The arrangement would rank among the largest private-sector financing efforts tied to a single technology theme. AI data centres are capital-intensive, requiring specialised chips, high-capacity power connections, cooling systems and lengthy construction timelines. As demand for generative AI models and cloud services has surged, the companies building the underlying infrastructure have sought new ways to raise money without relying solely on their own balance sheets.

Why AI infrastructure needs Wall Street

The scale of modern AI computing is difficult to overstate. Training advanced models and serving them to millions of users requires clusters of graphics processors working in parallel, supported by enormous amounts of memory, networking equipment and electricity. A single large data centre campus can cost tens of billions of dollars, and developers are increasingly planning facilities measured in gigawatts rather than megawatts. That makes access to capital as important as access to chips.

For Nvidia, the financing effort is also a way to support the broader ecosystem around its products. The company's processors are the central component in many AI systems, and demand for them has propelled Nvidia into the upper ranks of global technology companies. But the AI build-out depends on customers being able to finance the construction of data centres and the purchase of hardware. If capital becomes scarce or too expensive, orders can slow. Bringing in large asset managers and banks can help spread the cost and risk of that build-out across a wider group of investors.

The consortium named by Nvidia includes some of the most prominent names in global finance. Apollo Global and Blackstone are major alternative asset managers with deep experience in infrastructure and credit. BlackRock is the world's largest asset manager. Brookfield Asset Management has a long record of investing in infrastructure and energy. Goldman Sachs and KKR bring investment banking, private equity and capital markets expertise. Their involvement suggests the package could combine debt, equity and structured financing rather than relying on a single funding route.

Circular financing concerns

The proposal comes at a sensitive moment for AI-related stocks. Nvidia shares fell more than 2 percent during trading on Monday after the news was initially reported. The decline was modest in the context of Nvidia's huge market value, but it showed how closely investors are watching the financial relationships that underpin the AI boom.

In recent months, investors have expressed jitters around hundreds of billions of dollars in circular financial deals, in which companies such as Nvidia have helped finance the purchase of their own products, raising concerns of concentrated risk. The pattern is not unique to Nvidia, but the chipmaker sits at the centre of the AI supply chain, so its financing arrangements receive particular scrutiny. When a supplier helps a customer pay for its products, the supplier's revenue and the customer's spending become linked in ways that can be difficult for outside investors to assess.

Supporters of such arrangements argue that they are a practical response to the enormous capital needs of AI infrastructure. Data centre projects take years to build and generate returns only after they begin serving customers. Financing structures can bridge that gap and allow developers to move faster. They can also make it easier for AI companies to secure long-term computing capacity without tying up all their cash upfront. For lenders and investors, the appeal lies in long-term contracts and the expectation that demand for AI computing will remain strong.

Critics worry that the relationships can obscure risk. If the same companies that supply chips also help finance their purchase, and if the resulting data centres depend on customers that are themselves backed by the same investors, the chain of exposure can become complex. A slowdown in AI demand, a delay in construction or a rise in financing costs could ripple through multiple parties. The concern is not necessarily that any single deal is unsound, but that the aggregate scale of interconnected commitments could amplify stress if conditions change.

Chips from the likes of Nvidia and AMD make up the majority of the cost of AI-focused data centres. That gives chipmakers unusual influence over project economics. It also means that financing packages tied to chip purchases can be large relative to the total cost of a data centre. The proposed $500 billion package is designed for AI infrastructure projects more broadly, but the economics of chip supply are never far from the surface.

The Ohio data centre and OpenAI

Nvidia has reportedly been in talks to backstop as much as $250 billion to help OpenAI lease computing power from a 10-gigawatt data centre that SoftBank subsidiary SB Energy is building in Ohio. The chipmaker is also reportedly in discussions to finance $350 billion of OpenAI's purchases of its chips for the Ohio complex.

The Ohio project illustrates the scale of the next phase of AI infrastructure. A 10-gigawatt data centre would be one of the largest computing facilities ever planned, requiring power capacity comparable to that of a major industrial region. Building it would involve not only Nvidia chips but also land, transmission lines, cooling systems, construction labour and long-term power contracts. The financing would need to match the project's multiyear development schedule.

OpenAI's role is central because the company needs vast amounts of computing power to train and run its models. Leasing capacity from a purpose-built data centre can give OpenAI access to infrastructure without owning it outright. Nvidia's potential backstop would reduce risk for the developers and lenders by providing a form of credit support. The separate discussions over $350 billion of chip purchases would link the data centre's hardware supply directly to OpenAI's expansion plans.

The numbers are striking even by the standards of the AI industry. A $250 billion backstop and $350 billion of chip financing would together exceed the gross domestic product of many countries. They would also represent a significant share of the capital being deployed across the AI sector. The discussions are reportedly at an early stage and may not result in final agreements, but they show how quickly the financing requirements have escalated.

Market reaction and risk monitoring

The market reaction to the $500 billion package was restrained but telling. Nvidia shares fell more than 2 percent on Monday after the news was initially reported. Investors are weighing the benefits of stronger demand against the risks of greater financial entanglement. On one side, a large funding package could support data centre construction and, by extension, demand for Nvidia chips. On the other, it could deepen concerns about circular deals and the concentration of risk among a small number of AI companies and their financiers.

Regulators and credit rating agencies are likely to examine how such structures are documented and disclosed. The involvement of established financial institutions may improve governance and underwriting standards, but it also creates connections between banks, insurers, asset managers and technology companies that did not exist at this scale a few years ago. Investors will want to know who bears the risk if AI demand disappoints, who has recourse to which assets and how the financing is secured.

The AI build-out is also testing energy systems. Data centres are increasingly constrained by power availability, and utilities are being asked to accommodate loads that can rival those of factories or small cities. Financing packages that include energy infrastructure, such as the Ohio project, must navigate permitting, grid connections and long-term power pricing. Those factors can be as important as chip supply in determining whether a project is completed on time and within budget.

For Nvidia, the consortium approach may help it support customers without taking on all the financial burden itself. By working with Apollo Global, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR, the company can draw on different types of capital and expertise. The structure could become a template for future AI infrastructure deals if it succeeds in balancing demand support with disciplined risk allocation.

The proposed $500 billion package and the reported Ohio discussions are still evolving. What is clear is that the AI industry's capital needs have moved beyond the capacity of any single company's balance sheet. The next stage of the boom will depend not only on faster chips and larger models but also on the ability of financial markets to fund the physical infrastructure that underpins them. The talks around the Ohio complex and the broader funding package will be watched as a test of whether that financing can scale without creating new vulnerabilities.

Source: Silicon UK News

The company is said to be targeting a valuation of approximately 500bn yuan, or about $74bn, according to a Chinese business magazine that cited unnamed sources familiar with the discussions. That figure would represent a steep step up from the roughly 350bn yuan valuation attached to DeepSeek when its first round closed earlier in the summer, and would place the start-up among the most valuable privately held AI companies anywhere in the world.

At least one institutional investor is reportedly in advanced talks to participate. Monolith Management, a venture firm that has backed Beijing-based Moonshot AI, the developer behind the Kimi family of models, is said to be negotiating a contribution, according to financial media reports. Neither DeepSeek nor Monolith has commented publicly on the talks, and neither the size nor the structure of any individual commitment has been disclosed.

A fundraising process restarted

The second round was suspended in July, shortly after remarks the company made to investors circulated more widely than intended. The pause was widely read as a signal that DeepSeek wanted to reset the terms and the narrative around the raise before re-engaging with backers. Restarting the process at a higher target suggests the company's leadership concluded that demand for a stake remained strong despite the interruption.

Details of the structure are thin. It is not clear whether the round will consist entirely of primary capital, whether early backers will be permitted to sell down portions of their holdings, or how much of the total has already been informally committed. Chinese AI financing rounds of this size are frequently assembled from a mixture of state-linked funds, private venture capital, strategic investors from the hardware and cloud sectors, and, in some cases, offshore vehicles.

A valuation that has climbed rapidly

The trajectory of DeepSeek's valuation illustrates how quickly sentiment has shifted around Chinese frontier-model developers. The first round, concluded earlier in the summer at roughly 350bn yuan, was itself regarded as an extraordinary mark for a company that was founded only in 2023 and that had, until early 2025, been viewed mainly as a research curiosity rather than a commercial challenger.

If the new round clears at 500bn yuan, it would imply an increase of more than 40% in a matter of months — a pace of appreciation that would be unusual even for the most hyped Silicon Valley laboratories. Some of that uplift likely reflects the broader re-rating of Chinese AI assets over the past year, as domestic model developers secured larger rounds and as investors grew more confident that open-weight models could sustain viable businesses.

The Inner Mongolia data centre

A significant portion of the proceeds is expected to be directed towards a large data centre project in Inner Mongolia, the northern Chinese region that has become a magnet for compute-intensive infrastructure because of its cheap electricity, cool climate and proximity to renewable generation. The project forms part of a broader effort by DeepSeek to secure access to roughly 1 gigawatt of computing power, a target that may be met through a combination of self-built facilities and leased capacity from third-party operators.

One gigawatt is a difficult figure to grasp in the abstract. For context, a gigawatt of IT load represents a cluster of tens of thousands of high-end accelerators and the power, cooling and networking to keep them running — the sort of campus that hyperscale cloud providers typically build over multiple years and multiple phases. Securing that quantity of capacity would represent a step change in DeepSeek's ability to train and serve models, moving it from a company that has made a virtue of doing more with less into one that commands resources comparable to major technology groups.

Leasing capacity from third parties would allow DeepSeek to expand without carrying the full capital burden of construction, though it typically comes at a higher marginal cost and with less control over scheduling and utilisation. Building in Inner Mongolia offers lower operating costs but slower timelines and greater exposure to power allocation decisions made at a regional level.

A coming price increase

Alongside the infrastructure plans, DeepSeek told users last Thursday that it intended a substantial rise in prices, without specifying the scale of the increase or the date on which new pricing would take effect. The notice marked a notable departure for a company that built its reputation on undercutting rivals by wide margins.

DeepSeek currently charges $0.14 per million input tokens and $0.28 per million output tokens. By comparison, Moonshot's latest Kimi K3 is priced at $3 and $15 respectively, while Anthropic's latest Fable 5 sits at $10 and $50. Even a large percentage increase would leave DeepSeek at the low end of the market, but the direction of travel is significant: the company appears to be signalling that the era of almost give-away inference is ending.

The most plausible reading is that DeepSeek is trying to align price with the true cost of serving a rapidly expanding user base. Cheap tokens attract volume, and volume consumes accelerators. With a gigawatt of new capacity to pay for, and with investors expecting a path to sustainable economics, higher prices on at least some tiers look increasingly necessary.

The economics of cheap inference

DeepSeek's rise was built on an uncomfortable proposition for incumbents: that frontier-level performance could be achieved at a fraction of the assumed cost. Its models were trained with novel efficiency techniques — heavily optimised mixture-of-experts architectures, aggressive use of lower-precision arithmetic, and infrastructure engineering that squeezed more throughput from constrained hardware — and released with open weights that anyone could download and run.

That combination upended assumptions in Western capitals, where hundreds of billions of dollars were being committed to data centre build-outs on the premise that scale of compute was the decisive advantage. The release of DeepSeek's reasoning model in January 2025 triggered a sharp sell-off in semiconductor stocks and a prolonged argument among researchers and investors about how much of the prevailing capital expenditure was genuinely necessary.

Efficiency, however, is not the same as free. Serving hundreds of millions of requests places different demands on infrastructure than training a single large model, and inference costs scale with usage rather than with the size of the training run. As DeepSeek's consumer application climbed download charts in early 2025, the company repeatedly had to ration capacity, pause new sign-ups and slow response times. The gigawatt plan should be understood in that light: it is an attempt to convert research prestige into reliable, always-on service.

From hedge fund spin-out to global challenger

DeepSeek was founded in 2023 by Liang Wenfeng, a quantitative investor who built his fortune running the High-Flyer hedge fund and who funded the AI venture largely from his own resources in its early phase. That unusual structure gave the company something most start-ups lack: patience. It could hire researchers, buy compute and publish results without the constant pressure of a venture timetable.

Its first models drew attention for strong benchmark scores relative to their size. A mid-2024 release widely credited with igniting a domestic price war in China established the pattern that would define the company: competitive or superior performance at prices that forced rivals to cut their own rates. Subsequent generations cemented its reputation, and the release of open-weight reasoning models turned it into a global reference point almost overnight.

DeepSeek is also a product of its geography. Hangzhou has become one of China's densest concentrations of AI and robotics talent, home to a cluster of companies spanning e-commerce, embodied intelligence and gaming. That ecosystem supplies both engineers and suppliers, and it gives local firms an advantage in recruiting against rivals in Beijing and Shenzhen.

Compute constraints and export controls

The single largest uncertainty hanging over any Chinese frontier-model developer is access to advanced semiconductors. Successive rounds of export restrictions have limited the availability of the most capable accelerators, pushing companies towards domestic alternatives, older stockpiles and heavy engineering workarounds. DeepSeek's efficiency gains were partly a response to those constraints, born of necessity rather than pure research ambition.

That makes the Inner Mongolia project strategically as well as financially important. Domestic data centre capacity, paired with domestically produced chips, would reduce exposure to supply-chain shocks and to the whims of overseas policy. It would also, however, tie the company's fortunes more closely to the performance and yields of China's own semiconductor industry, which remains some distance behind the leading edge.

What the round would unlock

The proceeds from a completed round would give DeepSeek room to accelerate construction, lock in power agreements and pre-purchase equipment before further tightening of supply. It would also provide a war chest for hiring, as competition for experienced researchers intensifies across Chinese AI laboratories that have themselves raised substantial sums.

Should the round close near the reported terms, DeepSeek would join a small group of privately held AI companies valued in the tens of billions of dollars, alongside the largest American laboratories and a handful of Chinese peers. The reported interest from Monolith suggests that investors already exposed to rival Chinese model developers see value in holding positions across several of them rather than betting on a single winner.

For now, the raise remains a set of negotiations rather than a completed transaction, with the final valuation, the roster of participants and the allocation of proceeds all subject to change. What is already visible is the strategy: a company that once distinguished itself by spending little is preparing to spend a great deal, on power, on land and on silicon, while simultaneously asking its users to pay more for the tokens it produces.

Source: Silicon UK News

Une rupture consommée depuis plus d'un an et demi

À l'origine du conflit, un contrat de partenariat publicitaire signé le 17 janvier 2022 entre Serigne Khabane Lame, dit Khaby, et le Groupe Expresso Télécom, maison mère d'Expresso Sénégal. L'accord, d'une durée d'un an, comportait une clause on ne peut plus classique : il n'était renouvelable que par « accord mutuel des deux parties ». À l'échéance, aucune prolongation n'a été formalisée, « ni par Khaby Lame ni par la société IRON qui le représentait à l'époque », précise le communiqué.

Or, plus de dix-huit mois après la fin officielle du contrat, l'opérateur continuerait d'exploiter l'image du créateur de contenus dans ses campagnes de communication. « Nous avons constaté avec une grande surprise et beaucoup de regrets que la société Expresso Sénégal utilise toujours l'image de Khaby Lame pour des campagnes publicitaires en totale violation de la loi », indique la société milanaise. Une situation d'autant plus embarrassante que l'intéressé est lui-même de nationalité sénégalaise d'origine, ce qui rend le différend particulièrement sensible sur le marché ouest-africain.

Les termes d'un accord arrivé à expiration

La chronologie rapportée par Khaby Lame srl est précise et semble avoir été documentée en vue d'un contentieux. Elle s'articule autour de plusieurs éléments clés :

• 17 janvier 2022 : signature d'un contrat d'ambassadeur d'une durée d'un an avec le Groupe Expresso Télécom, maison mère d'Expresso Sénégal.
• Janvier 2023 : fin de contrat sans clause de reconduction automatique, la prolongation étant subordonnée à un accord mutuel explicite.
• Après janvier 2023 : absence de tout avenant ou de nouveau contrat, tant du côté de l'influenceur que de la société IRON, son agent de l'époque.
• 2024 : constat de la persistance de l'exploitation de l'image de Khaby Lame dans des campagnes publicitaires de l'opérateur.

Sur le plan juridique, l'argumentation de la partie demanderesse repose sur une idée simple : l'expiration d'un contrat de cession de droits d'image met fin, de facto, à toute autorisation d'exploitation. Toute utilisation postérieure, même partielle, même non commerciale, devient une atteinte au droit à l'image et, le cas échéant, au droit d'auteur sur les contenus produits.

Me Mouhamadou Bamba Cissé mandaté pour porter le dossier

Face à ce qu'elle qualifie d'impasse amiable, la société Khaby Lame srl a confié le dossier au cabinet de Me Mouhamadou Bamba Cissé, avocat inscrit au barreau du Sénégal. Sa mission : intenter une action en justice contre Expresso Sénégal et obtenir la reconnaissance judiciaire de la violation des droits de son client. « L'affaire est pendante devant les juridictions sénégalaises depuis plusieurs mois », précise le communiqué, ce qui confirme que la procédure n'est pas une simple menace brandie sur la place publique mais bien une action déjà enrôlée.

Le choix de porter le litige devant les tribunaux sénégalais n'est pas anodin. Il traduit la volonté de la partie demanderesse d'obtenir une décision exécutoire dans le pays où les campagnes incriminées ont été diffusées, plutôt qu'un jugement rendu à l'étranger et difficilement applicable. Cela permet aussi de mobiliser le droit sénégalais, notamment les dispositions relatives au droit à l'image, à la responsabilité civile et à la protection des œuvres et des prestations des créateurs de contenus.

Qui est Khaby Lame, l'homme le plus suivi de TikTok ?

Né le 9 mars 2000 à Dakar, Serigne Khabane Lame a grandi à Chivasso, dans la banlieue de Turin, après l'installation de sa famille en Italie alors qu'il était encore nourrisson. Ouvrier sur machines à commande numérique, il perd son emploi au début de la pandémie de Covid-19 et se lance, en mars 2020, dans la publication de vidéos courtes sur TikTok. Son concept est d'une efficacité redoutable : sans prononcer un mot, il tourne en dérision les tutoriels « astuces » inutilement compliqués en reproduisant la solution la plus évidente, avec un haussement d'épaules devenu signature.

Le succès est fulgurant. En moins de deux ans, il devient le créateur le plus suivi de la plateforme, dépassant les 160 millions d'abonnés et détrônant les stars américaines du réseau social. En août 2022, il obtient la nationalité italienne, une décision saluée comme une reconnaissance symbolique du parcours d'un enfant d'immigrés sénégalais devenu icône mondiale. Ses partenariats avec de grandes marques internationales, du luxe à la tech, en passant par la grande distribution et les opérateurs télécoms, constituent aujourd'hui l'essentiel de ses revenus, ce qui explique la sensibilité extrême de son entourage à toute exploitation non autorisée de son image.

Cette stature particulière explique aussi pourquoi l'affaire dépasse le simple cadre d'un litige commercial : en attaquant un opérateur historique sur son propre territoire, Khaby Lame expose publiquement la valeur marchande de son effigie et la nécessité d'en contrôler chaque usage.

Le droit à l'image, un terrain encore peu balisé en Afrique de l'Ouest

Au Sénégal, la protection de l'image et de la notoriété s'appuie sur un empilement de textes : le droit commun de la responsabilité civile, les dispositions sur le droit d'auteur et les droits voisins, ainsi que les règles encadrant la publicité et les communications électroniques. Le principe demeure que toute exploitation commerciale de l'effigie d'une personne requiert son consentement préalable, exprès et, surtout, limité dans le temps et dans son objet.

Mais la jurisprudence reste relativement rare, et les créateurs de contenus africains ont longtemps été réticents à saisir la justice, faute de moyens, de contrats solides ou de conseils spécialisés. Le développement du marché de l'influence a changé la donne : les cachets se sont envolés, les marques multinationales se sont engouffrées dans le vide, et les contentieux autour de l'utilisation d'images après expiration des contrats se multiplient. Le dossier Expresso-Khaby Lame pourrait devenir un cas d'école pour toute la filière.

Un enjeu financier et stratégique pour les deux parties

Du côté de Khaby Lame srl, l'argument avancé est loin d'être uniquement symbolique. La société affirme que cette utilisation non autorisée « met en péril plusieurs de ses contrats », en ce qu'elle brouille la lisibilité des partenariats exclusifs de l'influenceur : une marque qui paie pour une exclusivité sectorielle supporte mal de voir son ambassadeur associé, sans contrat, à un concurrent. La demande devrait donc porter à la fois sur la cessation immédiate de l'exploitation, sur la réparation du préjudice subi et, possiblement, sur des mesures de publication de la décision.

Du côté d'Expresso Sénégal, l'enjeu est double : financier, avec un risque d'indemnisation, mais aussi d'image. L'opérateur, qui évolue sur un marché télécoms sénégalais très concurrentiel, a bâti plusieurs campagnes autour de visages connus, et se retrouve accusé d'avoir poursuivi l'exploitation d'un contrat échu. Aucune réponse publique de l'entreprise n'a été rendue publique à ce stade.

Ce que la justice sénégalaise pourrait décider

La procédure, déjà pendante depuis plusieurs mois, pourrait déboucher sur plusieurs types de décisions, souvent combinées :

• Une injonction de cesser toute utilisation de l'image et du nom de Khaby Lame dans les supports publicitaires de l'opérateur.
• La condamnation à des dommages et intérêts en réparation du préjudice moral et commercial, évalué notamment à l'aune des cachets habituels de l'influenceur.
• La nullité ou l'inopposabilité de tout support contractuel invoqué par la défense pour justifier la poursuite des campagnes.
• La publication de la décision dans la presse ou sur les supports de l'entreprise, mesure fréquemment sollicitée dans les affaires d'atteinte au droit à l'image.

Reste une question centrale : celle de la preuve. La partie demanderesse devra établir la réalité, la date et l'ampleur des diffusions litigieuses, ce qui suppose de constituer un dossier de constats, de captures et d'attestations. La défense, de son côté, pourrait tenter de démontrer l'existence d'un accord tacite, d'une tolérance prolongée ou d'une cession de droits plus large que ce que prévoyait le contrat initial.

Un précédent pour les créateurs africains

Au-delà des deux parties, l'affaire illustre une mutation profonde : les créateurs de contenus du continent ne sont plus de simples relais d'image que l'on peut utiliser à loisir. Ils s'entourent de sociétés de gestion, de contrats verrouillés et d'avocats capables de porter un litige devant les juridictions nationales. La mondialisation de l'économie de l'influence a fait naître une contrepartie logique, celle de la judiciarisation des rapports contractuels.

Pour les annonceurs, le message est limpide : la fin d'un contrat ne signifie pas la fin des obligations. Continuer à diffuser une campagne après l'échéance expose à une action en justice, y compris lorsque les visuels ont été produits et payés du temps où l'accord était valide. Le renouvellement, l'archivage et le retrait des supports doivent désormais être pensés comme des étapes à part entière de la relation avec un ambassadeur.

Pour Khaby Lame, l'affaire s'inscrit dans une stratégie de long terme : transformer une notoriété planétaire en actif juridiquement protégé. Le communiqué de sa société ne demande rien d'autre que le respect du droit sénégalais et la préservation d'une carrière construite en quatre ans à peine, depuis une chambre de la banlieue turinoise jusqu'aux campagnes mondiales. La réponse appartient désormais aux juges, et le calendrier des audiences dira si le dossier se règle par un accord transactionnel ou par une décision de justice susceptible de faire jurisprudence pour toute une génération de créateurs africains.

Source: Seneweb News

• Zendaya Maree Stoermer Coleman est née le 1er septembre 1996 à Oakland, en Californie.
• Elle est la fille de Kazembe Ajamu Coleman, enseignant et entraîneur, et de Claire Stoermer, qui a travaillé comme directrice de maison au California Shakespeare Theater.
• Elle s’est fait connaître dans les années 2010 comme actrice enfant, notamment dans la série Shake It Up de Disney Channel, avant de devenir une figure majeure de la série Euphoria de HBO.
• Les noms associés à sa fratrie dans les informations publiques sont Katianna Stoermer Coleman, Austin Stoermer Coleman, Annabella Stoermer Coleman et Julien Stoermer Coleman.
• Plusieurs de ses frères et sœurs ont eu des expériences dans la musique, le mannequinat, la comédie ou la production, mais ils restent globalement discrets.
• Zendaya est décrite comme proche de sa famille, avec des parents qui ont soutenu sa carrière et l’ont aidée à garder un équilibre dans l’industrie du divertissement.

Une fratrie souvent citée mais rarement exposée

Zendaya Maree Stoermer Coleman est née le 1er septembre 1996 à Oakland, en Californie. Elle est la fille de Kazembe Ajamu Coleman et de Claire Stoermer. Son père est décrit comme enseignant et entraîneur, tandis que sa mère a travaillé comme directrice de maison au California Shakespeare Theater. Ce cadre familial a joué un rôle important dans son éveil artistique, puisqu’elle a été exposée très tôt au théâtre et à la scène. Les articles consacrés à sa famille évoquent une fratrie de cinq enfants, avec plusieurs demi-frères et demi-sœurs issus d’une précédente relation de son père. Les noms les plus souvent cités sont ceux de Katianna, Austin, Annabella et Julien. Cette présentation peut prêter à confusion, car certains portraits mentionnent Julien à la fois comme un demi-frère et comme un frère cadet. Il est donc prudent de s’en tenir aux éléments les plus constants : Zendaya a grandi entourée de plusieurs frères et sœurs, et elle entretient des liens étroits avec eux.

Katianna Stoermer Coleman, la demi-sœur aînée

Katianna Stoermer Coleman est présentée comme la demi-sœur aînée de Zendaya. Elle aurait elle aussi tenté sa chance dans le mannequinat et la comédie. Les informations disponibles indiquent qu’elle est apparue dans quelques courts métrages et qu’elle a posé pour diverses marques. Son parcours reste toutefois beaucoup moins documenté que celui de Zendaya, ce qui s’explique par un choix de discrétion et par une exposition médiatique limitée. Comme plusieurs membres de la fratrie, Katianna préfère garder sa vie privée à l’écart des projecteurs. Son nom revient parfois dans les articles consacrés à la famille de la star, mais les détails sur sa carrière et son quotidien sont rares. Cette réserve est cohérente avec l’image d’une famille qui soutient Zendaya sans chercher à profiter de sa notoriété.

Austin Stoermer Coleman, musique et production

Austin Stoermer Coleman, parfois simplement appelé Austin, est décrit comme rappeur et producteur. Il aurait utilisé le nom de scène Astro et se serait produit dans divers festivals de musique. Les informations rapportées indiquent qu’il a assuré des premières parties pour des artistes tels que Wiz Khalifa et J. Cole. Il est également apparu sur les comptes de médias sociaux de Zendaya et dans certains de ses clips musicaux. Ces apparitions ont contribué à le faire connaître auprès du public de sa sœur, même s’il n’a pas acquis une notoriété comparable à celle de l’actrice. Son parcours illustre la diversité des talents au sein de la famille Coleman-Stoermer, où la musique, la scène et l’image occupent une place importante. Austin reste néanmoins discret sur sa vie personnelle et sur ses projets les plus récents.

Annabella Stoermer Coleman, mannequinat et comédie

Annabella Stoermer Coleman, souvent appelée Annabella, est également associée à l’industrie du divertissement. Elle aurait posé pour des marques comme Calvin Klein et serait apparue dans des clips musicaux, notamment pour Lil Nas X. Elle est aussi présentée comme une actrice en herbe, avec quelques rôles dans des courts métrages. Son profil ressemble à celui de plusieurs jeunes talents qui construisent progressivement leur carrière entre mannequinat, image et jeu. Là encore, les informations publiques restent limitées et proviennent souvent de rares apparitions ou de mentions dans les médias. Annabella n’a pas cherché à médiatiser son lien familial avec Zendaya, ce qui renforce l’impression d’une fratrie soudée mais protectrice de son intimité.

Julien Stoermer Coleman, le frère cadet

Julien Stoermer Coleman est présenté comme le petit frère de Zendaya. Il serait né le 3 décembre 1998. Les détails sur son parcours sont très rares, car il est resté en dehors de la sphère publique. Cette discrétion contraste avec la carrière très exposée de Zendaya, mais elle n’indique pas une distance familiale. Au contraire, les rares éléments disponibles suggèrent que la star est proche de tous ses frères et sœurs et qu’elle partage parfois des photos d’eux sur ses réseaux sociaux. Pour Julien, la priorité semble être une vie normale, loin des interviews et des événements médiatiques. Son nom apparaît surtout dans les articles qui cherchent à dresser un portrait complet de la famille de Zendaya, sans que l’on connaisse précisément ses activités professionnelles.

Des parents présents et un soutien familial revendiqué

Au-delà de sa fratrie, Zendaya est également très proche de ses parents. Sa mère, Claire Marie Stoermer, a travaillé comme directrice de maison au California Shakespeare Theater. Son père, Kazembe Ajamu Coleman, est enseignant et entraîneur. Zendaya a déclaré que ses parents avaient soutenu sa carrière et l’avaient aidée à garder les pieds sur terre dans l’industrie du divertissement. Ce soutien est souvent mis en avant dans les portraits de la star, qui a commencé à travailler jeune sans perdre le lien avec sa famille. La présence de ses proches aurait joué un rôle protecteur dans un milieu où les pressions sont fortes. Cette stabilité familiale est régulièrement citée comme l’un des piliers de son parcours, aux côtés de sa formation artistique et de son travail acharné.

Une famille élargie parfois mentionnée

La famille de Zendaya ne se limite pas à ses parents et à ses frères et sœurs. Une cousine, Kaylee Stoermer Coleman, née en 2000 aux États-Unis, est parfois mentionnée dans les articles people. Son lien avec Zendaya lui a valu une certaine visibilité, même si elle reste elle aussi relativement discrète. Les médias s’intéressent parfois à l’entourage de la star, en particulier lorsque des membres de sa famille apparaissent sur les réseaux sociaux ou lors d’événements. Ces mentions ne signifient pas que tous cherchent à faire carrière dans le divertissement. Elles montrent plutôt que la notoriété de Zendaya attire l’attention sur son cercle familial, y compris sur des proches qui préfèrent une vie éloignée des caméras. La frontière entre vie privée et intérêt public reste donc un enjeu central pour la famille.

Le parcours de Zendaya, entre Disney et Euphoria

Pour comprendre l’intérêt autour de sa fratrie, il faut rappeler l’ampleur de la carrière de Zendaya. Elle s’est fait connaître dans les années 2010 comme actrice enfant, notamment dans la série Shake It Up de Disney Channel. Ce programme lui a permis de se faire un nom auprès d’un jeune public, avant de prendre des rôles plus matures. Sa participation à Dancing with the Stars en 2013 a également renforcé sa visibilité. Par la suite, elle a joué dans des films comme Spider-Man: Homecoming et The Greatest Showman, puis elle a connu un tournant majeur avec la série Euphoria de HBO. Son interprétation de Rue Bennett lui a valu plusieurs distinctions et a confirmé son passage à des rôles dramatiques exigeants. Elle a aussi travaillé sur Malcolm & Marie, Dune et Challengers, ce qui a consolidé sa place parmi les actrices les plus suivies de sa génération. Cette carrière intense explique pourquoi les médias s’intéressent à son environnement familial, même si elle tente de préserver l’intimité de ses proches.

Questions fréquentes sur Zendaya et sa famille

Quel âge a Zendaya ?

Zendaya est née le 1er septembre 1996. En date du 3 janvier 2023, elle était âgée de 26 ans. Son âge évolue évidemment avec le temps, mais cette date de naissance reste la référence pour calculer son âge.

Quel est le nom complet de Zendaya ?

Son nom complet est Zendaya Maree Stoermer Coleman. Le prénom Zendaya

Source: Actu PME News

ModelBest is one of the more prominent players in on-device AI, a field often described as edge AI or local AI. Its funding comes as AI developers rethink where computation should happen. Many current AI features already run locally on phones, but more demanding tasks are typically routed through cloud facilities. That approach can add latency, increase costs and raise privacy questions because user data must travel to remote servers.

A shift away from cloud-only AI

The industry is not abandoning large cloud models. Companies continue to develop models with trillions of parameters, and those systems remain central to advanced AI services. At the same time, developers are building smaller, more efficient models and techniques that allow increasingly powerful tasks to run on the device itself. The goal is not always to replace cloud AI but to divide work intelligently between local hardware and remote infrastructure.

On-device processing can be especially attractive for tasks that need immediate responses, such as voice assistants, translation, photo editing, text prediction and personal productivity tools. When a model runs locally, it can often respond faster and continue working without a network connection. Local processing can also keep sensitive data on the handset or laptop, reducing the amount of information sent to third parties.

The trade-off is that smartphones and laptops have limited computing power, memory and battery life compared with data centers. Running large models locally requires compact architectures, efficient training methods and hardware acceleration. This is why the latest wave of edge AI is focused on small but capable models, as well as specialized chips that can handle AI workloads without draining too much power.

ModelBest and Huawei chips

ModelBest has been positioning itself at the center of this transition. In May, the company said its billion-parameter on-device MiniCPM5-1B model was trained entirely on Huawei’s Ascend chips. The model achieved top benchmark scores on Artificial Analysis’ index for open-weights models under 2 billion parameters. That detail matters because it shows how China’s AI ecosystem is trying to build a more self-reliant stack, from chips to models to applications.

In China, edge AI is seen as a way to take advantage of locally produced AI chips. These chips are often better suited to training and running lighter-weight models than the most advanced frontier products. For Chinese developers, on-device AI offers a practical route to deploy AI features on consumer hardware while working within hardware and supply-chain constraints. It also creates opportunities for device makers, chip designers and software companies to collaborate on optimized systems.

The funding round suggests investors believe on-device AI can become a large market. A valuation of 20 billion yuan places ModelBest among the more closely watched AI start-ups in the country. The participation of Shanghai Mejoy Capital, which announced the round on social media, also signals that financial backers are looking beyond cloud-based model training and toward deployment at the edge.

StepFun launches edge models and a phone

Shanghai-based StepFun, which is backed by Tencent Holdings, has taken a similar bet. Last week, the company announced Step Edge, a family of on-device AI models designed to offer low latency, local data processing and the ability to handle simple tasks without a network connection. Those features align with the core promise of edge AI: faster responses, greater privacy and more reliable performance in places where connectivity is limited.

A day later, StepFun announced the StepX Neo, a smartphone designed around autonomous AI agents. According to the company, the agents are built to interpret complex user requests and carry out tasks independently. StepFun did not provide a launch date or pricing for the device. The announcement nonetheless illustrates how AI companies are moving beyond software and into hardware, hoping to design devices that make local AI a central part of the user experience.

The idea of an AI agent phone is still emerging. Instead of opening separate apps for each task, a user might ask the device to plan a trip, organize messages, edit a document or coordinate multiple services. Such features would require a combination of local models, cloud services and secure integration with personal data. Running part of that workload on the device could make interactions faster and more private, while more complex requests might still be handled in the cloud.

Apple’s on-device strategy

Apple is pursuing a parallel strategy. The company is relying on third-party providers such as Google and OpenAI for high-end tasks while also working on on-device models. Last month, Apple announced the 3 billion parameter AFM 3 Core and a more advanced 20 billion parameter model that activates between 1 and 4 billion parameters based on user tasks. Both are designed to run on devices.

That approach reflects a hybrid model for AI. A device can use a smaller local model for routine requests, then call on a larger cloud model when a task demands more reasoning or knowledge. The local model can handle quick actions, preserve privacy and reduce network dependence, while the cloud model can deliver more advanced capabilities. The challenge is making that handoff seamless and predictable for users.

Apple is also evaluating technology from Silicon Valley firm PrismML, which claimed last week to have successfully run Alibaba’s 27 billion-parameter Qwen 3.6 model locally on an iPhone. If such demonstrations can be translated into reliable consumer features, they would mark a significant step for edge AI. Running a model of that size on a phone would require aggressive optimization, memory management and hardware acceleration, and it remains to be seen how well it performs in everyday conditions.

Alibaba and Baidu are providing technology for Apple’s AI products in China, the companies said last week. The partnerships highlight how global device makers must adapt their AI strategies to local markets, where regulatory requirements, language needs and available services can differ sharply. For Apple, China is both a major market and a complex operating environment, making local partners important for AI features.

Why investors are watching edge AI

The appeal of edge AI extends across the technology industry. Cloud AI can be expensive at scale because every request consumes data center compute, bandwidth and energy. Moving some tasks to devices can reduce those costs and ease pressure on infrastructure. It can also improve reliability when networks are congested or unavailable. For device makers, on-device AI can become a selling point, differentiating phones and laptops that offer faster, more private features.

For start-ups, the edge creates new opportunities to compete. Instead of trying to match the largest cloud models parameter for parameter, smaller companies can focus on efficient models, specialized hardware support and tight integration with devices. ModelBest’s work with Huawei chips and StepFun’s launch of edge models and a phone are examples of that strategy. They are not only building models but also trying to shape the systems in which those models run.

The market still faces obstacles. Developers must manage memory constraints, battery use and thermal limits. They must ensure that local models remain accurate and safe while operating with less compute. Device makers must decide which tasks should stay on the phone and which should be sent to the cloud. Regulators and consumers will also ask how personal data is handled when AI processing moves closer to the user.

Even so, the direction of travel is clear. AI companies are no longer treating the cloud as the only place for serious computation. They are designing smaller models, optimizing chips and building devices that can handle meaningful AI workloads locally. The latest funding for ModelBest and the new products from StepFun show that investors and developers see edge AI as a practical next stage, not just a research experiment.

As smartphones and laptops become more capable, the boundary between local and remote AI will keep shifting. The most successful products may be those that combine both approaches, using on-device models for speed and privacy while drawing on cloud systems for advanced tasks. For now, the race is on to make powerful AI feel immediate, personal and available wherever a device is used.

Source: Silicon UK News

• DeepSeek has begun preliminary talks with new investors about a fresh funding round.
• The discussions began about one month after the company closed its first-ever external funding round.
• DeepSeek is seeking a pre-money valuation of about $71 billion, or roughly £53 billion.
• The Hangzhou-based start-up is known for bringing mainland China-based artificial intelligence into the global spotlight in early 2025.
• It is believed to have raised about $7 billion at the end of May at a post-funding valuation of about $52 billion.
• The new $71 billion target would represent a 37 percent increase over the previous valuation.
• The accelerated fundraising reflects expectations of higher capital expenditure, including a planned data centre and more AI chips.
• Demand for computing power is reportedly rising as DeepSeek builds AI agents that can carry out tasks for users.
• A regulatory filing by luggage maker Anhui Korrun appeared to confirm an initial valuation of 350.88 billion yuan, or about $51.8 billion.
• Anhui Korrun said a fund it invested in obtained an indirect 0.8265 percent stake in DeepSeek for 2.9 billion yuan.
• DeepSeek previously relied on its parent hedge fund, High-Flyer, for capital before turning to external fundraising.
• The company has begun preparations for a listing on Shanghai's STAR Market and aims to file IPO paperwork this year.

DeepSeek has begun preliminary talks with new investors about a fresh funding round, according to reports, just one month after closing its first-ever external raise. The Hangzhou-based artificial intelligence start-up is seeking a valuation of about $71 billion before the new money, a figure that would mark another rapid step up for one of China's most closely watched private technology companies. The earlier round is believed to have raised about $7 billion at a post-funding valuation of about $52 billion at the end of May. The reported new target would be roughly 37 percent higher than that mark.

The speed of the discussions is unusual even in the fast-moving artificial intelligence sector. DeepSeek only recently opened itself to outside capital after relying on its parent hedge fund, High-Flyer. That decision reflected a need to retain staff and fund broader capital expenditures, according to local media reports. A second fundraising process so soon after the first suggests that the company's spending plans have expanded faster than its earlier capital base allowed, and that investors remain willing to commit money to leading Chinese AI developers despite broader economic and geopolitical uncertainty.

Reports point to rising expenditures as the main driver. DeepSeek is expected to build its own data centre and purchase more AI chips, steps that would require significant upfront investment. The company is also reportedly seeing more demand for computing power as it moves into building AI agents that can carry out tasks on behalf of users. AI agents typically require sustained inference capacity, meaning that a company must pay for chips and data centre operations not only during model training but also every time a user asks an agent to complete a task. That shift can turn a research-heavy business into one with large, recurring infrastructure costs.

The valuation figures have gained rare public visibility through a regulatory filing by luggage maker Anhui Korrun. The company said in a filing that a fund it invested in obtained an indirect 0.8265 percent stake in DeepSeek for 2.9 billion yuan, implying a valuation of 350.88 billion yuan, or about $51.8 billion. Because DeepSeek is a private company and has never disclosed details of its funding activities, the filing offered an unusual confirmation of the scale of its initial external round. It also underlined how Chinese listed companies can sometimes reveal information about private technology investments through their own disclosure obligations.

DeepSeek's rise has been closely tied to its parent, High-Flyer. The hedge fund provided capital during the start-up's early years, allowing it to pursue long-term research without the pressure of a conventional venture funding cycle. DeepSeek became widely known in early 2025 after releasing models that demonstrated strong performance at lower reported cost than many global peers. That combination of capability and cost efficiency drew attention to China's AI ecosystem and raised questions about the assumptions behind large-scale AI spending elsewhere. It also made DeepSeek a symbol of how Chinese developers were adapting to constraints on access to advanced chips and to a highly competitive domestic market.

The company's model strategy has focused on efficiency, open access, and practical deployment. Its releases have been watched not only by developers but also by investors who want to know whether Chinese firms can compete at the frontier while spending less. The new fundraising discussions suggest that DeepSeek's own answer is that it needs more capital, not less, as it moves from model releases to infrastructure and agent-based products. Building a data centre would give the company more control over its compute supply, but it would also add fixed costs and operational complexity. Purchasing more AI chips would ease capacity constraints, though access to advanced hardware remains a sensitive issue across the industry.

Reports also indicate that DeepSeek is considering an external funding round of up to 50 billion yuan at a valuation of roughly 500 billion yuan. That would be a larger raise than the initial external round and would give the company a substantial war chest for infrastructure, hiring, and product development. The precise size and structure of the new round have not been finalised, and private company valuations can change as negotiations proceed. Still, the direction is clear: DeepSeek is preparing for a more capital-intensive phase.

The start-up has also begun preparations for a listing on Shanghai's STAR Market and is aiming to file IPO paperwork this year, according to reports. The STAR Market was created to support technology companies and has become a key venue for China's semiconductor, software, and advanced manufacturing sectors. A listing would give DeepSeek access to public capital and a more formal valuation benchmark, but it would also bring disclosure requirements and scrutiny that private AI companies have so far avoided. The combination of a new private round and IPO preparation suggests that the company is building a capital structure for the next stage of growth rather than relying on a single funding event.

DeepSeek's move comes amid a broader wave of fundraising among Chinese AI start-ups. Moonshot AI is raising a new round that would value it at about $31.5 billion, according to reports, showing that investors are still willing to back leading domestic players. Larger technology companies, including Alibaba, Tencent, ByteDance, and Baidu, are also investing heavily in models, cloud infrastructure, and AI applications. The competitive field is crowded, and each major player is trying to secure talent, compute, and distribution. For DeepSeek, the challenge is to convert its reputation for efficient models into a durable business that can support large infrastructure costs and retain key researchers.

Retaining staff has been a recurring theme in China's AI sector. Top researchers can choose between well-funded start-ups, large technology platforms, and international opportunities. DeepSeek's external fundraising was partly aimed at helping the company retain staff and fund broader capital expenditures, according to local media reports. A higher valuation can help in recruitment by giving employees a clearer sense of the company's market value, but it also raises expectations. Investors at a $71 billion pre-money valuation will want to see progress toward revenue, product adoption, and a credible path to public markets.

The reported $71 billion valuation would place DeepSeek among the most valuable private AI companies in the world. It would also intensify comparisons with global peers and with other Chinese start-ups. Those comparisons are complicated by differences in access to chips, cloud capacity, and capital markets. DeepSeek's cost-efficient approach has been a central part of its appeal, but the shift toward data centres and AI agents may require a different kind of spending. The company must balance research ambition with infrastructure discipline, and it must do so while preparing for a public listing that could bring additional transparency.

The broader market context is one of rapid investment and shifting expectations. AI companies globally are raising large sums to build data centres, secure energy, and acquire advanced chips. In China, the emphasis is also on domestic supply chains, cloud partnerships, and applications that can be deployed at scale. DeepSeek's plans fit into that pattern. Its reported decision to seek new money so soon after its first external round shows that the competition for compute and talent is not slowing. The outcome of that effort, and of DeepSeek's own IPO preparation, will shape how investors value China's leading private AI developers in the months ahead.

Source: Silicon UK News

Investment into UK artificial intelligence companies reached £4.56 billion in the second quarter of 2026, a new high for the sector and another signal that AI has become a central driver of the country’s private-company funding market. The total was 4.1 percent higher than the previous quarter and nearly three times the £1.59 billion raised in the same period a year earlier, representing a 186.8 percent year-on-year increase.

The quarter was the strongest on record by amount raised, surpassing the previous peak of £4.38 billion set in the first quarter of 2026. The figures, compiled by a UK-focused research firm, show that AI fundraising has not only recovered from earlier cyclical weakness but has accelerated sharply over two consecutive quarters.

Across all sectors, the research firm tracked 1,070 equity deals in the second quarter, worth £8.01 billion in total. AI companies accounted for about one in four of those deals, with 269 rounds, and captured 57 percent of all invested capital. The totals are expected to rise further as additional unannounced deals are identified in regulatory filings.

Key Facts at a Glance

• UK AI companies raised £4.56 billion in the second quarter of 2026.
• Funding rose 4.1 percent quarter on quarter and 186.8 percent year on year.
• The quarter surpassed the previous record of £4.38 billion in Q1 2026.
• AI accounted for 269 equity deals, around one in four tracked rounds.
• AI companies took 57 percent of total invested capital across all sectors.
• Eight AI equity raises accounted for 80 percent of total UK AI investment.
• Life sciences and health attracted the most investment by value.
• Isomorphic Labs’ £1.47 billion fundraise was the largest deal of the quarter.

A Landmark Quarter for UK AI

The scale of the second-quarter total has been described as a landmark for UK AI investment, not only because of the headline number but also because of the breadth of companies attracting capital. Investment is flowing across life sciences, AI infrastructure, financial services, advanced engineering and enterprise software, suggesting that AI is being commercialised across a wide range of industries rather than being confined to a narrow group of pure-play software companies.

That breadth matters for the UK’s position in the global AI economy. The country has long been a strong base for research in machine learning, computer vision, natural language processing and related fields, with clusters in London, Cambridge, Oxford and other cities. The latest figures suggest that this research base is increasingly being matched by capital formation at scale, with investors willing to fund companies that apply AI to drug discovery, data centre operations, industrial design, chip development and financial services.

The second quarter also showed that deal growth has accelerated over the past two quarters. That trend has prompted interest in what the remainder of the year will bring, particularly as global investors continue to allocate capital to AI infrastructure and applications. The UK’s ability to attract large rounds from domestic and international investors will be an important test of whether the current momentum can be sustained.

Deal Volume and Capital Concentration

While the number of AI deals was substantial, the quarter was also notable for how concentrated the capital was. About 80 percent of the total invested into UK AI companies was raised by just eight equity rounds. That concentration reflects a broader feature of the AI market: investors are willing to write very large cheques for companies with strong technical differentiation, large addressable markets and the potential to become category leaders.

The largest single deal was a £1.47 billion fundraise by life sciences start-up Isomorphic Labs. The company uses AI for drug discovery and has become one of the most closely watched names in the UK’s life sciences and AI crossover. Other significant deals in the quarter came from Ineffable Intelligence, data centre company NScale, engineering and AI company PhysicsX, and chip start-up Fractile.

The presence of a data centre business, a chip start-up and an advanced engineering company among the largest raises highlights the growing importance of infrastructure and hardware in the AI investment cycle. AI models require massive computing power, specialised chips and energy-intensive data centres, and investors are increasingly funding the physical and computational layers that support the software ecosystem.

Life Sciences and Health Lead by Value

Life sciences and health attracted the most investment by value during the quarter, underscoring how AI is reshaping drug discovery, clinical research and healthcare delivery. The £1.47 billion raised by Isomorphic Labs alone accounted for a large share of the quarter’s total, but the sector’s appeal extends beyond a single company. Investors are looking at AI-enabled platforms that can shorten development timelines, improve trial design and identify new therapeutic targets.

The UK has a strong life sciences base, including academic research institutions, hospital networks, biotech clusters and a growing ecosystem of AI-native drug discovery companies. That combination makes the country an attractive location for investors seeking exposure to both AI and healthcare innovation. The latest funding figures suggest that this crossover is becoming one of the most important sources of large-scale venture capital activity in the UK.

At the same time, the concentration of value in life sciences means that the headline AI investment number is not evenly distributed across the sector. Enterprise software, financial services and advanced engineering also attracted significant capital, but the largest cheques were written in health-related AI. That pattern may continue as investors prioritise applications with high barriers to entry, long-term revenue potential and clear scientific validation.

Infrastructure and Advanced Engineering Draw Capital

The second quarter also highlighted the growing role of AI infrastructure. Data centre company NScale was among the largest fundraisers, reflecting demand for computing capacity as AI models grow in size and complexity. The AI boom has created a need for specialised data centres, high-performance networking, cooling systems and energy management, and investors are funding companies that can supply these capabilities.

Chip start-up Fractile represents another part of the infrastructure story. Advanced semiconductors are essential for training and running AI models, and startups developing specialised chips or novel architectures can attract large amounts of capital if they demonstrate technical progress. The UK has a strong history in semiconductor design, and the latest funding round suggests that investors see opportunities in the country’s chip ecosystem.

PhysicsX, which operates at the intersection of AI and advanced engineering, illustrates how AI is being applied to complex physical systems. The company’s work spans engineering simulation and design optimisation, areas where AI can reduce costs and accelerate development cycles. Deals like this show that AI investment is not limited to consumer apps or enterprise software; it is increasingly directed toward industrial and scientific applications with long development horizons.

Why the UK AI Market Is Accelerating

Several factors help explain the acceleration in UK AI investment. First, the global AI boom has created a large pool of capital seeking exposure to the sector. International investors, including venture capital firms, sovereign wealth funds and corporate investors, are looking for opportunities outside the United States, and the UK is one of the most developed AI markets in Europe.

Second, the UK has a deep research base and a strong talent pipeline. Universities and research institutions produce a steady stream of AI researchers, engineers and founders, and the country’s startup ecosystem has become more experienced at scaling companies from early-stage research to commercial products. That combination makes it easier for investors to justify large rounds.

Third, the UK’s legal, financial and regulatory environment is generally supportive of technology investment. While AI regulation is still evolving, the country has a well-established framework for company formation, intellectual property protection and venture financing. For investors deploying large amounts of capital, these factors reduce friction and increase confidence.

Fourth, the AI investment cycle has moved beyond pure software. The largest rounds are increasingly linked to infrastructure, life sciences, chips and advanced engineering. These sectors require more capital and have longer development timelines, but they also offer the potential for significant returns if companies succeed. The shift toward capital-intensive AI businesses helps explain why the headline investment total has risen so sharply.

Investor Appetite and Concentration Risks

The record quarter demonstrates strong investor appetite for UK AI companies, but the concentration of capital in a small number of deals also raises questions about the breadth of the market. With eight rounds accounting for 80 percent of total AI investment, the headline figure is heavily influenced by a handful of large transactions. If one or two of those deals had been delayed or priced differently, the quarterly total would have looked very different.

That concentration is not necessarily a weakness. Large rounds can help companies scale quickly, attract talent and build infrastructure that would be difficult to fund through smaller raises. But it does mean that the health of the UK AI investment market cannot be judged by the headline number alone. Policymakers and investors will need to track deal volume, the number of active investors and the performance of smaller companies to understand whether the ecosystem is broadening.

The quarter’s 269 AI rounds suggest that activity is not limited to a handful of mega-deals. A large number of companies are raising capital across different stages and subsectors. That breadth is important for the long-term resilience of the UK AI sector, because it creates a pipeline of companies that can grow into future large-scale fundraisers.

What to Watch in the Coming Quarters

The coming quarters will show whether the second-quarter record is a peak or part of a sustained upward trend. Several indicators will be important. The first is whether large rounds continue to be announced in life sciences, infrastructure and advanced engineering. The second is whether more international investors commit capital to UK AI companies, particularly at later stages. The third is whether the number of smaller AI deals continues to grow, which would indicate a healthier and more diversified ecosystem.

The fourth indicator is the performance of companies that raised capital in the second quarter. Investors will be watching for product milestones, commercial traction, partnerships and regulatory approvals. In life sciences, clinical progress will be closely tracked. In infrastructure, data centre capacity and customer contracts will matter. In chips and advanced engineering, technical validation and design wins will be key.

The UK AI investment market has clearly entered a new phase. The £4.56 billion raised in the second quarter is nearly three times the amount raised a year earlier and surpasses the previous record by a meaningful margin. The breadth of sectors attracting capital, from drug discovery to data centres and semiconductors, suggests that AI is becoming embedded in the wider economy rather than remaining a niche technology theme. The next set of funding figures will reveal whether that momentum can hold.

Source: Silicon UK News

HSG, ZhenFund, Tencent and other early Manus investors are participating in the buyback, with HSG and ZhenFund considering using fresh capital to fund their share, the reports said. Early investor Benchmark is reportedly not taking part.

Key facts

• Manus early backers are preparing a $2 billion buyback from Meta.
• China ordered Meta in April to unwind the acquisition.
• HSG, ZhenFund, Tencent and other early investors are participating; Benchmark is not.
• HSG and ZhenFund are considering fresh capital for the buyback.
• Manus annualised revenue run rate has risen from $100m at the time of the December deal to between $400m and $500m.
• Manus is considering a China-incorporated joint venture structure that could lead to a Hong Kong listing.
• Meta has completed operational separation from Manus and halted data-sharing.
• Meta had planned to use Manus-like technology in an internal AI initiative aimed at replacing human workers.
• Emily Dalton Smith, a key executive involved in applying Manus-like technology to Meta internal AI agents, reportedly plans to leave.

The reported buyback talks underline how quickly the commercial outlook for Manus has changed since the December transaction. At the time of the deal, the company’s annualised revenue run rate was about $100 million. It has since risen to between $400 million and $500 million, according to the reports, a four- to five-fold increase that makes the original $2 billion price look different in hindsight.

Manus is not a conventional consumer app. It has positioned itself in the emerging market for AI agents, software systems that can carry out multi-step tasks with limited human supervision. That category has attracted intense interest from venture investors and large technology companies because it promises to move AI from chat-based assistance toward automated work. For Meta, the appeal of Manus-like technology was reportedly tied to an internal initiative to use AI to replace human workers, a sensitive area for any large employer.

A reversal after regulatory pressure

The original acquisition had already become a test case for how cross-border technology deals involving Chinese founders are handled. Manus was founded in China and is based in Singapore, a structure common among start-ups seeking global customers while retaining engineering and product links to China. The arrangement can create regulatory complexity when a US acquirer becomes involved, particularly in AI, data handling and advanced software.

The Chinese government ordered Meta in April to unwind the acquisition, according to the reports. The decision placed the transaction in a small group of cross-border tech deals that have been forced into reverse after completion. It also left investors and employees facing questions about governance, ownership and future fundraising. A buyback at the original $2 billion price would provide a clean exit for Meta while returning the asset to investors who already know the business.

The participation of HSG, ZhenFund and Tencent is significant. All three have deep experience in Chinese technology and early-stage company building. HSG and ZhenFund are reportedly weighing fresh capital, suggesting that the buyback is not simply a paper reshuffle of existing holdings but may require new money. Tencent’s involvement adds another layer because the company is both a major investor and a strategic player in AI and cloud services.

Benchmark’s reported absence from the buyback is notable because early venture investors often seek to maintain exposure to fast-growing companies. Its decision not to participate could reflect portfolio strategy, liquidity considerations or uncertainty about the company’s next structure. The reports did not provide a reason.

Revenue growth changes the calculus

The most striking detail in the reports is the pace of Manus’s revenue growth. Moving from a $100 million annualised run rate to $400 million or $500 million in a matter of months would place the company among the faster-growing enterprise AI businesses. Annualised run rate is not the same as audited annual revenue, but it is closely watched by investors as a signal of demand.

For the backers considering a buyback, the higher run rate changes the investment case. At $2 billion, the original price would represent roughly four to five times the midpoint of the current run rate, compared with about 20 times the run rate at the time of the December deal. That arithmetic helps explain why early investors may be willing to use fresh capital. It also explains why Meta might prefer a clean separation rather than a prolonged dispute.

The revenue growth does not remove all risks. AI agent companies face questions about gross margins, computing costs, customer retention and competition from larger model providers. Enterprise customers may test multiple vendors before committing to long-term contracts. Revenue run rates can also be volatile when they are based on recent monthly performance rather than contracted annual subscriptions.

Hong Kong listing option

Manus is considering changing its structure to become a joint venture incorporated in China, according to the reports, a move that could lead to a Hong Kong market listing. Such a structure would represent a significant shift for a company that has operated with a Singapore base and global ambitions. It would also align the company more closely with the Chinese regulatory system at a time when Beijing is both promoting domestic AI champions and tightening oversight of cross-border data and technology flows.

Hong Kong has become a more active venue for Chinese AI and technology listings. Zhipu and MiniMax have found success in recent months with Hong Kong listings, according to the reports, providing a template for other AI companies seeking public capital. A Hong Kong listing could give Manus access to investors who understand Chinese technology companies, while also offering an international market that is familiar to global funds.

The joint venture idea may be designed to address several issues at once. It could clarify control and ownership after the unwinding of the Meta deal. It could create a structure that satisfies Chinese regulators. And it could create a path to public markets without requiring the company to abandon its international customer base. The details remain unclear, including which assets would sit inside the joint venture and how existing investors would be treated.

Meta separation and internal AI plans

Meta has completed operational separation from Manus and has halted data-sharing with the start-up, according to reports. The separation is a necessary step after an acquisition is ordered unwound. It can involve disentangling products, systems, employee access and commercial agreements. For Manus, the priority is to ensure continuity for customers and to reassure them that their data is not caught up in the ownership change.

Meta had reportedly been planning to use Manus-like technology in an internal initiative to use AI to replace human workers. That plan reflects a broader surge of interest among large companies in AI agents that can perform routine knowledge work. It also raises labour and reputational questions. Companies are under pressure to show that AI is improving productivity, but they face scrutiny when the technology is explicitly linked to job cuts.

Emily Dalton Smith, a key executive involved with applying the Manus-like technology to Meta’s internal AI agents, reportedly said in an internal memo to staff earlier this week that she planned to leave the company. Her departure adds to the sense of transition around the project. It also suggests that Meta’s internal AI agent work may be reorganised after the unwinding of the Manus deal.

The reports did not specify a timetable for the buyback or say whether the $2 billion price would be adjusted for Manus’s revenue growth. They also did not detail how a China-incorporated joint venture would affect existing customers or investors.

Source: Silicon UK News

A UK-based organization has released a comprehensive privacy notice that sets out in detail how it collects, uses, stores, and shares personal data. The notice, last updated on 04 February 2024, is designed to give individuals clear information about their privacy rights and the legal protections that apply when they interact with the organization's website, products, and services. It is presented in a layered format, allowing readers to navigate to specific sections, and it includes a glossary of key terms. The document emphasizes that it supplements other privacy notices rather than overriding them, and it encourages individuals to read it alongside any specific fair processing notices provided on particular occasions.

Who Controls Your Data

The notice identifies the organization as the controller responsible for personal data. A data protection officer has been appointed to oversee questions relating to the privacy notice, including requests to exercise legal rights. Individuals with questions are directed to contact the data protection officer using the details provided in the notice. The document also explains that individuals have the right to make a complaint at any time to the Information Commissioner's Office, the UK supervisory authority for data protection issues, although the organization requests the chance to address concerns first.

Categories of Personal Data Collected

The privacy notice groups personal data into several categories. Identity Data includes first name, maiden name, last name, username or similar identifier, marital status, title, date of birth, and gender. Contact Data includes billing address, delivery address, email address, and telephone numbers. Financial Data includes bank account and payment card details. Transaction Data includes details about payments to and from the individual and other details of products and services purchased. Technical Data includes internet protocol address, login data, browser type and version, time zone setting and location, browser plug-in types and versions, operating system and platform, and other technology on the devices used to access the website. Profile Data includes username and password, purchases or orders, interests, preferences, feedback, and survey responses. Usage Data includes information about how the website, products, and services are used. Marketing and Communications Data includes preferences in receiving marketing from the organization and third parties, and communication preferences.

The notice also states that aggregated data, such as statistical or demographic data, may be collected, used, and shared for any purpose. Aggregated data may be derived from personal data but is not considered personal data in law if it does not directly or indirectly reveal identity. However, if aggregated data is combined with personal data so that it can directly or indirectly identify an individual, it is treated as personal data. The organization does not collect any special categories of personal data, such as details about race or ethnicity, religious or philosophical beliefs, sex life, sexual orientation, political opinions, trade union membership, health, genetic, or biometric data. It also does not collect information about criminal convictions and offences.

How Personal Data Is Collected

Personal data is collected through different methods. Direct interactions occur when individuals provide Identity, Contact, and Financial Data by filling in forms or corresponding by post, phone, email, or otherwise. This includes data provided when applying for products or services, creating an account, subscribing to a service or publications, requesting marketing, entering a competition, promotion, or survey, or giving feedback. Automated technologies or interactions may collect Technical Data about equipment, browsing actions, and patterns. This is done using cookies, server logs, and other similar technologies. The notice notes that Technical Data may also be received from other websites that employ the organization's cookies. Third parties or publicly available sources may provide personal data, including Technical Data from analytics providers and advertising networks.

Lawful Bases for Processing

The organization will only use personal data when the law allows it. Most commonly, processing occurs where it is necessary to perform a contract, where it is necessary for legitimate interests and individual rights do not override those interests, or where it is necessary to comply with a legal or regulatory obligation. Generally, the organization does not rely on consent as a legal basis for processing personal data, except in relation to sending third-party direct marketing communications via email or text message. Individuals have the right to withdraw consent to marketing at any time by contacting the organization.

Purposes of Processing

The notice provides a detailed table describing how personal data will be used and the lawful basis for each purpose. Purposes include registering new customers, processing and delivering orders, managing payments, fees, and charges, collecting and recovering money owed, managing the relationship with customers, notifying about changes to terms or privacy policy, asking for reviews or surveys, enabling participation in prize draws, competitions, or surveys, administering and protecting the business and website, delivering relevant website content and advertisements, using data analytics to improve the website and services, and making suggestions and recommendations about goods or services that may be of interest. The table identifies the types of data used for each purpose and the lawful basis, including performance of a contract, legitimate interests, and compliance with legal obligations.

Marketing and Cookies

The notice explains that the organization strives to provide choices regarding certain personal data uses, particularly around marketing and advertising. A member area is available where individuals can view and make decisions about their personal data use. Promotional offers may be sent based on Identity, Contact, Technical, Usage, and Profile Data to form a view on what may be relevant. Individuals will receive marketing communications if they have requested information, purchased goods or services, or provided details when entering a competition or registering for a promotion, and have not opted out. The organization will obtain express opt-in consent before sharing personal data with any company outside its group for marketing purposes. Individuals can ask the organization or third parties to stop sending marketing messages at any time by logging into the website and adjusting preferences, following opt-out links, or contacting the organization. Opting out of marketing will not apply to personal data provided as a result of a product or service purchase, warranty registration, product or service experience, or other transactions.

Regarding cookies, individuals can set their browser to refuse all or some browser cookies, or to alert them when websites set or access cookies. If cookies are disabled or refused, some parts of the website may become inaccessible or not function properly. The notice directs readers to a cookie policy for more information.

Disclosures of Personal Data

The organization may share personal data with internal third parties and external third parties as set out in the glossary. It may also share personal data with third parties to whom it may choose to sell, transfer, or merge parts of its business or assets. Alternatively, it may seek to acquire other businesses or merge with them. If a change happens to the business, the new owners may use personal data in the same way as set out in the privacy notice. The organization requires all third parties to respect the security of personal data and to treat it in accordance with the law. Third-party service providers are not allowed to use personal data for their own purposes and are only permitted to process it for specified purposes and in accordance with instructions.

International Transfers

The notice states that personal data is not transferred outside the European Economic Area. However, it also lists safeguards that would apply if such transfers were necessary, including transferring to countries deemed to provide an adequate level of protection by the European Commission, using specific contracts approved by the European Commission, and relying on the Privacy Shield for providers based in the United States. Individuals can contact the organization for further information on specific mechanisms used when transferring personal data out of the EEA.

Data Security and Retention

Appropriate security measures have been put in place to prevent personal data from being accidentally lost, used, or accessed in an unauthorised way, altered, or disclosed. Access to personal data is limited to employees, agents, contractors, and other third parties who have a business need to know. They process personal data only on instructions and are subject to a duty of confidentiality. Procedures are in place to deal with any suspected personal data breach, and individuals and any applicable regulator will be notified of a breach where legally required. By law, basic information about customers, including Contact, Identity, Financial, and Transaction Data, must be kept for six years after they cease being customers for tax purposes. In some circumstances, individuals can ask for data to be deleted. In other circumstances, personal data may be anonymised for research or statistical purposes and used indefinitely without further notice.

Your Legal Rights

Under certain circumstances, individuals have rights under data protection laws in relation to their personal data. These include the right to request access to personal data, request correction, request erasure, object to processing, request restriction of processing, request transfer of personal data, and withdraw consent at any time where consent is relied upon. Individuals who wish to exercise any of these rights should contact the organization. No fee is usually required, although a reasonable fee may be charged if a request is clearly unfounded, repetitive, or excessive, or the organization may refuse to comply in such circumstances. The organization may need to request specific information to confirm identity and ensure the right to access personal data or exercise other rights. This is a security measure to ensure personal data is not disclosed to any person who has no right to receive it. The organization tries to respond to all legitimate requests within one month, but it may take longer if a request is particularly complex or if multiple requests are made. In such cases, the individual will be notified and kept updated.

Glossary of Key Terms

The notice includes a glossary explaining lawful bases. Legitimate Interest means the interest of the business in conducting and managing its business to enable the best service, product, and most secure experience. The organization considers and balances any potential impact on individuals and their rights before processing personal data for legitimate interests. It does not use personal data for activities where its interests are overridden by the impact on the individual unless it has consent or is otherwise required or permitted by law. Performance of Contract means processing data where it is necessary for the performance of a contract to which the individual is a party or to take steps at the request of the individual before entering into such a contract. Comply with a legal or regulatory obligation means processing personal data where it is necessary for compliance with a legal or regulatory obligation. Internal third parties include other companies in the group acting as joint controllers or processors and based in the UK or EU, providing IT and system administration services and undertaking leadership reporting. External third parties include service providers acting as processors based in the UK or EU who provide IT and system administration services, professional advisers including lawyers, bankers, auditors, and insurers based in the UK or EU who provide consultancy, banking, legal, insurance, and accounting services, and HM Revenue & Customs, regulators, and other authorities based in the United Kingdom who require reporting of processing activities in certain circumstances.

Exercising Your Rights

The notice details specific rights. Request access enables individuals to receive a copy of the personal data held and to check that it is lawfully processed. Request correction enables individuals to have incomplete or inaccurate data corrected, though verification of the accuracy of new data may be needed. Request erasure enables individuals to ask for deletion or removal of personal data where there is no good reason for continued processing. This right also applies where the individual has successfully exercised the right to object to processing, where information may have been processed unlawfully, or where erasure is required to comply with local law. However, the organization may not always be able to comply with a request for erasure for specific legal reasons, which will be notified at the time of the request. Object to processing applies where the organization relies on a legitimate interest or those of a third party and there is something about the particular situation that makes the individual want to object because it impacts on fundamental rights and freedoms. Individuals also have the right to object where personal data is processed for direct marketing purposes. In some cases, the organization may demonstrate compelling legitimate grounds to process information which override the individual's rights and freedoms. Request restriction of processing enables individuals to ask the organization to suspend processing in specific scenarios: if the accuracy of the data is in question, if the use is unlawful but erasure is not wanted, if the data is needed to establish, exercise, or defend legal claims even though the organization no longer requires it, or if an objection to use has been made but verification of overriding legitimate grounds is needed. Request the transfer of personal data to the individual or a third party requires the organization to provide personal data in a structured, commonly used, machine-readable format. This right only applies to automated information initially provided with consent or used to perform a contract. Withdraw consent at any time applies where consent is relied upon to process personal data. Withdrawal does not affect the lawfulness of processing carried out before consent was withdrawn. If consent is withdrawn, the organization may not be able to provide certain products or services, and the individual will be advised if this is the case at the time of withdrawal.

The document was last updated on 04 February 2024.

Source: UKTN News

Key Facts at a Glance

• The Cookie Policy was last updated on 04/06/2025 and applies to UK citizens and legal permanent residents.
• The website uses cookies and related technologies; third parties also place cookies.
• Cookies are small files stored by the browser; scripts are program code; web beacons are invisible elements used to monitor traffic.
• Cookie categories include technical or functional cookies, statistics cookies, advertising cookies, marketing/tracking cookies, and social media cookies.
• Functional cookies may be placed without consent; statistics, advertising, and marketing/tracking cookies require consent.
• Social media content from Facebook, LinkedIn, and X (formerly Twitter) is embedded, and these companies are located in the United States.
• The policy lists numerous placed cookies from vendors such as Google various services, CloudFlare, Criteo, Google Analytics, PHP, Complianz, One Signal, Google reCAPTCHA, WordPress, Stripe, HubSpot, Hotjar, Facebook, Google Fonts, Twitter, LinkedIn, Google Ads Optimization, Google Ads, Snowplow, Elementor, and miscellaneous unidentified cookies.
• Users are shown a pop-up on their first visit and can save preferences; consent can be managed later, though JavaScript-disabled AMP pages use a manage consent button.
• The policy references a TCF vendor list when JavaScript is enabled, and it describes consent and legitimate interest options for statistics and marketing purposes.
• Users can enable, disable, or delete cookies through their internet browser, but the website may not work properly if all cookies are disabled.
• User rights include access, rectification, erasure, revocation of consent, data portability, and the right to object; complaints can be made to the Information Commissioner's Office (ICO).
• The policy includes contact details for data protection inquiries and states it was synchronised with an external cookie database on 05/08/2026.

Background: Why Cookie Policies Matter in the UK

Cookie policies are a key part of compliance with the UK General Data Protection Regulation (UK GDPR) and the Privacy and Electronic Communications Regulations (PECR). PECR implements the ePrivacy Directive in the UK and sets specific rules for storing information on a user's device, including cookies. Under PECR, organisations must obtain consent before placing non-essential cookies, unless the cookie is strictly necessary for a service requested by the user. The UK GDPR adds further requirements for lawful processing, transparency, and individual rights. The Information Commissioner's Office (ICO) is the supervisory authority responsible for enforcing these rules.

The updated policy reflects the typical structure of a modern consent management framework. It distinguishes between functional cookies, which do not require consent because they are necessary for the website to operate, and statistics, advertising, and marketing/tracking cookies, which require affirmative consent. This distinction is important because regulators have increasingly focused on cookie banners that do not offer a genuine choice, that use pre-ticked boxes, or that make it harder to reject cookies than to accept them. The policy describes a pop-up where users click 'Save preferences' to consent to selected categories, which suggests a granular consent mechanism.

What Are Cookies, Scripts, and Web Beacons?

The policy explains that a cookie is a small simple file sent along with pages of the website and stored by the browser on a computer or other device. The information stored in the cookie may be returned to the website's servers or to third-party servers during a subsequent visit. Scripts are pieces of program code used to make the website function properly and interactively; this code is executed on the server or on the user's device. A web beacon, also called a pixel tag, is a small, invisible piece of text or image on a website used to monitor traffic. Various data about the user is stored using web beacons. These definitions are standard, but they matter because they cover not only cookies but also other local storage and tracking technologies.

Categories of Cookies Used

Technical or Functional Cookies

Functional cookies ensure that certain parts of the website work properly and that user preferences remain known. The policy states that these cookies make it easier to visit the website, so users do not need to repeatedly enter the same information, and items can remain in a shopping cart until payment. Functional cookies may be placed without consent because they are necessary for the service. Examples in the policy include cookies from WordPress, Stripe, CloudFlare, PHP, Complianz, and Google reCAPTCHA. These cookies support logins, payment fraud prevention, content distribution, cookie consent management, and spam protection.

Statistics Cookies

Statistics cookies are used to optimise the website experience for users. They provide insights into how the website is used. The policy states that permission is requested to place statistics cookies. Vendors include Google Analytics, HubSpot, Hotjar, Snowplow, Elementor, and others. These cookies may collect data such as pageviews, unique user IDs, session IDs, and anonymised statistics. For example, Google Analytics cookies store and count pageviews, while Hotjar provides heat maps and screen recordings. Statistics cookies help publishers understand which content is popular, how users navigate, and where improvements are needed.

Advertising Cookies

Advertising cookies enable personalised advertisements and provide insights into campaign results. The policy explains that this happens based on a profile created from clicks and surfing on and outside the website. A unique ID links the website visitor to a profile, so the same ad is not shown more than once. Because these cookies are marked as tracking cookies, permission is requested. Advertising cookies may be placed by Criteo, Google Ads, Google Ads Optimization, Facebook, LinkedIn, and others. They support remarketing, ad delivery, retargeting, and campaign measurement.

Marketing/Tracking Cookies

Marketing or tracking cookies are cookies or any other form of local storage used to create user profiles to display advertising or to track the user on this website or across several websites for similar marketing purposes. These cookies are subject to consent. The policy lists marketing cookies from many providers, including Google various services, Criteo, One Signal, HubSpot, Facebook, Twitter, LinkedIn, and Google Fonts. Some cookies, such as those from Facebook, store and track visits across websites, store last visit, store account details, provide ad delivery, and prevent fraud. Others, such as One Signal, support push notifications and store whether a user has opted out.

Social Media

The website includes content from Facebook, LinkedIn, and X (formerly Twitter) to promote web pages, such as like or share buttons, or to share content on social networks. This content is embedded with code derived from those companies and places cookies. The policy notes that this content might store and process certain information for personalised advertising. Facebook, LinkedIn, and X are located in the United States, which means data may be transferred outside the UK. International transfers are a significant compliance issue under UK GDPR, and organisations must ensure appropriate safeguards are in place.

Placed Cookies and Vendors

The policy provides a detailed inventory of placed cookies. It groups them by vendor and category. For example, Google various services includes a functional cookie called google_auto_fc_cmp_setting, which stores cookie consent preferences, and a marketing cookie called __gpi. CloudFlare includes functional cookies such as mirage_cache_manifest and __cf_bm, the latter used to read and filter requests from bots. Criteo includes a marketing cookie called cto_bundle, which provides functions across pages, and several cookies pending investigation. Google Analytics includes statistics cookies such as _ga_, _gid, _ga, and _gat_gtag_UA_, which store and count pageviews or store a unique user ID. PHP includes a functional cookie called exp, which provides functions across pages. Complianz includes numerous functional cookies, such as cmplz_tcf_consent, cmplz_ac_string, cmplz_cookie_data, cmplz_user_data, cmplz_id, cmplz_consented_services, cmplz_functional, cmplz_saved_services, cmplz_policy_id, cmplz_marketing, cmplz_preferences, cmplz_banner-status, cmplz_saved_categories, and cmplz_stat

Source: UKTN News

Evaluating the Gurgaon Property Market 2026 reveals a dynamic, structurally sound landscape that has transitioned from speculative expansion into an institutional-grade, user-driven real estate ecosystem. Over the past decade, Gurugram (formerly Gurgaon) has fortified its standing as North India's financial, technology, and luxury living epicenter. As capital inflows from domestic end-users, high-net-worth individuals (HNWIs), and Non-Resident Indians (NRIs) reach record highs, analyzing current price valuations, growth corridors, and supply-demand metrics becomes essential for making informed investment decisions. Premium residential developments, such as an Ireo New Project, exemplify how integrated township design, high-end amenities, and transit connectivity shape property appreciation and yield stability across the region.

The city's real estate trajectory in 2026 is governed by a fundamental re-rating of capital values across primary micro-markets. High-speed multi-lane expressways, expanding metro rail lines, and massive commercial hubs have integrated peripheral sectors into core economic zones. Whether you are a corporate executive aiming to reduce commute times to Cyber City, a long-term investor seeking above-average rental returns, or a family seeking luxury gated living, understanding the underlying drivers of price movements and regulatory protections is vital.

This detailed report delivers a comprehensive analysis of current property price points, micro-market trends, legal and statutory due diligence workflows, financial metrics, and strategic future predictions for the Gurugram property sector this year.

Gurgaon Property Market 2026: Comprehensive Price & Trend Analysis

The real estate sector across Gurugram is experiencing a multi-year growth cycle driven by strong end-user demand, corporate job expansion, and major infrastructure completions.

Key Micro-Market Performance & Price Trends Golf Course Extension Road: Upper-Mid & Luxury Anchor

Golf Course Extension Road continues to serve as one of the most lucrative and high-demand residential corridors in North India. Extending from Golf Course Road towards Sohna Road, this belt has matured into a self-sustaining luxury ecosystem. Signal-free vehicular underpasses and seamless connections to NH-48 ensure rapid transit to commercial office districts and Indira Gandhi International (IGI) Airport.

The corridor's residential market is anchored by master-planned gated communities featuring low-density floor layouts and wide sector dividing roads. High-end integrated developments like Ireo The Corridors highlight how modern township planning incorporates expansive private sports amenities, multi-tier security systems, and private social clubs. Located in prime residential sectors, properties in Ireo Corridors Sector 67A Gurgaon benefit from direct access to top-tier international schools, private hospitals, and commercial retail centers, driving sustained corporate tenant demand and capital growth.

Dwarka Expressway (NPR): High-Yield Capital Growth Hub

The full operationalization of the 29-kilometer, 8-lane elevated Dwarka Expressway (Northern Peripheral Road) has restructured property valuations across western Gurugram. Connecting West Delhi to NH-48 at Kherki Daula, this signal-free corridor enables residents in Sectors 102, 106, 109, and 113 to reach IGI Airport Terminal 3 within 15 to 20 minutes.

This transit improvement has sparked high capital appreciation across adjacent residential sectors. Proximity to the Yashobhoomi (IICC) Convention Center and Diplomatic Enclave II drives steady demand for luxury serviced apartments, high-rise condominiums, and commercial retail investments, making it a primary target for institutional funds and yield-focused buyers.

Southern Peripheral Road (SPR): The Strategic Transit Axis

Southern Peripheral Road acts as a crucial link connecting Golf Course Extension Road, NH-48, and the Dwarka Expressway. Anchored by the multi-level Kherki Daula cloverleaf interchange, SPR offers signal-free transit across major business districts. Road widening, elevated flyovers, and proposed metro connections have resolved historical transit bottlenecks, elevating the area's livability score.

Developers along SPR are introducing large-scale mixed-use projects combining Grade-A office parks with luxury high-rise residential towers. Direct connectivity to Cyber City via the Rapid Metro network and immediate proximity to Sohna Road's commercial zone position SPR as a stable, high-growth micro-market.

New Gurgaon (Sectors 81–95): Accessible Entry Gateway

New Gurgaon, comprising Sectors 81 through 95, remains an accessible entry point for home buyers while delivering solid growth metrics. Positioned strategically between NH-48 and the Kundli-Manesar-Palwal (KMP) Expressway, this region appeals to first-time buyers, corporate managers, and real estate investors looking for long-term appreciation.

Rapid residential occupancy in New Gurgaon has accelerated civic and social infrastructure creation. Private schools, healthcare facilities, and local shopping complexes are fully functional, while wide sector roads ensure manageable traffic density as sector populations grow.

Golf Course Road & Cyber City: Blue-Chip Capital Preservation

Golf Course Road remains the financial peak of the regional property market. With available land almost completely developed, existing luxury properties command the highest per-square-foot prices in North India. Super-luxury condominiums here serve as wealth-preservation assets, showing exceptional resilience during economic fluctuations.

Macroeconomic Growth Drivers & Demand Catalysts

Fortune 500 Concentration & Corporate Headquarter Expansion

Gurugram hosts over 250 Fortune 500 corporate headquarters, technology centers, and Global Capability Centers (GCCs). The continuous expansion of multinational technology firms, consulting majors, and financial institutions brings high-earning corporate leaders and expatriates into the city. As commercial leasing volumes break historical records across Cyber City, Golf Course Road, and SPR, surrounding residential sectors experience strong spillover demand, driving both sales prices and rental yields upward.

Rising Purchasing Power & Luxury Preference

The income demographic of home buyers across NCR has shifted noticeably toward luxury and upper-mid segment inventory. Higher disposable income, stock market wealth creation, and strong corporate payouts have expanded home acquisition budgets. Buyers are actively transitioning from unorganized housing or standalone floors into gated, high-density residential developments offering comprehensive security, private clubhouses, and professional property management.

Mandatory Legal & Regulatory Safeguards

HRERA Portal Verification

The Haryana Real Estate Regulatory Authority (HRERA) provides a clear legal framework that safeguards homebuyer capital. Before placing a booking deposit on any under-construction property, buyers should verify the project's unique registration details on the official state portal (haryanarera.gov.in).

When assessing new residential opportunities, such as an Ireo New Project Gurgaon, cross-reference the approved building plans, unit layouts, targeted delivery dates, and escrow account details with official HRERA filings to confirm statutory compliance.

Title Deed Search & Encumbrance Audits

Securing clear, marketable property title deeds is essential for a safe purchase. Buyers should retain an experienced real estate attorney to execute a 30-year title search. Obtain an official Encumbrance Certificate (EC) to confirm the property is free from bank liens, legal disputes, or unpaid municipal taxes. In joint development arrangements, review the registered Joint Development Agreement (JDA) executed between the landowner and developer.

Occupancy Certificate (OC) vs. Possession Letter

For ready-to-move-in homes, securing the Occupancy Certificate (OC) issued by the Department of Town and Country Planning (DTCP) is non-negotiable. An OC legalizes physical occupation by certifying that the structure complies with approved civil blueprints, structural safety norms, and municipal fire codes.

Financial Planning & Yield Analysis

Calculating Gross vs. Net Rental Yields

Evaluating a real estate purchase requires analyzing both potential capital growth and net annual rental cash flows. Investors analyze local returns using standard financial formulas:

While gross residential rental returns across top Gurugram sectors range between 3.8% and 5.2%, net yield calculations offer a realistic picture of recurring returns after subtracting operational overheads.

Total Cost of Ownership (TCO) Breakdown

The Base Selling Price (BSP) reflects only a part of the total capital required to acquire a property. Buyers evaluating homes in established communities like Ireo Corridors should create a total acquisition budget that includes all additional mandatory costs:

• External Development Charges (EDC) & Infrastructure Development Charges (IDC): Mandatory fees collected for regional infrastructure creation.
• Preferential Location Charges (PLC): Premium costs applied to corner units, park-facing apartments, or specific floor levels.
• Stamp Duty and Registration Fees: Standardized at 7% for male buyers and 5% for female buyers within municipal boundaries.
• Goods and Services Tax (GST): Applicable at 5% on under-construction non-affordable residential properties (0% for ready homes with an OC).
• Interest-Free Maintenance Security (IFMS): A reserve fund collected at possession to support long-term building maintenance.

Physical Inspection & Property Quality Audits

Building Construction & Material Inspection

When performing site inspections across under-construction or recently completed developments like Ireo Corridors, conduct a detailed physical review. Examine structural concrete execution, external wall coatings, and basement damp-proofing integrity. Check the quality of internal electrical wiring, plumbing lines, window joinery, and high-speed elevators from tier-1 manufacturers.

Neighborhood & Municipal Utilities Assessment

A site evaluation should extend beyond the perimeter of the residential complex. Test ambient noise levels during peak traffic hours, inspect stormwater drainage capacity along sector dividing roads, and verify the reliability of municipal water connections. Well-planned developments across Ireo Corridors Sector 67A benefit significantly from functional peripheral civic utilities, which directly enhances long-term livability and resale valuation.

Market Statistics & Historical Research Data

Price Value Appreciation Trends (2023 - 2026)

Data compiled from primary real estate research indexes shows sustained value appreciation across top residential corridors:

Shift in Buyer Preferences

• Spacious Floor Plans: Over 65% of active buyers specifically look for 3BHK and 4BHK apartment layouts with dedicated home office or study spaces.
• Gated Townships: Over 80% of buyers prioritize integrated gated communities featuring multi-tier security, full power backup, and wellness infrastructure.
• Transaction Volumes: HRERA-compliant under-construction projects represent nearly 60% of overall transaction volume due to flexible construction-linked payment plans (CLPs).

Future Outlook & Urban Transformation

Emerging Infrastructure Projects

The long-term economic outlook for real estate across Gurugram remains supported by upcoming public infrastructure projects:

• Gurugram Metro Rail Limited (GMRL) Loop: A 28.5-kilometer metro line connecting Millennium City Centre to Cyber City via Sector 45, Sector 72, Subhash Chowk, and Old Gurgaon.
• Global City CBD Project: A planned 1,000-acre mixed-use Central Business District in Sectors 36B and 37B designed to host global corporate headquarters and high-end residential towers.
• Delhi-Mumbai Expressway Arterial Links: Direct access routes easing regional traffic while connecting industrial corridors to urban sectors.
• Target Growth Corridors: Focus property searches on Golf Course Extension Road, Dwarka Expressway, and SPR for optimal lifestyle amenities and strong capital appreciation.
• Verify HRERA Registration: Check project approval status, construction timelines, and escrow details on the official HRERA portal before paying booking deposits.
• Insist on Occupancy Certificates: Never take physical possession or execute final handovers without an official Occupancy Certificate (OC) issued by the DTCP.
• Budget Total Acquisition Costs: Allocate an additional 12% to 18% above the Base Selling Price to cover EDC/IDC, stamp duty, GST, PLC, and registration fees.
• Choose Integrated Townships: Gated township developments provide multi-tier security, professional facility management, and long-term resale value compared to standalone plots.

Frequently Asked Questions

What is the overall trend in the Gurgaon Property Market 2026?

The Gurgaon Property Market 2026 is experiencing steady capital appreciation, strong corporate demand, and robust end-user preference for luxury gated townships in prime growth corridors like Golf Course Extension Road and Dwarka Expressway.

Why is Golf Course Extension Road considered a prime residential area?

Golf Course Extension Road offers excellent connectivity to Cyber City, planned metro extensions, established gated communities, top international schools, and multi-specialty healthcare facilities, making it ideal for families and executives.

How has the Dwarka Expressway impacted property values in western Gurugram?

The operationalization of the Dwarka Expressway has reduced travel times to IGI Airport and West Delhi, accelerating residential development and driving strong capital growth across adjacent sectors.

How can a homebuyer verify if a residential project is HRERA approved?

Homebuyers can visit the official Haryana Real Estate Regulatory Authority website (haryanarera.gov.in), search by developer name or registration number, and review approved blueprints, timelines, and escrow details.

What is the difference between an Occupancy Certificate (OC) and a Possession Letter?

An Occupancy Certificate is a legal document issued by the DTCP certifying that the building complies with safety and civil standards. A Possession Letter is issued by the developer to hand over physical keys but carries no statutory authority without an OC.

What extra charges should buyers expect beyond the Base Selling Price?

Buyers should budget an additional 12% to 18% over the Base Selling Price to cover External Development Charges (EDC), Infrastructure Development Charges (IDC), Preferential Location Charges (PLC), Stamp Duty, Registration, and GST.

What are the current stamp duty rates in Gurgaon?

Stamp duty in Gurgaon is set at 7% of the agreement value for male buyers and 5% for female buyers within municipal limits, alongside standard administrative registration fees.

Is it better to buy an under-construction or ready-to-move property in 2026?

Ready-to-move properties eliminate construction delay risks and save on 5% GST, whereas HRERA-approved under-construction properties offer lower entry pricing and flexible construction-linked payment schedules.

How does gross rental yield differ from net rental yield?

Gross rental yield measures annual rental income relative to the property acquisition price, whereas net rental yield subtracts property taxes, maintenance fees, insurance, and vacancy losses to show true net cash flow.

Final Thoughts

Navigating the Gurgaon Property Market 2026 offers strong opportunities for long-term wealth creation and elevated living. As civic infrastructure expands and corporate headquarter density grows across NCR, selecting a home in a well-connected growth corridor ensures lasting lifestyle comfort and steady capital appreciation. By prioritizing HRERA-registered developments, verifying clear land titles, securing mandatory Occupancy Certificates, and selecting established micro-markets, buyers and investors can confidently build a secure and valuable property portfolio in North India's premier city.

CHARLOTTE, N.C. — September 3, 2026 — The Broadcast Retirement Network (BRN) today is marking seven (7) years of daily, advertising-free, fact- and evidence-based programming dedicated to retirement, aging, finance, lifestyle, privacy, and wellness. 

Since its launch in 2019, BRN has aired more than 2,500 original programs, broadcasting seven days a week at 7:30 AM ET. Over that period, the network has produced more than 625 hours of programming featuring international experts sharing their expertise with the audience. 

BRN programming is made available at no cost, complete with full transcripts, and is broadly syndicated across major news sites, aggregation services, streaming platforms and podcast services—ensuring BRN’s content reaches its audience wherever media is consumed. Shorter clips are also distributed across all major social media channels every two hours, further extending the network’s reach.

BRN distinguishes itself through a straightforward editorial commitment: no sales pitches, no advertisements, and no politics—just the facts, every morning. The network also delivers a daily, hand-curated newsletter The Morning Pulse on aging, finance, lifestyle, privacy, retirement, and wellness, selected by an expert editor.

“Reaching our seventh anniversary is a testament to the trust our audience and partners have placed in us,” said Jeffrey Snyder, Chief Executive Officer and Lead Anchor of the Broadcast Retirement Network. “For seven years—drawing on my 32 years in the retirement industry, our mission has remained the same: to deliver clear, credible and useful information to the people who need it, free of any external noise.

A September-Only Anniversary Offer

To mark the occasion, BRN is offering new subscribers 20% off The Morning Pulse—its daily newsletter delivering expert-curated news on money, health, and retirement, written by a human, without the use of AI, and free of ads and sales pitches. Every subscription directly supports BRN’s daily programming. Read today’s edition here: https://us6.campaign-archive.com/?u=26e6dd4c63255e9ef5e07a4c4&id=152e013f21

Normally $4 per month, new subscribers can save 20% with code BRN20 through September 30, 2026, only. Individuals can subscribe at https://buy.stripe.com/4gw9CS5NI8cibVm7su.

Looking Ahead

BRN will unveil a new opportunity for prospective partners on September 9, 2026. Details will be shared across the network’s platforms and social media channels.

“This milestone belongs to our guests, audience and partners as much as it does to us,” Snyder added. “We are grateful for seven years of continued support—and we’re just getting started.”

About Broadcast Retirement Network

The Broadcast Retirement Network (BRN) is an independent daily program delivering fact-based news and expert insight on aging, finance, lifestyle, privacy, retirement, and wellness. Airing seven days a week at 7:30 AM ET, BRN provides advertising-free programming, complete with transcripts, syndicated at no cost across major news, streaming, and podcast platforms. BRN is led by Chief Executive Officer and Lead Anchor Jeffrey Snyder, who brings 32 years of retirement industry experience to the network’s daily coverage.

Media Contact

Jeffrey Snyder 

Chief Executive Officer / Lead Anchor 

Email: jeff@broadcastretirementnetwork.com 

YouTube: https://www.youtube.com/@BroadcastRetirementNetwork

###

• Email: jeff@broadcastretirementnetwork.com
• Website: https://www.youtube.com/@BroadcastRetirementNetwork
• Company: Broadcast Retirement Network
• Company Logo:
• Name: JEFFREY H SNYDER
• Phone No: 6464840188
• City: Charlotte
• State: NC
• Country: United States

<p>The post Broadcast Retirement Network Marks 7 Years of Daily, Fact- and Evidence-Based Programming first appeared on PR Business News Wire.</p>

A sixfold valuation leap

DeepSeek began as a model-making unit supported by High-Flyer Quant, the Chinese quantitative investment manager founded by Liang Wenfeng. In the past year, the start-up went from relative obscurity to a central figure in the global AI conversation. Its open-weight releases and efficient model designs showed that large-scale AI research could be done with less capital than many industry leaders had assumed.

The latest funding talks imply a valuation close to the $60 billion level. That is more than six times the $10 billion figure that was attached to the company just over two months ago. Such a sharp rise has attracted attention because private AI valuations are usually tied to revenue, user growth, and long-term technical advantage. DeepSeek has all three, although its revenue base is still developing.

Major investors line up

Tencent Holdings is expected to invest 10 billion yuan, making it one of the largest corporate backers in the round. NetEase and JD.com are each expected to contribute about 3 billion yuan. CATL, the world’s largest electric vehicle battery maker, is expected to invest 5 billion yuan. Several venture capital firms, including IDG Capital, Monolith, Loyal Valley Capital and Shixiang Tech, are also said to be involved.

The mix of investors shows the wide reach of DeepSeek’s technology. Tencent brings cloud, social and gaming capabilities. NetEase is focused on interactive media and AI-driven entertainment. JD.com represents e-commerce, logistics, and enterprise supply chain services. CATL adds expertise in intelligent manufacturing and EV batteries. This breadth gives DeepSeek potential distribution channels and data-rich application environments across several major industries.

Founder capital and state-backed funds

DeepSeek founder and chief executive Liang Wenfeng is expected to invest about 20 billion yuan of his own money, according to reports. That would make his personal commitment larger than any single external corporate investor in the round. The presence of founder capital is often interpreted as a confidence signal, and it may help bridge any disagreement over valuation or control.

State-backed funds are also expected to participate, though final terms have not been settled. There is still uncertainty about which investment vehicles will supply the state capital and in what form. Some Chinese technology financing rounds include state guidance funds that are designed to encourage domestic innovation in critical technologies such as semiconductors, AI, and advanced software.

The decision to raise external capital

DeepSeek had previously resisted bringing in outside investors. Because High-Flyer Quant was profitable and able to provide infrastructure funding, the start-up enjoyed unusual independence. That structure allowed researchers to focus on breakthroughs without quarterly revenue or user growth targets.

The change of approach appears to be related to talent retention. DeepSeek is reportedly seeking a well-defined market value in order to offer equity packages that can compete with other major AI companies in China. The fierce competition for experienced engineers, researchers, and technical leaders has forced model developers to be more transparent about their financial standing.

An external funding round also helps institutionalise corporate governance. A board of investors may bring operational discipline, while still allowing Liang Wenfeng to maintain a strong technical vision. For the wider market, a formal valuation increases confidence among enterprise customers and potential business partners that DeepSeek is stable enough for long-term commitments.

DeepSeek’s cost-efficient breakthrough

DeepSeek disrupted the AI world last year by releasing a series of capable models that combined strong performance with lower training and inference costs. Developers around the world were surprised by the low prices and open access that DeepSeek offered compared with some Western alternatives.

The company’s large language models and reasoning systems found particular traction among developers who wanted to experiment with advanced AI without committing to the budgets demanded by other frontier labs. DeepSeek’s engineering choices, including efficient attention mechanisms and optimised training strategies, reduced the number of GPU hours needed to reach state-of-the-art results.

V4 model and falling prices

DeepSeek has continued that price-focused strategy with newer releases. In April, after the release of its V4 model, the company said prices would drop significantly in the second half of the year. The expected price cuts are linked to the availability of Huawei’s Ascend 950PR supernodes, which are scheduled to ship at scale during that period.

These supernodes are large parallel computing clusters based on Huawei-designed AI processors. Successfully deploying them for model training and inference could lower DeepSeek’s cost base and reduce dependence on imported accelerators. The statement about lower prices is also a message to the broader market: DeepSeek plans to use hardware advances to make AI more affordable.

Domestic chipmakers optimise for DeepSeek

Chinese chipmakers including Huawei, Cambricon and MetaX are already responding to DeepSeek’s model architecture. They say they are optimising their AI processing chips for DeepSeek’s V4 model. These efforts are important for China’s goal of building an independent AI supply chain.

Domestic chip companies have faced challenges in making their software stacks compatible with the most popular open-source AI frameworks. DeepSeek’s cooperation can help close that gap. By tailoring low-level kernels and programming interfaces to DeepSeek’s workloads, Huawei and its rivals can make their hardware more attractive to Chinese AI developers.

The collaboration also gives chipmakers a concrete customer path. Instead of selling chips to corporate data centres with uncertain software support, they can point to a frontier AI company that is actively using their processors to train and serve advanced models.

Value for strategic investors

The round’s strategic importance goes beyond financial returns. For Tencent, investing in DeepSeek may accelerate the adoption of GenAI features across its WeChat, cloud and gaming operations. For NetEase, AI-generated content can lower the cost of producing interactive entertainment and improve personalised user experiences. JD.com can apply DeepSeek’s natural-language models to search, customer support, and warehouse automation, deepening its AI integration throughout the retail supply chain.

CATL’s projected investment represents the industrial side of the AI ecosystem. Battery manufacturing relies heavily on optimising complex supply chains and manufacturing processes. AI models that understand video from factory floors can improve quality control, while language models can assist in maintenance and production planning. A partnership with DeepSeek may also open up future applications in battery research.

Implications for the global AI race

DeepSeek’s rising valuation comes at a time when nations and companies are reassessing their positions in the artificial intelligence market. Export controls have made advanced Nvidia chips harder to obtain in China. DeepSeek’s ability to develop efficient models under those constraints has turned a potential weakness into a competitive narrative.

If Huawei’s Ascend platforms become reliable alternatives, Chinese AI companies will be less exposed to US-led restrictions. DeepSeek is positioned to prove that a combination of domestic chips and optimised algorithms can work at the frontier level. A successful deployment would encourage more Chinese start-ups to build on domestic hardware.

At the same time, DeepSeek’s rise intensifies competition for global model builders. The promise of lower prices and open weights will pressure Western providers to justify their pricing and architecture decisions. Enterprises may begin to benchmark popular models against DeepSeek’s performance-per-dollar ratio.

What could come next

Several details of the funding round remain unresolved. The final number of investors, the exact amount of state-backed participation, and the legal structure of the transaction are still under negotiation. But the general outline is clear: DeepSeek is moving into a new phase with external capital and a publicly recognised valuation.

The company will likely use the new resources to expand compute availability, develop its enterprise services, and hire across research and engineering functions. It may also invest in new data centres, which are critical for training next-generation models.

DeepSeek’s relationship with Huawei, Cambricon and MetaX will be watched closely. The success of those chip optimisation programmes could set the pace for the wider Chinese AI industry. For now, DeepSeek remains one of the most closely followed AI start-ups in the world, balancing technical innovation with market-building efforts and a growing roster of powerful corporate allies.

Source: Silicon UK News

The exact timing and size of the IPO have not been disclosed because the filing is confidential, allowing the company to avoid public scrutiny until it is ready to market its shares. Under U.S. securities rules, companies with revenue below a certain threshold can confidentially submit draft registration statements, a process designed to help emerging growth companies gauge investor appetite without revealing sensitive data prematurely.

An unpublished route to the public markets

Anthropic's announcement comes as market watchers expect a wave of multibillion-dollar listings. SpaceX, the aerospace company with a dominant position in American space launches, has also filed for what many expect to be a record-breaking IPO. Meanwhile, OpenAI, one of Anthropic's closest competitors, is reportedly preparing its own public offering later in 2026. The combined activity points to a climate in which investors are eager to back deep-technology companies that have moved from research projects to real revenue engines.

Confidential filings are common among high-profile startups. They allow companies to begin the SEC review process quietly and delay the release of financial statements, business models, and risk factors until just before a formal roadshow. For companies like Anthropic, whose data and security practices may receive intense regulatory scrutiny, this approach gives executives more control over the narrative.

From startup to AI contender in three years

Anthropic was founded in 2021, but its ascent has been unusually rapid even by the standards of the AI industry. The company has concentrated on building AI systems that are useful to professional users, especially programmers and large enterprises, rather than chasing a broad consumer audience. This narrower focus has allowed it to deploy its resources on what it calls Claude models, which are designed for tasks such as code generation, document analysis, and complex reasoning.

The company first gained widespread popularity with programmers last autumn, when its Claude Opus 4.5 model became widely used. Developers appreciated its ability to work through complicated coding problems, review large codebases, and produce reliable outputs. Positive word-of-mouth helped Anthropic become one of the preferred AI providers in software development circles, despite intense competition from OpenAI, Google, and other large technology companies.

More recently, Anthropic has drawn attention for claims about its upcoming Claude Mythos model. According to the company, Mythos is significantly more capable than competing tools at identifying security flaws in computer networks. Anthropic said it has worked with banks and government agencies to use the model to test and protect critical systems before its official release. The security angle is likely to be important in its IPO story, because it suggests a path to revenue that does not depend only on general consumer chatbots.

Revenue surge and the profitability question

The company's decision to go public comes at a moment when its financial trajectory is improving. Last month, the Wall Street Journal reported that Anthropic's revenue was on track to more than double in the quarter ending in June. At that pace, the company would record its first profitable quarter during that period. The milestone has been seen as validation for Anthropic's strategy of embedding its AI tools into business workflows, where customers are willing to pay for tangible productivity and security improvements.

Still, the company has reportedly warned that future quarters may not show the same financial result. Anthropic is increasing spending on the massive computing infrastructure needed to train and operate advanced AI models. Those costs are among the largest in the technology industry, and they tend to grow quickly as models become larger and more capable. For Anthropic, the path to sustainable profits may rely on achieving economies of scale and on negotiating favorable access to computing resources.

Data centre deals and AI infrastructure costs

One of Anthropic's most striking recent agreements is with SpaceX. The company has reportedly agreed to use capacity at SpaceX's Colossus 1 and Colossus 2 data centres for a reported $1.25 billion per month, or about 930 million pounds. The arrangement underscores how far the AI industry has moved in its reliance on specialized computing power. Data centres are no longer just warehouses of servers; they have become strategic assets that can determine whether an AI company can compete at the frontier of model development.

SpaceX, like Anthropic, is not currently profitable, despite its dominance in the space launch market. That has not prevented investors from valuing SpaceX highly, nor has it deterred the company from seeking a public listing. Similarly, OpenAI is understood to be not profitable. The willingness of major AI and space companies to go public without strong bottom lines is a reminder that this era of public-market investing is often driven by growth expectations and market positioning rather than current earnings.

A valuation race with OpenAI

Anthropic's most recent private funding round valued the company at $965 billion. That number puts it above OpenAI, which was most recently valued at $852 billion. The reversal is notable. OpenAI had long been considered the leader of the AI startup pack, especially after ChatGPT made generative AI a mainstream phenomenon. Yet Anthropic's steady progress with professional users, combined with a perceived focus on safety and security, has narrowed the gap and, in the eyes of some private investors, moved Anthropic ahead.

Valuations of this scale have generated debate about whether private market expectations are too high. Anthropic is still a young company with significant costs and a limited operating history. If public-market investors do not accept the price set in private funding rounds, the company could face an awkward adjustment during its roadshow. However, the surge in demand for AI tools, particularly among large enterprises, suggests that investors may be willing to look past short-term losses.

Wall Street's uneven embrace of AI

Anthropic's filing will also be tested by an important reality: while there is broad enthusiasm for AI, the technology has not yet proven itself in many everyday tasks. Industry analysts have pointed out that many foundational models and AI agents still make mistakes, require careful human supervision, and are not easily integrated into legacy systems. Gartner, a research firm, has estimated that it could take two to five years before foundational models or AI agents become broadly productive for routine business use.

That prediction has not stopped venture and public investors from pouring hundreds of billions of dollars into AI-focused companies. But it does raise concerns for a company like Anthropic, which will need to convince shareholders that it can continue expanding revenue rapidly enough to justify its huge valuation. The company's focus on security may help it win high-value contracts from governments and financial institutions, as those buyers tend to be less sensitive to price and more concerned about reliability. Government contracts also place great importance on trustworthy technology, giving Anthropic another possible avenue for durable growth.

As Anthropic moves toward Wall Street, observers will be watching a handful of key dates. The SEC review process is confidential, but details about the company's financials will become public once it files a formal prospectus. If market conditions remain strong, Anthropic, SpaceX, and possibly OpenAI could turn 2026 into a turning point for technology investing, with a new generation of infrastructure-heavy companies testing whether public investors have the same appetite for risk that private investors demonstrated. Anthropic's own journey from research startup to IPO candidate in just a few years shows how rapidly the center of gravity in technology has shifted toward artificial intelligence.

Source: Silicon UK News

Why We Are Updating the Policy

The original Privacy & Cookie Policy was written to reflect how we collect data through forms, registration processes, cookies, and third-party sources. However, legal expectations have evolved, and so have the ways users interact with digital platforms. Our update simplifies language, expands the explanation of lawful bases for processing, and makes clear how you can exercise your rights. By visiting our website, you are accepting and consenting to the practices described in this policy, so it is important that you understand them.

We are committed to protecting and respecting your privacy. This policy, together with any other documents referred to in it, sets out the basis on which any personal data we collect from you, or that you provide to us, will be processed by us. We kindly ask you to read the following carefully to comprehend our vision and practices regarding your personal data and how we will manage it.

Who Controls Your Data

For the purpose of the GDPR, the data controller is a company registered in France with its registered office at RCS Nanterre. Our nominated representative for the purposes of data protection is Ludovic Jacobs. If you have any concerns about how your information is handled, you have the right to contact our representative directly or raise a complaint with your local supervisory authority.

Information We Collect From You

The updated policy clearly separates the categories of data we collect. The first category is information you give us directly. This includes data you provide when filling in forms on our websites, interacting with the site, creating an account, subscribing to services, or corresponding with us by phone, email, or other means. It also includes information you supply when reporting a problem with the site. This information typically includes your name, address, email address, phone number, and preliminary information about your business and its location.

The second category is information we collect about you automatically during your visit. This includes technical information gathered through cookies and similar technologies. These small data files help us remember your preferences, understand how you use the site, and identify pages that may need improvement. The data collected can include your IP address, browser type, operating system, referral source, time and duration of visit, pages viewed, and navigation patterns. This information is essential for delivering a smooth and personalized browsing experience.

Information From Other Sources

We also receive information about you from other sources. If you use any of the other websites we operate, we may combine that data with the information you provide on this site. When we intend to share data internally between our group companies, we will inform you at the time of collection and explain the purpose of the sharing. In addition, we receive information from third parties, including business partners, sub-contractors in technical services, advertising networks, analytics providers, and search information providers. We will notify you when we receive information about you from these sources and how we intend to use it.

Combining data from different sources allows us to build a more complete picture of your interests and needs. This in turn helps us improve our products, tailor content, and avoid sending irrelevant marketing messages. However, we always ensure that any such combination complies with data protection law and that your rights remain protected.

How Your Information Is Used

All information about you that we collect or receive, whether personal or technical, may be used in several lawful ways. We use your data primarily to carry out our obligations arising from any contracts entered into between you and us, and to provide you with the information, products, and services that you request. This includes processing registrations, delivering content, responding to support enquiries, and managing your account.

We also use your data to notify you about changes to our services, administer the site, and conduct internal operations such as troubleshooting, data analysis, testing, research, statistical analysis, and surveys. These activities help us improve the website so that content is presented in the most effective manner for you and your device. We may measure or understand the effectiveness of advertising we serve to you and others and deliver relevant advertising that matches your interests. We also use information as part of our efforts to keep the site safe and secure, including fraud prevention and security monitoring.

Where we rely on legitimate interest as the lawful basis for processing, we carefully balance that interest against your rights and freedoms. For marketing communications sent by email, phone, or SMS, we always offer an opt-out mechanism. You can unsubscribe at any time without incurring any cost, and we will honour your request promptly. Direct marketing from our selected partners is only sent where we have a lawful basis, and we never sell your personal data to third parties.

Disclosure of Your Information

The policy also explains the circumstances in which we may share your information. We may share data with any member of our corporate group, as well as with business partners, suppliers, and sub-contractors who help us perform contracts. These parties are subject to strict confidentiality obligations and are only permitted to process your data on our documented instructions.

We may share aggregate information with advertisers and advertising networks to help them reach their intended audience. This aggregated information does not identify individuals. For example, we might tell an advertiser that five hundred users in a particular region have viewed a page, without disclosing who those users are. We may also make use of personal data we have collected from you to display advertisements to a selected target audience, but this is always done in accordance with your privacy settings and marketing preferences.

We will disclose your personal information to third parties if we sell or buy any business or assets, in which case we may provide your data to the prospective seller or buyer. If we, or substantially all of our assets, are acquired by a third party, personal data held by us about our clients will be one of the transferred assets. We will also disclose information if we are under a legal duty to do so, in order to enforce or apply our terms of use and other agreements, or to protect the rights, property, or safety of our company, our clients, or others.

Storage and Security of Your Data

All information you provide to us is stored on secure servers within the European Economic Area (EEA) for a period of ten years from the date of collection. We have chosen this retention period to comply with record-keeping obligations, to resolve any disputes, and to maintain active accounts where you have not requested deletion. We take reasonable steps to protect your information in accordance with this policy. These steps include installing a secure firewall, using anti-virus protection software, encrypting data in transit and at rest, and carrying out regular backups to prevent accidental loss.

Where we have given you, or where you have chosen, a password that enables you to access certain parts of the site, you are responsible for keeping that password confidential. We ask you not to share a password with anyone. Unfortunately, no method of transmission over the internet is completely secure. Although we will do our best to protect your personal data, we cannot guarantee the security of any data transmitted to the site, and any such transmission is at your own risk. Once we have received your information, we apply strict procedures and security features to try to prevent unauthorised access.

Your Rights Under GDPR

You have a number of rights under data protection law in respect of your personal information. The right to be informed gives you the confidence to know how your data is being used. The right of access allows you to request a copy of the information we hold about you and to verify the legality of our use. If the information we hold is inaccurate or incomplete, you have the right to request rectification without undue delay.

You also have the right to request the deletion or removal of your information where there is no longer a compelling reason for us to use it. This right is often called the right to be forgotten. You may withdraw your consent at any time where our processing is based on consent, and we must then stop processing your data unless another lawful basis applies. The right to restrict processing means you can ask us to suspend the use of your information, for example, while a complaint is being resolved.

Another important right is data portability, which allows you to obtain and reuse the information we hold about you for your own purposes across different services. You also have the right to object to certain uses of your data, such as direct marketing or processing based on legitimate interests. Finally, you have the right not to be subject to a decision that has a legal effect on you and is based solely on automated decision-making, including profiling, unless the decision is necessary for entering into or performing a contract, or you have given explicit consent.

Should you wish to exercise any of these rights, you may do so at any time by writing to the address provided in the contact section of the policy. In some cases, we are permitted to charge a small administrative fee of no more than £10 to cover our costs. If you would like to request the information we hold about you, we may ask you to send a copy of a personal identification document and provide specific details of the information you want, such as user account information. This is a security measure to ensure that personal data is not disclosed to unauthorised persons.

Cookie Policy Update

The updated Cookie Policy explains that our website uses cookies to distinguish you from other users. Cookies help provide you with a better experience when you browse our website and allow us to improve the site over time. By continuing to browse the website, you are agreeing to our use of cookies as set out in this policy.

We use analytical and performance cookies to collect information in aggregate form. These cookies help us understand how the website is being used and how effective our marketing campaigns are, and they help us customise the website to better suit user needs. Functionality cookies are used to recognise you when you return to the website. This allows us to personalise content for you, greet you by name, and remember your preferences, such as choice of language or region. Targeting cookies record your visit to the website, the pages you have visited, and the links you have followed. We may share this information with third parties in accordance with our Privacy Policy.

Third parties, including advertising networks and providers of external services such as web traffic analysis, may also use cookies over which we have no control. These cookies are likely to be analytical or performance cookies or targeting cookies. We recommend that you check the privacy policies of these external services to understand their cookie practices.

How You Can Block Cookies

You can block cookies by activating the setting in your browser that allows you to refuse the setting of all or some cookies. However, please be aware that blocking cookies may affect your ability to use the website. In particular, you may not be able to access all or parts of the website, and some functionalities such as remembering your login details or language preferences may stop working correctly. We therefore suggest that you consider which cookies are essential for your online activities before disabling all cookies. Most browsers also give you the option to delete existing cookies, clear all browsing data, and set warnings before new cookies are stored. If you are unsure how to manage cookies, consult the help section of your browser or visit the official guidance provided by your regulatory authority.

We may, from time to time, contain links to and from the websites of our partner networks, advertisers, and affiliates. If you follow a link to any of these websites, please note that they have their own privacy policies, and we do not accept any responsibility or liability for those policies. Please check those policies before you submit any personal data to those websites. The updated policy also confirms that any future changes will be posted on this page. We recommend that you check back regularly to see any updates or changes.

Source: Silicon UK News

From Factory Floor to Funny Man

Born in Senegal, Khaby Lame moved to Italy at the age of one with his family. He grew up in the working-class suburbs of Chivasso, a town northeast of Turin, in high-rise public housing estates that were far removed from the glamorous world he would later inhabit. His childhood was marked by a love of making people laugh. He was the class clown, always ready to perform for his friends, but his antics did not translate into academic success. He failed multiple grades and left school without qualifications, then drifted through a series of low-paid jobs: waiter, bricklayer, window cleaner, and finally an assembly-line worker operating a computer numerical control machine in a factory.

The COVID-19 pandemic brought his industrial career to a sudden halt. With no government rescue for the company that employed him, Khaby was laid off. Like hundreds of millions of people around the world, he found himself trapped at home with unlimited time and limited prospects. His father urged him to look for another job immediately, but Khaby had a different idea. He had long dreamed of making people laugh through videos on the internet. Before the pandemic, he had posted a few videos on YouTube with friends, but they barely attracted any views, lost in the vast ocean of online entertainment. He decided to try a different platform: TikTok.

That decision changed everything. Unlike YouTube, TikTok's algorithm offered a chance for unknown creators to be discovered overnight. Khaby's early videos were simple, rough, and unpolished. He did not have a studio, professional lighting, or a trendy aesthetic. He filmed himself in his modest apartment, often in plain clothes, with nothing but his expressive face and a natural gift for physical comedy. The formula he developed was deceptively simple: he would show a clip of a viral "life hack" in which someone made a simple task unnecessarily complicated, then reenact the scene himself and solve the problem in the most obvious way possible, all without saying a single word.

The Magic of Silence

At the heart of Khaby Lame's appeal is his wordless communication. He does not speak in his videos, relying instead on his wide eyes, his deadpan expressions, and a distinctive hand gesture: both palms turned upward, extended in a gesture that seems to say, "Are you serious?" or "Why make life so hard?" This silent language allowed him to transcend borders in a way that spoken comedy never could. A joke that relies on language is limited by translation; Khaby's humor is accessible to anyone with eyes and a sense of absurdity. He is often compared to silent film legends like Buster Keaton and Charlie Chaplin, and indeed his comic timing owes a debt to the slapstick tradition. But what makes Khaby distinctly modern is his ability to use TikTok's short-video format as a stage for this timeless style of comedy.

Take one of his most famous routines. A panicked woman finds her backpack chained to a pole with a padlock. The "life hack" expects a complicated solution, perhaps involving bolt cutters or picking the lock. Khaby walks into frame, looks at the camera with bafflement, and simply lifts the backpack off his shoulders, sliding it free from the loop—because the chain had been placed around a handle, not through anything secure. He walks away as if to say, "Is this really worth a viral video?" The humor lies not just in the simplicity but in the silent indignation of someone who cannot believe humanity needed to be taught such an obvious lesson.

Another classic clip features a portable faucet, marketed as a revolutionary device for filling a glass of water on your nightstand. Khaby, lying in bed, watches with bewilderment, then reaches for an ordinary bottle of water and pours it into a glass. No gadget, no button, no need to spend money. He rolls his eyes, shrugs, and leaves the viewer to laugh at the absurdity of modern solutionism.

Perhaps his most replicated video involves peeling a banana. Someone on the internet demonstrates a dangerous method using a kitchen knife to slice the peel. Khaby appears, slowly and deliberately, and peels the banana with his hands, shaking his head at the camera. It is so mundane that it becomes genius—a reminder that common sense is often the most underrated skill of all.

A Winning Formula for the Algorithm

Social media experts have analyzed why Khaby Lame's videos exploded so rapidly. One key factor is the way they hold the viewer's attention. TikTok's algorithm prioritizes content that keeps people on the platform for as long as possible, and Khaby's videos are engineered to create anticipation. The viewer watches the original clip first, wondering what Khaby will do in response. Will he be shocked? Angry? Indignant? That curiosity is enough to stop a scroll and watch through the entire video. Sometimes, viewers even rewatch the clip from the start to confirm the subtle details of his reaction.

The "hook" is essential in TikTok's ecosystem. A video's first two seconds must provide a reason to stay, and Khaby's reaction face—eyes opened wide, lips pursed, incredulity radiating from his expression—is one of the most effective hooks in the platform's history. Combined with his silent gesture at the end, which has become a kind of visual signature, his videos are instantly recognizable. As communications specialists point out, this repetitive yet comforting structure builds a strong brand identity. Viewers know what they are going to get, but the execution remains entertaining enough to keep them coming back.

Khaby Lame's meteoric rise also coincided with a shift in TikTok's demographics. In its early days, TikTok was widely seen as a playground for teenagers performing choreographed dances. One of those dancers, Charli D'Amelio, held the number-one position on the platform with a massive following built on trendy choreography and glossy aesthetics. Many users, particularly older ones, saw her rise as emblematic of a superficial internet culture. Khaby offered an alternative: a creator who did not dance, did not scream, did not show off a glamorous lifestyle, but simply made people laugh through intelligence and restraint.

A Symbol of Hope and Authenticity

Khaby Lame's personal story inspired many fans. He was not a child of privilege or a product of entertainment industry connections. He was a Black immigrant from a poor neighborhood who had worked physically demanding jobs and had been laid off during a global crisis. For young people facing similar challenges, his success became proof that they, too, might build a better future through creativity and perseverance.

This emotional connection fueled a passionate fan base. When Khaby was approaching Charli D'Amelio's follower count, the internet seized on the race as a symbolic battle between two visions of TikTok. Some users admitted that they barely watched Khaby's videos during that period; they simply wanted him to win. They saw him as the representative of ordinary people in a platform dominated by polished stars. When Khaby finally overtook Charli in June 2022, it felt like a watershed moment. A young African-Italian man with a gesture, a stare, and no words had conquered the global stage.

From Influencer to Global Brand

With such enormous fame came inevitable commercial opportunities. Khaby Lame quickly transformed his online celebrity into a diversified business. He signed ambassadorial deals with luxury fashion brands such as Hugo Boss, appeared in advertising campaigns for food giant Barilla, and partnered with technology companies like Google and Pepsi. He also entered the cryptocurrency world as a brand ambassador for Binance, a partnership that drew both excitement and criticism given the volatility of digital assets. By 2023, his company was reportedly generating revenues in excess of $16 million per year.

His fame transcended the digital sphere. He appeared alongside celebrated American entertainers, from basketball legend Shaquille O'Neal to comedian Trevor Noah and actor Will Smith. Football stars such as Alessandro Del Piero joined him in videos, and even Mark Zuckerberg and Snoop Dogg sent him signs of recognition. Khaby, who taught himself English at extraordinary speed, began to chase his most ambitious dream: becoming an actor. Rumors emerged of a Hollywood comedy in the works, in which he would play a food delivery driver who accidentally becomes a CIA agent.

Yet this transformation from TikTok star to global entertainment figure presents new challenges. The very qualities that made Khaby Lame unique—his ordinariness, his lack of polish, his humble setting—are also the ones that feel difficult to maintain as he grows richer and more famous. His later videos became increasingly sophisticated, with better production values and celebrity cameos, but the result was not always an improvement. Audiences who adored his simple videos from a modest bedroom could see the distance growing between Khaby the ordinary man and Khaby the international star.

The Perils of Success

Social media specialists point out a familiar trap for creators who achieve massive success: success can erode the very authenticity that generated it. An influencer who once captured people's hearts by being relatable now lives behind gates and red carpets. If Khaby's videos become too polished, he risks losing the charm that set him apart from the Instagram-era influencers who always showed perfect lighting and curated lives. TikTok's most distinctive early creators were known for their unvarnished approach—low-fi production, natural light, and spontaneous moments. Khaby Lame was one of the most visible representatives of that aesthetic before he morphed into a global brand.

To his credit, Khaby seems aware of the danger. He has reportedly shifted some of his recent output back to a more rustic style, trying to reconnect with the playful and raw energy of his early work. But the pressure to produce ever more spectacular content is immense. His follower count, while still astronomical, has seen signs of slowing growth. The era when every new video could break records and re-energize the platform may be behind him. Thousands of imitators have adopted his silent style, the shrug, and the eye roll, diluting the novelty. TikTok's algorithm has changed, too, elevating new formats and creators who speak and dance and interact in ways that Khaby does not.

And then there is the identity paradox. Khaby Lame went from being a worker made redundant by a pandemic to being a wealthy celebrity courted by Hollywood. He is no longer an underdog fighting for visibility; he is an established brand. His early story of resilience and hope still resonates, but the daily reality of his life has little in common with the millions of followers who watch him from their own bedrooms. The challenge of being Khaby Lame today is not simply to remain funny—it is to remain believable as the humble, wordless joker who once turned a dead-end situation into a universal language of laughter.

Whether he can sustain that balance is the story of the next chapter of his career. For now, Khaby Lame stands atop the TikTok universe, a monument to the power of simplicity in a hyper-complicated world. His rise shows that platforms may change, algorithms may shift, and trends may fade, but a genuinely clever idea—delivered with an expressive face and a pair of open palms—can still conquer the globe. The end of his story is yet to be written, but if there is a lesson in his journey, it is that even a global phenomenon remains vulnerable to the oldest problem of all: too many opportunities can become a burden, and staying true to oneself is often the hardest trick of all.

Source: Les Echos News

Bombay Creamery's opening lineup includes cones, cups, tubs, bars and sticks, Reliance Consumer Products said on Tuesday. The brand is initially available in western India and will be expanded across the country in the coming phase. The name itself carries a strong nostalgic and commercial signal, tying the brand to the country's financial capital and to a consumer culture that still affectionately uses Bombay rather than Mumbai in many everyday settings.

Key facts at a glance

• Reliance Consumer Products, the consumer goods arm of Reliance Industries, has launched Bombay Creamery.
• The starting price is ₹10, or roughly 10.5 U.S. cents per unit.
• The range covers cones, cups, tubs, bars and sticks.
• The rollout begins in western India, with a nationwide expansion planned.
• Major competitors include Amul, Vadilal, Mother Dairy, Kwality Wall's and Hatsun Agro's

  
  Source: Zonebourse News

Lula confirms Neymar will not play at the 2026 World Cup

In a major blow to Brazilian fans, President Luiz Inácio Lula da Silva reportedly confirmed in late February 2026 that Neymar would be excluded from the Brazilian squad for the 2026 World Cup. The statement, made during a public appearance, sparked immediate controversy and debate among pundits. Lula's confirmation was seen as highly unusual, as national team selections are typically the sole responsibility of the head coach. Yet his words echoed what many had already speculated: Neymar's recurring injury problems and inconsistent form made him a risky choice for a tournament demanding peak physical and mental sharpness.

The news was published on 27 February 2026, and it sent shockwaves through the football community. Neymar had missed significant portions of the previous two seasons through injury, and his brief spell in Saudi Arabia with Al Hilal was marred by fitness issues. Despite his enormous talent, the Brazilian national team setup had gradually shifted toward younger players who could provide more pressing, mobility, and defensive cover. Neymar's exclusion, though painful for his legacy, was framed by many analysts as a logical step in Brazil's evolution under a new generation.

Rodrygo injury changes the equation

Just days after Lula's confirmation, another twist emerged. On 5 March 2026, reports surfaced that Real Madrid forward Rodrygo would miss the World Cup due to injury. The headline "CDM 2026: Rodrygo forfait, Neymar se frotte les mains" (Rodrygo out, Neymar rubs his hands) suggested that Neymar saw an opportunity to reclaim a place in the squad. With Rodrygo sidelined, Brazil's attacking depth took a hit, and some believed coach Carlo Ancelotti—who by then had taken over the national team—might reconsider Neymar's exclusion.

The situation highlighted the delicate nature of squad selection for a World Cup. One injury can alter the entire tactical picture. Neymar has always thrived on the biggest stage, and his experience in pressure situations is unmatched in the current Brazil squad. However, his physical fragility remains a huge concern. The reported article, dated 5 March 2026, indicates that Neymar was actively monitoring the situation and perhaps even maintaining his fitness in anticipation of a late call-up. Yet the final decision rested with the coach and medical staff, who had to weigh the risks of bringing a player who had struggled to play 90 minutes consistently.

Neymar negotiates his future during the World Cup

Despite the World Cup exclusion, Neymar did not fade from the news. On 26 June 2026, a report claimed that "Neymar Jr négocie son avenir en pleine Coupe du monde 2026" (Neymar Jr negotiates his future in the middle of the 2026 World Cup). This headline suggests that while the tournament was being played in the United States, Canada, and Mexico, Neymar was using the time to secure his next club contract. Having left Al Hilal and with his Santos contract seemingly winding down, Neymar became a free agent or near-free agent, and his market value, while diminished, still attracted interest from ambitious clubs.

The concept of negotiating during a World Cup is not new. Players out of the spotlight often use the transfer window to finalize deals, and Neymar’s name value ensures that negotiation leverage remains high. Clubs from Major League Soccer, the Saudi Pro League, and even Europe were reportedly in contact with his representatives. The challenge for Neymar is balancing his desire for a final lucrative contract with his ambition to remain competitive enough for one last Copa América or perhaps a farewell tour. His decision, expected to be announced after the World Cup, would shape the final chapter of his career.

Manchester United's 'enormous' transfer attempt

In November 2025, a rumor emerged that Manchester United was preparing an “énorme coup”—an enormous move—for Neymar. The report, published on 19 November 2025, claimed that the Premier League giants were looking to add a global superstar to their attacking line. United, under new ownership, had shown willingness to invest in marquee signings to restore their domestic and European status. Neymar's potential arrival at Old Trafford would be a blockbuster move, bringing vast commercial appeal and moments of individual brilliance.

But such a transfer was fraught with obstacles. Neymar's injury history made a long-term contract a serious risk. His age meant a resale value was nearly nonexistent. Furthermore, his style as a traditional number 10 or left winger might not fit the high-intensity, gegenpressing approach often preferred in the Premier League. Nevertheless, the rumor persisted for weeks, and fans debated the merit of signing a player past his prime. Some argued that Neymar's creativity and experience could unlock low-block defenses that United often struggled against, while others saw it as a marketing stunt rather than a footballing solution.

New destinations and the MSN reunion in Miami

On 18 December 2025, the headline "Mercato: Une nouvelle destination se profile pour Neymar Junior" (Transfer market: A new destination emerges for Neymar Junior) hinted that an uncharted club was entering the race. While the specific destination was not disclosed in the snippet, context suggests it was a club outside the traditional European elite. Reports later pointed toward the Saudi Pro League, where clubs like Al Hilal and Al Nassr had previously shown interest. But a more romantic possibility emerged on 3 December 2025 with the headline "La MSN réunie à Miami? Une grande nouvelle tombe" (MSN reunited in Miami? Great news arrives).

The MSN trio—Messi, Suárez, and Neymar—defined an era at Barcelona, winning the treble in 2015 and mesmerizing fans with their telepathic understanding. Since then, they have each moved on to different leagues. Messi joined Inter Miami in 2023, Suárez followed in 2024, and Neymar, after his stints in France and Saudi Arabia, became a subject of speculation about joining them in South Florida. An MSN reunion in Miami would be a marketing goldmine for Major League Soccer, and it would offer Neymar a chance to play in a less physically demanding league while staying in the global spotlight. The prospect of watching the three legends combine again at DRV PNK Stadium has already generated enormous excitement among fans and neutrals alike.

However, the challenges are substantial. Inter Miami's salary cap and designated player rules would require complex contract structuring. Neymar would likely have to accept a significant pay cut compared to what Saudi clubs might offer. Also, his fitness level and ability to handle the artificial turf pitches used in some MLS venues would be key considerations. Yet the emotional narrative of MSN reuniting, even in the twilight of their careers, is irresistible for football romantics and for the league's expansion ambitions.

PSG's history: Barcola as the top sale

Amid all the speculation about Neymar's next move, a separate article about Paris Saint-Germain's transfer history offered a fitting retrospective. The headline "Les 10 plus belles ventes de l'histoire du PSG, Barcola numéro 1?" (The 10 greatest sales in PSG history, Barcola number 1?) ranked the most notable departures from the French club. Neymar's own departure to Al Hilal in 2023 for a reported €90 million was one of the most significant sales in PSG's history. But the article suggested that Bradley Barcola, a young forward who emerged through the club's academy or was flipped for a high fee, might have surpassed Neymar in terms of pure profit or strategic value.

This perspective illustrates the changing dynamics of the transfer market. PSG, once famous for spending lavishly on established superstars, has evolved into a club that also focuses on developing and trading young talents. Neymar's time at PSG was marked by brilliance but also by recurring injuries and controversies. He arrived from Barcelona in 2017 for a world-record €222 million and left six years later with mixed results. The club won numerous Ligue 1 titles but failed to capture the coveted UEFA Champions League trophy. His legacy at PSG is thus complicated, but his statistical output—over 100 goals and 70 assists—remains impressive.

The road ahead

As of now, Neymar's immediate future remains uncertain. The 2026 World Cup is ongoing without him, and Brazilian supporters are watching a new generation try to deliver the country's sixth world title. Meanwhile, Neymar, as reported, is using this period to negotiate his next contract. Whether he ends up in the Premier League, MLS, Saudi Arabia, or even returns to Brazil for a final spell, his decision will be influenced by multiple factors: financial security, family preferences, competitive ambition, and the desire to rewrite the twilight of his career. If the MSN reunion in Miami becomes a reality, it would be one of the most celebrated stories in football history. But if he chooses a more lucrative offer in the Middle East, his legacy might be further debated. One thing is certain: Neymar continues to be the protagonist of his own narrative, and the world will watch closely as he writes the final chapters.

Source: foot11 News

What’s new in ViWizard Streaming Audio Recorder V3.0.0?

Available for Windows and macOS, ViWizard Streaming Audio Recorder combines audio conversion and recording capabilities to manage digital audio content from multiple sources. It includes converters for 11 supported platforms, such as Spotify, Apple Music, and YouTube Music, to convert platform-based content and an audio recording tool to capture streaming audio from platforms, websites, and applications. The release comes as more listeners seek free audio resources for entertainment, education, and information with offline access.

Key Features of ViWizard Streaming Audio Recorder V3.0.0:

•          Download podcasts and access radio content from the built-in archive;

•          Manage streaming audio from 11 popular platforms in one toolkit;

•          Convert audio contents into MP3, WAV, FLAC, AIFF, M4A, and M4B formats;

•          Record streaming audio from platforms, websites, and applications;

•          Customize audio output settings for different playback needs;

•          Organize streaming audio content in one centralized library.

How does the new podcast and radio support work?

With podcast and radio archive support, users can explore content across categories including entertainment, current events, professional topics, music, discussions, and live programs. Resources such as BBC World Service provide additional audio options that can be managed alongside content captured from other platforms.

ViWizard Streaming Audio Recorder separates podcast saving and radio recording based on the nature of each content type. Podcasts can be saved directly in supported formats, including MP3, WAV, FLAC, AIFF, M4A, and M4B, while radio stations require real-time recording through ViWizard Audio Capture support. Also available as a standalone tool in the “Tools” section, ViWizard Audio Capture records system audio from platforms, websites, and applications. Together, ViWizard Streaming Audio Recorder offers a broader solution for users looking to organize streaming audio content in one place.

Steps to Save Podcasts from ViWizard Streaming Audio Recorder

1. Download and install ViWizard Streaming Audio Recorder on your computer. The program supports both Windows and macOS. Once installed, launch the software to access the built-in audio resources and start saving podcasts.
2. Open the Podcast section from the built-in archive and browse available shows. You can explore categories including comedy, true crime, news, society and culture, sports, business, and more. To find a specific episode, click "See All" and search with the podcast title or related information.
3. Select a podcast episode and open its details page. Review the episode information before downloading to make sure you choose the correct content.
4. Set the output format and adjust output settings before saving the file. Click Settings in the lower-left corner, go to the Podcasts section, and select a format under "Output Format", including MP3, WAV, FLAC, AIFF, M4A, and M4B. You can also customize the audio channel, bitrate, sample rate, and output folder.
5. Download the podcast episode. Since podcasts are pre-recorded content, ViWizard can process and save episodes directly without real-time recording. You can download all episodes using the "Download All" button or save individual episodes with the download icon.
6. Wait for ViWizard to complete the process. Once finished, the saved files will appear in the output folder, where you can listen offline or organize them with your other audio collections.

Steps to Record Radio from ViWizard Streaming Audio Recorder

1. Download and install ViWizard Streaming Audio Recorder on your computer. After opening the program, you can access the built-in radio archive or use the recording feature to capture audio from online sources.
2. Open the Radio section and browse available stations by genre. You can find radio content across categories including pop, news and talk, sports, hip hop, dance and electronic, classic rock, and more.
3. Select a radio station and start the live stream. Since radio broadcasts in real time, ViWizard captures the stream while it plays. The recording feature can capture audio from platforms, websites, and applications, allowing you to save live radio programs.
4. Set the output format and customize recording settings before saving the file. Click Settings in the lower-left corner, go to the Radio section, and select a format under "Output Format", including MP3, WAV, FLAC, AIFF, M4A, and M4B. You can also adjust settings such as "Auto-play radio when recording starts," "Auto-split file every xxx minutes," and "Auto-stop recording after xxx minutes."
5. Start recording the radio content. Open your preferred station, click the Record icon at the bottom, and let ViWizard capture the radio stream while you continue listening.
6. Stop or pause the recording when finished. You can pause or stop recording at any time, while the radio station continues playing. After recording, review the saved audio file before further management.
7. Find your recorded radio files in the output folder. You can listen to the saved recordings offline and organize them with other streaming audio content captured through ViWizard.

For more information, visit the product page: https://www.viwizard.com/streaming-audio-recorder/. In this video guide, you can see how to use it.

“With the evolution of digital audio consumption, we have developed ViWizard Streaming Audio Recorder as an integrated audio toolkit that combines music conversion, audio recording, and media management features across platforms,” said Adam Gorden, Marketing Manager at ViWizard. “Our goal is to bring audio capture, conversion, and management features together in a single solution to help users organize and manage their streaming audio content.”

About ViWizard

ViWizard develops digital media solutions that help users overcome challenges related to platform restrictions, format compatibility, and device limitations. With expertise in media conversion and processing, ViWizard creates practical tools that help users access, manage, and enjoy their favorite content across different platforms and formats.

YouTube: https://www.youtube.com/@viwzard

Facebook: https://www.facebook.com/viwizardsoft/

Twitter: https://twitter.com/viwizard_soft

A discovery born from a documentary project

The unexpected finding occurred during the production of the documentary series Pole to Pole, in which Will Smith explores extreme environments across the globe. While the camera crew was focused on highlighting the wonders of the Amazon, a team of scientists led by Professor Bryan Fry from the University of Queensland was conducting a very different kind of investigation. Their mission was to assess the long-term impact of oil drilling on the region's fauna and flora, working in close collaboration with the Waorani, an indigenous people who have inhabited the Amazon for centuries.

What started as an environmental monitoring project soon turned into a taxonomic revelation. The researchers were collecting tissue samples from green anacondas when they noticed something unusual. The snakes encountered in Ecuador appeared larger and genetically distinct from those found in Brazil. After extensive DNA sequencing, the team confirmed that the Ecuadorian anacondas represented a separate species altogether. The new species, which can reach up to 7.5 meters, adds a new chapter to the history of one of the world's most iconic snakes.

Anacondas: more than one species

For decades, scientists believed that the green anaconda (Eunectes murinus) was a single species distributed across much of South America. However, the genetic analysis revealed that what was once thought to be a single population is actually two distinct species. The Brazilian green anaconda remains classified as Eunectes murinus, while the newly identified Ecuadorian species is larger and occupies a different geographic range. This discovery underscores the hidden diversity that still exists in tropical ecosystems and the importance of genetic tools in modern taxonomy.

The size difference between the two species is striking. While female anacondas in Brazil typically reach around five meters in length, their Ecuadorian counterparts can grow significantly longer. This finding is not merely a curiosity; it has profound implications for conservation. The Brazilian species, with a relatively smaller distribution area, is facing a higher risk of extinction, particularly as habitat destruction and pollution continue to fragment its environment.

Sexual dimorphism and feeding habits

The research also shed light on the dramatic differences between male and female anacondas. According to Professor Fry, the physical characteristics of the snakes vary considerably depending on sex. Females are generally larger and heavier, while males are smaller and more slender. In fact, the scientists found that male anacondas are about twice as large as females in some aspects, a trait that influences their feeding ecology and energy requirements.

These morphological differences translate into distinct diets. Males, being more agile, tend to prey on wading birds that inhabit aquatic environments. Females, with their greater bulk, prefer larger terrestrial or semi-aquatic prey, such as capybaras, deer, and other grazers. This dietary divergence means that the two sexes occupy different ecological niches, reducing competition between them. However, it also exposes them to different pathways of environmental contamination.

Heavy metals and the impact of oil pollution

The primary goal of Professor Fry's expedition was to investigate how oil drilling affects the Amazonian food chain. By analyzing the concentration of heavy metals in the snakes' tissues, the team sought to detect the ripple effects of petroleum spills and leaks. The results were alarming. Male anacondas, which feed on birds that forage in water, had levels of lead and cadmium more than 1,000% higher than those found in females. This indicates that oil-derived contaminants are infiltrating the aquatic ecosystem and accumulating in predators at the top of the food chain.

The presence of such high levels of toxic metals is a serious threat to the health of these snakes. Heavy metals can impair neurological function, reduce reproductive success, and weaken the immune system. The researchers also noted that hydrocarbon pollution specifically affects male fertility, which could have devastating consequences for already vulnerable populations. As the Waorani community has long warned, oil extraction activities in the Amazon have a direct and measurable impact on wildlife, and the anaconda serves as a sentinel species for these hidden dangers.

Conservation implications

The discovery of a new anaconda species is a double-edged sword. On one hand, it highlights the remarkable biodiversity that remains to be discovered in the Amazon. On the other hand, it places an even greater responsibility on governments and industries to protect these habitats. The Brazilian species, which was already considered to be under pressure, is now shown to have an even smaller range than previously thought. Deforestation, mining, and oil exploration are fragmenting the forests and rivers that these snakes depend on, pushing them closer to extinction.

Protecting anacondas is not just about saving a single species. As apex predators, they play a crucial role in maintaining the balance of the ecosystem. By controlling the populations of prey species, they help regulate the entire food web. Their presence indicates a healthy environment, and their decline would signal a broader ecological collapse. The study's findings provide compelling evidence that conservation efforts must be intensified, not only in protected areas but also in regions where industrial activities are encroaching on pristine wilderness.

The broader context of Amazonian discoveries

This new anaconda species is just one of many recent discoveries in the Amazon. In the months before this finding, scientists had identified four new species of eyelash vipers in the same region, further demonstrating the extraordinary diversity of reptiles in South America. Each new species adds to our understanding of evolution and ecology, but also reminds us of how much we stand to lose if these habitats are destroyed.

The collaboration between scientists and indigenous communities was instrumental in making these discoveries possible. The Waorani's intimate knowledge of the forest helped guide the researchers to key locations and provided insights into the behavior of the animals. This partnership exemplifies the importance of integrating traditional knowledge with modern science in conservation efforts.

Will Smith's role and public awareness

Will Smith's involvement in the documentary has brought unprecedented attention to this scientific breakthrough. While the actor is not a researcher himself, his participation has allowed the story to reach a global audience. Celebrity-backed documentaries have the power to make complex scientific issues accessible and engaging, inspiring viewers to care about conservation.

The striking footage of the enormous anaconda, combined with the serious message about pollution, is expected to spark discussions about environmental policies. It also demonstrates that entertainment and science can work together to produce meaningful outcomes. The discovery was serendipitous, but it was made possible by the existence of a team that was already on the ground conducting rigorous research.

Looking ahead: research and preservation

The scientific team plans to continue its research on both species of anaconda, focusing on their genetic diversity, reproductive biology, and resistance to contaminants. There is also an urgent need to establish long-term monitoring programs to track the effects of pollution over time. The researchers hope that their findings will prompt oil companies to adopt cleaner extraction methods and better waste management practices.

For now, the giant anaconda of Ecuador remains a symbol of the hidden wonders that still await discovery in the Amazon. Its existence is a testament to the resilience of nature, but also a warning that no species is safe from human-induced threats. As the world watches this majestic serpent glide through the murky waters of the Amazon, one thing is clear: the time to act is now, before these irreplaceable treasures are lost forever.

Source: Science et vie News