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Nvidia has indicated that its era of large-scale equity investments in leading artificial-intelligence developers may be drawing to a close, with chief executive Jensen Huang saying the company is unlikely to make further major financial commitments to OpenAI or Anthropic as both firms move closer to potential public listings.
Speaking at a technology and telecom conference in the United States, Huang said Nvidia’s existing stakes in the two companies may represent the final private investments the chipmaker makes in them. The comments came as both OpenAI and Anthropic explore public-market options that could transform the structure of the rapidly expanding AI industry. Once companies enter the IPO phase, opportunities for additional private investment typically diminish, limiting the scope for strategic shareholders to increase their holdings.
Nvidia has already committed vast sums to the sector. The company finalised a $30 billion investment in OpenAI, the developer behind widely used generative-AI systems including ChatGPT, after earlier discussions had floated a potential commitment of up to $100 billion. Huang acknowledged that such a larger investment now appears unlikely, noting that OpenAI’s anticipated stock-market debut could place the company’s valuation close to $1 trillion.
A separate investment of about $10 billion in Anthropic, the developer of the Claude artificial-intelligence model, also appears set to stand as Nvidia’s final major stake in that company. Anthropic has also been examining the possibility of a public offering, although executives have not confirmed a firm timeline.
Huang’s remarks underline the unusual position Nvidia occupies in the AI economy. Rather than competing directly with model developers, the California-based company supplies the graphics-processing units that power most large-scale AI systems. Its hardware has become essential infrastructure for companies building large language models, creating a relationship in which the chipmaker profits from the rapid expansion of the sector regardless of which developers ultimately dominate the market.
That dynamic has produced an intricate web of partnerships across the technology industry. OpenAI, Anthropic, Google, Amazon and Microsoft all rely heavily on Nvidia hardware for the training and deployment of advanced AI models. The explosive demand for computing power has propelled Nvidia’s market value to historic highs, making it one of the most valuable technology firms in the world and placing it at the centre of the global race to build artificial-intelligence infrastructure.
Analysts say Nvidia’s investments in AI start-ups have served both strategic and financial purposes. By taking minority stakes in companies that are among its largest customers, the chipmaker deepens commercial ties while also gaining exposure to the financial upside of the AI boom. At the same time, the structure of such investments has attracted scrutiny from some observers who argue that circular financial arrangements—where an investor funds a company that then purchases large quantities of the investor’s products—can blur the distinction between capital investment and future sales commitments.
Huang dismissed suggestions that Nvidia’s pullback reflects any weakening of relationships with OpenAI or Anthropic. Instead, he characterised the investments as part of a broader effort to expand the company’s ecosystem and support companies building transformative AI systems. Nvidia continues to supply the computing hardware that underpins both firms’ research and commercial services, a relationship expected to remain intact regardless of changes in ownership structures.
OpenAI has emerged as one of the most influential companies in the generative-AI wave, attracting enormous funding commitments as it develops increasingly sophisticated models capable of generating text, code, images and other digital content. The company has formed high-profile partnerships with major technology groups while also pursuing large-scale data-centre projects to support the massive computational demands of advanced AI systems.
Anthropic, founded by former OpenAI researchers, has pursued a parallel strategy centred on developing AI models designed with strong safety and alignment principles. Its Claude series of systems competes directly with OpenAI’s offerings, and the company has drawn backing from several technology and cloud-computing firms seeking a foothold in the fast-growing AI ecosystem.
The scale of capital flowing into artificial intelligence has grown dramatically over the past two years, with funding rounds frequently reaching tens of billions of dollars. Companies building large models require enormous amounts of computing power, electricity and data-centre capacity, driving demand for specialised chips and infrastructure. Nvidia’s processors dominate this market, and the company has repeatedly emphasised that its primary role is supplying the computational backbone of the AI economy.
Industry analysts say Nvidia’s decision to limit additional equity investments may reflect a shift toward focusing on hardware supply and infrastructure partnerships rather than expanding its financial exposure to individual AI developers. With the sector maturing and valuations rising sharply, many technology firms are reassessing how best to participate in the next stage of the AI boom.
