Nvidia’s reported discussions to anchor Anthropic’s planned $100 billion initial public offering point to a new phase in the economics of artificial intelligence, where the companies supplying the infrastructure for the AI boom are increasingly financing the companies consuming it.

If the discussions materialize, Nvidia would effectively be helping fund the public-market exit of one of its largest AI customers while continuing to supply the computing power required to support Anthropic’s expansion.

The development has created an unusually tight capital loop. Nvidia sells the compute infrastructure that Anthropic needs to build and operate powerful AI models, invests in the company, and could now provide capital for its transition into public markets. The arrangement would blur the traditional distinction between infrastructure provider, financier and customer.

The talks are preliminary, and neither a $100 billion IPO nor Nvidia’s participation is guaranteed. But the scale of the reported ambitions illustrates how far AI valuations have moved and how deeply capital markets are becoming intertwined with the physical infrastructure powering the industry.

Anthropic is reportedly seeking as much as $100 billion at a valuation approaching $2 trillion. That would put the proposed offering in a category of its own. Saudi Aramco’s 2019 listing raised $29.4 billion. SpaceX raised $75 billion to $86 billion in June, making it the largest IPO on record. Anthropic’s proposed raise would be more than that amount.

The valuation trajectory is equally striking. Anthropic was valued at roughly $350 billion in November 2025 and about $965 billion by May 2026, according to the figures underpinning the reported IPO discussions. A potential $2 trillion valuation would therefore represent a dramatic escalation in less than two years.

Such numbers show how the AI market has moved beyond conventional technology-company valuation frameworks. Investors are increasingly pricing companies according to expected future control of AI workloads, rather than simply their current earnings or established revenue base.

For Anthropic, the bet is that its growth can continue at a pace capable of supporting that valuation.

The company’s reported revenue increased from about $9 billion at the end of 2025 to $47 billion by May 2026. Bankers are also reportedly applying enterprise-value-to-revenue multiples to forecasts for 2028, when Anthropic is projected to generate between $190 billion and $200 billion in revenue.

Those forecasts imply that investors are being asked to look several years ahead and assume that an extraordinary growth trajectory can be sustained at enormous scale.

That is where Nvidia becomes particularly important.

Nvidia Moves From Supplier to Capital Partner

Nvidia’s relationship with Anthropic has already extended well beyond a conventional chip-supplier arrangement. As of November 2025, Nvidia had committed up to $10 billion in investment alongside 1 gigawatt of computing capacity based on its Grace Blackwell and Vera Rubin architectures.

A potential role as an anchor investor in Anthropic’s IPO would take that relationship another step forward. The significance is not simply that Nvidia would be investing in a valuable AI company. It would be investing in a company whose expansion directly increases demand for the computing infrastructure Nvidia supplies.

That creates a feedback mechanism.

Anthropic needs more compute to train and operate its models. Nvidia provides much of that infrastructure. Nvidia invests capital in Anthropic. Anthropic uses that capital to expand its business and, in turn, requires more computing capacity. If Anthropic ultimately reaches the valuation being contemplated, Nvidia could benefit both from the growth of its customer and from the continued demand for its infrastructure.

The arrangement is therefore closer to an ecosystem financing model than a traditional supplier relationship. It also shows why the economics of AI cannot be assessed simply by looking at the revenues of model companies. A substantial portion of the money flowing into AI companies ultimately has to be spent on chips, data centers, networking, power, and other infrastructure.

The question for investors is how much of the industry’s apparent growth represents durable end-user demand and how much is capital circulating among companies within the same AI ecosystem.

The Valuation Depends On Enormous Future Growth

Anthropic’s reported $2 trillion valuation target rests heavily on expectations for future revenue.

A projection of $190 billion to $200 billion in 2028 revenue would represent an extraordinary expansion from the reported $47 billion level in May 2026. Maintaining that trajectory would require Anthropic to continue converting rapidly rising demand for AI services into actual recurring revenue while also securing enough computing capacity to serve those customers.

That second requirement is crucial.

AI model companies cannot scale revenue independently of infrastructure. Every additional customer, model deployment, and agentic workload ultimately consumes computing resources. The more aggressive the revenue projections become, the greater the infrastructure requirement becomes as well.

This creates an important tension in the valuation story. Rising demand for Anthropic’s models can support higher revenue, but satisfying that demand requires enormous capital expenditure.

Nvidia is positioned at the center of that equation.

The Hidden Cost of AI Scale

Anthropic’s recent disclosure involving 200 million exchanges has been presented as evidence of the scale of interaction underpinning its technology and intellectual property. But usage at that level also raises a less glamorous question: how expensive is it to generate, serve, and maintain that intelligence?

The AI industry’s valuation story has often focused on model capabilities and user growth while giving less attention to the cost of the compute required to deliver those capabilities. High revenue growth does not automatically translate into high free cash flow when every additional dollar of demand requires substantial infrastructure spending.

This is where the emerging separation between infrastructure companies and AI application or model companies becomes important.

Companies such as Nvidia can capture revenue from the capital expenditure required to build AI capacity, while companies such as Anthropic must demonstrate that the intelligence produced by that infrastructure can ultimately generate returns large enough to justify the cost.

The two businesses can therefore grow simultaneously, but their economics are not identical.

A New Template for AI Financing

Anthropic’s proposed IPO also comes as other major AI companies pursue enormous private-market funding rounds. OpenAI’s reported $122 billion raise provides a useful comparison. Nvidia contributed $30 billion to that financing, with the investment heavily tied to the company’s need for computing capacity.

Anthropic’s potential IPO would take the model into public markets. Rather than remaining entirely dependent on private capital to fund rapid expansion, Anthropic could use an IPO to establish a publicly traded valuation and access a much broader pool of investors. An Nvidia anchor investment would, at the same time, demonstrate that one of the industry’s most important infrastructure providers is willing to put substantial capital behind the model company.

That could become an important precedent for how frontier AI companies finance their enormous capital requirements. It would also raise questions for public-market investors about concentration and circularity. If chipmakers, cloud providers and AI laboratories increasingly invest in one another, headline valuations and revenue growth need to be examined alongside the source of the capital supporting that growth.

The issue is not necessarily that such investments are artificial or economically meaningless. Nvidia benefits when Anthropic grows because Anthropic requires compute. But the structure makes it harder to determine how much value is being created by final AI demand and how much is being amplified by investment and infrastructure commitments within the ecosystem.

What Investors Will Watch

The most revealing detail in any eventual Nvidia-Anthropic agreement may be the division between cash and computing commitments.

A large cash investment would represent a direct financial commitment to Anthropic’s valuation. A package dominated by compute capacity would tell a different story, reinforcing Nvidia’s role as an infrastructure supplier using capital commitments to secure future demand.

The terms would also matter for the broader AI financing market. A $100 billion IPO would test whether public investors are prepared to absorb valuations based on exceptionally aggressive long-term revenue forecasts and capital requirements.

Regulatory scrutiny could be another factor, particularly as the largest AI infrastructure providers become increasingly intertwined with the companies competing to build frontier models.

For Nvidia, however, the attraction is straightforward. The company does not have to choose between being an infrastructure supplier and an investor. It can potentially profit from both sides of the AI capital cycle. That may be the more important story behind the proposed Anthropic IPO.

The AI boom is creating an ecosystem in which the companies supplying the machines can finance the companies using them, which then spend more money on those machines as they grow. Anthropic’s potential public listing would make that relationship more visible to ordinary investors.