Nvidia is no longer just selling the picks and shovels of AI. It is also buying pieces of the boom it helped create, and that changes the power balance.
Nvidia's latest numbers make the strategy harder to ignore. The chipmaker reported fiscal first-quarter revenue of $81.6 billion on May 20, keeping its AI growth story intact at the same time its startup and private-company investments are becoming a strategic asset in their own right, not just a side effect of huge cash generation.
The scale matters because the familiar picture of Nvidia as a hardware supplier is now incomplete. The company is also a capital allocator, taking equity stakes across the AI stack, from model developers to cloud and infrastructure providers. That gives it exposure to the upside of the same ecosystem that depends on its chips, and it is why investors are increasingly asking whether the company is still a neutral supplier or something closer to a platform with financial skin in the game.
TechCrunch reported in March that Nvidia struck a multi-year partnership with Thinking Machines Lab, the AI startup founded by former OpenAI chief technology officer Mira Murati, with the company set to deploy at least one gigawatt of Nvidia's next-generation Vera Rubin systems beginning in 2027. That deal is a good example of how Nvidia now operates on two levels at once, as both the supplier of scarce compute and the company shaping where that compute gets deployed.
The company's broader pattern is even more telling. CNBC reported in January that Nvidia participated in 14 funding rounds for European tech companies in 2025, up from seven the year before, and that those deals were part of a wider total of 86 startup funding rounds globally in that year. The same report pointed to a strategy of reinvesting surplus cash into the AI ecosystem, which is a neat way of saying Nvidia is building relationships through both products and equity.
That strategy has only accelerated in 2026. TechCrunch reported in May that Nvidia had already committed more than $40 billion to equity investments in AI companies in the first months of the year, with a $30 billion investment in OpenAI doing much of the heavy lifting. Reuters also reported in May that Nvidia planned to invest up to $2.1 billion in IREN as part of a broader AI data-center deal, another sign that the company is extending its reach well beyond the chip tray.
Why startups are paying attention
For early-stage AI companies, Nvidia's move from vendor to investor changes the negotiating table. A startup that depends on Nvidia GPUs for training or inference now has to think not only about pricing, supply, and product support, but also about whether the chipmaker has an ownership interest in the same market. That does not automatically create conflict, but it does make neutrality harder to assume, especially when compute remains tight and every serious AI founder is trying to secure both access and credibility.
The market is already behaving as though that tension exists. Reuters reported in February that Nvidia was nearing a $30 billion investment in OpenAI, a deal that would make the chipmaker one of the most important financial partners to one of the world's most influential AI labs. CNBC later reported that Nvidia's private AI-company commitments and infrastructure bets had become large enough to raise questions about circularity, because the company is backing customers that also buy its hardware.
That loop can be powerful. It can also be uncomfortable. If Nvidia owns part of the companies that need Nvidia hardware, then its capital can help shape product road maps, hiring, and infrastructure choices in ways that are not available to rivals who are simply selling chips. Startups benefit from the association, but they also inherit a new layer of dependency, one that can affect everything from board discussions to future fundraising.
The funding market is shifting
This is not just a story about one company getting more aggressive. It is a sign that AI capital markets are being reorganized around scarce compute. When a single player controls both a critical supply chain and a rising share of venture-stage capital, the traditional line between infrastructure and financing starts to blur. That matters because founders are no longer just pitching customers and investors, they are also trying to fit into the purchasing logic of the dominant chip supplier.
There is a reason this has become such a live issue. Nvidia's record revenue gives it the cash flow to keep widening its reach, while the AI industry's dependence on its chips gives those investments strategic value that goes beyond financial return. As recent CNBC coverage made clear, Nvidia's bets reflect a broader attempt to reinforce its position as the central company in the AI economy, not merely a seller into it.
That makes the next phase of the AI boom look different from the first. Early on, Nvidia won because everyone needed the hardware. Now it is also winning because it can decide where some of the capital goes. For startups, that can mean faster access to compute and a stronger signal to the market. It can also mean living inside a system where one company has an unusually large say in both the flow of money and the flow of machines.
Also read: Lawsuit and a $2.8bn bet: xAI's Memphis buildout exposes AI's physical limits • Anthropic's profit path shows AI's business model is maturing • Anthropic's $1.25bn-per-month bet on xAI makes compute the new battlefield
