Nvidia has now committed over $40 billion in equity investments in 2026 alone. To put that in context, that is more than most global banks allocate to entire strategic transformation programs. And the year is barely five months old.
The single biggest piece is a $30 billion investment in OpenAI, completed as part of a massive $110 billion funding round that also included Amazon and SoftBank. But that is only the beginning. Nvidia has separately taken stakes in a glass manufacturer, a data center operator, an AI cloud company, a telecommunications firm, a coding assistant, and a humanoid robotics startup, among many others. In 2025 it completed 67 separate startup investments. In 2026, it has already joined around two dozen more private rounds, in addition to the large public company deals.
These are not passive financial bets. The Corning deal is a useful case study. Nvidia is funding the construction of three new factories in North Carolina and Texas, which will expand Corning's production of optical fiber cables by more than 50 percent. These cables are the physical connections inside AI data centers. By prepaying for and taking equity in that factory output, Nvidia gets first access to materials that every other company building AI infrastructure also needs. AMD builds AI chips too. So do Google and Amazon, internally. They all need the same fiber cables. Nvidia just helped pay to build more of them, with an arrangement that tilts supply toward Nvidia's own customers first.
The IREN deal follows the same pattern. IREN started as a Bitcoin mining company and pivoted to running data centers. Nvidia offered it a $3.4 billion cloud services contract and a five-year option to purchase $2.1 billion in IREN stock. In exchange, IREN will deploy Nvidia hardware at scale across its global data centers, including a flagship campus in Texas. IREN's revenue had actually missed analyst forecasts badly in its most recent results. The Nvidia deal made that irrelevant. The stock jumped over 30 percent.
This strategy has a name in financial circles: vendor financing. The basic idea is that a company invests in its own customers so those customers can afford to keep buying. The concern raised by serious investors, including the short seller who predicted the 2008 housing crash and another who correctly identified Enron as a fraud, is that this can artificially inflate revenue. The money goes out as an investment and comes back as a chip sale. The revenue looks real, but the underlying demand may not be.
Nvidia formally rejected this framing in a seven-page memo it sent to Wall Street analysts. And to be fair, the company's defenders have a point too. Building AI infrastructure genuinely requires enormous capital, and companies do not always have it. Pairing long-term purchase agreements with financing is one way to make the whole system work.
But there is a structural issue that goes beyond accounting. An antitrust law professor at Vanderbilt noted that when Nvidia holds equity in OpenAI, it has a financial reason to not sell chips to OpenAI's competitors on the same terms. Nvidia's dominant position in the market for AI processing chips, estimated at above 90 percent, already drew a Department of Justice inquiry. Adding financial stakes in the leading AI companies makes that position considerably more entangled.
For businesses watching from outside the AI industry, the practical implication is straightforward. The companies that will supply AI services globally are being woven into a tightly interconnected financial web, with Nvidia at the center. The EU has already flagged concerns about these circular spending patterns. Regulatory intervention, particularly in Europe, is not a distant possibility.
If that web holds, the AI supply chain becomes more reliable and faster. If it frays, the shock will be felt well beyond Silicon Valley, including in the procurement budgets, insurance risk models, and operational planning of industries that have nothing to do with technology.