Nvidia (NVDA) is coming off two years of being the biggest toll collector in the artificial intelligence boom. However, CEO Jensen Huang might have put a pin in that balloon, thanks to his latest comments.
If you think that is hyperbole, think again. Huang believes Nvidia’s $30 billion investment in OpenAI “might be the last.”
If that is not shocking enough, the Nvidia boss said the $100 billion “bet” discussed by Nvidia and OpenAI is “probably not in the cards.” The reason, according to Huang, is simple yet market-changing:
That is the headline coming out of this exchange. It also happens to be a detail Nvidia traders might miss when discussing the matter.
If you are an NVDA trader, you will take interest in Nvidia finding a cleaner, more profitable way to keep OpenAI and other cutting-edge model makers connected to its hardware, systems, and future inference capacity.
Nvidia’s relationship with OpenAI just got smaller
Nvidia and OpenAI’s relationship can be traced back to September 2025, when the two parties inked an agreement covering at least 10 gigawatts of Nvidia systems. Nvidia, according to the signed documents, planned to invest up to $100 billion over time as new capacity came online.
But there was trouble in paradise almost immediately in late February when Nvidia’s annual filing said that there was “no assurance” that a final investment and partnership deal with OpenAI will materialize, raising concerns about the future of their collaboration and the potential impact on both companies’ strategic goals.
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Apart from this, it also reset expectations in a big way.
A huge $100 billion investment in a private company can make Nvidia a major player in the daily decisions of one of the biggest AI companies in the world. Given the impending IPO, this investment appears relatively insignificant compared to the overall market share and influence that Nvidia is expected to gain in the AI industry through a toehold in Nvidia.
The backing off of Nvidia reframed the deal as more of a commercial investment/partnership. It’s not an insignificant one, covering three gigawatts of dedicated inference capacity and two gigawatts of training on Nvidia’s Vera Rubin systems. The real prize here for Nvidia is still the demand for computing power, not just the exposure on the cap table.
For Nvidia shareholders, that shift carries 3 clear financial implications:
- Lower balance-sheet risk: Nvidia is not going to spend another $70 billion in a single private company.
- Less upside in the private market: If OpenAI finally comes out at or near the high valuations being talked about, Nvidia will own less of that upside than some bulls thought.
- Higher-quality operating upside: Nvidia could still make money if OpenAI keeps buying a lot of training and inference capacity that works with Nvidia hardware.
That is a trade that most people will be more than happy to take.
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Nvidia may be giving up ownership upside to keep the bigger prize
Nvidia doesn’t have to act like a huge venture fund to win this round, having already made $215.9 billion in revenue for the fiscal year 2026 and $68.1 billion in revenue for the fourth quarter.
These numbers show how much money it is already making as the main supplier for building artificial intelligence. Huang also called Grace Blackwell with NVLink “the king of inference” in the same earnings release, indicating where Nvidia thinks the next big wave of demand will come from.
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That makes it easier to understand what Huang comments about OpenAI.
Nvidia might be giving up some theoretical benefits of owning a bigger piece of OpenAI before it goes public.
In exchange, it gives Wall Street a cleaner story: less balance-sheet sprawl, fewer questions about investing in customers who then use that money to buy Nvidia hardware, and more focus on the part of the model that already works, selling the picks and shovels, reflecting the broader shift in AI.
Huang’s comment about Anthropic points in the same direction. Reuters reported Nvidia’s $10 billion Anthropic investment will likely be its last there as well, even as Microsoft (MSFT), Nvidia and Anthropic previously announced a broader strategic partnership that included up to $10 billion from Nvidia and up to $5 billion from Microsoft.
That suggests Nvidia is not necessarily souring on frontier labs. It may simply be drawing a line under the era of large equity checks for them.
What Nvidia investors should watch next
The most important thing to think about now is whether Wall Street sees this as a setback or a sign of discipline.
The second option is probably the smarter read.
OpenAI still needs a lot of computing power. Nvidia still wants to be the one to sell it. If OpenAI is really going to go public, Nvidia may have decided that owning a smaller part of the startup is less valuable than owning a bigger part of its future infrastructure.
Here are three things that investors should keep an eye on from now on:
- The path to OpenAI’s IPO: A clearer timeline would support Huang’s claim that big follow-on investments are unlikely to happen from here.
- Rubin deployment speed: The quicker OpenAI meets its training and inference obligations, the more important the revenue read-through is for Nvidia.
- Whether Anthropic follows the same pattern: If Nvidia caps both major AI lab investments while preserving supply relationships, investors can treat this as a broader strategy shift rather than a one-off OpenAI decision.
Ultimately, Nvidia might have finished purchasing additional OpenAI.
But that does not mean it is backing away from OpenAI’s growth.
If anything, Huang just signaled that Nvidia wants a richer role in the artificial intelligence boom. However, it’s not as if the company is chasing endless private stakes, but as if the company is its biggest customer, who still cannot afford to build without it.
