The grand vision of Nvidia pouring $100 billion into OpenAI now looks less like a done deal and more like a mirage receding into the distance. What was framed as a defining bet on the future of artificial intelligence has been hit by internal doubts, shifting market dynamics, and a very public clash of narratives between Nvidia executives and those tracking the negotiations. The money will almost certainly still flow between the two companies, but the all‑in megaproject implied by that headline figure appears increasingly unlikely to materialize.
Instead, the emerging picture is of a relationship being resized in real time, from a single colossal commitment into a series of smaller, more flexible arrangements. That shift matters far beyond Silicon Valley boardrooms, because it hints at how even the most powerful players in AI are recalibrating risk, governance, and capital intensity in a market that is growing fast but also getting more complicated by the month.
The megadeal that was never fully locked in
The starting point for the hype was a letter of intent that Nvidia and OpenAI signed in September 2025, outlining a potential investment of up to $100 billion and a build‑out of 10 gigawatts of computing power dedicated to OpenAI’s models. That figure, repeated in multiple accounts, was always aspirational rather than contractual, a ceiling rather than a firm check, yet it quickly became shorthand for Nvidia’s willingness to bankroll the next era of generative AI. The arrangement was framed as a way for Nvidia to secure long‑term demand for its most advanced chips while giving OpenAI privileged access to the infrastructure it needs to train ever larger systems, with Key Points explicitly describing the plan as a non‑binding memorandum for a $100 billion commitment and 10 gigawatts of capacity.
Later reporting made clear just how contingent that vision was. Under the partnership announced in September, Nvidia (NVDA) agreed in principle to build at least 10 gigawatts of computing power for OpenAI and to invest tens of billions of dollars, but the arrangement was not binding and not finalized, leaving both sides room to walk back or reshape the scope. That caveat is crucial, because it means the so‑called megadeal was always subject to internal reviews, market conditions, and evolving strategic priorities, as highlighted in accounts that describe how Under the partnership Nvidia and NVDA left themselves explicit flexibility.
On ice in public, under review in private
The first clear sign that the dream was wobbling came from detailed accounts that the $100 Billion Megadeal Between OpenAI and Nvidia Is on Ice, which described the talks as effectively frozen while both sides rethink the future of their partnership. Those reports painted a picture of executives reassessing whether locking in such a vast, long‑dated commitment still made sense given the pace of change in AI infrastructure and the growing number of hyperscale customers vying for Nvidia’s chips. They also suggested that the pause was not just about money, but about control, governance, and the strategic balance between a single flagship partner and a broader ecosystem, with one account explicitly calling the arrangement an Exclusive Billion Megadeal Between parties that is now on Ice.
Follow‑up analysis reinforced that the cooling was real, not just a negotiating tactic. Citing people familiar with the matter, one assessment noted that WSJ: Now, the two sides are rethinking the future of their partnership, with the latest discussions focused on scaling back the original ambitions rather than reviving them at full size. That same analysis argued that Nvidia’s broader AI empire, anchored in its dominance of data center GPUs, would remain intact even if the OpenAI deal shrank or splintered into smaller pieces, underscoring that the company’s leverage comes from its technology and supply chain, not from any single contract, as reflected in commentary that WSJ Now describes both sides rethinking the partnership.
Huang’s public pushback and the messaging war
As doubts about the megadeal spread, Nvidia CEO Jensen Huang moved quickly to counter the narrative that the investment had stalled. Speaking to reporters in Taipei, Huang insisted that the company still plans to make a huge investment in OpenAI and even suggested it could be the largest investment Nvidia has ever made, framing OpenAI as one of the most consequential companies of our time. That message, delivered as NVIDIA CEO Jensen Huang told journalists that the commitment could be the largest investment we have ever made, was captured in coverage of his remarks in Speaking in Taipei where Huang and NVIDIA sought to reassure markets.
Huang’s comments did not come in a vacuum. They followed detailed reporting that Nvidia was looking to scale back its OpenAI plans, prompting the CEO to push back against the idea that the company’s $100B OpenAI investment had stalled. In one account, Huang’s comments came after The Wall Street Journal published a story late Friday claiming that Nvidia was reconsidering the scope of its commitment, and he used the opportunity during a visit to Taipei to stress that Nvidia still expects to invest billions of dollars in OpenAI, even if the structure changes. That same report noted how Huang responded to The Wall Street Journal on that Friday as Nvidia sought to steady expectations.
From all‑in bet to incremental funding
Behind the scenes, Nvidia’s own framing of the deal has shifted from a single, monolithic bet to a more incremental approach. As part of the original letter of intent signed in September, Nvidia said it planned to invest as much as $100 billion in OpenAI to support new data centers and AI infrastructure, but more recent comments from executives emphasize participation in OpenAI’s current funding round rather than a one‑shot megadeal. One summary of those remarks notes that Nvidia Corp Chief Executive Officer Jensen Huang said the company will participate in OpenAI’s latest fundraising and that this may be the largest such investment Nvidia has made, but he stopped short of reaffirming the full $100 billion figure, as captured in a briefing where Nvidia Corp and Chief Executive Officer Jensen Huang described the evolving plan.
Other reporting goes further, describing how Nvidia has effectively paused its all‑in commitment while leaving the door open to smaller, staged investments. One analysis explains that Smaller‑scale investments could proceed as OpenAI closes its $100 billion round, with Nvidia likely participating to preserve its strategic position without locking itself into the full headline amount. That same account notes that internal concerns at Nvidia about concentration risk and governance have pushed the company to favor flexibility over a single massive check, with Smaller Nvidia commitments now seen as more realistic than a single $100 billion pledge.
Internal doubts, booming revenue, and why “doomed” is relative
Part of what makes the original megadeal look untenable is the combination of internal skepticism at Nvidia and the rapid growth of OpenAI’s own revenue base. One report describes how Nvidia’s $100 Billion OpenAI Investment Plan reportedly hit a snag amid internal concerns, even as OpenAI Revenue Surges Past $20 Billion in annualized run rate, suggesting that OpenAI may be less dependent on a single strategic investor than it appeared when the memorandum was signed. That same account notes that Earlier this month, OpenAI disclosed that its annualized revenue run rate topped $20 billion, a figure that strengthens its hand in negotiations and makes it easier to diversify funding sources, as detailed in coverage that highlights how Revenue Surges Past that Billion mark Earlier in the year.
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This article was researched with the help of AI, with editors refining and creating the final content.
Grant Mercer covers market dynamics, business trends, and the economic forces driving growth across industries. His analysis connects macro movements with real-world implications for investors, entrepreneurs, and professionals. Through his work at The Daily Overview, Grant helps readers understand how markets function and where opportunities may emerge.
