NextFin News - A wave of uncertainty swept through the technology sector on Monday, February 2, 2026, as Nvidia CEO Jensen Huang dramatically reset expectations regarding the company’s high-profile partnership with OpenAI. Speaking to reporters in Taipei on Sunday, Huang clarified that the widely publicized $100 billion investment figure was "never a commitment," but rather a non-binding letter of intent describing an invitation to invest "up to" that amount. This revelation follows reports from The Wall Street Journal indicating that the megadeal, originally teased in September 2025, has effectively stalled due to internal skepticism at Nvidia regarding OpenAI’s business discipline and the rising competitive threat from rivals like Google and Anthropic.
The news sent Nvidia shares (NVDA) down approximately 2% in premarket trading on Monday, as investors grappled with the implications of a smaller-than-expected capital commitment. To stabilize market sentiment, Huang and OpenAI CEO Sam Altman have spent the last 48 hours in damage control mode. Huang characterized reports of friction as "nonsense," asserting that Nvidia still intends to make its "largest investment ever" in the AI startup, though he pointedly refused to attach a specific dollar value to the new plan. Meanwhile, Oracle Chairman Larry Ellison, a key infrastructure partner for both firms, has reportedly been working behind the scenes to reassure stakeholders that the underlying demand for AI data centers remains robust despite the shifting financial terms of the deal.
The cooling of the $100 billion hype represents a significant pivot from the optimism of late 2025. At that time, the deal was framed as a 10-gigawatt infrastructure pact that would secure Nvidia’s dominance for a decade. However, the transition to a "one step at a time" funding approach suggests that Nvidia is adopting a more cautious stance. Analysts note that a $100 billion check would have functioned as a massive balance-sheet anchor, essentially pre-financing OpenAI’s ability to buy Nvidia’s own chips. By walking this back, Huang is signaling that even a company with Nvidia’s cash reserves must be wary of the risks associated with "circular financing"—a practice where a vendor invests in its customers to artificially inflate demand for its products.
From a structural perspective, the friction highlights a growing divergence in the AI ecosystem. While OpenAI remains the primary driver of large language model (LLM) innovation, its burn rate is estimated to be in the billions annually. Huang’s private concerns about OpenAI’s "lack of discipline" likely stem from the startup's aggressive spending on compute power without a clear, immediate path to profitability that justifies a hundred-billion-dollar equity stake. Furthermore, the emergence of Anthropic and Google’s Gemini as viable enterprise alternatives has weakened OpenAI’s position as the sole "kingmaker" in the space, forcing Nvidia to diversify its strategic bets. Nvidia has already committed billions to other players, including CoreWeave and Anthropic, suggesting a shift toward a broader ecosystem play rather than a singular, massive bet on Altman’s vision.
Looking ahead, the market is likely to see a more fragmented investment landscape. While Nvidia will almost certainly remain a lead investor in OpenAI’s upcoming funding rounds, the total capital infusion is expected to be a fraction of the original $100 billion headline. This recalibration serves as a reality check for the broader AI industry, which has been fueled by astronomical valuation leaps and massive infrastructure promises. As U.S. President Trump’s administration continues to emphasize domestic tech leadership and energy independence for data centers, the pressure on these companies to deliver tangible returns on investment will only intensify. The "stalled" deal is not a sign of AI’s decline, but rather its maturation into a phase where financial rigor and competitive moats matter as much as raw compute power.
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