NextFin News - Nvidia Corporation shares experienced a notable decline in premarket activity on Monday, February 2, 2026, following clarifying remarks from CEO Jensen Huang regarding the company’s massive proposed investment in OpenAI. Speaking to reporters in Taipei, Huang emphasized that the widely reported $100 billion figure, originally outlined in a September 2025 letter of intent, was never a binding commitment but rather a maximum investment ceiling that the company intends to approach incrementally on a case-by-case basis.
As of 4:48 AM EST, Nvidia shares were trading at $187.74, down $3.39 or 1.77% from the previous close of $191.13. The market reaction followed a weekend of speculation fueled by reports from The Wall Street Journal suggesting that internal skepticism at Nvidia had stalled the megadeal. Huang pushed back against claims of friction, describing reports of a rift as "nonsense" and affirming that Nvidia would "definitely participate" in OpenAI’s upcoming funding round, though he declined to specify the exact amount. According to The Straits Times, the original plan involved supporting OpenAI’s expansion of AI data centers with at least 10 gigawatts of power capacity—equivalent to the peak demand of New York City—all powered by Nvidia’s advanced silicon.
The downward pressure on Nvidia’s stock reflects a growing analytical scrutiny of the "vendor financing" model that has come to define the current phase of the AI boom. Under this structure, Nvidia provides capital to its largest customers, who then use those funds to purchase Nvidia’s own chips. While this accelerates the deployment of AI infrastructure, it creates a circular financial loop that critics argue may artificially inflate demand and increase Nvidia’s exposure to the operational risks of a single partner. Analysts at Allspring Global Investments noted that Huang’s comments served as a catalyst for profit-taking, particularly among investors concerned about the concentration of risk within the AI ecosystem.
From a strategic perspective, Huang’s pivot to a "one step at a time" approach suggests a tactical recalibration. By moving away from a monolithic $100 billion commitment, Nvidia preserves its capital flexibility and mitigates the risk of becoming over-dependent on OpenAI at a time when competitors like Google and Anthropic are gaining ground. This measured deployment of capital is also a response to the shifting political and regulatory landscape under U.S. President Trump, whose administration has emphasized domestic infrastructure resilience and scrutinized large-scale corporate entanglements that could impact market competition.
The ripple effects of Huang’s clarification extended far beyond Wall Street. In South Korea, the Kospi index plunged as much as 5.5% on February 2, as investors sold off shares of major memory chip suppliers like Samsung Electronics and SK Hynix. These companies have seen their valuations soar since 2025 due to their role in the Nvidia-led supply chain. The sudden reassessment of Nvidia’s investment pace suggests that the broader market is beginning to price in a transition from the "hyper-growth at any cost" phase of AI to a more disciplined, ROI-focused era.
Despite the premarket dip, Nvidia’s fundamental outlook remains formidable. The company currently holds a market capitalization of approximately $4.653 trillion and continues to receive "Strong Buy" ratings from a majority of analysts, with average price targets exceeding $250. However, the shift in rhetoric from Taipei indicates that even the world’s most valuable chipmaker must now navigate the complexities of market saturation and the financial sustainability of its partners. As OpenAI prepares for a potential stock market listing later in 2026, Nvidia’s decision to invest incrementally suggests a preference for maintaining a diversified customer base over a singular, high-stakes alliance.
Looking forward, the industry is likely to see a trend toward smaller, more strategic equity stakes rather than the headline-grabbing megadeals of late 2025. Nvidia’s recent $2 billion investment in cloud AI specialist CoreWeave further illustrates this strategy of supporting a broad ecosystem of providers. For investors, the key metric will no longer be the size of the investment commitment, but the efficiency with which that capital is converted into sustainable, long-term chip demand. As the AI infrastructure build-out enters its next phase, the focus will shift from raw capacity to the business discipline of the firms utilizing that power.
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