Nvidia’s Huang Rejects Reports of Stalled $100 Billion OpenAI Deal, Vows “Huge” Investment
Nvidia CEO Jensen Huang, speaking in Taipei on January 31, 2026, denied reports that a $100 billion OpenAI investment had stalled and reiterated Nvidia plans a “huge” future investment, potentially its largest ever, backing OpenAI’s compute needs.
- Nvidia reaffirmed participation — Jensen Huang said reports the deal had stalled were “nonsense” and that Nvidia will “definitely participate” in OpenAI’s funding round (TechCrunch).
- Original framework remains — In September 2025 Nvidia unveiled a non-binding plan to invest up to $100 billion tied to deploying 10 gigawatts of systems (Nvidia investor relations release).
- Negotiations under review — Some outlets reported a pause while Nvidia’s executives weighed scale and structure; the companies say they are still “actively working through the details” (MLQ.ai; TechCrunch).
Background: what was announced
In September 2025, Nvidia and OpenAI unveiled a strategic partnership and a non-binding letter of intent in which Nvidia would invest up to $100 billion over time, tied to deploying 10 gigawatts of Nvidia systems as compute for OpenAI’s models. The public plan outlined an initial phase coming online in late 2026 using the Vera Rubin platform and described Nvidia as a preferred compute and networking partner for OpenAI (Nvidia investor relations release).
Nvidia framed the move as essential to scaling AI models toward more advanced capabilities. OpenAI leaders, including Sam Altman and Greg Brockman, said the deal would supply the compute needed for continued growth and research. Nvidia’s filings also warned of risks tied to shifting markets, manufacturing limits, and economic uncertainty (Nvidia investor relations release).
The Wall Street Journal report and Huang’s pushback
On January 30, 2026, the Wall Street Journal reported the $100 billion plan had slowed, citing internal doubts at Nvidia and suggestions that the company might rethink terms toward a smaller equity investment in the tens of billions. That coverage said some executives questioned the scale and timing, and quoted private criticisms of OpenAI’s business discipline (TechCrunch summary).
“Nonsense,” Huang told reporters in Taipei, rejecting characterizations that the deal was stalled. He said Nvidia would “definitely participate” in OpenAI’s current fundraise and planned to “invest a great deal of money,” though he did not give a precise figure (TechCrunch).
Huang also privately warned associates about competition from Alphabet’s Google and Anthropic, a factor that sharpens Nvidia’s strategic calculus on where to deploy capital and capacity (TechCrunch).
OpenAI’s comment and the funding round
OpenAI said the companies are “actively working through the details” of their partnership and credited Nvidia for its role in past breakthroughs and future scaling. Reports indicate OpenAI’s current funding round is large and complex, drawing interest from multiple big investors, including cloud providers that also act as partners. Nvidia’s role would grant OpenAI direct access to critical chips and systems, a competitive edge as rivals race to build and host large models (TechCrunch; Nvidia investor relations release).
Negotiation pause and corporate caution
Other outlets reported Nvidia paused formal talks while executives weighed the ledger. One source explicitly said Nvidia halted negotiations amid internal concerns about committing $100 billion (MLQ.ai), consistent with the WSJ timeline indicating internal debate.
Nvidia’s disclosure language emphasized that the $100 billion framework was non-binding, leaving room for adjustment as technical, commercial, and risk-sharing terms are negotiated. That language reflects routine corporate caution for multi-year commitments dependent on future demand and supply constraints (Nvidia investor relations release).
Why this matters now
The Nvidia–OpenAI plans go beyond corporate finance: they influence where AI industry power and compute capacity concentrate. If Nvidia reserves significant capacity for OpenAI, that could provide sustained access to top chips — a clear advantage when compute is a gating factor for building larger, faster models.
Key concerns include:
- Market concentration: A single-company pathway to vast compute raises questions about competitive balance and potential market distortions (Nvidia investor relations release).
- Supply chain and national security: Heavy reliance on Nvidia’s manufacturing and global suppliers amplifies supply-chain and geopolitical risks.
- Regulatory scrutiny: Antitrust, export controls, and national security reviews are likely if large compute partnerships materially shift competitive dynamics (TechCrunch).
Implications for the United States
Economic impact: A major Nvidia investment could spur domestic spending on data centers, chips, and services — creating jobs and benefiting cloud providers — but may also crowd out smaller players if compute becomes concentrated (Nvidia investor relations release).
National security and supply chains: The deal underscores the need to diversify semiconductor supply lines and strengthen domestic manufacturing to avoid single points of failure.
Competition and market power: If Nvidia reserves capacity for OpenAI, rivals such as Google and Anthropic could face constraints, prompting calls for antitrust oversight and pro-competition policy (TechCrunch).
Innovation and consumers: Faster access to powerful models can accelerate products and services, but concentration of compute and talent might channel benefits unevenly.
Regulatory considerations: Expect attention from lawmakers and regulators on antitrust, national security reviews, and export controls related to advanced chips (Nvidia investor relations release).
What to watch next
- Will Nvidia specify a dollar amount or timeline after Huang’s public pushback? (TechCrunch).
- How will other potential investors — Microsoft, Amazon, SoftBank and others — position themselves in OpenAI’s funding round? (TechCrunch).
- Will regulators or lawmakers open formal reviews of large compute partnerships and their implications for competition and national security? (Nvidia investor relations release).
- How will rivals such as Google and Anthropic respond to a potential privileged supply of Nvidia systems? (TechCrunch).
Reporting for this article relied on Nvidia’s investor release and reporting summarized by TechCrunch, which in turn reported on Wall Street Journal coverage and other sources — Nvidia investor relations release; TechCrunch; MLQ.ai.
