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NVIDIA-OpenAI $100B Deal Stalled: What Happened and Why It Matters
Home/Blog/AI Business
AI Business10 min read• 2026-02-04

NVIDIA-OpenAI $100B Deal Stalled: What Happened and Why It Matters

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AI TL;DR

NVIDIA's plan to invest up to $100 billion in OpenAI has reportedly hit obstacles. Jensen Huang called the original agreement 'non-binding.' Here's the full story behind the AI industry's biggest deal that wasn't.

NVIDIA-OpenAI $100B Deal Stalled: What Happened and Why It Matters

In September 2025, NVIDIA and OpenAI announced what would have been the largest investment in AI history: a plan for NVIDIA to invest up to $100 billion in OpenAI's infrastructure, contingent on deploying 10 gigawatts of NVIDIA computing power. Six months later, the deal appears to be on ice.

The Original Agreement

The partnership was structured as a milestone-based investment:

MilestoneNVIDIA InvestmentCompute Capacity
Phase 1$10 billion1 gigawatt
Phase 2$20 billion3 gigawatts
Phase 3$30 billion6 gigawatts
Phase 4$40 billion10 gigawatts
Total$100 billion10 gigawatts
┌────────────────────────────────────────────────────────────────────┐
│                    ORIGINAL DEAL STRUCTURE                          │
├────────────────────────────────────────────────────────────────────┤
│                                                                    │
│   NVIDIA ──────────────────────────────────────────────▶ OpenAI   │
│          $100B investment (over ~4 years)                          │
│                                                                    │
│   OpenAI ──────────────────────────────────────────────▶ NVIDIA   │
│          10 GW compute deployment (Vera Rubin platform)            │
│                                                                    │
│   TIMELINE:                                                        │
│   ┌────────┬────────┬────────┬────────┬────────┐                  │
│   │Q4 2025 │Q2 2026 │Q4 2026 │Q2 2027 │Q4 2027 │                  │
│   │Announce│ 1 GW   │ 3 GW   │ 6 GW   │ 10 GW  │                  │
│   │        │ $10B   │ $30B   │ $60B   │ $100B  │                  │
│   └────────┴────────┴────────┴────────┴────────┘                  │
│                                                                    │
└────────────────────────────────────────────────────────────────────┘

The first gigawatt was targeted for deployment in H2 2026, utilizing NVIDIA's next-generation Vera Rubin platform.

What Went Wrong?

Multiple sources indicate the deal has "stalled" or been put "on ice." Key factors include:

1. Jensen Huang's Stated Concerns

In late January 2026, NVIDIA CEO Jensen Huang made several revealing comments:

"The $100 billion figure was never a commitment. It was an invitation to invest up to that amount. We'll evaluate funding rounds one step at a time."

"We have concerns about OpenAI's business discipline and the increasing competition they face from Google, Anthropic, and others."

2. The Agreement Was Non-Binding

The original announcement was characterized as a letter of intent, not a binding contract:

AspectWhat Was AnnouncedReality
Investment"$100 billion""Up to $100 billion"
CommitmentImplied firmNon-binding LOI
TimelineSpecific milestones"Subject to evaluation"

3. OpenAI's Chip Diversification

Adding complexity, OpenAI has been actively reducing reliance on NVIDIA:

  • 2025: Internal chip development program accelerated
  • 2025: Explored partnerships with AMD and custom silicon vendors
  • 2026: Reports of dissatisfaction with NVIDIA's inference chips

"OpenAI has been frustrated with some of NVIDIA's latest chips for inference tasks and has been exploring alternatives since 2025." — Investing.com, January 2026

4. Competition Concerns

NVIDIA's AI exposure is increasingly distributed:

CustomerEstimated 2025 AI SpendNVIDIA Share
Microsoft$15B+~80%
Google$12B+~60%
Amazon$10B+~70%
Meta$8B+~85%
OpenAI (via Azure)$5B+~95%

Jensen Huang may hesitate to concentrate risk on a single customer facing intensifying competition.

What Happens Now?

NVIDIA's Official Position

Despite the stall, Huang has emphasized continued commitment:

"We will still make a huge investment in OpenAI—possibly our largest ever. But we're approaching this one round at a time rather than committing to a 10-year megadeal."

Likely Outcomes

ScenarioProbabilityInvestment Amount
Smaller equity investmentHigh$10-30 billion
Original $100B deal revivedLow$100 billion
No investment at allVery Low$0

The consensus view: NVIDIA will invest significantly, but in the $10-30 billion range rather than the headline $100 billion.

Why This Matters for the AI Industry

1. Infrastructure Bottleneck Persists

The global AI compute shortage was expected to ease with deals like this. If the $100B investment doesn't happen, the shortage continues longer.

2. Competitor Dynamics

Other AI companies view this as an opportunity:

  • Anthropic: Already diversified across NVIDIA, Google TPUs, and custom chips
  • Google: Self-sufficient with TPUs
  • xAI: Building independent infrastructure with Memphis data center

3. Chip Market Impacts

NVIDIA's stock dropped briefly on the news (though recovered). Long-term implications:

ImpactDirectionMagnitude
NVIDIA revenue guidanceSlightly negative1-2% reduction
AMD opportunityPositiveIncreased OpenAI discussions
Custom chip marketPositiveAccelerated development

The Bigger Picture: AI Industry Consolidation

This deal failure (or reduction) reflects broader tensions:

Supply vs. Demand Mismatch

  • NVIDIA: Wants committed, long-term customers
  • AI Labs: Want flexibility, lower costs, and independence
  • Result: Neither fully trusts the other

The Partnership Paradox

┌─────────────────────────────────────────────────────────────────┐
│                    THE AI INDUSTRY PARADOX                       │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   OpenAI needs NVIDIA chips ────────▶ Dependency risk           │
│                                                                 │
│   NVIDIA needs OpenAI revenue ──────▶ Concentration risk        │
│                                                                 │
│   Both want to reduce dependency ───▶ But need each other       │
│                                                                 │
│   Result: Cautious, step-by-step deals rather than megadeals   │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

Expert Reactions

Morgan Stanley Analyst:

"The original $100B target was always aspirational. We expect a final investment in the $15-25B range, which is still transformative for both companies."

AI Industry Consultant:

"Jensen is right to be cautious. The AI market is evolving too quickly for decade-long commitments. What if OpenAI loses market share to Claude or Gemini? NVIDIA would be exposed."

OpenAI Insider (anonymous):

"We're not dependent on any single deal. Our Microsoft partnership provides the infrastructure we need. NVIDIA's investment would be helpful, not essential."

What to Watch

Near-Term (Q1-Q2 2026)

  • OpenAI's next funding round (expected $10B+)
  • NVIDIA's participation (confirmed, amount TBD)
  • Any OpenAI-AMD announcements

Medium-Term (2026-2027)

  • Vera Rubin platform deployment
  • OpenAI's custom chip progress
  • Competitive dynamics between GPT-6 and Claude 5

Conclusion

The NVIDIA-OpenAI $100 billion deal represents the challenges of mega-partnerships in a rapidly evolving industry. Both parties have legitimate concerns:

  • NVIDIA fears overexposure to a single customer
  • OpenAI fears chip vendor dependency

The likely outcome—a smaller, more flexible investment—may actually be healthier for both companies and the industry. Megadeals sound impressive, but adaptability matters more in a market changing this quickly.


Related Reading

  • Multi-Agent AI Systems Explained 2026
  • The Rise of Agentic AI 2026

What do you think about the future of AI infrastructure partnerships? Share your thoughts below.

Tags

#NVIDIA#OpenAI#AI Investment#Jensen Huang#Sam Altman#AI Industry

Table of Contents

The Original AgreementWhat Went Wrong?What Happens Now?Why This Matters for the AI IndustryThe Bigger Picture: AI Industry ConsolidationExpert ReactionsWhat to WatchConclusionRelated Reading

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Written by PromptGalaxy Team.

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