NVIDIA shares surge 3.93% on Dec. 22 2025 driven by Blackwell architecture demand

Monday, Dec 22, 2025 6:03 am ET1min read
Aime RobotAime Summary

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shares rose 3.93% pre-market on Dec. 22, 2025, driven by $57B quarterly revenue from Blackwell architecture demand.

- Data center revenue surged 66% to $51.2B, with CUDA ecosystem and full-system sales reinforcing

dominance.

- Geopolitical AI initiatives in Japan/France/UAE create price-insensitive revenue floors, but $600B infrastructure-software gap remains a risk.

- Transition to inference revenue (10x token growth in 2025) highlights evolving AI deployment economics, though scalability will test valuation justifications.

NVIDIA shares surged 3.93% in pre-market trading on Dec. 22, 2025, building on record quarterly revenue of $57 billion driven by Blackwell architecture demand. The stock’s rise reflects sustained momentum in AI infrastructure adoption, with data center revenue hitting $51.2 billion, up 66% year-over-year.

The company’s dominance in AI infrastructure is reinforced by a 62% year-over-year revenue increase, despite skepticism over circular financing models and thermodynamic challenges in next-gen chip scaling. While competitors like AMD and internal silicon projects (e.g., Google’s TPU, Microsoft’s Maia) pose long-term threats, NVIDIA’s CUDA ecosystem and full-system sales (e.g., NVL72 racks) have deepened customer lock-in. A shift from training to inference revenue also signals evolving demand patterns, with token generation surging tenfold in late 2025.

Geopolitical factors further insulate

from short-term risks, as sovereign AI initiatives in Japan, France, and the UAE create a price-insensitive revenue floor. However, the $600 billion gap between infrastructure spending and software revenue remains a critical concern. Analysts caution that while current CapEx cycles support growth, long-term profitability hinges on commercial AI monetization or sustained geopolitical demand.

Investors closely monitor how NVIDIA navigates the transition from training to inference revenue, with token generation surging tenfold in late 2025. This shift suggests a broader transformation in how AI systems are deployed, with inference becoming more economically viable across industries. The company's ecosystem advantages—such as CUDA and full-system integration—remain key differentiators, but scalability of inference revenue will be crucial to justify current valuation multiples.

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