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AI Factories: The New Infrastructure of Intelligence

Performance per watt is the new competitive moat. As agentic AI scales, the economics of AI shift from model size to infrastructure efficiency.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A strategic shift in how enterprise AI economics are measured: as autonomous agents deploy at scale, power efficiency and cost-per-token become the primary drivers of competitive advantage, signaling a move away from model capability races toward infrastructure optimization.

The key facts

6 to know
  1. NVIDIA official strategic commentary on AI infrastructure

  2. Focus on agentic AI deployment economics

  3. Performance-per-watt framed as core business metric

  4. Cost-per-token as primary economic driver

  5. Enterprise deployment of autonomous, always-on agents

  6. Shift from raw model capability to infrastructure efficiency

Go to the source

NVIDIA Blogblogs.nvidia.com

Publisher excerpt: AI factories are token factories, converting power into intelligence in real time. And as agentic AI scales and autonomous, always-on special agents are deployed in the enterprise, performance per watt and cost per token become the economics that matter.
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