Observed Signal · Sep 18, 2026 · Policy Update · Source: CNBC Technology · Impact: 4/5 · Sentiment: Positive

AI Infrastructure Market: Anthropic and OpenAI pursue smaller data center capacity deals

Executive Signal Summary

Anthropic and OpenAI are reportedly exploring smaller data center capacity agreements, ranging from 20 to 30 MW, to accelerate deployment of AI workloads across the U.S., U.K., and Nordics. Sources told CNBC that both companies are seeking faster 'speed to usable capacity' from existing powered sites, as large-scale gigawatt projects face community and infrastructural pushback. The shift reflects a growing focus on inference workloads, which can be served by smaller clusters. OpenAI surpassed its Stargate commitment of 10 GW and is adding capacity in Georgia and Ohio, while Anthropic recently signed a $45 billion cloud deal with Nscale. Smaller deployments are seen as practical alternatives to large projects, allowing quicker deployment and flexibility.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

Major AI labs are shifting to smaller data center deals to accelerate deployment, signaling a significant trend in infrastructure strategy that impacts AI capacity and inference scaling across the industry.

Key Takeaways & Evidence Grounding

  • Anthropic and OpenAI are pursuing small-scale data center deals of 20-30 MW capacity.
  • Anthropic has explored agreements in the U.K. and Nordics, while OpenAI has eyed Nordic opportunities.
  • OpenAI announced it exceeded its 10 GW Stargate commitment and is adding 3 GW in Georgia and 8 GW in Ohio.
  • Anthropic signed a $45 billion cloud deal with Nscale for about 460 MW capacity in West Virginia.
  • Inference workloads are projected to use 37% of data center capacity by 2030, up from 9% in 2025.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: CNBC TechnologyPublished: Sep 18, 2026
Original Coverage Title: Anthropic and OpenAI hunt for smaller data center deals, sources tell CNBC, in race to deploy AI capacity

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