Photo by Numan Ali on Unsplash. Source: https://unsplash.com/photos/ai-letters-on-circuit-board-llNtovr7ctk (Unsplash License).

The AI buildout now waits on the grid, not on demand. A site can be permitted and poured long before it can be energized, and much of the world cannot deliver the power these designs assume. Capacity is the constraint that decides where AI gets built next, and it rewards the operators who lined up supply years ago.

  • In parts of the US, a project can wait five years just to connect to the grid.
  • AI workloads run around the clock and do not shed load at peak.
  • That makes it a bad match for a system built for slow, predictable growth.

Full breakdown. AI Data Centers Are Running Out of Power Before They Run Out of Demand

Data center power is the other half of this story. The 2026 State of Enterprise Infrastructure report covers where the megawatts are going and why grid access gates new capacity.

By Ivan Tarin

Ivan Tarin is a Principal Product Marketing Manager at SUSE, where he owns go-to-market strategy and positioning for a seven-product cloud-native portfolio spanning Kubernetes, virtualization, storage, security, and observability. A former full-stack developer who shipped production code for enterprise and public-sector clients including U.S. national laboratories, Ivan translates complex infrastructure and AI technology into messaging that lands with developers, platform teams, and enterprise buyers. He has presented at KubeCon, SUSECON, and AWS Developer Week, and is currently pursuing an MS in Artificial Intelligence at the University of Colorado Boulder.

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