The Electron Barrier

AI isn’t hitting a digital limit. It’s hitting a physical one.

As data centers scale and AI workloads surge, the constraint isn’t technology. It’s power and supply chains never built for this level of load.

For utilities, it means accelerating grid expansion to serve a new demand class. For AI hyperscalers, it means making power strategy as important as compute strategy.

This GEP paper explains why power supply readiness is central to AI deployment timelines and returns. It outlines a unified strategy to manage supply constraints, infrastructure delays, and regulatory friction in the U.S.

What’s Inside:

• How time-to-power is shaping investment and site selection
• Why the owner-operator model is gaining traction
• A 24-month blueprint for power readiness

For leaders looking to scale infrastructure or secure power, this paper is essential reading.