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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, infrastructure, and supply chains that were never built for this level of load.
The new GEP paper explains why power readiness is now central to AI deployment timelines and returns, and what leaders must do as demand accelerates across the U.S. It outlines a unified strategy to navigate power constraints, infrastructure delays, and regulatory friction before they stall growth or strand capital.
What’s Inside:
- How time-to-power is reshaping investment and site selection
- Why the owner-operator power model is gaining traction
- A practical 24-month blueprint for achieving power readiness
For leaders looking to secure AI growth at scale, this paper is essential reading.