AI Data Centers Drive Surge in North American Power Demand

The North American electric grid is facing unprecedented strain as the rapid expansion of AI data centers drives a surge in electricity demand. The North American Electric Reliability Corporation (NERC) reports that keeping pace with this growth will require an additional 200 gigawatts of electricity over the next five to seven years, ending a 15-year period of flat growth. Electricity consumption is now increasing by nearly 2% annually.

Global projections indicate a similar trajectory, with the International Energy Agency estimating that electricity demand from AI-dedicated data centers will triple by 2030. In the United States, Goldman Sachs Research predicts data center power demand will rise from 31 gigawatts in 2025 to 66 gigawatts by 2027. McKinsey estimates that AI-ready capacity will grow 33% annually through 2030, necessitating roughly $6.7 trillion in global infrastructure investment.

Infrastructure challenges include severe regulatory bottlenecks and interconnection queues that can delay new power plants by a decade. These constraints are prompting some AI companies to consider building independent power supplies and pushing enterprises toward energy-aware inference, which favors smaller, task-specific models over large general-purpose ones to reduce energy footprints. While some politicians blame data centers for rising electricity prices, research from the University of Pennsylvania’s Wharton School suggests that aging infrastructure, fuel costs, and extreme weather are the primary drivers.