Powering AI is an architecture problem

AI data centers require massive amounts of electricity, often measured in gigawatts (GW), to power their high-performance computing hardware.

For example, a single transmission line fault in Ashburn, Virginia—a major hub for data centers—suddenly removed over 3 GW of load from the grid in seconds in 2026.

Two years earlier, a single failed component caused 1,500 megawatts (MW) to drop across 60 facilities.

These incidents were not due to a lack of power supply but because the grid's design cannot handle the sudden, synchronized power demands of AI data centers.

Traditional grids were built for predictable loads like factories or homes, which draw power smoothly and recover from disruptions gradually.

AI data centers, however, can change their power consumption by up to 70% in milliseconds during training runs or shut down instantly to protect equipment, creating unpredictable and extreme fluctuations that the grid was not designed to manage.