Who Pays for AI Data Centers?

Introduction

John Steinbach has lived in his Manassas, Virginia, home for nearly 40 years, and in January 2026 he opened an electricity bill for \$281, up from roughly \$100 the month before. "It's just so far beyond any bill that I've ever had," he told Consumer Reports. What worries him is where rates go next, as more AI data centers plug into the grid around him.

He has plenty of company. A March 2026 Gallup poll found that seven in 10 Americans oppose building AI data centers in their area, 48% of them strongly, with majorities opposed among Democrats, Republicans, and independents alike.

Local opposition disrupted about 120 projects in the first half of 2026, according to Data Center Watch, including at least 45 projects worth roughly \$68 billion stalled in the second quarter alone.

Around 379 US jurisdictions have adopted moratoriums or barred data centers outright. Indianapolis voted 23–1 in August to bar new construction through 2027, and Charlotte paused approvals for 150 days after a city survey found 78% opposition. Brookings reports that candidates in both parties now run ads against the facilities.

The fight is usually framed as whether data centers get built. The harder question underneath it is who pays and who decides. The costs land locally and soon. The benefits land regionally or nationally, and later. The rules for splitting them were written before AI-scale demand existed.

What follows looks at the contentious issue of data centers from three important angles: the strongest case from critics, the strongest case from industry, and where the evidence lands.

Why AI Changed the Math

Traditional cloud data centers were built around general-purpose servers whose load rises and falls with user traffic. AI clusters pack GPUs far more densely, throw off more heat per rack, and during training runs draw power around the clock. That changes what a single campus asks of the local grid and water system.