Data centers now drive over half of American electricity demand growth

Governor Greg Abbott stopped taking orders. On August 3, he directed the Public Utility Commission of Texas and ERCOT to audit every new data center seeking grid access, which froze approvals in the second-largest data center market in the country, according to the Texas Tribune on August 3.

Abbott called his state the epicenter of artificial intelligence and paused its growth because the wires could not be promised honestly. The pause sits on top of the number behind this story.

Grid Strategies' third annual load-growth study finds data centers driving roughly 90 gigawatts of the 166 gigawatts of expected new American peak demand, about 55 percent of it, as reported by the 2026 Grid Strategies load growth report and the Las Vegas Sun on August 22.

For two decades, American electricity use was flat, because efficiency savings canceled out population and economic growth. Data centers broke that pattern. The machinery of American power, which had spent twenty years planning for no growth, is being rebuilt around them.

Microsoft, Amazon, Alphabet and Meta want gigawatts delivered fast and priced low, because compute capacity is now their capital-spending race. The utilities, like Georgia Power and the Texas municipals, want those contracts because large loads spread their fixed costs and justify new plants, which grow their regulated earnings. The state regulators sit between them. David Lapp of the Maryland Office of People's Counsel stated at a county conference this month that the job is to make sure infrastructure built for data centers does not land on residential bills, according to Conduit Street, Maryland Association of Counties, August 19.

Texas was the trigger this month. The pressure underneath is older. A buildout of power plants, transmission lines and gas turbines has been sized for a demand curve that only exists if the AI spending keeps flowing. Reuters reported on August 11 that the EIA projects American power consumption setting consecutive records in 2026 and 2027, driven by data centers and electrification. But the EIA's Short-Term Energy Outlook from August 2026 also cut the Texas demand forecast sharply because of the pause there, expecting roughly six percent load growth in 2027 instead of the fourteen percent projected before. The forecasts move with the announcements. The turbines are ordered years ahead of either.

The default of 1983

The history that fits is the Washington Public Power Supply System. In the late 1970s, five regional utilities signed take-or-pay contracts for five nuclear plants, meaning they owed the full cost whether or not they ever needed or used the power, on the faith that Northwest electricity demand would double by 1990. It did not. In 1983, WPPSS defaulted on $2.25 billion of municipal bonds, then the largest default in American history, and the utilities turned to the courts to collect the shortfall from their own customers. Whoever signs first for capacity that may not be needed decides who eats the loss.

The counterexample argues the other way. This buildout has real customers with real money, not just forecasts. The hyperscalers are funding their own generation, signing power purchase agreements, and in some regions paying special tariffs designed to insulate households. Energy + Environmental Economics, in a study published in May 2026, argued that blaming data centers for rising bills does not survive regulatory arithmetic, because large flat loads can dilute fixed costs rather than concentrate them. Whether that holds depends entirely on the tariff design, which is exactly what regulators are fighting over.

And they are fighting. The Macon Telegraph reported on July 10 that the Georgia Public Service Commission voted unanimously in July to investigate whether Georgia Power's largest industrial customers, including data centers, are shifting fuel costs onto residential ratepayers. The Current reported on August 13 that the same commission is reviewing a contract between Georgia Power and OpenAI for a proposed twenty-billion-dollar data center in Effingham County, with the utility taking an extension into mid-August after staff raised objections. In Virginia's Henrico County, Inc. reported in 2026 that electricity rates rose nearly 25 percent starting July 1, adding about five million dollars a year across county government and school budgets, forcing schools to dim lights while thirty-seven data centers operate nearby.

If regulators write strong large-load tariffs, the data centers pay for their own plants and transmission, utility shareholders absorb less risk, and household bills stabilize; the AI buildout slows at the margin but survives. If they do not, utilities finance plants against contracts with counterparties whose own revenue depends on AI demand holding up, and the risk migrates quietly to the people least able to carry it. Politicians have already noticed. Bloomberg reported in February 2026 that electric bills are becoming a midterm issue from Pennsylvania to Michigan. Pew Research Center found in January 2026 that nearly forty percent of adults blame data centers for higher utility bills.

Who holds the option

The Georgia PSC's cost-allocation investigation will produce findings on whether large loads do or do not cover incremental costs, and more states may follow Texas in auditing interconnection requests before approval. Wholesale power prices staying flat through the 2027 summer peak while residential rates also flatten would mean the buildout genuinely pays for itself and the backlash dissolves.

The hyperscalers hold an option on cheap power and can walk away if AI economics disappoint. Regulated utilities cannot walk away from a turbine once poured.

Unless every state writes the Georgia question—who pays for capacity built on speculative demand—into law before the concrete sets, the answer will arrive the old way: on the bill. EIA's August 2026 Short-Term Energy Outlook provided the adjusted Texas demand forecast.