Texas is grappling with a surge in power demand driven by the rapid expansion of AI and Big Tech data centers, pushing its electric grid to the brink. The Electric Reliability Council of Texas (ERCOT), the state’s grid operator, warned regulators last week that power demand could quadruple by 2032, fueled by an influx of large-scale data center projects seeking grid connections.

The state is on track to surpass Virginia as the data center capital of the world by 2030, but this growth comes at a cost. ERCOT’s existing infrastructure, including power plants and transmission lines, lacks the capacity to meet this unprecedented demand. As a result, some data center developers are abandoning the grid entirely and constructing their own on-site power plants, primarily powered by natural gas.

Midwest Grids Also Under Pressure

Texas is not alone in facing this challenge. The Midcontinent Independent System Operator (MISO), which manages the grid for 15 states across the Midwest, South, and Mountain West, anticipates a 35% increase in power demand by 2035. This growth is concentrated in states like Michigan, Indiana, and Illinois, where major tech companies including Amazon, Google, Microsoft, Meta, OpenAI, and Oracle are building massive data centers.

ERCOT has concerns about the accuracy of its demand forecast and is seeking to consult with regulators to evaluate potential adjustments, according to a filing with the Public Utility Commission of Texas.

While the Midwest’s projected surge is significant, it pales in comparison to Texas’s forecast. The Lone Star State’s grid constraints have already caused delays of up to several years for data centers waiting to connect to the grid, prompting developers to explore alternative solutions.

Despite the challenges, it remains uncertain whether all proposed Texas data centers will be built. Funding shortages and regulatory hurdles could temper the projected demand spike. However, the trend underscores the growing strain on U.S. power infrastructure as tech giants accelerate their AI ambitions.