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Rising power use from AI data centers is straining the US grid, but it is also pushing utilities and startups to modernize equipment and manage demand.
In short: More AI data centers are increasing electricity demand in the US, and some industry leaders say that pressure is also speeding up power grid upgrades.
The rapid growth of AI has led companies to build more data centers, which are large buildings filled with computers that run online services and AI systems. These facilities use a lot of electricity, and that is adding stress to the US power grid, which many experts describe as old and already stretched.
Critics worry this could raise electric bills in the short term. They also worry that, over time, the extra strain could contribute to power outages or other reliability problems.
At the TechCrunch Disrupt event earlier this month, several executives and policy leaders argued there is another side to the story. They said the rush of new demand is pushing utilities, the companies that deliver electricity to homes and businesses, to update how they plan and run the grid.
One example is Weavegrid, a company working on software that helps utilities manage when and where power is used. Think of it like a traffic controller for electricity that tries to reduce bottlenecks during busy times.
Another example is Veir, which sells superconducting power lines. Superconducting means electricity can flow with far less energy wasted as heat, like water moving through a smoother pipe. Veir says its cables can move power farther while taking up less space than traditional lines, and it recently raised $110 million.
The key question is whether these upgrades happen fast enough to keep electricity reliable and affordable as AI data centers, electric vehicles, and home heating systems add more demand. Watch for new grid construction projects, utility partnerships with software providers, and faster approval for new power lines.
Source: TechCrunch AI