
Lake Tahoe power crunch shows AI’s growing energy toll in West
News ClipThe Mercury News·South Lake Tahoe, El Dorado County, CA·5/13/2026
The AI boom is straining the Lake Tahoe region's power market due to energy-hungry data centers in Nevada, leading to a 77% surge in electricity costs for California-side residents. The local utility, Liberty Utilities, is set to lose its primary power supplier and must find a new one in a competitive market, causing alarm among residents and prompting calls for regulatory action.
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Gov: California Public Utilities Commission, South Lake Tahoe City Council
The artificial intelligence boom is significantly impacting Lake Tahoe's power market, causing electricity costs for approximately 50,000 customers on the California side of the lake to surge by about 77% since late 2022. This strain is attributed to energy-intensive data centers located across the border in Nevada.
The situation is expected to worsen as Liberty Utilities, the primary electric provider for the region, is slated to lose its main power supplier, NV Energy (owned by Berkshire Hathaway Inc.), by May 2027. NV Energy states this transition was planned, stemming from Liberty's 2011 acquisition of NV Energy's California assets. However, the timing coincides with accelerating data center development and intensifying competition for power, making Liberty's search for a new supplier in an "extremely competitive" market particularly challenging.
Local businesses and residents, like Sean Mullin, owner of Yellow Submarine shop, and Darin Pepin of Pep's Place, are experiencing immediate pressure from rising utility bills, forcing them to increase prices and raising fears that locals will be priced out. South Lake Tahoe Mayor Cody Bass and City Councilman Scott Robbins have voiced concerns, with the city urging California regulators to require more transparency in Liberty's expedited search for a new supplier. The Sierra Business Council also warns that more communities nationwide could face similar pressures from data center demand on constrained power grids.