Trump Proposes Data Center Dividends and On-Site Power Generation to Ease Resistance

By AI123

U.S. President Donald Trump said on Truth Social on October 21 that data center companies should pay "dividends" to local communities or individuals in exchange for approval of their projects. He also called for new data centers to generate their own electricity and sell excess power back to, or provide it free to, local grids, arguing this would lower rather than raise electricity prices.

Trump wrote that he had been closely watching the process, adding that "a data center that is extremely unpopular in a region becomes extremely popular once a financial agreement is reached. Negotiate, and build." He said large and "extra-large" data centers should generate their own power and return surplus electricity to communities or the grid, so "there will be no price increases and there could actually be a substantial drop."

According to Reuters, technology giants including Alphabet, Microsoft, Meta and Amazon are spending billions of dollars to compete for dominance in AI infrastructure, with data centers at the core of this race. However, the administration's push to expand data centers has faced growing grassroots opposition, with voters across party lines citing surging electricity demand, high water consumption, ecological impacts and federal land use.

Data from the Western Priorities Center, cited by Reuters, shows at least 35 data center applications are pending, covering more than 24,000 acres of federal land across Arizona, Idaho, Nevada, Oregon, Utah and Wyoming. Bureau of Land Management records list at least 17 proposed data center campuses and 13 supporting infrastructure projects among them.

The remarks suggest the administration is shifting responsibility for resolving community conflicts back to companies, urging them to negotiate rather than rely on administrative mandates. For firms expanding data centers across the United States, future projects may require greater investment in community benefit-sharing mechanisms.

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