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Trump Urges Data-Center Operators to Pay “Dividends” to Host Communities
By Drooid · · How we work
Trump Calls for Community Dividends to Boost Data-Center Acceptance
On October 21, 2026, President Donald Trump posted on Truth Social that companies building large AI data centers should strike financial agreements with the towns that host them. He argued that a “dividend” paid to a community—or directly to its residents—can turn projects that are “highly unpopular” into “extremely popular” developments. Trump also reiterated a policy that new data centers must generate their own electricity and sell any excess back to the local grid.
Background: AI Data-Center Boom and Political Backlash
The United States is witnessing a rapid expansion of AI-driven data-center capacity. The U.S. Department of Commerce projects roughly a 9 % annual increase in facilities through 2030, and analysts at Investing Live estimate AI-infrastructure spending will exceed $10 trillion between 2025 and 2032.
A Gallup poll cited in an Anadolu Agency report found 71 % of Americans oppose new data-center siting because of fears of higher utility bills. An AP-NORC poll reported 53 % of respondents are “extremely or very concerned” about AI’s environmental impact. Lawrence Berkeley National Laboratory warns that data centers could consume up to 11.8 % of U.S. electricity by 2030.
Data Center Watch tracked at least 75 projects—worth about $130 billion—blocked or delayed in the first three months of 2026. In 2026, more than 1,000 communities filed moratoria requests or zoning caps, and 47 large-scale projects were delayed, according to Investing Live.
Official Statements & Responses
President Trump framed the dividend idea as a pragmatic solution to “backlash over rising energy costs” and linked it to his AI-competitiveness agenda. He also reaffirmed his “Ratepayer Protection Pledge,” obligating technology firms to cover all power-generation and transmission expenses for their facilities.
Industry leaders have shown tentative interest. Marc Boroditsky, chief revenue officer of Nebius, told CNBC the company is “100 % in principle” exploring ways to funnel benefits directly to host communities. Digital Realty announced a $20 million investment in De Soto, Kansas, offering residents $1,000 in tax credits for ten years. The Lancaster AI Hub in Pennsylvania secured a Community Benefits Agreement that includes two $10 million funds for economic and sustainable-development projects.
Criticism & Opposition
- Erik Nordman, Michigan State University, warned that “we’re talking about building electric infrastructure on a scale of entire cities… just to serve one data center.”
- Senator Bernie Sanders has proposed an AI sovereign-wealth fund that would make direct payments to Americans, echoing the dividend concept but as a national redistribution.
On-the-Ground Reports
In Hazle, Pennsylvania, a developer offered each household $10,000 to secure approval for a new AI data center; residents rejected the offer as a bribe. In Texas, Governor Greg Abbott negotiated a “Community Benefits Agreement” with Meta that includes paying for local electrical infrastructure and water reuse, though critics say the deal lacks binding enforcement. The Lancaster AI Hub’s agreement includes a $250,000 planning fund and a $10 million credit line to protect the city against environmental defaults.
Conflicting Reports & Gaps
Sources differ on the effectiveness of Community Benefits Agreements. Investing Live notes some projects become “extremely popular” after such deals, while the Anadolu Agency report says similar agreements have not consistently shifted public opinion. No comprehensive study has yet measured the long-term economic impact of dividend payments on host communities.
What’s Next
The dividend proposal enters the national conversation weeks before the November 3 midterm elections, where data-center siting is a salient issue for candidates. Analysts expect the election outcome could determine whether federal guidance on community dividends and self-generated power becomes formal policy.
