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US Voters Reject Data Center Measures in Sweep of Local Ballots

Voters across the United States rejected most local ballot measures involving data centers, putting proposed projects under sharper political scrutiny. On No...

By Alistair Sterling
November 4, 20262 min read
US Voters Reject Data Center Measures in Sweep of Local Ballots
US Voters Reject Data Center Measures in Sweep of Local Ballots

Voters across the United States rejected most local ballot measures involving data centers, putting proposed projects under sharper political scrutiny. On Nov. 3, 44 of 45 measures were classified as restricting or banning development, while just one favored allowing construction.

The votes concerned data centers broadly; the available results do not establish that voters were asked about AI specifically, or identify a survey measuring opposition. The distinction matters: ballot decisions can shape local approvals, but they do not by themselves show whether voters oppose artificial intelligence or particular facilities and their effects on communities.

Restrictions dominated local ballots

Ballotpedia counted about 50 data center-related measures nationwide this year, with 45 decided on Nov. 3. Twenty-one were in Ohio and eight in Maine. A separate count of measures across 13 states found opposition in 38 races, with six cities voting for outright bans and 12 setting limits on how much electricity data centers could draw.

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The counts differ in scope and status: one tally covered 45 measures decided on Election Day, while another included more than 40 races and reported results still accumulating. Together, they point to a broad setback for data center proposals, though they do not quantify national public opinion or explain what voters were asked about.

Nor do the ballot results identify whether concerns centered on power use, water, costs or other local impacts. The available details specifically note electricity limits, but do not provide a breakdown of voters’ reasons. Opposition to a facility should not automatically be read as opposition to AI itself.

Political stakes for the buildout

The results could make local approval more difficult for developers seeking to build infrastructure for AI and other uses. Communities that approve restrictions or bans can constrain projects directly; candidates’ positions may also carry political consequences. In Ohio, Democratic Senate candidate Sherrod Brown made data centers a prominent issue in his successful bid, describing his Republican opponent, Jon Husted, as their “face.”

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Texas offered a separate example of the political debate. Gov. Gregg Abbott, who had promoted the state as a hub for AI development, lost his bid for a fourth term. Texas has more than 300 operating data centers, with plans to double that number. Abbott had called the state “the epicenter of AI development” at a 2025 press conference with Google CEO Sundar Pichai and said it should lead the AI expansion.

As communities weigh future proposals, the election results put local limits and political support in focus. Abbott’s remarks captured the competing ambition behind the buildout: “Texas is the place where that can happen.”

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