US voters back AI and data center limits in post-election shift

Donald Trump’s rapid American AI buildout is facing a major slowdown after voters overwhelmingly supported candidates and measures favoring increased restrictions on AI and data centers nationwide.

• Out of 44 measures across 10 states seeking to restrict data centers, 38 have passed.
• Democratic challenger Gina Hinojosa's win in Texas puts roughly 13 gigawatts of data center capacity at risk.
• Democrats also won gubernatorial races in Arizona, Georgia, and Ohio, threatening future projects.

Infrastructure slowdown in key tech states

Texas, the epicenter of the AI boom expected to account for over 41 percent of added data center capacity in 2028, faces severe delays. Governor-elect Gina Hinojosa plans to delay projects to pass laws tackling impacts on water, electricity, and air. Analysts warn that projects lacking state environmental permits could slip 12 to 18 months, exposing about 13 gigawatts of capacity.

Similar political shifts occurred in Arizona, Georgia, and Ohio, leaving nearly half of US data centers more vulnerable to increased scrutiny, stricter zoning rules, and higher compliance costs for grid infrastructure and water usage.

Industry denial versus voter mandate

Tech industry insiders downplay the electoral backlash. Adam Kovacevich, CEO of Chamber of Progress, suggested the results reflect an anti-Trump wave and economic frustrations rather than an anti-tech mandate, stating that voters wanted economic change rather than a crackdown on innovation.

Conversely, civil rights advocates argue this was the first true AI election. Polling data shows that three in four voters oppose data centers and over half viewed AI and data centers as a crucial factor, reflecting a genuine public demand to regulate unchecked artificial intelligence.

Implications for the global AI race

Slowing down the US AI infrastructure buildout could hinder frontier AI development and set the nation back in the global technology race. Financial analysts warn that delays could potentially benefit competitors like China while increasing financial pressures on tech firms whose AI investments are still struggling to pay off.