Gallup Poll: 71% Oppose Local AI Data Centers, Preferring Nuclear

Cover image from theregister.com, which was analyzed for this article
Residents and officials oppose AI data centers due to energy demands and environmental impact, preferring nuclear plants nearby. NIMBY sentiment rises amid tech boom. Polls show strong resistance.
PoliticalOS
Thursday, May 14, 2026 — Tech
The Gallup poll reveals consistent, cross-partisan resistance to new AI data centers driven primarily by resource and quality-of-life worries. Communities and developers must now reconcile the infrastructure demands of expanding AI with measurable local costs that residents are unwilling to accept without stronger safeguards or benefits.
What outlets missed
Most coverage omitted the poll's exact sample sizes and dates, which are necessary to assess margin of error. Few outlets supplied verified figures on net tax revenue after subsidies or long-term employment data from operating facilities. Coverage rarely noted that over one-third of Americans already live near existing nuclear plants, a factor that reduces opposition in those communities. Concrete instances of canceled projects totaling tens of billions were mentioned inconsistently and without independent confirmation of the dollar amounts.
Vast Majority of Americans Oppose AI Data Centers in Their Communities
A new Gallup survey has found that more than seven in ten Americans would oppose the construction of a data center near their homes, with the backlash cutting across party lines and raising fresh questions about the unchecked expansion of artificial intelligence infrastructure. The polling, conducted in March and April of this year, shows 71 percent of respondents against having such facilities in their area, while just 27 percent expressed support. Nearly half, or 48 percent, described themselves as strongly opposed.
Data centers, the sprawling facilities that power AI systems and cloud computing, require enormous amounts of electricity, water for cooling, and land. They often generate significant noise from fans and machinery, and some operators have installed gas turbines that release pollutants. Gallup found that half of those opposed cited strains on local resources as their primary concern, while others pointed to higher electricity bills, air and noise pollution, and effects on quality of life. Opposition ran highest among Democrats at 75 percent, followed closely by independents at 74 percent and Republicans at 63 percent.
The findings come as AI companies race to build out capacity, often with little regard for nearby residents. Projects tied to major players like Oracle and OpenAI have drawn scrutiny in places such as Saline, Michigan, where a multibillion-dollar complex is underway. Local resistance has already forced cancellations worth at least $156 billion in planned infrastructure, according to industry trackers, with more than 268 community groups now active in 37 states.
Residents have highlighted concrete harms. In some regions, data center demand has driven up power costs and prompted utilities to prioritize tech clients over households. Communities near facilities report constant humming from cooling systems and, in cases involving backup generators, visible emissions. Gallup noted that Americans now view data centers more negatively than nuclear power plants, with 71 percent opposing the former compared to 53 percent for the latter.
Support for new centers remains limited and often tied to promises of jobs, a rationale cited by 55 percent of backers in the survey. Yet the employment gains are frequently modest relative to the scale of investment and land use. Maine Governor Janet Mills recently vetoed a proposed moratorium on new construction, arguing for economic benefits, even as national sentiment tilts heavily the other way.
The poll underscores a growing disconnect between the priorities of big technology firms and the communities asked to host their operations. With organized pushback mounting and resource pressures intensifying, developers face mounting hurdles in siting future projects.
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