A Gallup survey released this month shows that 71% of U.S. adults oppose the construction of AI data centers near their homes [1].
This shift in public sentiment suggests a growing friction between the rapid expansion of artificial intelligence and local community acceptance. As tech companies seek more land and power for AI, they face a public that perceives these facilities as more disruptive than traditional heavy energy infrastructure.
In contrast to the opposition toward AI hubs, 53% of respondents said they oppose building nuclear power plants nearby [1]. This indicates a significant gap in the "not in my backyard" sentiment, with more Americans open to nuclear energy than to the facilities required to power modern AI models.
Respondents identified several drivers for their opposition to data centers. Approximately 50% of those opposed cited resource impacts, specifically water usage and strain on the power grid, as a primary concern [1]. Other common worries included the general fear of AI, as well as potential noise and water pollution [2, 3].
While environmental and resource concerns were prominent, not all land-use issues resonated with the public. The survey found that the loss of nature or farmland was a low-priority concern for those surveyed [2].
These findings highlight a paradox in the current energy transition. While nuclear power has historically faced steep public opposition due to safety fears, the immediate, tangible impacts of data centers—such as massive electricity and water consumption—now appear more daunting to the average citizen [1, 2].
“71% of respondents oppose building AI data centers near them”
The data suggests that the perceived 'invisible' risk of nuclear energy is now viewed more favorably than the 'visible' resource drain of AI infrastructure. As the AI industry scales, tech companies may face significant zoning and regulatory hurdles not from environmentalists alone, but from a general public concerned about the stability of their local power grids and water supplies.
