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AI Ethics
4d ago

Survey shows Americans prefer living near nuclear plants over AI data centers

May 15, 2026
AI Summary

A Gallup survey reveals that 71% of U.S. adults oppose AI data centers in their neighborhoods, while only 53% oppose nuclear power plants. The findings suggest a significant shift in public perception, with concerns about data centers stemming from their immediate impacts on local resources and quality of life.

Survey shows Americans prefer living near nuclear plants over AI data centers
  • A Gallup survey conducted in March found that 71% of U.S. adults oppose AI data centers in their local areas, with 48% strongly opposed and only 27% in favor.
  • In contrast, 53% of respondents opposed nuclear power plants, marking a 20-point difference in opposition levels.
  • Historically, opposition to nuclear power has not exceeded 63% since Gallup began asking the question in 2001.
  • The CEO of PADO AI, Wannie Park, attributes the high opposition to a lack of understanding about data centers and emphasizes the need for better education and communication about their benefits.
  • Data centers are associated with immediate local impacts such as increased noise, traffic, and utility costs, while nuclear power's risks are perceived as more abstract.
  • Nuclear energy is among the lowest-emission energy sources, while AI growth could lead to significant carbon emissions by 2030.
  • Data centers consumed an estimated 17 billion gallons of water in 2023, a figure that has tripled since 2014, and their electricity consumption is projected to rise from 4.4% of national use to 12% by 2028.
  • Moratoriums on data center construction have been enacted in 69 U.S. jurisdictions, but experts warn that such bans may only shift development elsewhere without addressing underlying demand.
  • Concerns from opponents include resource strain, quality of life issues, and pollution, with many citing a lack of clear communication from the industry.
ai fearspublic perceptiondata centersnuclear powerenvironmental concerns