Approximately 70% to 71% of Americans oppose the construction of AI data centers in their local communities, according to a Gallup poll released this month [1, 2].

The findings suggest a significant gap between the rapid corporate expansion of artificial intelligence infrastructure and public acceptance. As tech companies seek vast amounts of land and power to fuel AI models, local residents are increasingly concerned about the physical footprint of these facilities.

Data from the survey indicates a high level of intensity regarding this opposition. About 48% of respondents said they are strongly opposed to having these centers in their neighborhoods [3]. The poll, which was released in mid-May 2026, reflects a nationwide sentiment across the U.S. [4, 5].

Respondents cited several primary reasons for their reluctance. Major concerns include the high levels of water and energy consumption required to cool and power the massive server arrays [6]. Many participants also pointed to environmental risks, and potential negative impacts on their overall quality of life [6].

While the tech industry often highlights the economic benefits of data center investment, such as job creation and tax revenue, the Gallup results show that these incentives may not outweigh local anxieties. The tension centers on the resource-heavy nature of AI training and inference, processes that require constant electricity and immense cooling systems, which can strain local utility grids and water tables.

The discrepancy in reported opposition rates—ranging from 70% [1] to 71% [2]—does not change the overall trend of strong public resistance. This sentiment persists despite the growing integration of AI tools into daily professional and personal life.

“Approximately 70% to 71% of Americans oppose the construction of AI data centers in their local communities”

This trend indicates a growing 'Not In My Backyard' (NIMBY) sentiment specifically targeting the AI boom. While there is general public interest in AI software, the physical requirements of the hardware—specifically energy and water—are creating a friction point that could slow the deployment of new infrastructure or force companies to move projects to less populated, more industrial regions.