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Policy & Regulation4 min read

Data & Society report finds rising opposition to AI data centers in US

A new report from the nonprofit Data & Society, based on 18 months of ethnographic fieldwork and interviews with 44 Pennsylvanians, examines why communities are pushing back against AI data‑center construction. Surveys cited in the piece show that more than 60% of Americans favor limiting new data centers, and the longest‑running surveys indicate that this sentiment is growing quickly. Data…

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Key points

  • Over 60% of Americans favor limiting new data centers, according to surveys.
  • Data Center Watch recorded $68 billion in data‑center projects disrupted in Q2 2026.
  • Data & Society’s report draws on interviews with 44 Pennsylvania residents over 18 months.

The report links the resistance to historic industrial trauma in Pennsylvania, noting that residents recall coal mining, steel manufacturing and fracking, which makes promises of an "inevitable" AI industrial revolution feel untrustworthy. While trade unions see potential jobs and have supported projects, the researchers say the opposition is diverse, including NIMBY concerns, environmental worries about water and emissions, and fears over power‑bill impacts. The Data Center Coalition, a trade group promoting projects, spent at least $19,000 lobbying the state last year. Governor Josh Shapiro, who highlighted $90 billion in data‑center and AI infrastructure investment at a 2025 summit, later signed an order adding new requirements and removing fast‑track status for such projects.

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Full story from TechCrunch AI · by Tim FernholzOpen source ↗

Everyone can find a reason to dislike data center construction

TechCrunch AI · 22 September 2026

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This text was published by TechCrunch AI and written by Tim Fernholz. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AmazonMetaMicrosoftData & SocietyData Center CoalitionLivia GarofaloMaia WoluchemJosh Shapiro

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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