Erin Brockovich has turned her attention to AI infrastructure, launching a public map of US data centers built from community reports after receiving nearly 4,000 submissions in the first month of an April 2026 call for input. The map, which Brockovich describes as a work in progress on her website, plots data center sites against the concerns raised by residents living near them. The campaign zeroes in on a single complaint that outpaces every other: a lack of transparency around how these facilities get sited, permitted, and built.
Brockovich, the environmental activist whose case against Pacific Gas & Electric was dramatized in the 2000 film starring Julia Roberts, framed the project in a Substack post published May 31, 2026. She wrote that submissions touched on noise, water consumption, and rising utility bills, but that none of those issues came up more often than transparency itself. The map aggregates self-reported sites rather than an official registry, which is part of the point — Brockovich's argument is that no comprehensive public registry exists.
The nearly 4,000 first-month submissions arrived without paid promotion or a national press push, suggesting a deep reservoir of local frustration around hyperscale buildouts. Brockovich's site frames the data as community-sourced reporting on issues residents say they could not get answers to through official channels.
“The single most common concern — more than noise, more than water usage, more than rising utility bills — is the one word that keeps appearing in submission after submission: transparency”— Erin Brockovich, Environmental activist
Key facts
- 01Erin Brockovich received nearly 4,000 submissions in the first month after an April 2026 call for reports on data center impacts.
- 02She launched a public map of US data centers built from community-submitted reports, described as a work in progress.
- 03Brockovich said transparency — not noise, water use, or utility bills — was the most cited concern in submissions.
- 04The map documents permits secured before public notice, unreturned developer calls, and NDAs signed by local officials.
The timing lands in the middle of the largest data center construction wave on record. SoftBank said this week it would invest up to €75 billion to build data centers in France, a figure AI Chat Daily covered separately, and similar multi-gigawatt commitments have been announced across the United States. Local siting fights — over power draw, groundwater allocation, substation expansions, and rezoning — have multiplied in step with the capital flows.
Brockovich is careful to draw a line between opposition to AI and opposition to process. Her Substack post explicitly disclaims a blanket position against data centers or AI as a technology. Instead, she describes a recurring sequence the map is meant to document: permits secured before public notice, developers who do not return community calls, and local officials bound by non-disclosure agreements signed before constituents knew a project was being considered.
That pattern — NDAs in particular — has been a sticking point in multiple jurisdictions where county commissioners have acknowledged signing confidentiality agreements with developers identified only by code names during early site selection. The practice is legal in most US states, but it means residents often learn of a project only after the zoning vote is scheduled.
The industry's standard response is that NDAs protect competitive site-selection processes and that public hearings still occur before final approval. Operators also point to closed-loop cooling designs, which sharply reduce water consumption versus older evaporative systems, as evidence that the loudest concerns are out of date for new builds. Neither rebuttal addresses the procedural complaint Brockovich is raising, which is about timing and disclosure rather than engineering.
What the map does not do is verify the technical claims in each submission. A community report flagging water use, for example, may or may not reflect the cooling design of the specific facility involved. Brockovich's site presents the data as community reporting, not audited measurement, and the gap between the two will matter as the project scales.
The data center industry has so far engaged with environmental criticism mostly through corporate sustainability reports and project-specific impact statements. A 4,000-submission inbox in a single month, organized by a name with the public recognition Brockovich carries, is a different kind of pressure — one that operates at the permitting layer where most AI infrastructure decisions actually get made.
For AI companies and the hyperscalers building on their behalf, the practical implication is that the permitting environment is shifting faster than the public-affairs playbooks built for it. Projects that depend on speed-to-power — and most frontier-AI buildouts do — are also the projects most exposed to a procedural backlash that does not need to win on the science to slow a timeline by six or twelve months. The map itself is a small thing; the organizing infrastructure behind it is not.
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