Environmental activist Erin Brockovich has launched a crowdsourced online map tracking operational and planned AI data centers across the U.S. [1, 4].
The initiative aims to expose the environmental and societal footprints of the artificial intelligence boom. By allowing citizens to report local concerns, the project seeks to bring transparency to how tech giants site their infrastructure and the resources those facilities consume [1, 2].
Brockovich designed the platform to overlay the locations of these data centers with community-submitted grievances [1, 2]. This allows residents to document specific issues, such as water usage or energy demands, that may not be fully disclosed during the planning phases of these projects [3, 4].
The map functions as a public ledger for the rapid expansion of the AI industry [2]. It encourages Americans to provide help by identifying facilities in their areas and describing the impact on their local environment [6].
Data centers require significant amounts of electricity and water for cooling, which can strain local utilities and ecosystems [3]. Brockovich has spent her career advocating for communities facing industrial pollution, and this new tool applies that same scrutiny to the digital infrastructure supporting generative AI [1, 5].
The project targets the lack of centralized information regarding where these centers are located and how they affect the surrounding land [3, 4]. By aggregating this data, the activist hopes to empower local governments and citizens to challenge the unchecked growth of the industry [2, 3].
“The initiative aims to expose the environmental and societal footprints of the artificial intelligence boom.”
This move signals a shift in environmental activism toward the 'invisible' infrastructure of the digital age. While AI is often discussed as a software phenomenon, the physical requirements of data centers—specifically massive water and power consumption—create tangible ecological footprints. By crowdsourcing this data, Brockovich is attempting to create a grassroots regulatory pressure mechanism that bypasses corporate reporting and forces a public conversation on the sustainability of AI scaling.
