AI Data Centers Across the United States

Energy Consumption – High energy usage contributes to significant environmental impact and escalating costs for surrounding communities.
Water Usage – Cooling systems often require substantial water resources, straining local water supplies and ecosystems.
E-Waste – Frequent hardware upgrades and replacements generate significant volumes of electronic waste.
Location Risks – Natural disasters, flooding, or geopolitical instability can disrupt operations and impact local infrastructure.
Scalability & Efficiency – Growing demand strains local resources and infrastructure, often outpacing community planning capacity.<
Noise – Constant humming from cooling systems, generators, and substations can disrupt sleep, daily life, and wildlife in surrounding neighborhoods.
These challenges highlight the need for sustainable, secure, and efficient AI data center practices. If you would like to learn more, please follow our webpage and feel free to report any issues to me. Self-reporting is the best way we can get this information out to the public!
A map of major AI data centers in the U.S. that are either operational or under construction, overlaid with locations where community members have emailed in concerns. Click any marker for details….