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Legislative Lag & Oversight Deficits
AI data centers and training facilities operate under regulations designed for older technologies. These old rules do not adequately address AI-specific risks, including extreme energy and water use, large-scale chemical […]
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AI-Specific Water & Cooling Crisis
AI data centers require far more cooling than traditional computing facilities because AI chips generate extreme heat. To prevent equipment failure, companies are shifting from air cooling to water-intensive liquid […]
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AI Scale & Energy Effects
The rapid scaling of artificial intelligence models has significant implications for energy use, water consumption, and local infrastructure. AI data centers require vast computational power for both training and deployment, […]