This technical report dismantles alarmist narratives about AI's environmental footprint, like the "500 mL per prompt" claim, by exposing outdated modeling and presenting verified engineering data. This report equips regulators with actionable policy recommendations grounded in empirical fact—not hype.
The AI Infrastructure Policy Report 2025
This technical report challenges exaggerated claims about AI’s water and power use—like the now-viral “500 mL per prompt” narrative—and replaces them with engineering-based facts. Drawing on real-world benchmarks from DOE, ASHRAE, and leading cloud operators, the report separates legacy assumptions from modern deployments and outlines clear policy recommendations for U.S. regulators.
Authored by Dr. Sophy M. Laughing with technical input from The Cobeal Group and Alden Technologies, Inc., the report is being submitted to the White House OSTP, DOE, DHS, EPA, DoD, FERC, NIST, and key congressional committees overseeing AI and infrastructure.
Recent headlines have painted artificial intelligence (AI) as an unsustainable "resource guzzler," citing sensational figures like "500 mL of water per ChatGPT prompt" or claims that AI data centers will soon rival countries in electricity use. These narratives have directly shaped public perception, driven calls for urgent regulation, and influenced policy debates across the U.S. and around the globe. Yet, the technical reality behind AI's environmental footprint is far more nuanced and is often misrepresented by advocacy groups, industry incumbents, and media outlets with vested interests. This white paper examines the most widely cited claims about AI's water and electricity consumption, using validated engineering fundamentals, the latest data center practices, and authoritative sources such as the American Society of Heating, Refrigeration and AirConditioning (ASHRAE) Handbook, International Energy Agency (IEA), and the Department of Energy (DOE).
Download the Full Technical Report: Includes engineering data, regulatory guidance, and policy recom (pdf)
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