ENVENV-003 — Resource Allocation Imbalances
Generative AI Training and Operation Drives Excess Carbon and Water Use
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large generative AI models consume substantial energy and water during both training and deployment, producing material environmental externalities. Boards face regulatory exposure and reputational risk if AI procurement and usage policies omit environmental impact assessments.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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