ENVENV-003 — Resource Allocation Imbalances
AI Training Energy Consumption Drives Significant Carbon Emission Risk
4/5Sector: EnergyGeography: GlobalStage: DevelopIngested: —
Executive Summary
Large-scale AI model training consumes substantial energy, generating greenhouse emissions that may accelerate climate change at a catastrophic scale. Boards face growing regulatory, reputational, and fiduciary exposure as AI infrastructure carbon costs attract legislative scrutiny.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks (Chin2025) ↗https://airisk.mit.edu/
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