ENVENV-003 — Resource Allocation Imbalances
AI Training and Data Infrastructure Drives Unsustainable Energy Consumption
3/5Sector: EnergyGeography: GlobalStage: DevelopIngested: —
Executive Summary
Large-scale AI operations, including data collection, storage, and model training, impose significant and growing energy demands with measurable environmental consequences. Boards face regulatory exposure and reputational risk as scrutiny of corporate carbon footprints intensifies across the energy sector.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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