ENVENV-003 — Resource Allocation Imbalances
AI Systems Drive Excessive Energy Consumption and Supply Shortfalls
3/5Sector: EnergyGeography: GlobalStage: OperateIngested: —
Executive Summary
Unconstrained AI and automation workloads consume disproportionate energy, creating bottlenecks that deprive communities and businesses of reliable supply. Boards face regulatory scrutiny and reputational risk if energy governance frameworks fail to account for AI infrastructure demand.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024) ↗https://airisk.mit.edu/
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