Scientific Paper · source-verified

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate

Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford · 2025-06-23

This paper examines how AI has emerged as a contested force in climate discourse, with some championing its potential for renewable energy and emissions monitoring while others highlight its carbon footprint, water use, and e-waste. The authors apply the concept of Jevons' Paradox to AI, arguing that efficiency gains may paradoxically spur increased consumption and that understanding these second-order rebound effects requires combining lifecycle assessments with socio-economic analyses. The paper argues that AI's environmental trajectory depends on systemic governance choices rather than technical optimization alone.

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Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford. 2025-06-23. From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate. https://dl.acm.org/doi/10.1145/3715275.3732007 (AI & Environment Resource Hub; record paper-432; collection snapshot 2026-09-15).

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Available source metadata

Author or creator
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
Publisher
FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
Publication date
2025-06-23
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day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Cross-Cutting Sustainability
Legacy subdomain
Carbon Footprint of AI Models
journal
FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

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Source sheet: Scientific Paper · Row 436 · Original ID: paper-432.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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