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From Efficiency Gains t o Rebound Effects: The Problem of Jevons’ Paradox in Al’s Polarized Environmental Debate ALEXANDRA SASHA LUCCIONI, Huggnig Face, Canada EMMA STRUBELL, Carnegie Mellon University, USA KATE CRAWFORD, Microsoft Research; University of Southern California, USA As the climate crisis deepens, artificial intelligence (Al) has emerged as a contested force: some champion its potential to advance meworns,n ic o u aseived oa n e p r atourm m a i td a p ng. Yet we cannot simply hope for the best outcome. The ‹ a a l٠. 1 policymaking, and broader social and cultural norms. We contend that a narrow focus on direct emissions misrepresents Al’s true climate footprint, limiting the scope for meaningful interventions. We conclude with recommendations that address rebound effects and challenge the market-driven imperatives fueling uncontrolled Al growth. By broadening the analysis to include both direct and indirect consequences, we aim to inform a more comprehensive, evidence-based dialogue on Al’s role in the climate crisis. Additional Key Words and Phrases: Artificial intelligence, Environmental Impacts, Lifecycle Assessment, Rebound Effects, Sustain- ability 1 Introduction

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