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TRV-2026-0377Certified recordPeer-reviewed

Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method of Moments (SYS-GMM) and Dynamic Panel Threshold Models (DPTM) to analyze the complex interactions between AI development and key environmental metrics. The estimated coefficients of the benchmark model show that AI significantly reduc…

Climate · G Space — documented gain · certified 2026-07-20 · v1 · article view · machine-readable

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Panel analysis of 67 countries found AI development significantly reduces ecological footprints and carbon emissions while promoting energy transitions, with the largest effect on energy transitions.

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Truvace Impact Record TRV-2026-0377, v1: “Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI).” Truvace, 2026-07-20. /record/TRV-2026-0377 (accessed at citation time). sha256 6465a5275f8acb3e…

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