Artificial Intelligence and Environmental Sustainability: Investigating the AI‐EKC Nexus for SDG 7 and SDG 13

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AI significantly impacts energy demand and resource consumption, highlighting a complex environmental interplay.
The analysis spans 81 countries from 2000 to 2020, revealing variations based on income levels and resource dependence.
Using a composite AI index, the study applies panel techniques to evaluate long-run environmental associations across nations.
Improvements in energy efficiency emerge in high-income economies as AI adoption deepens, demanding differentiated governance strategies.

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Analysis reveals nonlinear relationships between AI adoption and energy use in various economies, suggesting tailored governance to boost SDGs.

Wang et al. (2025) studied this question.

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Analysis reveals nonlinear relationships between AI adoption and energy use in various economies, suggesting tailored governance to boost SDGs.