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December 12, 2025Sustainable Development

From Algorithms to Sustainability: How AI Drives Renewable Energy Through Technology, Institutions, and Equity

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Authors

TSTingting SunRLRongrong LiQWQiang Wang

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Overview

Analysis shows AI increases renewable energy consumption in countries, indicating the need for tailored institutional approaches.

Key Points

  • The study aims to explore how AI influences renewable energy consumption across different countries and contexts.
  • Utilized a multidimensional AI index constructed with a Grey Wolf optimized projection pursuit model.
  • Analyzed panel data from 52 countries between 2010 and 2022.
  • Applied fixed‐effects, quantile, and dynamic threshold analyses to assess AI's impact on renewable energy consumption.
  • AI significantly promotes renewable energy consumption, with a 1% increase in AI resulting in a 0.68% rise in per capita renewable energy consumption.
  • The strongest contributions come from AI technology (0.93%), followed by infrastructure (0.53%) and product competitiveness (0.49%).
  • The impact of AI on renewable energy consumption is nonlinear and asymmetric, particularly stronger in middle-income economies.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/694019192d562116f28f6755https://doi.org/10.1002/sd.70547
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