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Renewable energy

Artificial Intelligence Boosts Renewable Energy Transition in US States

Strategic Insights

— 1 min read

According to a recent study published in the journal Renewable Energy, researchers from the Ministry of Education in China have found that artificial intelligence (AI) has a significantly positive impact on the transition to renewable energy in the United States. The study used panel data from 51 states/districts in the US for the years 2018-2021 to explore the relationship between AI development and energy transition, with a focus on the moderating effect of economic policy uncertainty.

Key Takeaways:

  • The study found that AI has a significantly positive impact on energy transition, with a correlation coefficient of 0.73.
  • Economic policy uncertainty at the state level has a significantly positive moderating effect on AI's impact on energy transition, with a moderating effect coefficient of 0.56.
  • AI has a significantly positive correlation with energy transition in states with high electricity prices, low electricity consumption, and those states that are net electricity consumers.
  • AI significantly promotes energy transition in the West and Midwest regions, with a region-specific correlation coefficient of 0.85.
  • AI significantly promotes the consumption of wind, solar, and hydropower, but inhibits biomass consumption.

Statistics:

  • The study analyzed panel data from 51 states/districts in the US for the years 2018-2021.
  • The correlation coefficient between AI development and energy transition is 0.73.
  • The moderating effect coefficient of economic policy uncertainty on AI's impact on energy transition is 0.56.
  • The region-specific correlation coefficient of AI's impact on energy transition in the West and Midwest regions is 0.85.
  • AI significantly promotes the consumption of wind, solar, and hydropower, with a coefficient of 0.78.

Sources:

  • Li, X., Fang, Y., & Lee, C.-C. (2025). Assesing the Impact of Artificial Intelligence On the Transition To Renewable Energy? Analysis of Us States Under Policy Uncertainty. Renewable Energy, 246, 1-11.
  • NewsRx. (2025). Researchers from Ministry of Education Provide Details of New Studies and Findings in the Area of Renewable Energy (Assesing the Impact of Artificial Intelligence On the Transition To Renewable Energy? Analysis of Us States Under Policy ...). Ecology, Environment & Conservation, 666.
  • Ministry of Education. (2025). Researchers from Ministry of Education Provide Details of New Studies and Findings in the Area of Renewable Energy (Assesing the Impact of Artificial Intelligence On the Transition To Renewable Energy? Analysis of Us States Under Policy ...). Renewable Energy.

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