Toward Energy Transition: Exploring the Effects of Artificial Intelligence and Global Supply Chain Pressure

Wenyu Li, Bin Qi, Yun-Feng Wang and Yiting Xu

Emerging Markets Finance and Trade, 2025, vol. 61, issue 15, 4878-4892

Abstract: This article utilizes the wavelet quantile correlation approach to analyze connections among artificial intelligence (AI), renewable energy (RE), and global supply chain pressure (GSCP) across different quantiles and time periods. We discover that AI initially has negative impacts on RE but later boosts RE efficiency, grid stability, and technology. GSCP shows short-term negative links with RE but medium-term gains from innovation and diversification, while long-term risks stem from shortages and costs. During the COVID-19 and Russia–Ukraine war, AI initially correlates negatively with RE but later positively. During the pandemic, however, GSCP and RE demonstrate a positive correlation, whereas this relationship fluctuates during the conflict. This article presents suggestions for advancing renewable energy amid technological revolution and supply chain crisis.

Date: 2025
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DOI: 10.1080/1540496X.2025.2533264

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