Jiangnan Li

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Total Citations

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About

Jiangnan Li is an emerging scholar at the intersection of artificial intelligence and energy economics, whose work explores how AI-driven automation reshapes labor markets within the transition to sustainable energy systems. Their most-cited paper, "Can artificial intelligence contribute to the new energy system? Based on the perspective of labor supply" (2025, 13 citations), offers a novel framework for understanding how AI adoption influences workforce dynamics in renewable energy sectors. This research provides critical insights into the socioeconomic implications of technological change, addressing how automation may both displace and create jobs in the green economy. Li’s work bridges computational methods with policy-relevant analysis, contributing to debates on just transitions and the future of work. While early in their career, their citation trajectory signals growing influence among researchers studying the human dimensions of energy decarbonization. Li’s scholarship is particularly valuable for students and policymakers seeking to anticipate labor market disruptions from AI and design inclusive strategies for the clean energy workforce.