Jingyang Yan

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About

Jingyang Yan is an emerging scholar at the intersection of artificial intelligence, energy economics, and labor market dynamics. Their research explores how AI technologies can reshape the structure and efficiency of new energy systems, with a particular focus on the implications for labor supply and workforce transitions. Yan’s most-cited work, “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 the dual role of AI as both a driver of renewable energy integration and a disruptor of traditional employment patterns. By analyzing the feedback loops between automation, energy policy, and human capital, Yan provides critical insights for policymakers and industry leaders navigating the green transition. Though early in their career, Yan’s research has already garnered attention for its interdisciplinary approach, bridging technical AI applications with socioeconomic impact assessments. This work positions Yan as a forward-thinking contributor to debates on sustainable development, digital transformation, and the future of work—a voice worth watching as the energy sector evolves.