Li Yingfeng

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About

Li Yingfeng is a rising scholar at the intersection of labor economics and artificial intelligence, whose work critically examines how industrial intelligence reshapes China’s labor markets. In their most-cited study, “How can industrial intelligence change the employment structure of the floating population?” (2024, 4 citations), Li investigates the transformative impact of AI on the nation’s floating population—a key demographic in China’s evolving workforce. As the era of demographic dividend wanes, this research clarifies the internal mechanisms through which automation and intelligent technologies alter employment structures, revealing both displacement and reallocation effects. Li’s contributions are particularly timely, offering empirical insights into how AI-driven industrial change affects migrant workers, a group often vulnerable to technological disruption. By bridging macro-level technological trends with micro-level labor outcomes, Li provides a nuanced understanding of the shifting employment landscape. This work not only advances academic discourse but also informs policy debates on workforce retraining and social safety nets in an AI-driven economy. With a growing citation footprint, Li Yingfeng is establishing themselves as a vital voice in the study of technology, migration, and labor market transformation.