Yongming Sun

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About

Yongming Sun is a rising scholar at the intersection of labor economics and technological change, with a primary focus on how artificial intelligence reshapes income distribution within firms. In his most-cited work, "Does artificial intelligence affect firms’ inner wage gap?" (2024, 11 citations), Sun leverages data from the International Federation of Robotics and China’s A-share listed firms from 2011 to 2019 to uncover a counterintuitive yet significant finding: AI adoption is conducive to narrowing the wage gap within companies. This contribution challenges prevailing fears that automation inevitably widens inequality, offering fresh evidence that AI may instead compress internal pay disparities. By bridging macro-level robotics data with firm-level financial records, Sun provides a rigorous empirical framework for understanding AI’s distributive effects. His work has quickly garnered attention among scholars of labor markets and technological disruption, marking him as a key voice in debates on inclusive innovation. For students and researchers, Sun’s research offers a nuanced, data-driven perspective on one of the most pressing economic questions of our time.