Shangfeng Zhang
Papers
1
Total Citations
28
H-Index
1
About
Shangfeng Zhang is a rising scholar at the intersection of artificial intelligence and labor economics. His research focuses on how AI reshapes wage structures, particularly the skill premium—the earnings gap between high- and low-skilled workers. In his most-cited work, "Artificial intelligence and the skill premium: A numerical analysis of theoretical models" (2024, 28 citations), Zhang develops computational frameworks to simulate how AI adoption alters labor demand and wage inequality. By bridging economic theory with numerical methods, his contributions provide rigorous, testable predictions about automation’s distributional effects. This work has quickly gained traction among economists and policymakers seeking to understand AI’s impact on workforce dynamics. Zhang’s approach stands out for its clarity in translating complex models into actionable insights, making him a key voice in debates on technology and inequality. His early citation record signals growing influence, and his research offers a vital toolkit for students and researchers exploring the future of work in an AI-driven economy.
Research Focus
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- 1