Jiayu Luo
Papers
1
Total Citations
28
H-Index
1
About
Jiayu Luo is a rising scholar at the intersection of artificial intelligence and labor economics, whose work illuminates how AI reshapes wage inequality and skill demands. In their highly cited 2024 paper, "Artificial intelligence and the skill premium: A numerical analysis of theoretical models," Luo bridges computational methods and economic theory to simulate how AI adoption alters the returns to education and experience. By numerically calibrating canonical models, they demonstrate that AI can both widen and narrow the skill premium depending on task complementarity and automation thresholds—a finding with direct policy implications for workforce retraining and education investment. Though early in their career, Luo’s research has already garnered 28 citations, signaling strong traction among economists and computer scientists alike. Their work stands out for its methodological rigor: combining agent-based simulations with general equilibrium frameworks to produce testable predictions about future labor markets. For students and researchers, Luo offers a model of how to deploy AI tools not just as objects of study, but as analytical engines for understanding economic transformation.
Research Focus
Key Achievements
Top Papers
- 1