Economic Theory on the Labor Market and Structural Econometrics in the Era of Artificial Intelligence

Artificial intelligence （AI） is profoundly reshaping the operating mechanisms and development patterns of the labor market，revealing certain limitations in existing labor economics theories and econometric methods. To build theoretical systems and research methodologies adapted to the AI era and provide scientific support for high-quality development of the labor market，the National Natural Science Foundation of China organized the “Research on Labor Market Theory and Structural Econometrics in the Era of Artificial Intelligence” Shuang-Qing Forum. This forum explored key issues in the AI era，including labor skills，micro-subject decision-making，labor market supply and demand dynamics，related institutional and policy design，as well as econometric modeling and econometric methods for labor market research. This article summarizes the consensus reached at the forum，outlining the current status and challenges of labor economics and econometric research in the AI era，the major scientific questions，and important research directions. The article seeks to provide support for high-quality development of labor market theory and structural econometrics and for the forward-looking allocation of scientific funding.