Author(s)

Xiaotong Shi, Luzi Zhang, Xiayu Ren, Ruize Qi

Corresponding Author

Xiaotong Shi

Abstract

The rapid advancement of artificial intelligence has significantly changed the employment structure, leading to structural unemployment marked by the decline of middle-skilled positions and the polarization of employment opportunities. This evolution creates challenges for traditional income support policies. This paper analyzes the formation logic and manifestations of structural unemployment, points out the limitations of traditional policies in design, coverage accuracy, and tools, and demonstrates the necessity of dynamic adjustment. Furthermore, this study constructs a dynamic adjustment mechanism including core objectives, operating principles, and core dimensions. It suggests optimization methods from three perspectives: reshaping the relationship between policies and skills, enhancing adaptive inclusiveness, and reinforcing long-term security. It offers theoretical and practical ideas for responding to the employment challenges in the AI era and promoting the inclusive development of the social economy.

Keywords

Artificial Intelligence; Structural Unemployment; Income Support Policy; Dynamic Adjustment Mechanism; Labor Market Transformation; Skill Mismatch; Policy Adaptation; Inclusive Economic Development