In this study, a comprehensive bibliometric method and knowledge graph technology were used to systematically analyze artificial inteligence and labor employment. The results show that since 2016, the number of articles published in this field has entered a rapid development stage. The core research institutions are concentrated in the education industry. There is a significant overlap in the co-occurrence of keywords of the research themes, which are all focused on the keywords of “artificial intelligence” “robotics” “employment”. The evolution of research hotspots goes through three phases, such as technology focus period (2018-2021), impact exploration period (2021-2022) and application differentiation period (2022-2024). The research provides experience for future research on labor force employment in the context of artificial intelligence, and provides strong support for strategy formulation and practical exploration in related fields.

artificial intelligence  /  employment of labor force  /  bibliometrics  /  knowledge map