In the current era where the digital wave and technological revolution are deeply intertwined, artificial intelligence (AI) technology is experiencing rapid development. Its penetration and application in the field of enterprise human resource management are constantly breaking through traditional boundaries and expanding to a broader and deeper dimension. This report, based on a systems theory perspective, deeply deconstructs the specific application scenarios of AI in the practice of enterprise human resource management, and multi-dimensionally analyzes its profound impact on the structure and ecology of human resources - covering key dimensions such as the dynamic adjustment of job systems and the iterative evolution of skill demand maps. At the same time, with a long-term perspective, it offers a forward-looking outlook on the future development trajectory of AI in the field of human resource management, and from multiple perspectives including technological integration and innovation, enterprise strategic adaptation, employee capability reshaping, and policy and regulation coordination, precisely proposes targeted response strategies. Empirical research shows that while AI can inject strong momentum into the improvement of human resource management efficiency, it also brings a series of structural transformation challenges; only through scientific and reasonable systematic responses can the value potential of AI be fully released, driving the innovative leap and sustainable development of enterprise human resource management.
Kai Fang (2025) studied this question.