Bibliometric Trends of Artificial Intelligence and Human Resource Transformation in Automotive Industry Contexts

This paper examines the evolution of research on artificial intelligence (AI) and human resource management (HRM) in the context of the automotive industry, where digital manufacturing and workforce transformation increasingly intersect.Using a bibliometric approach, the study identifies key publication trends, dominant themes, and managerial implications.The results show significant growth in recent years and a clear thematic convergence around AI, HRM, machine learning, decision-making, Industry 4.0, and smart manufacturing.The findings highlight that industrial transformation extends beyond technological change to include organizational and human-centered dimensions, with increasing focus on workforce digitalization, well-being, and social sustainability.For automotive firms, the results suggest that AI adoption should not be limited to automation and efficiency, but should also emphasize skills development, adaptability, safety, and workforce resilience.Overall, the study demonstrates that the field is evolving toward the integration of intelligent manufacturing and humancentered management rather than the replacement of labor by automation.