This study conducts a bibliometric analysis of scholarly papers on the integration of  Artificial Intelligence (AI) into Human Resource (HR) practices. Using the Scopus database, 613  articles published between the years 2015 and 2025 were analyzed using VOSviewer and Bibliometrix. There is sudden interest in research post-2017, which is driven by technological innovations in machine learning, automation, and people analytics. Some of the most important themes that are discussed include AI in recruitment, performance management, and employee engagement. Major authors and institutions are predominantly based in the US, UK, and India. The findings highlight dominance in multidisciplinary research and point towards greater emphasis on ethics and change in the workforce. The paper delivers a roadmap for future research into AI-enabled HR practices.The rapid adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) has transformed traditional HR practices, reshaping recruitment, performance evaluation, training, and employee engagement. Over the past decade, scholarly interest in this intersection has grown substantially, reflecting both technological advancements and an increasing need for data-driven HR strategies. This study presents a comprehensive bibliometric analysis of research on the integration of AI in HRM from 2015 to 2024. Utilizing major academic databases, we identify publication trends, prolific authors, leading journals, influential institutions, and global research collaborations. Co-citation, co-authorship, and keyword co-occurrence analyses reveal core thematic clusters, such as AI-enabled talent acquisition, predictive analytics in workforce planning, ethical considerations in automated HR practices, and the impact of AI on employee experience. Our findings highlight emerging research frontiers, shifting intellectual structures, and geographic disparities in scholarly output. This study not only illuminates the evolution of AI applications in HRM but also offers future research directions for academics and practical insights for HR professionals navigating the challenges and opportunities of AI adoption..