This article explores the integration of artificial intelligence (AI) in human resource management (HRM) through a qualitative examination and content analysis of secondary sources. The purpose is to assess how AI is employed to enhance HR processes such as recruitment, selection, performance evaluation, and employee development, while also considering the associated risks and challenges. A methodological framework adapted from (Arksey and O’Malley in Int J Soc Res Methodol 8:19–32, 2005) was applied to systematically identify relevant literature from the Web of Science database, focusing on studies that address the relationship between AI and HRM. The findings reveal that AI contributes significantly to improving the efficiency and transparency of HR practices, expanding the talent pool, and minimizing bias in decision-making processes. However, the study also identifies challenges such as the potential displacement of employees and the need to address ethical and cybersecurity concerns. The originality of this research lies in its comprehensive synthesis of recent studies from various geographical and industrial contexts, offering insights into the implications of AI adoption in HRM. The article highlights the necessity for organizations to develop strategic frameworks that balance technological advancements with human and ethical considerations, ensuring sustainable and fair AI integration in HRM practices.