Transforming Human Resource Management in the Era of Artificial Intelligence: A Systematic Review of Opportunities, Challenges, and Human Capital Development Strategies

The rapid advancement of artificial intelligence (AI) has fundamentally transformed human resource management (HRM), shifting its role from administrative operations toward strategic, data-driven, and intelligent decision-making. Despite the growing body of research in this field, there is still a lack of a comprehensive synthesis of the opportunities, challenges, and human capital development strategies associated with AI adoption in HRM. Therefore, this study aimed to systematically review the existing literature on the transformation of human resource management in the era of artificial intelligence. The study was conducted following the PRISMA 2020 guidelines. Relevant studies published between 2020 and 2026 were retrieved from major academic databases, including Scopus, Web of Science, ScienceDirect, SpringerLink, Emerald Insight, IEEE Xplore, and Google Scholar. After applying predefined inclusion and exclusion criteria, 52 studies were selected for the final review and analyzed using qualitative content analysis. The findings revealed that the primary opportunities of AI in HRM include intelligent recruitment and selection, talent management, personalized learning and employee development, AI-assisted performance management, and data-driven decision-making. The review also identified algorithmic bias, ethical concerns, data privacy and security, digital skill gaps, and resistance to organizational change as the most significant challenges. Furthermore, developing digital competencies, promoting lifelong learning, establishing AI governance and ethical frameworks, implementing effective change management, and fostering human–AI collaboration were identified as the most important strategies for sustainable human capital development. Overall, the findings suggest that the successful transformation of human resource management requires integrating AI technologies with human capital development, data governance, ethical principles, and a human-centered management approach. Organizations that effectively balance technological capabilities with human expertise will be better positioned to enhance organizational performance, innovation, and sustainable competitive advantage