Application of AI in Talent Management A Systematic Review of Benefits, Challenges, and Prospects

Abstract

This systematic literature review explores the current state, advantages, disadvantages, and potential future of using artificial intelligence in talent management. A total of 29 articles published in 2015- 2024 suggest that 33% of the organizations have implemented AI/ML tools, and only 16% are optimally using HR technologies for organizational results. The review identifies four key domains of AI implementation: recruitment and selection, performance analysis, development and training of employees, and strategic implementation. Benefits include increased operational effectiveness, improved decision-making, organizational talent management, and workforce planning processes. That said, technical difficulties, ethical issues on the use of artificial intelligence, privacy, and some organizational individuals' reluctance towards using artificial intelligence remain major hurdles. The results show an increase in the number of publications in recent years, focusing on 2023 and occupying the majority share of journals (83%). More future directions focus on developing a strong theoretical foundation, implementation proposals, and improved ethical standards. These observations indicate that AI holds the potential to revolutionize TM practices but also that organizations need to be cautious of the challenges pertaining to technology integration keeping in view the ethical and human aspects of organizational functioning to effectuate successful implementation.

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