Explore barriers and risks that hinder AI integration into global talent management: A Systematic Review

The work environment is rapidly changing due to the constantly rising global disruptions. It has therefore become essential for organisations to retain their top talent in order to remain sustainable. This systematic review aimed to identify the primary barriers and risks associated with implementing Artificial Intelligence (AI) in Global Talent Management (GTM). A systematic literature review was undertaken in accordance with PRISMA-ScR standards. The review searched eight databases (Google Scholar, Scopus, Web of Science, ScienceDirect, ProQuest, Emerald Insight, Sabinet, and Elsevier) using a comprehensive search approach. Articles published between 2020 and 2025 in peer-reviewed journals were considered. The entire texts of selected studies were assessed against the inclusion criteria, and 23 peer-reviewed empirical studies were included in the full review. An analysis of 23 scholarly articles identified three key barriers and risks to implementing AI within GTM, including governance and accountability, implementation hurdles, and ethical and technical concerns. The successful integration of AI into GTM depends on more than just technology. It requires a confluence of strategic vision, enabling infrastructure, cultural readiness, and ethical oversight. The risks associated with AI reflect a failure to align innovation with governance, human-centred design, and long-term trust-building.