Article
From Hiring to Retention: A Systematic Review of Artificial Intelligence Applications across Talent Management Functions
The swift adoption of Artificial Intelligence (AI) in the management of human resources is transforming the complete talent management process, especially in the technological-oriented field like the IT industry. It is a systematic literature review that summarizes the evidence in 92 peer-reviewed studies published between 2010 and 2025 to investigate how adoption of AI affects recruitment, onboarding, performance management, learning and development, employee engagement, and retention. The review based on PRISMA 2020 framework determines the important topics connected with AI use, human-AI interaction, attitudes of employees, ethical and legal issues, readiness of organizations, and technological obstacles. The results show that AI can greatly boost the efficiency of HR, the accuracy of decisions, and the personalization of the experience of workers, not to mention that it can also redefine the responsibilities of the HR to be more strategic and more analytics. Still, issues that have to do with the fairness of algorithms, their transparency, privacy, and psychological safety keep influencing how employees accept AI-enhanced personnel management procedures. Further factors that affect the success of AI implementation are organizational and technological factors including data quality issues, integration problems, skill gaps and resistance to change. The review suggests a hypothesis that can be tested and relates AI adoption to employee engagement and retention in a mediating paradigm of the perception of fairness and trust, which are moderated by ethical protection and organizational preparedness. The research suggests that AI needs to be governed responsibly and strategic capabilities built to ensure that it is built in high-growth ecosystems like the IT sector in Bengaluru. Altogether, the review offers an in-depth background that will be used in future empirical research and practical recommendations to organisations that aim to use AI to optimise talent management results.