Impact of Generative AI on Talent Management and Retention: Use Cases, Challenges, and Open Issues
摘要
Generative artificial intelligence (GAI) is transforming several business domains, including talent management. This paper describes how GAI has greatly changed talent management and retention strategies. Overall, the infusion of GAI into HR processes transformed various recruitment, training, performance appraisal, and worker motivation strategies. This paper examines how GAI enhances efficiency, personalization options, and decision-making in talent management in more depth. Also, it explains how GAI personalizes employee programs on career development and learning to ensure retention through predictive analytics and content creation for employee engagement, and reviews of the literature show the road not traveled yet by others who have done studies similar to this one. To put it another way, such detailed discussions and case studies are capable of suggesting a forward-looking perspective on what lies ahead during managing talents in the era of GAI. The findings indicate that optimization of HR processes through GAI enables an organization to create a supportive work environment where employees can be motivated, hence increasing their loyalty and reducing turnover.