AI in Talent Management: Revolutionizing Recruitment, Training, and Retention

Abstract

Artificial Intelligence (AI) is changing the way talent management works and improving recruitment, training, and retention of workers. Using AI-based tools, organizations have automated HR operations, enhanced decision-making, and customized workforce strategies. This paper looks at how AI tools can be used to optimize hiring using machine learning algorithms, predictive analytics to plan the workforce, and AI-based training programs to provide personalized learning experiences. Talent management based on AI makes recruitment more efficient, eliminating hiring bias, enhancing employee engagement and forecasting workforce trends. Nevertheless, artificial intelligence also has its issues, such as ethical issues, the risk of data privacy, or the possibility of algorithm bias that could undermine equity in hiring and performance appraisal. In this study, the mixed-method approach is used whereby quantitative statistics are combined with qualitative information gathered through a survey of HR professionals. Surveys are conducted in form of structured questionnaires and data is analysed using demographic, descriptive statistics, ANOVA, t-tests and regression analysis. The results suggest that AI-based talent management promotes the effectiveness of HR and improves the workforce planning process and makes HR more strategic. Nonetheless, ethical issues need to be dealt with, and the transparency and the human control of the decision-making process are also necessary to make it successful. The research is an addition to the existing literature on AI in HRM because it offers a detailed examination of this technology in terms of its uses, advantages, and threats. The lessons learned during this study provide useful lessons to companies that are interested in adopting AI-based talent management practices but remain ethical and innovative at the same time.