THE EFFECT OF AI TOOLS ON TALENT MANAGEMENT PROCESSES

Abstract

In the current research paper, the researcher will explain the potential of artificial intelligence (AI) capabilities in enhancing talent management practices in organizations. The subjects of the study are perceived AI efficiency, ease of use, AI-generated insights, employee training, overall AI use, and AI-driven talent management results. The quantitative research methodology was followed, and the primary data was collected using a structured questionnaire given to the employees of different organizations. Convenience sampling was applied and 56 valid responses were obtained and analyzed using descriptive statistics, correlation analysis and multiple regression analysis. The results indicate that AI efficiency, usability, and AI-generated insights can be regarded as important predictors of AI-optimized talent management outcomes, and perceived AI efficiency proved to be the most potent predictor. Conversely, the training of employees and the overall use of AI did not prove to be statistically significant in the sample. The regression model elucidates a significant share of the variance in AI-optimized talent management performance, which places the quality of AI systems and functionality in the limelight. Nevertheless, the results must be taken with a grain of salt because of weaknesses that include small sample size, non-probability sampling, and use of cross-sectional and self-reported data. In spite of these shortcomings, the research provides useful information to organizations that aim to improve talent management with the help of effective AI application.