Harnessing AI-Driven Talent Management and Recruitment Strategies to Build an Engaged Workforce

Abstract

This study examines how employee engagement in IT companies is affected by AI-driven personnel management strategies. The study examines how AI-enabled tactics like performance reviews, training identification, and recruiting automation help to improve employee engagement, retention, and satisfaction as artificial intelligence becomes more widely used in HRM. A standardized questionnaire was used to gather information from 100 professionals employed by IT companies. With a substantial correlation coefficient (r = 0.747, p < 0.01), statistical study using SPSS, which included regression analysis, correlation, and descriptive statistics, showed a significant positive association between AI-enabled talent management (TM) practices and employee engagement (EE). The regression results, which accounted for 55.8% of the variance, further demonstrated that talent management is a key predictor of employee engagement. According to the study's findings, AI can improve employee engagement and talent management procedures when it is successfully incorporated into HR initiatives. To create a staff that is motivated and prepared for the future, IT companies should use the findings to guide their strategic integration of AI solutions in HR.