Revolutionizing Recruitment: An Empirical Study of AI in Talent Acquisition

Abstract

This study examines the impact of AI-driven recruitment tools on talent acquisition, focusing on Resume Screening & Matching, Chatbots for Initial Interaction, Bias Reduction, and Enhanced Candidate Experience as independent variables, with Overall AI Effectiveness in Talent Acquisition as the dependent variable. Data was collected from 120 employees in leading software companies (IBM, Infosys, Accenture, Oracle, Wipro) through an online questionnaire using a 5-point rating scale. Descriptive analysis was used to assess employee perceptions, while correlation analysis identified relationships between AI-driven tools and hiring efficiency. A multiple regression analysis revealed that Enhanced Candidate Experience and Bias Reduction had the strongest influence on AI effectiveness, followed by Resume Screening & Matching and Chatbots. The model explained of the variance in AI effectiveness, confirming AI’s significant role in improving recruitment outcomes. These findings highlight the importance of AI in enhancing efficiency, fairness, and candidate experience in modern talent acquisition.