The Role of Artificial Intelligence in Reducing Hiring Time and Improving Candidate Fit: Evidence from IT Firms

Abstract

This study explores the role of Artificial Intelligence (AI) in enhancing recruitment outcomes, particularly focusing on recruiter satisfaction, hiring efficiency, predictive profiling, and candidate fit among HR professionals in leading IT companies in Bangalore. Based on responses from 88 HR professionals across 11 organizations, including HCL, Infosys, SAP Labs, TCS, Wipro, Accenture, Capgemini, ABB, Sonata, and Caterpillar, the research applies descriptive statistics, correlation, and regression analysis to evaluate key AI adoption factors. The findings reveal that AI Hiring Efficiency, Predictive Profiling, and Candidate Fit all have strong, positive, and statistically significant impacts on recruiter satisfaction, with AI Hiring Efficiency emerging as the most influential predictor (β = 0.461, p < 0.001). The regression model showed high explanatory power (R² = 0.594), confirming that nearly 60% of the variance in recruiter satisfaction is explained by the selected AI variables. These results highlight the transformative potential of AI tools in streamlining hiring processes, improving candidate-employer alignment, and elevating HR outcomes. The study provides actionable insights for organizations aiming to optimize recruitment through intelligent automation and data-driven strategies.