Abstract This study quantitatively assesses the financial impact of Artificial Intelligence (AI) integration within talent acquisition (TA) functions in Pune's competitive Information Technology (IT) sector. Amidst massive capital investment in HR technology, this research moves beyond simple adoption metrics to analyze the correlation between strategic budgetary allocation for AI and tangible recruitment outcomes. A quantitative, cross-sectional survey of 166 (N=166) HR and Talent Acquisition professionals from Pune's IT industry was conducted. The analysis reveals a statistically significant, strong negative correlation between the percentage of the TA budget allocated to AI and perceived reductions in both Cost-per-Hire (CPH) (r = -.58, p <.01) and Time-to-Fill (TTF) (r = -.47, p <.01). A moderate positive correlation was found with perceived Quality-of-Hire (QoH) (r =.31, p <.05). A multiple regression analysis further identified that AI budget allocation (Beta =.49) and the specific adoption of AI-powered screening tools (Beta =.28) are the strongest predictors of CPH reduction. The findings provide quantitative evidence that strategic financial integration of AI is not merely a technological upgrade but a critical, measurable driver of recruitment efficiency and cost optimization in a high-velocity talent market.
Hande et al. (2026) studied this question.
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