Abstract:
The world's technology hub, Bengaluru, India, has seen the incorporation of Artificial Intelligence (AI)
into the recruitment industry move from a luxury to a necessity. This study examines the influence of AI tools in
talent acquisition and employee selection, particularly with the stories of the recruitment agencies in Bengaluru's
booming business landscape. The main goal is to assess the impact of AI on operational efficiency, candidate
quality, and algorithmic bias, from automated resumes harsher engines to NLP-powered screening and predictive
candidate-matching systems. A mixed methods research design was employed, collecting data via a structured
questionnaire from a sample of 250 recruitment professionals (consultants, team leads, and partners) from
different staffing companies in Bengaluru from late 2024 to early 2026. The results show a high positive
correlation between the AI’s maturity and a decrease in "time-to-fill" for specialized technical positions (r = 0.74).
But descriptive analysis shows that the algorithms designed to eliminate human bias actually have a "Bias
Paradox" in favour of candidates from 'Tier-1' Indian institutes because of the historical learning data. The study
indicates that Bengaluru recruiters are shifting towards an "Augmented Intelligence" model, where AI handles
data processing, and humans engage in navigating complex discussions with stakeholders and determining cultural
fit. Policy implications include the importance of ethical AI governance frameworks and the importance of NLP
tuning locally to reflect India's socio-economic and linguistic diversity. In this paper, a localized strategic
framework is proposed for recruitment firms to ensure that they adopt a speedy technological approach while
maintaining a selection value that are grounded in humans.
