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The Impact of Generative Artificial Intelligence in the Recruitment-IT Industry

S. Lakshmi,M. Dutta,Pranab Kumar

2026 · DOI: 10.25258/ijddt.16.36s.17
International Journal of Drug Delivery Technology · 0 Citations

TLDR

This study synthesises current literature, proposes a conceptual model, and discusses ethical challenges associated with Gen AI in recruitment, and provides insights from the Indian IT industry, where companies like Infosys, TCS, and Wipro are actively deploying Gen AI tools.

Abstract

The research paper helps to understand impact of Generative Artificial Intelligence (GAI) in recruitment. The primary

objective of this paper is to examine how Generative Artificial Intelligence (GAI) technologies are impacting the overall

recruitment landscape within organisations, with a focus on candidate experience, bias reduction, predictive analytics,

and job recommendations. This research paper further addresses various challenges related to Generative Artificial

Intelligence (GAI) in recruitment. This research will help provide insights into the latest AI-driven recruitment in India

and its future implications.

This paper helps in understanding the shift of Generative Artificial Intelligence (Gen AI) on recruitment practices. By

activities such as automating routine work, enhancing candidate experiences, reducing bias, and enabling data-driven

hiring decisions, Gen AI is redefining the talent acquisition landscape. This study synthesises current literature, proposes

a conceptual model, and discusses ethical challenges associated with Gen AI in recruitment. It also provides insights

from the Indian IT industry, where companies like Infosys, TCS, and Wipro are actively deploying Gen AI tools. The paper concludes with future trends, advocating for a balanced human-AI collaboration to ensure fairness and effectiveness in hiring