Author(s) :

Utkarsh Barman,Sumit Koul(Associate Professor),School of Business.

Volume/Issue :

Abstract :

Artificial Intelligence (AI) has significantly reshaped the landscape of recruitment and talent acquisition. Traditional hiring methods, which relied heavily on manual efforts and subjective judgments, often faced inefficiencies, bias, and delays. In contrast, AI-powered tools—such as Applicant Tracking Systems (ATS), intelligent chatbots, predictive analytics, and automated video assessments—are revolutionizing how companies identify and engage talent. This report explores the role of AI in enhancing hiring outcomes by improving speed, reducing human error, and fostering fairer recruitment practices. It also critically examines challenges, including ethical dilemmas, data security concerns, and the risk of algorithmic bias. Real-world examples like Unilever’s success and Amazon’s setbacks with AI-driven recruitment provide insight into the diverse impact of these technologies. With credible industry data from sources such as LinkedIn, Gartner, and PwC, this study outlines how AI is set to redefine recruitment by drastically shortening hiring cycles and improving candidate experience. However, the report also emphasizes the need for responsible AI use, highlighting the importance of human oversight to maintain fairness, transparency, and integrity in talent acquisition.

No. of Downloads :

0