RECRUITERS’ ATTITUDES AND EXPERIENCES TOWARDS AI INTEGRATION IN RECRUITMENT: A STUDY OF SELECT IT COMPANIES IN HYDERABAD

This study examines the attitudes and experiences of recruiters in select IT companies in Hyderabad regarding the integration of Artificial Intelligence (AI) in recruitment processes. AI has revolutionized talent acquisition by automating resume screening, improving candidate-job matching, and enhancing overall hiring efficiency. By reducing manual efforts, AI-driven recruitment tools enable faster decision-making and cost savings. However, despite these benefits, concerns persist regarding ethical implications, data privacy, and algorithmic bias. The study aims to assess recruiters' perceptions of AI’s advantages, challenges, and long-term implications in hiring. Primary data is collected from recruiters in IT companies, and statistical tools such as Frequency Distribution, Relative Importance Index (RII), and Henry Garrett Ranking Method are employed to analyze responses. These methods help quantify recruiters' acceptance levels, key concerns, and perceived effectiveness of AI-driven hiring. Findings indicate that AI significantly enhances recruitment efficiency by automating repetitive tasks and streamlining candidate selection. Recruiters acknowledge AI’s potential to improve hiring accuracy and reduce human biases in preliminary screening. However, apprehensions remain about the reliability of AI-driven decisions, transparency in algorithmic processes, and the risk of data breaches. Additionally, some recruiters feel that over-reliance on AI could compromise the human judgment needed for assessing soft skills and cultural fit. This study highlights the need for a balanced approach where AI complements, rather than replaces, human recruiters. Organizations should implement ethical AI frameworks and regularly audit AI models to mitigate bias and privacy risks. The findings provide valuable insights into AI adoption in recruitment, helping companies optimize their hiring strategies while ensuring fairness and compliance.