HR Adoption and Perception of AI-Driven Recruitment: A Hybrid Approach for the IT Sector

Abstract

The demand for fast, accurate, and fair recruitment processes in the IT sector continues to grow amid increasing competition for top talent. In many cases, traditional human resource systems can be inefficient, subjective, and time-consuming to implement, thus compelling organizations to find new ways to pursue human resource activities. The given research explores how Artificial Intelligence (AI) is a revolutionary approach to recruitment enhancements since it automates the most critical steps of the hiring process: resume screening, candidate sourcing, chatbot communication, and predictive analytics. It explores the perception of HR professionals and their adoption of these AI-led tools, as well as the opportunities and difficulties naturally associated with their integration. In addition, the study presents a proposal for a hybrid framework that integrates AI technologies and traditional HR practices to ensure the best possible results of the recruitment process, whilst considering ethical issues. Based on academic journal data, case studies, and industry reports as secondary data, the results provide useful information and strategic ideas that HR practitioners can use to ethically and efficiently exploit digital transformation in the new world of hiring.