Abstract: The rapid integration of Artificial Intelligence (AI) in recruitment and selection has transformed traditional HR practices, offering enhanced efficiency, predictive insights, and automation in talent acquisition. However, alongside these advancements, critical challenges persist regarding ethical governance, algorithmic bias, human–AI collaboration, and long-term organizational outcomes. This study aims to provide a multidimensional analysis of AI adoption in recruitment, focusing on its operational, strategic, and human-centric implications. Based on a comprehensive review of theoretical and empirical literature, the study addresses five key research questions related to AI’s impact on organizational performance, ethical considerations, human judgment integration, industry-specific adoption, and sustainable HR strategies. The findings reveal that while AI-driven tools improve candidate-job matching and recruitment efficiency, optimal outcomes are contingent upon complementing automation with human intuition, transparency, and cultural sensitivity. Variations in adoption across industries, organizational sizes, and regulatory contexts further highlight the need for context-specific strategies. The study underscores the importance of embedding ethical safeguards and inclusive practices to ensure that AI contributes to sustainable HR 4.0 ecosystems, employee engagement, and long-term organizational success. These insights provide valuable implications for practitioners, policymakers, and researchers seeking to balance technological innovation with human-centric and socially responsible recruitment strategies.
Keywords: Artificial Intelligence, Recruitment and Selection, Human–AI Collaboration, Algorithmic Bias, HR 4.0, Ethical Governance, Organizational Performance.
Title: PROSPECTS AND BARRIERS IN ADOPTING AI-DRIVEN AUTOMATION FOR RECRUITMENT AND SELECTION
Author: Dr. S. Saranya, Dr. K. Chandrasekar
International Journal of Management and Commerce Innovations
ISSN 2348-7585 (Online)
Vol. 14, Issue 1, April 2026 - September 2026
Page No: 430-443
Research Publish Journals
Website: www.researchpublish.com
Published Date: 20-May-2026
