Sculpting the Perfect Workforce: A Study of Cognitive AI and Machine Learning Algorithms in Reshaping the Future of Talent Acquisition and Fostering Synergistic HR-Technology Ecosystems

This study explores integrating Cognitive AI and ML algorithms into talent acquisition and assessing their impact on HR practices. The paper reviews the literature to contextualize this convergence, identifying gaps in real-world organizational usage. It outlines current trends, challenges, and opportunities. Discussions with HR professionals, AI experts, and executives employ a focus group approach. The qualitative framework spotlights applicant sourcing, screening, matching, and personalized experiences. Thematic analysis reveals fresh results and insights. Integrating Cognitive AI and ML induces a talent acquisition paradigm shift. Improved candidate sourcing accuracy and AI-based screening enhance the talent pipeline. Acknowledging challenges, like algorithmic bias, calls for ongoing vigilance and ethical considerations. The study underscores the transformative power of Cognitive AI and ML in talent acquisition while advocating ethical integration. Balancing innovation and deliberate adoption can steer enterprises toward an AI-empowered HR future.