AI and Automation in Candidate Sourcing: Enhancing Efficiency and Effectiveness in Talent Acquisition.

The integration of Artificial Intelligence (AI) and automation in Human Resource Management (HRM) has revolutionized candidate sourcing, streamlined recruitment processes and improved organizational efficiency. This study examines how AI-driven tools and automation platforms reshape sourcing practices, with a specific focus on Talent500, a global talent acquisition and workforce management platform. Using a structured research design, primary data was collected from employees through questionnaires and analyzed using descriptive statistics, correlation analysis, and paired sample t-tests. The results reveal that AI and automation significantly enhance candidate sourcing by improving accuracy in screening, reducing recruitment timelines, and minimizing human bias. Findings further indicate that employees perceive AI-enabled tools as effective in optimizing decision-making and aligning talent acquisition with organizational goals. However, challenges such as dependency on algorithms, limited human judgment, and data privacy concerns persist. The study concludes that while AI and automation enhance efficiency and effectiveness in candidate sourcing, organizations must integrate these technologies with strategic human oversight to maximize benefits. Recommendations emphasize continuous training, transparent use of algorithms, and the balance of technological efficiency with human intuition in decision-making.