Artificial Intelligence's Impact on Hr and Talent Acquisition

Abstract

Artificial intelligence (AI) is fundamentally changing the continuously changing in Human Resource Management (HRM) scene especially in cost containment and talent acquisition. This study uses a mixed-method research approach combining qualitative interviews with quantitative data analysis to find how AI-driven solutions are improving HR cost efficiency. This study aims to find how well many artificial intelligence technologies could streamline procedures and save recruiting costs. These technologies include virtual assistants to predictive analytics to automate on boarding systems and resume analysis algorithms. By means of semi-structured interviews with human resources experts from diverse backgrounds, the qualitative element of the research aggregates information on the benefits, drawbacks, and pragmatic applications of artificial intelligence in the workplace. Concurrent with other cost-related evaluations, the quantitative analysis compares staff attrition rates before and after artificial intelligence implementation as well as cost-per-hire and time-to-hire. Among the initial benefits are higher process efficiency, less recruiting costs, and closer alignment of applicant profiles with organisational goals. Studies reveal ethical, privacy, and job displacement concerns even as artificial intelligence improves regular, data-intensive HR activities. Most people agree artificial intelligence will supplement rather than replace human work, therefore human resources departments will have more time for strategic planning and staff development. Based on the findings of this article, AI shows a possible response for HRM cost efficiency when used properly. The mixed-method approach of this study will enable academics, lawmakers, and practitioners ready to use artificial intelligence into HR strategies to fully comprehend both quantitative results and human points of view.