AI-Driven Predictive Analytics and Strategic HR Planning in the IT Sector: A Study of Selected Multinational IT Corporations

Abstract

The quick development of artificial intelligence (AI) has drastically changed how multinational companies handle their human resources. AI-driven predictive analytics, in particular, has become an effective instrument for improving strategic HR planning by empowering businesses to make data-driven choices about talent management, workforce forecasting, employee retention, and performance optimisation. This study examines at how AI-driven predictive analytics might help some global IT companies, like Infosys, Tata Consultancy Services, and Wipro, improve their strategic HR planning. Both primary and secondary data sources are used in this descriptive and analytical research design. Structured questionnaires were used to collect primary data from HR specialists and managerial staff, while corporate reports, research articles, and pertinent industry journals were used to collect secondary data. The association between AI-driven predictive analytics and strategic HR planning techniques was examined using statistical techniques like regression analysis, correlation, and descriptive statistics. The results show that using predictive analytics greatly increases the accuracy of workforce planning, strengthens talent acquisition tactics, and encourages proactive decision-making in HR departments. Furthermore, the use of AI technologies helps global IT businesses achieve long-term strategy alignment and increased organisational efficiency. The study emphasises the increasing significance of digital transformation in human resource management and offers guidance to businesses intending to use advanced analytics tools to improve strategic HR planning.