A Preliminary Study on the Adoption of Artificial Intelligence in Human Resource Management in Selected Automobile Companies

The automobile industry is experiencing a profound transformation driven by Industry 4.0, digitalization, and global competitive pressures. Alongside advances in automation, electrification, and smart manufacturing, Human Resource Management (HRM) has evolved into a strategic function that supports organizational agility and innovation. Artificial Intelligence (AI) is increasingly adopted in HRM to improve efficiency, accuracy, and strategic workforce decision-making. This study examines the adoption of AI in HRM within selected automobile companies, focusing on recruitment and selection, workforce planning, performance management, and employee retention. The study employs a qualitative and exploratory research design based on a systematic review of academic literature, industry reports, and documented case studies. The findings indicate that AI-enabled HR practices contribute to reduced hiring time, improved quality of talent decisions, proactive workforce planning, and enhanced employee engagement. However, the study also identifies critical challenges, including data quality limitations, skill gaps among HR professionals, employee resistance, ethical risks, and regulatory uncertainties. The paper concludes that AI adoption in automotive HRM can yield sustainable competitive advantage only when implemented through a human-centered, ethically governed framework. Practical implications and future research directions are discussed.