Integrating Artificial Intelligence (AI) in talent management is reshaping the workforce landscape, especially for global companies in the United States. This study investigates how AI is transforming talent management processes, including recruitment, employee development, and performance management while exploring its implications for organizational efficiency, decision-making, and employee engagement. The research aims to understand the benefits and challenges of adopting AI tools in these processes, particularly in the context of U.S.-based multinational companies. A mixed-methods approach was used to gather data through surveys and interviews with HR professionals, business leaders, and employees in global companies. The study found that AI technologies have enhanced recruitment efficiency, improved employee skill alignment, and contributed to a more personalized employee experience. However, challenges such as resistance to change, ethical concerns regarding data privacy, and the need for employee training were noted. These findings suggest that while AI integration offers significant advantages, it requires careful implementation and ongoing adaptation. Future research should focus on long-term impacts, such as AI's influence on workforce diversity, job displacement, and its role in organizational culture. Further studies could explore the scalability of AI in talent management across different industries and its potential for enhancing global workforce collaboration.
Copyrights © 2023