AI-DRIVEN TALENT ANALYTICS FOR STRATEGIC HR DECISION-MAKING IN THE UNITED STATES OF AMERICA: A REVIEW

Abstract

This paper review ways AI and analytics are transforming HR decision-making in American organizations. It explores the adoption of these technologies in the U.S., their impact on optimizing talent management, and the broader implications for organizational growth and employee well-being. In the rapidly evolving landscape of Human Resources (HR), the integration of Artificial Intelligence (AI)-driven talent analytics has emerged as a transformative force. This review explores the application of AI-driven talent analytics in the United States, specifically focusing on its role in strategic HR decision-making. The analysis delves into the current state of AI adoption in HR practices, the challenges and opportunities it presents, and the impact on organizational performance. Key topics covered include predictive analytics, talent acquisition, workforce planning, and employee engagement. Through a comprehensive examination of existing literature and case studies, this review aims to provide insights into the ways AI-driven talent analytics shapes strategic HR decisions and contributes to organizational success in the U.S. context. The findings underscore the imperative for HR professionals and organizational leaders to navigate the evolving landscape of AI in talent management, fostering a deeper understanding of its potential benefits and challenges for informed decision-making.
 Keywords: Artificial Intelligence; Talent Analytics; Human Resources; Decision-Making; USA.