AI-Powered HR Revolution: Pioneering Workforce Engagement and Retention through Intelligent Automation
Year: 2025
Type: article
Abstract: This article explores how cutting-edge artificial intelligence and intelligent automation are revolutionizing human resources operations with a strategic focus on enhancing employee engagement and retention. It traces the evolution of HR technology from rudimentary administrative tools to sophisticated autonomous systems, highlighting how advanced machine learning algorithms, natural language processing, and predictive modeling enable hyper-personalized employee experiences, real-time sentiment analysis, and autonomous intervention systems for unprecedented workforce optimization. The research examines how neural networks and deep learning applications transform organizational climate monitoring through multi-dimensional sentiment analysis and communication pattern recognition. The article details how predictive analytics and reinforcement learning algorithms revolutionize retention strategies through sophisticated attrition risk modeling, AI-driven personalized interventions, and automated career path optimization. While addressing critical implementation challenges related to data privacy, algorithmic bias, and digital transformation management, it demonstrates how forward-thinking organizations effectively leverage these technologies to achieve substantial improvements in workforce satisfaction, productivity, and stability across multiple sectors. By presenting actionable frameworks and implementation roadmaps for integrating advanced AI technologies into strategic human capital management approaches, the article provides HR professionals and organizational leaders with comprehensive guidance for orchestrating this technological revolution.
Author: Shreyas Subhash Sawant
Institution: Stevens Institute of Technology
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411218670