The Future of Work: AI and Hybrid Workforce Management
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Keywords:
Artificial Intelligence, Hybrid Workforce, Workforce Management, Employee Productivity, Digital Transformation
Abstract
Artificial intelligence (AI) and hybrid work models are transforming workforce management practices in modern organizations. AI-driven technologies such as workforce analytics, intelligent scheduling, recruitment automation, and collaboration systems improve productivity, communication, and organizational flexibility in hybrid work environments. This study examines the role of AI in hybrid workforce management and its impact on employee engagement, productivity, and organizational performance. The study adopts a literature review methodology using recent scholarly articles related to AI-driven workplace transformation and hybrid workforce systems. The findings reveal that AI technologies enhance workflow coordination, workforce planning, and employee collaboration. However, challenges such as technological fatigue, privacy concerns, and workforce adaptation continue to affect implementation. The study concludes that organizations should combine AI technologies with human-centered management approaches to build sustainable and flexible hybrid workplaces.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


