Abstract
In the modern industrial world is fast-paced and changing at rates not experienced previously. The introduction of A I in the Manufacturing sector is shifting the way we manage in workplace. The main purpose of this study is to examine the alternative uses and effects of integrating AI into the improved work life balance for employees through automation of routine tasks, improved scheduling of personnel, and data-informed decision-making in HR management. AI based tools including predictive analytics, virtual assistants, and intelligent monitoring systems are allowing organizational actors to decrease employee stress, improve productivity of employees, and promote flexible work arrangements while working in organizational contexts that previously emphasized rigid unyielding manufacturing efforts. The research paper seeks to assess how AI applications can facilitate a more effective approach to time, well-being, and feelings of satisfaction in jobs through examining the manner of applications of AI. The research study will also monitor operational challenges of addressing ethical considerations, displacement of human jobs through automation, and digital upskilling. Data for the study will utilize recent literature and case examination of manufacturing organizations that have adopted AI based HR and operation systems. The conclusion of the study affirms the paths of work-life balance through AI intersection are best managed through harmonizing the human-centered management practices with technological approach. Keywords: Employee Work-Life Balance, Artificial Intelligence adoption, Employee Well-being, and Time Management.
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