International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
AI at Work: To Know Whether Technology Improves or Damages Work–Life Balance
| Author(s) | Mrs. Josephin G, Dr. Well Haorei |
|---|---|
| Country | India |
| Abstract | Artificial Intelligence (AI) is rapidly changing the work experience of employees and poses new opportunities as well as risks to work-life balance. This review article summarizes the recent literature to determine the impact of AI-based technologies on the time usage, well-being, and boundaries of employees between personal and professional life. On the one hand, AI can automate routine processes, allow flexible work, work at home, and smarter scheduling, as well as deliver data-driven wellbeing insights that may alleviate overload, burnout, and absenteeism, and increase productivity as well as job satisfaction. Women and employees in the rural workforce will especially benefit from these advantages because AI will help them access more flexible jobs, education, and health services. Nevertheless, the review also lists such severe challenges as technostress, constantly upskilling requirements, work-home barriers, social disconnection, job insecurity and constant connectivity that may harm mental health and life satisfaction. Based on these ambivalent results, the article provides some practical suggestions that organizations, employees, and HR teams can apply AI in an ethical and strategic manner, including restricting after-hours digital requests, investing in AI literacy and privacy, and designing human-focused policies. The general finding is that AI may greatly improve the work-life balance only when it is supported by a positive culture, a set of rules, sufficient training, and protection against excess workload. |
| Keywords | Work-Life Balance, Artificial Intelligence, Technology Use, and Digitalization. |
| Field | Business Administration |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-01-15 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.66605 |
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