Job Replacement Due to AI: Myth or Reality?

Abstract

Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the modern era, significantly influencing organizational operations, workforce structures, and productivity across industries. The ongoing debate regarding whether AI replaces human jobs or merely transforms them has gained considerable attention among researchers, policymakers, and business leaders. This study examines whether job replacement due to AI is a myth or a reality through a secondary data-based analysis of 2,000 employee records collected from seven industries, namely Finance, Information Technology, Manufacturing, Education, Marketing, Retail, and Healthcare. The study employs a descriptive and analytical research design and utilizes graphical and comparative analysis techniques to identify patterns associated with AI adoption, automation risk, job status, salary changes, productivity, and employee satisfaction. The findings reveal that AI significantly affects routine and repetitive tasks, leading to job modification and partial displacement in certain sectors. However, a substantial proportion of jobs remain unchanged, highlighting the complementary role of AI in the workplace. The study further indicates that AI adoption contributes to increased productivity, moderate salary growth, and the emergence of new skill requirements. The research concludes that AI should be viewed as a catalyst for job transformation rather than complete job replacement. Continuous learning, upskilling, and adaptation to AI-driven technologies are essential for employees seeking long-term career sustainability in the evolving labor market.

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DOI & Citation