Impact of Artificial Intelligence on Human Jobs

Authors

  • Sumit Kumar Das, Syeeda Mujeebunnisa School of Science and Computer Studies,CMR UNIVERSITY, Bengaluru, India Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

Artificial Intelligence, Employment Impact, Job Displacement, Workforce Transformation, Human-AI Collaboration, Automation, Future of Work, Skills Development, Ethical AI

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has fundamentally transformed the global employment landscape, creating both unprecedented challenges and remarkable opportunities for the modern workforce. This research paper examines the multifaceted impact of AI on human jobs, analysing the complex dynamics of job displacement, creation, and transformation across various industries and demographic groups. Through a comprehensive analysis of recent data and empirical studies, this investigation reveals that while AI is expected to automate approximately 300 million jobs globally by 2030, it simultaneously promises to create 97 million new employment opportunities, resulting in a net positive job creation scenario. The research identifies three primary categories of AI impact on employment: job displacement, primarily affecting entry-level positions in customer service, data entry, and routine administrative tasks; job augmentation, where AI enhances human capabilities in healthcare, finance, and manufacturing; and job creation, generating entirely new roles such as AI trainers, human-AI collaboration specialists, and AI ethics officers. Current evidence demonstrates that early-career workers aged 22-25 face the most significant immediate risk, experiencing a 13% relative decline in employment in AI-exposed occupations since 2022, while more experienced workers in the same fields have maintained stable or growing employment rates.

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Published

08-09-2025

How to Cite

[1]
Sumit Kumar Das, Syeeda Mujeebunnisa, “Impact of Artificial Intelligence on Human Jobs”, Int. J. Sci. Inno. Eng., vol. 2, no. 9, pp. 254–264, Sep. 2025, doi: 10.70849/IJSCI.