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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

A STUDY ON THE IMPACT OF AI AND AUTOMATION ON JOB ROLES

Basavraj Nandkumar Torkade

Prof. Kanif Satav

MBA Department

Dhole Patil College of Engineering Pune

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence (AI) and automation technologies are rapidly transforming the nature of work in modern organizations. Many industries are adopting AI tools to improve productivity, reduce errors, and enhance operational efficiency. However, the increased use of automation has also created concerns related to job security, workforce adaptation, and the need for new skills. The main objective of this research is to study the impact of Artificial Intelligence and automation on job roles, productivity, and employee skill requirements. The study is based on primary data collected from 81 respondents using a structured questionnaire. The collected data was analyzed using percentage analysis and tabular representation methods to understand employee perceptions regarding AI adoption.  The findings of the study show that most respondents believe Artificial Intelligence improves productivity, saves time, and enhances decision-making processes. Many respondents also agreed that automation reduces workload and improves work accuracy. However, a small percentage expressed concerns about job displacement and the need for continuous skill development. The study concludes that Artificial Intelligence and automation have a significant impact on job roles. While these technologies improve efficiency and create new career opportunities, they also require employees to upgrade their technical skills and adapt to changing workplace environments

Keywords-

Artificial Intelligence, Automation, Job Roles, Productivity, Workforce Adaptation, Skill Development, Technology Adoption

How to Cite this Paper

Torkade, B. N. (2026). A Study on the Impact of AI and Automation on Job Roles. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.911

Torkade, Basavraj. "A Study on the Impact of AI and Automation on Job Roles." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.911.

Torkade, Basavraj. "A Study on the Impact of AI and Automation on Job Roles." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.911.

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References


  1. Stuart Russell and Peter Norvig (2021). Artificial Intelligence: A Modern Approach. Pearson Education.

  2. Erik Brynjolfsson and Andrew McAfee (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

  3. McKinsey Global Institute (2019). The Future of Work in the Age of Automation. Retrieved from official McKinsey reports.

  4. World Economic Forum (2020). The Future of Jobs Report. Retrieved from official WEF publications.

  5. International Labour Organization (2021). Automation and Employment Report. Retrieved from ILO official website.

  6. Artificial Intelligence Basics — Tom Taulli (2020). Artificial Intelligence Basics: A Non-Technical Introduction. Apress.

  7. IBM (2022). Artificial Intelligence and Workforce Transformation Reports. Retrieved from IBM official resources.

  8. Harvard Business Review (2021). Articles related to Artificial Intelligence and automation in workplaces.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 29 2026
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