Employees’ Attitudes Towards Artificial Intelligence and Job Insecurity

Authors

  • Alishba Iqbal Student, IPP, Bahria University, Karachi, Pakistan.
  • Hussain Mithaiwala Student, IPP, Bahria University, Karachi, Pakistan.
  • Mahnoor Farooqui Lecturer, IPP, Bahria University, Karachi, Pakistan.

Keywords:

Artificial Intelligence, Job Insecurity, Attitudes towards AI

Abstract

The current paper analyzed the connection between the attitudes of employees towards Artificial Intelligence (AI) and job insecurity in Pakistan’s organizations. Artificial intelligence is the use of different automated systems in workplace which assist, perform, or replace human beings by taking decisions and doing tasks. This created job insecurity among employees as they think that they are replaceable anytime sooner. Basing the research on the TAM model, the JD-R model, and the study was quantitative and cross-sectional in design. It was hypothesized that negative attitudes towards AI would result in higher perceived job insecurity. A purposive sampling method was adopted to collect data from 300 employees employed in five different departments (HR, Marketing, Management, Finance, IT). Standardized tools included the Attitudes Towards Artificial Intelligence at Work (AAAW) Scale, with job insecurity measured by section A5 of the AAAW Scale. Results revealed a significant correlation between employee attitudes towards AI and job insecurity, with more negative attitudes towards AI related to higher perceived job insecurity. These findings indicate that organizational support serves as a psychological buffer during technological transition periods. The current research offers the recommendations for the future researches along with the organizations as well.

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Published

2026-06-04

How to Cite

Iqbal, A., Mithaiwala, H., & Farooqui, M. (2026). Employees’ Attitudes Towards Artificial Intelligence and Job Insecurity. Journal of Social Sciences Research & Policy, 4(2), 239–246. Retrieved from https://jssrp.org.pk/index.php/jssrp/article/view/343

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Section

Articles