OPEN ACCESS
PEER-REVIEWED
Quantitative Study
| Published: April 26, 2025
AI and the Perception of Workplace Stress in Employees
M.A. in Counseling Psychology, Amity Institute of Behavioral and Allied Sciences (AIBAS), Amity University, Lucknow Campus
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Assistant Professor, Amity Institute of Behavioral and Allied Sciences (AIBAS), Amity University, Lucknow Campus
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DIP: 18.01.083.20251302
DOI: 10.25215/1302.083
ABSTRACT
The rapid integration of Artificial Intelligence (AI) into professional environments has significantly reshaped employee roles and organizational workflows. While AI can potentially enhance productivity and reduce task burden, it also brings forward concerns related to job insecurity, increased task complexity, work-life balance, and the ability to adapt to technological changes. This study investigates how employees perceive AI’s influence on workplace stress through a mixed-methods approach involving both quantitative correlation analysis and qualitative thematic exploration. A structured survey was conducted among 60 professionals across IT, finance, education, and research sectors. The results indicated that negative perceptions of AI such as increased job insecurity and task complexity were positively associated with higher stress levels. In contrast, employees who adapted well to AI technologies reported improved work-life balance and reduced stress. Qualitative responses echoed these patterns, highlighting both enthusiasm for AI’s efficiency and anxiety over changing job expectations. The study offers a comprehensive perspective on AI’s psychological impact, emphasizing the need for organizations to support employee adaptation through transparent communication and skill-building initiatives.
Keywords
Artificial Intelligence, Workplace Stress, Employee Perception, Technological Adaptation, Job Insecurity
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2025, Sinha, G. & Sharma, S.
Received: April 16, 2025; Revision Received: April 22, 2025; Accepted: April 26, 2025
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.083.20251302
10.25215/1302.083
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Published in Volume 13, Issue 2, April-June, 2025
