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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67343
Volume:
10 |
9 |
Sep 2026
Pages:
1-15
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
COMMERCE
GOVERNMENT ARTS COLLEGE NANDANAM CHENNAI -35
Department of Commerce,
Government Arts College, Nandanam, Chennai-600 035.
Artificial Intelligence (AI) is rapidly transforming the software industry by changing job roles, work processes, and skill requirements. The increasing use of AI technologies has created concerns among software professionals regarding job security and the possibility of job replacement. Such anxiety may influence employees' ability to adapt to changing career requirements and may also be associated with their work performance. Therefore, the present study examines AI job replacement anxiety, career adaptability, and employee performance among software professionals in Chennai. The study adopted a quantitative research approach with a descriptive and analytical research design. Data were collected from 120 software professionals in Chennai using a structured questionnaire. Proportionate random sampling was used for selecting the respondents. The collected data were analysed using percentage analysis, descriptive statistics, one-sample t-test, one-way ANOVA, Pearson correlation, and MANOVA. The findings indicate that software professionals experience AI job replacement anxiety above the neutral level, with concern about job security emerging as an important dimension. The study also indicates differences in career adaptability across age groups. A statistically significant negative relationship was observed between AI job replacement anxiety and career adaptability. Further, AI job replacement anxiety showed a statistically significant relationship with employee performance, including task, contextual, and adaptive performance. The study concludes that AI-related job anxiety is an important employee-related issue in the changing software work environment. Continuous skill development, AI-related training, career development programmes, and organisational support can help software professionals prepare for changing job roles and evolving skill requirements.
KEYWORDS
The present study examined the impact of AI job replacement anxiety on career adaptability and employee performance among software professionals in Chennai. The study found that software professionals experience a noticeable level of anxiety regarding the possibility of AI replacing or changing their jobs. Concerns related to job security, perceived threats from AI, skill obsolescence, and future employment were identified as important dimensions of AI job replacement anxiety. The study also examined career adaptability and found differences across age groups, particularly in the area of career control. The correlation analysis showed a statistically significant negative relationship between AI job replacement anxiety and career adaptability. This indicates that higher levels of AI job replacement anxiety were associated with lower levels of career adaptability in the study sample. Further, the analysis of employee performance indicated a statistically significant relationship between AI job replacement anxiety and different dimensions of employee performance, including task performance, contextual performance, and adaptive performance. The findings suggest that employees' concerns about AI-driven changes in their jobs are relevant to understanding their workplace performance and ability to adjust to changing work requirements. Overall, the study highlights the importance of addressing AI-related job anxiety, developing relevant technical and professional skills, and strengthening employees' career adaptability. Software organisations can support employees through continuous learning, AI-related training, career development programmes, and appropriate organisational support. Such initiatives can help software professionals prepare for changing job roles and evolving skill requirements. The study therefore contributes to a better understanding of the employee-related effects of AI adoption in the software sector in Chennai and provides a basis for further research on AI, career development, and employee performance.
Ayesha Saddiqua, Bashir Ahmad (2025), Impact of Employee Perception of AI on Career Anxiety: The Moderating Role of Career Centrality, Indus Journal of Social Sciences 3(3):207-218, DOI:10.59075/ijss.v3i3.1954. Revathi N, Latha maheswari. S (2026), A Study on the Impact of Artificial Intelligence on Job Transformation, International Journal of Novel Trends and Innovation (www.ijnti.org) , IJNTI, Volume 4, Issue 3 March 2026, ISSN: 2984-908X . Xiaoyu Wang (2026), The impact of career adapt-abilities on AI anxiety among English majors: a dual perspective analysis based on core self-evaluations at the person- and variable-centered, Front Psychol. 2026 Feb 20;17:1767791. DOI: 10.3389/fpsyg.2026.1767791, PMCID: PMC12963301 PMID: 41798034
Publication Date
9/18/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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