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PEER-REVIEWED
Quantitative Study
| Published: March 22, 2026
AI Adoption and Workforce Preparedness: Implications from a District-Level Study in Andhra Pradesh
Student of II M.Sc. Psychology, JAIN (Deemed-to-be University), Bengaluru, India.
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Assistant Professor, Department of Psychology,JAIN (Deemed-to-be University), Bengaluru, India.
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DIP: 18.01.178.20261401
DOI: 10.25215/1401.178
ABSTRACT
This mixed-methods study examines the psychological impact of Artificial Intelligence (AI) adoption among employees in semi-urban India, focusing on Rajahmundry, East Godavari District, Andhra Pradesh. Using both quantitative (SPSS v26) and qualitative (NVivo v14) techniques, data were gathered from 120 participants across banking, IT-enabled services, healthcare, education, and agri-tech sectors. Results indicate that structured AI training (β = 0.53, p < 0.01) and perceived usefulness significantly enhance positive attitudes toward AI, while age (r = –0.39, p < 0.05) and sectoral differences predict anxiety and resistance. Qualitative themes—Empowerment vs. Displacement, Lack of Exposure = High Anxiety, and Trust in Training—reveal cognitive and emotional nuances underlying employee adaptation. The study underscores the necessity of human-centered AI integration emphasizing empathy, communication, and training.
Keywords
Artificial Intelligence, Employee Attitudes, Psychological Adaptation, Training, Anxiety, Semi-Urban India
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.
© 2026, Koti, V.M. & Supriya, E.
Received: February 14, 2026; Revision Received: March 18, 2026; Accepted: March 22, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.178.20261401
10.25215/1401.178
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Published in Volume 14, Issue 1, January-March, 2026
