Authors :
Prescilla D.; Dr. Manoj Kumara N. V.
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/499m8pra
Scribd :
https://tinyurl.com/ms93sxw4
DOI :
https://doi.org/10.38124/ijisrt/26aug511
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
In the present era of digital transformation, Artificial Intelligence (AI) is reshaping organizational structures
and redefining workforce dynamics, especially in the IT sector. This study explores the impact of AI on employee roles,
skills and organizational practices in select districts of Karnataka—Mysuru, Bengaluru, Mangaluru, and Hassan. The
relevance of the topic is underscored by the rapid integration of AI tools in human resource functions and the growing
need to address employee adaptability and preparedness. The objective of the study is to assess perceptions of HR
professionals and executives regarding AI’s influence on job structures and identify areas requiring support and
intervention. The study adopts a descriptive research method using primary data collected through a structured
questionnaire with a 5-point Likert scale. A total of 50 respondents were selected based on purposive sampling. Descriptive
statistics and ANOVA were used to analyze the data. The findings reveal that while AI improves productivity and
decision-making, it also brings challenges such as skill gaps, ethical concerns and varied levels of organizational support.
The study suggests targeted training, ethical AI policies, and improved readiness as key responses. Future research can
expand into industry-wide and cross-regional comparisons.
Keywords :
Artificial Intelligence, Workforce, Skill Development, HR Practices, ANOVA.
References :
- Sadok, H., Chaibi, H., Chehri, A., & Saadane, R. (2024). The effects of artificial intelligence on the future of employment: Looking for a trend from a literature review. Procedia Computer Science, 246, 4194–4203. https://doi.org/10.1016/j.procs.2024.09.259
- Patil, D. (2024). Impact of artificial intelligence on employment and workforce development: Risks, opportunities, and socioeconomic implications. ResearchGate. https://www.researchgate.net/publication/385629231
- Nurlia, I., Daud, I., & Rosadi, M. E. (2023). AI implementation impact on workforce productivity: The role of AI training and organizational adaptation. Escalate: Economics and Business Journal, 1(1), 1–13. https://journal.takaza.id/index.php/escalate/article/view/1
- Rawashdeh, A. (2025). The consequences of artificial intelligence: An investigation into the impact of AI on job displacement in accounting. Journal of Science and Technology Policy Management, 16(3), 506–535. https://doi.org/10.1108/JSTPM-02-2023-0030
- Babu, N., Marda, K., Mishra, A., Bhattar, S., Ahluwalia, A., & Edupub Services. (2024). The impact of artificial intelligence in the workplace and its effect on the digital wellbeing of employees. Journal for Studies in Management and Planning, 10, 1–32. https://doi.org/10.5281/zenodo.10936348
- Kassa, B. Y., & Worku, E. K. (2025). The impact of artificial intelligence on organizational performance: The mediating role of employee productivity. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), Article 100474. https://doi.org/10.1016/j.joitmc.2025.100474
- Krishnan, S. G., Arundathi, K. L., Rangasamy, S., & Rawath, S. (2023). A study on the role and impact of artificial intelligence in recruitment processes: The perspective of HR professionals. Seybold Report, 18(5), 236–248. https://hal.science/hal-04850865
- Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), Article 100857. https://doi.org/10.1016/j.hrmr.2021.100857
- Baki, N. U., Rasdi, R. M., Krauss, S. E., & Omar, M. K. (2023). Integrating artificial intelligence in human resource functions: Challenges and opportunities. International Journal of Academic Research in Business and Social Sciences, 13(8), 1197–1211. https://doi.org/10.6007/IJARBSS/v13-i8/18071
- Yadav, M. K., & Dwivedi, N. (2023). Impact of AI on business. International Journal for Multidisciplinary Research (IJFMR), 5(3), 1–8. https://www.ijfmr.com/
- Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2023). Impact of artificial intelligence on employees working in Industry 4.0 led organizations. International Journal of Manpower, 44(1), 1–21. https://doi.org/10.1108/IJM-03-2021-0173
- Hossin, M. S., Ulfy, M. A., Ali, I., & Karim, M. W. (2021). Challenges in adopting artificial intelligence (AI) in HRM practices: A study on Bangladesh perspective. International Fellowship Journal of Interdisciplinary Research, 1(1), 66–73. https://doi.org/10.5281/zenodo.4480245
- Ganatra, N. J., & Pandya, J. D. (2023). The transformative impact of artificial intelligence on HR practices and employee experience: A review. Journal of Management Research and Analysis, 10(2), 106–111. https://doi.org/10.18231/j.jmra.2023.018
- Kumar, D., Manjula, H. K., & Sharma, P. (2023). Revolutionizing the workplace: The impact of AI on the modern workforce. Quest Journals: Journal of Research in Business and Management, 11(4), 99–106. http://www.questjournals.org/
- Gaikwad, H., Singh, S., & Sharma, N. (2025). The impact of artificial intelligence and digitalization on the workforce. International Journal for Novel Research in Economics, Finance and Management, 3(2), 248–255. http://www.ijnrefm.com
In the present era of digital transformation, Artificial Intelligence (AI) is reshaping organizational structures
and redefining workforce dynamics, especially in the IT sector. This study explores the impact of AI on employee roles,
skills and organizational practices in select districts of Karnataka—Mysuru, Bengaluru, Mangaluru, and Hassan. The
relevance of the topic is underscored by the rapid integration of AI tools in human resource functions and the growing
need to address employee adaptability and preparedness. The objective of the study is to assess perceptions of HR
professionals and executives regarding AI’s influence on job structures and identify areas requiring support and
intervention. The study adopts a descriptive research method using primary data collected through a structured
questionnaire with a 5-point Likert scale. A total of 50 respondents were selected based on purposive sampling. Descriptive
statistics and ANOVA were used to analyze the data. The findings reveal that while AI improves productivity and
decision-making, it also brings challenges such as skill gaps, ethical concerns and varied levels of organizational support.
The study suggests targeted training, ethical AI policies, and improved readiness as key responses. Future research can
expand into industry-wide and cross-regional comparisons.
Keywords :
Artificial Intelligence, Workforce, Skill Development, HR Practices, ANOVA.