Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{210177,
        author = {Raunak Gupta and Yash Beloshe and Aniket Dudhane and Vedant Gaikwad},
        title = {Impact of Artificial Intelligence on the Economy and Employment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {6},
        pages = {47-64},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=210177},
        abstract = {Artificial Intelligence (AI) is reshaping production, business models and the nature of work. This study examines how people perceive the impact of AI on the economy and employment, using a structured online questionnaire completed by 71 respondents between 29 September and 2 October 2026. The sample was young (78.9% aged 18–25), predominantly male (63.4%), and drawn mainly from the IT sector (32.4%) and the student population (28.2%). Data were analyzed through frequency distributions, cross-tabulations, Pearson chi-square tests with Monte Carlo permutation p-values, Cramér’s V, and Spearman rank correlation. Respondents were largely optimistic: 94.4% agreed that AI improves economic productivity and 90.1% viewed its overall impact as positive. Yet 84.5% expected AI to reduce traditional jobs to some or a great extent, and job displacement was the most frequently cited concern (50.7%). At the same time, 77.5% believed AI would create new employment opportunities, 90.1% felt employees must learn new skills, and technical or digital skills were ranked most important (63.4%). Overall sentiment was significantly associated with familiarity with AI (V = 0.43), gender (V = 0.37) and the perceived effect of AI on employee productivity (V = 0.40), but not with age, education or sector. The findings point to a “transformation rather than replacement” view of AI that is consistent with recent IMF, ILO and World Economic Forum evidence, and underline the central role of reskilling. The small, non-probability sample limits generalization.},
        keywords = {},
        month = {November},
        }