International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Does AI adoption enhance productivity without proportionately increasing employment in the formal sector? A comparative study of the USA and India.

Author(s) Ranvirr Pardasani
Country India
Abstract This study examines whether the adoption of AI enhances productivity without proportionally
increasing employment in the formal sector, comparing trends in the United States and India. There are
plenty of examples of productivity improvements that are driven by AI. Generative AI tools have
increased service productivity by 15%, while developers using AI assistants are completing tasks up to
56% faster. Unfortunately, we appear to be far behind our productivity gains when it comes to
increasing employment. The U.S. has half of the existing jobs with some potential for exposure to AI,
and even amid climbing wages for not only specialized roles, but the demand for routine jobs that are
automated, to preclude the presumed demand for jobs. In India, growth in AI-related job postings and
salaries has been rapid; however, it's unclear whether the AI and/or external market forces are
suppressing the growth rate of non-AI jobs in India, as we see a statistically significant reduction in
non-AI job postings within three years of AI job posting adoption. These trends capture consistency in
the productivity growth following AI adoption, which isn't matched by job creation (particularly, mid
and low skill work). Policymakers must develop large-scale, population-level reskilling, policy reform
regarding the education of the community, and broaden inclusion regarding AI adoption to safeguard
labor-market impacts.
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-19
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.55639

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