AI AND EMPLOYMENT IN BUSINESS: OPPORTUNITIES AND CHALLENGES
Dr. Gosavi Sunil W. · ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING · 2 Nov 2026
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Where this sits in the debate
- Will AI destroy more jobs than it creates? · its finding goes against the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Abstract
Abstract: Artificial Intelligence (AI) is reshaping employment by automating routine tasks, augmenting human capabilities and creating demand for emerging skills and occupations. While AI offers opportunities to improve productivity, support innovation and develop new business activities, it also raises concerns regarding job displacement, skill gaps, and employment inequality and job quality. This paper examines the relationship between AI and employment in business through secondary data and a critical review of institutional research. The International Labour Organization (ILO) estimates that one in four workers worldwide is employed in an occupation with some exposure to generative AI, although job transformation is considered more likely than complete replacement. The World Economic Forum (WEF) projects that AI and information-processing technologies could create 11 million jobs and displace 9 million by 2030. These projections highlight the simultaneous potential for employment creation and disruption. The paper analyses the implications for business functions, workforce skills and Indian enterprises. It argues that the employment impact of AI depends on how organisations integrate technology, redesign jobs and invest in human capital. The study recommends responsible AI adoption, continuous reskilling and stronger collaboration between businesses, educational institutions and policymakers to promote inclusive employment. Keywords: Artificial Intelligence, Employment, Job Displacement, Job Creation, Automation, Reskilling, Future of Work, Indian Business.
About this publication
Unranked journal. A journal that is not on the economics or computer-science rankings this guide uses. That says nothing about one paper, but no ranking vouches for the journal’s review.
- Published
- 2026 (recently)
- Citations
- 0 (OpenAlex)
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Reaches a different conclusion
Papers on the same question whose finding points the other way, as read from the abstracts by an AI model (AI-written). Why studies differ.
- Forecasting the Economic Effects of AI
Jobs: its finding supports the claim · Ezra Karger et al. · 2026 - Artificial intelligence and jobs: evidence from US commuting zones
Jobs: its finding supports the claim · Alessandra Bonfiglioli et al. · 2024
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