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ECONOMIC IMPACT OF ARTIFICIAL INTELLIGENCE ON INEQUALITY AND INCLUSIVE GROWTH UNDER SDG10

AUTHORS:
Shivani Mali
Mentor
Affiliation
Marathwada Mitramandal’s College of Commerce, Pune (MMCC)
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

This research paper investigates about the role of Artificial Intelligence in transforming modern  economies by enhancing productivity and innovation. SDG 10 focuses on Reduced Inequalities.  The potential of AI to reduce the inequality and promoting inclusive economic growth is highly  important in a changing world order. It has been observed that AI can help to improve access to  education, healthcare, and digital services. It also improves the status of businesses and boosts  economic expansion leading to improved living standards. To achieve the SDG 10 goals  correlation of income inequality and capability of AI to overcome it must be understood. To reflect  upon the distribution of income in a population Gini coefficient is used as an economic perspective.  The inclusivity of AI to reduce inequality by promoting productivity growth supporting innovation  and enabling various government policies is discussed. To decrease the gap between developed  and under-developed countries AI helps to access digital markets and financial systems. In certain  situations, AI can increase inequality. Workers who are not equipped with necessary skills may be  replaced due to automation. The gap between developed and underdeveloped countries may further  widen due to unequal access to technology and digital infrastructure. To ensure AI’s role to  enhance inclusive economic growth proper government policies, investment in education and skill  development are required. With proper implementation of AI’s role in reducing inequality the  goals of SDG 10 can be achieved which will eventually lead to Sustainable Economic  Development.

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Mali, S. (2026). Economic Impact of Artificial Intelligence on Inequality and Inclusive Growth under SDG10. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.096

Mali, Shivani. "Economic Impact of Artificial Intelligence on Inequality and Inclusive Growth under SDG10." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.096.

Mali, Shivani. "Economic Impact of Artificial Intelligence on Inequality and Inclusive Growth under SDG10." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.096.

References
1.Dasgupta, M. (2016) Economic Inequality in India and Some Other Countries. (M., 2016) 2. Acemoglu, D., & Restrepo, P. (2020). Artificial intelligence and jobs: Evidence from US  labor markets. Cambridge, MA: National Bureau of Economic Research.

2.Felten, E., Raj, M., & Seamans, R. (2023). How will artificial intelligence affect inequality? The role of productivity and labor market adjustment. Journal of Economic Perspectives, 37(4), 85–108. American Economic Association.

3International Monetary Fund. (2025). The global impact of artificial intelligence: Mind the gap. Washington, DC: International Monetary Fund.

4.Lee, J., & Kim, S. (2024). Artificial intelligence, technological progress, and income inequality: Empirical evidence from global economies. Technology in Society. Elsevier. 6. World Bank. (2024). World development report 2024: Digital transformation and development. Washington, DC: World Bank.

5.World Bank. (2024). Gini index (World Bank estimate). World Development Indicators database. Washington, DC: World Bank.

6.United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. New York, NY: United Nations.

7.OECD. (2019). Artificial intelligence in society. Paris: OECD Publishing. 10. Korinek, A., & Stiglitz, J. E. (2021). Artificial intelligence and its implications for income distribution and unemployment. Cambridge, MA: National Bureau of Economic Research.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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