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Artificial Intelligence and Inequality: The Role of Gini’s Coefficient and Perelman’s Model in the Assessment of the Economic Trends

In: Transformational Drivers of National Economies: A New Analytical Framework Addressing Transitional Growth Model

Author

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  • Davit Gondauri

    (Business and Technology University)

Abstract

The article provides the research regarding the impact of Artificial Intelligence and Automatization in relation to Economic Inequality. The research is projected by the modeling of changes in Gini’s Coefficient. At the same time, the research is based on the Ricci flow and Perelman’s Models, applied for the examination of sixteen different economic parameters on the example of the Republic of Georgia. Based on the sensitive analyze, the increase of Artificial Intelligence and the technological innovations are directly related to the tendency of reduction in the rate of inequality distribution. The article provides the regression models, showing that the increased investments in the field of Artificial Intelligence and Research & Development have a very significant influence on the improvement of the overall economic stability, where R2-determination and Z-statistics confirm the accuracy of the models.

Suggested Citation

  • Davit Gondauri, 2026. "Artificial Intelligence and Inequality: The Role of Gini’s Coefficient and Perelman’s Model in the Assessment of the Economic Trends," Springer Proceedings in Business and Economics, in: Luminita Chivu & Valeriu Ioan-Franc & George Georgescu & Ignacio De Los Ríos Carmenado & Jean-Vasile (ed.), Transformational Drivers of National Economies: A New Analytical Framework Addressing Transitional Growth Model, chapter 8, pages 155-174, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-18962-2_8
    DOI: 10.1007/978-3-032-18962-2_8
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