Downloads: 0
Research Paper | Information Technology | Volume 15 Issue 6, June 2026 | Pages: 1054 - 1058 | India
Analyzing the Impact of Artificial Intelligence Adoption on Economic Inequality: A Cross-Country Data-Driven Study
Abstract: The rapid integration of Artificial Intelligence (AI) into global economic systems presents a paradox of productivity and distribution. While AI drives aggregate growth, its impact on economic inequality remains theoretically ambiguous. This study investigates the empirical relationship between AI adoption and income inequality across a diverse cross-section of countries. Utilizing a compiled dataset derived from World Bank and OECD indicators, this paper employs Ordinary Least Squares (OLS) regression and Random Forest analysis to dissect this dynamic. The findings reveal a nuanced reality: AI adoption, in isolation, exhibits a positive correlation with the Gini index-suggesting it exacerbates inequality. However, this effect is heavily moderated by a country's educational infrastructure and baseline economic development. Developing nations face a stark "digital divide", where AI adoption coincides with rising inequality, whereas developed economies leverage educational capital to mitigate these adverse effects. These results underscore the necessity of policy frameworks that prioritize human capital alongside technological integration.
Keywords: Artificial Intelligence, Economic Inequality, Gini Index, Digital Divide, Skill-Biased Technological Change, Cross-Country Analysis, Human Capital
How to Cite?: Vinayak Kumar, Raghu Raja Mehra, "Analyzing the Impact of Artificial Intelligence Adoption on Economic Inequality: A Cross-Country Data-Driven Study", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 1054-1058, https://www.ijsr.net/getabstract.php?paperid=SR26614115643, DOI: https://dx.doi.org/10.21275/SR26614115643