Document Type : Original Article
Authors
1
Department of International Relations, Faculty of Law and Political Science, Allameh Tabatabai University, Tehran, Iran.
2
Department of Global and Trans-Regional Studies, Faculty of World Studies, University of Tehran, Iran.
10.22059/jices.2026.408281.1107
Abstract
With the growth of AI-related technologies, countries at the governance level are increasingly realizing the importance of precise policymaking in the field of Artificial Intelligence. Experience shows that correct governance in this area can be a catalyst for the economic development of developing countries. The central question is: How have the differences in the AI governance strategies of China and India affected the quality of their economic development from 2017 to 2024? This study employs a deductive logic within the framework of integrating Neo-Technological Realism and Endogenous Economic Growth theories to test the hypothesis that the different models of AI governance in these two countries, despite other similarities, have led to significant differences in the quality of their economic development.To this end, using indicators such as Growth Domestic Product (GDP) growth rate, GDP per capita based on Purchasing Power Parity (PPP), the share of the digital economy in total GDP, labour productivity growth, exports of advanced technology goods and services, and foreign direct investment inflow into AI-related sectors, it is demonstrated that China, with its centralized, authoritarian policies and massive investment, has followed a path of rapid but unequal development. Meanwhile, India, with its participatory, gradual, and human-centric policies, has followed a more stable and equitable development path.The findings of this research indicate that technological governance patterns can have a significant impact on the quality of a country's economic development.
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