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Artificial Intelligence in the Global Economy: Propelling Development or Deepening Inequality?
Abstract
The question of economic development has been the subject of extensive academic scrutiny. In this study, we contribute to the literature by examining development through the lens of the fourth industrial revolution, focusing on two key areas. First, we analyze the potential impact AI may have on developing countries in terms of productivity. Second, we investigate whether information and communication technologies (ICTs) and emerging technologies, particularly AI, will benefit or harm developing economies in terms of income inequality. Our research follows a theoretical and conceptual approach, drawing from established theoretical frameworks and previous studies. We systematically examine existing literature and relevant data to identify patterns and extract meaningful conclusions. Our findings on the first question are mixed; while AI adoption presents opportunities for developing countries, it also raises concerns about potential negative effects on their terms of trade. AI challenges the comparative advantage of unskilled labor, which is a crucial economic driver in these nations. On the second question, the literature and data present a mixed, yet general trend: income inequality tends to decrease with the adoption of ICT in developing countries. In many cases, the diffusion of digital technologies, AI, and ICT, although boosting overall productivity, appears to favor those in skilled labor positions, raising concerns about income disparities.