<![CDATA[The rapid convergence of economics and information systems, accelerated by Artificial Intelligence (AI), has fundamentally transformed how value is created, measured, and exchanged in modern economies. Objectives, This study examines the relationship between economics and AI-driven information systems from a digital economy perspective, aiming to develop a framework for understanding information as an economic commodity and its transformative effects on markets and organizational structures. Methods, Employing a qualitative literature review approach, this research systematically analyzes studies from 1970 to 2025 sourced from Google Scholar, Research Gate, Sinta Database, and DOAJ, focusing on the theoretical foundations established by Romer (1990) and Shapiro & Varian (1999). Findings, This paper reveal that information possesses four distinctive characteristics—non-rivalry, high fixed costs with low marginal costs, quality uncertainty, and experience-good properties. Information systems serve as economic infrastructure facilitating coordination, decision-making, and value creation, while AI amplifies these functions through adaptive learning capabilities. Its identifies the "productivity paradox" phenomenon in AI investments, where tangible benefits require time to materialize and depend on complementary factors such as organizational culture and human capital. Digitalization-driven market transformation creates new business ecosystems which requiring adaptive regulatory. Implications, Based on this paper its suggest that organizations must develop new performance measurement frameworks, strengthen middle management roles in digital transformation, and adopt flexible yet protective macroeconomic policies that maintain competition and foster innovation. ]]>
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