Artificial intelligence, the Global South, and knowledge socialism

Artificial intelligence (AI) is transforming the global knowledge economy, creating unprecedented opportunities for innovation while simultaneously reproducing structural inequalities between the Global North and South. AI development is deeply intertwined with historical patterns of resource extraction, epistemic domination, and technological dependency, which perpetuate economic and cognitive asymmetries. This article examines how AI reinforces structural disadvantages in the Global South, focusing on three interrelated challenges: economic dependence and technological subordination, digital and infrastructural disparities, and inequitable access to knowledge resources. Drawing on decolonial theory and Michael A. Peters’ framework of knowledge socialism, the study argues for reconceptualizing knowledge as a public good, emphasizing collaborative production, capacity building, and inclusive governance mechanisms. By foregrounding systemic inequities and articulating practical strategies, this paper offers a normative and operational framework to promote equitable participation in the AI-driven global knowledge economy.