The Role of Artificial Intelligence in Advancing Health, Education and Economic Sustainability

Artificial intelligence is increasingly recognized as a transformative technological infrastructure capable of reshaping core sectors that underpin sustainable development, particularly health, education, and economic systems. This paper examines how AI-driven analytics, automation, and data integration enhance diagnostic accuracy, optimize healthcare delivery and support public health monitoring, while in education they enable personalized learning, intelligent assessment, and improved institutional decision-making. From an economic perspective, the study explores AI’s contribution to productivity growth, innovation ecosystems, labor market restructuring, and evidence-based policy planning for sustainable growth. At the same time, the analysis highlights persistent challenges, including algorithmic bias, unequal digital access, ethical risks, workforce displacement, and governance gaps that may limit inclusive benefits. By synthesizing interdisciplinary scholarship and policy perspectives, the paper argues that AI’s developmental value depends not merely on technological advancement but on institutional capacity, regulatory oversight, and equitable implementation strategies. It concludes that when aligned with human-centered governance and long-term sustainability goals, artificial intelligence can function as a strategic enabler of resilient social systems, adaptive learning environments and inclusive economic transformation.