Artificial Intelligence (AI) is emerging as a transformative technology with the potential to accelerate progress toward achieving the United Nations’ Sustainable Development Goals (SDGs). By enabling optimized decision-making, predictive analytics, and intelligent automation, AI offers innovative pathways to address global challenges such as poverty, climate change, inequality, and resource management. This paper explores the intersection of AI and sustainable development, analyzing key applications across social, economic, and environmental pillars. AI-driven solutions in agriculture improve crop yield prediction and water efficiency, contributing directly to SDG 2 (Zero Hunger). In healthcare, predictive models and intelligent diagnostics enhance disease surveillance and early intervention, supporting SDG 3 (Good Health and Well-being). AI’s role in renewable energy optimization aids SDG 7 (Affordable and Clean Energy), while data-driven urban planning fosters sustainable cities under SDG 11. Despite these opportunities, the ethical, social, and governance dimensions of AI—such as algorithmic bias, data privacy, and unequal access to digital infrastructure—pose significant challenges.  Integrating AI ethics with the SDG agenda can create a global ecosystem where technology serves humanity sustainably. The discussion concludes that AI, when guided by ethical principles and aligned with inclusive policy strategies, has the potential to serve as both an enabler and accelerator of the SDGs, transforming global development outcomes by 2030.