The Sustainable Development Goals (SDGs) provide a global framework for addressing critical social, economic, and environmental challenges by 2030. This paper argues that Artificial Intelligence (AI), when responsibly guided, can be a catalyst for accelerating SDG achievement. Through a qualitative analysis of literature, case studies, and application-driven examples, we show that AI contributes to key goals: poverty reduction (predictive analytics for resource allocation), zero hunger (crop monitoring and supply chain optimization), better healthcare (early disease detection and personalized treatment), and climate action (advanced forecasting models). Despite these opportunities, significant challenges exist, such as ethical concerns, algorithmic bias, and data privacy risks, which may hinder equitable and sustainable outcomes. To realize AI’s transformative potential, future research should focus on responsible AI frameworks, participatory governance, and interdisciplinary collaboration, ensuring solutions are transparent, inclusive, and aligned with sustainability. We call on policymakers, researchers, and practitioners to actively collaborate, invest in robust governance, and prioritize ethical considerations to harness AI for measurable progress toward the SDGs.