This paper presents an exploratory study to provide a broad outline of how AI-facilitated strategies are advancing or aiding in the accomplishment of the Sustainable Development Goals (SDGs), serving as an introduction to such a prospective analysis. In particular, this paper highlights the advancements in areas such as (1) AI-powered medical diagnostics and disease forecasting for enhanced health and well-being, (2) AI-mediated educational interactions for enriched learning experiences in tertiary institutions, (3) AI-supported prompt detection of oil spills to mitigate pollution, and (4) AI-informed predictions of urban land use and cover changes, along with other modern AI applications. These examples are briefly examined and demonstrate that AI-driven methods surpass conventional approaches in accuracy, efficiency, optimization, decision-making, and predictive capabilities. Concentrating on the SDGs, the insights provided in this paper support the data-backed claim that AI-centric paradigms are closely linked with intelligent decision-making, which can, in turn, contribute to the effective and resilient design, implementation, and strategizing of our planet’s future sustainability.