This chapter discusses the experiences of countries worldwide in deploying AI in pursuit of the SGD agenda. Specifically, seven short representative case studies are investigated. Economies across the globe are leveraging AI to accelerate progress towards achieving the SDGs, with notable successes in areas such as healthcare, education, and environmental sustainability. In SDG 3 (Good Health and Well-Being), AI-driven technologies have been pivotal in diagnosing diseases, predicting outbreaks, and improving access to medical care in underserved regions. For instance, Rwanda has employed AI-powered platforms to enhance diagnostic accuracy in remote health centres, reducing reliance on specialised healthcare providers. Similarly, India has used AI tools to monitor child malnutrition and improve maternal health outcomes, aligning with SDG 2 (Zero Hunger). These technologies enable data-driven decision-making and resource allocation, maximising impact with limited resources. In environmental sustainability, countries like Denmark and Singapore use AI to optimise energy use and reduce carbon footprints, directly supporting SDG 13 (Climate Action) and SDG 7 (Affordable and Clean Energy). AI-powered systems analyse energy consumption patterns, predict renewable energy outputs, and enhance grid management efficiency. In agriculture (SDG 2), nations like Kenya have adopted AI to support precision farming, improving crop yields while conserving resources such as water and fertilisers.