Artificial Intelligence (AI) is rapidly transforming various sectors across Sub-Saharan Africa, presenting unique challenges and opportunities in the region's social, economic, and environmental landscape. This paper explores how AI can be effectively navigated within these landscapes to promote sustainable development and inclusive growth. Through a comprehensive analysis of existing literature and case studies, the study examines the current state of AI adoption in Sub-Saharan Africa and its potential impact on key areas such as healthcare, finance, agriculture, and climate change mitigation. The paper highlights the importance of considering the interconnected nature of social, economic, and environmental factors when developing and deploying AI solutions. It emphasizes the need for ethical considerations, capacity building, and collaborative efforts to ensure that AI benefits diverse populations while mitigating potential risks. The findings provide insights into the drivers and barriers of AI adoption in Sub-Saharan Africa and offer recommendations for navigating the complex landscape of AI in the region. This paper contributes to the growing body of knowledge on AI in developing countries and serves as a foundation for future research and practice in the Sub-Saharan African context.