Artificial intelligence (AI) is a transformative force with the potential to accelerate progress toward the United Nations' Sustainable Development Goals (SDGs). AI's capacity for data analytics and predictive modeling can enhance decision-making and resource allocation across various sectors. This chapter examines AI's role in advancing the SDGs, particularly in healthcare, education, and environmental management, while addressing challenges related to ethical considerations and equitable access. It incorporates evidence from various research reports and global frameworks, adopting the case study method. In healthcare, AI can shift the focus from reactive treatment to preventative, personalized care through medical imaging analysis, disease prediction, and remote patient monitoring. AI-powered platforms, coupled with data protection measures, can also expand educational access for all students including those in remote areas. In environmental management, AI can optimize resource use, monitor air quality, and develop smart cities. Ultimately, AI can catalyze global change, but its deployment requires coordinated action among governments, private enterprises, and civil society. In particular, the digital divide, energy demands, and algorithmic bias pose significant challenges to the equitable and sustainable deployment of AI. Policy recommendations include strengthening collaborative governance, scaling infrastructure investments, embedding ethical standards, advancing workforce development, and fostering public-private collaboration.