The Blue Economy refers to the sustainable use of ocean resources to support development, improve livelihoods, and protect ecosystems. It plays a critical role in achieving global sustainability targets. However, ocean governance systems face increasing pressure from climate change, overexploitation, and pollution—challenges that are made worse by false alarms, data gaps, model inaccuracies, and delayed responses. Artificial Intelligence (AI) and other digital technologies offer significant potential to improve the accuracy, speed, and scale of decision-making in key marine sectors such as fisheries, offshore energy, marine spatial planning, and coastal resilience. The rise of the Fourth Industrial Revolution—with innovations like AI, big data, and the Internet of Things (IoT)—introduces new opportunities to modernize marine management. Tools such as satellite-based remote sensing, machine learning, and real-time monitoring are reshaping how marine ecosystems are managed. Yet, despite these advances, systemic integration of AI in ocean governance remains limited due to regulatory gaps, technological fragmentation, and ethical concerns. This chapter explores how AI and digital infrastructure can be leveraged to build more resilient, inclusive, and sustainable ocean governance frameworks.