Artificial Intelligence (AI) systems, such as environmental and geospatial AI systems, have significant potential for a range of scenarios involving offshore deployment. These AI systems integrate satellite imagery, sensor data and environmental models to design floating cities, inform planning, model offshore renewable energy, monitor aquaculture facilities, and manage marine and offshore ecosystems. Urban AI refers to the integration of AI technologies to plan, design and implement urban environmental strategies to enhance efficiency, sustainability and governance. These Urban AI systems may oversee and use autonomous maritime robots to manage a range of offshore infrastructure requirements. For example, they may be used to track fish movements and optimise energy and water use in offshore fish pens. In turn, these maritime robots fall under the umbrella of AI systems that autonomously make decisions and take actions on their own based on algorithms and learned experiences, which are broadly referred to as Agentic AI. Unlike traditional AI, which typically respond to predetermined outputs, Agentic AI can evaluate situations, set goals, report on outcomes and adapt its behaviour to achieve those goals. Often, Agentic AI operate in dynamic environments, learning from interactions and improving their performance over time. Relevant to practitioners and scholars of AI systems are the ethics, control, legal and regulatory implications of granting agency in decision-making processes in offshore settings, particularly in settings with growing geopolitical contestation. Maritime laws such as the United Nations Convention on the Law of the Sea (UNCLOS) are not designed to address the unique issues presented by AI-driven technologies specific to ocean users. This chapter assesses the following challenges: the use of AI systems to plan, design and implement city management strategies and maritime robots deployed autonomously to monitor, evaluate and report on tasks. These present previously uncontemplated pressures on international maritime laws. We review scenarios for the use of Urban AI and Agentic AI, and discuss regulatory ambiguities, data ethics and privacy issues. Our review of recent AI regulation in the European Union and United States show that offshore development activities and maritime robots present novel considerations that have yet to be contemplated and urgently require coordinated governance and regulatory oversight.