81 Photo: iStock/imamember right information reaches the right organisation at the right time. The same broader perspective applies to economic value. Cruise ports often have relatively limited direct revenue sources, while passengers generate economic activity across the destination through transport, attractions, shopping, dining and excursions. Location, passenger flow and spending data could show where passengers go and what economic value they generate. AI could go further by using ship characteristics, passenger profiles, call duration and previous behaviour to predict where guests are likely to travel, where congestion may occur and how economic activity may be distributed across the destination. This becomes increasingly important as ships grow larger. A terminal may efficiently process 5,000 or 6,000 passengers, but those passengers then move into transport networks, attractions and shopping districts, often within a narrow time window. Cruise infrastructure planning therefore needs to expand from terminal capacity to destination capacity. Predictions of passenger movements and congestion could support bus allocation, departure times and visitor routes, helping manage overtourism while spreading economic benefits more widely. Beyond the destination, ports also need to look outward, because each is part of a wider network. Cruise ports also face uncertainty they cannot control. Weather, geopolitical events and deployment changes can alter or cancel calls at short notice. A cruise port is one node within an itinerary, and its attractiveness depends partly on surrounding ports, sailing distances, source markets and deployment strategies. AI could combine weather and ocean data, vessel characteristics, berth conditions and itinerary information to predict disruption risks. If a planned call becomes difficult, it could help identify suitable alternative ports and evaluate the implications for the wider itinerary. Taken together, these threads point to a broader shift from the smart terminal to the connected cruise port. Over the next five to 10 years, AI agents, digital twins, advanced 3D technologies, robotics and physical AI could create new possibilities for cruise ports, connecting information, simulation, decision-making and action across the cruise port ecosystem. The future should therefore not be about creating a smart terminal alone. Cruise ports could evolve into connected cruise ports, linking ships, terminals, transport, energy, destinations, airports and other ports. The real value of AI is not simply to introduce more technology into ports. It is to make complex cruise operations more predictable, better optimised and more connected, ultimately enhancing one of the fundamental roles cruise ports have always performed: orchestration.
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