Shanghai Builds a Place to Test AI Before It Goes to Work in the Port

Most AI in ports is tried on live work and judged later, if at all. Last week's survey showed that only 11% of port experts measure what AI gives back. Shanghai is trying a different order: test first.

What is being built. Shanghai International Port Group, the company that runs the port of Shanghai, has started building an AI test base for shipping and logistics, with university and industry partners. It will cover three areas: cargo handling in the port, transport between the port and inland, and transport that combines ship, rail and road. The base will have its own computing power, data storage and security, sets of real industry data, AI models, and a platform to manage AI agents. The aim is to move AI from development into daily work.

The number. 54 AI agents built for business tasks are already registered for testing and use.

The bigger plan. The news came with a new action plan from Shanghai's city transport authority on using AI in transport. It names three priorities: large AI models and agents for transport, good industry data, and computing power. A regional centre for an alliance that works on large AI models for transport was also set up. It covers Shanghai and three neighbouring provinces.

What is missing. No budget. No names of partners. No finish date. We are not told what the 54 agents do, who built them, or what an agent must show before it is allowed onto live work.

Why it matters. The idea is right, and it is the same idea as story 2. Give AI a safe place with real data, test it against something, and only then let it near ships and cargo. The world's busiest container port doing this in a formal way will be noticed by other ports.

What a ship manager can copy. You do not need a test base. You need one old voyage, one closed month of invoices or one finished dry dock. Give the AI tool that real, past data and compare its answer with what really happened. If a supplier will not do that test with your data, that tells you something too. [Smart Maritime Network · AiatSea, 8 November]

This story is part of the Maritime AI Digest of 15 November 2026.