The application of artificial intelligence on ships, in addition to operations, is also designed and built. At present, the design and construction of ships generally use software, robotic arms, etc., which is an initial level of artificial intelligence. South Korea and Japan, which are ahead of this, now have complete intelligent design, production operation and operation management systems; they have intelligent control systems from ship design, R&D to construction. Welding robots, assembly robots, painting robots, palletizing robots, and handling robots have been used in shipyards. They have largely surpassed traditional robots and have obvious effects in reducing errors, increasing productivity, and saving costs. In August 2014, the new shipbuilding construction tool for the development of Daewoo Shipbuilding Marine in South Korea, the exoskeleton power pack, began to be used at the shipbuilding site. This exoskeleton power pack can be worn on workers to assist workers in carrying heavy loads. It can be said that artificial intelligence has been widely used in shipbuilding operations, but due to the non-standardization and customization characteristics of marine products, there are still some difficulties in the application of robots in shipyards. So, can artificial intelligence with deep learning ability make this problem no longer a problem? This deserves our deep thinking and bold attempts.