2026 Physical AI and World Model Conference Opens in Nanjing, China’s First High-Level Industry Conference of Its Kind

Leaderobot.com reported on Oct. 20, 2026, that the 2026 Physical AI and World Model Conference is being held in Nanjing from Oct. 19 to 22. The event is organized by Jiangsu Data Group, Nanjing Big Data Group and the Chinese Association for Artificial Intelligence. The article describes it as China’s first high-level, comprehensive industry conference dedicated to Physical AI and world models.

The involvement of Jiangsu Data Group, Nanjing Big Data Group and the Chinese Association for Artificial Intelligence shows that Physical AI and world models are being discussed not only as academic topics but also at the intersection of data infrastructure and industrial applications. The conference includes exhibitions of industrial achievements, project signings and capital support, putting the connection between deployment and funding in focus alongside research and development.

What is new about this conference is that it brings Physical AI and world models together as central topics for an industry-wide event, rather than treating them simply as technology themes for individual companies. At the same time, based on the information provided, its defining feature is not specific product announcements or investment deals, but the inclusion of topics such as health care world models, industrial world models, data development, autonomous driving and embodied intelligence in one forum. In other words, it appears designed to connect hardware, data, models and industrial applications. Our related article, NVIDIA and OpenAI: Investment Debate Resurfaces Amid Interest in Physical AI in Chinese Reports, outlined three areas of discussion: virtualization and 3D data; industrial control and semiconductors; and precision manufacturing and hardware. The Nanjing conference can be seen as an effort to elevate those issues from individual investment debates to an industry-wide discussion. However, the source is an opinion and introductory article, and it does not provide details of specific contracts or outcomes; readers should consult the source for more information. From an industry-structure perspective, the conference underscored the need to connect data infrastructure, world models, industrial control and embodied robots for Physical AI to take shape. The inclusion of both health care and autonomous driving on the agenda points to an intention to apply common foundational technologies across multiple real-world uses, but the available information does not establish which areas will advance first. The next points to watch are which companies and research institutions make announcements during the conference, and how many capital partnerships or project signings are actually concluded.

For Japan, an important question is how far discussions of world models spanning health care, autonomous driving and embodied intelligence will be accompanied by the development of data infrastructure that connects research and deployment. In particular, if industry-academia collaboration on collecting, managing and using real-world data advances at events like this in China, it could provide a point of comparison for Japanese research institutions and companies.