Nikkei reports Kawasaki Heavy Industries president's remarks on physical AI

The Nikkei reported on Oct. 19, 2026, on remarks by the Kawasaki Heavy Industries president about domestically developed physical AI. The article highlighted an intention to accelerate development and a willingness to cooperate even with competitors.

Physical AI requires links among physical machines, control systems and data, based on publicly available information. How companies decide what to develop in-house and where to partner with others can affect the pace of implementation. The report matters because it suggests Kawasaki Heavy Industries may reconsider how it structures those efforts.

The significance of the report is that the Nikkei said Kawasaki Heavy Industries is focused on the pace of development, both inside and outside the company, around physical AI. Publicly available information does not make clear whether the focus is on the research stage, implementation or groundwork for commercialization. But with “domestically developed” and “speed up development” both in the picture, it is natural to view this as a push to accelerate the development structure and approach to partnerships, rather than simply a research introduction. The important point is that the reference to working even with competitors suggests this is an area where progress may be difficult through a closed, in-house approach alone. Physical AI News has no related articles, so a direct comparison with past coverage is not possible. However, physical AI requires links among the robot itself, control systems, training data and testing on physical machines. Based on publicly available information, it is difficult to make progress by strengthening just one of these areas. Therefore, the report may be focused more on how to bring in partners and advance development than on the novelty of a particular product. In other words, the question is not what research themes are being announced, but how resources and responsibilities needed for implementation will be allocated. See the original article for details. There are three points to watch. First, what areas of physical AI Kawasaki Heavy Industries has in mind. Second, whether “working with competitors” refers to joint research, standardization or component partnerships. Third, whether changes to its organizational structure or investment policy will accompany efforts to accelerate development.

For Japanese companies, the focus will be on how to secure not only robots and control systems, but also sites for testing on physical machines and training data. If Kawasaki Heavy Industries has signaled cooperation with competitors, how domestic machinery, electronics and software companies divide up the work could become an issue going forward.