Nikkei Reports Japanese Firms’ ‘Joint’ Components Draw Attention in Physical AI

On September 16, 2026, Nikkei reported that Japanese companies’ opportunity in physical AI lies in “joints,” which account for 50% of robot costs.

Nikkei’s report indicates that competition in physical AI involves not only software but also robot motion components. If joints account for 50% of costs, companies with expertise in component design, precision manufacturing and mass production are likely to be more affected.

The significance of this report is that discussion of physical AI is shifting from software alone to robot component design and cost structures. Nikkei’s headline focuses on “joints,” placing the starting point of competition, at least in its view, not in AI models but in core mechanical components. The key question is which parts of a robot’s “body” determine its performance and cost. See the original report for details. A related article from Physical AI News, Nikkei XTECH reports on intellectual property analysis of physical AI, referred to Japanese industrial robot companies as a source of strength. The latest Nikkei report can be read as narrowing that strength to a specific component: joints. This suggests a stage in which the focus is less on the broad claim that “Japan has a strong robotics industry” and more on accumulated expertise in components, manufacturing and control around reducers, bearings and actuators. Structurally, an advantage may depend not only on AI training and inference but also on competition in the moving parts, load capacity, service life, precision and mass production of physical robots. If the estimate that joints account for 50% of robot costs is accurate, price competitiveness is likely to depend more on component cost reductions and production-oriented design than on software differences. The focus may therefore shift to which components are actually costly, whether joint components become standardized, and how much of that process Japanese companies can control. Questions that remain include what specific mechanisms Nikkei means by “joints,” what assumptions underpin its breakdown of total robot costs, and which companies or parts of the supply chain it has in mind. These points should be checked against the original report.

For Japanese companies, technology built up in industrial robots and joint-related components could find a market in the physical side of physical AI. If competition shifts to components that largely determine robot costs, however, companies will need to address mass-production design as well as the strengths of individual components.