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Nikkei Business reports on attention to construction physical AI and Nvidia
Nikkei Business Online reported on Sept. 16, 2026, under the headline “Nikkei Business reports on attention to construction physical AI and Nvidia.”
What happened
Nikkei Business Online reported on Sept. 16, 2026, under the headline “Nikkei Business reports on attention to construction physical AI and Nvidia.” We have not verified the primary source, so please refer to the original report for details.
Why it matters
The report's account that Nvidia discussed robotizing construction machinery points to a trend of viewing construction equipment not merely as labor-saving tools, but as a connection point between AI computing and on-site control. According to Nikkei Business Online, local construction companies in Japan have also begun using automated construction equipment, making changes to on-site operations a likely issue.
Analysis
The article's new angle is its positioning of construction machinery as an application for “physical AI,” centered on remarks by Nvidia's CEO. The original report describes a case in which one operator controlled three construction machines during excavation work by Kinoshita Construction, as well as Yoshimitsu-gumi's introduction of the technology for beach nourishment work. Viewing construction machinery as robots draws attention to the link from input to output across sensors, perception, control and on-site work. But the article first offers a conceptual framing, not a discussion of mass production or standardization. In a related article, 36Kr publishes a report on an entrepreneur from Shanghai Jiao Tong University, we focused on “embodied 'intelligent brains.'” The current report on construction machinery can be read as extending that idea of “machines with brains” from humanoids to construction equipment. In other words, the range of applications for AI with a physical presence is expanding beyond general-purpose robots to heavy machinery, though the operating environments differ. Construction sites face greater constraints from terrain, dust, heavy loads and worksite safety than indoor navigation and grasping, so the requirements are likely to differ even for the same physical AI. The industry implications extend beyond construction equipment makers to control devices, sensors, perception software and systems for collecting on-site data. The report's mention that local Japanese construction companies have begun using automated equipment indicates that changes in construction operations, not just the supply of finished machines, will be necessary. Key questions include which processes will be automated, how remote operation will be distinguished from autonomous driving, and who will collect the on-site data needed to make it work. Please refer to the original report for details.
Implications for Japan
Construction companies in Japan have reportedly begun using automated construction equipment, putting on-site data collection, remote operation and combinations of control devices at the center of implementation. Construction equipment makers, measurement and control providers, and on-site operators will all need to respond, raising the question of how to incorporate the construction sector as an application for physical AI.
Sources
Translated from the Japanese original: /news/nikkei-bijinesu-kensetsu-fijikaru-ai-to-enubidia-no-chuumoku-e8f8de. The Japanese version is authoritative if they differ.