Distributed AI in Japan: from world-class stack to real-world scale

Japan already sits near the top of the world’s technology rankings: 12th in the Global Innovation Index, USD 102 billion in high-tech exports, and supplier of half the world’s robotics output. Our new report, From Cloud to Edge: The Value of Distributed AI in Japan, argues that the country’s next competitive edge isn’t building more AI capability. It’s getting the AI it already has working in the places that matter: factory floors, ageing infrastructure, and disaster zones.

That shift is becoming urgent. Two in three Japanese firms already say labour shortages are hurting their operations, and the workforce is projected to shrink by 31% by 2060. The obvious answer is more automation, more robots and AI systems doing the work people can no longer be found to do. But adoption has been slow: just 9% of manufacturing executives used AI in 2022, held back less by the technology itself than by what running it required, sending sensitive operational data off-site to a cloud most firms don’t fully trust or have the in-house expertise to manage.

Built for Japan’s terrain

Distributed AI, processing split across cloud, edge and device, removes that trade-off. Keeping inference on-site means sensitive data never has to leave the building, while also cutting power use by up to 90% by removing network transmission, useful given that data centre energy use could rise 80% by 2030 on a grid that’s already stretched. It also keeps working when the network doesn’t, which matters in a country that experiences a tenth of the world’s earthquakes. All of this is already showing up in Japanese engineering: Preferred Robotics’ Kachaka robot fills labour gaps in factories and homes without needing a live connection, Toda Construction’s AI-powered drones cut tunnel inspection time from two hours to 17 minutes, and ACSL’s disaster-response drones keep functioning when roads and networks are cut off. These aren’t pilots for a future Japan. They’re built for the one that exists today.

What it’s worth

We estimate distributed AI could generate more than USD 90 billion in annual economic value for Japan by 2035, across three areas:

Smart manufacturing and robotics (over USD 40 billion), through higher productivity, less downtime and fewer safety incidents.
Smart urban and utility network management (over USD 39 billion), from more efficient power grids and pre-emptive infrastructure repair.
Intelligent, safe mobility (over USD 8.8 billion), through fewer accidents and lower insurance costs from AI-assisted driving systems.

Turning capability into deployment

We estimate it will take around USD 17.6 billion of incremental investment between 2026 and 2035, about 22% of Japan’s total 2026 AI budget, for annual returns we project at more than 50 times that outlay.

Unlike markets still assembling the basic ingredients, Japan already holds most of the pieces: it produces over half the world’s silicon wafers, its telecom operators are building 6G-ready, AI-native networks, and its second AI Basic Plan has made physical AI a national strategic priority. Our report sets out four priorities to convert that foundation into leadership:

Diversify: build vendor diversity and portability into public AI procurement, so models and data stay open across vendors and environments.
Deploy: make physical AI and robotics Japan’s flagship national opportunity, building on the 38% of the world’s industrial robots it already produces.
Demonstrate: establish real-world testbeds, from factory lines to disaster response corridors, where distributed AI can be evaluated and certified under regulated conditions.
Lead: use Japan’s role in the Hiroshima AI Process, G7 and OECD to set global standards for distributed AI and 6G, and export its approach through partnerships with other markets.

Japan has spent decades building the hardware, robotics and industrial base other countries are still trying to acquire. The task now is deployment, and distributed AI is the architecture that makes it possible.

Read the full report, From Cloud to Edge: The Value of Distributed AI in Japan.