Japan has committed more than 10 trillion yen in public support for AI and semiconductor infrastructure as it tries to reduce exposure to foreign AI-related risks and catch up with the United States and China. The government is also backing domestic companies and industrial robotics to build what it calls a more self-reliant technology sector. The money and plans come from above; the supplied account includes no testimony from workers or communities affected by the shift.
Who Sets the Direction
Beginning in fiscal year 2026, the Japanese government plans to spend $6.34 billion on an initiative combining Japan’s industrial robotics industry with next-generation AI. It aims to automate heavy industry, transport and infrastructure. One example cited in the article involves autonomous AI systems managing Tokyo’s heating and cooling infrastructure. Japan’s aging population and resulting labor shortage have pushed some companies to modernize and develop AI capabilities.
Dr. Takahiro Tsuchiya of Kyoto University said Chinese companies dominate Japan’s domestic AI market partly because their products cost less than those offered by Japanese companies. He also said Japan hadn’t kept pace with the United States and China in core AI. Speaking to reporters at the Japanese Embassy in Washington, D.C., and to people attending his lecture at the Japanese Consulate in Boston, Tsuchiya argued Japan must make its own choices rather than simply follow Washington’s lead.
“while Japan must tighten technology export controls alongside the U.S. to counter China's military-civil fusion, Tokyo's defensive and economic calculations must remain grounded in its own reality,” Tsuchiya said. He identified China and North Korea as regional threats and “strongly advocates for a robust U.S.-Japan alliance to counter” them. But Japan lies close to China and remains deeply connected to it through trade, making it harder to draw a clean line between security and economic ties.
Domestic Solutions, State Targets
On September 9, Nikkei reported that Sumitomo Corp. “has partnered with Sakana AI to bring the startup's artificial-intelligence models to its 100,000 or so client companies.” The partnership aims to help the Tokyo-based company sell its solutions to small businesses. Nikkei said Sakana AI’s models are “said to be comparable to cutting-edge overseas models.” The venture is described as a Japanese domestic project that doesn’t involve U.S. or Chinese companies.
The arrangement addresses security concerns and Japanese companies’ reluctance to expose confidential data to generative AI systems. Nikkei also reported that Japanese companies had fallen behind U.S. and Chinese rivals in using AI for structural and operational reforms, while noting “high expectations for Sakana AI as a provider of AI models that do not rely on overseas companies' services.” The account describes the business partnership, but offers no direct testimony from small-business clients about what the tools will mean for them.
Japan brought an AI Act into force in June 2025, adopted a formal AI Basic Plan in December 2025 and established a Prime Minister-led AI Strategic Headquarters. On July 14, the Cabinet passed its Second Artificial Intelligence Basic Plan, targeting agentic AI and technological sovereignty. A road map aims to mobilize 370 trillion yen ($2.3 trillion) in public and private funding by 2040 for AI and semiconductors.
The Catch-Up Machine
Hello World Japan said the initial plan acknowledged “gaps between Japan and other growing countries in utilization rates and private investment,” which had “widened” through 2025. It called the strategy “recovery, not regulation.” Ambitious state plans fill the account, alongside the gap they’re meant to close. No grassroots organizing, mutual aid or community-led response appears in the supplied reporting. Instead, the response rests on government funding, institutional planning and corporate partnerships.
The article also refers to a Japan-Australia finance ministers’ dialogue, but the accompanying Reuters report couldn’t be fetched, leaving no details about that dialogue available here. The AI strategy’s machinery is clearer: public money, national security calculations and private firms are driving the push, while the people expected to live and work with these systems remain largely unheard.