Japan Allocates Up to ¥1 Trillion to Support SoftBank-Led AI Foundation Model
Taylor Wilson
Japan announced up to ¥1 trillion (~$61.6 billion) for a nine-company consortium called Noetra, led by SoftBank, to build a domestic AI foundation model. The bet is Japan's largest-ever AI industrial policy move — and its core wager lands on "physical AI," training models to control robots using real-world factory data.
¥1 trillion — how does the money flow, and who gets it?
First-year allocation is ¥387.3 billion; the rest comes in installments over five years (from FY2026), tied to results. This means → the government is not writing a blank check — it is paying on performance.
The consortium, Noetra, includes SoftBank, Honda, NEC, and Sony, plus the government-affiliated National Institute of Advanced Industrial Science and Technology (AIST).
By mid-July, participating investors will expand to 44 companies — 28 manufacturers (autos, electronics) and 16 non-manufacturers (finance, logistics, telecom). In plain terms = this is not a SoftBank solo project — it pulls in half of Japan's industrial base to share cost and share the model.
What performance is Noetra targeting, and when will it ship?
The plan calls for a working foundation model by 2027, benchmarked against Alibaba's Qwen series and other leading global models.
But sources say initial scale will likely match where Qwen stood before 2025. This means → even if Noetra delivers on time, the model will arrive at least two years behind the global frontier.
By 2031, the model aims for full multimodal capability — processing text, audio, and video simultaneously — plus understanding of spatial and physical properties.
Why bet on "physical AI"?
Noetra's core differentiator is physical AI — AI that directly controls machinery and robots, not just generates text or images.
Japan's logic: its manufacturers hold vast stores of real-world equipment operation and inspection data, a scarce fuel for training robotic AI. This reflects an attempt to offset Japan's late start in language models by leveraging its strongest asset — precision-manufacturing shop-floor data.
Daiwa Research Institute senior researcher Miho Tanabe flags the key challenge: digitizing the tacit knowledge locked in factory workers' hands and instincts. In plain terms = decades of expert craft still live in human heads, not in databases — converting that into AI-trainable data is itself a major hurdle.
How large is the policy package beyond the model?
The government will centrally manage rights to the foundation model, ensuring broad access for supply-chain manufacturers, and will subsidize AI computing infrastructure costs.
A revised AI robotics strategy goes further: ¥10.5 trillion in public-private investment in physical AI through FY2040, with a target of deploying 10 million autonomous AI robots by 2040.
Economy Minister Ryosei Akazawa said: "We will build and strengthen a physical-AI and robotics data foundation that leverages Japan's advantages."
What is the real backdrop behind this move?
The immediate trigger: in mid-June the U.S. government ordered Anthropic to suspend access to its Claude Mythos 5 model for foreign nationals. This means → even allied nations can lose access to frontier AI models overnight.
China, through state-led initiatives, already leads the world in physical-AI patent filings. Without a domestic model, Japan is caught between the two — unable to secure cutting-edge U.S. models, unable to match China's industrialization pace.
In plain terms = the ¥1 trillion buys not just a model but an insurance policy against AI supply disruption. Whether that policy pays out depends on what Noetra actually delivers when the model goes live in 2027.
Content is for reference only, not financial advice.