A few years ago, the logic of investing in AI seemed simpler: find the right model or product and bet on it. Today, models that take a year to build become obsolete in months. Betting on a specific AI product is like picking a favourite app at a moment when the operating system itself is changing.

If the bet isn’t on the product, then what? The real race is happening at the infrastructure level. Whoever controls the chips, the memory, the manufacturing equipment — controls the future of AI.

This is where the conversation begins about how and why Japan and Ukraine have ended up in a strategically important position but on opposite sides of the same stake. And why the partnership between these two countries is about structural logic and mutual reinforcement.

Japan’s quiet comeback

Japan is deliberately reclaiming its status as a global centre of semiconductor manufacturing with characteristic precision, backed by real results. According to the Brookings Institution, Japanese companies control 88 per cent of the global market for semiconductor coater/developers, 53 per cent of silicon wafers, and 50 per cent of photoresist — a step without which no chip can be manufactured. The government has committed over ¥10 trillion (US$65 billion) to AI and semiconductors by 2030. For private investors, this means the state has already absorbed a significant portion of the infrastructure risk.

At the same time, Japan is candid about its challenges. Over 70 per cent of Japanese organisations report a shortage of technical talent — 23 percentage points above the global average. Only around 30 per cent of Japanese companies report measurable results from digital transformation, compared to 80 per cent in the US and Germany.

Japan is building a powerful foundation. But infrastructure without engineering talent to deploy it has limits.

Pressure-tested innovation

Ukraine is the other side of this equation. Over the past two years, the number of Ukrainian AI specialists has grown by 17 per cent, reaching 6,100 people. The deepest expertise is concentrated in NLP and computer vision. The total IT workforce stands at approximately 300,000. In 2025, Ukrainian IT exports reached US$6.66 billion — making IT the second-largest export sector. About 20 per cent of Fortune 500 companies have dedicated development teams in Ukraine. This is not a niche market. It is a scale, proven in practice.

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In parallel, a transformation has taken place that rarely gets noticed from the outside. Ukraine has become one of the leaders in digital governance. In the 2024 UN E-Government Survey, the country ranked 30th out of 193 states on the E-Government Development Index, and first in the world on the E-Participation Index.

An entire ecosystem has emerged around digital self-governance. Diia serves over 24 million users across 240 services. Diia.AI became the world’s first national AI assistant for public services. Diia.City, a legal framework that has attracted over 4,000 technology companies, 10 of which are unicorns.

Ukraine’s IT sector had been growing for years. But after 2022, the pace changed — not because of investment or market conditions, but because the stakes did. Engineers learned to build without a margin for error, with redundancy baked into everything, because failure had real consequences. That kind of pressure doesn’t just accelerate development. It changes what gets built and how.

This path was shaped under pressure, which is precisely why the solutions it produced have already passed the test of reality.

The case for systemic partnership

In AI, these two markets occupy different layers. Japan operates at the hardware layer (chips, robotics, industrial AI), Ukraine at the engineering layer (NLP, computer vision, GovTech architecture). Combining them closes a structural gap that neither country can close alone.

The zones where this fit holds are already visible. The most immediate is semiconductors and physical AI. Japan’s manufacturing precision meets Ukrainian software and algorithm engineering.

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A natural next layer is robotics. Japan produces 38 per cent of the world’s industrial robots, and Ukraine has engineers who have built and deployed autonomous systems and tested them in difficult real-life conditions.

Joint R&D is another. Ukrainian teams are already embedded in Japanese industrial projects, but this is still point cooperation, not a systemic research pipeline.

The same logic applies to talent development — shared programs, structured internships, and long-term contracts that build pipelines rather than one-off engagements. And at the product level, both countries have something the other needs.

Japan has the hardware and the market access, Ukraine has the speed and the engineering culture to build globally scalable AI products.

On April 8 in Tokyo, we, as AI House with support from Roosh Investment Group, convened a panel discussion. The panel brought together government officials, business leaders, and researchers from both countries to examine a question: what Ukraine’s experience building a digital ecosystem under pressure actually looks like in practice, and where it connects with Japan’s own trajectory.

Such meetings are important not for what happens during them, but for what remains after — a shared understanding of where there is something real to build. That requires not one-off collaboration, but systemic engagement as long-term contracts, joint education programs, and structured exchanges.

The institutional groundwork is already in place. In 2023, Ukraine’s Ministry of Digital Transformation and Japan’s Digital Agency signed a memorandum on digital cooperation — covering cybersecurity, e-government exchange, and digital infrastructure. Yet the areas where both sides have something to offer go well beyond what that memorandum covers.

The trajectory of the AI economy is becoming clearer. More models mean more code, more compute, more chips, and more engineers. Demand at both layers will only grow. This partnership is about investing in people and systems.

As an investor, I look for structural logic — not just opportunity. Japan brings precision, depth, and the physical infrastructure of AI. Ukraine brings speed, adaptability, and engineers who learned to build without a margin for error. Individually, these are powerful. Together, they close a gap that neither country can close alone. That is the alignment I rarely see. Japan and Ukraine are exactly that case.

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