Cognition AI is betting that Japan's aging population, engineering shortage, and massive legacy code backlog will make it the largest sustained market for AI coding agents outside the United States. The San Francisco startup opened a Tokyo office in April 2026 and is already seeing unexpected cultural adoption of its autonomous software engineering agent, Devin, with Japanese engineers affectionately calling it "Devin-kun" rather than treating it as a tool.

What's Driving Japan's Sudden Embrace of AI Coding Agents?

Japan faces a structural workforce crisis that makes AI coding agents not a luxury but a necessity. The country's working-age population is projected to decline by more than 30 percent between now and 2060, and nearly 30 percent of residents are already over 65 years old. Japan's Ministry of Economy, Trade, and Industry (METI) projected a shortage of approximately 789,000 software engineers by 2030. This is not a distant problem; it is happening now, and it is forcing the government and enterprises to modernize aging digital infrastructure with fewer engineers available to do the work.

The real proof point came from Sapporo, Japan's fifth-largest city. The municipal government faced a national IT compliance mandate requiring it to modernize more than one million lines of legacy code. Using traditional staff augmentation, the project would have required roughly 200 engineering months of work. Using Devin, Sapporo's team completed the same modernization in about a quarter of that time, or roughly 50 engineering months. This was not a pilot or a demo; it was a live, public-sector modernization program with real accountability and measurable results.

"The needs are real, especially in critical infrastructure and government. The country is running on aging infrastructure with a declining workforce," said Russell Kaplan, president of Cognition AI.

Russell Kaplan, President at Cognition AI

How Is Japan's Engineering Culture Reshaping the Way Teams Work With AI?

The most telling detail about Devin's adoption in Japan is linguistic. Before Cognition formalized its Tokyo office, Japanese engineers debated what honorific suffix to attach to Devin's name. In Japanese, honorifics signal social hierarchy and relationship type. The community settled on "Devin-kun," the familiar suffix used for younger male colleagues, friends, or peers rather than tools or subordinates. This naming choice reveals something profound about how the technology is being framed culturally: Devin is being treated as a coworker, not as software.

That framing matters for enterprise adoption. Most AI coding assistants require constant prompting and oversight. Devin operates as a full software engineering teammate. Give it a task, and it codes, debugs, and deploys autonomously inside the tools a team already uses, like Slack, Linear, and Jira. This "AI employee" pattern means engineers can assign work and move on, rather than babysitting the agent through every step. The Sapporo precedent shows that this workflow pattern produces measurable productivity gains on real legacy code, not synthetic benchmarks, and the cost falls into a range that municipal budgets can absorb.

Steps to Understanding Cognition's Asia-Pacific Expansion Strategy

• Japan as the Anchor Market: Cognition opened its Tokyo office in April 2026, betting that Japan's combination of aging infrastructure, government modernization mandates, and engineering shortages creates the ideal proving ground for autonomous coding agents outside the United States.
• Singapore as the Regional Hub: Cognition plans to establish Singapore as its Asia-Pacific headquarters later in 2026, positioning it as a distribution and support center for the broader region.
• Malaysia's Applied AI Engineering Program: Cognition launched a specialized training program in Malaysia to identify engineers who excel at directing AI agents and teaching entire teams how to work effectively with Devin, recognizing that agent management is a learnable skill.
• Future Expansion into South Korea and Australia: Cognition is evaluating South Korea and Australia as additional Asia-Pacific markets, though Japan remains the primary focus.

What Does Japan's Coding Agent Bet Mean for Global IT Services?

The implications extend far beyond Japan. India's four largest IT services firms, Infosys, Wipro, Tata Consultancy Services, and HCLTech, have each seen their shares fall between 30 and 40 percent over the past 12 months on investor fears that AI agents will perform back-office coding work at a fraction of the cost. However, Kaplan offers a more nuanced view of how this plays out in practice.

"On the ground in India, the job of an engineer can become more fun and impactful. Suddenly you have someone who has been working by themselves on a specific part of a project, and they're getting a promotion where they have a whole team of AI agents working for them," said Russell Kaplan.

Russell Kaplan, President at Cognition AI

The model Kaplan describes is not junior engineers replaced by agents; it is senior engineers managing teams of AI agents. The ratio of work done per engineer increases, which will put pressure on IT services pricing through 2026 and 2027, but it does not necessarily mean mass displacement. Instead, it means the economics of outsourced coding work will shift, and companies that can train engineers to direct agents effectively will have a competitive advantage.

How Does Global Time Zone Distribution Create a New Kind of Computing Advantage?

Cognition's Asia expansion unlocks a second-order economic benefit that has nothing to do with labor costs and everything to do with compute efficiency. Cognition's demand for inference compute, the processing power needed to run AI models, is doubling roughly every seven weeks. When compute sits idle on the U.S. West Coast at 3 AM local time, it can be productive when it is 3 PM in Tokyo. This is not labor arbitrage; it is time arbitrage.

An engineering hour in Bangalore was cheaper than an engineering hour in San Francisco, but an inference minute in Tokyo is not cheaper than an inference minute in California. It is simply a different minute on the clock. The inference minute that would be wasted in California at 3 AM is the inference minute that is on the critical path for a Japanese municipal government during business hours. AI companies that learn to staff across time zones the way the global services industry staffed across labor markets will have a structural advantage in the 2026 enterprise AI buildout.

Cognition's Japan-first bet is not sentimental or strategic in the traditional sense. It is a direct response to a structural problem that Japan is solving first, and the company is positioning itself to capture the market as it emerges. The Devin-kun honorific and the Sapporo precedent together suggest that the future of AI coding agents is not about replacing engineers but about integrating agents into teams as peers, and Japan is the first place where that integration is happening at scale.