Japan asked how to integrate technology while protecting people
As artificial intelligence reshapes economies and workforces across the globe, Japan has chosen a deliberate path — one that asks not how quickly technology can be deployed, but how wisely. Rooted in the G7 Hiroshima AI Process and codified into national law, Japan's approach treats human welfare not as a secondary concern but as the governing principle itself. In a world where Meta's AI pivot displaced fifteen thousand workers overnight, Japan's restraint reads less like hesitation and more like a considered wager on what progress ought to mean.
- While nations raced to deploy AI, Japan absorbed the cautionary lessons of data breaches and security failures elsewhere and chose governance over velocity.
- Meta's layoff of 8,000 workers — with 7,000 more jobs restructured — threw into sharp relief what happens when efficiency is the only measure of technological success.
- Japan's AI Act and the Hiroshima Process created a living framework, inviting academia, civil society, and industry to voluntarily uphold safety and transparency as the technology evolved.
- OECD data offered cautious optimism — AI may create more jobs than it eliminates in Japan — but non-regular and older workers risk being left outside those gains.
- In the Philippines, a contrasting vision emerged: a 1,619-hectare AI hub in New Clark City, a diplomatic immunity dispute, and a workforce being rapidly reshaped by algorithmic hiring tools.
Japan's response to the global AI surge was deliberate restraint. Where others accelerated, Japan paused — pointing to data breaches and security failures as evidence that speed without safeguards carries real costs. That restraint became policy.
Following the G7 summit in Hiroshima, Japan joined six other major economies in launching the Hiroshima AI Process, a voluntary governance framework inviting academia, civil society, and both public and private sectors to adopt principles centered on safety, transparency, and human welfare. Japan then translated that philosophy into law — legislation designed not to unleash AI, but to govern it.
The economic stakes were real. An OECD report suggested AI would likely create more jobs than it eliminated in Japan, with workers' skills and wages expected to improve. The caveat was significant, however: non-regular and older workers appeared unlikely to share equally in those benefits.
The contrast with Meta was stark. The company laid off 8,000 workers and restructured 7,000 more to fund its AI investments — fifteen thousand people caught in a strategy that prioritized efficiency over workforce stability. Japan's question was different: not how to integrate AI most cheaply, but how to integrate it without abandoning the people it was meant to serve.
That human-centered instinct ran through Japan's broader technological culture — from the precision of its earthquake warning systems to the legendary seven-minute Shinkansen cleaning crews, to the SCMaglev train still being tested and refined before its expected 2034–2035 debut.
Meanwhile, the Philippines charted its own course. A 1,619-hectare AI hub in New Clark City promised to attract American semiconductor firms and data centers, though a U.S. request for diplomatic immunity for companies operating there was firmly rejected by Philippine authorities. Separately, AI's role in Philippine hiring was projected to nearly double by 2026 — a quieter but no less consequential transformation of how people find work.
Japan took a different path when artificial intelligence exploded onto the global stage last year. While other nations raced to adopt and deploy the technology, Japan held back—deliberately, cautiously, citing the very real problems emerging elsewhere: data breaches, information leaks, the kind of security failures that come when speed trumps safety.
That restraint was not accident. It was policy. In May 2025, following the G7 summit held in Hiroshima, Japan joined six other major economies—the United Kingdom, France, the United States, Germany, Italy, and Canada—in launching a coordinated framework for AI governance. The Hiroshima AI Process, as it came to be known, produced a code of conduct for organizations developing advanced AI systems. It was not a rigid law handed down from on high. Instead, it invited academia, civil society, and both private and public sector players to voluntarily adopt principles centered on safety, transparency, and human welfare. The framework was designed to evolve: reviewed and updated as the technology itself changed, which it did constantly.
Japan then codified this philosophy into its own legislation: the Act on Promotion of Research and Development, and Utilization of Artificial Intelligence-related Technology. The name was bureaucratic, but the intent was clear. This was not a law designed to unleash AI. It was designed to govern it.
The question, of course, was whether caution would cost the country economically. An OECD report released in November 2025 offered reassurance. The data suggested that in Japan, AI was more likely to create jobs than destroy them. Workers' conditions, skills, and wages were expected to improve. But the report carried an important caveat: non-regular employees and older workers appeared unlikely to share in those gains. The benefits would not be evenly distributed.
Elsewhere, the picture was starkly different. Meta, the parent company of Facebook, had integrated AI into its operations and announced the consequences: 8,000 workers laid off, another 7,000 jobs fundamentally transformed to support the company's AI investments. Fifteen thousand people caught in the wake of a technology adoption strategy that prioritized speed and cost reduction over workforce stability. The contrast was instructive. Japan's approach asked: how do we integrate this technology while protecting people? Meta's approach asked: how do we integrate this technology most efficiently?
Japan's commitment to human-centered technology extended beyond AI. The country's bullet trains exemplified the same philosophy—innovation in service of people, not people in service of innovation. The Central Japan Railway Company's L0 Series SCMaglev had set the world record for rail speed at 603 kilometers per hour. When it entered service, expected sometime between 2034 and 2035, it would cut travel time between Nagoya and Tokyo to just 40 minutes, and between Tokyo and Osaka to one hour. The train was still being tested, refined, made safe. There was no rush.
That same attention to human welfare appeared in Japan's everyday systems. The Shinkansen cleaning crews had become legendary for their efficiency—the "seven-minute miracle," where a thousand seats could be cleaned between stops. And when earthquakes struck, a network of sensors detected the initial P-waves and broadcast warnings to phones and public speakers across the country before the destructive shaking arrived, giving people precious seconds to take shelter.
Meanwhile, in the Philippines, a different vision of AI's future was taking shape. The Pax Silica coalition had established a 1,619-hectare artificial intelligence hub in New Clark City, Tarlac, designed to secure the minerals and technological inputs vital to American and global supply chains. U.S. Undersecretary for Economic Affairs Jacob Helberg suggested the project could attract major American companies, semiconductor manufacturers, and data centers. On May 18, he requested diplomatic immunity for American companies operating within the hub—a proposal that would have allowed them to operate under American law despite being on Philippine soil. The Department of Justice rejected it, insisting instead that Philippine law would govern the project. Still, the trajectory was clear: the Philippines was positioning itself as a hub for AI-driven manufacturing and mineral processing, a different calculus than Japan's. And the Philippine workforce was being prepared accordingly. A 2025 report found that AI use in recruitment and human resources was expected to nearly double, rising from 23 percent to 43 percent by 2026. The technology was coming, and it would reshape how people found work.
Citas Notables
Non-regular employees and older workers appear less likely to benefit from AI job creation in Japan— OECD November 2025 report
The project could attract billion-dollar American companies, mineral investments, semiconductor manufacturing, and data centers— U.S. Undersecretary Jacob Helberg on the Philippines AI hub
La Conversación del Hearth Otra perspectiva de la historia
Why did Japan move so slowly on AI when the rest of the world was sprinting?
Because they'd seen what happened when you sprint. Data breaches, workers displaced overnight, companies optimizing for profit instead of people. Japan decided to ask a different question first: how do we do this safely?
But doesn't caution mean falling behind?
That's the assumption everyone makes. But the OECD found that in Japan, AI is actually creating more jobs than it's eliminating. The catch is that older workers and non-regular employees aren't seeing the benefits. So caution doesn't solve everything—but it does prevent catastrophe.
What's the difference between Japan's approach and what Meta did?
Meta laid off 8,000 people to fund AI integration. Japan said: let's figure out how to integrate this without destroying livelihoods. One is faster. One is more humane. You can't do both at the same time.
Is Japan's model actually working, or is it just slower?
It's too early to know. But look at what they've built: bullet trains that break records, earthquake warning systems that save lives, cleaning crews that work with precision. They've proven they can innovate without sacrificing people. AI is just the next test.
What about the Philippines hub? That seems like a completely different bet.
It is. The Philippines is saying: we'll be the manufacturing and processing center for AI minerals and semiconductors. That's a supply-chain play, not a safety-first play. Two countries, two visions of what AI's future looks like.