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Japan's AI Governance: What Foreign Companies Must Know About the AI Promotion Act (2026)

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  • #Japan
  • #AI Governance
  • #AI Promotion Act
  • #Compliance
  • #EU AI Act

Part of our guide to Japan’s cybersecurity and technology regulation. For the data-protection foundation that underpins it, see Japan’s Cybersecurity Laws & Guidelines.

If you are deploying AI in Japan and waiting to find the “Japan AI Act” with its risk tiers and fines, stop waiting — that is not how Japan did it. In 2025 Japan passed its first AI law, and it deliberately contains no penalties at all. For foreign companies trained on the EU AI Act, this is genuinely disorienting: it looks like there are no rules. There are — they are just a different shape.

I work in information security inside a Japanese enterprise (CISSP, CCSP, and a Registered Information Security Specialist in Japan). This is the map of Japan’s AI governance I give foreign teams before they either over-comply to an EU template or under-comply to a Japanese one.

Japan’s AI Promotion Act (2025)

The headline instrument is the Act on the Promotion of Research and Development and Utilization of AI-Related Technologies — the “AI Promotion Act.” It passed Japan’s Diet on 28 May 2025, with most provisions effective 4 June 2025 and the remainder by September, and came into full effect in late 2025 (White & Case).

Three facts define it:

In other words, the Act is a direction-setter and an enabler, not a rulebook. Its teeth, for now, are reputational and the option it creates to legislate harder later.

The soft-law stack: guidelines and the Safety Institute

Because the Act itself is thin on specifics, the operational expectations live in soft law:

The pattern should feel familiar from the rest of Japan’s regulatory style: a light statutory frame, with the real expectations expressed as guidelines that are technically voluntary but functionally the baseline.

Who governs AI in Japan

There is no single “AI regulator.” Responsibility is distributed:

BodyRole
AI Strategy Headquarters (Cabinet)Whole-of-government coordination under the AI Promotion Act, led by the AI Minister
METI / MICAuthor the AI Guidelines for Business; industrial AI policy
J-AISIAI safety research, evaluation, standards, international coordination
PPCWhere AI touches personal data, the APPI and its enforcement apply
Sector regulators (FSA, etc.)AI in regulated sectors inherits existing sectoral rules

The last two rows are the ones foreign teams forget: Japan’s soft AI law sits on top of its existing binding laws, which do the actual enforcing.

Japan vs the EU AI Act vs the US

This is the comparison that orients most foreign teams fastest:

Japan (AI Promotion Act)EU (AI Act)US (NIST AI RMF)
Legal forceSoft law / principlesBinding regulationVoluntary framework
Risk classificationNoneTiered (prohibited → minimal)Risk-based, voluntary
PenaltiesNone (advice, disclosure)Significant finesNone
PhilosophyInnovation-firstRights & safety-firstRisk-management
Binding teeth viaExisting laws (APPI, competition, IP)The Act itself

Japan and the US sit closer together (principles and frameworks); the EU is the outlier with hard, risk-tiered law (Bird & Bird). If your AI governance program is built to the EU AI Act, you are over-built for Japan’s AI law specifically — but not for the Japanese laws underneath it.

What “soft law” actually means for foreign companies

Here is the trap, and I want to be blunt about it: soft law is not the absence of obligation. Three things remain true in Japan regardless of the AI Promotion Act’s missing penalties:

  1. The APPI still binds. An AI system that processes personal data of people in Japan is squarely inside the APPI — including its breach-notification clocks and cross-border transfer rules. The AI law’s leniency does not touch this.
  2. Comply-or-explain is a real bar. The AI Guidelines for Business are the standard your Japanese customers, partners, and regulators will measure you against. “We follow our global policy” is an answer; “we do nothing because there’s no penalty” is not.
  3. Reputational and disclosure risk is the enforcement. Public disclosure of non-compliance, in a market where trust and relationships carry enormous weight, is not a soft consequence.

My practitioner’s read: treat Japan’s AI governance as governance you must be able to evidence, not compliance you can be fined for. Document your AI risk practices against the AI Guidelines for Business, keep your APPI obligations airtight, and you will satisfy both the soft expectation and the hard law beneath it.

For the deeper, system-level risks of the AI you deploy under this regime, see the spokes:

References

FAQ

Does Japan have an AI law?

Yes. The AI Promotion Act (Act on the Promotion of Research and Development and Utilization of AI-Related Technologies) passed in May 2025 and is Japan's first AI-specific law. It is a fundamental law setting principles and national policy, and it imposes no direct fines or penalties.

How is Japan's AI law different from the EU AI Act?

Japan takes a soft-law, innovation-first approach: principles, voluntary guidelines, and reputational pressure, with no risk-tier classification, no bans, and no monetary penalties. The EU AI Act is binding, risk-based, and enforcement-driven with significant fines.

If there are no penalties, can foreign companies ignore Japan's AI rules?

No. Soft law does not mean no obligation. Existing binding laws — notably the APPI for personal data — still apply to AI systems, and the AI Guidelines for Business operate as a comply-or-explain expectation that customers, partners, and regulators will measure you against.

What are the METI AI Guidelines for Business?

Soft-law guidance issued by METI and MIC (v1.1, March 2025) setting out expected AI governance practices for companies. They are treated as a comply-or-explain standard rather than binding regulation.

What is the Japan AI Safety Institute (J-AISI)?

A body established in February 2024 by ten ministries and five government-affiliated organizations to conduct AI safety research and evaluation, develop standards, and coordinate internationally, including with the US AI Safety Institute and NIST.

About the authors

Sekiko Jo

CISSPCCSP

CISSP and CCSP-certified security specialist focused on cloud threat modeling and security governance. A Registered Information Security Specialist (情報処理安全確保支援士) in Japan, she writes from hands-on incident-response experience inside a Japanese enterprise.

Hiroto Yuki

CISSPCCSP

CISSP and CCSP-certified. Writes from red-team and SOC operational experience about defenses that actually hold up.