Japan · New Zealand — an assembled comparison from each country's own governance data.
Japan and New Zealand illustrate different points on the AI governance spectrum. Japan's approach — Soft-law guidelines; active participant in the G7 Hiroshima AI Process; New Zealand's approach — Principles-based, adoption-first approach relying on existing law and voluntary guidance, not a standalone AI Act.
On trajectory: Japan is holding a steady regulatory posture; New Zealand is holding a steady regulatory posture. Most recent tracked marker for each: Japan — "¥1 trillion (~$6.3B) five-year public-private support package announced to build a new domestic foundation-model company, from FY2026." (2026); New Zealand — "Minister of Science, Innovation and Technology Dr Shane Reti released 'Investing with Confidence: New Zealand's Strategy for Artificial…" (2025-07-08).
Soft-law guidelines; no penalties under the AI Promotion Act
Principles-based; relies on existing law (Privacy Act 2020) plus voluntary guidance rather than a dedicated AI statute or regulator
Japan (stable): Japan's government policy has generally centered on promotion over restriction, but under PM Takaichi that promotion has become far more concrete — a ¥1 trillion domestic foundation-model push and a government AI platform pilot scaling toward roughly 180,000 civil servants — even as the underlying AI Promotion Act still carries no penalties for non-compliance. Its clearest legislative marker on file is "AI Basic Plan" (in force). New Zealand (stable): New Zealand's direction as of mid-2026 appears deliberately steady rather than tightening: the government has reaffirmed a light-touch, adoption-first stance and shown little appetite for a dedicated AI Act or regulator, relying instead on existing law and voluntary guidance. Pressure to move in a more precautionary direction is building, however — from the Privacy Commissioner, from academic commentators, and from the Human Rights Commission's August 2026 call for a human-rights- and Te Tiriti-centred approach — so the current equilibrium may not hold. Its clearest legislative marker on file is "Investing with Confidence: New Zealand's Strategy for Artificial Intelligence" (in force).
¥1 trillion domestic foundation-model push plus the ~$6.3B 'Noetra' robotics/AI consortium
Adoption over development: encouraging private-sector uptake of proven AI, with no domestic frontier lab; the strategy cites a potential $76–108bn annual economic contribution by 2038 (Microsoft/Accenture modelling)
Japan: High on investment, low on binding rules — state-directed funding, no penalties (notable named developers: Sakana AI, Preferred Networks). New Zealand: Moderate — coordinating guidance (MBIE strategy, GCDO public-service framework, OPC privacy guidance, Stats NZ Algorithm Charter) rather than binding regulation (notable named developers: Soul Machines, Halter).
G7 Hiroshima AI Process; UN Independent International Scientific Panel on AI
Alignment with the OECD AI Principles; positions itself as a 'trusted AI partner'; hyperscaler ties including Microsoft's Azure New Zealand North region
No shared "security"-tagged debate axis is recorded for both — on the evidence here, each is legislating its international posture on its own track rather than a shared one.
Among current government priorities: closing the AI investment gap through state-backed industrial strategy
Accelerating safe AI adoption across business and the public service while leaning on existing law rather than new AI-specific rules
Where each government is actually spending its attention right now — not a statement of law, but of priority.
4 tracked measures (3 in force, 1 passed)
4 tracked measures (4 in force)
Japan tracks 5 government AI institutions; New Zealand tracks 5 government AI institutions. Raw counts aren't a maturity score by themselves — a single binding statute can matter more than five proposals — but they mark how much formal apparatus each country has stood up so far.
Frontier foundation-model developers, Semiconductor and compute infrastructure
Standalone AI law and regulator, Frontier-model developers, Dedicated AI safety institute, Domestic compute and cloud market share
The gaps recorded for each country don't overlap — each is missing something different, which is a weaker signal than a shared gap but still worth reading as "not present as of the most recent research," not "definitively absent forever."
Shared
Japan
New Zealand
Japan and New Zealand each describe their own state's role differently: Japan — "High on investment, low on binding rules — state-directed funding, no penalties"; New Zealand — "Moderate — coordinating guidance (MBIE strategy, GCDO public-service framework, OPC privacy…". Layered onto trajectory (Japan stable, New Zealand stable), the open question this comparison actually poses is how much of each country's AI trajectory is being steered by the state versus left to market and research actors — and, for whichever side is tightening, whether that steering is increasing or easing right now.