India · New Zealand — an assembled comparison from each country's own governance data.
India and New Zealand illustrate different points on the AI governance spectrum. India's approach — Non-binding guidelines currently in force; officials have signaled intent to move toward a binding, risk-based AI law; New Zealand's approach — Principles-based, adoption-first approach relying on existing law and voluntary guidance, not a standalone AI Act.
On trajectory: India is tightening its regulatory grip; New Zealand is holding a steady regulatory posture. Most recent tracked marker for each: India — "India's private-sector AI-infrastructure build-out accelerates: Reliance announced (February 2026 AGM) a reported ₹10 lakh crore (~$110B)…" (2026-06); New Zealand — "Minister of Science, Innovation and Technology Dr Shane Reti released 'Investing with Confidence: New Zealand's Strategy for Artificial…" (2025-07-08).
Officials have signaled intent to draft a binding, risk-based AI law; IT Rules already binding for synthetic content
Principles-based; relies on existing law (Privacy Act 2020) plus voluntary guidance rather than a dedicated AI statute or regulator
India (tightening): Officials' public rhetoric has moved from 'no separate AI law needed' toward openness to drafting one within eight months, with a senior MeitY official using hedged language about timing and no draft bill yet published. Reporting indicates the government is also weighing emergency shutdown powers for high-risk AI systems, a notably assertive tool most peer jurisdictions haven't proposed — though the specific scope and design of any such power remain unconfirmed. Its clearest legislative marker on file is "IT (Intermediary Guidelines and Digital Media Ethics Code) Amendment Rules 2026" (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).
IndiaAI Mission subsidised compute (38,000+ GPUs onboarded) supporting startups pursuing lower-cost ('frugal') AI approaches
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)
India: Rising — from voluntary guidelines toward signaled intent to draft binding legislation, though no formal proposal has been published (notable named developers: Krutrim, Sarvam AI). 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).
AI Impact Summit host; engages G20 and UN AI governance processes
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.
High-risk-sector AI safety (banking, finance, health, critical infrastructure) is among the areas officials have flagged for a possible future law
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.
3 tracked measures (1 proposed, 2 in force)
4 tracked measures (4 in force)
India tracks 1 government AI institution; 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.
AI-focused think tanks
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
India
New Zealand
India and New Zealand each describe their own state's role differently: India — "Rising — from voluntary guidelines toward signaled intent to draft binding legislation, though no…"; New Zealand — "Moderate — coordinating guidance (MBIE strategy, GCDO public-service framework, OPC privacy…". Layered onto trajectory (India tightening, 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.