India · US — an assembled comparison from each country's own governance data.
India and US 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; US's approach — Sectoral and executive-led, with significant state-level activity.
On trajectory: India is tightening its regulatory grip; US is loosening its regulatory grip. 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); US — "Newsom signed a package of child-online-safety bills, several aimed directly at AI." (2026-09-10).
Officials have signaled intent to draft a binding, risk-based AI law; IT Rules already binding for synthetic content
Sectoral, executive-led — no binding federal frontier-model law
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). US (loosening): The federal posture remains deregulatory on consumer-facing and precautionary rules, but the direction is increasingly asymmetric: on national-security grounds, EO 14409 ('Gold Eagle') and the July agentic-hacking disclosures have pushed the government to assert markedly more control over frontier-model access and cyber-capability testing. With the AI & Crypto Czar role vacant since March, CAISI's standards and testing work remains the most consistent thread of federal activity. Its clearest legislative marker on file is "California SB 53 — Transparency in Frontier Artificial Intelligence Act (TFAIA)" (in force).
IndiaAI Mission subsidised compute (38,000+ GPUs onboarded) supporting startups pursuing lower-cost ('frugal') AI approaches
Infrastructure- and export-led; the 'Stargate' initiative and America's AI Action Plan prioritise compute build-out
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). US: Low-to-moderate — light federal touch, no binding frontier-model law (notable named developers: OpenAI, Anthropic; AWS leads domestic cloud share at ~28%).
AI Impact Summit host; engages G20 and UN AI governance processes
Chip export-control coordination with allies; no formal multilateral AI safety treaty
Both have live "security" debates on file (India: "IT Rules 2026 takedown triggers criticised as overbroad by digital-rights groups"; US: "Agentic AI, cyber-offence and developer accountability"), suggesting overlapping strategic anxieties rather than fully independent postures.
High-risk-sector AI safety (banking, finance, health, critical infrastructure) is among the areas officials have flagged for a possible future law
Frontier-model competitiveness and compute infrastructure appear to be higher near-term federal priorities than precautionary regulation, though states continue to pursue their own 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)
7 tracked measures (4 in force, 2 passed, 1 proposed)
India tracks 1 government AI institution; US tracks 3 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
Federal AI safety statute
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
US
India and US each describe their own state's role differently: India — "Rising — from voluntary guidelines toward signaled intent to draft binding legislation, though no…"; US — "Low-to-moderate — light federal touch, no binding frontier-model law". Layered onto trajectory (India tightening, US loosening), 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.