India
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
The AI supply chain’s regional gateways: each is the largest economy and data center market in its part of the world. Scale gives them leverage with AI firms, and AI reaches their neighbors through them.
How this economy meets AI
Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.
Where output comes from (% of GDP)
Where people work (% of employment)
Informal employment
Current automation exposure
A large share of the workforce remains in agriculture and informal activity. This provides some initial insulation from cognitive automation but also limits the speed at which existing workplaces can capture productivity gains.
Sources: World Bank WDI; ILOSTAT; Global Automation Atlas (Garg, Crosta & Baier, 2026). The latest available year is shown for each measure; vintages differ, so shares may not sum to 100.
Where India starts
India enters the AGI era as the largest of the conditional demographic giants — countries whose scale and youth become an asset only if power, connectivity and capital arrive in time. The scores show why. Physical build speed is 4.9 out of 5, near the top of the world. Catch-up headroom is 4.3 and demographics 4.2: a young workforce with a long distance still to travel. India also runs the world's second-largest online workforce, English at scale, and digital public infrastructure — Aadhaar identity and UPI payments — that few countries match. The constraints are real. Climate and environmental resilience scores 1.3, among the world's lowest. Language inclusion is 1.8, because most of India's languages sit outside frontier models. Compute and energy access is a middling 3.4. At about $2,702 per person, India is lower-middle-income. Ten-year trend growth is 6.1% a year.
The three paths
These are simulations, not forecasts. The Modest path is the baseline; the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. India would still grow 6.4% a year, 7th of 157, because its size and catch-up room carry weight even in a skeptic's world. That doubles the economy in about eleven years. Under Gradual takeoff, growth would climb across two decades and reach 14.7% a year once AGI matures around 2045, ranking 16th. At that rate the economy doubles in about five years. The long runway gives India time to move its vast services sector from back office to builder. Under Fast takeoff, growth would reach 22.8% a year from the early 2030s, a doubling every three to four years. Yet India's rank would slip four places to 20th, because a fast world rewards the frontier compute and chip access India does not yet own. Regulation and politics could slow or redirect any path. How Indians and their government respond to transformative AI is a variable the model holds constant.
How you would know which world you are in
The three scenarios look almost the same until about 2030. Watch leading indicators, not GDP, and check them live. Three global signals matter most. First, whether the METR task horizon curve keeps doubling every four to five months through 2027–28; METR publishes it at metr.org. Second, whether frontier lab revenue and capital spending keep compounding; Epoch AI tracks both at epoch.ai. Third, whether growth in the ten to twenty most-ready economies — the United States and China above all — breaks above trend in the early 2030s. Double-digit growth there within a couple of years of 2030 would signal a fast world; a point or two above trend by the mid-2030s a gradual one; a fade back to trend a modest one. India's own signals would arrive earlier than the GDP data: the order books of TCS, Infosys and Wipro, financial close and yields at the Micron Sanand and Tata Dholera fabs, and hyperscaler data center commitments under the IndiaAI Mission.
If growth goes explosive
Explosive is relative. At 14.7% growth a year under gradual takeoff, India would trail a frontier compounding at 19.5%, but it would run far ahead of its region, where the median is about 9.1%. Under fast takeoff the gap widens: 22.8% at home against 39.2% at the frontier. Still, an economy growing near 15% doubles in about five years, so a child starting school today would finish it in a country several times richer. The services sector could shift from serving foreign clients to building its own products. Rising labor demand would lift wages and ease the pressure to emigrate for work. There is a way this leaves India worse off, and it is worth naming. India rents most of its frontier compute and buys its advanced chips inside another power's export regime. Decisions made in Washington or Taipei could throttle or reprice that access. The hedge is to own capacity, not rent it, through the fab and data center build. Even then, the pace-setter would shift to the state, testing state power utilities, land acquisition and India's crowded courts.
What India can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion, a relative strength at 3.1 built on Aadhaar and UPI. Skills, permissive deployment and digital government carry the most weight in the skeptic's world, so widening AI literacy and easing data and procurement rules is a no-regret move. The second is climate and water resilience, very low at 1.3. Flood, heat and water defense protects the economy under every scenario, and cooling and water are the very inputs a data center build would need — no-regret again. The third lever is the bet. Compute and energy access, at 3.4, carries the heaviest weight of all under fast takeoff but moves growth little if AI stays ordinary. Closing it means fast-tracking grid links, new generation and power-and-land packages for hyperscalers. India can adapt a peer's model: Vietnam's FPT built an AI factory with Nvidia to host frontier compute at home. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to see how moving these scores reshapes India's path under each scenario.
Use the policy editor to test how different factor scores change India’s modeled path. The roadmap builder below can then incorporate those targets into a 1,000-day planning prompt.
Drafted with Claude, Anthropic’s AI model, from the atlas’s data and an editorial template set by the author.
Create a 1000-day AGI and growth roadmap prompt
This prompt can be used with Claude, ChatGPT or an open-weight model hosted on your institution’s systems. It includes the atlas material for India: the country brief, economic structure, region, archetype and global scenarios. It instructs the model to ask for local information, use existing strategies and the political calendar, and preserve the atlas’s interpretation rules. The prompt is assembled in your browser; the information entered here is not sent elsewhere.
1 · Read the brief → 2 · Set targets in the policy editor → 3 · Generate and copy the prompt → 4 · Run it with an approved model, with high reasoning effort and web access where permitted
Instructions are generated in the selected language; the data annex remains in English. Translations are machine-drafted, and corrections from native speakers are welcome through the contact links on the start page.