Madagascar
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Military governments, very weak state capacity, or limited access to the AI supply chain keep these countries from converting AI into growth.
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 Madagascar starts
Madagascar enters the AGI era in the high-risk and volatile group: countries cut off from the AI supply chain, or whose state is too fragile to turn AI into growth. The scores show both sides. Catch-up headroom is 4.8 out of 5, near the top of the map, because an economy this far from the frontier has enormous room to grow. Everything needed to use that room is thin. Compute and energy access scores 1, AI diffusion capacity 1.1, cyber resilience 1.1. Repeated political crises hold geopolitical standing at 2. At about $599 per person, Madagascar is one of the world's lower-income economies. Its exports are ores above all — Ambatovy nickel and cobalt, QMM ilmenite, graphite — plus vanilla and apparel. Ten-year trend growth is 2.9% a year. The constraint is not ambition but capacity.
The three paths
These are simulations, not forecasts. The Modest path is the baseline, and the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. Madagascar would hold its trend at 2.9% growth a year, 82nd of 157. Its mines and farms would keep setting the pace. Under Gradual takeoff, growth would rise slowly over two decades and reach 3.7% a year around 2045, ranking 139th. At that rate the economy doubles in about 19 years. Under Fast takeoff, growth would reach 3.3% a year from the early 2030s, ranking 144th and doubling in roughly 21 years. Note what the ranks say. Madagascar slips five places under Fast against Gradual. A fast world rewards the compute, capital and geopolitical weight Madagascar lacks most, so quicker AI would help it less, not more. Regulation and politics could slow or redirect any of these paths. How Malagasy citizens 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. So watch leading indicators, not GDP, and check them live rather than trust any snapshot. 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 would signal a gradual one. A fade back to trend would signal a modest one. Madagascar's own signals would arrive earlier than the growth data: the pace of household electrification, throughput at the Port of Toamasina, mobile data and mobile money take-up, and the order books of the nickel, graphite and apparel exporters.
If growth goes explosive
For Madagascar, explosive is the wrong word, and it is honest to say so. Under Gradual, 3.7% growth a year would trail its own region, whose median reaches 5.7%, and fall far behind a frontier compounding near 19.5%. Under Fast the gap is wider: 3.3% against a frontier near 39.2%. This is relative decline, not catch-up. Still, 3.7% growth doubles the economy in about 19 years, so a child born today could reach adulthood in a country roughly twice as rich. The mix would stay much as it is: mining, farming and light manufacturing. Faster growth at home would raise wages and labor demand, which could ease the pressure on young Malagasy to emigrate for work. The honest downside is exposure. Madagascar sells ores into a world market that may reprice them, and it rents whatever computing it uses rather than owning any. A frontier that races ahead could drain its scarce skilled workers toward faster economies. The hedge is to own more of the value chain and to keep skilled people at home. Even at these rates, the test would fall on the state: JIRAMA keeping the lights on, the permitting offices, the courts, and a politics steady enough to finish what it starts.
What Madagascar can do now
Three levers follow from the scores, and two of them pay off whether or not AGI arrives. The first is AI diffusion capacity, at 1.1. Digital skills, deployment-permissive rules and digitized government services carry weight even in the skeptic's world, so building them is a no-regret move a cautious government can start today at no loss. The second is physical build speed, at 1.5. Statutory time limits on permits, one-stop approvals, pre-zoned industrial land and transmission built ahead of demand help the economy under every scenario. The third lever is the bet. Compute and energy access, at 1, barely moves growth if AI stays ordinary, but it carries the most weight and the highest leverage under a fast takeoff. It also fixes the electricity most Malagasy still lack. Closing it means expanding generation and packaging power and land to attract investment, which a $599-per-person economy cannot finance alone. Madagascar can adapt a regional model: DR Congo is advancing the Inga hydropower project to lift its own generation. Act on the two no-regret levers now, and lose nothing if the skeptics are right. To see how moving any of these scores changes Madagascar's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Madagascar’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 Madagascar: 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.