Maldives
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
They earn from what cannot be sent down a wire: visitors who come, and workers abroad who send money home.
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
Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.
This country is not covered by the Global Automation Atlas’s public country file; its task-level exposure work for other countries is at automationatlas.org.
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 Maldives starts
Maldives is a reform climber: an economy growing steadily from a low base, with improving institutions. It sits at the richer end of that group, near $14,600 per person, on earnings from high-end tourism and tuna. Its distinguishing strength is demographics, scored 4 out of 5 — a young population, though one that leans on imported labor to run its resorts and building sites. AI diffusion capacity, at 2.7, is respectable for a country this small. The constraints are stark. Compute and energy access scores the lowest mark, 1: power comes from imported diesel across scattered islands, and there is almost no data capacity. Language inclusion is 1.2, because Dhivehi is spoken by few and served by little AI. Ten-year trend growth of 6% a year is strong but tied to tourist arrivals.
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. Maldives would grow 6.1% a year and rank 11th of 157, because in a skeptic's world its tourism-led trend keeps it near the top of a slow field. The economy would double in under twelve years. Under Gradual takeoff, growth would climb over two decades and reach 7% a year once AGI matures around 2045, a doubling in about ten years. But its rank would slip to 99th, as faster movers pull away. Under Fast takeoff, growth would reach only 5.1% a year from the early 2030s, and Maldives would fall to 119th, down twenty places. That rate is below the 6% trend the country could expect with no AGI at all: a fast world rewards compute and frontier access Maldives does not hold, and reprices the labor-intensive work it sells. Regulation and politics could slow or redirect any of these paths. How Maldivians 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 alike until about 2030, so 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 point to a fast world; a point or two above trend by the mid-2030s to a gradual one; a fade back to trend to a modest one. Maldives' own tells would come sooner than the GDP data: tourist booking and spend from its main source markets, financial close on solar-plus-storage and undersea cable projects, and take-up of digital government services.
If growth goes explosive
Explosive is the wrong word for Maldives. Under gradual takeoff, 7% growth a year would run ahead of its own history but behind its region, whose median would reach 9.1%. It would trail the frontier badly, where the United States would compound near 19.5%. Under fast takeoff the gap widens: 5.1% growth would be slower than the 6% trend Maldives could expect without AGI, while the frontier raced ahead at 39.2%. That is relative decline, honestly stated. At 7% the economy doubles in about ten years; at 5.1%, closer to fourteen. Tourism and fisheries would stay the base, and AI services would remain thin as long as compute is rented, not owned. As a country that imports much of its workforce, faster growth would raise labor demand and wages, deepening reliance on migrant workers rather than reversing any outflow. Here is the honest downside. Maldives climbs through the very rungs automation reprices: labor-intensive resort service and construction. A low-lying nation also faces the sea rising as the frontier pulls away. The hedge is to defend the coastline, diversify beyond a single export, and own capacity rather than rent it. Even so, the pace-setter would shift to the state, testing whether ministries can permit power, water and building across more than 180 inhabited islands, and whether customs and courts can keep up.
What Maldives can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion, already a relative strength at 2.7. Digital skills, permissive deployment and digitized government carry weight even in the skeptic's world, so protecting and extending them is a no-regret move. The second is physical build speed, low at 2.3. Faster permitting, pre-zoned land and transmission built ahead of demand help the economy under every scenario, and a scattered island state needs them most. The third lever is the bet. Compute and energy access, scored 1, barely moves growth if AI stays ordinary, but under fast takeoff it becomes the largest single factor. Closing it means packaging renewable power, storage and connectivity to attract investment a $8 billion economy cannot fund alone. Maldives can adapt a working model: Rwanda built the Irembo platform to move government services online, lifting diffusion from a low base. A cautious government can act on the two no-regret levers today and lose nothing if the skeptics are right. To see how moving any of these scores changes Maldives' path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Maldives’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 Maldives: 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.