Suriname
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Their exports are food, gold, diamonds, logistics or a small share of output, which AI neither threatens nor much boosts, so AI reaches them mainly through their own firms and governments.
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
Production is relatively manufacturing-intensive. Near-term effects depend on machinery, robotics, supply chains, energy and firms’ capacity to reorganize production, as well as on language models.
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 Suriname starts
Suriname is a stalled-middle economy: middling income, middling factor scores, and growth that has run backwards. Its one clear strength is people. Demographics and migration score 4.1, and language inclusion 3.6, since Dutch and widespread multilingualism connect it outward. The constraints are physical and digital. Compute and energy access scores 1, the floor. Physical build speed is 1.6 and cyber resilience 1.8. Ten-year trend growth of -1.3% a year reflects the 2020 debt default and the IMF program now steering recovery. At about $7,070 per person, Suriname is upper-middle-income but small: 0.64 million people and a $5bn economy. Its near future rests on offshore oil — Staatsolie and the TotalEnergies-led GranMorgu project in Block 58 — not on anything AI touches soon.
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. Suriname would keep contracting slightly: -1.2% growth a year, 153rd of 157. Nothing in a skeptic's world reverses the drift. Under Gradual takeoff, growth would climb over two decades and reach 3.2% growth a year once AGI matures around 2045, ranking 145th. Even then an economy growing at 3.2% takes about 22 years to double. Under Fast takeoff, growth would arrive earlier, from the early 2030s, but reach only 2.9% growth a year, a doubling of roughly 24 years, and the rank would slip to 148th. The reason is telling: a fast world rewards the compute and frontier access Suriname does not have, so faster global change leaves it further behind, not ahead. Any of these paths could be slowed or redirected by politics and regulation, depending on how Surinamese and their government respond to transformative AI. The model holds that response constant.
How you would know which world you are in
The three scenarios look nearly the same until about 2030, so watch leading indicators rather than GDP, and watch 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. Suriname's own tells would come from its oil timeline and its wires: GranMorgu's path to first production, Staatsolie's revenues, undersea cable and connectivity upgrades, and how fast government services move online.
If growth goes explosive
For Suriname, explosive is the wrong word. Its best case, 3.2% growth a year under Gradual, doubles the economy in about 22 years. The frontier would be compounding near 19.5% growth a year in that same world, and its region near 8.1% growth a year. So the gap to faster economies would widen, not close. This is drift, the stalled-middle risk: gains arrive, mostly imported and late. Oil revenue from Block 58 could still lift public finances and fund the catch-up. Suriname's young and mobile workforce is an asset, and stronger wages at home could ease the long pull of emigration to the Netherlands. The honest downside is dependence. Any AI capacity Suriname uses would be rented from abroad, priced and controlled elsewhere, and a small economy outside the main blocs has little say over the terms. The hedge is to bank the oil windfall wisely and buy skills and connectivity with it. The stress test is fiscal: whether the finance ministry, Staatsolie and a thin civil service can manage a windfall without repeating the last debt cycle.
What Suriname can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first no-regret lever is AI diffusion, at 2.7. Digital skills, deployment-friendly rules and digital government carry real weight even in the skeptic's world, and they are cheap next to physical build. The second no-regret lever is physical build speed, at 1.6. Faster permitting, pre-zoned land and transmission built ahead of demand would help the oil economy and any later data center bid alike. A cautious government can act on both today and lose nothing if the skeptics are right. The third lever is the bet. Compute and energy access, at 1, is Suriname's floor; it barely moves growth in a modest world but becomes decisive under fast takeoff. Progress means grid and generation first, then power-and-land offers. Suriname can borrow a small-state model from a peer: Cabo Verde built a technology park in Praia to position itself as a mid-Atlantic digital hub. Open the atlas's policy editor to test how lifting each score reshapes Suriname's path under all three scenarios.
Use the policy editor to test how different factor scores change Suriname’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 Suriname: 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.