Guinea
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
These economies supply copper, fuels, bauxite, iron ore, uranium and other inputs required for the build-out.
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.
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 Guinea starts
Guinea enters the AGI era as a resource supplier: a country that sells the build-out its raw inputs. The scores point to bauxite. Catch-up headroom is 4.2 out of 5, among the highest on this map, because a $1,877-per-person economy has far to climb. Guinea holds the world's largest bauxite reserves and feeds much of China's aluminum industry. The Simandou iron ore project, one of the largest untapped deposits anywhere, is moving toward its first shipments. Ores make up about a quarter of exports. What is missing is everything downstream of the mine. Compute and energy access scores 1, the lowest possible, and physical build speed and AI diffusion both sit at 1.4. Most Guineans lack reliable power. Ten-year trend growth of 6.2% a year is strong, but it rests on digging and selling ore.
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. Guinea would hold its trend: 6.2% growth a year, and 9th of 157, because few economies grow this fast when AI adds little elsewhere. That rate doubles the economy in about 11.5 years. Under Gradual takeoff, growth would still sit at 6.2% a year once AGI matures around 2045, after a two-decade ramp. But Guinea's rank would fall to 107th, because other economies would pull far ahead while Guinea's own rate does not move. Under Fast takeoff, growth would drop to 3.5% a year from the early 2030s, and the rank would slip to 142nd. This is the hard part: Guinea would grow more slowly with fast AGI than without it. A fast world rewards the compute, capital and geopolitical weight Guinea does not hold, and it can reprice the commodities Guinea sells. At 3.5%, doubling takes about 20 years. Politics could slow or redirect any path. How Guineans and their government respond to transformative AI is a variable the model holds constant.
How you would know which world you are in
The scenarios look almost the same until about 2030. Watch leading indicators, not 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 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. Guinea's own signals would arrive earlier than the growth data: bauxite and iron ore prices and the order books of Chinese buyers, the pace of Simandou's shipment ramp, and financial close on new power capacity such as the hydro projects on the Konkouré river.
If growth goes explosive
For Guinea, explosive is the wrong word. Its rates are modest by world standards, and under fast takeoff they fall. At 6.2% growth a year, the economy doubles in about 11.5 years — real catch-up by Guinea's own history. But the frontier would compound at nearly 40% a year in a fast world, so Guinea would lose ground in relative terms. Its young, growing workforce, scored 2.2, is an asset in an ordinary world and less so in one where AI substitutes for labor. Here is the honest downside. Guinea sells raw ore, which sits near the bottom of the value chain. A fast takeoff can reprice those commodities and pull demand toward economies that own the compute. That is why Guinea's fast rate falls below its trend. The hedge is the archetype's oldest lesson: convert the rents while they last, into power, schools and processing, rather than banking on the boom. Even then, the pace-setter shifts to the state, testing whether the mining ministry, the transitional government and the revenue service can negotiate contracts, collect royalties and spend them well.
What Guinea can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with AI diffusion, at 1.4. Digital skills and digitized government services carry weight in every scenario, so building them is a no-regret move a cautious government can make today. The second no-regret lever is physical build speed, also 1.4. Faster permitting, pre-zoned land and transmission built ahead of demand would help the mines, the ports and the power grid under any future. The third lever is the bet. Compute and energy access scores 1, the lowest on the map, and carries the most weight of all. In an ordinary world it barely moves growth; only under fast takeoff would it dominate, and even then Guinea's rank slips. But the energy half is worth doing regardless, because most Guineans still lack reliable power. Guinea can adapt a working model from its archetype: Chile launched a national data center plan that pairs guaranteed renewable power with pre-zoned land to attract investment. Guinea could package its Konkouré hydro power the same way. Open the atlas's policy editor to test how raising these scores would change Guinea's path under each scenario.
Use the policy editor to test how different factor scores change Guinea’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 Guinea: 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.