Cameroon
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
Production and exports are resource-led. Direct workplace exposure may be limited, while global demand, commodity prices, extraction productivity and ownership of the resulting capital still transmit AI’s effects.
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 Cameroon starts
Cameroon enters the AGI era as a resource supplier: an economy that sells the build-out its raw inputs. Fuel is 54% of its exports. But it is a lower-middle-income version of the type, at about $1,972 GDP per person, and it lacks the build capacity its peers hold. Physical build speed scores 1.4 out of 5, below the group's median. Compute and energy access is 1.1, near the bottom of the world. What Cameroon does have is room to grow: catch-up headroom scores 4.2, because it starts so far behind the frontier. Its bilingual French-English workforce gives it a language inclusion score of 3. Real assets exist — the Kribi deep-water port, the Nachtigal hydropower dam, the Chad-Cameroon oil pipeline. Ten-year trend growth is 3.5% a year. The binding constraint is power and connectivity, not ambition.
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. Cameroon would grow at 3.6% a year, 54th of 157, roughly its trend plus a fraction. An economy at that pace doubles in about twenty years. Under Gradual takeoff, growth would build for two decades and reach 5.6% a year once AGI matures around 2045, ranking 120th, a doubling every thirteen years or so. The long runway lets rising demand for its resources and slow diffusion lift the economy above trend. Under Fast takeoff, growth would reach 4.9% a year from the early 2030s, a doubling roughly every fifteen years, but Cameroon's rank would slip to 127th. A fast world does less for Cameroon than a gradual one, because speed rewards the compute, capital and chips it does not hold. That is the region's hardest lesson. Politics and regulation could slow or redirect any of these paths. How Cameroonians 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 would signal a gradual one. A fade back to trend would signal a modest one. Cameroon's own signals would arrive earlier than the growth data: new contracts and prices for its oil, gas and timber; whether Nachtigal runs at full output and new generation reaches financial close; and how fast fibre and electricity connections spread to households and firms.
If growth goes explosive
For Cameroon, it would not. Its rates are modest by world standards. At 5.6% growth a year under the gradual path, it would fall further behind a frontier compounding near 19.5%, and under fast takeoff the gap would be wider still, against a frontier near 39.2%. Measured against its own 3.5% trend, though, the gradual path would be real progress: the economy would double in about thirteen years, so a child born today would enter a workforce in an economy twice as large. Rising wages at home could ease the pressure on young Cameroonians to emigrate for work. There is an honest downside. Fuel is more than half of exports, and a commodity boom is not a development strategy. If AI speeds the shift away from fossil fuels, or reprices them, rents that were never converted into power, skills and capacity would simply evaporate. The hedge is to bank the boom into lasting assets while it lasts. Even then, the pace-setter would shift to the state, testing whether the national oil company, the ministries, the ports at Douala and Kribi and the courts can permit, tax and account fast enough.
What Cameroon can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion capacity, low at 1.9. Digital skills, deployment-permissive rules and digitised government services carry weight even in the skeptic's world, so this is a no-regret move, and Cameroon's bilingual workforce gives it a head start. The second no-regret lever is physical build speed, at 1.4: faster permitting, pre-zoned land and transmission built ahead of demand help under every scenario, and electrifying homes and firms is worth doing on its own. The third lever is the bet. Compute and energy access, at 1.1, carries the most weight of all but barely moves growth if AI stays ordinary; under a fast takeoff it would be Cameroon's biggest lever. Closing it means packaging hydropower, gas and land to draw data center investment and secure chip access through partners. A $1,972-per-person economy cannot fund this alone. Cameroon can adapt a model from its archetype: Chile paired cheap renewable power with hyperscale data centres from Google and Microsoft. A cautious government can act on the two no-regret levers today and lose nothing if the skeptics are right. Open the atlas's policy editor to see how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change Cameroon’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 Cameroon: 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.