Gabon
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.
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 Gabon starts
Gabon enters the AGI era as a resource supplier, a country that sells the build-out its raw inputs. Its export mix says why. Fuels are 54% of exports and ores another 23%. Manganese from the Moanda mines, run by Comilog, is among the world's largest sources, and offshore oil still funds the state. At about $8,263 per person, Gabon is richer than most of its region but grows slowly, with ten-year trend growth of 2% a year. Its strengths are environmental: climate and environmental resilience scores 4.2, reflecting forest cover across nearly nine-tenths of the country and the carbon payments it won under the Central African Forest Initiative. The binding constraints are physical and digital. Compute and energy access scores 1.1, and physical build speed 1.3. Little data center capacity exists, and construction is slow.
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. Gabon would gain a little on trend: 2.1% growth a year, 114th of 157. Under Gradual takeoff, growth would build over two decades and reach 4.5% a year once AGI matures around 2045. An economy at that rate doubles in about sixteen years. Yet Gabon's rank would fall to 133rd, because faster-growing economies pull ahead. Under Fast takeoff, growth would also reach 4.5% a year, arriving from the early 2030s, with the same sixteen-year doubling; the rank would sit at 132nd. The pattern is the region's hardest lesson: higher growth than today, but a lower place in the world, because a fast takeoff rewards the compute, capital and geopolitical weight Gabon lacks. Its gains would come mainly from selling manganese and energy into a global build-out. Regulation and politics could slow or redirect any of these paths. How Gabonese 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 alike 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. Gabon's own signals would arrive sooner: manganese and oil order books and prices, financial commitments to processing at Nkok, and any hosting or grid deals on Gabonese soil.
If growth goes explosive
For Gabon, explosive is the wrong word. At 4.5% growth a year, its path is modest by world standards. Under a fast takeoff the frontier would compound at nearly 39% a year, so the gap with the richest economies would widen, not close. Against its own history the story is better: 4.5% doubles the economy about every sixteen years. As a resource supplier, Gabon sits in the one lower-income group whose terms of trade could improve as the build-out bids up manganese and energy — the prices of what it sells rising faster than the prices of what it buys. Stronger demand for labor at home would ease the pressure to emigrate. The honest downside is the resource curse. A commodity boom is not a development strategy; rents that are spent rather than converted into grids, schools and industry evaporate when prices turn. The hedge is to save the windfall and process ores at home instead of shipping them raw. Even then, the pace-setter would shift to the state, testing whether the transitional government, the mines and oil ministries, customs and the courts can bank and direct the money.
What Gabon can do now
Three levers follow from the scores. Start with the one that pays off whether or not AGI arrives. AI diffusion capacity, at 2.2, rests on digital skills and digital government. These carry weight even in the skeptic's world, so building them is a no-regret move: digitize public services first, teach AI literacy, and ease data and procurement rules. Physical build speed, low at 1.3, is also close to no-regret. Faster permitting, pre-zoned land and transmission built ahead of demand help under any scenario, and they are the inputs any processing plant or data center would need. The third lever is the bet. Compute and energy access, at 1.1, barely moves growth if AI stays ordinary, but under a fast takeoff it carries the most weight of all. Closing it means packaging cheap power and land to attract investment, which a $21-billion economy cannot fund alone. Gabon can adapt a peer's model: Chile's national lithium strategy took a state stake to capture more value from its ore instead of exporting it raw — the same logic Gabon could apply to manganese. A cautious government can act on the two no-regret levers today and lose nothing. To see how these scores shift Gabon's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Gabon’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 Gabon: 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.