Lens
Gradual: Broad automation and transformative growth · AGI ~2040
Growth as of

Benin

Sub-Saharan Africa · Smallholder economies
$1,658
GDP per capita · 2025 · World Bank
AGI Growth Index
47.3
Post-AGI rate · from 2040 · Gradual
6.6%
vs trend +0.4pp · doubles every 10.8y
Growth in 2035 · Gradual
6.3%
vs trend +0.1pp
Trend, no AI
6.2%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.04
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
6.4%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$2k$4k$6k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Benin
Smallholder economies

Most workers farm small plots, and exports are mainly crops.

Modeled advantage: AI arrives late and mostly by phone, as advice for farmers, health care and schooling; gains follow power, connectivity and skills.
Main exposure: Their fast pre-AI growth came from catching up. Under Fast the frontier pulls away faster than they can absorb new technology, and several fall below their no-AI trend.
Compute & Energy Access1.0
Geopolitical Positioning2.0
AI Diffusion Capacity1.4
Language Inclusion2.7
Physical Build Speed3.4
Catch-up Headroom4.7
Demographics & Migration2.6
Cyber Resilience2.6
Climate & Environmental Resilience1.9

How this economy meets AI

Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.

Production baseAgrarian
Workforce structureAgrarian workforce
Work organizationHighly informal
Current automationLow current exposure

Where output comes from (% of GDP)

Agriculture 202522.9%
Industry 202517.5%
Services 202550.1%

Where people work (% of employment)

Agriculture 202540.2%
Industry 202518.3%
Services 202541.4%

Informal employment

Share of employment 202296.3%

Current automation exposure

Tasks exposed24.6%
Interpretation of these indicators

A large share of the workforce remains in agriculture and informal activity. This provides some initial insulation from cognitive automation but also limits the speed at which existing workplaces can capture productivity gains.

Current automation, not AGI. The Global Automation Atlas measures economically plausible automation in typical workplaces around 2026. It is a useful baseline for where automation can enter today, not a forecast of exposure to gradual or fast AGI. Explore current task exposure in the Global Automation Atlas →

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.

Country brief · simulations, not forecastsDownload the earlier brief (PDF)
This brief is being updated. It was drafted before the atlas’s latest model update, so some of its growth rates, ranks and dates differ from the figures above. Where they differ, the figures above are current.

Where Benin starts

Benin is a reform climber: a country growing steadily from a low base while its institutions improve. The defining number is catch-up headroom, 4.6 out of 5, among the highest on the map, because Benin has so far to rise. Ten-year trend growth of 5.5% a year reflects a decade of reform, from port modernization to the Glo-Djigbé Industrial Zone that now processes cotton and cashew at home rather than shipping them raw. Physical build speed scores 3.3, a regional strength. The constraints are stark. Compute and energy access scores 1, the floor. AI diffusion capacity is 1.4. At about $1,658 per person, this is a lower-middle-income economy with little spare capital. Its growth so far has come from the labor-intensive work that automation reprices first.

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. Benin would grow at 5.6% a year and rank 17th of 157, because when the frontier grows only 3% a year, steady catch-up looks strong. An economy at that rate doubles in about thirteen years. Under Gradual takeoff, growth would climb over two decades and reach 7.2% a year around 2045, doubling in ten years. Yet Benin's rank would fall to 97th, as ready economies pull far ahead. Under Fast takeoff, growth would reach 6.6% a year from the early 2030s, a doubling every eleven years or so, and the rank would slip to 100th. A fast world rewards the compute and geopolitical standing Benin does not yet hold, so speed helps it least. Regulation and politics could slow or redirect any of these paths. How Beninese 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 scenarios look almost identical 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 point to a fast world. A point or two above trend by the mid-2030s would point to a gradual one. A fade back to trend would point to a modest one. Benin's own signals would arrive sooner: firm export orders at the Glo-Djigbé zone, progress on West African Power Pool interconnection, and how fast government services move online.

If growth goes explosive

For Benin, explosive is the wrong word. At 7.2% growth a year, Benin would run well ahead of its own history and above its region's median, but far behind a frontier compounding near 39% in a fast world. This is catch-up, not breakout, and against that frontier it is relative decline. Still, an economy doubling every ten years changes a life: a child born today would finish school in a country twice as rich. Processing and services could grow alongside cotton and cashew, and rising wages at home would ease the pressure on young Beninese to emigrate for work. There is an honest downside. Benin owns almost no compute; its score is 1. So any AI it used would be rented from abroad and priced by others, and rented capacity can be throttled or repriced by decisions made elsewhere. The hedge is to buy or co-own capacity, not just consume it. Even at these rates, the pace-setter would shift to the state, testing Cotonou's port customs, its permitting offices, its power regulator and its courts.

What Benin can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion capacity, at 1.4. Digital skills, permissive deployment rules and online government services carry real weight even in the skeptic's world, so this is a no-regret move Benin can start today. The second is geopolitical positioning, at 2. Keeping access to capital markets and trusted-partner frameworks protects the economy under every scenario, another no-regret step. The third lever is the bet. Compute and energy access, at 1, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Benin's single largest lever. Closing it means fast-tracking grid connection through the West African Power Pool and packaging power, land and permits to attract investment. A $1,658-per-person economy cannot fund this alone, so it needs partners and co-investment. Benin can adapt a working model from its region: Rwanda built the Irembo platform to move public services online, lifting diffusion at low cost. Open the atlas's policy editor to see how moving these scores reshapes Benin's path under each scenario.

Use the policy editor to test how different factor scores change Benin’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.

For government planning · compatible with any AI model

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 Benin: 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

No score targets included. Set them in the policy editor.

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.