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

Burkina Faso

Sub-Saharan Africa · High-risk / volatile
$1,148
GDP per capita · 2025 · World Bank
AGI Growth Index
40.8
Post-AGI rate · from 2040 · Gradual
5.2%
vs trend +0.4pp · doubles every 13.7y
Growth in 2035 · Gradual
4.9%
vs trend +0.1pp
Trend, no AI
4.8%
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
5%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$1k$2k$3k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Burkina Faso
High-risk / volatile

Military governments, very weak state capacity, or limited access to the AI supply chain keep these countries from converting AI into growth.

Modeled advantage: They receive the smallest gains under all three scenarios.
Main exposure: Sanctions, conflict, coups, weak institutions and limited compute access.
Compute & Energy Access1.1
Geopolitical Positioning2.0
AI Diffusion Capacity1.3
Language Inclusion2.7
Physical Build Speed1.6
Catch-up Headroom4.7
Demographics & Migration2.4
Cyber Resilience1.7
Climate & Environmental Resilience1.3

How this economy meets AI

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

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

Where output comes from (% of GDP)

Agriculture 202519.9%
Industry 202530.1%
Services 202541.5%

Where people work (% of employment)

Agriculture 202551.8%
Industry 202516.7%
Services 202531.6%

Informal employment

Share of employment 202594.7%

Current automation exposure

Tasks exposed14.3%
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 Burkina Faso starts

Burkina Faso enters the AGI era as a reform climber: a lower-income country growing steadily from a low base, with institutions that are slowly improving. The score that sets it apart is catch-up headroom, 4.7 out of 5 — near the top of the table, because at $1,148 per person there is enormous room to grow simply by adopting what richer economies already know. Ten-year trend growth is 4.7% a year, carried by gold, which now dwarfs the cotton that was long the country's mainstay. The constraints are stark. Compute and energy access scores 1.1, among the lowest anywhere. AI diffusion capacity is 1.3, physical build speed 1.5, climate resilience 1.3. A landlocked Sahel state facing insurgency, Burkina Faso must build almost everything at once.

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. Burkina Faso would see 4.7% growth a year, ranking 32nd of 157 — a high placing, because in a world where AI does not transform growth, its catch-up momentum stands out. That rate doubles the economy in about fifteen years. Under Gradual takeoff, growth would climb over two decades and reach 5.2% a year only around 2045. Yet its rank would fall to 128th, because most other economies would accelerate faster while Burkina Faso lacks the compute and capital to keep pace. At 5.2% the economy doubles in under fourteen years. Under Fast takeoff, growth would reach only 3.6% a year from the early 2030s, and the rank would slip to 141st. This is the hard part: under a fast takeoff Burkina Faso would grow more slowly than it would have without AGI, because a fast world rewards the very assets it lacks. Regulation and politics could slow or redirect any path. How Burkinabè 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 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. Burkina Faso's own signals would arrive earlier than the growth data: new grid and solar financing reaching the Zagtouli plant and beyond, mobile money and internet adoption rates, and whether gold revenue is turned into power and connectivity rather than spent elsewhere.

If growth goes explosive

Explosive is the wrong word here. Burkina Faso's modeled rates are modest: 5.2% growth a year at best under gradual takeoff, and 3.6% under fast. The frontier would be compounding at 19.5% and then 39.2%, so the gap with the richest economies would widen, not close. Even against its own region, whose median reaches 5.7% under gradual, Burkina Faso would lag. At 5.2% the economy doubles in under fourteen years — real progress, but slow beside a frontier doubling every two years. The honest downside is specific. Burkina Faso's path up runs through the very work automation reprices first: manual mining, cotton, low-skill assembly. If AGI cheapens that labor abroad, the export ladder the country is climbing could be kicked away, and it would grow more slowly than without AGI. Faster growth at home would raise wages and ease the pressure on young Burkinabè to migrate for work. The hedge is to bank gold revenue into power and skills now, before automation bites. The stress test would fall on a state already stretched by insurgency: the ministries that permit and count, the grid utility Sonabel, and courts operating in contested territory.

What Burkina Faso can do now

Three levers follow from the scores, and two of them pay off whether or not AGI arrives. The first is AI diffusion capacity, at 1.3. Digital skills, permissive rules for deploying tools, and putting government services online carry weight even in the skeptic's world, so this is a no-regret move a cautious government can start today at no loss. The second is physical build speed, at 1.5. Faster permitting, pre-zoned land and transmission built ahead of demand help under every scenario, and they are what any later energy or data center investment would require — also largely no-regret. The third lever is the bet. Compute and energy access, at 1.1, carries the highest weight of all but barely moves growth if AI stays ordinary; under a fast takeoff it would become decisive. Closing it means turning gold revenue and solar potential into grid capacity, then packaging power and land to draw investment a $1,148-per-person economy cannot fund alone. Senegal, a fellow reform climber, built a national data center at Diamniadio with partner financing — a model Burkina Faso could adapt. Open the atlas's policy editor to see how raising any of these scores would reshape each path.

Use the policy editor to test how different factor scores change Burkina Faso’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 Burkina Faso: 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.