Niger
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Military governments, very weak state capacity, or limited access to the AI supply chain keep these countries from converting AI into growth.
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 Niger starts
Niger enters the AGI era as a resource supplier: uranium and oil, not factories. Ores make up 44% of its exports and fuel another 18%. The uranium mines around Arlit, long run by France's Orano, and the Agadem oil field, now piped to Benin's coast by Chinese engineers, define the economy. Its standout score is catch-up headroom, 4.9 out of 5, because at about $775 per person there is enormous room to grow. The constraints are just as stark. Compute and energy access scores 1 — most of its 28 million people have no reliable electricity. AI diffusion capacity is 1.1, climate resilience 1.2, cyber resilience 1.3. Physical build speed, at 2.6, is its strongest input. Ten-year trend growth is 5.7% a year, high but from a very low base.
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. Niger would hold its trend at 5.7% growth a year, ranking 15th of 157 — high, because in a world where AI changes little, a lower-income country with room to catch up outpaces richer, slow-growing ones. That pace doubles the economy in about twelve to thirteen years. Under Gradual takeoff, growth would edge up over two decades to 6% a year by around 2045, a doubling in under twelve years, but Niger's rank would fall to 112th as more capable economies pull away. Under Fast takeoff, growth would fall to 4.4% a year from the early 2030s and Niger's rank would slip to 134th. That is slower than Niger would grow without AGI at all: a fast world rewards the compute, capital and geopolitical weight Niger lacks. Politics could slow or redirect any path. Niger's transitional government and its people may respond to transformative AI in ways 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 single 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, above all the United States and China, breaks above trend in the early 2030s. Double-digit growth there within a couple of years of 2030 would mark a fast world; a point or two above trend by the mid-2030s a gradual one; a fade back to trend a modest one. Niger's own signals would arrive sooner: long-term uranium supply contracts and their prices, whether Orano's mines reopen and expand, throughput on the Agadem-Benin pipeline, and the pace of new solar and grid connections.
If growth goes explosive
For Niger, explosive is the wrong word. At 6% growth a year under Gradual takeoff, Niger would barely beat its own history while the frontier compounds at nearly 20%. Under Fast takeoff it would fall behind both the frontier, near 40%, and its own trend. This is relative decline against a world racing ahead. Even so, 6% growth doubles the economy in under twelve years, so a child born today could reach adulthood in a country three to four times richer. Faster growth at home would raise wages and labor demand, easing the pressure on young Nigeriens to leave for work. The honest downside is this: Niger's uranium and oil rents flow through mines and pipelines owned and priced abroad, by France and China. A fast world could bid up uranium for nuclear-powered data centers, yet Niger, as a rule-taker in others' energy systems, might capture little of the gain. The hedge is to convert today's rents into power, schooling and domestic capacity before they fade. The pressure would then fall on Niger's own state: its mining-royalty collection, its thin ministries, and a transitional government that has left ECOWAS and must still deliver.
What Niger can do now
Three levers follow from the scores, and the order matters. Start with the two that pay off whether or not AGI arrives. The first is AI diffusion, at 1.1: basic digital skills, digitized government services and permissive rules for deployment help a low-income economy under every scenario. This is a no-regret move. The second is physical build speed, at 2.6, Niger's strongest input and worth protecting: clearer permitting, pre-zoned land and transmission built ahead of demand serve any growth path. The third lever is the bet. Compute and energy access, at just 1, carries the most weight only if AI transforms the economy, and it barely moves growth if AI stays ordinary. For Niger the first step is simpler than data centers: electricity for a population that mostly lacks it, using the Sahel's abundant sun. Niger can adapt a model from its own archetype. Chile paired cheap renewable power with a national data center plan and drew in investment, including a Google facility near Santiago. 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 raising each score shifts Niger's path under all three scenarios.
Use the policy editor to test how different factor scores change Niger’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 Niger: 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.