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

Nigeria

Sub-Saharan Africa · Regional leaders
$1,224
GDP per capita · 2025 · World Bank
AGI Growth Index
46.3
Post-AGI rate · from 2040 · Gradual
3.3%
vs trend +1.9pp · doubles every 21.3y
Growth in 2035 · Gradual
2%
vs trend +0.6pp
Trend, no AI
1.4%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.19
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
2.3%
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
Nigeria
Regional leaders

The AI supply chain’s regional gateways: each is the largest economy and data center market in its part of the world. Scale gives them leverage with AI firms, and AI reaches their neighbors through them.

Modeled advantage: AI firms compete for their users with lower prices, local-language models and regional data centers, and AI concentrates in them before it reaches their neighbors.
Main exposure: Scale buys access to AI services, not chips, which follow alliances and capital. Power supply and state capacity decide how much of the leverage turns into growth.
Compute & Energy Access1.7
Geopolitical Positioning2.0
AI Diffusion Capacity2.3
Language Inclusion2.4
Physical Build Speed2.9
Catch-up Headroom3.5
Demographics & Migration2.0
Cyber Resilience2.5
Climate & Environmental Resilience1.5

How this economy meets AI

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

Production baseResource-led
Workforce structureMixed workforce
Work organizationHighly informal
Current automationLow current exposure

Where output comes from (% of GDP)

Agriculture 202523%
Industry 202516.4%
Services 202558.2%

Where people work (% of employment)

Agriculture 202533.5%
Industry 202517%
Services 202549.5%

Informal employment

Share of employment 202493.1%

Current automation exposure

Tasks exposed33.3%
Interpretation of these indicators

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.

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 Nigeria starts

Nigeria is a conditional demographic giant. Its scale and youth are the asset, but only if power, connectivity and capital arrive in time. The scores show both the promise and the gap. Catch-up headroom is 3.6, among the higher scores here, meaning Nigeria sits far below the frontier with room to climb. Physical build speed is a middling 3. But compute and energy access scores just 1.7, climate resilience 1.5, and demographics and migration only 2. At about $1,224 per person, Nigeria is a lower-income economy, and the capital to close these gaps is scarce. Ten-year trend growth is only 1.2% a year, weak for a country of 238 million. The strengths are real: Lagos is Africa's busiest fintech hub, and the Dangote refinery shows Nigeria can build at scale. The binding constraint is a power grid that collapses repeatedly.

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. Nigeria would barely move: 1.3% growth a year, 141st of 157. Under Gradual takeoff, growth would build over two decades and reach 3.6% a year once AGI matures around 2045, ranking 140th. At that pace the economy doubles in about twenty years. Under Fast takeoff, growth would reach 5.2% a year from the early 2030s, a doubling in roughly fourteen years, and Nigeria would climb 23 places to 117th. Notice the pattern. A faster takeoff lifts Nigeria's rank but not its growth toward frontier levels, because speed rewards the compute, capital and geopolitical assets it lacks. Its region as a whole does better under a slow takeoff than a fast one. Regulation and politics could slow or redirect any of these paths. How Nigerians and their leaders 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 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, 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 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. Nigeria's own signals would arrive earlier than the GDP data: new grid capacity and steadier supply, financial close on any hyperscale data center project, hyperscaler commitments landing in Lagos, and mobile connectivity and device use rising across the north.

If growth goes explosive

For Nigeria, explosive is the wrong word. Even under Fast takeoff, 5.2% growth a year would trail a frontier compounding at 39.2%, and under Gradual its 3.6% would fall short of the regional median of 5.7%. Measured against its own 1.2% trend, though, these rates would be a real acceleration. At 5.2% the economy doubles in about fourteen years, so a child born today would enter a labor market twice as large by her mid-teens. Output would shift toward services and digitized government, and rising wages at home would ease the pressure that drives young Nigerians to emigrate. There is an honest downside. Nigeria's asset is a huge young workforce, and that is the very labor AI is best at substituting for. If the jobs the dividend was meant to fill are automated first, the giant becomes a burden. The hedge is to build skills and own compute rather than rent it, so Nigerians work alongside the machines. Even then, the pace-setter shifts to the state, testing whether NERC, the grid operators, the courts and the tax service can permit, adjudicate and collect fast enough.

What Nigeria 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 2.3. Digital skills, deployment-permissive rules and digitized public services carry real weight even in the skeptic's world, so this is a no-regret move Nigeria can start today. The second is the power half of compute and energy access, at 1.7. A grid that does not collapse is worth building under every scenario, and reliable power is the first input any data center build would need, so it is no-regret too. The third lever is the bet: chip access and hyperscale compute, plus the geopolitical positioning to secure them, at 2. These barely move growth if AI stays ordinary, but under a fast takeoff they become Nigeria's largest constraint. A $1,224-per-person economy cannot fund this alone, so it needs trusted-partner alliances and co-investment. Nigeria can adapt a working model from its region: Kenya paired Microsoft and G42 with geothermal power to anchor a new data center. A cautious government can act on the two no-regret levers now and lose nothing. Open the atlas's policy editor to see how moving these scores reshapes Nigeria's path under each scenario.

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