Liberia
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
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.
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 Liberia starts
Liberia enters the AGI era in the high-risk and volatile group: countries cut off from the AI supply chain, or with state capacity too weak to turn AI into growth. The scores show why. Compute and energy access is 1 out of 5, cyber resilience 1.1, and AI diffusion capacity 1.2 — near the floor on every input a digital economy needs. What Liberia has is room to grow: catch-up headroom scores 4.7, among the highest anywhere, because it starts so far back. Physical build speed is a middling 2.7. Its real assets are older: the Freeport of Monrovia, ArcelorMittal's iron ore concession, Firestone's rubber estate, and the world's second-largest ship registry. At about $915 per person, this is a lower-income economy. Ten-year trend growth of 1.5% a year leaves little slack to finance anything new.
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. Liberia would hold at its trend, 1.5% growth a year, 132nd of 157. Nothing in the global build-out would reach it. Under Gradual takeoff, growth would rise slowly over two decades and reach 3.4% a year once AGI matures around 2045, ranking 142nd. Even at that pace the economy needs almost 21 years to double. The gain comes from cheaper tools and services spilling in from abroad, not from anything Liberia builds. Under Fast takeoff, growth would also settle near 3.4% a year from the early 2030s, and Liberia's rank would slip to 143rd. A faster world rewards the compute, capital and geopolitical standing Liberia does not hold, so the frontier pulls ahead of Liberia rather than lifting it. Regulation and politics could slow or redirect any of these paths. How Liberians 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 the same until about 2030. Watch leading indicators, not GDP, and check 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 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. Liberia's own signals would arrive earlier than GDP: the revenue line from the ship registry, ArcelorMittal's mining and rail volumes, mobile money and connectivity uptake, and any financial close on new power generation.
If growth goes explosive
For Liberia, it would not. At 3.4% growth a year, Liberia would stay near its own history and below its region's median, while the frontier compounds at up to 39% a year in a fast world. That is relative decline, not catch-up. The economy would take about 21 years to double, while the leaders would multiply many times over in the same span. Liberia's workforce is young and growing, and faster growth at home would lift wages and ease the pressure to leave for work abroad. The honest downside is being left behind while others race ahead. Liberia rents whatever compute it uses and owns none of it, leaving it a rule-taker in other powers' chip and capital systems, and its most skilled people could be pulled toward the booming economies. The hedge is to close the power and connectivity gap now, in the cheap window before full automation. Even a slow lift-off would test the state: the Liberia Electricity Corporation, the land and mining registries, and post-war courts would all have to permit, adjudicate and count faster than they do today.
What Liberia 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 1.2. Digital skills, permissive rules for deploying tools, and digitized government services raise productivity in the skeptic's world too, so this is a no-regret move a cautious government can start today at no loss. The second is geopolitical positioning, at 2. Keeping access to capital markets, avoiding sanctions exposure and negotiating technology access terms protect Liberia under every scenario, which makes this no-regret as well. 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 Liberia's single largest lever, and the electricity it requires is worth building regardless. Closing it means fast-tracking new generation and grid links through the West Africa Power Pool, building on Mount Coffee, and packaging power and land for investors Liberia cannot fund alone. DR Congo, a peer in the same group, is pushing to expand Congo River hydropower to sell electricity regionally; Liberia can adapt that model at its own scale. Open the atlas's policy editor to test how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change Liberia’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 Liberia: 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.