Zimbabwe
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.
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 Zimbabwe starts
Zimbabwe enters the AGI era in the high-risk, volatile group: countries cut off from the AI supply chain, or whose state capacity is too weak to turn AI into growth. The scores explain the label. Compute and energy access score 1, and physical build speed 1 — near the floor. Sanctions, a history of hyperinflation and the new gold-backed ZiG currency point to a fragile fiscal base. What stands out is catch-up headroom at 3.9: Zimbabwe sits far below the frontier, so room to grow exists. Its assets are in the ground — lithium at Bikita and Arcadia, platinum along the Great Dyke, gold and tobacco. Power is the chronic bottleneck; Kariba's droughts and Hwange's aging units mean regular load-shedding. At about $3,021 per person, this is a lower-middle-income economy. Ten-year trend growth is 2% a year.
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. Zimbabwe would hold near trend: 2% growth a year, 117th of 157. Its mines and farms would keep setting the pace. Under Gradual takeoff, growth would inch up over two decades to 2.2% a year once AGI matures around 2045 — and the rank would fall to 155th. Under Fast takeoff, growth would reach 2.1% a year from the early 2030s, and the rank would stay at 155th. The paths barely differ for Zimbabwe, because a faster world rewards the compute, capital and geopolitical standing it does not have. When frontier economies accelerate, standing still means sliding down the ranking even as the growth number holds. Growth this low means no doubling within a working lifetime. The gap between Zimbabwe and the leaders would widen, not close. Politics could still slow or redirect any path. How Zimbabweans 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 nearly identical for Zimbabwe, so watch leading indicators rather than 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, a gradual one; a fade back to trend, a modest one. Zimbabwe's own tells would come earlier: lithium offtake deals and the terms mining partners set, financial close on power projects like Batoka Gorge, new grid capacity from ZESA, and whether mobile networks extend real broadband.
If growth goes explosive
For Zimbabwe, explosive is the wrong word. Its rates stay modest under every scenario, close to the 2% it already grows. Set against a frontier compounding as fast as 39.2% a year, this is relative decline: the leaders would race ahead while Zimbabwe holds its pace. At 2% growth the economy takes a generation to double, so a child born today would reach adulthood in a country only modestly richer. The mix would barely shift — ores would still be more than 40% of exports. There is a real way AGI leaves Zimbabwe worse off. The country rents any advanced computing it uses and owns none, and sanctions plus reliance on a single chip-supplying partner make it a rule-taker in someone else's regime. Meanwhile skilled Zimbabweans already leave for South Africa and Britain; a booming frontier abroad would pull harder, deepening the brain drain. The hedge is to keep talent and diversify partners. The stress test lands on the state itself: the Reserve Bank's fight for currency stability, ZESA's ability to keep the lights on, and permitting offices that already struggle.
What Zimbabwe can do now
Three levers follow from the weakest high-weight scores, and two pay off whether or not AGI arrives. The first is AI diffusion capacity, low at 1.7. Digital skills, permissive rules for deployment and digitized government services raise productivity in the skeptic's world too, so this is a no-regret move. The second is physical build speed, at 1. Faster permitting, pre-zoned land and transmission built ahead of demand serve mines, farms and factories under any scenario — another no-regret step, and the base any later data center build would need. The third lever is the bet: compute and energy access, at 1, carries the most weight of all but barely moves growth if AI stays ordinary. Closing it means fixing generation first — Kariba, Hwange and new capacity — then packaging power and land to draw investment, which sanctions make hard. Zimbabwe can copy a working model from a peer: Ukraine built Diia, a single app that put most government services online. 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 moving these scores reshapes Zimbabwe's path under each scenario.
Use the policy editor to test how different factor scores change Zimbabwe’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 Zimbabwe: 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.