Uganda
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Most workers farm small plots, and exports are mainly crops.
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 Uganda starts
Uganda enters the AGI era as 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 sides. Catch-up headroom is 4.8 out of 5, among the highest anywhere: an economy this far below the frontier has enormous room to grow if the inputs appear. A young population scores 3.1. Physical build speed is a respectable 3.3 — the Karuma and Isimba dams on the Nile and the oil works around Lake Albert show it can build. What is missing is decisive. Compute and energy access scores 1, the floor. AI diffusion is 1.5 and language inclusion 1.3. At about $1,206 per person, this is a lower-income country. Ten-year trend growth is 4.8% a year, and it rests heavily on farming and mobile money services rather than industry.
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. Uganda would grow at 4.9% growth a year and rank 27th of 157 — a striking placement. In a skeptic's world, catch-up headroom carries the most weight, and Uganda has more of it than almost anyone. That pace doubles the economy in about 14.5 years. Under Gradual takeoff, growth would climb over two decades and reach 7.6% growth a year once AGI matures around 2045, ranking 86th, with the economy doubling in about 9.5 years. Under Fast takeoff, growth would reach 6.4% growth a year from the early 2030s, a doubling every 11 years or so, but Uganda would slip to 103rd. Note the pattern: Uganda does better under a gradual takeoff than a fast one. A fast world rewards the compute and geopolitical assets Uganda lacks, so faster arrival pushes it down the table. Politics could slow or redirect any path. How Ugandans 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 around 2030. Watch leading indicators, not 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. Uganda's own signals would arrive earlier than the GDP figures: any hyperscaler or data center commitment on Ugandan soil, new grid generation and connections coming online, and how fast digital government services and mobile money adoption spread beyond Kampala.
If growth goes explosive
Explosive is the wrong word for Uganda's numbers. At 7.6% growth a year under Gradual, or 6.4% under Fast, Uganda would run ahead of its own history and above its region's median, yet far behind a frontier compounding at 19.5% or more. This is catch-up, not breakaway. Still, doubling every nine to eleven years is real: a child born today would enter a labor market two or three times larger by adulthood. Farm and informal work would give way to power, construction and digital jobs. Faster growth would raise wages at home and ease the pressure on young Ugandans to emigrate for work — an effect, not a cause. The honest downside is specific. Uganda's asset is its young workforce, and that is the very labor AI is built to substitute for. If the jobs never widen, the dividend curdles. Compute rented from abroad can be repriced or throttled by others. The hedge is to own power and skills, not merely host them. Even at these rates, the test falls on the state: can the revenue authority, the electricity regulator and local councils permit, connect and count fast enough?
What Uganda can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with AI diffusion, at 1.5. 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 make today at no loss. Second, geopolitical positioning, at 2. Keeping access to capital markets, avoiding sanctions exposure and staying a trusted partner protect growth under every scenario — also no-regret. The third lever is the bet. Compute and energy access sits at the floor, 1, and barely moves growth if AI stays ordinary; under a fast takeoff it becomes the single biggest lever. Its energy half — grid connections and new generation — helps households and firms regardless; the data center half needs outside capital a $1,206-per-person economy cannot raise alone. Uganda can adapt a regional model: Kenya has moved much of its government online through the eCitizen platform and courted data center investment at Konza. To see how moving these scores changes Uganda's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Uganda’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 Uganda: 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.