Kazakhstan
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
These economies supply copper, fuels, bauxite, iron ore, uranium and other inputs required for the build-out.
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 Kazakhstan starts
Kazakhstan enters the AGI era as a resource supplier — a country that sells the build-out its raw inputs. It is the world's largest uranium producer through Kazatomprom, and fuels make up 59% of its exports. But it stands apart from most of its archetype on three scores. Physical build speed is 4.3 out of 5, well above the resource-supplier median. AI diffusion capacity is 3.5, and cyber resilience is 3.9, both far ahead of peers. What holds it back is what a resource economy usually lacks. Compute and energy access scores just 1.5. Geopolitical positioning is 2, reflecting a state balanced carefully between Washington, Beijing and Moscow. Catch-up headroom is 2.2. At about $14,692 GDP per person, Kazakhstan is upper-middle-income, with ten-year trend growth of 3% a year.
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. Kazakhstan would gain a little on trend: 3.2% growth a year, 66th of 157, doubling its economy in about 22 years. Commodity exports would carry it, much as today. Under Gradual takeoff, growth would climb over two decades and reach 9.7% a year once AGI matures around 2045. That would lift it to 58th, and an economy growing at 9.7% doubles in roughly seven and a half years. Under Fast takeoff, growth would reach 14.2% a year from the early 2030s, a doubling every five years or so, and its rank would rise seven places to 51st. A fast world bids up the copper, uranium and fuels a global build-out consumes. Kazakhstan would earn more for what it sells than it pays for imports, and that gain lifts a resource supplier's standing. Regulation and politics could slow or redirect any of these paths. How Kazakhstanis 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 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 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. Kazakhstan's own signals would arrive earlier than the growth data: financial close on its first nuclear plant, hyperscaler or data center commitments on Kazakh soil, and the order books and prices for its uranium, copper and oil.
If growth goes explosive
Explosive is relative. At 14.2% growth a year, Kazakhstan would still trail the frontier, where the United States would be compounding at nearly 40%. But it would run well ahead of its region, whose fast-world median is 8%. The economy would double roughly every five years, so a child starting school today would finish it in a country several times richer. Demand for uranium, copper and fuels would swell state revenue, and higher wages at home would ease the pressure to leave for work abroad. There is a way this leaves Kazakhstan worse off. A commodity boom is not a development strategy. If the rents are spent rather than turned into skills, industry and owned compute, they evaporate when the build-out slows. The data centers that would host any AI economy are assets only if Kazakhstan owns them; rented from abroad, they can be throttled or repriced elsewhere, and the country's alignment would follow whoever supplies its models. The hedge is to convert the boom while it lasts. Even then, the pace-setter would shift from the mine and the oil field to the state, testing how fast the energy ministry, the AIFC and Samruk-Kazyna can permit, finance and count.
What Kazakhstan can do now
Three levers follow from the scores, and two of them pay off whether or not AGI arrives. The first is catch-up headroom, low at 2.2. Stronger institutions, rule of law and property rights, plus openness to trade and foreign investment, raise growth in the skeptic's world and every other. That is a no-regret move a cautious government can make today. The second is geopolitical positioning, at 2. Kazakhstan's multi-vector diplomacy already balances Washington, Beijing and Moscow; the no-regret task is to keep access to Western capital markets, avoid sanctions exposure and negotiate technology access carve-outs. The third lever is the bet. Compute and energy access, at 1.5, barely moves growth if AI stays ordinary, but under a fast takeoff it carries more weight than any other factor. Closing it means fast-tracking grid and generation — including the nuclear plant approved by referendum — and packaging power, land and permits to draw hyperscale investment. Kazakhstan can adapt a working model from its archetype: Chile is using its cheap renewable power to court hyperscalers through a national data center plan. To see how moving these scores changes Kazakhstan's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Kazakhstan’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 Kazakhstan: 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.