Slovenia
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.
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 is relatively manufacturing-intensive. Near-term effects depend on machinery, robotics, supply chains, energy and firms’ capacity to reorganize production, as well as on language models.
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 Slovenia starts
Slovenia is a high-trust diffuser: rich, skilled and quick to absorb AI. The label fits its scores. Cyber resilience is 4.6 out of 5, among the world's leaders, and climate resilience is 4.4. AI diffusion capacity is 4, helped by the Jožef Stefan Institute and the UNESCO-affiliated International Research Centre on Artificial Intelligence in Ljubljana. The economy is small and open, with manufacturing making up 86% of exports — Krka's pharmaceuticals, Renault's Revoz plant, the Port of Koper. GDP per person is about $37,400 firmly high-income. What Slovenia lacks is capacity of its own. Compute and energy access scores 1.1, near the bottom. Its population is aging, so demographics score 1.5. Ten-year trend growth is 3% a year. Every scenario turns on whether Slovenia can build power and secure chips.
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. Slovenia would gain a small lift: 3.2% growth a year, 67th of 157. Its head start in adoption would compound gently, but the economy would stay near its own history, doubling only every 22 years. Under Gradual takeoff, growth would climb for two decades and reach 9.1% a year once AGI matures around 2045, ranking 66th. An economy growing at 9.1% doubles in about eight years. The long ramp gives Slovenia time to turn its skills and institutions into AI-driven services. Under Fast takeoff, growth would reach 12.6% a year from the early 2030s, a doubling every six years or so, lifting Slovenia to 59th — seven places higher. The faster world rewards its diffusion strength before automation goes deep. Regulation and politics could slow or redirect any of these paths. How Slovenians 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. Slovenia's own signals would arrive sooner than the growth data: hosting or cloud commitments landing on Slovenian soil, a firm decision on the second Krško nuclear unit, and AI adoption rates in its pharma and auto suppliers.
If growth goes explosive
Explosive is relative. At 12.6% growth a year under Fast, Slovenia would run well ahead of its own past, but behind both its region and the frontier. Europe's median would reach 16.4% and the United States would compound at 39.2%. So this is catch-up against Slovenia's history, and relative decline against the pace-setters. Still, an economy doubling every six years transforms a working life: a graduate today could see the country several times richer by mid-career. Rising wages would ease the pull that draws skilled Slovenians to Austria and Germany. There is a way this leaves Slovenia worse off. It would absorb AI it does not own. Its frontier access rests on alliance inclusion and on open-weight models staying near the frontier — decisions made in Washington and in a few labs, not in Ljubljana. Rented compute can be repriced or cut off. The hedge is to own more of the stack: firm power, some hosted capacity, deep skills. Even then, the pace would shift to the state, testing how fast ministries, the ELES grid operator, environmental permitting and the courts can approve, connect and rule.
What Slovenia can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is physical build speed, low at 2.4. Statutory time limits on permits, one-stop approvals and land pre-zoned for industry and energy would help under every scenario. That makes it a no-regret move. The second is demographics and migration, at 1.5. Raising participation among older workers and women, investing in skills so people work alongside AI, and opening skilled-migration routes all pay off regardless of takeoff — another no-regret lever. The third is the bet: compute and energy access, at 1.1, Slovenia's biggest lever in a fast world. It barely moves growth if AI stays ordinary. Closing it means firm power — a decision on the second Krško nuclear unit — plus grid connection and land-and-power packages to attract hosting. Slovenia can copy a working model: Sweden drew data centers to its north with cheap clean power and quick permits. A cautious government can act on the two no-regret levers today and lose nothing. To see how moving these scores changes Slovenia's path, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Slovenia’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 Slovenia: 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.