Croatia
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Capital is converted quickly into power, data centers and other physical AI capacity.
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
Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.
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 Croatia starts
Croatia enters the AGI era as a stalled middle: neither frontier nor fragile, with middling scores and slow growth. It is a European Union and eurozone member with strong environmental resilience (4.3 out of 5) and solid cyber resilience (3.8). The economy leans on tourism along the Adriatic and on manufacturing, which makes up about 64% of exports. Rimac Automobili, the electric-hypercar maker near Zagreb, shows the country can build advanced technology. What holds it back is written in two scores. Demographics and migration is 1.2: Croatia has lost people to emigration since EU accession, and its population is aging fast. Compute and energy access is 1.1, because it has almost no data center capacity today. Ten-year trend growth of 3.4% a year is respectable for the region, but at roughly $27,104 per person the gap to faster economies keeps widening.
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. Croatia would gain a small lift: 3.6% growth a year, 51st of 157. Its strong institutions and adoption capacity would keep it near the middle of the pack. Under Gradual takeoff, growth would climb over two decades and reach 9.1% a year once AGI matures around 2045. That would rank it 67th, because many peers with more headroom accelerate faster. An economy growing at 9.1% doubles in eight years. Under Fast takeoff, growth would reach 13.3% a year from the early 2030s, a doubling every five to six years, and its rank would recover to 54th. A fast world rewards Croatia's high-trust absorption and rich-country stability more than a gradual one does. Regulation and politics could slow or redirect any of these paths. How Croatians 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, so 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. Croatia's own signals would arrive earlier than the growth data: hyperscaler or EU hosting commitments on Croatian soil, grid connection and permitting decisions for energy projects, and the order books at firms like Rimac.
If growth goes explosive
Explosive is relative. At 13.3% growth a year under a fast takeoff, Croatia would still trail its own region, where the median runs at 16.4%, and fall far behind a frontier compounding at 39.2%. By world standards these are catch-up rates, not explosive ones. Even so, they would change daily life. The economy would double every five to six years, so a child starting school today would finish it in a country several times richer. Tourism and manufacturing would still anchor exports, but computing and traded services could grow alongside them, and rising wages would ease the pressure to emigrate for work. There is a way this leaves Croatia worse off. Its deepest weakness is people. A shrinking, aging workforce limits how much growth the country can absorb, and a faster-growing frontier could still pull skilled young Croatians abroad. The hedge is to make Croatia a place workers want to stay in and move to. Even then, the pace-setter would shift to the state. Croatia's slow permitting, its courts, and its record of leaving EU funds unspent would all be tested by the need to approve, adjudicate and count at speed.
What Croatia can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with catch-up headroom, at 2.1. Stronger institutions, openness to trade and investment, and better absorptive capacity in education and finance carry real weight even in the skeptic's world, so acting here is a no-regret move. The second no-regret lever is demographics, at 1.2. Raising labor force participation among women and older workers, investing in skills, and offering talent visas would help under every scenario and blunt depopulation. The third lever is the bet. Compute and energy access, at 1.1, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Croatia's single biggest lever, at nearly a fifth of the weight. Closing it means faster grid connections, streamlined permits and power-and-land packages to draw data center investment. Croatia can borrow from a fellow stalled-middle peer: Lithuania built a startup-visa and fintech-licensing regime that drew founders and skilled workers to Vilnius. 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 Croatia's path under each scenario.
Use the policy editor to test how different factor scores change Croatia’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 Croatia: 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.