Serbia
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 Serbia starts
Serbia sits in the "stalled middle": neither frontier nor fragile, with middling income of about $15,300 a person and scores to match. Its ten-year trend growth is 3.3% a year. The scores show real capability in places. Cyber resilience is 4.1 out of 5 and climate resilience 4, both well above its archetype peers. Physical build speed and AI diffusion capacity both score 3.6, reflecting a competent software workforce in Belgrade and Novi Sad and the state's own AI supercomputer at the Kragujevac data center. What holds Serbia back is structural. Compute and energy access scores 1.1. Demographics and migration score 1.2, the mark of an aging, shrinking population and years of emigration. Geopolitical positioning, at 2, reflects a balancing act between the EU, Russia and China. Every scenario turns on whether Serbia can fix these three gaps.
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 and Serbia gains a small lift: 3.5% growth a year, 56th of 157. Under Gradual takeoff, growth would climb over two decades and reach 8.4% a year once AGI matures around 2045, a doubling in under nine years. Yet Serbia's rank would slip to 79th, because faster-moving economies convert the same wave sooner. Under Fast takeoff, growth would reach 11.5% a year from the early 2030s, a doubling every six years or so, and the rank would recover to 66th. Serbia rises under Fast but slips under Gradual because a fast world rewards the build and cyber strengths it already holds, while a gradual one gives slower rivals time to catch up. Regulation and politics could slow or redirect any of these paths. How Serbs 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. In all three, the late 2020s add only fractions of a point to growth. 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 a gradual one; a fade back to trend a modest one. Serbia's own signals would arrive earlier: hyperscaler hosting commitments on Serbian soil, grid interconnection and new-generation deals, progress on EU accession and inclusion in trusted-partner chip frameworks, and the hiring and order books of Belgrade's software firms.
If growth goes explosive
Explosive is relative. At 8.4% growth a year under Gradual, Serbia would run well ahead of its own history but behind its region, whose economies would grow at a 10.4% median. At 11.5% under Fast it would trail the regional median of 16.4% and fall far behind a frontier compounding at 39.2%. So this is catch-up by Serbia's own past and relative decline against faster neighbors. Even so, an economy doubling every six years transforms a working life: a graduate today would reach mid-career in a country several times richer. Rising labor demand and wages would ease the pressure to emigrate that has drained Serbia for a generation. There is a way this leaves Serbia worse off. Its balancing act between blocs risks sanctions exposure and exclusion from the trusted-partner frameworks that supply chips, leaving it a rule-taker in someone else's compute regime. The hedge is to secure alignment and protect capital market access before the door narrows. Even then, the pace-setter would shift to the state, testing EPS and the grid, permitting offices, the courts and the accession bureaucracy.
What Serbia can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is demographics, low at 1.2. Raising participation among women and older workers, and building human capital so people complement AI, strengthens the economy under every scenario; it is a no-regret move. The second is geopolitical positioning, at 2. Avoiding sanctions exposure and keeping access to capital markets and chip-supplying partners protects Serbia in any world, so it too is no-regret. 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 Serbia's single biggest lever. Closing it means packaging power, land and fast permits to anchor data center investment. Slovakia, a fellow stalled-middle economy, built itself into Europe's densest per-capita car producer by packaging land, incentives and workforce for foreign investors; Serbia could adapt that model for compute. 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 Serbia's path under each scenario.
Use the policy editor to test how different factor scores change Serbia’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 Serbia: 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.