Lens
Gradual: Broad automation and transformative growth · AGI ~2040
Growth as of

Bulgaria

Europe · Offshoring destinations
$20,328
GDP per capita · 2025 · World Bank
AGI Growth Index
52.5
Post-AGI rate · from 2040 · Gradual
6.3%
vs trend +3.4pp · doubles every 11.3y
Growth in 2035 · Gradual
3.9%
vs trend +1pp
Trend, no AI
2.9%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.35
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
4.5%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$200k$400k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Bulgaria
Offshoring destinations

Firms moved factory and office work here for its labor cost: assembly lines, garments, call centers and IT services sold abroad. AI and robots can increasingly do that work.

Modeled advantage: Their scores let them adopt AI quickly, so they gain if they move from selling labor to using AI; the faster the takeoff, the shorter the window.
Main exposure: The export engine itself, which AI makes cheaper to automate or bring home. The index does not subtract that loss; garments erode more slowly than electronics and back-office work.
Compute & Energy Access1.6
Geopolitical Positioning3.5
AI Diffusion Capacity3.3
Language Inclusion3.3
Physical Build Speed2.8
Catch-up Headroom2.2
Demographics & Migration1.1
Cyber Resilience3.5
Climate & Environmental Resilience3.2

How this economy meets AI

Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.

Production baseDiversified
Workforce structureIndustrial workforce
Work organizationMostly formal
Current automationHigh current exposure

Where output comes from (% of GDP)

Agriculture 20252.5%
Industry 202521.2%
Services 202563.3%

Where people work (% of employment)

Agriculture 20254.7%
Industry 202527.9%
Services 202567.4%

Informal employment

Share of employment 20244.1%

Current automation exposure

Tasks exposed59.2%
Interpretation of these indicators

Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.

Current automation, not AGI. The Global Automation Atlas measures economically plausible automation in typical workplaces around 2026. It is a useful baseline for where automation can enter today, not a forecast of exposure to gradual or fast AGI. Explore current task exposure in the Global Automation Atlas →

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.

Country brief · simulations, not forecastsDownload the earlier brief (PDF)
This brief is being updated. It was drafted before the atlas’s latest model update, so some of its growth rates, ranks and dates differ from the figures above. Where they differ, the figures above are current.

Where Bulgaria starts

Bulgaria enters the AGI era as a "stalled middle" economy: neither frontier nor fragile, with middling scores and slow growth. Its distinguishing weakness is demographics, scored 1.1 out of 5, among the lowest anywhere. The population is shrinking and aging faster than almost any country on earth. Compute and energy access is also thin at 1.6. What Bulgaria holds is institutional ballast. As an EU and NATO member it scores 3.5 on geopolitical positioning and 3.5 on cyber resilience; its AI diffusion capacity (3.3) and language inclusion (3.3) reflect a real IT and outsourcing sector around Sofia. At about $20,300 per person, it is upper-middle-income by world standards, yet the EU's poorest member. Ten-year trend growth is 2.9% a year. The reactors at Kozloduy give it cheap, low-carbon power to build on.

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. Bulgaria would grow 3% growth a year, 74th of 157, barely above trend, its gains imported and late as this archetype tends to see. Under Gradual takeoff, growth would climb over two decades and reach 7.3% growth a year once AGI matures around 2045. Yet its rank would slip to 94th, because faster-moving economies pull ahead in a gradual world. At 7.3% the economy doubles in under ten years. Under Fast takeoff, growth would reach 10.9% growth a year from the early 2030s, a doubling roughly every seven years. Bulgaria would recover to 70th, 24 places above its gradual rank, as its EU alliance position and skills count for more. Regulation and politics could slow or redirect any of these paths. How Bulgarians 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 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 a gradual one; a fade back to trend a modest one. Bulgaria's own signals would arrive first: data center commitments drawing on Kozloduy power, EU cohesion and digital funds moving to build, new grid connections approved, and the order books of Sofia's IT and outsourcing firms.

If growth goes explosive

Explosive is relative, and for Bulgaria the honest word is modest. Even under Fast takeoff, 10.9% growth a year would trail the European median of 16.4% and sit far below a frontier compounding at 39.2%. Against its own history, though, it would be transformative. The economy would double roughly every seven years, so a child starting school now would finish it in a country twice as rich. Higher wages at home would raise labor demand and could slow the emigration that has hollowed out the workforce, perhaps drawing some of the diaspora back. There is a way this leaves Bulgaria worse off. Its compute would be rented, not owned, and financed from abroad; capacity controlled elsewhere can be throttled or repriced by decisions Sofia does not make. The demographic drain compounds the risk, leaving too few skilled builders to absorb the investment. The hedge is to own capacity and keep talent at home. Even then, the pace-setter shifts to the state, testing whether Bulgaria's permitting offices, energy regulator and courts can approve, adjudicate and count fast enough.

What Bulgaria can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first no-regret lever is demographics, Bulgaria's deepest weakness at 1.1. Raising the participation of women and older workers, and investing in skills so people complement AI rather than compete with it, strengthens the economy under every scenario. The second no-regret lever is physical build speed, at 2.5. Statutory time limits on permits, one-stop approvals and pre-zoned industrial land pay off in any world, and they are the inputs a data center or grid build would need. The third lever is the bet: compute and energy access, at 1.6, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Bulgaria's single biggest lever. Closing it means offering power and land packages, drawing on Kozloduy, to anchor hyperscale investment. Bulgaria can adapt a working idea from a peer: Lithuania's Startup Visa has pulled founders and skilled workers into a small EU economy. 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 Bulgaria's path under each scenario.

Use the policy editor to test how different factor scores change Bulgaria’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.

For government planning · compatible with any AI model

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 Bulgaria: 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

No score targets included. Set them in the policy editor.

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.