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

Georgia

Eurasia · Tourism and diaspora economies
$9,692
GDP per capita · 2025 · World Bank
AGI Growth Index
47.9
Post-AGI rate · from 2040 · Gradual
6.8%
vs trend +0.8pp · doubles every 10.5y
Growth in 2035 · Gradual
6.2%
vs trend +0.2pp
Trend, no AI
6%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.07
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
6.4%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$50k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Georgia
Tourism and diaspora economies

They earn from what cannot be sent down a wire: visitors who come, and workers abroad who send money home.

Modeled advantage: Wealth from AI in rich and aging countries raises demand for both, so they can do better than their scores suggest, most of all under Fast.
Main exposure: Openness they do not control: visas, flights and the politics of migration. Also climate, and booking platforms that take a larger share of each trip.
Compute & Energy Access1.1
Geopolitical Positioning2.0
AI Diffusion Capacity2.8
Language Inclusion2.1
Physical Build Speed2.3
Catch-up Headroom2.8
Demographics & Migration1.4
Cyber Resilience3.4
Climate & Environmental Resilience4.5

How this economy meets AI

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

Production baseDiversified
Workforce structureMixed workforce
Work organizationMixed formality
Current automationUnavailable

Where output comes from (% of GDP)

Agriculture 20255.2%
Industry 202518.6%
Services 202563.9%

Where people work (% of employment)

Agriculture 202534%
Industry 202516.6%
Services 202549.5%

Informal employment

Share of employment 202451.5%

Current automation exposure

Tasks exposedComparable data are not available for this measure.
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.

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.

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 Georgia starts

Georgia is a reform climber: a small economy growing steadily from a low base while its institutions improve. The scores show both the momentum and the ceiling. Climate and environmental resilience is 4.5 out of 5, cyber resilience 3.4, and catch-up headroom 3 — room to grow by adopting what richer countries already use. Georgia earned its reformer name through business-registration reforms, the Public Service Hall, and a decade of anti-corruption work; it won EU candidate status in 2023. Its binding constraints are structural. Compute and energy access scores 1.1, with almost no data center capacity. Demographics and migration is 1.4: the population of 3.9 million is aging and long shaped by emigration. Geopolitical positioning is 2, the price of sitting between Russia and the West. Ten-year trend growth is 5.6% a year, at about $9,692 per person.

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. Georgia would hold its momentum at 5.7% growth a year and rank 13th of 157 — high, because in a skeptic's world few countries accelerate and Georgia's underlying trend is already strong. At that pace the economy doubles in about twelve and a half years. Under Gradual takeoff, growth would climb over two decades and reach 8% a year around 2045. Yet Georgia's rank would fall to 84th, because the AGI-ready economies pull far ahead while Georgia gains only modestly. An economy growing at 8% doubles in nine years. Under Fast takeoff, growth would also reach 8% a year, arriving from the early 2030s, and rank 86th. The same nine-year doubling applies. The lesson is stark: Georgia rises in absolute terms but slips in the standings, because it lacks the compute and alignment a fast world rewards. Politics could slow or redirect any path. How Georgians and their government respond to transformative AI is a variable the model holds constant.

How you would know which world you are in

The three scenarios look almost identical until about 2030, so watch leading indicators, not GDP, and check them live rather than trust any snapshot. 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 point to a fast world. A point or two above trend by the mid-2030s would point to a gradual one. A fade back to trend would point to a modest one. Georgia's own signals would arrive earlier than the GDP data: Middle Corridor freight volumes across the Caspian, EU accession milestones and the reforms they require, any hyperscaler or hosting commitment on Georgian soil, and adoption rates for its digital public services.

If growth goes explosive

Explosive is relative, and for Georgia the honest word is modest. At 8% growth a year, Georgia would run above its own 5.6% trend, but only a little, and just below the regional median of 8.7% under a gradual takeoff. The frontier, by contrast, would compound at 19.5% and, in a fast world, 39.2%. Georgia would grow richer yet fall behind the leaders. At 8% the economy doubles every nine years: a child starting school now would finish university in a country twice as large. Rising wages could ease the pressure to emigrate and draw some of the diaspora home, though that would follow growth, not cause it. The real danger is dependence. Georgia rents compute it does not own and cannot make; whoever supplies its models would shape its economic alignment. Squeezed between Russia and the West, it risks becoming a rule-taker inside another power's chip regime, exposed to sanctions and abrupt repricing. The hedge is to secure trusted-partner access early and build some capacity at home. Even then, the pace-setter would shift to the state, testing how fast Georgia's permitting offices, energy regulator and courts can approve and adjudicate.

What Georgia can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with the no-regret moves. AI diffusion capacity, at 2.8, carries real weight even in the skeptic's world. Georgia already leads its region on digital government, so the task is to protect that strength and extend it: broaden digital skills, keep deployment rules permissive, and put more public services online. The second no-regret lever is geopolitical positioning, at 2. Deepening EU alignment, staying clear of sanctions and holding access to capital markets matter today, and they would decide which chips Georgia can buy tomorrow. A cautious government can act on both now and lose nothing if the skeptics are right. 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 Georgia's largest lever, near a fifth of the weight. Closing it means packaging hydropower, land and fast permits to draw data center investment. Senegal shows one path: it built a national data center at Diamniadio to bring government data home rather than rent it abroad. To see how moving these scores changes Georgia's path under each scenario, open the atlas's policy editor.

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