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

Turkey

MENA · Fast-build capital hubs
$18,599
GDP per capita · 2025 · World Bank
AGI Growth Index
64.9
Post-AGI rate · from 2040 · Gradual
10.7%
vs trend +6pp · doubles every 6.8y
Growth in 2035 · Gradual
6.5%
vs trend +1.8pp
Trend, no AI
4.7%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.68
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
7.5%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$100k$200k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Turkey
Fast-build capital hubs

Capital is converted quickly into power, data centers and other physical AI capacity.

Modeled advantage: The advantage appears later under Gradual and immediately under Fast.
Main exposure: Heat, water and reliance on imported talent. Purchased compute access can be revoked more easily than owned capability.
Compute & Energy Access1.7
Geopolitical Positioning3.5
AI Diffusion Capacity4.3
Language Inclusion2.6
Physical Build Speed4.8
Catch-up Headroom1.9
Demographics & Migration3.9
Cyber Resilience4.1
Climate & Environmental Resilience2.4

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 automationMedium current exposure

Where output comes from (% of GDP)

Agriculture 20255.2%
Industry 202524%
Services 202559.4%

Where people work (% of employment)

Agriculture 202514.2%
Industry 202527.3%
Services 202558.5%

Informal employment

Share of employment 202526.6%

Current automation exposure

Tasks exposed52.8%
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 Turkey starts

Turkey enters the AGI era as one of the fast-build capital hubs, the places that turn capital into physical AI capacity — power, data centers, industrial land — at speed. Its scores explain the label. Physical build speed is 4.8 out of 5, near the top of any country: Istanbul Airport, the Akkuyu nuclear plant now under construction, a vast contracting sector, and homegrown industry from TOGG electric cars to Baykar drones. AI diffusion capacity is 4.1 and cyber resilience 4.1, both strong. Manufacturing is roughly 73% of exports. What is missing sits underneath. Compute and energy access scores 1.7, because Turkey has little data center capacity today. Catch-up headroom is 1.8. At about $18,600 GDP per person, Turkey is upper-middle-income, with ten-year trend growth of 4.9% a year. Every scenario turns on whether the chips and capital arrive to match the build.

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. Turkey would gain a modest lift to 5.2% growth a year, 21st of 157 — its best rank of the three. Its build strength and diffusion would carry it. Under Gradual takeoff, growth would climb across two decades and reach 13.1% a year once AGI matures around 2045, ranking Turkey 26th. An economy growing at 13.1% doubles in under six years. The long ramp gives Turkish builders time to convert land, power and construction skill into hosted computing. Under Fast takeoff, growth would reach 19.1% a year from the early 2030s, a doubling every four years. Yet Turkey's rank would slip to 31st, down five places, because a fast world rewards the compute and chip access Turkey does not yet hold. The paradox is real: faster global growth, lower relative standing. Politics could slow or redirect any path. How Turks 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. Through the late 2020s, all three add only fractions of a point to growth. So watch leading indicators, not GDP, and check 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 point to a fast world; a point or two above trend by the mid-2030s to a gradual one; a fade back to trend to a modest one. Turkey's own tells would come earlier than GDP: hyperscaler hosting commitments on Turkish soil, financial close on nuclear and grid projects, and the order books of its automotive and defense plants.

If growth goes explosive

Explosive is relative. At 13.1% growth a year, Turkey would still trail the frontier, where the United States would compound at 19.5%. Under Fast takeoff the gap widens: 19.1% here against 39.2% at the frontier. But Turkey would run ahead of its region, whose median reaches 11.2% in a gradual world. The economy would double roughly every six years, so a child starting school today would finish it in a country several times richer. Manufacturing could tilt toward higher-value goods, and hosted computing could become a new export line. Rising wages at home would ease the pressure that has long sent Turks abroad for work. There is a way this leaves Turkey worse off. Its compute is rented, not owned: data centers financed and controlled from abroad can be throttled or repriced elsewhere, and Turkey sits awkwardly between competing chip regimes. The hedge is to move from renting capacity to owning it. Even then, the pace-setter would shift to the state, testing how fast Turkish ministries, the energy regulator and the courts can permit, adjudicate and hold the currency steady.

What Turkey can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is catch-up headroom, low at 1.8. Stronger institutions, dependable rule of law and secure property rights raise growth in the skeptic's world too, so this is a no-regret move. It also builds the absorptive capacity — schools, finance, stable money — that any AI build would need. The second no-regret lever is climate and water resilience, at 2.4. Flood, heat and water defense protects the economy under every scenario, and cooling and water are the very inputs a data center build would demand. The third lever is the bet. Compute and energy access, at 1.7, barely moves growth if AI stays ordinary, but under fast takeoff it becomes Turkey's single biggest lever, carrying the most weight of any factor. Closing it means packaging power, land and fast permits, and securing chip access. Turkey should also protect its build-speed strength of 4.8. Malaysia offers a working model: it turned the Johor corridor into one of the world's fastest-growing data center clusters by pre-zoning land and power for hyperscalers. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to test how moving these scores reshapes Turkey's path under each scenario.

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