United Arab Emirates
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
Production and exports are resource-led. Direct workplace exposure may be limited, while global demand, commodity prices, extraction productivity and ownership of the resulting capital still transmit AI’s effects.
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 the United Arab Emirates starts
The United Arab Emirates enters the AGI era as one of the fast-build capital hubs, the places that turn capital into physical AI capacity — power, data centers, new cities — at speed. Among them it sits near the front. Demographics and migration score 5, the top mark, and AI diffusion 4.9: Microsoft's 2026 data put working-age AI adoption near 70%, the world's highest. Physical build speed is 4.4 and cyber resilience 4.4. Barakah nuclear supplies clean power; G42 and Mohammed bin Zayed University of Artificial Intelligence anchor the AI stack. Two constraints stand out. Climate resilience scores 1, the lowest of its factors, with heat and water scarce. Catch-up headroom is 1.3, because at about $50,300 per person this is already a high-income economy with little ground to make up cheaply. Ten-year trend growth of 2.6% a year understates the ambition.
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. The UAE would add little to trend: 3% growth a year, 73rd of 157, an economy doubling only every 23 years or so. Its build-out would mainly serve regional demand. Under Gradual takeoff, growth would climb for two decades and reach 14.7% a year once AGI matures around 2045. That would rank the country 15th in the world. The long runway lets its capital, power and permitting turn secured chip access into hosted computing at scale. At 14.7% the economy doubles in about five years. Under Fast takeoff, growth would reach 25% a year from the early 2030s, a doubling roughly every three years — and the UAE would still hold 15th, its rank unchanged, because its compute agreements and build speed keep counting in a compute-hungry world. Regulation and politics could slow or redirect any of these paths. How Emiratis, residents and the state 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 to trend, a modest one. The UAE's own signals would come earlier: US approvals for advanced-chip shipments, financial close and power-up of the Abu Dhabi hyperscale campus, and G42's order book.
If growth goes explosive
Explosive is relative. At 25% growth a year under a fast takeoff, the UAE would still trail the frontier, where the United States compounds toward 39%. But it would run well ahead of its region, whose median reaches about 16%. The economy would double roughly every three years, so a child born now would start school in a country several times richer. Fuel is about 68% of exports today; compute and digital services could become a second pillar. Faster growth would raise demand for skilled workers and their wages, drawing in more of the imported talent the economy already runs on. There is a way this leaves the UAE worse off. Its compute rests on chip agreements with Washington, revocable at each turn of American politics. Bought capacity is a tenancy, not an asset; the hedge is to convert rented compute into owned capability in domestic chips, models and skills. Even then, the pace-setter would shift to the state, testing federal and emirate regulators, the ADGM and DIFC courts, the grid operators and the talent-visa system.
What the United Arab Emirates can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is climate and water resilience, at 1, the weakest score. Cooling and water defense protect the economy under every scenario, and they are the very inputs a data center build would need in a country above 35°C for months each year. That makes it a no-regret move. The second is catch-up headroom, at 1.3: strengthening institutions, courts and openness to trade and technology raises the economy's ability to absorb new tools, and that pays off in the skeptic's world too. A cautious government can act on both today and lose nothing if the skeptics are right. The third lever is the bet. Compute and energy access, at 3.4, carries the most weight of any factor and climbs steeply toward the fast world. Closing it means fast-tracking generation — nuclear, gas and renewables with storage — and packaging power and land to anchor hyperscale investment. The UAE can adapt a model from its archetype: Malaysia turned the Johor corridor into one of the world's fastest-growing data center clusters by pre-zoning land and power for hyperscalers. Open the atlas's policy editor to see how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change United Arab Emirates’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 United Arab Emirates: 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.