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

Oman

MENA · Fast-build capital hubs
$19,947
GDP per capita · 2025 · World Bank
AGI Growth Index
56.7
Post-AGI rate · from 2040 · Gradual
6.8%
vs trend +5pp · doubles every 10.5y
Growth in 2035 · Gradual
3.3%
vs trend +1.5pp
Trend, no AI
1.8%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.56
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
4.1%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$20k$40k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Oman
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 Access1.5
Geopolitical Positioning2.0
AI Diffusion Capacity3.8
Language Inclusion1.5
Physical Build Speed4.3
Catch-up Headroom2.3
Demographics & Migration5.0
Cyber Resilience3.0
Climate & Environmental Resilience1.0

How this economy meets AI

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

Production baseResource-led
Workforce structureIndustrial workforce
Work organizationUnavailable
Current automationHigh current exposure

Where output comes from (% of GDP)

Agriculture 20252.8%
Industry 202552.7%
Services 202547.2%

Where people work (% of employment)

Agriculture 20255.9%
Industry 202539.4%
Services 202554.6%

Informal employment

Share of employmentComparable data are not available for this measure.

Current automation exposure

Tasks exposed56.8%
Interpretation of these indicators

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.

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 Oman starts

Oman enters the AGI era as a fast-build capital hub in the Gulf, a place meant to turn oil money into physical AI capacity at speed. The scores show both the promise and the gap. Physical build speed is 4.4 out of 5: the Duqm special economic zone, the ports at Sohar and Salalah, and world-scale green hydrogen plans under the state developer Hydrom. Demographics and migration score 5, the top mark, thanks to a young population and an expatriate workforce Oman can size to demand. AI diffusion capacity is 3.8. What is missing is what the model rewards most. Compute and energy access scores 1.5, because Oman has almost no data center capacity today. Climate resilience scores 1, the lowest, with heat and water the hard limits. At about $19,947 GDP per person, Oman is well-off but oil-dependent. Ten-year trend growth is 2.1% a year.

The three paths

These are simulations, not forecasts. The Modest path is the baseline, and the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. Oman would gain little: 2.3% growth a year, 102nd of 157. Its build-out would mostly serve existing energy and logistics plans. Under Gradual takeoff, growth would climb for two decades and reach 8.7% a year once AGI matures around 2045. That would place Oman 75th in the world. An economy growing at 8.7% doubles in about eight years. The long ramp gives Oman time to convert land, ports and cheap power into hosted computing and green fuels. Under Fast takeoff, growth would reach 11.3% a year from the early 2030s, a doubling every six to seven years. Oman's rank would rise to 68th, seven places above its gradual standing, because a fast world rewards the raw power and build speed Oman can offer. Regulation and politics could slow or redirect any of these paths. How Omanis 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 the same until about 2030. In all of them, the late 2020s add only fractions of a point to growth. 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 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. Oman's own tells would arrive earlier: hyperscaler hosting commitments on Omani soil, signed offtake deals for Duqm green hydrogen, and chip access carve-outs in trusted-partner frameworks.

If growth goes explosive

Explosive is relative. At 8.7% growth a year under the gradual path, Oman would trail both the frontier, compounding near 19.5%, and its own Gulf neighbors, whose median is 11.2%. Even the fast rate of 11.3% would sit below the regional median of 16.1%. So this is catch-up against Oman's 2.1% history, not a breakout against the region. Still, an economy doubling every six to eight years transforms a working life: a child today would finish school in a country several times richer. Power exports and hosted computing could join oil as fiscal pillars, and stronger labor demand would lift wages for the workforce Oman already draws in. There is a way this leaves Oman worse off. Bought compute is revocable; chips reach the Gulf through government-to-government deals, not geography, and can be repriced or cut off by decisions in Washington. The hedge is to move from renting capacity to owning it, and to widen trusted-partner ties. Even then, the pace-setter shifts to the state, testing how fast OPAZ, the utilities regulator and the courts can permit, price and adjudicate.

What Oman 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, the lowest score at 1. Defending against heat and securing water and cooling protects the economy under every scenario, and cooling and water are the very inputs any data center build would need. That makes it a no-regret move. The second is geopolitical positioning, at 2. Keeping access to capital markets and avoiding sanctions exposure pays off regardless, another no-regret step. The third lever is the bet. Compute and energy access, at 1.5, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Oman's single biggest lever. Closing it means packaging power, land and fast permits at Duqm to anchor hyperscale investment, and securing chip access through alliances. Oman can adapt a working model from its neighbor: the UAE has secured government-to-government chip access agreements to connect its capital to frontier silicon. 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 each score reshapes Oman's paths.

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