Uruguay
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Their exports are food, gold, diamonds, logistics or a small share of output, which AI neither threatens nor much boosts, so AI reaches them mainly through their own firms and governments.
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
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.
Where Uruguay starts
Uruguay enters the AGI era in the stalled middle: high-income by the region's standards, middling on the scores that shape an AI economy, and slow-growing. At about $25,200 per person, it is one of Latin America's richest and most stable democracies. Its strengths are soft and real. Language inclusion is 4.3 out of 5, because Spanish is well served by today's models. AI diffusion capacity is 3.7 and cyber resilience 3.7, built on a digital state that includes Plan Ceibal and the Agesic e-government agency. Its grid runs almost entirely on wind and hydro. The constraints are physical and strategic. Compute and energy access scores just 1: Uruguay has abundant clean power but almost no data center capacity. Geopolitical positioning is 2, build speed 2.2, and demographics 1.8 for an aging, emigrating population. Ten-year trend growth is 1.2% 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. Uruguay would barely move: 1.4% growth a year, 134th of 157. Its gains would arrive imported and late, as the archetype implies. Under Gradual takeoff, growth would build over two decades and reach 6.5% a year once AGI matures around 2045, lifting Uruguay to 101st. An economy at that pace doubles in about eleven years. The long ramp gives its digital state and Spanish-language services time to absorb the technology. Under Fast takeoff, growth would reach 7.9% a year from the early 2030s, a doubling roughly every nine years, and Uruguay would climb to 87th — a rise of fourteen places. Even so, both AGI rates would trail the region's median. Regulation and politics could slow or redirect any of these paths. How Uruguayans 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 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. Uruguay's own signals would arrive earlier than the growth figures: financial close and a settled water plan for Google's Canelones data center, fresh hyperscaler or cloud region commitments, and the order books of its software and shared-services exporters in zones like Zonamerica.
If growth goes explosive
For Uruguay, explosive is the wrong word. Even under Fast takeoff, 7.9% growth a year would trail the region's median and fall far behind a frontier compounding near 39%. By its own history it would be transformative, since trend growth is 1.2%, but against faster neighbors the gap would widen. That drift is the stalled middle's central risk. An economy doubling every nine years would still change lives: a child starting school would finish it in a country twice as rich. Services and clean-power-backed computing could join beef and software as export pillars. Uruguay ages and loses young workers, so faster growth and higher wages at home would ease the pressure to emigrate, not reverse it. The honest downside is drift compounded by brain drain. If compute is rented from abroad and skilled Uruguayans leave for faster economies, gains stay thin and imported. The hedge is to own capacity and retain talent. Either way, the pace-setter shifts to the state: UTE's grid connections, water permits and environmental courts would set the speed.
What Uruguay can do now
Three levers follow from the weakest high-weight scores, and two pay off whether or not AGI arrives. The first no-regret move is physical build speed, at 2.2. Statutory permitting deadlines, one-stop approvals and transmission built ahead of demand help the economy under every scenario, and they are the groundwork any data center build would need. The second no-regret move is geopolitical positioning, at 2. Uruguay is stable and investment-grade; deepening ties with chip-supplying partners and protecting capital market access matters even in the skeptic's world. Protect the digital-state and language strengths too, rather than let them erode. The third lever is the bet: compute and energy access, at 1. It barely moves growth if AI stays ordinary, but under fast takeoff it becomes Uruguay's largest lever. The country has the clean power; it lacks the chips and the centers. Brazil shows one path, building hyperscaler cloud regions and backing them with a national AI plan. A cautious government can act on the two no-regret levers today at no loss. Open the atlas's policy editor to see how shifting these scores moves Uruguay's path under each scenario.
Use the policy editor to test how different factor scores change Uruguay’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 Uruguay: 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.