Peru
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
These economies supply copper, fuels, bauxite, iron ore, uranium and other inputs required for the build-out.
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 Peru starts
Peru enters the AGI era as a resource supplier: copper, fuels and ores make up more than half its exports, ores alone 51%. This group sells the build-out its raw inputs. Peru's scores show why it stands out among them. Physical build speed is 4.1 out of 5, well above the resource-supplier norm, reflecting mines like Antamina and Quellaveco and the new Chancay megaport. Demographics score 4.6 and climate resilience 4. What holds it back is written in two low scores. Compute and energy access is 1.2, because Peru has almost no data center capacity. Geopolitical positioning is 2, outside the blocs that decide chip access. At about $9,700 per person, it is a middle-income economy. Ten-year trend growth of 2.4% a year is steady but modest.
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. Peru would gain a small lift: 2.7% growth a year, 85th of 157. Its economy would keep running on mining exports. Under Gradual takeoff, growth would climb for two decades and reach 11.1% a year once AGI matures around 2045. That would rank Peru 42nd in the world. An economy growing at 11.1% doubles in under seven years. The long runway would let copper revenue fund a real build-out at home. Under Fast takeoff, growth would reach 14.3% a year from the early 2030s, a doubling roughly every five years. Yet Peru's rank would slip eight places to 50th. A fast world rewards the compute and chip access Peru does not hold, so others pull ahead faster. Regulation and politics could slow or redirect any of these paths. How Peruvians and their leaders 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 mean a modest one. Peru's own tells would arrive earlier than GDP data: copper prices and mine investment plans, throughput at the Chancay port, and any hyperscaler commitment to build on Peruvian soil.
If growth goes explosive
Explosive is relative. Even at 14.3% growth a year, Peru would trail the frontier, where the United States would be compounding at nearly 39%. Its rates would still run far ahead of its own history and its region, whose median reaches about 9% under fast takeoff. The economy would double roughly every five years, so a child born today would reach adulthood in a country several times richer. Mining would still anchor exports, but higher wages at home would ease the pressure to emigrate for work. There is a way this leaves Peru worse off, and it is worth naming. A commodity boom is not a development strategy. Copper rents can evaporate unless they are converted into skills, power and industry that outlast the boom. Renting compute from abroad, rather than owning it, leaves Peru exposed to prices and rules set elsewhere. The hedge is to turn today's mineral windfall into lasting capacity. Even then, the pace-setter would move to the state, testing whether a government marked by presidential turnover, contested mining permits and stretched regional authorities can permit, adjudicate and count fast enough.
What Peru can do now
Three levers follow from the scores, and the order matters. Start with AI diffusion, at 2.9. Digital skills, deployment-friendly rules and digital government carry real weight even in the skeptic's world, so this is a no-regret move that pays off whether or not AGI arrives. A cautious government can act on it today and lose nothing. The second lever is geopolitical positioning, at 2. Deeper alignment with chip-supplying partners and steady access to capital markets protect Peru across scenarios and matter more if AI accelerates. The third lever is the bet. Compute and energy access, at 1.2, barely moves growth if AI stays ordinary, but under fast takeoff it becomes Peru's single biggest lever. Closing it means fast-tracking grid and generation and offering power and land packages to anchor data center investment. Peru can borrow from its neighbor Chile, which used its stable grid and institutions to attract a Google data center and now hosts real compute. To see how moving these scores changes Peru's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Peru’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 Peru: 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.