Mexico
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
The AI supply chain’s regional gateways: each is the largest economy and data center market in its part of the world. Scale gives them leverage with AI firms, and AI reaches their neighbors through them.
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 is relatively manufacturing-intensive. Near-term effects depend on machinery, robotics, supply chains, energy and firms’ capacity to reorganize production, as well as on language models.
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 Mexico starts
Mexico enters the AGI era as a stalled middle: middling income, middling scores, and slow growth. Ten-year trend growth is only 1.4% a year. Two scores stand out as strengths. Demographics and migration score 4.5, a young workforce with deep ties across the US border. Physical build speed is 4.1, the muscle behind the nearshoring factories and industrial parks that USMCA anchors. But the constraints are just as clear. Compute and energy access score 2.5, geopolitical positioning 2, and climate resilience 1.8. At about $13,889 per person, Mexico is upper-middle-income. Like the rest of Latin America, it hosts hyperscaler cloud regions and a huge domestic market, yet its research base is thin: catch-up headroom scores 2.7. The economy is built to assemble, not yet to invent.
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. Mexico would gain a small lift: 1.7% growth a year, 123rd of 157. Nearshoring would keep adding factories, but slow trend growth would continue. Under Gradual takeoff, growth would climb for two decades and reach 10.4% a year once AGI matures around 2045. That would place Mexico 48th in the world. An economy growing at 10.4% doubles in about seven years. The long runway would give its industrial base time to absorb AI and move beyond assembly. Under Fast takeoff, growth would reach 16% a year from the early 2030s, a doubling every four to five years. Mexico's rank would rise slightly, to 46th, as its build speed and domestic market paid off sooner. Politics could slow or redirect any of these paths. How Mexicans 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 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 would signal a gradual one. A fade back to trend would signal a modest one. Mexico's own signals would arrive earlier than the growth data: new hyperscaler commitments in Querétaro and beyond, grid interconnection approvals for large loads, and the order books of its auto and electronics plants.
If growth goes explosive
Explosive is relative. At 10.4% growth a year, Mexico would still trail the frontier, because the United States would be compounding nearly twice as fast. But it would run ahead of the Latin American median and far ahead of its own history. At 16% under fast takeoff, the economy would double roughly every five years. A child starting school today would finish in a country several times richer. Production would shift from assembling goods toward designing and servicing them, and higher wages at home would ease the pressure to emigrate north for work. There is a way this leaves Mexico worse off. It would host computing power it rents rather than owns, inside a chip regime whose rules are written in Washington. Capacity financed and controlled abroad can be throttled or repriced elsewhere. The hedge is to own more of the compute and to negotiate technology access carve-outs. Even then, the pace-setter would move to the state, testing whether the CFE grid, energy permitting and the courts can power, approve and adjudicate fast enough.
What Mexico can do now
Three levers follow from the scores, and one pays off whether or not AGI arrives. Start with the no-regret move: AI diffusion capacity, at 3.3, already a relative strength. Digital skills, deployment-permissive rules and digitized government services carry real weight even in the skeptic's world. A cautious government can act on them today and lose nothing if the skeptics are right. The second lever is the bet. Compute and energy access, at 2.5, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Mexico's single biggest lever. Closing it means packaging power, land and fast permits, and fixing grid interconnection so hyperscalers can anchor here. The third lever is geopolitical positioning, low at 2: deepen alignment with chip-supplying partners, protect capital market access, and negotiate investment carve-outs. Mexico can adapt a model from its own archetype. Brazil approved a national AI plan in 2024 worth about 23 billion reais to fund compute, skills and research. To see how moving any of these scores changes Mexico's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Mexico’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 Mexico: 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.