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

Honduras

Latin America · Tourism and diaspora economies
$3,598
GDP per capita · 2025 · World Bank
AGI Growth Index
53.5
Post-AGI rate · from 2040 · Gradual
6.9%
vs trend +3.5pp · doubles every 10.4y
Growth in 2035 · Gradual
4.4%
vs trend +1pp
Trend, no AI
3.4%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.36
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
5%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$10k$20k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Honduras
Tourism and diaspora economies

They earn from what cannot be sent down a wire: visitors who come, and workers abroad who send money home.

Modeled advantage: Wealth from AI in rich and aging countries raises demand for both, so they can do better than their scores suggest, most of all under Fast.
Main exposure: Openness they do not control: visas, flights and the politics of migration. Also climate, and booking platforms that take a larger share of each trip.
Compute & Energy Access1.0
Geopolitical Positioning2.0
AI Diffusion Capacity1.8
Language Inclusion4.6
Physical Build Speed2.9
Catch-up Headroom4.1
Demographics & Migration4.5
Cyber Resilience1.4
Climate & Environmental Resilience3.0

How this economy meets AI

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

Production baseDiversified
Workforce structureMixed workforce
Work organizationHighly informal
Current automationMedium current exposure

Where output comes from (% of GDP)

Agriculture 202513.3%
Industry 202525.4%
Services 202557.6%

Where people work (% of employment)

Agriculture 202522.4%
Industry 202521.6%
Services 202555.9%

Informal employment

Share of employment 201782.6%

Current automation exposure

Tasks exposed40.6%
Interpretation of these indicators

The economy has a meaningful exposed segment, while much of the informal workforce may capture productivity gains more slowly. Disruption could therefore precede widespread benefits.

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 Honduras starts

Honduras enters the AGI era as a stalled middle economy: middling income, middling scores, and growth that never quite breaks away. Neither frontier nor fragile. Its strengths are human. Demographics and migration score 4.5, among the highest in the region, and catch-up headroom is 4, so there is plenty of ground it could still cover. Language inclusion is 3.9. The constraints are physical and digital. Compute and energy access scores 1, the floor. Cyber resilience is 1.4 and AI diffusion capacity 1.8. The real economy runs on apparel maquilas around San Pedro Sula, Puerto Cortés (Central America's largest port), coffee, and remittances from workers in the United States. At about $3,598 per person, this is a lower-middle-income country. Ten-year trend growth of 3.4% a year has not closed the gap.

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. Honduras would hold near trend at 3.5% growth a year, 57th of 157, its best world rank of the three. Under Gradual takeoff, growth would build for two decades and reach 7.5% a year once AGI matures around 2045. An economy at that rate doubles in under ten years. Yet its rank would fall to 90th, because faster countries pull away even as Honduras improves. Under Fast takeoff, growth would reach 7.4% a year from the early 2030s, again a doubling in roughly a decade, and the rank would slip further to 94th. The paradox is real: Honduras grows faster under AGI but ranks lower, because a fast world rewards the compute and frontier access it does not hold. Its gains would arrive imported and late. Politics could slow or redirect any of these paths. How Hondurans 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. The late 2020s add only fractions of a point to growth in all three. 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. Honduras's own signals would arrive earlier than the GDP data: the order books of the San Pedro Sula maquilas, nearshoring investment decisions, and remittance flows from a US labor market being reshaped by automation.

If growth goes explosive

For Honduras, explosive is relative, and modest by world standards. At 7.5% growth a year it would run at double its own history, but below the regional median and far behind a frontier compounding at 19.5% or more. This is catch-up by Honduras's own record, and relative decline against everyone moving faster. Still, an economy doubling every decade changes lives: a child starting school now would finish it in a country roughly twice as rich. Rising labor demand and wages at home would ease the long pressure to emigrate. Here is the honest downside. Honduras would host little compute of its own. The intelligence driving growth would be rented from abroad and priced by others, who could throttle or reprice it, and its most skilled workers could be pulled toward faster economies. The hedge is to keep talent at home and buy capacity on terms it can defend. Even then, the pace-setter shifts to the state, testing ENEE's indebted power grid, the permitting offices, the courts and the tax authority.

What Honduras can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion capacity, low at 1.8. Digital skills, permissive deployment rules and digitized government services raise productivity in the skeptic's world too, so this is a no-regret move a cautious government can start today. The second is physical build speed, at 2.5. Statutory time limits on permits, one-stop approvals and land zoned in advance help under every scenario, and they are the groundwork any data center project would need. This too is largely no-regret. The third lever is the bet. Compute and energy access, at the floor of 1, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes the single biggest factor. Closing it means fixing generation and the grid, then packaging power and land to attract investment. Honduras can adapt a model from its own archetype: Mexico turned nearshoring demand into hyperscaler data center regions around Querétaro by pairing reliable power with pre-zoned land. Open the atlas's policy editor to see how moving these scores reshapes Honduras's path under each scenario.

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