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

Nicaragua

Latin America · High-risk / volatile
$3,173
GDP per capita · 2025 · World Bank
AGI Growth Index
49.2
Post-AGI rate · from 2040 · Gradual
5.3%
vs trend +2.5pp · doubles every 13.4y
Growth in 2035 · Gradual
3.5%
vs trend +0.7pp
Trend, no AI
2.8%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.25
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
4%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$5k$10k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Nicaragua
High-risk / volatile

Military governments, very weak state capacity, or limited access to the AI supply chain keep these countries from converting AI into growth.

Modeled advantage: They receive the smallest gains under all three scenarios.
Main exposure: Sanctions, conflict, coups, weak institutions and limited compute access.
Compute & Energy Access1.0
Geopolitical Positioning2.0
AI Diffusion Capacity1.9
Language Inclusion4.2
Physical Build Speed2.1
Catch-up Headroom3.6
Demographics & Migration4.4
Cyber Resilience1.2
Climate & Environmental Resilience2.6

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 automationLow current exposure

Where output comes from (% of GDP)

Agriculture 202514.5%
Industry 202529.3%
Services 202545.2%

Where people work (% of employment)

Agriculture 202530.5%
Industry 202516.9%
Services 202552.6%

Informal employment

Share of employment 201281.8%

Current automation exposure

Tasks exposed34.6%
Interpretation of these indicators

Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.

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 Nicaragua starts

Nicaragua enters the AGI era in the high-risk and volatile group — countries cut off from the AI supply chain, or whose states are too weak or unstable to turn AI into growth. The scores show why. Compute and energy access is 1 out of 5, the lowest band, with almost no data center capacity. Cyber resilience is 1.2. Geopolitical positioning is 2, weighed down by US and EU sanctions on the Ortega government. Its strengths lie elsewhere. Demographics and migration score 4.4, a young population. Language inclusion is 3.9 and catch-up headroom 3.6. The economy runs on coffee, gold, beef and CAFTA-DR free-zone textiles, with geothermal and hydro power on the grid. At about $3,173 per person, this is a lower-middle-income country. Ten-year trend growth is 2.8% a year.

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. Nicaragua would gain a touch on trend: 2.9% growth a year, 81st of 157. At that pace the economy doubles in about 24 years. Under Gradual takeoff, growth would build for two decades and reach 5.8% a year once AGI matures around 2045. That would rank it 115th, with the economy doubling in roughly 12 years. The gains would arrive mostly imported, through cheaper software and services from abroad. Under Fast takeoff, growth would reach 5.5% a year from the early 2030s, a doubling in about 13 years. Notice that Fast sits slightly below Gradual and holds the same 115th rank. A fast world rewards the compute and frontier access Nicaragua does not have, so speed abroad does little for it. Politics could slow or redirect any of these paths. How Nicaraguans 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. 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. Nicaragua's own signals would arrive earlier than the growth data: the order books of the free-zone textile plants, any connectivity or hosting investment that survives the sanctions, and how fast digital public services reach citizens.

If growth goes explosive

Explosive is the wrong word here. At 5.5 to 5.8% growth a year, Nicaragua's path is modest by world standards. The frontier would compound near 39% a year in a fast world, and the regional median near 9%. Nicaragua would fall behind both. Measured against its own 2.8% trend, though, this is real catch-up. The economy would double in about 12 years, so a child born today could reach secondary school in a country twice as rich. Higher wages at home would ease the pressure to emigrate, which matters for a country that sends many workers to Costa Rica and the United States. Here is the honest downside. Nicaragua rents whatever compute it uses and owns none of it. A sanctioned, isolated economy could be cut off or priced out by decisions made elsewhere, so the gains arrive late and thin. The hedge is to secure access through partners and spread it across schools, clinics and firms. Even modest growth would test the state: centralized ministries, weakened courts and sanctioned banks would have to permit, adjudicate and finance faster than they do now.

What Nicaragua can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first no-regret lever is AI diffusion capacity, low at 1.9. Digital skills, permissive deployment rules and digital government carry weight even in the skeptic's world, so Nicaragua can act on them today at no loss. The second no-regret lever is physical build speed, at 1.7. Faster permitting, pre-zoned land and transmission built ahead of demand help under every scenario. The third lever is the bet: compute and energy access, the lowest score at 1. It barely moves growth if AI stays ordinary, but under fast takeoff it becomes Nicaragua's single biggest lever. Closing it means packaging geothermal and hydro power with land and permits, then finding partners willing to invest despite the sanctions. For the diffusion lever, Nicaragua could adapt Ukraine's Diia platform, a peer's digital-government app that moved public services onto phones. A cautious government can act on the two no-regret levers now and lose nothing if the skeptics are right. Open the atlas's policy editor to see how moving these scores would change Nicaragua's path under each scenario.

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