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

Bolivia

Latin America · Resource suppliers
$5,148
GDP per capita · 2025 · World Bank
AGI Growth Index
54.1
Post-AGI rate · from 2040 · Gradual
5.7%
vs trend +4.3pp · doubles every 12.5y
Growth in 2035 · Gradual
2.7%
vs trend +1.3pp
Trend, no AI
1.4%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.47
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
3.4%
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
Bolivia
Resource suppliers

These economies supply copper, fuels, bauxite, iron ore, uranium and other inputs required for the build-out.

Modeled advantage: The physical build-out creates terms-of-trade gains, including under Fast.
Main exposure: Commodity income produces lasting development only if rents are converted into other productive assets.
Compute & Energy Access1.0
Geopolitical Positioning2.0
AI Diffusion Capacity2.4
Language Inclusion4.2
Physical Build Speed2.2
Catch-up Headroom3.4
Demographics & Migration4.7
Cyber Resilience1.8
Climate & Environmental Resilience3.7

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 20248.8%
Industry 202431.3%
Services 202453.4%

Where people work (% of employment)

Agriculture 202524.7%
Industry 202519.8%
Services 202555.5%

Informal employment

Share of employment 202483.9%

Current automation exposure

Tasks exposed36.4%
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 Bolivia starts

Bolivia enters the AGI era as a stalled middle: middling income, middling scores, slow growth. Its ten-year trend growth is 2% a year, and GDP per person is about $5,148 lower-middle-income. Two scores stand out. Demographics and migration score 4.7, near the top of the range, reflecting a young and growing population. Compute and energy access score 1, the floor. Bolivia has almost no data center capacity. Its economy still runs on raw materials: natural gas sold to Brazil and Argentina, and mined ores that make up nearly a third of exports. The Salar de Uyuni holds some of the world's largest lithium reserves, but industrializing them has stalled for years. What is missing is the capacity to turn a young workforce into digital output.

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. Bolivia would gain almost nothing on trend: 2.2% growth a year, 109th of 157. The raw-material economy would grind on much as today. Under Gradual takeoff, growth would climb over two decades and reach 7.6% a year once AGI matures around 2045. That would lift Bolivia to 85th in the world. An economy growing at 7.6% doubles in about nine and a half years. Under Fast takeoff, growth would reach the same 7.6% a year, but from the early 2030s, with the same doubling time. Yet Bolivia's rank would slip to 92nd, down seven places, because a fast world rewards the compute and frontier access Bolivia lacks. Faster global growth passes it by. Politics could slow or redirect any of these paths. How Bolivians 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. Bolivia's own signals would arrive earlier than the growth data: the terms of its lithium deals with Chinese and Russian partners, whether the plants at Uyuni actually ship, and any first commitment to host computing on Bolivian soil.

If growth goes explosive

For Bolivia, explosive is the wrong word. At 7.6% growth a year, it would run below its own region's median and far below the frontier, where the United States could be compounding at nearly 40% a year in a fast world. This is catch-up by Bolivia's own history, not a breakout, but still a real change from 2% trend. The economy would double in about nine and a half years, so a child born today would reach adulthood in a country twice as rich. Rising wages at home would ease the pressure on young Bolivians to emigrate for work. There is a way this leaves Bolivia worse off. Its lithium and gas are developed largely by foreign partners on foreign terms. In an AI boom, Bolivia could stay a supplier of raw inputs while others capture the value, and the computing it uses would be rented, not owned. The hedge is to bargain for a share of processing and technology, not only royalties. Even modest acceleration would test the state: the YLB lithium company, the permitting offices, the courts, and public finances already strained by fuel and dollar shortages.

What Bolivia can do now

Three levers follow from the scores, and two of them pay off whether or not AGI arrives. The first is AI diffusion capacity, at 2.4. Digital skills, permissive rules for deployment and digital government carry real weight even in the skeptic's world, so this is a no-regret move: digitize government services first and teach AI skills across the workforce. The second no-regret lever is physical build speed, at 2.3. Faster permitting, pre-zoned land and transmission built ahead of demand help the economy under every scenario. The third lever is the bet. Compute and energy access, at 1, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Bolivia's single biggest lever. Closing it means packaging power and land to attract data center investment, which is hard for a $5,148-per-person economy to fund alone. Bolivia can learn from its own archetype: Brazil has drawn hyperscaler cloud regions by offering scale and stable power. A cautious government can act on the two no-regret levers today and lose nothing if the skeptics are right. Open the atlas's policy editor to see how moving these scores reshapes Bolivia's path under each scenario.

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