Nepal
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
They earn from what cannot be sent down a wire: visitors who come, and workers abroad who send money home.
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
Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.
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 Nepal starts
Nepal enters the AGI era as a "stalled middle" economy: middling scores across the board, slow growth, and gains that tend to arrive imported and late. Two strengths stand out. Catch-up headroom is 4.1 out of 5, because a $1,536-per-person economy has far to climb. Demographics score 3.9, a young workforce. Physical build speed is 3.8, built on decades of Himalayan hydropower construction. The constraints are steep. Compute and energy access scores 1.1, near the world's floor. Language inclusion is 1.3, and geopolitical positioning just 2, for a landlocked country dependent on India for trade routes. Remittances from workers abroad still carry the economy. Ten-year trend growth is 4.1% a year. Nepal absorbs the new technology only at the margin.
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. Nepal would edge up to 4.3% growth a year, 40th of 157, an economy that doubles in about sixteen years. That result rests on catch-up room, not on AI. Under Gradual takeoff, growth would rise across two decades and reach 9.1% a year once AGI matures around 2045. Nepal would rank 68th, and the economy would double in eight years. Under Fast takeoff, growth would reach 9.4% a year from the early 2030s, a doubling in under eight years. Yet Nepal's rank would slip to 77th, down nine places, because a fast world rewards the compute and frontier access Nepal lacks. Higher speed, lower standing. Regulation and politics could slow or redirect any of these paths. How Nepalis 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. So watch leading indicators, not GDP, and check 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. Nepal's own signals would arrive earlier than the growth data: new power export agreements with India, financial close on large hydropower projects, remittance flows from the Gulf and Malaysia, and the order books of its carpet and garment exporters.
If growth goes explosive
Explosive is relative. At 9.1 to 9.4% growth a year, Nepal would run well ahead of its own 4.1% history and roughly match its region's pace. But it would fall further behind the frontier, where the United States and its peers would compound at 19.5% under gradual takeoff and 39.2% under fast. This is catch-up by Nepal's own standard, not explosive by the world's. The economy would double in about eight years, so a child born now would reach her teens in a country twice as rich. Rising wages at home would ease the pressure to leave for work in the Gulf. Here is the honest risk. Nepal's exposure is brain drain and rented compute. If its young and skilled keep leaving, and the computing power it uses is owned and priced abroad, the gains would arrive imported and late, as the archetype warns. The hedge is to keep talent at home and to own hydropower-fed compute rather than rent it. Even then, the pace-setter shifts to the state, testing whether federal and provincial governments, the Nepal Electricity Authority and the courts can permit, connect and rule fast enough.
What Nepal can do now
Three levers follow from the scores, and the order matters. Start with AI diffusion, low at 2.3. Digital skills, permissive deployment and digital government carry real weight even if AI stays ordinary, so this is a no-regret move a cautious government can make today at no loss. The second no-regret lever is geopolitical positioning, at 2. Keeping open access to capital markets and to trusted-partner technology, while balancing India and China, pays off in every scenario. The third lever is the bet. Compute and energy access, at 1.1, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Nepal's single biggest lever, with by far the most weight. Nepal holds an unusual asset here: surplus Himalayan hydropower. Packaging that power, land and fast permits could anchor data center investment. A $1,536-per-person economy cannot fund the build alone, so it needs co-investment from partners and development banks. Thailand shows the model: it drew billion-dollar data center commitments from Google and others by pairing power and land with clear rules. Open the atlas's policy editor to test how raising these three scores would reshape Nepal's path under each scenario.
Use the policy editor to test how different factor scores change Nepal’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 Nepal: 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.