Bangladesh
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
Firms moved factory and office work here for its labor cost: assembly lines, garments, call centers and IT services sold abroad. AI and robots can increasingly do that work.
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 Bangladesh starts
Bangladesh enters the AGI era as one of South Asia's conditional demographic giants — economies whose scale and youth are the asset, if power, connectivity and capital arrive in time. The scores explain the label. Physical build speed is 4.9 out of 5, near the top of any country: Padma Bridge, the Dhaka metro, the Rooppur nuclear plant and the Matarbari deep-sea port show a state that can move earth fast. A young workforce gives it 3.8 on demographics and 3.8 on catch-up headroom. But the complements are thin. Compute and energy access scores just 1.2, and language inclusion 1.6, because little of the frontier runs in Bengali. At about $2,597 per person, this is a lower-middle-income economy. Ten-year trend growth of 6.3% a year is among the world's fastest, built on garments and remittances.
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. Bangladesh's own momentum carries it: 6.5% growth a year, 6th of 157, because few economies match its trend when AI adds little. Garment plants, remittances and young workers keep doing the work. Under Gradual takeoff, growth would climb through a two-decade ramp and reach 10.3% a year once AGI matures around 2045, ranking 52nd. That economy doubles in about seven years. Under Fast takeoff, growth would reach 12% a year from the early 2030s, a doubling every six years. Yet Bangladesh's rank would slip to 63rd. A fast world rewards the compute and frontier access it does not hold, so others pull ahead even as Bangladesh grows faster than its own history. Regulation and politics could slow or redirect any path. How Bangladeshis and their leaders 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 check them live rather than trust any snapshot. 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 point to a fast world; a point or two above trend by the mid-2030s to a gradual one; a fade back to trend to a modest one. Bangladesh's own tells would come earlier than GDP: the order books of the garment factories, hyperscaler or hosting commitments on Bangladeshi soil, Rooppur's reactors feeding the grid, and adoption rates for the a2i digital government services.
If growth goes explosive
Explosive is relative. At 10 to 12% growth a year, Bangladesh would run well ahead of its own 6.3% history and above its region's median. But it would still trail the frontier, where the United States could be compounding around three times as fast. This is catch-up, not leadership. An economy doubling every six to seven years would see a child born today reach adulthood in a country several times richer. Garments would share the stage with digital services and domestic industry. Bangladesh sends millions of workers to the Gulf; stronger demand and higher wages at home would ease the pressure to emigrate for work. There is a way this leaves Bangladesh worse off. Its frontier compute is rented, not owned, and its chip access depends on rules written in Washington and Beijing. A rule-taker can be throttled or repriced by others' decisions. The hedge is to diversify suppliers and own more capacity over time. Even then, the pace-setter shifts to the state, testing how fast BEZA, the power board and the courts can permit, connect and adjudicate.
What Bangladesh can do now
Three levers follow from the weakest high-weight scores, and the order matters. Start with the no-regret move: AI diffusion, at 2.6. Digital skills, permissive deployment and digital government carry real weight even in the skeptic's world, so they pay off whether or not AGI arrives. Bangladesh can build on its existing a2i program and national digital ID. The second lever is geopolitical positioning, at 2. Aligning with chip-supplying partners and keeping open access to capital markets is a low-cost hedge that helps under every scenario. The third lever is the bet: compute and energy access, at 1.2, barely moves growth if AI stays ordinary, but under fast takeoff it becomes Bangladesh's single biggest lever. Closing it means fast-tracking generation and grid links and packaging power and land for data centers. A lower-middle-income economy cannot fund this alone, so it needs partners. India offers a model with its IndiaAI Mission, which subsidizes shared GPU compute for firms and researchers. A cautious government can act on the first two today and lose nothing. Open the atlas's policy editor to see how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change Bangladesh’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 Bangladesh: 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.