Papua New Guinea
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
These economies supply copper, fuels, bauxite, iron ore, uranium and other inputs required for the build-out.
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 and exports are resource-led. Direct workplace exposure may be limited, while global demand, commodity prices, extraction productivity and ownership of the resulting capital still transmit AI’s effects.
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 Papua New Guinea starts
Papua New Guinea enters the AGI era in the high-risk, volatile group: countries cut off from the AI supply chain, or whose state capacity is too thin to turn AI into growth. The scores show the cut-off. Compute and energy access scores 1 out of 5, and AI diffusion capacity also 1, both at the floor. Connectivity is thin, and government reaches only part of the country. What PNG does hold is natural endowment. Climate and environmental resilience scores 4.3, catch-up headroom 4.1, and a young population gives demographics 3.6. Its economy runs on extraction: the PNG LNG project led by ExxonMobil, and gold at Lihir and Porgera. At about $3,000 per person it is lower-middle-income, with ten-year trend growth of 2.9% a year. More than 800 languages complicate any single digital rollout.
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. PNG would edge up to 3% growth a year, 76th of 157, close to its trend and its region's. Under Gradual takeoff, growth would build across two decades and reach 5.8% a year once AGI matures around 2045, ranking 117th. At that pace the economy doubles in about twelve years. Under Fast takeoff, growth would reach 6% a year from the early 2030s, again a doubling roughly every twelve years, and PNG would rank 108th. Note the pattern: PNG grows faster in absolute terms under AGI, yet its world rank falls, because readier economies race further ahead. Its own gains would come from mobile diffusion, remittances and commodity demand, not from hosting AI. Regulation and politics could slow or redirect any path. How Papua New Guineans 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, 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 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. PNG's own signals would arrive earlier than GDP: bandwidth take-up on the Coral Sea Cable, mobile broadband coverage beyond the towns, a final investment decision on Papua LNG, and the flow of workers into Australia's and New Zealand's seasonal schemes.
If growth goes explosive
Explosive is relative, and for PNG it is modest by world standards. At 5.8% to 6% growth a year, the country would sit right at its region's median while the frontier compounds at 19.5% to 39.2%. That is catch-up against PNG's own past, faster than the 2.9% trend, but relative decline against the leaders. The economy would double in about twelve years, so a child born today would enter a workforce in an economy twice its current size. LNG and gold would still dominate exports; the gains would spread through mobile services, logistics and construction rather than new industries. Faster growth would raise labor demand and wages at home, easing some pressure to leave for work abroad. The honest downside is dependence. PNG would rent whatever compute it uses and rely on cables and satellites owned elsewhere, which can be repriced or cut. Skilled workers could drain toward Australia. The hedge is to secure connectivity on stable terms and train people faster than they leave. Even modest growth would test the state: provincial administrations, customary land tenure and the courts would decide how much investment actually lands.
What Papua New Guinea can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is AI diffusion, stuck at 1. Digital skills, permissive rules for deployment and digitized government services raise growth even in the skeptic's world, so this is a no-regret move a cautious government can start today. The second is geopolitical positioning, at 2: staying aligned with trusted partners, protecting access to capital markets and avoiding sanctions exposure. That too pays off under every scenario and costs little now. 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 carries the most weight of any factor. Closing it means offering power and land packages and fast permits to attract investment, hard at $3,000 per person, so it needs partners. PNG can adapt a move from a fellow high-risk peer: the Democratic Republic of Congo is building a special economic zone with Zambia to process battery minerals at home rather than ship raw ore. To see how moving these scores changes PNG's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Papua New Guinea’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 Papua New Guinea: 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.