Australia
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.
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 Australia starts
Australia is a high-trust diffuser: rich, skilled and quick to put AI to work. The scores show why. AI diffusion capacity is 4.8 out of 5 and language inclusion 4.9, near the top of the world. Cyber resilience is 4.4, and its demographics and migration score 4.3, unusual for a wealthy economy. It sits inside the alliance system that governs frontier access, rated Tier 1 in the 2025 US diffusion framework. What is thinner is the ability to build. Compute and energy access scores 2.8, catch-up headroom just 1.7, and climate resilience 2.3. At about $65,100 GDP per person, Australia is firmly high-income, with ten-year trend growth of 2.3% a year. It holds a rare card: energy, land, a cool southern climate and the minerals of the AI hardware stack.
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. Australia would gain a small lift on trend: 2.7% growth a year, 84th of 157. Its economy would keep absorbing AI as a useful tool, no more. Under Gradual takeoff, growth would climb for two decades and reach 16.1% a year once AGI matures around 2045. That would rank Australia 6th in the world. Its head start in adoption, trust and skills would compound every year before full automation. An economy growing at 16.1% doubles in under five years. Under Fast takeoff, growth would reach 27.4% a year from the early 2030s, a doubling every three years or so. Yet Australia's rank would slip to 9th, because a fast world rewards the compute and frontier capability it does not yet own. Regulation and politics could slow or redirect any of these paths. How Australians 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 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 signal a fast world; a point or two above trend by the mid-2030s a gradual one; a fade back to trend a modest one. Australia's own tells would arrive earlier than the growth figures: hyperscaler hosting commitments on Australian soil, financial close and grid connection for new generation, order books for lithium and rare-earth processing, and continued Tier 1 standing in the alliance's chip rules.
If growth goes explosive
Explosive is relative. At 16.1% growth a year under Gradual, Australia would still trail the frontier, where the United States would compound at nearly 39% in a fast world. But it would run far ahead of its region, whose median growth reaches only about 6%. The economy would double in under five years, so a child starting school now would finish in a country several times richer. The export mix would shift: fuels and ores, today more than a third of exports each, would share the stage with hosted computing and energy services. Fast growth would raise wages and labor demand, drawing the skilled migrants Australia already attracts rather than reversing any outflow. There is a way this leaves Australia worse off. As a Tier 1 customer inside another power's chip regime, it depends on access it does not control, and a comfortable customer can be repriced or throttled from abroad. The hedge is to use its energy and minerals to become a builder, not only a buyer. Even then, the pace-setter would shift to the state, testing federal and state permitting, environmental approvals and grid connection queues.
What Australia can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is climate and environmental resilience, low at 2.3. Water security, cooling and defense against heat and flood protect the economy under every scenario, and they are the same inputs any data center build would need. This is a no-regret move. The second is absorptive capacity, where catch-up headroom sits at 1.7. Australia's institutions and rule of law are already strong, so the task is to protect openness — to trade, foreign investment and skilled migration — rather than close a gap. That too is no-regret. The third lever is the bet. Compute and energy access, at 2.8, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Australia's biggest lever: fast-track grid connection and new generation, secure chip access through alliances, and package power and land to anchor hyperscale investment. Australia can adapt a working model from a peer: Singapore's Green Data Centre Roadmap allocated new power to hyperscalers under strict efficiency rules. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to see how moving each score changes Australia's path under every scenario.
Use the policy editor to test how different factor scores change Australia’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 Australia: 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.