Canada
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
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 Canada starts
Canada enters the AGI era as a high-trust diffuser: rich, skilled and quick to absorb AI. The scores show why. AI diffusion capacity is 4.6, language inclusion 4.9, climate resilience 4.9 and cyber resilience 4.6 — among the world's leaders. Its research base is real: Mila in Montreal, the Vector Institute in Toronto, Amii in Edmonton, backed by the Pan-Canadian AI Strategy. Demographics score 4.3, helped by high immigration. What is missing is frontier capacity. Catch-up headroom is 1.8, because Canada already sits near the technology frontier, and compute and energy access is 3.1 despite abundant hydro power and critical minerals. At about $55,698 per person it is a high-income economy. Ten-year trend growth of 1.8% a year is slow. Every scenario turns on whether Canada builds the compute to match its skills.
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. Canada would gain a small lift: 2.3% growth a year, 101st of 157. Its head start in adoption would help, but little would change structurally. Under Gradual takeoff, growth would climb for two decades and reach 18.3% a year once AGI matures around 2045, placing Canada 3rd in the world. An economy at that rate doubles in about four years. The long ramp lets its skills, energy and minerals compound its diffusion lead. Under Fast takeoff, growth would reach 31.2% a year from the early 2030s, a doubling every two-and-a-half years or so, and Canada would still rank 3rd. Its rank holds because a fast world rewards the diffusion, trust and energy it already has. Politics could slow or redirect any path. How Canadians 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 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 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. Canada's own signals would arrive earlier than GDP data: hyperscaler data center commitments in Quebec and Alberta, grid interconnection approvals, critical-mineral order books, and how fast banks, insurers and hospitals put AI into daily work.
If growth goes explosive
Explosive is relative. At 18.3% growth a year under Gradual, Canada would rank third, yet still trail the United States, compounding at 19.5%. Under Fast the gap widens: 31.2% against the frontier's 39.2%. Canada would run far ahead of its own history but a notch behind its neighbor. The economy would double every four years under Gradual, every two-and-a-half under Fast. A child starting school could finish it in a country several times richer. Composition would shift from oil and manufacturing exports toward compute, energy and AI-enabled services. Canada is aging but takes in many immigrants; faster growth would raise labor demand and wages, pulling in more skilled workers. The honest downside: Canada holds little frontier capability of its own, so it is a rule-taker inside the American chip and model regime. Access could be repriced or restricted by decisions made in Washington. The hedge is to build owned compute and lock in alliance guarantees. Even then, the pace-setter shifts to the state, testing federal-provincial permitting, transmission approvals and impact assessments.
What Canada can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with the no-regret moves. First, physical build speed, already a strength at 3.9. Statutory shot clocks, one-stop approvals and transmission built ahead of demand speed every kind of project, so sharpening this is a no-regret move. Second, catch-up headroom, low at 1.8 because Canada already sits near the frontier. Stronger institutions, open trade and deeper absorptive capacity — skills, finance, infrastructure — pay off in the skeptic's world too. The third lever is the bet. Compute and energy access, at 3.1, is Canada's largest lever under a fast takeoff but barely moves growth if AI stays ordinary. Closing it means packaging hydro power, land and fast permits to anchor hyperscale data centers, and securing chip access through the US alliance. Canada can adapt a peer's working model: the United Kingdom's AI Growth Zones pair grid access with streamlined planning to draw compute investment. 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 Canada's path under each scenario.
Use the policy editor to test how different factor scores change Canada’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 Canada: 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.