Sweden
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
A large share of activity takes place in formal service workplaces. This creates scope for early productivity gains and greater exposure to task displacement and workplace reorganization.
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 Sweden starts
Sweden enters the AGI era as a high-trust diffuser: rich, skilled and fast to put AI to work. The scores show why. AI diffusion capacity is 4.8 out of 5, among the highest anywhere; climate and environmental resilience tops the field at 4.9. Physical build speed (4.2) and cyber resilience (4.2) are strong, and BankID plus mature digital government let new tools spread fast. Fossil-free hydropower in the north drew Meta's data center at Luleå; Ericsson and Spotify anchor a deep technology base. What Sweden lacks is a frontier of its own. Compute and energy access scores just 2.5, and catch-up headroom only 1.6, because a $63,000-per-person economy has little room to grow by copying others. Ten-year trend growth is 1.8% a year. Every scenario turns on how much AI Sweden can absorb, and whether it owns any of it.
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. Sweden would gain little: 2.2% growth a year, 104th of 157, as its diffusion edge adds only a small premium in a world where AI never transforms production. Under Gradual takeoff, growth would build over two decades and reach 15.1% a year once AGI matures around 2045, placing Sweden 12th in the world. The long runway lets its skilled workforce and digital institutions compound their head start. An economy growing at 15.1% doubles in under five years. Under Fast takeoff, growth would arrive from the early 2030s and reach 25.8% a year, a doubling every three years, lifting Sweden to 13th. Its rank barely moves between the two AGI worlds, because Sweden absorbs AI well in both but owns no frontier in either. Regulation and politics could slow or redirect any of these paths. How Swedes 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. In the late 2020s, all three add only fractions of a point to growth. 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 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. Sweden's own signals would come earlier than the GDP figures: fresh hyperscaler commitments to its northern power, grid interconnection approvals from Svenska kraftnät, and the AI order books of Ericsson and its industrial firms.
If growth goes explosive
Explosive is relative. At 15.1% growth a year, Sweden would run far ahead of its European neighbours, whose median path is near 10.4%. But it would still trail the frontier: the United States would compound at almost 20%. In a fast world the gap widens, 25.8% against a frontier near 39%. Even so, these are transforming rates. An economy doubling every three to five years would be four times larger within a generation. Sweden is an aging country, so growth would work through higher productivity and adoption, not a bigger workforce; strong labor demand and rising wages could draw in skilled migrants rather than reverse any outflow. There is a way this leaves Sweden worse off. Its whole advantage is absorbing AI it does not build. If alliance access narrows or open-weight models fall far behind the frontier, that edge decays into dependence, and the compute it uses is rented, not owned. The hedge is to secure chip access and help build sovereign or European capability. Even then, the pace-setter shifts to the state, testing how fast the grid operator, municipal planners and permitting courts can connect power and approve data centers.
What Sweden can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is human capital, where demographics scores 2.3. Skilled-migration visas, keeping older workers and women in the labor force, and training people to complement AI rather than compete with it all raise growth even in the skeptic's world. That makes them no-regret. The second is absorptive capacity, behind a catch-up score of 1.6. Sweden's institutions are already strong, so this means protecting openness to trade, investment and technology transfer, and keeping finance and infrastructure ready to deploy new tools fast. Also no-regret. The third lever is the bet. Compute and energy access, at 2.5, carries the most weight of any factor yet barely moves growth if AI stays ordinary. Under a fast takeoff it becomes Sweden's single biggest lever. Closing it means fast-tracking grid connection, new generation including nuclear, and power-and-land packages to anchor hyperscale investment. France offers a model: it is pairing large data center investment with a home-grown frontier lab, Mistral, to own part of the stack rather than only rent it. 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 reshapes Sweden's path under every scenario.
Use the policy editor to test how different factor scores change Sweden’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 Sweden: 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.