Switzerland
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 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 Switzerland starts
Switzerland enters the AGI era as one of the purest high-trust diffusers, the rich and skilled economies that absorb new tools fast. The scores explain the label. AI diffusion capacity is 4.8 out of 5, among the highest anywhere: deep skills, ETH Zürich and EPFL, and firms like Roche, Novartis and UBS that put new technology to work quickly. Climate resilience is also 4.8 and language inclusion 4.6. What holds it back is arithmetic. At about $115,000 per person, catch-up headroom scores just 1.3. There is little cheap growth left to copy from richer neighbours, because Switzerland already sits at the frontier of income. Compute and energy access is a middling 2.9. Ten-year trend growth is 1.8% a year, the steady pace of a mature economy. This is a high-income country whose future turns on absorbing AI, not on building the frontier itself.
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. Switzerland would grow 2.2% a year, only a touch above trend, and rank 105th of 157. A rich economy has little room to accelerate when AI stays ordinary. Under Gradual takeoff, growth would build for two decades and reach 14.3% a year once AGI matures around 2045, lifting Switzerland to 18th in the world. Its head start in adoption compounds through every year of the diffusion era. An economy growing at 14.3% doubles in a little over five years. Under Fast takeoff, growth would reach 25.7% a year from the early 2030s, a doubling every three years, and the rank would rise to 14th. A fast world rewards economies that can deploy frontier tools at once, and few do that better. Regulation and politics could slow or redirect any of these paths. How the Swiss public, the cantons and firms 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 there within a couple of years of 2030 would signal a fast world. A point or two above trend by the mid-2030s would signal a gradual one. A fade back to trend would signal a modest one. Switzerland's own signals would arrive sooner: hyperscaler data center commitments on Swiss soil, the pace of hiring at Google's large Zurich engineering hub, and how fast pharma and finance fold AI into their pipelines.
If growth goes explosive
Explosive is relative. At 14.3% growth a year, Switzerland would run ahead of its region, which the model puts at a 10.4% median, but behind a frontier compounding at 19.5%. Under Fast takeoff the gap widens: 25.7% at home against 39.2% at the frontier, which would grow roughly half again as fast. So this is catch-up against Swiss history and slow relative decline against the leaders. The economy would double every five years or so under Gradual, every three under Fast. Services could deepen further into finance, pharma and high-value manufacturing. Switzerland is an aging country that already draws in workers, so there is no emigration to reverse; faster growth would raise labour demand and wages and pull in more skilled migrants. There is a way this leaves Switzerland worse off. Its frontier access is borrowed, resting on alliance inclusion and on open-weight models staying near the frontier. Outside the EU, it could become a rule-taker in another power's chip regime, renting compute it does not own. The hedge is co-invested, partly owned capacity. Even then, the pace-setter would shift to the state, testing cantonal permitting, Swissgrid connections and referendum politics.
What Switzerland can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is human capital and migration, low at 2.0. Skilled-talent visas, higher participation by women and older workers, and training that lets workers complement AI carry weight even in the skeptic's world, so this is a no-regret move. The second is openness, the route out of a 1.3 catch-up score. Switzerland already leads on institutions and rule of law, so the task is to protect that strength and stay open to trade, investment and technology transfer, again no-regret. The third lever is the bet. Compute and energy access, at 2.9, barely moves growth if AI stays ordinary, but under Fast takeoff it becomes the single biggest lever. That means faster grid connections, new generation, streamlined permits, and power-and-land packages to anchor data centers. Sweden shows the model, drawing hyperscale investment north with cheap hydropower and quick grid access; Switzerland could adapt it with its own hydro. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to test how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change Switzerland’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 Switzerland: 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.