Luxembourg
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.
This country is not covered by the Global Automation Atlas’s public country file; its task-level exposure work for other countries is at automationatlas.org.
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 Luxembourg starts
Luxembourg is a high-trust diffuser: rich, highly skilled and fast to absorb AI. The scores show why it belongs. AI diffusion capacity is 4.1, language inclusion 4.6, cyber resilience 4.2 and climate resilience 4.7. Demographics and migration score 4.6, far above the archetype's typical 2, because Luxembourg draws its workforce from across its borders. Roughly half its workers commute in daily from France, Belgium and Germany. At about $147,252 per person, it is one of the world's richest economies. Its concrete strengths are real: the world's second-largest investment fund center, the European Court of Justice and European Investment Bank, the satellite operator SES, and the LuxConnect data centers. The constraints are just as clear. Compute and energy access is 1.7, physical build speed 1.3 and catch-up headroom 1.2. Ten-year trend growth is 1.9% a year.
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. Luxembourg would gain a small lift on trend: 2.2% growth a year, 106th of 157. Its fund industry and digital services would absorb AI at the margin. Under Gradual takeoff, growth would climb for two decades and reach 11.3% a year once AGI matures around 2045. That would place Luxembourg 39th in the world. An economy growing at 11.3% doubles in about six and a half years. The long runway would let it turn skills, openness and financial depth into hosted AI services. Under Fast takeoff, growth would reach 14.6% a year from the early 2030s, a doubling roughly every five years. But its rank would slip to 49th, ten places lower, because a fast world rewards the compute and frontier access Luxembourg does not hold. Politics could slow or redirect any of these paths. How Luxembourgers and their government respond to transformative AI is a variable the model holds constant.
How you would know which world you are in
The three 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. Luxembourg's own signals would arrive earlier: AI adoption and order books in the funds and banking sector, financial close and construction on data center sites such as Google's planned Bissen project, and rules from the CSSF regulator that let AI operate inside regulated finance.
If growth goes explosive
Explosive is relative. At 11.3% growth a year, Luxembourg would run at about its region's median of 10.4%, but well behind the frontier compounding at 19.5%. This would be catch-up against its own history, not explosive by world standards. The economy would double roughly every six and a half years. Financial services would deepen and hosted AI and digital services would grow alongside them. Luxembourg is an immigration country, so there is no emigration to reverse. Faster growth would raise labor demand and wages, drawing still more cross-border workers into the economy. There is a way this leaves Luxembourg worse off, and it is worth naming. It would rent its compute rather than own it, and sit as a rule-taker inside another power's chip regime. Europe hosts about 8% of tracked training compute and none of the leading labs. If alliance access narrowed or open-weight models fell far behind the frontier, its financial and digital edge could be repriced or throttled by decisions made abroad. The hedge is to secure sovereign or European capacity and diversify suppliers. Even then, the pace-setter would shift to the state, testing how fast the CSSF, permitting bodies, courts and a small civil service can approve, adjudicate and count.
What Luxembourg can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is physical build speed, low at 1.3. Statutory shot clocks, one-stop approvals and grid built ahead of demand are no-regret moves; slow permitting hurts a small, land-scarce economy in any world. The second is protecting openness and absorptive capacity, the substance behind the 1.2 catch-up score. Luxembourg is already open to trade, FDI and technology transfer, and its institutions are strong; the no-regret task is to defend that edge, not rebuild it. The third lever is the bet. Compute and energy access, at 1.7, carries the most weight of all under a fast takeoff but barely moves growth if AI stays ordinary. Closing it means packaging power, land and fast permits to anchor hyperscale investment, and securing chip access through alliances. Singapore, an archetype peer that is also small and energy-constrained, published a Green Data Centre Roadmap in 2024 that added capacity paired with clean-power and efficiency rules. A cautious government can act on the two no-regret levers today and lose nothing if the skeptics are right. To see how moving any of these scores changes Luxembourg's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Luxembourg’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 Luxembourg: 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.