Belgium
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 Belgium starts
Belgium is a high-trust diffuser: rich, skilled and quick to put AI to work. Its scores show why. AI diffusion capacity is 4.8 out of 5, among the world's highest, and cyber resilience is 4.7. Belgium hosts imec in Leuven, one of the world's leading chip-research institutes, the Port of Antwerp-Bruges and the EU institutions in Brussels. Geopolitical positioning and physical build speed both score 4. What Belgium lacks is a frontier of its own. Compute and energy access scores 2.1, and catch-up headroom just 1.4, because a $60,750-per-person economy is already near the frontier with little easy ground to make up. Its population is aging; demographics score 1.8. Ten-year trend growth is 1.7% a year. Every scenario turns on whether Belgium can get the compute and power its skills could use.
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. Belgium would see a small lift to 2% growth a year, 116th of 157, as its strong absorption meets a shortage of frontier capability. Under Gradual takeoff, growth would climb over two decades and reach 12.9% a year once AGI matures around 2045, placing Belgium 30th in the world. An economy growing at 12.9% doubles in under six years. The long ramp gives its skilled workforce time to spread AI across services, chemicals and logistics. Under Fast takeoff, growth would reach 22.3% a year from the early 2030s, a doubling every three to four years, and Belgium would rise to 23rd. Here its head start in diffusion and cyber pays off sooner. Regulation and politics could slow or redirect any of these paths. How Belgians 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 identical until about 2030. 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. Belgium's own signals would arrive earlier than the growth data: hyperscaler commitments to new data centers on Belgian soil, imec's order book and research partnerships, and grid connection queues for large new loads.
If growth goes explosive
Explosive is relative. At 12.9% growth a year, Belgium would run ahead of its region's median of 10.4%, but well behind a frontier compounding at 19.5%. In a fast world the gap widens: 22.3% at home against 39.2% at the frontier. Either rate would still dwarf Belgium's own history. The economy would double every three to six years, so a child starting school could finish it in a country several times richer. Chemicals, logistics and finance would automate fastest, and rising wages would ease the labor shortages of an aging workforce. There is a way this leaves Belgium worse off. Its access to frontier models rests on rented compute and on alliance inclusion, both decided abroad. A data center financed and steered from elsewhere can be throttled or repriced. The hedge is to own more of the stack, using imec and European partners, rather than rent it all. Even then, the pace-setter would shift to the state, testing whether Belgium's three regions, divided permitting and contested nuclear plants can approve power fast enough.
What Belgium can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with the no-regret moves. The first is human capital, where demographics score 1.8. Skilled-migration visas, higher participation among women and older workers, and training that lets people complement AI all strengthen an aging economy under every scenario. Germany's Opportunity Card, which streamlines skilled migration, is a working model Belgium's talent gap could adapt. The second no-regret move is absorptive capacity, behind the low 1.4 catch-up score: keep markets open to trade and technology transfer, and keep finance and infrastructure ready to adopt fast. The third lever is the wager. Compute and energy access, at 2.1, barely moves growth if AI stays ordinary, but it carries the most weight under a fast takeoff. Closing it means fast-tracking grid connections and new generation, and packaging power, land and permits to anchor data center investment. 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 these scores reshapes Belgium's path under each scenario.
Use the policy editor to test how different factor scores change Belgium’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 Belgium: 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.