Lens
Gradual: Broad automation and transformative growth · AGI ~2040
Growth as of

Netherlands

Europe · Supply chain chokepoints
$73,684
GDP per capita · 2025 · World Bank
AGI Growth Index
70.3
Post-AGI rate · from 2040 · Gradual
11.5%
vs trend +9.6pp · doubles every 6.4y
Growth in 2035 · Gradual
4.7%
vs trend +2.8pp
Trend, no AI
1.9%
mean 2016–2025
GDP in 2045 vs no-AI path
×2.3
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
6.3%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$100k$200k$300k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Netherlands
Supply chain chokepoints

These countries supply difficult-to-replace inputs, including fabrication, memory, equipment, materials and lithography.

Modeled advantage: Their advantage lasts while those inputs remain difficult to replace; the same concentration also creates exposure.
Main exposure: All are targets of competing supply chain strategies. Taiwan concentrates the largest risk, and all four have aging populations.
Compute & Energy Access2.7
Geopolitical Positioning4.5
AI Diffusion Capacity4.9
Language Inclusion4.4
Physical Build Speed3.2
Catch-up Headroom1.4
Demographics & Migration2.5
Cyber Resilience4.6
Climate & Environmental Resilience4.2

How this economy meets AI

Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.

Production baseServices-led
Workforce structureService-intensive workforce
Work organizationMostly formal
Current automationHigh current exposure

Where output comes from (% of GDP)

Agriculture 20251.7%
Industry 202517.7%
Services 202570.4%

Where people work (% of employment)

Agriculture 20251.7%
Industry 202513.8%
Services 202584.5%

Informal employment

Share of employment 20245.4%

Current automation exposure

Tasks exposed58.5%
Interpretation of these indicators

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.

Current automation, not AGI. The Global Automation Atlas measures economically plausible automation in typical workplaces around 2026. It is a useful baseline for where automation can enter today, not a forecast of exposure to gradual or fast AGI. Explore current task exposure in the Global Automation Atlas →

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.

Country brief · simulations, not forecastsDownload the earlier brief (PDF)
This brief is being updated. It was drafted before the atlas’s latest model update, so some of its growth rates, ranks and dates differ from the figures above. Where they differ, the figures above are current.

Where the Netherlands starts

The Netherlands enters the AGI era as a supply chain chokepoint: a country that makes an input the frontier cannot do without. ASML, in Veldhoven, builds the extreme-ultraviolet lithography machines every advanced chip needs, and no rival can replace it. The scores describe a rich, capable absorber. AI diffusion capacity is 4.9 out of 5, among the world's highest; cyber resilience is 4.6; geopolitical positioning is 4.5. What is missing sits underneath. Compute and energy access scores 2.7, held back by a congested electricity grid. Catch-up headroom is just 1.4, because a $73,684-per-person economy has little ground to make up. Ten-year trend growth is 2% a year. The Dutch strength is indispensability. The open question is whether power and chips can match 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. The Netherlands would gain a small lift: 2.4% growth a year, 97th of 157. Its strength in adoption would raise productivity a little without changing the shape of the economy. Under Gradual takeoff, growth would climb for two decades and reach 15.1% growth a year once AGI matures around 2045, ranking 13th in the world. An economy growing at that rate doubles in under five years. The long ramp gives Dutch firms time to turn deep skills and dense infrastructure into new output. Under Fast takeoff, growth would reach 25.9% growth a year from the early 2030s, a doubling every three years, ranking 12th. The chokepoint value of Dutch lithography rises sharply when the world races to build chips. Regulation and politics could slow or redirect any of these paths. How the Dutch public 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, 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, a gradual one; a fade back to trend, a modest one. The Dutch signals arrive earlier than GDP. Watch ASML's order book and EUV shipments, the pace at which grid operators clear connection requests for data centers, and how tightly export-control rules bind its machine sales.

If growth goes explosive

Explosive is relative. At 15.1% growth a year under Gradual, the Netherlands would trail the frontier, where the United States would compound faster, at 19.5% growth a year. But it would run well ahead of its region, whose median is 10.4%. At the Fast rate of 25.9%, the frontier would pull further away, at 39.2%. So Dutch growth would be fast by world standards yet a relative decline against the pace-setters. The economy would double every three to five years. A child starting school now would finish it in a country several times richer. Because the Netherlands is an aging country that already draws workers in, fast growth would raise labor demand and wages and attract more skilled migrants, not reverse an outflow. There is a way this leaves the country worse off. Its chokepoint is also its exposure: ASML sells under export rules written in Washington and The Hague, so a rule-taker's position could be squeezed by decisions made elsewhere. The hedge is to widen its customer base and deepen European chip capacity. Even then, the pace-setter would shift to the state, testing whether grid operators like TenneT, nitrogen-bound permitting offices and the courts can connect, approve and adjudicate fast enough.

What the Netherlands can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is demographics and migration, at 2.5. Skilled-migration visas, higher participation among women and older workers, and training that lets people complement AI rather than compete with it all raise growth in the skeptic's world. This is a no-regret move. The second is catch-up headroom, at 1.4. For a rich country the gain comes from staying open to trade, foreign investment and technology, and from keeping institutions sharp. That too is no-regret, and it guards the Dutch strength, an AI diffusion score of 4.9 that ranks among the world's best and must keep improving even so. The third lever is the bet. Compute and energy access, at 2.7, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes the country's largest lever. Closing it means clearing grid congestion, adding generation and offering power-and-land packages for data centers. South Korea is doing a version of this at Yongin, building a semiconductor mega-cluster with dedicated power. A cautious government can act on the two no-regret levers today and lose nothing. To see how moving these scores reshapes each path, open the atlas's policy editor.

Use the policy editor to test how different factor scores change Netherlands’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.

For government planning · compatible with any AI model

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 Netherlands: 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

No score targets included. Set them in the policy editor.

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.