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

Denmark

Europe · High-trust diffusers
$76,970
GDP per capita · 2025 · World Bank
AGI Growth Index
67.3
Post-AGI rate · from 2040 · Gradual
10.5%
vs trend +8.3pp · doubles every 6.9y
Growth in 2035 · Gradual
4.7%
vs trend +2.5pp
Trend, no AI
2.2%
mean 2016–2025
GDP in 2045 vs no-AI path
×2.1
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
6%
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
Denmark
High-trust diffusers

High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.

Modeled advantage: Their advantage appears during diffusion and accumulates in the years before broad automation.
Main exposure: Most have little frontier capability of their own and depend on alliance access or open-weight models; many also build slowly.
Compute & Energy Access2.0
Geopolitical Positioning4.0
AI Diffusion Capacity4.8
Language Inclusion3.7
Physical Build Speed3.9
Catch-up Headroom1.5
Demographics & Migration2.0
Cyber Resilience4.9
Climate & Environmental Resilience4.4

How this economy meets AI

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

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

Where output comes from (% of GDP)

Agriculture 20251.2%
Industry 202524.8%
Services 202562.7%

Where people work (% of employment)

Agriculture 20251.6%
Industry 202518.8%
Services 202579.6%

Informal employment

Share of employment 20197.1%

Current automation exposure

Tasks exposed58.9%
Interpretation of these indicators

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.

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 Denmark starts

Denmark enters the AGI era as a high-trust diffuser: rich, skilled and quick to absorb new technology. The scores show why. AI diffusion capacity is 4.9 out of 5, near the world's top, and cyber resilience is 4.9 as well. Public services run on the MitID digital identity, and adoption is broad. Geopolitics scores 4, secure inside the Western alliance. Its firms are world-class — Ørsted in offshore wind, Novo Nordisk in pharmaceuticals, Maersk in shipping. What is missing is homegrown frontier capability. Compute and energy access scores 2, because Denmark hosts little frontier computing. Catch-up headroom is 1.4, because a rich economy near the frontier has little room to grow by copying others. Demographics scores 2 in an aging society. At about $77,000 GDP per person and 2.1% ten-year trend growth, Denmark is high-income and steady, but derivative on the frontier.

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. Denmark would gain a small lift on trend: 2.5% growth a year, 91st of 157. Its head start in adoption would help at the margin, no more. Under Gradual takeoff, growth would climb for two decades and reach 13.3% a year once AGI matures around 2045. That would place Denmark 22nd in the world. The long ramp gives its firms and public services time to turn deep adoption into real output. An economy growing at 13.3% doubles in about 5.6 years. Under Fast takeoff, growth would reach 21.8% a year from the early 2030s, a doubling roughly every three and a half years. Yet Denmark's rank would slip three places to 25th, because a fast world rewards the compute and frontier access Denmark does not own. Regulation and politics could slow or redirect any path. How Danes and their institutions respond to transformative AI is a variable the model holds constant.

How you would know which world you are in

The three scenarios barely diverge before 2030. In all of them the late 2020s 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 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. Denmark's own tells would arrive earlier than the growth figures: hyperscaler commitments to Danish data centers, grid connection queues at Energinet, and how fast firms like Novo Nordisk and Maersk fold AI into drug discovery and logistics.

If growth goes explosive

Explosive is relative. At 13.3% growth a year under Gradual, Denmark would still trail the frontier, where the United States would be compounding at 19.5%. Under Fast the gap is wider: 21.8% against a frontier near 39%. But Denmark would run well ahead of its region, whose median is 10.4% and 16.4%. The economy would double about every 5.6 years, so a child starting school would finish it in a country several times richer. Wind power, pharmaceuticals and shipping could scale into far larger export earners. Denmark is aging, so there is no diaspora to bring home; instead faster growth would raise labor demand and wages, pulling in skilled migrants. There is a way this leaves Denmark worse off. Its access to frontier capability is rented, not owned. It rests on alliance inclusion and open-weight models staying near the frontier. A chip regime set in Washington could be repriced or narrowed by decisions made elsewhere. The hedge is to secure guaranteed access and build some sovereign capacity. Even then, the pace-setter would shift to the state, testing how fast Danish ministries, municipalities and Energinet can permit, connect and adjudicate.

What Denmark can do now

Three levers follow from the scores, and two of them pay off whether or not AGI arrives. The first is human capital and demographics, at 2. Raising participation among older workers, attracting skilled migrants and training people to work alongside AI helps an aging economy under every scenario. That is a no-regret move. The second is absorptive capacity and openness, the factor behind Denmark's low catch-up headroom of 1.4. Keeping trade, investment and technology flowing freely, and protecting the diffusion strength already at 4.9, pays off in the skeptic's world too — another no-regret step. The third lever is the bet. Compute and energy access, at 2, barely moves growth if AI stays ordinary, but under a fast takeoff it becomes Denmark's single biggest lever. Closing it means packaging wind power, land and fast grid connections to anchor hyperscale investment, and securing chip access through alliances. Sweden shows the model: it drew Meta's data centers to Luleå with cheap northern power. A cautious government can act on the two no-regret levers today and lose nothing if the skeptics are right. Open the atlas's policy editor to see how moving these scores reshapes Denmark's path under each scenario.

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