Denmark’s central bank estimates that AI could lift the country’s GDP by 6% and productivity by 10%, but much of the advanced AI computing power Denmark relies on is provided by foreign cloud companies and chip manufacturers, largely headquartered outside Denmark.
Denmark is betting big on artificial intelligence. The country leads the EU in company AI adoption, with 28% of firms using AI technologies in 2024, more than double the EU average of 13.5%, according to Eurostat. The potential payoff is enormous. According to Danmarks Nationalbank’s 2026 analysis, generative AI could permanently boost Danish labour productivity by up to 10% and GDP by as much as 6% over the long term. At current GDP levels, that would equal roughly 160 to 180 billion kroner in extra output per year, or around 27,000 to 30,000 kroner per resident annually, based on recent Statistics Denmark GDP and population figures.
The problem is significant. Denmark does not control the infrastructure that makes this possible. As Brookings and other international analyses show, the advanced chips, cloud platforms and foundation models driving the AI boom are concentrated in a handful of foreign companies and jurisdictions, primarily the United States. Danmarks Nationalbank explicitly warns that the projected gains depend on continued access to these technologies and may be lower if Danish companies face restricted access due to geopolitical conditions.
An Economy Built on Foreign AI
Denmark has formalised its approach with a new Strategic Approach to Artificial Intelligence that aligns closely with the EU AI Act. According to the Ministry of Digital Affairs, the Agency for Digitisation now serves as the national coordinating supervisory authority. Bans on unacceptable-risk AI systems took effect in February 2025. High-risk obligations phase in from August 2026 and August 2027.
The government promises to develop a secure platform for Danish language models and release good Danish data on a large scale. But the strategy says little about building domestic AI hardware or sovereign compute capacity. According to cross-Nordic analysis, Denmark invests significantly in AI on a per capita basis, among the highest in the EU, though this figure comes from non-official Nordic studies and is not a verified Eurostat statistic. Denmark lacks a domestic high-end semiconductor industry and does not have hyperscale data centre capacity comparable in scale or global influence to the largest US-based providers.
Big Companies Race Ahead
The AI divide within Denmark is widening. According to Statistics Denmark, in 2025, 75% of firms with more than 250 employees used at least one AI-based technology. Among firms with 10 to 249 employees, the figure was just 37%. Internationals working in large Danish employers in IT, pharmaceuticals or finance are heavily exposed to AI-driven changes. Those in smaller companies face a growing competitive disadvantage.
According to McKinsey’s analysis of Denmark, AI could unlock 100 to 160 billion kroner in value for the Danish private sector, equivalent to a 2 to 3 percentage point profit margin uplift. Based on Denmark’s population of approximately 5.9 million, that is equivalent to tens of thousands of kroner per typical two-adult household, though McKinsey does not publish official per-household figures. These gains assume stable access to foreign AI services and hardware, an assumption that feels less safe in 2026 than it did two years ago.
A Small Country’s Geopolitical Gamble
Denmark’s situation reflects a broader European pattern. As the OECD notes, Denmark’s strategy is part of the EU Coordinated Plan on AI, and many member states are simultaneously increasing AI adoption while relying on non-EU infrastructure. Compared with other EU countries, Denmark stands out for high per capita AI investment and strong public sector experimentation. Between 2019 and 2022, Denmark and its municipalities allocated around EUR 27 million to AI pilots in healthcare, administration and the green transition, according to AI Watch.
What Denmark lacks is leverage. As Brookings analysis of AI infrastructure shows, most hard AI infrastructure, specialised chips, major data centres and cloud platforms, is concentrated in a few countries and firms. Denmark has aligned its governance tightly with the EU AI Act, emphasising citizen-centric and rights-respecting AI. But EU alignment does not solve the dependency problem.
For internationals living and working in Denmark, the implications are practical. Monitor EU AI Act implementation through the Agency for Digitisation. Follow official guidance at borger.dk and virk.dk, where new AI-related obligations on documentation, transparency and risk assessments will appear. If foreign policy events disrupt access to specific AI tools, you may need to switch providers to EU-based or locally hosted alternatives. Keep data portable and maintain local backups.
High Opportunity, Low Sovereignty
Denmark offers a rare combination. You can work at the cutting edge of responsible AI in a wealthy, highly digital, and ethically conscious society. But the tools and infrastructure underpinning that work may be exposed to external decisions beyond Danish democratic control. The Strategic Approach focuses on aligning with EU law and building trust, not on building independent AI infrastructure.
The central bank’s 6% GDP estimate is the upper bound of scenario calculations, conditional on wide and effective AI adoption and continued access to foreign technology. That conditionality is the story. Denmark has committed fully to an AI-powered future while remaining structurally dependent on foreign providers for the infrastructure that makes it possible. For a small, open economy that has long relied on imported technology, this is not entirely new. But the concentration of AI providers and the strategic nature of chips and data centres make the stakes sharper than before. The gains could be enormous. So could the risks.
