Nordic firms pour record sums into AI — but only 4% see strong returns, reports find
Three major studies expose a widening gap between AI investment and business impact across Denmark, Finland, Norway and Sweden, raising questions about whether the region risks inflating an AI value bubble.
Text by Martti Asikainen 25.3.2026 | Photo by Adobe Stock Photos
Nordic companies have almost universally adopted artificial intelligence. Yet only 4% are achieving returns of at least five times their investment, according to research published by Boston Consulting Group on 10 March. That rate is on par with global and EU competitors, but strikingly low given the scale of spending across the region.
The BCG study drew on interviews with more than 300 executive leaders and managers across mid- and large-cap Nordic companies. It found that executives expect AI to drive revenue growth of roughly 30% and cost reductions of around 25% by 2029, expectations significantly higher than those reported by European and global peers. The gap between that ambition and current returns is what BCG describes as the central risk facing the region.
Nordic companies are directing a disproportionate share of their AI budgets toward ready-made productivity tools. BCG found that 40% to 50% of AI investment goes to off-the-shelf solutions, compared with 8% to 11% among global and EU competitors. Global leaders, by contrast, invest far more in transformative, end-to-end use cases, which typically generate higher returns.
The pattern helps explain why efficiency gains are visible but revenue growth remains elusive. Companies are using AI to automate existing tasks rather than to build new products, services, or business models. If the gap persists, BCG warns, Nordic economies face a real risk of what it calls a local AI value bubble.
Satisfaction masks deeper challenges
The fourth edition of the Nordic State of AI report was published by AMD Silo AI and AI Finland in March 2025. It surveyed more than 120 companies and 17 public sector organisations across the region. The picture it presents is more optimistic on the surface, but carries important qualifications.
Approximately 60% of surveyed companies reported being satisfied or very satisfied with their AI results. The share of companies with formal frameworks to assess AI success rose from 25% to over 40% in a single year. However, the same report found that insufficient investment has now replaced lack of talent as the primary barrier to scaling AI. The shift suggests organisations are moving past early experimentation but struggling to fund the next step.
According to the report, companies that report the strongest outcomes share a common characteristic. They use AI as part of their core products and focus on gaining competitive advantage, rather than simply improving internal efficiency. That distinction maps directly onto the spending pattern BCG identified.
“Fierce competition in a global technology landscape requires companies to not only embrace AI but also address key challenges in value creation. These include the challenges with large-scale integration into business processes, navigating the complexities of AI talent acquisition, and building a strong AI infrastructure,” said Peter Sarlin, chief executive and co-founder of Silo AI.
Returns lag behind Europe
A separate Deloitte survey drew on responses from 1,742 executives, including 266 from Nordic firms. Approximately 70% of Nordic firms are allocating 10% or more of their IT budget to AI-related efforts, with a quarter allocating more than 20%. Yet returns are taking longer to materialise than elsewhere in Europe.
Fewer than 40% of Nordic organisations expect significant returns from generative AI within a year. In the rest of Europe, over half expect returns within that timeframe. The divide is wider still for agentic AI, autonomous systems capable of executing multi-step tasks. Some 58% of Nordic respondents already using the technology anticipate a timeline of three or more years for significant returns, compared with 37% in the rest of Europe.
Deloitte also found that 43% of Nordic respondents rely on function- or employee-driven, bottom-up identification of AI use cases, compared with 32% in the rest of Europe. Whilst inclusive, this approach can fragment priorities, constrain funding, and slow the shift toward transformational outcomes. The report argues that CEOs and business leaders must actively sponsor AI initiatives and tie them to objectives such as revenue growth and market differentiation, not leave them to IT departments alone.
On the same note, the Nordic countries are not without structural advantages. According to Eurostat figures from 2025, Nordic citizens lead Europe in the use of generative AI tools. Norway ranks first on the continent, Denmark second, and Finland third. All are well above the EU average of 32.7%.
Nordic and Baltic countries have also articulated a shared ambition to lead globally in AI research and applications. In 2025, the Nordic Council of Ministers launched New Nordics AI, a centre designed to coordinate joint efforts across the region. Google and Microsoft are among the early backers, though the amounts contributed have not been disclosed publicly.
Returns lag behind Europe
A separate Deloitte survey drew on responses from 1,742 executives, including 266 from Nordic firms. Approximately 70% of Nordic firms are allocating 10% or more of their IT budget to AI-related efforts, with a quarter allocating more than 20%. Yet returns are taking longer to materialise than elsewhere in Europe.
Fewer than 40% of Nordic organisations expect significant returns from generative AI within a year. In the rest of Europe, over half expect returns within that timeframe. The divide is wider still for agentic AI, autonomous systems capable of executing multi-step tasks. Some 58% of Nordic respondents already using the technology anticipate a timeline of three or more years for significant returns, compared with 37% in the rest of Europe.
Deloitte also found that 43% of Nordic respondents rely on function- or employee-driven, bottom-up identification of AI use cases, compared with 32% in the rest of Europe. Whilst inclusive, this approach can fragment priorities, constrain funding, and slow the shift toward transformational outcomes. The report argues that CEOs and business leaders must actively sponsor AI initiatives and tie them to objectives such as revenue growth and market differentiation, not leave them to IT departments alone.
A bubble in the making?
BCG’s framing is the starkest. Nordic companies’ 2029 impact expectations are two to three times higher than those of global competitors. If the return-on-investment gap persists, BCG warns, Nordic economies could lose significant ground to global and EU competitors.
The region has the ambition, the infrastructure, and a growing share of companies with governance frameworks to measure results. Whether that is enough to close the gap between expectation and return remains an open question. All three reports rely on self-reported executive surveys, and none provides independent verification of the ROI figures companies claim to have achieved.
The BCG report “The Nordic AI Inflection Point: Value Creation or Value Bubble?” was published on 10 March 2026. The Deloitte survey drew on 1,742 executive responses including 266 from Nordic firms. The Nordic State of AI fourth edition was published by AMD Silo AI and AI Finland in March 2025.
