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AI adoption is now nearly universal among Nordic companies. Yet, despite rapid uptake and substantial investment, AI is falling short of its promise in terms of delivered value, with realized returns that remain strikingly limited: only 4% of Nordic companies report achieving returns of at least five times their AI investment.

This gap between investment and impact is not unique to the Nordics, but it is a growing cause for concern. To better understand the underlying drivers, BCG spoke with more than 300 executive leaders and managers across mid and large cap companies in the region.

The findings reveal a clear paradox. Despite limited AI returns today, Nordic executives express exceptionally high confidence in future value creation. They expect AI to drive revenue growth of roughly 30% and cost reductions of around 25% by 2029. These expectations are significantly higher than those reported by European and global peers, placing the Nordics at the upper end of the ambition curve.

This misalignment between current returns and future expectations risks creating an AI value bubble for the region and therefore demands a rethink of current AI investment patterns. Compared with global competitors, Nordic companies allocate a disproportionate share of AI spending to off-the-shelf tools that layer onto existing processes and deliver incremental productivity improvements. At the same time, they underinvest in transformative initiatives that fundamentally redesign end-to-end workflows and operating models. While incremental use cases do deliver benefits, our research shows that they rarely produce the step-change impact required to unlock the full value of AI and create durable competitive advantage.

Nordics are lagging behind in adoption of GenAI in the workplace

With the rapid emergence of agentic AI, the imperative to move beyond incremental use cases is intensifying. Nordic companies are actively engaging in agentic AI: 54% report experimenting with agents, while a further 24% are observing and planning as the technology matures. However, investment levels remain relatively modest compared with global leaders, raising the risk that Nordic companies capture only incremental gains while competitors move ahead with more comprehensive automation.

Nordic companies clearly believe in AI and are prepared to invest, but our discussions with business executives point to a set of structural constraints—rooted in organizational design, decision-making, and governance—that complicate execution. In particular, the prevalence of decentralized and federated operating models in the Nordics (over 50% of respondent companies) limits clear ownership and execution capacity, while fragmented governance, data constraints, and legacy systems further restrict companies’ ability to scale AI initiatives effectively.

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These barriers are not insurmountable. We see companies successfully overcoming them by applying sharper focus, clearer ownership, and stronger execution discipline—particularly when AI initiatives are anchored in business outcomes and supported by sustained leadership attention. When companies align ambition with prioritization and governance, AI can move from promise to performance.

The Nordics are at a crossroads. Either current investment patterns continue—risking unmet expectations, declining competitiveness, and the emergence of a regional AI value bubble—or ambition and capital are redirected toward transformative AI initiatives that deliver long-lasting value.

The opportunity is real, but the window is narrowing. The choices Nordic leaders make now will determine whether AI delivers lasting advantage or becomes a missed opportunity as Nordic companies lose ground to faster-moving global competitors.

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