Nordic AI Index
Research on AI
in the Nordics
The Nordic AI Index and its focused reports track how the largest Nordic companies are turning AI into strategy, leadership and new ways of working. All reports are free to download.
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Nordic AI Index reports
A series of focused reports on how Nordic companies turn AI ambition into change.
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Key signals from executive search · November 2026
Leadership in the AI Era
What AI changes in how Nordic companies select and develop their leaders – five signals from executive search, with insights from Avant Advisors, Compass HR Group, Fairchild Executive Search and JFP Executive Search.
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Main report · July 2026
Nordic AI Index 2026
The full Nordic AI Index 2026 – results, the four dimensions of AI maturity and sector-specific findings.
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Nordic AI Index
The Nordics are uniquely positioned to lead Europe’s next wave of AI transformation. With world-class digital infrastructure, deep engineering expertise, trusted institutions, and highly digital workforces, the region has all the ingredients needed to turn AI into lasting competitive advantage.
The Nordic AI Index is the first transparent and comparable assessment of how the 90 largest companies in Finland, Sweden, and Norway are approaching AI. The Index evaluates public disclosures across annual reports, capital markets presentations, and quarterly results, providing an auditable view of the AI maturity that investors, boards, regulators, and other stakeholders can actually see.
Four dimensions of AI maturity
Together, these pillars capture how AI is being embedded into business models, operating models, leadership priorities, and oversight structures.
Strategy
Strategy measures whether AI is treated as a defining strategic priority. It looks at how AI shows up in the corporate narrative, who owns it at the top, and how visibly capital and partnerships flow toward it. This dimension is about what the company has decided AI means for its business.
Products & services
Products & Services measures whether AI has crossed from internal capability into the commercial offering. It looks at AI embedded in core products, the existence of named AI-led product lines, and the customer evidence behind external AI claims. This dimension is about whether AI is generating revenue and customer value, not just operational efficiency.
Internal capability
Internal Capability measures whether AI has been built into the operating model. It looks at workforce AI literacy, the data and AI infrastructure that makes deployment possible, and the breadth and quantification of internal use cases. This dimension is about whether the company has the people, tools, and operational integration to deploy AI at scale across functions.
Governance
Governance measures whether AI is owned, controlled, and overseen at the right levels of the organisation. It looks at named C-suite AI leadership, demonstrated AI expertise at board level, and the presence of a published Responsible AI policy. This dimension is about whether the company can deploy AI quickly and safely.
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