Insights · Research
Nordic AI Index 2026
The Nordic AI Index assesses how AI maturity is developing across Nordic companies and markets. Through a series of focused reports, it explores the capabilities that determine whether organisations can turn AI ambition into meaningful change – from strategy and overall maturity to talent, leadership and the transformation of work.
Download the report
The report · 2026 edition
Download the report
The full Nordic AI Index 2026 – results, the four dimensions of AI maturity and sector-specific findings.
Get the reportWhy AI maturity matters
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.
Get the report
Leave your details and download the report straight away.
Let’s talk!
Curious what this could mean for your organisation? Get in touch, we’d love to chat.