AI Maturity in Scandinavia
How mature are Scandinavian organizations in their AI efforts – and what distinguishes experimentation from real business value?
From AI Experiments to Measurable Business Value
The use of AI is increasing rapidly in Scandinavia, but few companies actually achieve clear impact. What is often missing is integration, governance, and the use of AI in decision-making. This report shows where organizations are succeeding – and what distinguishes those creating value from those stuck in the pilot phase. Would you like to see where your organization stands compared with the rest of Scandinavia?
About the report
The AI debate is marked by high ambitions and rapid investments. At the same time, many companies feel that the actual impact is failing to materialize. This survey was developed to provide a more realistic picture of where organizations actually stand in their AI efforts. The report maps maturity across strategy, technology, value creation, and governance – and identifies three key gaps that explain why AI often fails to deliver the expected value. The result is a Scandinavian benchmark that gives leaders a better foundation for prioritization and future investments.
Key figures
50%
More than 50% measure impact ad hoc or not at all
7%
7% report significant value from AI investments
38%
38% do not know whether the organization has a plan for the AI Act
Key findings from this year’s report
Three structural gaps explain why AI activity is not being converted into the expected business value.
Industrialization: AI adoption is increasing faster than its integration into processes, systems, and decision-making. Many organizations use AI as a support function, but few have integrated the technology into their core operations.
Value creation: Investments and activity are increasing, but impact is rarely measured. Without clear goals and follow-up, the value remains local and project-based.
Governance: Leadership, risk management, and compliance are not keeping pace with development. Roles, responsibilities, and regulatory readiness are often unclearly defined.
Kosovare Olluri, PhD, Head of ML & AI
“Based on my experience from both the public and private sectors, I see that value creation only happens when data is integrated into decision support. When information can flow throughout the organization and be linked to relevant KPIs, AI can begin to deliver lasting business value. This is also clearly reflected in this year’s report – where integration and governance create measurable impact.”
