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Finland switches off last analogue landline calls, ending 140-year copper era

  • by Martti Asikainen

Elisa, the country’s last major operator running a nationwide copper-wire network, marked the transition with a live call between its chief executive and the head of Finland’s transport and communications regulator. A few thousand connections remain in service through smaller local operators.

Woman sitting with laptop on the Senate Square in Helsinki

Finland aims to run its entire public sector on AI by 2031, top finance official says — but researcher calls the plan unrealistic

  • by Martti Asikainen

A permanent secretary at Finland’s Ministry of Finance has told Helsingin Sanomat that the state, municipalities and regional health authorities will move to an AI-based operating model within five years, targeting a 20% productivity gain. An AI researcher has since challenged both the figure and the feasibility of the plan.

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Why AI Adoption in Finland Isn’t Becoming Business Value

  • by Martti Asikainen

Let’s state the fact. Finland is using AI. It just isn’t profiting from it yet. Across the Nordic region, 79% of organisations report efficiency gains from AI — but only 18% report revenue growth. That gap is not a technology problem. It is an organisational one.

A photorealistic editorial photograph illustrating the AI aggregation paradox. In the sharp foreground, an individual employee's hands type rapidly on a laptop keyboard displaying glowing lines of programming code and data matrices, symbolizing high task-level productivity. The surrounding corporate office environment, containing rows of empty boardroom chairs and dark minimalist architecture, is completely out of focus with a heavy bokeh effect, representing how micro-level gains remain isolated and fail to translate to the wider organisation.

Finland has moved beyond AI curiosity. Now it must prove it can scale

  • by Martti Asikainen

Finnish companies are adopting AI at a faster pace than ever. But adoption and impact are not the same thing. Drawing on four primary data sources — including FAIR’s own consultancy findings — this article examines why the gap between AI activity and measurable business value persists, and what it will actually take to close it.