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.
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.
We are living through an exceptional era. The most expensive technology in human history has been handed to us for almost nothing — and that is becoming a problem. When the price tag is invisible, learning doesn’t happen. When it becomes visible, being too late will cost you.
Cold but Fair? Algorithmic Management in the Workplace Algorithmic management promises efficiency, scalability, and data-driven decisions. It often delivers on that promise. The problem is not what algorithms do, but what they typically don’t do.…
Four in five active users adopted artificial intelligence within the past three years, yet fewer than one in four can identify the EU’s main AI law — a gap that researchers warn could expose businesses to unforeseen legal risk.
By the time your organisation has finally settled the question of whether it needs an AI strategy, your employees have in all likelihood already built one. It may not be quite the one you had in mind — and unlike the official version, theirs is already running.
The European Parliament’s battle over AI training data is usually framed as a struggle between Big Tech and creative workers. But the deepest wound may be dealt to languages and traditions that neither side is seriously taking into account.
AI agents are no longer just answering machines. They’re sending emails, executing code, managing files, and operating around the clock. A new red-teaming study suggests that the gap between what these agents are capable of and what they can be trusted to do safely is far wider than most organisations realise.
What happens when an AI gets to know you a little too well? According to several studies, it will flatter you rather than tell you the truth. And the worst part is that it’s been optimised to do exactly that.
Data is more abundant than ever, but trust in it varies. Three out of four executives don’t trust their organisation’s data, and only 10% feel they have mastered its quality. The reason isn’t technical, it’s purely human. We don’t understand where data comes from, how it’s created, and which choices shape it before it becomes the foundation for our decision-making.
