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.
What does AI literacy mean in practice, and how does an organisation meet the EU AI Act’s requirements? In this article, we examine four key components and four concrete actions.
Half of your employees are using AI tools without your permission. One in four knowingly violates company guidelines. Nearly half upload sensitive company information to public AI platforms. Shadow AI, which has become a hot topic, isn’t a hypothetical risk but a reality in almost every company.
Every week, another company announces its bold AI transformation. A few months later, that same company has a pilot project gathering dust, a confused team, and an executive quietly wondering where the budget went. The pattern is predictable. The pain is avoidable. AI can unlock genuine business value — but only if you stop making the same strategic mistakes everyone else is making.
Finnish deep tech companies raised a record €1.6 billion in funding last year. The figure is impressive, until you understand its true meaning. Take away three giant companies and the year was quieter than usual. So the real question isn’t whether Finland can produce industry titans, but whether we can replicate the recipe for success.
AI can make us more efficient, but research warns of a price tag. When working with AI, we overestimate our abilities, our brain activity weakens, and our critical thinking diminishes. The solution is hardly to avoid new technologies, but rather to use them more wisely.
