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.
Birthday poems. Cake recipes. AI memes. Europeans are using artificial intelligence, just not at work. The technology that promised to transform productivity has become a pastime instead of a tool. And whilst the Nordics integrate AI into their workplaces, southern Europe watches from behind.
In our first article, we showed that AI’s impact will be felt most acutely in office work, not just tech jobs. But awareness alone won’t protect your organisation. The companies and regions that thrive in the years ahead won’t be those with the lowest AI exposure — they’ll be the ones that prepare now. Here’s how to start.
The AI disruption everyone’s talking about? You’re probably looking in the wrong place. New research from MIT shows the real impact won’t hit tech jobs first—it’s already reshaping the office and administrative work that exists in nearly every organisation. This article reveals where AI’s hidden risk zone really is. Our next article shows you how to prepare before it’s too late.
What if young people’s phone phobia isn’t a problem at all, but rather a sign that the workplace is changing? When a third of Gen Z avoid phone calls and half trust AI more than their own manager, perhaps algorithmic management isn’t a threat anymore — but a solution to workplace transformation.
The future of work may not be about replacing humans with machines, but multiplying human capacity through digital twins that work simultaneously across multiple tasks. This transformation promises unprecedented productivity gains, but raises profound questions about compensation, ownership, and labour rights when one worker can do the work of five.
AI was supposed to make knowledge work easier and more efficient. Instead, three-quarters of employees report increased workloads, and nearly half admit they have no idea how to extract the promised productivity gains. What went wrong – and more importantly, how can we fix it?
