Technological change is nothing new for businesses. There have always been periods when tools, systems or entire ways of working have changed. Digitalisation, automation – none of this happened overnight.
And yet the current situation feels different.
The difference lies less in what is changing, but rather how quickly and how much is happening at once. Artificial intelligence and blockchain are not arriving one after the other, but are operating in parallel. And it is precisely this that is bringing many organisations to a point where old patterns simply no longer work.
Today, it is no longer just about making processes more efficient. It is about much more fundamental questions: Who actually makes the decisions now? What is trust based on? And what role does leadership retain when systems start to think for themselves?
Decisions are made where the knowledge lies
To be honest, decisions used to be organised in a fairly straightforward way. Information would flow upwards, be summarised, and ultimately one person would make the decision.
This might have been a department head, for example, or someone like Ju-group leaders, who ultimately bore the responsibility. It was transparent, structured and worked well for many people.
But it also had its limitations.
Today, information often no longer sits ‘at the top’. It is generated directly within the teams. Data is available, analyses run automatically, and many employees have a much deeper understanding of their areas of responsibility than any central authority.
This completely changes the dynamic.
As a result, leadership means less about making decisions yourself, and more about understanding what is actually being decided and placing it in a broader context. This is less tangible but often significantly more demanding.
More control often only looks good on paper
Many companies react to this in a fairly predictable way: they introduce more controls. More coordination, more reports, more loops.
And yes, in the short term this often feels safer. But if you look more closely, something else happens. Processes slow down. Decisions drag on. And at the same time, decisions aren’t necessarily any better. In fact, it creates a sense of control rather than real control.
When responsibility and decision-making don’t align
A pattern keeps cropping up: teams are given tasks, but no real decision-making authority. They work on things, prepare, and analyse, but in the end, someone at the top decides again.
That’s pretty frustrating in the long run. Because responsibility then only exists on paper. And that’s exactly what holds organisations back. Not because people can’t do it, but because they’re not allowed to.
Artificial intelligence is changing the role of leadership
AI takes things a step further. Many tasks that used to take time now happen automatically. Data is analysed, patterns are identified, and suggestions are made.
At first glance, this sounds like a relief. But that’s only partly true. Because the actual work is shifting. Away from analysis, towards interpretation. The results are there, but what do they actually mean? And do they even align with what we want to achieve?
This is precisely where leadership becomes important. Not as someone who knows everything better, but as someone who understands the bigger picture. Someone who might say: “Yes, the figures look good, but that’s still not the right way forward.”
Data helps, but it doesn’t make the decision for you
There’s this myth that data-driven decisions are automatically better. More objective. Clearer.
In reality, it’s rarely that simple.
Data always shows only a snapshot. It depends on how it was collected, what was measured, and what wasn’t. If you rely solely on it, you can easily overlook important things.
That doesn’t mean data isn’t important. On the contrary. But leadership today also means being able to deal with this uncertainty. Recognising where data helps, and where you still have to think for yourself. And sometimes, simply making a decision even when not everything is clear yet.
Blockchain is changing how trust works
Blockchain is a topic that often seems a bit abstract. But when you break it down, it’s actually about something very fundamental: trust. In the past, people trusted organisations because there were established structures. Or people. Or both.
With blockchain, some of that trust shifts to systems. Things become transparent, traceable, and virtually impossible to manipulate. That can be incredibly helpful.
But there is also a downside. Errors are more visible. So are deviations. It’s harder to ‘get by’ with things. And that automatically changes how things are managed too. Less about control. More about clear rules and a functioning framework.
Strategy suddenly becomes really important
The more things are automated, the less everyday life is about individual decisions. And the more it’s about the direction.
The problem is that many managers are still deeply entrenched in day-to-day operations. Meetings, coordination, operational issues, their diaries are full. There is often little room left for genuine strategic work.
And that is precisely where a risk arises. Because without a clear direction, even the best technologies don’t really help. Then a lot gets done, but not necessarily in a meaningful way.
