The Transformation Paradox

For some time now, we have been living inside the same word:

Transformation.

The strange gap in the speed of transformation

Sectors transforming, organisations transforming, professions transforming, skills transforming, leadership definitions transforming... Those trying to catch up with the speed of transformation, those trying to steer that speed, even those claiming to transform the very ecosystem of transformation itself...

There is a lot of motion. Many sentences. Many tools. Many decks. Many plans.

But in all this speed, a person sometimes wants to return to a very simple question:

What strikes me most today is this: everything has accelerated, but not to the same extent become clearer. Information has multiplied, but judgement has not deepened at the same pace. Options have increased, but decision quality has not risen proportionally. Tools have multiplied, but the way of working has not strengthened everywhere.

In fact, sometimes the opposite has happened.

Trying to save time, we drowned in alternatives. Trying to work smarter, we started to think more scattered. Trying to be more visible, we lost sight of what we are actually looking at. Trying to produce faster, we blurred not only what we produce but also why we produce it.

Today the worker is anxious, the employer is anxious, the producer is anxious, the investor is anxious. There is a concern about security. There is a concern about sustainability. There is a concern about how much the job, the knowledge, the role and the value in hand will be preserved tomorrow. If there is this much anxiety in this much speed and this much ambition, we need to turn back and ask again:

In the age of AI: where are judgement and responsibility?

In the age of AI, perhaps the most interesting break is happening here. For the first time, it is not only access to information that is outsourced, but also the verification of that information. People are no longer only asking, “How do I do this?”; they are also directing the question “Is this correct?” to the machine. Information is everywhere—but where is discernment? Where is insight? Where does responsibility sit?

This is not only a technology question. It is also a question of character, working culture, leadership, and governance.

Because the issue is not only that tools are getting stronger. The issue is how much a person can preserve their own judgement.

We hear these phrases very often today: “Think like this person.” “Plan like that framework.” “Write it this way.” “Structure it like this.” “Use that tone.” Of course, there is a productive side to all of this; it can create speed. But there is another risk growing quietly underneath: while we teach these systems who we are, could we also be unconsciously reshaping our own thinking reflexes to fit what they expect?

Because people are no longer only getting answers from AI; they are also re-formatting their own thinking into the structure the AI will understand in order to get those answers. After a while, this becomes more than using a tool. Instead of supporting their thinking, people start formatting their thinking. That is where the real issue begins.

How does the machine know us? Because we tell it. We show it how we write, how we think, how we categorise, what we prioritise, what we find convincing, what we repeat.

This in itself is not bad. But when used without control, it can push a person outside their own mind. After a while, individuals or organisations can fall into this illusion: I produce fast, therefore I think well. I see many options, therefore I am strategic. I have many plans, therefore I am prepared.

Real life does not work like that.

An abundance of plans is not depth of thought

Everyone talks about Plan A. Dig a little deeper and there is a Plan B. Talk a bit more and Plans C and D emerge. But while A is being executed, most of B, C, and D either stay on the table or fall apart in the first heat of implementation.

The problem here is not a lack of planning. The problem is that the abundance of plans is sometimes mistaken for depth of thought.

More plans do not necessarily mean more strategy. More tools do not necessarily mean more capacity. More meetings do not necessarily mean more clarity. More reports do not necessarily mean more visibility.

I see this very clearly in corporate systems, operational structures, and transformation programmes. Because in the field, problems rarely start on the technical side. They mostly start in the way of working. In role ambiguity. In the lack of clarity about who decides what. In those situations where everyone is doing something, yet no one is carrying the whole picture.

Today we are at a similar threshold again.

Everyone talks speed; few talk about how we think

Everyone talks technology. Everyone talks AI. Everyone talks efficiency. Everyone talks about preparing for the future.

Far fewer talk about this: In this speed, how will the organisation think? Among this many alternatives, on what basis will it decide? Where will experience sit? What about merit? How long will collective intelligence survive? Where exactly will the human being remain at the centre?

I believe this is where the real issue lies.

Because we live in a time where everyone seems to be an investor, everyone a founder, everyone a strategist, everyone someone who knows everything. Titles multiply, claims grow, narratives shine. But we often forget the most basic thing: to know ourselves.

To know what we truly know. To acknowledge what we do not. To distinguish what we have learned through experience. To notice what we merely heard and are now repeating.

The value of experience that has paid the real price

This is why I believe more than ever that we need to return to experience. Not only in terms of seniority; but to experience that has paid a real price, to minds that have been in the field, to the discipline that knows what it means to deliver outcomes, to the maturity that can read why something did not work not only from theory but also from practice.

Because those who belittle collective intelligence lose. Those who dismiss experience as unnecessary lose. Those who see merit as an ornament of the old world lose. Those who are fascinated only by speed, sooner or later, lose as well.

Transformation is not only about bringing the new in. It is also about knowing what to preserve. It is not about looking better with every new tool, but about becoming more solid. Not about using every new buzzword, but about building a way of working that the organisation and its people can actually carry.

That is why, in my view, the stronger side today is not the one that shouts the loudest, shares the most, or uses the most concepts. The stronger side is the one with its feet on the ground. The one that does not let its speed outrun its mind. The one that sees experience as capital, not as arrogance. The one that uses AI not for show, but to create real value.

As tools get stronger: order and character

AI can genuinely save time. It can genuinely generate options. It can genuinely accelerate. But if there is no order, no filter, no clear responsibility, it only produces faster chaos. If an organisation’s way of thinking is weak, no tool can fix that on its own. If there is no leadership reflex, the power of the tools only dazzles for a while. If there is no working discipline, the promise of efficiency collapses at the first pressure.

So I believe there is a more important question than whether we are in the first, middle, or last phase of transformation:

Because that is where the real separation will happen.

Those who will shape the coming period will not only be the ones who learn new tools quickly. They will also be those who can hold this balance: speed with judgement, efficiency with responsibility, technology with character, information with experience, novelty with order.

Not thinking faster—but thinking more solidly

The future I see is not only a more technological one. It is also a future in which we will be forced to be more selective. A future in which we will have to be more discerning. A future in which we will have to stop mistaking everything that shines for progress.

Perhaps the most critical need of this era is not to think faster, but to relearn how to think more solidly.

Not to know more, but to distinguish what we know and why. Not to make more plans, but to build a way of working that will stand when execution starts. Not to talk more, but to place the right words in the right place.

Because in the end, the difference will again be made by people. But not just any people. Those who can grow without losing themselves. Those who are not swallowed whole while learning. Those who do not fall apart as they speed up. Those who do not belittle experience. Those who keep collective intelligence alive. Those who do not give up on merit.

This, I believe, is exactly where the truly value-creating side of transformation begins.