Helping leaders build organisations that can think, decide, and adapt — at the speed the AI shift demands.

— /The wrong starting point

Lead with the opportunity, not the threat

Now that AI is delivering real value, I have observed leaders moving quickly to the same predictable questions: how much headcount can we save? How can we use AI to achieve our current goals faster? Which tools should we roll out first? How do we fit this into the existing yearly portfolio process?

It is understandable that these questions arrive first. But this is where leaders need to stop and think carefully, because these are the questions of an organisation defending the status quo — and in a period of radical change, defending the status quo is the riskier strategy, not the safer one.

There is a name for this pattern. Threat-rigidity research describes how organisations under pressure narrow their information intake, centralise control, and double down on what they already know. It is a well-documented response to perceived threat — and it is exactly the wrong response when the environment itself is shifting underneath you.

The companies that come out stronger after the AI wave will not be the ones that automated the old system. They will be the ones whose entire organisation got better at learning, experimenting, and rethinking how value is created.

So AI shouldn't only accelerate the strategy you already have. It should make you question whether your outcomes, your operating model, and your assumptions about value creation still make sense.

The best strategy in a time of radical change is to optimise for learning and change over optimising for delivery and stability.

— /The core belief

In stable times, you optimise. In changing times, you explore.

In stable systems, you can create a lot of value by executing well. You don't always need much reflection. The machine works, people do their part, and the organisation optimises around what it already knows.

But when the environment changes, execution is no longer enough. The value created by running the existing system well becomes smaller than the value waiting in what hasn't been figured out yet.

In these times, the muscle of curiosity and experimentation becomes the best guide to value: the ability to notice what is changing, question old assumptions, generate new options, and invest in uncertain outcomes.

That is why successful AI transformation requires a change in organisational norms, incentives and behaviours. Not because leaders need to understand every model, tool or technical architecture, but because leadership behaviour and decision-making shape the behaviour of everyone else.

You can prepare your organisation for the storm by fortifying the home, or you can teach them to ride the wave toward more fertile lands. There is real value in using AI inside the old paradigm — but the opportunity cost is immense. Used well, AI can help an organisation become more effective, more adaptive, and maybe even more humane.

— /What I help with

Restoring organisational self-confidence

Most of what I help with is downstream of one underlying problem: an organisation has lost its collective self-confidence. Here is what its absence looks like in practice.

Are people from different roles and functions collaborating effectively around the shared outcome they are stewarding for the organisation? Or are they competing — optimising for their own position, function, career, budget or KPIs?

When organisations get stuck, the blockage is rarely a person problem. It is most often caused by what employees perceive to be the safest possible behaviour inside an environment that has become dangerous to them.

Here is a classic pathology:

• Risk is no longer shared across the company; instead, blame is assigned to the weakest.
• Trust stops moving.
• Decisions and knowledge get hoarded as ammunition.
• Signals get politicised.
• Command-and-control leadership behaviours are reinforced.
• Employee autonomy and discretion deteriorate.

People know what is wrong, but the system makes it suicidal to break the cycle. It is a classic stand-off — everyone armed, no one able to lower their weapon first. My work is to help leaders see the vicious cycle of behaviours — and to create the conditions for turning the ship around, one leadership act at a time.

— /Who I work best with

The leaders who change their organisations are usually the ones willing to change how they think.

The leaders I've helped most, while never perfect, share something in common: they can see themselves. They notice that their own behaviour, attention and decisions are either an impediment to the organisation — or one of its greatest opportunities.

They are not looking for a consultant to win an internal battle for them. They are looking for an outside view that can help them see more clearly, think more deeply, and act with more courage.

They often arrive tired. Not because they have been lazy, but because they have tried hard inside a system that keeps pulling them back into the same patterns. By the time we talk, they already suspect the problem isn't the strategy or the org chart — it's something about how the system, including themselves, keeps reproducing the same outcomes.

I can move this forward, but I need help seeing the patterns I am part of, and the opportunities my own biases hide from me. I value perspectives different from my own, and I want to invite others to change with me.

The leaders I've struggled to help, by contrast, tend to arrive with the answer already chosen. They are looking for someone to help them deliver it. That isn't a moral failing — it's a different kind of engagement. But it's one where change gets inflicted on an organisation rather than led through it, and that rarely sticks, and often has unintended long-term consequences. I've learned to recognise the difference early, because trying to do the first kind of work inside the second kind of mandate doesn't help anyone.

I need you to come in and solve this in the way I have already decided.

— /The bigger ambition

A European, humanist AI transition.

Underneath the work is a larger concern. The AI shift is, I think, going to matter more than the internet — closer in scale to the industrial revolution. Every large-scale transformative technology brings positive change and negative externalities; what we get out of them depends on how we govern our unions, our nations, our companies, and ourselves through the period when the new technology is still soft and shapeable.

AI is a power multiplier. Power multipliers amplify whatever we point them at. If we use AI to expand what humans can do together, the upside is hard to overstate. If we use it to defend our turf, undercut our competitors, and replace people we no longer need, it will accelerate the patterns that are already pulling societies apart.

This isn't an abstract concern. The choice plays out, in small ways, in every leadership team that opens an AI conversation and decides whether to ask how do we cut headcount or what should we now become capable of.

In Denmark, I see a real alternative being lived. We have a society that takes the welfare of its members seriously, and we have companies — many of them — that take responsibility for their employees, their communities, and their impact. They are not perfect, but they are operating from a different starting assumption than companies built around pure shareholder return. That assumption matters more in this transition, not less.

My work is in service of those companies. If they can navigate the AI shift well — not just by adopting the tools but by becoming more effective, more adaptive, and more humane — they become visible examples that other companies can follow. That is how a movement starts. Quietly, by demonstration, in places where people can see it working.

This is the difference I want to help make.