The AI revolution is a leadership task
Artificial intelligence isn't just a new tool. It's a new working capacity that challenges roles, processes, and how we organise. That's why AI is a leadership task — and why the work has to be rethought together.
Most of us can feel it. Some go further and call it the beginning of a new industrial revolution — one that doesn’t just introduce new technologies, but radically changes how our societies and our workplaces are organised. In a very short time, AI has gone from being a tool that could help with narrow individual tasks, to something that can increasingly take part in the work itself — not as an employee with judgement, but as a real working capacity, an agent, that can take part in processes we’ve until now treated as purely human.
And yet, in most organisations, AI is still being treated as the same type of information technology we all know — and therefore as a competency question for the individual employee and manager. We send people on courses, we test out a few of the tools, we write a prompt guide, we measure whether our developers are coding faster — and then we hope the value follows on its own. It probably will, to some degree. But it will follow on the terms of your current organisation. And your current organisation wasn’t built for AI based technologies. So the question isn’t how to teach employees to use AI. The question is how leaders help the organisation rethink the work AI is going to be part of.
The question isn’t how to teach employees to use AI. The question is how leaders help the organisation rethink the work AI is going to be part of.
The work has to be rethought, not just sped up
You’ve probably heard people say AI isn’t delivering the return on investment that was promised. If you lead an organisation with a real potential to use AI in its work, here is food for thought.
Leadership sets roles and responsibilities, the larger workflows and structures of an organisation. That puts you, as a leader, in a unique position when it comes to realising the potential of the new AI technologies. And I’ll go further: if you aren’t actively thinking about how to realise that potential in your own organisation at least a couple of days a week right now, you are most likely falling behind.
If you aren’t actively thinking about how to realise the AI potential in your organisation at least a couple of days a week right now, you are most likely falling behind.
A shift in the leader’s role
We’ve entered a period where technology is reshaping society at an explosive pace, and the leader’s role has to adapt. Stability and efficiency still matter for companies with a strong product and a stable market — but a serious share of your time and attention should now go toward how the company gets into the new AI era well, and quickly.
Does that mean the leader has to have all the answers, be an AI expert, and redesign the organisation from the boardroom? Quite the opposite. Of course leaders at every level need to make the relevant decisions about organisational change. But when the rate of change is as high as it is with AI right now, the most effective way to lead that change is to work openly and inclusively across the layers and silos of the organisation.
We all know that is hard. Most of us have designed our organisations with incentive structures that keep people inside their narrow remit. And that’s exactly where the leader has to wake up and change the script about what the best behaviour in the organisation looks like — because it has changed. The old incentive structures, roles, and workflows were designed for a time before AI agents. Companies that carry on as if nothing has changed — or that hope AI is just a tool that creates value without changing how the company is organised — are in for a rude awakening.
Once that’s understood, the next question is: so what do we do? And here is where the brave and effective leader can say to their people: “We’re going to have to figure this out together, because no one can predict how big a change AI brings to our society over the next ten years.”
Does that mean the leader has to have all the answers, be an AI expert, and redesign the organisation from the boardroom? Quite the opposite.
Start by understanding what the tool can do — then redesign the work together
If you try to lay a new AI logic on top of existing work without understanding what the technology can actually do today — and what it most likely will be able to do soon — you’ll be in trouble before you know it. And if you don’t involve the people doing the work day to day, you’ll typically get something that makes sense on slides but not in reality. It’s the employees who know where the work breaks down, where quality comes from, where the friction is, and where the real opportunities are. Leadership’s job is to set direction and frame the work, and then redesign it together with the people who know it from the inside.
Fear is the biggest barrier — not the technology
This is where the deepest risk lies. If you’ve already convinced yourself and your colleagues that AI has come to take your job, or your people’s jobs, that becomes a self-fulfilling prophecy. We all know that fear spreads in groups — you don’t have to look further than a football team defending a lead in a do-or-die match. When uncertainty rises, people start protecting their own patch instead of solving the problem together.
It is exactly in those situations that a good leader makes a difference. Under change, fear of losing control is your biggest enemy, because it kills personal initiative and the ability to experiment with what is changing. So as a leader you have to find the places where you can loosen the reins, give your organisation back the childlike joy of trying things, and reward experimentation and initiative over delivery and precision. Your organisation, whether it wants it or not, has entered a period of such high change-rate that the strongest, most controlled, most finely-tuned organisation is not the one that wins. The one that wins is the most adaptable and the most collaborative — the one that dares to challenge the status quo, and that has time, space, and budget to reinvent roles, processes, value streams, and structures.
Under change, fear of losing control is your biggest enemy, because it kills personal initiative and the ability to experiment with what is changing.
The right question
The organisations that succeed with AI don’t start with the tools. They start with the work and the people doing it. They don’t only ask “how do we use AI?” They ask, more importantly: “What could the work, and the organisation, look like in an AI future — and how do we start that together?”
That is a harder task. But it i