When I ask people in organisations what worries them most about AI, I always hear the same thing: "Will I be replaced?" That is the wrong question. The right one is: what will make me irreplaceable?
I have been speaking about this for years – at Volkswagen, Siemens, Microsoft, Adidas. And what strikes me every time is this: the answer does not lie in new skills. It lies in old ones. In skills we perfected as children, before the education system, career paths and performance reviews systematically trained them out of us.
This is what I call the KIDULT thesis: what makes us irreplaceable in the age of AI is not what we have learned along the way. It is what we have lost.
1. The ability to ask the stupid question
Children do not ask questions because they are brave. They ask because nobody has yet taught them that some questions are stupid. A four-year-old asks "Why is the sky blue?" without fear of the reaction in the room. A board member in a meeting does not ask that same question – even though nobody in the room knows the answer.
AI optimises on the basis of existing data. It answers questions, it does not ask them. More precisely: it cannot ask questions that lie outside its training data.
The decisive human advantage is not delivering better answers. It is asking the questions nobody else asks.
Those who can formulate precise, unconventional questions determine where AI thinks. Prompt engineering is only the technical surface of that. The deeper competency is the ability to question the problem itself.
2. Holistic thinking – seeing the bigger picture
Children connect things that adults consider unconnectable. AI systems are specialised. The service technician who becomes a consultant because predictive maintenance data allows him to identify problems before the customer notices them – that person needs holistic thinking. No system can do that for him.
3. Intuition – the signal before the reason
AI can provide any justification for a decision. What it cannot do: recognise the signal that comes before the reason.
AI optimises. Intuition navigates. In a non-linear world we need both – but only one of them is machine-made.
4. Real resonance – knowing the person behind the data
AI knows behavioural patterns. What it cannot do: understand why someone hesitates. What lies behind a silence. In a world where AI knows all the arguments, human resonance becomes the decisive differentiator. Not what someone says. How someone listens.
5. Beginner's mind – seeing the problem anew
The Zen concept "Shoshin" describes the ability to approach a topic as if for the first time. Children have this automatically. AI always confirms what its training data has established as a solution. The organisations that will lead in ten years are those where people can see a problem as if it were the first time.
What does this mean in practice?
These five skills are not innate talents. They are trainable. And they are suppressed by exactly what we call education and career development: delivering answers instead of asking questions, displaying expertise instead of preserving beginner's mind.
The KIDULT approach
KIDULT is not nostalgic. It is the next developmental step: combining the radical curiosity of the child with the experience and judgement of the adult. What makes us irreplaceable in the age of AI is not something we learned. We unlearned it. The good news: unlearned skills can be reclaimed.
This topic is central to the KIDULT keynote. Enquire directly →