Imagine your perfect employee: never complains, always in a good mood, rarely makes mistakes, available whenever you want, and never talks behind your back. Such superhumans used to be a fantasy, but with the rise of AI and humanoids, that fantasy suddenly doesn’t feel like science fiction. And that should make us think harder about what we are actually building when we talk about building an ‘adaptive culture’. So who is it that should adapt: the machine to the human, or vice versa?
Today, the hybrid workplace is not primarily a story about where people work, but about who — and what — is doing the work. Humans and machines, working together on comparable tasks. This raises a question: what is the human actually still made for? To answer it, employee wellbeing needs a central place in the “adaptive culture” discussion.
For years, the wellbeing mantra was simple: healthy employees are more productive. It was my mantra too, and still is. But in the age of AI, it may no longer be enough. Productivity is not just the result of wellbeing; for many people, the feeling of being productive is itself what creates wellbeing. Researchers call this the IKEA effect: just as you feel great after assembling an IKEA wardrobe, you feel better having produced something yourself. And that is what AI is taking from us, not necessarily our jobs (that persistent headline may be vastly exaggerated), but the feeling of having done something yourself. Remove that, and you don’t just make work more efficient — you make it less meaningful.
So building an adaptive culture requires investing in human wellbeing. And I don’t just mean physical and mental wellbeing (which are obviously important too). I’m also talking about three other types of wellbeing: professional, social and financial. Together, these three are where the human edge actually lives — in our judgement, our connection, and our sense of fairness. At least, that’s what a large-scale research project between Vlerick Business School and KBC Bank & Insurance shows.
Let’s first focus on professional wellbeing. The shift we are observing is not merely technological; it is a shift in what we value in people. The industrial revolution moved us from craft to knowledge, a shift in trust from “trust me, I am a craftsman” to “trust me, I have expertise.” The AI revolution is a different shift: from knowledge to judgement, or wisdom. What does that mean in practice?
Think of the taxi driver who has the entire street map memorised. AI does that job today, and probably does it better. But the taxi driver who notices that you are new to the city and quietly takes the long way past the highlights? That’s probably the driver that’s adding value. It’s about reading the room. And that requires judgement: the ability to read the business reality, the culture, the person in front of you, and make a decision in full awareness of what is at stake. That requires reskilling people and helping them to embrace a new professional identity. It may sound obvious, but today, those investments are not being made. In fact, research shows that today, the majority of AI investments go to licences and basic prompting training. Very little is invested in helping people build a new sense of who they are at work and what they contribute.
Now let’s focus on social wellbeing. This one creates a paradox. AI gives us something we all secretly crave: data and certainty. Dashboards that confirm we are on the right track. Mood analyses that predict engagement. And then there is our friend, the chatbot, that always agrees with you and will tell you what a genius you are. But there is a risk: the risk that you hide behind the data, become overconfident, and stop listening.
Because AI is so available, so patient, and so agreeable, it is quietly raising the threshold for human contact. Research on intensive chatbot use finds that it leads to increased loneliness and reduced socialisation over time, not because the technology fails, but because it succeeds too well. With AI there is almost no friction.
By comparison, the ordinary mess of a real human being starts to feel more demanding. The hybrid workplace is creating this effect at scale. An adaptive culture is therefore not built on data alone. It emerges when leaders role-model genuine curiosity, seek real input, and keep having real conversations.
But there’s also an underdiscussed element: financial wellbeing. In the AI era, it is becoming urgent for a healthy culture. AI productivity gains are increasingly decoupled from individual effort. If a team becomes twenty percent more productive because of AI tools, the question is: for whom is that gain?
Research predicts that AI will widen pay gaps beyond anything we have seen before. One large consultancy recently gave all its senior partners a twenty percent salary increase after using AI to reduce junior headcount by five percent. The efficiency was real, but the redistribution of those gains is highly questionable. An adaptive culture cannot survive long-term without a felt sense of fairness within the organisation.
So what is the human edge? When we talk about judgement, connection, and fairness at work — and the meaning they create — it can sound like the kind of language that gets dismissed as fluff. But in today’s world of work, doubt, emotion, and imperfection are not inconveniences to get rid of. They are probably the exact things that provide the human edge.
And that edge is cultivated through culture. Not through AI licences or engagement dashboards, but through deliberate choices about how work is designed, how leaders behave, and how the gains of this technological era are shared. And to answer the question I opened with: in a truly adaptive culture, the machine adapts to the human — not the other way around.
