For years, the conversation about artificial intelligence has mainly been about technology. What can AI do? Which jobs can it take over? How intelligent will it become? I think the conversation is about to become much more personal.

For decades, we have trained human beings to fit into systems: to follow processes, meet targets, increase productivity and perform. Somewhere along the way, many of us began serving the system rather than the system serving us.

And now the machines have arrived.

Machines that can increasingly do the very work we trained ourselves to do. So the question is no longer only what AI can do. But what will AI mean for me?

The International Labour Organization estimates that one in four workers worldwide is already in an occupation with some exposure to Generative AI. In high-income countries, that rises to 34%. The ILO expects transformation of jobs to be more likely than complete replacement.

PwC's 2026 Global AI Jobs Barometer points in the same direction. Skills in the most AI-exposed jobs are changing more than twice as fast as in the least exposed jobs. In the United States, highly AI-exposed junior roles are already seven times more likely to require traditionally senior skills such as leadership and strategic thinking.

Something fundamental is happening.

We spent decades teaching humans to work like machines. Now that machines can increasingly do the work, it may be time to let humans become human again.

Ronald, Founder Transformation Nomads

What are all these people going to do?

Recently this became very personal for me. For many years I worked as an executive director in and around the City of Amsterdam. The City has now announced a planned reduction of 2,500 FTE as part of its 2027 budget.

What are all these people going to do?

Behind those positions are human beings. People with families, mortgages, experience, ambitions and an idea of what the coming years of their lives would look like.

At the same time, there is another reality we shouldn't ignore. Our present way of working is already making many people ill. TNO calculated that work-related sickness absence cost Dutch employers €8.3 billion in continued wages in 2023. €4.9 billion was attributable to psychosocial workload such as work pressure and undesirable behaviour. Burnout-related complaints among employees increased from 13% in 2015 to 19% in 2023.

So on one side we worry about people losing their jobs. On the other, many of the people who still have jobs are becoming exhausted doing them. Maybe AI isn't creating the whole problem.

Maybe it is exposing a problem that was already there.

We taught humans to behave like machines

For decades, we have organized much of working life around productivity, processes, targets, procedures and measurable output. We measure whether people contribute enough to the system.

KPIs. Productivity. Efficiency. Utilization.

But how often do we ask whether the system contributes enough to the human being? It's us, human beings who create these systems in the first place. Yet somewhere along the way, many people began serving the system rather than the system serving them.

And now the actual machines have arrived. AI can calculate, compare, analyse, write, translate and process information at a speed no human being can match. We can respond by removing people, increasing output and making those who remain run even faster. Or we can ask a radically different question:

Could this become a new liberation of workers?

Not liberation from work. Liberation from the idea that our value as human beings lies primarily in our ability to function like machines.

You are not your job

Listen to how we introduce ourselves: I am a lawyer. I am an accountant. I am a civil servant. I am a director. But you're not.

You work as a lawyer. You work as an accountant. You work for a municipality. You work as a director. Your profession is something you do. It is not who you are. That distinction has become increasingly important to me through my own journey and my work with other people.

I see the human being as a free spirit having a human experience: able to learn, imagine, create, love, choose and change direction. You don't have to share that belief. But you can ask yourself what remains of you when the title on your business card disappears.

If you have spent twenty years identifying yourself with a role, it is understandable that technology taking over part of that role feels threatening. But AI isn't taking away who you are. It may force you to discover that you were always more than what you did.

And then comes the real question

Suppose AI does liberate us from increasing amounts of repetitive, administrative and analytical work. Then what?Finding another job is one answer. But underneath “What should I do next?” sits a much older question:

What is my purpose in life?

For most of us, working life makes it possible to postpone that question. We get up, go to work, earn money, build careers, pay mortgages and fulfill responsibilities. Then something changes.

A job disappears. A company restructures. AI takes over part of your expertise. You become ill. Or you simply wake up one morning and realize that the life that works perfectly well on paper no longer feels like yours. And suddenly the question is there.

What am I actually here to do?

AI can analyse your CV, identify growing industries, compare your skills with vacancies and suggest a hundred possible careers. But it cannot decide what gives your life meaning. That answer has to begin somewhere else.

This is where Human Sustainability Intelligence begins

At Transformation Nomads, we don't tell people what their purpose is. We help them look for their own answer. That is why our 3-Day Discovery starts by going inward. Before asking What should I become next?, we ask:

Who am I?

What matters to me? What gives me energy? What did I learn to want? What am I afraid of losing? Which choices are really mine, and which belong to the expectations and systems around me?

Then we look at the reality around you: your work, relationships, responsibilities, opportunities and constraints.

And finally we look outward and ahead, using external intelligence and Early Warning Artificial Intelligence™ to examine developments that may affect the direction you are considering.

Inward. Around you. Ahead.

AI is part of that process. But AI doesn't get the first word.

You do.

Maybe we need different measures of progress

This is also why Human Sustainability asks different questions of organizations.

Alongside the Carbon Footprint, what about our Humanity Footprint?

Alongside Key Performance Indicators, what about Human Fulfilment Indicators?

And alongside economic and organizational goals, what are the Real Human Goals all this progress should ultimately serve?

Technology should serve human beings. Systems should serve human beings. Our economies should ultimately serve human beings. Not the other way around. The AI revolution gives us an extraordinary opportunity to reconsider that relationship. Because maybe the most important question of the AI age will not be: what can machines do?

It will be:

If you no longer have to spend your life behaving like a machine, what do you want to do with your life?

And that may lead us back to one of the oldest questions humanity has ever asked:

Who am I, and what am I here to do?

Maybe it is time to find out.