Some are openly enthusiastic about AI because it allows them to work faster and more efficiently. True AI ambassadors. Others mainly see the dangers and reject the evolution. And there are people who use AI extensively, without you really noticing.
But who among them will be best prepared for the future? Or perhaps that is not the right question. Perhaps we should first ask ourselves what we actually mean by talent today?
We are used to judging people based on their knowledge, skills, and results. But what happens when technology increasingly helps us to apply knowledge, perform tasks, and produce convincing results?
Should we then judge people better on their ability to use technology and on their ability to handle it wisely?
A good result does not tell the whole story
AI is making it increasingly easier to process information, write texts, and conduct complex analyses. This offers enormous possibilities. But a convincing result no longer automatically proves that someone understands the content or has made the right considerations.
Two people can nowadays deliver the same result, while their knowledge and insight differ greatly. One uses AI to enhance their own expertise. The other largely adopts the answer without thoroughly assessing it.
The difference is not necessarily in the result, but in what lies behind it.
Knowledge and competencies in a different light
Having access to knowledge is not the same as mastering knowledge. And being able to perform a task with the help of AI does not automatically tell us which competencies someone possesses.
That does not mean we should return to the time when everything had to be done independently. Purposefully deploying AI is also a skill. But it does require us to learn to look differently.
Does someone understand what they are presenting? Can they recognise mistakes, make connections, and adjust when reality does not match the proposed answer?
Is the ability to critically assess becoming as important as the ability to produce something?
Probably yes. Because when technology can take over more and more tasks, we also need to think about what we truly want to value in people.
Is it speed? Productivity? The ability to process information and deliver results?
Or do we also value curiosity, critical thinking, creativity, judgement, and the willingness to take responsibility?
These qualities do not exclude each other. On the contrary. They can reinforce each other.
And yet there is a risk that when assessing talent we are too influenced by what is easily measurable or visible. Those who produce quickly seem efficient. Those who present smoothly seem knowledgeable. Those who use the latest technology seem progressive. But are these always the qualities that make a difference in the long term?
The impact of AI on Talent Acquisition?
For attracting and sustainably deploying employees, there is a concrete challenge here. As AI can perform more and more tasks, it is no longer sufficient to assess people solely on their knowledge, experience, or visible results.
It requires a critical look at job profiles, selection criteria, and evaluations. Not every role requires the same AI skills, but every organisation must know which qualities truly make a difference. Not because everything we do today no longer counts, but because the meaning of certain skills changes when technology performs the work alongside us..
This means, for example, that in recruitment we not only assess knowledge and experience, but also investigate how someone reasons, makes choices, and deals with uncertainty.
That in evaluations we do not solely look at the output, but also at the quality of the judgement, the collaboration, and the responsibility someone takes on.
And that in training we not only learn how AI works, but also how we continue to think independently and critically assess its results.
In doing so, we must avoid that the use of AI becomes a new norm that everyone must meet, regardless of the role or the actual added value. Not every task requires technology. Not every employee needs to master the same applications. And not every human skill can be captured in a measurable indicator. The question remains: what does this organisation need, what contribution do we expect from people and how do we recognise if someone can make that contribution?
Talent remains a human endeavour
AI does not have to be a threat to human knowledge and skills. It can actually enhance our capabilities. But that requires us to continue to think for ourselves and take responsibility for what we do with technology.
Knowing how to use AI, but certainly also understanding when it adds something, when it falls short and when and how human judgement makes the difference, is the best preparation for the future.
Because as AI makes more and more possible, it becomes increasingly important that we know what difference we as humans make.
And does this then begin a fundamentally new perspective on talent? Indeed.
What we will soon call talent, is increasingly determined by who you are in interaction with the world and others.
How do you view talent in a labour market where AI can take over more and more tasks?