AI is changing how we work. But those who only look at it as an efficiency tool are missing the point.
What is really shifting is how value is created. Which tasks are still done by people. And what skills are needed to do so. This is not an abstract debate; it is already happening in things like logistics planning, financial analysis and engineering projects.
According to the High Council for Employment (HRW, February 2026), 43% of Belgian jobs are highly exposed to AI. This does not mean that these jobs are disappearing, but rather that their content is changing. At the same time, 35% of Belgian enterprises already use at least one AI application today. An increase of 20 percentage points in two years. Things are moving fast.
How is AI changing the nature of work?
Historically, with every technological wave, repetitive tasks were automated first. That pattern is repeating itself. Today, AI not only supports administrative processes, but also increasingly plays a role in data analysis, planning, documentation and standard communication.
The HRW report shows a clear dichotomy. Managers are the most exposed to AI (84%), but there technology mainly has a reinforcing effect. In administrative functions (79%), the impact is more direct: AI effectively replaces tasks there. Work therefore shifts from performing to interpreting and judging.
The real shift is deeper. In a world where AI can produce almost anything, the demand is shifting from “Can you make something?” to “is this the right problem to solve?”
Everyone gets access to the same tools. The difference then lies in who asks better questions, makes sharper choices and can and dares assess output critically. That is where the new lead lies. This is not a doomsday scenario, but an opportunity. Organisations that invest in thinking skills, judgement and AI literacy today are building a sustainable lead. Technology then becomes not a substitute, but an amplifier of human talent.
Who else teaches our start-ups critical thinking?
There is one question that is asked remarkably little in the AI debate. What happens to young employees who start their careers in a highly automated environment?
Routine tasks used to be our school of learning. Performing them taught us how to structure, recognise mistakes, see patterns. If AI performs those tasks from day one, that practice space disappears. We already notice this in conversations with Flemish SMEs. The question is no longer just ‘who can work with AI?’ but also ‘who can critically evaluate AI's output? The latter is a skill to be learned and this requires an environment that consciously facilitates that.
AI in recruitment: faster and more targeted
AI is also changing recruitment and that offers real opportunities. CV screening goes faster. Vacancies become more targeted. Planning processes are more efficient. But the added value goes beyond speed.
The fundamental shift is another: from degrees to skills. AI can recognise patterns that people are missing: hidden competences, transferable skills, potential that is not visible on paper. That opens doors for candidates who were previously left out, and gives organisations access to a wider talent pool.
What technology can't do: sense motivation. Assess cultural affiliation. Understanding why someone wants to make a particular move. Good recruitment requires more than data. It requires insight and experience and that remains human work.
Belgium is leading the way. But is that enough?
On 11 February 2026, the HRW published the report “Artificial intelligence in the Belgian labour market”.
The conclusion is clear: Belgian companies and workers are rapidly embracing AI. But a shortage of digital and AI skills, especially among young people, is inhibiting widespread adoption.
Belgium is accelerating technologically. Only our skills do not always follow at the same pace. Exposure to AI is high, across almost all job levels. Yet not everyone feels prepared for what that technology means concretely for their job. So the core challenge is human, not technological. Without targeted investment in digital skills, critical thinking and judgement, a structural gap looms.
The good news? The willingness to learn is there. HRW therefore advocates a clear AI skills strategy and anchoring responsible AI use in our economy. The real question is not whether AI is changing our labour market. The question is whether we invest in people as fast as we invest in technology.
Transparency and regulation: a new reality
In addition to technological and organisational questions, regulation plays an increasing role. Algorithms learn based on historical data. When that data contains existing inequalities, they can be unintentionally amplified.
Europe has therefore made clear choices. AI applications in recruitment are considered high-risk. From August 2026, organisations must be able to demonstrate how their systems work, who bears ultimate responsibility and how possible biases are controlled. Transparency and human oversight are no longer recommendations, but requirements.
In a labour market where talent has freedom of choice, trust is a strategic advantage. Organisations that communicate clearly about their approach strengthen their credibility.
Who is positioning themselves most strongly?
Wages in AI-exposed positions are already rising faster in Belgium. The market rewards those who use technology as an enhancer, not those who have the most of it.
What we see in Flemish SMEs doing well: they choose consciously. They don't implement everything at once. They invest in people alongside tools. They communicate openly about how AI plays a role in their processes.
AI is structurally changing the labour market. But trust, collaboration and the ability to ask the right questions remain the decisive factors. Today more than ever.
