For decades, the first job functioned as a trade school: simple tasks, lots of repetition, and someone with experience nearby. Artificial intelligence is starting to change that, and it doesn’t do so by immediately destroying jobs; it does so by stopping the hiring process altogether.
This is a change that directly impacts the hiring and employability of young talent. It’s not a prediction for ten years. The first data already show this, and what’s at stake is not just today’s young workforce, but the leaders that organizations will need tomorrow.
What the data say
The most cited study comes from Stanford. The Digital Economy Lab of Erik Brynjolfsson analyzes ADP payrolls in the United States since the launch of ChatGPT. Its latest update, with data up to June 2026, shows that employment among workers aged 22 to 25 in occupations highly exposed to AI is 19 % percent below what would be expected. % A year ago the gap was 15 percent. Among experienced professionals, there is no comparable gap in hiring, not in departures.
PwC's Global AI Jobs Barometer 2026 adds another piece. Entry-level positions most exposed to AI are seven times more likely to require senior-profile skills, such as leadership, creativity, or direct interaction with people. These «senior» entry positions have grown by 35 % since % 2019, while traditional entry positions have fallen by 10.
In Spain, the Fedea and BBVA Research Quarterly Labour Market Observatory points in the same direction. Employment in occupations exposed to AI continues to grow, but offers for junior programmers have fallen by about 33 %%. The entry barrier is narrowing faster than the overall employment figures reflect.
Why it happens
The explanation is almost mechanical. The tasks that a junior is tasked with are the ones that AI absorbs first: drafting a first draft, classifying data, reviewing documents, preparing a standard report. Fedea’s own report recommends looking at the tasks rather than the job titles, because automation comes from specific activities.
What AI does not absorb is the knowledge that is learned by doing. Stanford sees this in its data: the use of experienced professionals has grown in positions that depend on tacit knowledge, which is acquired through practice and from someone who teaches. This is exactly the knowledge that a junior never gets if they do not enter.
The result is a paradox. Those who are starting are being asked what was previously asked of those who had been in the business for five years: judgment, a vision of the business, and the ability to build relationships. But the tasks that built that judgment are being taken away from them.
Without a grassroots base, there are no leaders
The most serious effect of this slowdown in young recruitment won’t be seen this year, but within five or ten years. The managers of 2035 are the juniors who will enter, or not enter, in 2026. If the base of the pyramid shrinks, so will the pool from which specialists and team leaders will emerge.
People are already perceiving this. In a survey by Talogy of 207 HR, talent acquisition and L&D managers, % 78 declared themselves concerned about the long-term loss of critical leadership skills. Their conclusion is that teaching people to work with AI tools is not enough: critical thinking, adaptability, and collaboration must be deliberately developed from the start of the career.
Put another way: saving today on entry profiles can end up costing a lot tomorrow in terms of managerial talent.
What organizations can do
The answer is not to stop AI, but to redesign how the craft is learned when the usual tasks are no longer available. Four levers:
- Mentoring senior-junior as a form of work. Pairs that work together on real cases, not parallel training. This is the way to transmit the tacit knowledge that no model comes with as standard.
- Learning by doing, with AI inside. The junior uses AI, but accompanied by someone who teaches them to question what they receive and to decide what to accept and what to sign up for.
- Rotation and internal mobility. Traveling through various areas builds the business vision that is required from day one.
- Development of human skills from the very beginning. Critical thinking, communication, and the ability to relate cannot wait for the first promotion: they are exactly what the market demands already at entry level.
There is an additional effect: mentoring works in both directions. The juniors usually come with more ease with AI, and the seniors bring expertise. When they come together, they learn from each other.
The conversation that is missing
At the European School of Coaching, we have been supporting people and teams for more than twenty years, and we see this moment with a mixture of concern and opportunity. AI can do many tasks, but the craft is still learned in conversation: the kind of conversation where someone asks a question, listens, and helps another think better.
That’s why we believe that the employability of young talent is not solved solely by technology or hiring. It is solved by leaders who know how to support others. Organizations that turn their senior employees into mentors, and their managers into coach leaders, will be the ones that will continue to have management talent in ten years’ time.
The question for every company is simple and urgent: if AI is already doing the tasks you learned to do, how will those who come in today learn?
Sources
- Stanford Digital Economy Lab: The employment gap for young people in occupations exposed to AI reaches 19 % (August 2026)
- PwC: 2026 Global AI Jobs Barometer (June 2026)
- Qué!: report by Fedea and BBVA Research on AI and employment in Spain (September 2026)
- HR Director: Talogy survey on AI, entry-level employment and future leadership
