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Have you finished your studies, or are you considering a career change, only to find that the job market feels unwelcoming?
Applications that go unanswered, interviews that lead nowhere… This goes well beyond a few isolated experiences: recent graduates and career changers are facing real difficulties entering a tight labor market. Unemployment among 15- to 24-year-olds reached 21.1% in the first quarter of 2026, nearly three times the rate among older workers. The picture is similar for career changers: Dares, France’s labor statistics agency, had already estimated that there were 13 job seekers for every vacancy in occupations accessible to people switching careers without relevant qualifications. This imbalance hits those entering a new field without a network or experience particularly hard.
Yet the prevailing—and often alarming—narrative does not tell the whole story. Behind the very real difficulty of landing a job lies a more specific, and ultimately more encouraging, phenomenon. The problem is less a shortage of available jobs than a mismatch between the skills employers want and those most candidates possess.
And among those skills, one category is changing the landscape faster than any other: proficiency with artificial intelligence tools.
A shortage of skills, not jobs
The figures bear this out. PwC’s latest Global AI Jobs Barometer, which analyzes more than a billion job postings across six continents, shows that jobs requiring specific AI skills—prompt engineering, applied machine learning, and advanced tool use—are growing roughly eight times faster than the job market as a whole. Meanwhile, the pay premium for workers with AI skills has now reached 62%, up from the previous year, with peaks exceeding 100% in some sectors.
Another striking finding: companies with the greatest exposure to AI are growing their workforces faster than those with the least exposure. AI therefore does not automatically destroy jobs; instead, it shifts value toward people who know how to use it intelligently. And this demand extends well beyond technical roles: marketing, human resources, logistics and supply chain, sales, project management, development… All these fields are now looking for people who can integrate AI into their everyday work.
Learning AI helps protect your position in the job market
People trained in AI are not just more employable; they are also better equipped to handle changes in the job market. Because the real risk is not AI itself. It is encountering it for the first time when you start a job and being required to use it without ever having had the opportunity to learn how.
In practice, being caught unprepared by AI might mean working in communications and seeing your company introduce a content generation tool overnight, without anyone explaining how to assess the relevance of its output or where its reliability ends. That creates a risk of publishing errors or quickly feeling outpaced by more confident colleagues. By contrast, someone who knows how to guide these tools, assess their limitations, and integrate them thoughtfully into their work becomes an asset rather than someone whose role is vulnerable.
This principle also applies more broadly to personal well-being. A Brookings Institution report, shared by the European Trade Union Committee for Education, highlights that generative AI can support learning when grounded in sound teaching practices, but that unguided use can harm the cognitive and emotional development of people who use it without a structured approach. The same principle applies at work. Learning to use AI thoughtfully also helps protect against poorly managed dependence on the tool.
Asking ChatGPT questions does not make you an expert
This is a trap many people fall into: personal, informal use of AI is sometimes mistaken for a professional skill. According to an Ipsos survey, the proportion of French people who have used a generative AI tool doubled in two years, rising from 28% in 2023 to 51% in 2025—one in two adults. But the same survey reveals a striking gap: only 41% of working people use AI at work, and just 11% do so regularly. Worse still, 76% have received no training in these tools.
So how can you become familiar with AI tools without settling for a little Sunday-evening trial and error? Is using a conversational assistant in your personal life really enough to develop professional AI skills? Unsurprisingly, the answer is no. There is undeniably a significant gap between experimenting on your own and following a structured approach.
Becoming truly proficient in AI certainly involves learning to write precise prompts and refine them iteratively, but above all, it means learning to:
Systematically check the results. A marketing assistant who uses AI to generate social media posts should, for example, always review and verify any figures or statistics in the text rather than publishing them as they are.
Work with the tool rather than trust it blindly. A junior developer can use AI to write code faster, but must still understand every line it produces. Otherwise, they may no longer know how to fix a bug when the tool makes a mistake.
Understand its technical and ethical limitations. An HR intern tasked with screening applications using an AI tool must understand that an algorithm can reproduce discriminatory biases and should therefore never use it as the sole screening method.
Choose tools suited to the task. A junior sales assistant would not use the same tool to write a prospecting email as they would to quickly prepare a briefing before a client meeting.
These are all skills that can be developed, but they cannot simply be picked up by chatting with Claude or Gemini in your spare time.
Why apprenticeship programs are the most effective way to learn AI
This is where apprenticeship programs come into their own and demonstrate their value. Rather than teaching AI purely in theory, disconnected from the workplace, this approach allows learners to develop these skills through real cases, with genuine business challenges and time constraints.
For a recent graduate, it is an opportunity to turn an academic background that may still feel abstract into practical experience that can immediately strengthen a résumé—and, very often, lead to an offer of a permanent job. For someone changing careers, it is a way to make the transition more secure: earning a salary while training, rather than putting working life on hold, while building expertise that can be applied immediately in a role with strong future prospects.
In both cases, the principle is the same: finish your training with more than a qualification—with practical experience and a skill already in high demand.
