Rapid adoption of AI by Generation Z
The French Generation Z has just reached a historic milestone: barely into their working lives, they have already embraced generative artificial intelligence tools. Nearly nine out of ten young people say they have tried them at least once, whereas less than half of the French population across all age groups can say the same; the generational gap is undeniable and propels 16-25 year olds to the rank of "first natives" of AI in France. This adoption is not merely symbolic: 73% of those under 25 connect to ChatGPT or similar platforms at least once a week, and a quarter do so almost daily, demonstrating its deep integration into their digital routine.
Beyond frequency, the range of uses reveals a surprising pragmatism. For this age group, AI is primarily a learning tool: 88% use it to search for information or assimilate new concepts; three-quarters use it to write emails, CVs, or cover letters; and the same number activate it out of simple curiosity or for fun. Next come homework help, psychological support, multimedia creation, and then more technical uses such as programming (33%) or website and application design (31%). A slight gender bias is observed: 40% of men report coding with AI, compared to 24% of women.
This omnipresence is coupled with a very strong perception of usefulness: 82% of young people consider these tools useful in their daily lives, and the intensity of use amplifies this phenomenon—among those who open AI every day, 79% find it "very useful." In other words, the more familiar the tool becomes, the more indispensable it is perceived: a virtuous circle that fosters adoption and accelerates the learning curve over the weeks.
However, optimism is not universal. When asked about the arrival of AI in the workplace, 53% primarily see the potential for new jobs, while 47% fear the disappearance of certain positions. Societal views remain divided: 60% anticipate a positive impact of AI on society, but 40% foresee potentially negative effects. This tension translates into a stance of "realistic opportunism": Generation Z does not downplay the risks, but nevertheless chooses to position itself among the potential winners.
This strategy is clearly reflected in the attractiveness of AI-related careers: 70% of 16-25 year olds consider these positions appealing for their professional future, and 52% already imagine themselves working in them one day. A third even know the precise titles and responsibilities of these new professions, indicating that the discussion is not limited to media hype. Within the field, interests are divided between technical infrastructure (32%), data science (25%), business integration (23%), and ethical or regulatory considerations (19%), illustrating the emergence of a hybrid culture that blends hard skills with critical thinking.
Training is therefore a central issue. More than half of young people know that specialized AI schools already exist, and, more importantly, 68% would be willing to undergo training: either through a short course to master AI as a work tool, or by enrolling in an in-depth program to become an expert. The main motivation remains the acquisition of skills considered key for the future (66%), followed by the search for a competitive advantage in the job market (52%) and personal curiosity (50%). As for obstacles, ethical risks are the most prominent (43%), ahead of cost, duration, and uncertainty about career prospects.
The moral dimension is non-negotiable: 85% of respondents demand that all AI training include an ethical and societal component, demonstrating a keen awareness of the issues of bias, transparency, and accountability. In other words, to convince this generation, schools and organizations will have to combine technical excellence with a framework of values, or risk generating mistrust or disengagement.
Ultimately, a new dynamic is emerging: AI is no longer seen as a mere trend, but as an essential driver of employability. Young people are betting that mastering these technologies will give them a head start, provided they don't sacrifice ethics for the sake of performance. For those involved in training and innovation, the challenge is clear: to offer flexible, financially accessible pathways firmly grounded in algorithmic governance. Seizing this opportunity means supporting a generation already convinced that its future will be shaped—and built—with artificial intelligence.
To learn more: read When AI becomes the new confidant of young people et AI, an opportunity for equal opportunities.