Generative AI has become an integral part of our daily lives, in both the private and professional spheres . In the latest Ifop-Talan barometer published in April 2025, the figures are clear: adoption of these technologies is experiencing an unprecedented leap, but divides persist, particularly within companies. Whilegenerative AI is gradually taking root in the personal practices of the French, it's its integration into the professional world that raises questions.
A look back at the key points highlighted by this valuable insight into French people's evolving relationship with generative AI.
Massive adoption... but not uniform homogeneous
By 2025, 45% of French people will be using generative AI on a regular basis. An impressive increase of 40% in just one year, which testifies to the lightning adoption of these tools in everyday life.
However, while young people seem to be at the forefront, with 85% of 18-24 year-olds having already adopted generative AI in their daily lives, generational divides are widening. Adoption remains much lower beyond the age of 35, with only 31% of older people using these technologies.
But these gaps are not just generational. They are also territorial. Île-de-France concentrates a large proportion of users, with 59% of the region's population using generative AI, compared with just 44% in major cities and less than a third in rural areas.
Generative AI in the workplace: proven gains but half-hearted adoption
In the enterprise, generative AI is gradually gaining ground. 43% of working people say they use them in their professional lives, with tangible productivity gains for 2/3 of them. Among the latter, 29% report productivity gains of over 40%.
However, adoption remains far from widespread. Only 9% of employees say that their company makes generative AI available to its employees, and less than half say that their organization has no plans to do so. One of the main obstacles: lack of training. Indeed, 73% of French people believe they do not have sufficient knowledge to take full advantage of these tools. This delay in adoption within companies highlights a significant gap between workers' expectations and companies' ability to deploy these tools on a large scale.
Overcoming the challenges of adapting generative AI: governance and training, key success factors?
Generative AI represents a huge opportunity to improve productivity and innovation within companies. However, to take full advantage of its potential, companies need to overcome several key obstacles.
Data governance is essential to ensure the ethical and secure use of technology. This requires rigorous data management, as well as the adoption of best practices to avoid algorithmic bias and ethical drift.
Team training is also a crucial issue. Employees need to be equipped with the skills they need to use these tools effectively, while integrating the specific features of each business sector. Ongoing training is thus becoming an essential lever for ensuring the digital transformation of companies.
A promising but demanding future for generative AIs
The results of this barometer confirm once again that generative AI has immense potential to sustainably transform ways of working, customer relations and value creation within companies. However, the success of this transformation depends on the implementation of a rigorous integration strategy, including solid data governance and a substantial investment in employee training. The ethical and legal issues associated with these technologies should not be underestimated: they demand constant vigilance. To ensure that the expected benefits are not overshadowed by ill-anticipated risks, the adoption of generative AI needs to be conducted in a thoughtful and supported manner.
Furthermore, the arrival of the new generation on the job market, bringing with it new skills and new expectations, reinforces the urgent need for organizations to adapt their practices. Those who fail to make the transition to training and integrating generative AI quickly could see their attractiveness and competitiveness seriously undermined. From now on, a clear commitment to responsible innovation therefore appears to be an essential strategic lever for building the company of tomorrow.
