Innovation or disruption? How do major French companies view generative artificial intelligence? Dékuple x OpinionWay unveil their study!

In companies that have integrated or are thinking of integrating AI, it’s notable that the vast majority of their employees are trained in its use. In fact, the study reveals that only 13% of employees and 11% of managers have not received any training at all. This is a damaging finding, given that this technology can be integrated at all levels of an organisation, particularly through the management functions. Training for management committees is essential if digital transformation initiatives are to be effectively steered, a culture of innovation is to be promoted within the company, and acceptance of new technologies by employees is to be encouraged. Decision-makers need to be better equipped to harness the potential of AI to boost their company’s competitiveness and growth.

Recognised as one of the leading companies in the field, the Dékuple Group offers training in Generative Artificial Intelligence (GAI) adapted to all types of company. The goal? Equip their teams with the tools and knowledge they need to make the most of this innovative technology, stimulate innovation within their departments and offer them sustainable competitive advantages.

The strength of Dékuple lies in the constant support it offers its customers, from training to the deployment of IAG projects within their organisations. The Group ensures that all employees are involved in the process of adopting the GAI, by integrating them into a collective and collaborative approach including all components of the company. Dekuple also helps its customers to identify their strategic development areas, both internally and externally, which could lead to the creation of new services or innovative offers enriched by AI.

More than the training courses and budgets allocated to Generative Artificial Intelligence, another striking piece of information emerges from this study, and it concerns human resources. For 82% of the companies surveyed, AI has already led or will lead to recruitment. This shows a clear trend: companies are looking for new skills focused on mastering Generative Artificial Intelligence tools.

However, this picture is qualified by company size. Among large companies, those with more than 5,000 employees, only 43% of decision-makers are planning to recruit specifically for GAI. This significant difference compared to the overall average can be explained by several factors. Larger companies often have greater internal resources, enabling them to train and retrain their existing employees rather than hire new talent.

In addition, internal reorganisation is an important consequence of adopting the GAI. For 63% of decision-makers in large companies, the GAI will require a reorganisation of their structure. This figure rises to 83% when all the companies surveyed are taken into account. This suggests that companies of all sizes recognise the need to adapt their structures and processes to take full advantage of the benefits offered by the GAI.

These figures illustrate the scale of the transformation that the GAI is bringing to the job market. Not only is there a growing demand for specialist skills in generative AI, but there is also a need for organisational adaptation to effectively integrate these new technologies. In conclusion, this technological revolution seems to be driving the development of the job market, encouraging the emergence of new skills and the transformation of organisational structures.

In addition, the study by the Dékuple Group with OpinionWay reveals that 87% of companies have included an GAI budget in their 2024 investment plan and, above all, 65% of them anticipate investing more, aware that the GAI opens up new horizons for them, enabling them to rethink their business and accelerate their development.

Nearly half of companies (48%) plan to spend €5 million or more on integrating the GAI into their organisation, and not without reason, since “Capacity for innovation, generation of new ideas” and “Optimisation and productivity gains” rank first and second in the top five benefits expected from the GAI.

The study warns that some organisations may be stalling in the face of the very rapid advances being made in this technology, since it shows that 33% of companies are not planning to integrate GAI before 2025, and more worryingly, more than one company in three plans to wait until 2026 to implement it, while only 6% have already fully integrated GAI into their organisation. This shows that, despite the general enthusiasm for the technology, its practical implementation is still limited. In addition, 39% of companies have not begun to think about the subject of GAI, or are only at the preliminary stage. This is a worrying figure, as it indicates that almost half of companies may not be ready to take advantage of the benefits of GAI in the near future.

In this context, companies that are reluctant or late to adopt the GAI risk being left behind by their more agile and innovative competitors. However, the good news is that it’s not too late to start moving in this direction. Companies can still catch up by putting in place RMI training and integration strategies, drawing on best practice and working with experts in the field such as the Dékuple Group.

The stagnation of companies with more than 5,000 employees in the area of Generative Artificial Intelligence (GAI) is worrying, as the figures from the study reveal. While only 2% of all companies don’t recognize AI as a genuine revolution, this figure rises to 9% for large companies with over 5,000 employees. Similarly, 1% of companies don’t see how the GAI could impact their business, compared with 6% of large companies. What’s more, while only 2% of companies prohibit the use of GAI tools, this figure rises to 8% among the largest companies.

Where training is concerned, the discrepancy is even more marked. Of all the companies surveyed in the study, 11% of managers and 13% of employees don’t plan any training on GAI, but this figure rises to 25% and 33% respectively for companies with more than 5,000 employees. These figures indicate significant resistance and an underestimation of the importance of the GAI among large organisations. This stagnation could leave them in a weak position in the face of competitors who are more dynamic and open to technological innovation. Large companies that hesitate to integrate these tools could lose competitiveness, as they risk missing out on opportunities for optimisation and innovation.