What indicators distinguish French companies that are progressing from those that are stagnating in 2025-2026? Two measurable variables emerge from recent data: the rate of AI adoption and the ability to deploy these technologies in non-technical functions. Understanding these gaps helps to identify the real priorities for success in today’s business world.
AI Adoption in Business: The Numerical Gaps Between 2023 and 2025
The tripling of AI usage in two years is the most significant development for SMEs and large companies. According to Insee, reported by Les Échos in August 2026, 18% of French companies with at least 10 employees used AI in 2025, compared to three times less in 2023.
At the European level, Eurostat and the European Commission confirm the trend: about 20% of EU companies used AI in 2025, an increase of 6.5 points in just one year.
| Indicator | 2023 | 2025 | Change |
|---|---|---|---|
| French companies (10+ employees) using AI | About 6% | 18% | x 3 |
| EU companies using AI | About 13.5% | ~20% | +6.5 points |
This table reveals that France has nearly caught up with the European average. The acceleration no longer concerns only tech startups: it affects sectors such as retail, services, and manufacturing.
For entrepreneurs tracking growth trends, finding information on the site affairesdujour.com allows them to measure how these transformations are concretely reflected by sector.
AI in Non-Tech Functions: Where Jobs Are Moving in 2026
Competitors treat artificial intelligence as a general trend. Recent data shows a more specific phenomenon: AI-related jobs are migrating to non-technical functions.
Administration, marketing, accounting: these are the services that today absorb the majority of concrete uses. Text mining, text or image generation by generative AI is being deployed in teams that, two years ago, had no contact with these tools.
What This Changes for an SME or Entrepreneur
A SME leader who considers AI as a topic reserved for their IT provider is falling behind. Companies that are progressing integrate these tools directly into their business processes, without going through a dedicated tech department.
- An accounting department that automates invoice categorization using AI measurably reduces its processing times, freeing up time for financial analysis.
- A marketing team that uses generative AI to produce content variations can test more messages on its customers without increasing its workforce.
- An administrative service that deploys text mining on its contracts identifies at-risk clauses more quickly than a manual audit.
AI skills are becoming a recruitment criterion outside of tech jobs. Job offers in 2026 reflect this shift, with mentions of AI tools in job descriptions traditionally distant from digital.
Business Strategy and Growth Plan: What the Data Imposes
Competing articles offer lists of techniques (setting goals, developing your site, understanding your customers). These tips remain valid, but AI adoption data reposition the priorities of a growth plan.
Budgetary Trade-Off: AI Training or Traditional Recruitment
For a company with 10 to 50 employees, training three existing employees in the use of generative AI tools costs significantly less than hiring a specialized profile. The return on investment is measured in weeks, not quarters, when the tool replaces a daily repetitive task.
On the other hand, companies that attempt to deploy AI without structured support encounter a high abandonment rate. Technology alone produces nothing: it is the integration into an existing business process that generates value.
Marketing and Customer Relations: Personalization at Scale
Generative AI allows entrepreneurs to personalize their communication without multiplying human resources. A business that segments its customers and adapts its messages using AI achieves engagement rates higher than those of uniform communication.
AI-driven personalization is no longer a competitive advantage; it is an expected standard. Consumers compare their experiences across brands, and companies that do not personalize their purchasing journey lose market share.
Franchising and Entrepreneurial Support: Models That Integrate AI
The most dynamic franchise networks in 2026 no longer just provide a brand and an operational guide. Franchisors who attract the best candidates now offer AI tools integrated into their support package.
Predictive inventory management, automated analysis of the catchment area, chatbots trained on the network’s knowledge base: these tools reduce the time required for a new franchisee to become competent. The franchise model is evolving from a static transfer of know-how to continuous technological support.
Conversely, networks that do not invest in these tools see their attractiveness decrease among the most qualified entrepreneurs, who compare support offers before committing.
The gap between French companies that adopt AI and those that hesitate is widening every quarter. With 18% adoption measured in 2025 and confirmed acceleration in 2026, the shift is no longer a projection: it is a reality that every entrepreneur must integrate into their next action plan.