The proportion of French TPE-PMEs declaring they use at least one artificial intelligence solution has doubled in a year, rising from 13% in 2024 to 26% in 2025 according to the Barometer France Num conducted by CREDOC. This acceleration hides a paradox: France lags behind the eurozone average, where 39% of companies report moderate or significant use of AI.
The catch-up has begun, but the technological choices made today will determine which structures will truly benefit from this wave.
Technical debt and network infrastructure: a brake that SMEs underestimate
Before discussing new tools, we must address what hinders their deployment. Many SMEs still operate with network architectures sized for uses from ten years ago. Aging workstations, saturated local servers, shared bandwidth without prioritization of application traffic: these technical constraints create an invisible bottleneck.
A high-performing management software or a cloud solution will yield no measurable gains if the internal network does not keep up. Field feedback varies on this point: some companies notice immediate improvement after migrating to the cloud, while others find that their internet connection or internal wiring limits performance.
The infrastructure audit, often seen as an ancillary expense, is crucial for the success of any transformation project.
Specialized providers like skynet-system.fr specifically address this technical foundation, structuring enterprise IT before stacking software layers. This bottom-up approach (network, workstations, security) rather than top-down (applications) often changes the trajectory of a project.
IT automation solutions: beyond time savings
The automation of repetitive tasks is the primary use cited by SMEs adopting AI. Document generation, customer follow-ups, email sorting, accounting entry: the application cases are concrete and the return on investment is often quick.
However, the available data does not allow us to conclude that automation systematically reduces headcount. Several recent analyses show that 62% of French IT decision-makers plan to increase their workforce despite AI, rather than decrease it. Automation shifts tasks rather than eliminating positions: teams spend less time on data entry and more on analysis or customer relations.
What distinguishes a useful automation software from a gadget
The market is full of solutions presented as innovative. Three concrete criteria allow for filtering:
- Native integration with existing tools (ERP, messaging, management software). A tool that requires custom development to connect to existing systems is more expensive to maintain than to acquire.
- The granularity of access rights. In an SME, the same individuals often hold multiple roles. The software must allow for flexible roles without multiplying licenses.
- Data portability. If the vendor makes it difficult to export your data, you create a costly technical dependency in the long term.
SME cybersecurity: a blind spot that compromises performance
Talking about IT performance without addressing cybersecurity is like measuring a vehicle’s speed without checking its brakes. French SMEs are an increasing target for ransomware, and the consequences far exceed data loss: business shutdown, loss of customer trust, remediation costs.
ANSSI now offers a free cyber diagnosis for TPE-PMEs, reflecting the urgency perceived by authorities. This diagnosis covers fundamental points: password policy, two-factor authentication, backup according to the 3-2-1 rule (three copies, two different media, one off-site copy).
Concrete cybersecurity measures for an SME
The most profitable investments are not necessarily the most visible:
- Enable two-factor authentication on all critical accounts (email, management software, banking access). It’s free and blocks the majority of credential theft attacks.
- Segment the internal network so that the compromise of one workstation does not grant access to the entire information system.
- Train teams on phishing techniques, which remain the primary vector for intrusion, far ahead of technical vulnerabilities.
- Implement a business continuity plan (BCP) tested at least once a year. A BCP that has never been simulated offers no guarantees.
AI adoption in business: usage profiles and current limits
The doubling of the AI adoption rate among TPE-PMEs says nothing about the depth of usage. The majority of companies are still in the exploratory stage: they are testing conversational assistants or content generation tools, without integration into their business processes.
A smaller number use AI in a structuring way, for example for decision support based on internal data (sales forecasting, detection of accounting anomalies, stock optimization). This level requires access to clean, structured, and sufficiently large data, which poses a real obstacle for organizations with fewer than fifty employees.
Conversely, the issue of data sovereignty is gaining importance. Several French players are now positioning cloud and AI offers hosted in France, meeting GDPR requirements and privacy concerns. For an SME handling sensitive customer data, the choice of hosting is not a technical detail: it is a strategic decision that engages the responsibility of the manager.
The French lag behind the eurozone in terms of AI will not be bridged solely by purchasing software licenses. It requires a parallel investment in team skills, data quality, and network infrastructure robustness. Companies that address these three dimensions simultaneously are the ones that transform a tool into a sustainable competitive advantage.