French companies are navigating a period in which several transformations are unfolding at once: the adoption of artificial intelligence, tighter European regulations and skills shortages. Measuring the gap between those that adapt to these changes and those that struggle to keep up helps identify the real challenges facing business today.
AI adoption in business: maturity varies by company size
Insee has observed an increase in AI use between 2024 and 2025 among companies with at least 10 employees. This growth is uneven: larger organisations are adopting these technologies much faster than smaller ones.
| Criterion | Large companies | SMEs / very small businesses (10+ employees) |
|---|---|---|
| Rate of AI adoption | Significantly faster | Slower, often held back |
| Main barrier cited | Integration with existing processes | No perceived benefit or lack of expertise |
| What can speed things up | In-house data teams, R&D budgets | Training, external support |
| Impact on sales performance | Measurable productivity gains | Potential gains not yet realised |
This table highlights a point that is often overlooked: the barriers to AI adoption are organisational and human, not just technological. Companies that have yet to adopt AI are not short of software options. They lack clearly identified use cases and trained staff.
For business leaders following Contre Informations’ business coverage, this maturity gap between large and small organisations is a clear signal: digital strategy is about more than buying a tool; it requires a reorganisation of work.
The AI Act and CSRD: two regulatory frameworks reshaping business strategy
The European AI Regulation (AI Act) entered into force on 1 August 2024. Some AI practices have been prohibited since February 2025, while obligations for high-risk systems are being phased in. Organisations must ensure their staff have an adequate level of AI literacy.
This is no minor requirement. It makes compliance a strategic issue in its own right, on a par with talent management and revenue performance.
CSRD after the Omnibus package
On sustainability, the CSRD is being revised. Through the Omnibus package, the European Commission has proposed raising the thresholds for its application. If the proposal is adopted, only the largest companies would remain directly subject to sustainability reporting requirements.
For SMEs, this apparent easing does not remove the pressure: customers and banks continue to request non-financial data in tenders and financing applications. The requirements cascade down the value chain, regardless of the regulatory text.
- The AI Act requires organisations to map AI uses by risk level, with staggered deadlines depending on the system category.
- Even after Omnibus, the CSRD continues to affect companies of all sizes indirectly through value chains and business relationships.
- Both frameworks point to the same requirement: document, train and report—activities that call for dedicated in-house resources.
Sales performance and management tools: what the benchmarks reveal
The sales technology ecosystem has grown considerably more crowded. Next-generation CRMs, revenue management platforms and sales intelligence tools: technology choices have a direct impact on pipeline quality and growth.
According to the 2026 overview published by actionco.fr, sales directors face an overwhelming range of options. The challenge is no longer finding a tool, but choosing one that genuinely fits existing processes without adding to the team’s workload.
Three selection criteria to prioritise
A tool that looks impressive on paper can undermine productivity if sales teams do not adopt it. Feedback from the field points to three decisive factors:
- Interoperability with the existing CRM, to avoid duplicate data entry and data loss in the pipeline.
- The training time required before the team can use the tool independently—a factor often underestimated in integration projects.
- The tool’s ability to produce actionable metrics (conversion rates at each stage, sales cycle velocity) rather than decorative dashboards.
The companies that get the most out of these solutions are those that treat deployment as a change management project, with an internal sponsor and measurable objectives from the first quarter.
Business strategy and human capital: the connection that org charts don’t show
A company’s strategy ultimately translates into decisions about people. Hiring data specialists to accelerate AI adoption, training managers in regulatory compliance, restructuring sales teams around new tools: every strategic direction creates a need for specific skills.
HR is becoming a strategic lever, not an administrative function that simply carries out instructions. Insee surveys on barriers to AI adoption confirm this: without in-house expertise, technology investment comes to nothing.
In the labour market, shortages of technical professionals (in data, cybersecurity and compliance) are affecting recruitment timelines and salary budgets. A company that fails to factor these pressures into its three-year outlook risks seeing its strategy stalled by a skills bottleneck.
The figure that best sums up the current situation is this: the maturity gap between companies is not about how much they invest, but how quickly their teams adapt. That speed is what separates organisations able to turn regulatory constraints into a competitive advantage from those that experience them as an additional cost.
