What indicators help distinguish a promising business trend from a mere fad in 2024? Between the adoption of generative AI by small and medium-sized enterprises (SMEs), new European regulations, and the transformation of online sales models, the signals do not all point in the same direction. This article compares the available data to identify the most structuring business trends.
Adoption of Generative AI in France: Gap Between One-Time Testing and Structured Use
Competitors list artificial intelligence as an opportunity, without measuring the gap between discourse and operational reality. The figures from the Bpifrance Le Lab barometer tell a more nuanced story.
| Generative AI Indicator (French SMEs) | End of 2023 | End of 2024 | End of 2025 |
|---|---|---|---|
| Declared usage rate | 15 % | 31 % | 55 % |
| Regular use (at least once a week) | Not measured | Not measured | 17 % |
The doubling of the usage rate between the end of 2023 and the end of 2024 is noteworthy. However, only 17 % of SMEs use AI regularly, which puts into perspective the discussions about the profound transformation of professions.
For an entrepreneur looking to discover business on Communiqués du Net, this data changes the market reading: the window for differentiating through structured use of AI remains open, precisely because the majority of companies are still in the testing phase.
The challenge lies not in the adoption of the tool, but in its integration into production, marketing, or customer relationship processes. A company that automates its competitive intelligence or content creation weekly gains a measurable advantage over those that use AI sporadically.
Public Investments in AI: What Bpifrance’s Leap Means for SMEs
The volume of investment from Bpifrance in development capital for AI jumped from 17 million euros in 2024 to 240 million in 2025. This factor of 14 reflects a public policy that goes beyond the experimental stage.
This plan is accompanied by concrete measures: AI diagnostics, co-financing of projects, specific support for SMEs. For entrepreneurs starting a business or in a growth phase, this funding represents a lever rarely mentioned in business trend guides.
What This Changes for a Startup Project in 2024
A project leader who integrates an AI component into their service or product offering can access dedicated public funding. The competition for these funds remains moderate as long as structured adoption remains a minority.
Public funding for AI now targets SMEs, not just deep tech startups. This orientation changes the profitability calculation for activities such as automated marketing, AI-assisted online sales, or business consulting.
AI Act Regulation: Constraints and Opportunities for Businesses in France
The European AI Act introduces progressive obligations. AI systems with unacceptable risk are prohibited as of February 2025. Obligations for high-risk systems come into effect on August 2, 2026.
SMEs and startups with fewer than 50 employees benefit from additional deadlines and partial exemptions on certain documentation obligations. This adjustment aims to prevent regulations designed for large platforms from stifling innovation in smaller structures.
- AI systems used in recruitment, credit scoring, or human resources management are classified as high-risk and will require documented compliance
- Generative AI tools intended for the general public (chatbots, content generators) must clearly indicate that the content is produced by AI
- Companies deploying low-risk systems (automatic filters, product recommendations) have reduced transparency obligations
For an entrepreneur launching an online business using AI, regulatory compliance becomes a line item to anticipate from the business plan. Conversely, this constraint creates a market: AI compliance consulting for SMEs is still a niche that is not widely occupied in France.
Online Sales and Platforms: Models Generating Margins in 2024
E-commerce remains a pillar of business trends, but not all online sales models are equal in terms of profitability. Selling on marketplaces offers quick access to customers, at the cost of commissions that compress margins.
The direct-to-consumer (DTC) model via its own online store preserves margins but requires skills in digital marketing and traffic acquisition. Print-on-demand and resale remain accessible in terms of initial capital, provided that logistical costs are managed.
Criteria for Choosing Between Marketplace and Own Site
- Target order volume: marketplaces are suitable for testing a product, while an own site is for building a brand over time
- Target net margin: commissions from major platforms range from one-fifth to one-third of the selling price depending on product categories
- Available skills: managing one’s own marketing campaigns requires time or an outsourcing budget
- Customer loyalty: on a marketplace, the customer belongs to the platform, not the seller
Social networks are increasingly functioning as direct sales channels, not just as awareness tools. The integration of purchasing functions into social networks reduces the number of steps between discovery and transaction.
The combination of an own site for margin and a marketplace presence for volume constitutes the most common hybrid model among growing businesses. Generative AI plays a role here in writing product descriptions, optimizing advertising campaigns, and personalizing recommendations, which ties back to the adoption data presented earlier.
The business trends of 2024 are less about a list of promising sectors than about a change in method. The performance gap widens between companies that integrate AI into their recurring processes and those that are content with one-off tests. Public funding amplifies this movement, while European regulation sets a framework that favors agile structures capable of adapting quickly.
