The European AI Act, adopted in 2024, reshapes compliance constraints for any company integrating artificial intelligence into its products or processes. Documentation, data governance, and algorithmic transparency obligations are already impacting the roadmaps of startups as well as SMEs. This regulatory framework, combined with the Digital Services Act, creates an environment where business strategy can no longer be conceived without legal strategy.
AI Act and DSA: the new regulatory foundation that changes product decisions
AI systems classified as high-risk by the AI Act must now meet specific requirements: traceability of training datasets, compliance assessment before market launch, documented human oversight. For a startup developing a credit scoring tool or automated recruitment software, this means months of additional work on compliance before any commercial deployment.
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The DSA, on its part, imposes moderation and advertising transparency obligations on online platforms. Business models based on the massive collection of personal data are directly affected. We observe that companies anticipating these constraints by integrating compliance from the design stage (privacy by design, AI governance by design) gain a real competitive advantage with B2B clients concerned about their own regulatory exposure.
By following the business information on Revue de Presse, one can gauge how much these regulatory issues have become central to the concerns of executives in just a few months.
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Solopreneurs enhanced by generative AI: a business model to qualify
Data on online business creation for the period 2024-2025 show a clear increase in micro-businesses run by a single person. The typical profile: a founder using generative AI for content marketing, rapid prototyping, and customer support via chatbots or conversational agents. Microsoft and LinkedIn document this trend under the term “AI-powered entrepreneurship.”
A solopreneur equipped with AI tools can now cover functions that required three to five employees five years ago. Generating visuals, writing business proposals, analyzing customer data, automating follow-ups: the technology stack accessible for a few dozen euros per month has radically changed the profitability equation of a micro-business.
The limits that mainstream articles do not address
This model relies on a fragile assumption: the stability of APIs and pricing from AI providers. A price increase at OpenAI or Anthropic, a change in terms of use from a foundation model provider, and the cost structure of a solopreneur can shift dramatically. We recommend diversifying technological components and maintaining a fallback capability on open-source tools (Mistral, LLaMA) for critical functions.
The AI Act adds another layer: if the solopreneur uses a foundation model to generate content for consumers, transparency obligations apply. Mentioning that a text or image was generated by AI is no longer optional in several use cases.
Low-tech business and sobriety: a documented counter-trend
ADEME and the Low-Tech Lab have been documenting since 2023 a rise in entrepreneurial projects oriented towards low-tech. Repair, sharing of equipment, digital sobriety workshops, designing simple and repairable objects: these activities meet a growing demand, driven by energy constraints and a form of saturation with all-digital.
The repair and second-life market for objects is no longer a niche market. French and European regulations on reparability indexes, extended warranties, and the fight against planned obsolescence create a favorable framework. Entrepreneurs positioning themselves in these segments benefit from a rare alignment between consumer demand, regulatory framework, and low capital intensity at startup.
- Electronic or textile repair workshops, with a hybrid model (on-site service and online sale of spare parts)
- Platforms for sharing tools or equipment among professionals, based on a monthly subscription model
- Design and sale of durable, repairable objects, with open technical documentation
Trade war and inflation: adapting pricing strategy in an unstable context
Geopolitical tensions (war in Ukraine, instability in the Middle East, U.S. trade policy under the Trump administration) continue to weigh on supply chains and raw material costs. Rising energy prices and input costs are impacting margins, particularly for industrial SMEs and retail businesses.
Mechanically passing inflation onto the selling price is a losing strategy in the medium term. Companies that maintain their competitiveness work on three simultaneous levers:
- Renegotiating supplier contracts with transparent indexing clauses, rather than unilateral price increases
- Optimizing the product mix to steer demand towards higher-margin references
- Reducing customer acquisition costs through marketing automation (email sequences, predictive scoring), which brings us back to the topic of AI applied to commercial functions
The trap of psychological pricing during inflation
Many companies maintain artificially low entry prices to preserve traffic, then compensate on options or ancillary services. This approach works in B2C in competitive markets (e-commerce, fast food), but it erodes customer trust in B2B. Professional buyers prefer a clear pricing grid, indexed to public indicators, over an opaque catalog.
The French economy is going through a phase where the ability to quickly adjust its cost structure is as important as product quality. The companies that survive in the coming years will be those that have built a solid regulatory watch, diversified their technological tools, and accepted that profitability now depends as much on compliance and operational agility as on product innovation.