The year 2024 has reshuffled the cards in the technology sector, less through the emergence of radically new technologies than through the implementation of regulatory frameworks that change the conditions for deployment. The European AI Act, the Digital Services Act, and the rise of generative AI in business workflows are shaping a landscape where compliance weighs as heavily as innovation.
AI Act and Digital Services Act: two regulations redefining the European market
Competitors treat AI as a usage trend. The defining fact of 2024 is that Europe has established a binding legal framework that conditions the market introduction of any artificial intelligence system on its territory.
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The European regulation on artificial intelligence (AI Act) was adopted in June 2024. Its gradual implementation begins on August 1, 2024, with differentiated obligations based on the risk level assigned to each system.
| Risk Level | Examples of Affected Systems | Main Obligations |
|---|---|---|
| Unacceptable | Social scoring, behavioral manipulation | Complete prohibition |
| High risk | AI in insurance, banking, recruitment, medical software | Transparency, technical documentation, human oversight, data management |
| Limited | Chatbots, deepfakes | User information obligation |
| Minimal | Spam filters, video games | No specific obligations |
This risk-level classification directly impacts software publishers, insurers, and banks that integrate AI into their decision-making processes. Projects deployed without compliant documentation are exposed to sanctions.
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At the same time, the Digital Services Act (DSA) has been applicable since February 2024 for large platforms. This text imposes rules for content moderation, algorithmic transparency, and reporting that change the way social networks and marketplaces operate in France and the rest of the Union. To follow tech news on Officiel News, these two regulations constitute the regulatory foundation to watch in the coming months.
Generative AI in business: from prototype to industrialization
Generative AI has moved beyond the demonstration stage. In 2024, the question is no longer whether companies will adopt it, but how they transition from isolated experiments to large-scale deployments.
Several sectors illustrate this shift. The production of marketing content (text, image, video) now relies on generative models integrated into publishing chains. Software development uses code assistants that suggest, complete, and document. Online professional training incorporates adaptive modules generated by AI.
Scaling up presents concrete challenges that trend articles rarely mention:
- The governance of training data, especially when it contains customer information subject to GDPR, creates legal risks that hinder deployment in banking and insurance.
- The inference cost (running a model in production) remains high, forcing companies to balance response quality with their cloud infrastructure budget.
- Integration with existing systems (ERP, CRM, business tools) requires engineering work that is often underestimated, far removed from the apparent simplicity of a chatbot.
The AI Act adds an additional layer: any generative AI used in a “high risk” context must comply with transparency and technical documentation obligations, including regarding training data.
Online training and learning: the accelerating effect of AI on pathways
The professional training sector is undergoing a transformation accelerated by AI tools. Online learning platforms integrate personalization features that adapt content, pace, and exercises to each learner’s profile.
What changes concretely in 2024 is the ability of systems to generate educational content on demand: contextualized case studies, adaptive quizzes, simulations. An instructor who used to produce an online course over several weeks can now significantly reduce the design time.
The challenge lies in the quality and reliability of the generated content. A course produced by generative AI may contain approximations or factual errors that only a human expert can detect. Training organizations that industrialize this approach implement systematic proofreading processes.
The French regulatory framework around the CPF has also evolved in 2024, with strengthened controls on training organizations. The regulation of the CPF aims to limit fraud that has multiplied in recent years, which also impacts the technology platforms serving as intermediaries.
Video and interactive content in training
Video remains the dominant format for online learning. AI video generation tools enable the production of course modules with avatars, automatic subtitling, and multilingual translations. This capability is particularly interesting for companies operating in multiple countries, in Quebec as well as in France, seeking to harmonize their training pathways.
Cybersecurity and digital sovereignty: geopolitical tensions in the background
International conflicts have amplified concerns regarding cybersecurity. Attacks targeting digital infrastructures have increased, and the question of provider responsibility in the event of a cyberattack is under debate.
The IT subcontracting chain is becoming a major risk vector. A company may have secured its own systems while remaining vulnerable through a cloud service provider or a third-party software publisher. The notification and documentation obligations imposed by the DSA and the NIS2 directive increase pressure across the entire chain.
Digital sovereignty remains a fundamental topic in France and Europe. Sovereign cloud initiatives continue, driven by the desire to reduce dependence on American hyperscalers for hosting sensitive data.
- Public sector companies are increasingly encouraged to choose SecNumCloud-qualified hosting solutions for strategic data.
- Sovereign AI projects are multiplying, aiming to develop language models trained on European data and compliant with local regulatory frameworks.
- The price of these sovereign solutions remains higher than that of offerings from major market players, which hinders adoption by SMEs.
The year 2024 marks a turning point where technology is no longer measured solely by its capabilities but by its regulatory compliance and control over its value chain. Companies that do not integrate these constraints from the design phase of their projects expose themselves to blockages that are no longer technical but legal.