For two years, generative artificial intelligence has established itself in public debate as an almost magical technological promise.
For two years, generative artificial intelligence has established itself in public debate as an almost magical technological promise. She writes, summarizes, translates, codes, creates images, and answers questions better than many humans. Faced with this new power, two temptations oppose each other: blissful enthusiasm or radical distrust.
These two postures, however, miss the essential point.
The real question is not whether AI is useful, it already is, but whether it can be trusted when it touches critical decisions in our economy and democracy. And on this point, the answer depends less on the raw performance of the models than on their framework, their traceability and their sovereignty.
The illusion of a “universal” AI
Many imagine that large global AI models will be enough to do everything: analyze legal contracts, assess financial risks, process administrative files or control regulatory documents. This vision is seductive, and dangerous.
In regulated sectors, AI cannot function like a consumer chatbot. A bank, an administration, a law firm or an insurer do not manipulate simple texts: they manipulate evidence, commitments, responsibilities and legal risks.
A hallucination, an error of interpretation or poorly contextualized data are not small bugs: they are systemic risks.
Serious AI is therefore not the one that responds the fastest or with the most creativity. It is the one that justifies its analyses, respects regulatory frameworks, guarantees the confidentiality of data and is part of a clear chain of responsibility.
Why sovereignty is not a luxury, but a necessity
Technological dependence has become one of the major challenges of the 21st century. Entrusting our strategic, financial, legal and administrative data to infrastructures entirely controlled outside of Europe would be a historic error.
Digital sovereignty is not a protectionist reflex: it is a condition of economic and democratic security.
Can we accept that the analysis of the documents which structure our markets, our courts or our public policies is based on systems of which we control neither the training data, nor the architecture, nor the rules of use?
Serious AI must be controllable, auditable and governable. This requires European players capable of designing technologies adapted to local constraints, European law and the requirements of the future AI Act.
It is precisely this challenge that a new generation of French solutions embodies: AI engines designed from the outset for regulated environments, and not general public tools cobbled together a posteriori for professional uses.
From experimental AI to industrial AI
For a long time, AI was confined to laboratories and “pilot projects”. Many companies have multiplied experiments without ever succeeding in moving into production.
Today, we are entering a new phase: that of industrial AI.
This means robust, field-tested systems integrated into business processes that can operate at scale without sacrificing compliance.
In the documentary field, where a large part of the legal and financial risks are concentrated, this change is major. Analyzing, structuring and making thousands of pages reliable is no longer a fun innovation, but an operational necessity.
Organizations no longer want spectacular demonstrations: they want guarantees.
AI as Compliance Technology
AI is often presented as a productivity or creativity tool. In regulated sectors, it must first be thought of as a compliance technology.
This changes everything.
Useful documentary AI is not just about going faster. It is used to:
· Better trace decisions,
· Reduce human errors,
· Make information reliable,
· Secure sensitive data,
· And make organizations more resilient to controls and audits.
In other words, AI does not replace the rule: it reinforces it.
A credible French model is possible
Several recent advances show that another path is possible: neither rejection of AI, nor submission to foreign giants.
A French and European path, based on:
· Controlled data,
· Clear governance,
· Integration into regulated ecosystems,
· And a logic of partnership with public and private institutions.
The issue goes well beyond a single company. The question is whether Europe will be a simple consumer of AI or a true producer of its own technologies.
The real challenge of the coming years
In five years, the question will no longer be “should we use AI?” » but “which AI did we choose?” “.
An AI that is opaque, uncontrollable and dependent on external interests, or an AI that is sovereign, responsible and aligned with our values?
I am convinced that AI is only truly useful if it is serious, and that it can only be serious if it is sovereign, regulated and at the service of real organizations.
Choosing our digital destiny
Behind the technical debate on AI there is in reality a societal choice.
Will we accept effective but opaque artificial intelligence, decided elsewhere, trained on data that is not ours and aligned with interests that are not necessarily European? Or will we build a useful, responsible and sovereign AI, capable of serving our institutions, our businesses and our citizens while respecting the law and our values?
This choice cannot be postponed until tomorrow. It is happening today, through the technologies we develop, the rules we set and the solutions we adopt.
A collective responsibility
The future of AI in France and Europe does not only depend on engineers or start-ups: it also depends on public decision-makers, regulators and business leaders.
We must have a clear ambition:
· Invest sustainably in European technologies,
· Support actors capable of scaling up,
· And demand guarantees of transparency, traceability and compliance for any AI deployed in critical sectors.
Artificial intelligence will either be a new instrument of dependence or a lever of sovereignty.
This choice is now ours: it will have a lasting impact on our economy, our institutions and our democracy.
