Today, a few lines are enough to produce a visual, a text or some code. A prompt, a well-phrased instruction, and within seconds the result appears. Clean, usable, sometimes even better than what you would have produced on your own.
Faced with this ease, a question quickly arises, even if it often stays in the background: who really owns this content?
In practice, the answer seems intuitive. The user wrote the prompt, triggered the generation and selected the result. So it seems natural to consider that the content belongs to them.
Legally, however, the situation is more nuanced.
Copyright rests on a fundamental principle: a work must be the result of human creation. An artificial intelligence, however powerful, has neither legal personality nor creative intent in the legal sense. It is not recognised as an author and therefore cannot hold rights.
This framework is not left open to interpretation.
The European Parliament has already taken a position on these questions. It considers that artificial intelligence systems cannot be treated as authors and that the law must continue to rest on human involvement.
In other words, without a significant human contribution, there is no identifiable author — and therefore no automatic copyright protection.
In concrete terms, content generated in a few seconds, without any particular input, can end up in an uncertain zone.
It can be used, distributed and sometimes monetised, but its protection remains limited. Nothing really prevents a third party from producing a similar result or reusing an equivalent approach.
This creates a gap between how these tools are actually used and the current legal framework.
Things change when the user plays an active role in the process.
Building a complex prompt, iterating many times, refining the results, editing the generated content: all of these can amount to a creative contribution.
In that case, rights may exist — provided this contribution can be demonstrated.
In practice, the question is not limited to who the author is. It quickly becomes more concrete: who is able to prove it?
A prompt can be copied, slightly modified and reused elsewhere. Generated content can be recreated identically. In a digital environment where everything circulates quickly, origin becomes difficult to establish.
Without a reliable record, the discussion rests on fragile elements.
In this context, the notion of prior existence takes centre stage.
Being able to show that content existed on a specific date, that it was associated with an identifiable person and that it has not been altered is often the strongest element.
It does not replace the law, but it supports it.
Solutions now make it possible to formalise this approach.
By registering a prompt or a generated file, and associating it with a timestamp and a digital fingerprint, you can give this prior existence a tangible form.
With Rightkeeper, for example, a simple text can be turned into a certified file whose existence is attested at a given moment.
In a legal framework that is still evolving, this approach does not solve everything. But it helps secure a position, make a creation objective and prepare for a possible dispute.
Artificial intelligence does not abolish copyright. It changes its contours, making the notion of author more complex and proof more essential.
As content becomes easier to produce, its origin becomes harder to establish.
In this new environment, creating is no longer always enough. You still need to be able to show that you were at its origin.
