In just a few months, creative work has changed profoundly.
Tasks that used to take hours can now be done in minutes. Generating a visual, writing a text, producing code: artificial intelligence has cut lead times and multiplied production capacity.
But this acceleration has an immediate effect.
The easier it becomes to produce, the harder it becomes to put a value on what is produced.
This paradox is now at the heart of the daily life of many freelancers and creators.
Even before AI arrived on a massive scale, creatives were facing a market under strain: international competition, pressure on prices, demands for ever faster delivery.
AI did not create this situation. It amplified it.
According to some studies, nearly 45% of artist-authors believe AI has already had an impact on their income, while others report higher demands and shorter deadlines.
In other words, the value of the work is not disappearing, but it is being called into question.
Contrary to popular belief, AI does not replace creatives. It changes the nature of their work.
Repetitive tasks — variations, adaptations, first drafts — are tending to disappear as billable services. What used to be part of their income is gradually being automated.
At the same time, other skills are gaining value: the ability to come up with an idea, structure a project, set a direction and create meaning.
Work is shifting. Less execution, more decision-making.
This transformation is already reflected in business models.
Pay per deliverable, centred on production, is becoming more fragile. Conversely, approaches based on expertise, consulting or creative direction are becoming more relevant.
In some cases, new models are emerging: usage licences, strategic support, impact-based pay.
At the same time, legal debates are intensifying. In Europe, discussions are under way to guarantee fair remuneration for creators when their works are used by AI systems.
The issue is no longer just technological. It is becoming economic and political.
In this context, one risk clearly emerges.
If everything can be produced quickly and cheaply, the perception of value can collapse. The client no longer pays for the time spent, but for a result they think they could reproduce themselves.
This illusion is reinforced by the tools themselves, which offer instant output without always making the upstream work visible.
For creatives, the danger is not only being replaced. It is being undervalued.
Faced with this evolution, a deeper change is taking place.
Value does not disappear. It moves.
It no longer lies only in what is produced, but in the ability to demonstrate expertise, structure a process and prove the origin of a piece of work.
In an environment where content circulates quickly and can be reproduced, the question is no longer just “who created it?”, but “who can prove it?”
This shift is decisive.
Creative work, however good, becomes difficult to defend if it cannot be clearly linked to its author. Without proof, the discussion remains fragile. With proof, it becomes concrete.
This is where the notion of prior existence comes in.
Being able to show that a file existed on a specific date, that it is linked to a person and that it has not been modified is a lever for creating value.
It is not just a legal question. It is an economic condition.
Faced with AI, creatives are not condemned to simply endure.
But they need to adapt their positioning.
This involves several changes:
defining their value more clearly,
clarifying the terms of use of their creations,
and above all, documenting their work.
By associating their creations with proof, structuring their exchanges and controlling how they share, they can turn fragile output into a usable asset.
Solutions such as Rightkeeper are part of this approach, making it possible to timestamp a file, certify its existence and trace its use.
Artificial intelligence does not abolish creatives’ pay. It redefines its conditions.
It forces a move from a production mindset to a positioning mindset.
From volume to value.
And, above all, from the implicit to the demonstrable.
In this new environment, creating remains essential.
But it is no longer always enough.
AI speeds up production, but it weakens the perception of value.
To keep getting paid, creators must not only produce, but also structure, explain and prove.
In a world where everything is speeding up, value increasingly belongs to those who know how to demonstrate it.
