A legal gap that is slowly closing
Copyright in AI-generated images has been one of the busiest questions in intellectual property since 2022. It isn't settled, but the blank is getting smaller. For record labels, art directors and studios who work with AI-assisted visual creation, AI copyright is no longer something to ignore: the framework is moving fast, and knowing where it stands is basic professional caution.
What is established in France and across Europe: for a work to be protected by copyright, there must in principle be creative human input. An image produced entirely by an algorithm, with no identifiable human contribution, gets no copyright protection. Both legal systems hold this principle firmly, and it directly shapes how AI content can be used and claimed.
Who owns an AI-generated image
The terms of use of the main tools (Midjourney, Adobe Firefly, Stable Diffusion) differ widely on who owns the outputs. They need reading before any commercial use.
Midjourney grants paying subscribers a commercial license but keeps certain rights to use the images for training. The wording changes often. Check it again whenever the terms of service are updated.
Adobe Firefly was designed for commercial use, trained on licensed data (Adobe Stock), and contractually guarantees that users can exploit the outputs commercially with no third-party claims over the training content. For labels looking for more legal security, that weighs heavily.
Stable Diffusion run locally gives you full control over the outputs, but it doesn't settle the training question for the base models, which were often built on datasets of contested legality.
The training data problem
Most large models were trained on images scraped from the internet without the explicit consent of the people who made them. Several cases are under way, notably in the United States (class actions brought by artists against Stability AI and Midjourney) and in the United Kingdom. In France, the transposition of the EU copyright directive (Directive 2019/790) introduced an exception for text and data mining, with important nuances about how rights holders can opt out.
For a label or studio using these tools commercially, the training data risk is hard to measure today. The SPRE (Société pour la Perception de la Rémunération Équitable, the French body that collects equitable remuneration for recorded music) and other collective management organizations are beginning to take positions. Compensation or levy schemes will probably appear in the next few years.
What contracts need to spell out
In contracts between a label and a designer or studio where AI is involved, several points must be covered:
The use of AI tools must be declared. A label that commissions a cover and receives, without knowing it, a file partly generated by AI is within its rights to challenge the nature of the service. Being open about the tools isn't only good editorial practice. It's a condition of trust between the parties.
Ownership of the source files must be stated. If the final visual was generated and then retouched, who holds the rights to the whole? It depends on how much human work went into the retouching, and on the contract. Without a clause, things can get murky.
Liability in case of dispute must be assigned. If a third party claims rights over elements in a generated image (a style too close to a living artist's, for example), who answers for it, the studio or the label? This isn't yet standard in music industry contracts. It should be.
Streaming platforms: policies still taking shape
Spotify, Apple Music and the other platforms have started setting policies on AI content, mostly for the music itself. For cover art, the requirements are less formal but they are moving. Some platforms already ask for a declaration of AI use in submitted works, and these declarations will probably become standard in distribution terms.
A label that uses AI in its visual workflow without documenting or declaring it is exposed if those policies are tightened retroactively on releases already out.
Bringing AI in with a paper trail
The practical answer is simple: document everything. Keep the session files, the prompts, the intermediate versions, the retouching decisions. That record is the proof of human input, and so the basis for claiming rights over the result.
The law doesn't cover everything. Behind the contract question sits an older one: the ethical debt an AI production owes its putative sources, meaning all the works dissolved into the training data. This is a philosophical question, but it sheds indirect light on what contract clauses try, awkwardly, to pin down, and it deserves to be kept in view alongside the legal work.
Two related questions are just as sharp. The first concerns living artists: can you imitate a living artist's style in a prompt without some form of parasitic appropriation? Copyright doesn't protect styles, but professional ethics isn't satisfied by that. The second concerns signature: who can legitimately sign a production partly generated by AI, and what is that signature worth when it covers only part of the creative act? Neither question is settled in a contract, but both shape how one gets written.
This is one of the principles behind Takuya Studio's creative AI pages: professional use of AI means knowing the tools well and building a documented workflow, so that you can trace and justify your creative decisions if you ever need to. AI is an amplifier, and an amplifier works best in the hands of someone who knows what they want to amplify.