Listen to a song on a platform streaming And wondering whether there's a musician or an algorithm behind it has become more common than it seems. The tools of generative artificial intelligence They have boosted the production of tracks, cloned voices, and synthetic covers to the point that many listeners no longer know what is human and what is not.
In this context, Apple Music It is preparing to take a major turn. to the way it displays information about its catalog. The company will introduce a notification system that will allow users to know, at a glance, when a song, music video, or even album artwork has been created wholly or partially with AI—a move that comes amidst increasing regulatory pressure in Europe and a heated debate about copyright.
Apple Music will mark AI-powered music.
According to documentation sent to industry partners and leaked by specialized media such as Music Business WorldwideThe Cupertino platform will implement specific transparency labels for all musical content in which artificial intelligence has been used. These indications will appear linked to the metadata of each publication and will allow the user to know if the technology has been used in the musical compositionin the writing of the lyrics, in the production of the video, or in the design of the cover art.
Until now, the decision to report or not the use of AI rested with the government. voluntary agreement on labels and distributorsWith the new policy, Apple has announced that notification will be mandatory for the new content uploaded to the serviceat least when there is a "material portion" generated using these tools. In other words, it's not about marking any marginal use of software, but rather those cases where the intervention of AI is significant.
The company defines this move as “a first concrete step towards transparency” The industry needs to establish best practices and standards that are acceptable to both major record labels and independent artists. Although the company has not yet specified the effective date or the consequences for those who fail to declare their use of AI, the message to its partners is clear: the time for turning a blind eye is over.
Meanwhile, leaks suggest that the identification could be displayed with a distinctive visual element in the playback interfaceso that the user can see on the track or album page whether there are elements generated by algorithms. Internally, the classification would also serve to adjust the handling of this content in recommendation systems and in the custom lists.
Another fundamental aspect will be the metadata managementThe system will be based on the information provided by record labels and aggregators at the time of uploading each reference. Apple will analyze that data to tag the songs and, in the future, could allow the listener to filter or modulate your experienceFor example, by excluding synthetic content from certain lists or radio stations if you so wish.
Industry pressure and European transparency standards
Apple Music's decision didn't come in a vacuum. Major record labels like Universal Music Group o Sony Music They have been demanding answers from streaming platforms for months. greater rigor in the identification of synthetic contentEspecially after viral episodes in which the voices of top artists were cloned without permission. The most well-known case was the song created with imitations of Drake y The Weeknd, which accumulated millions of views before being taken down due to rights conflicts.
At the same time, the European Union has approved the Regulation (EU) 2024/1689, known as the AI Actwhich does not go into detail regarding intellectual property, but does establish transparency obligations for content created or manipulated by AI, including deepfakes musicals. Among other things, it requires labeling this type of material and offers mechanisms for rights holders to exclude their works from model training, or to license their use under clear conditions.
In the Spanish case, the Intellectual Property Law maintains a firm stance: the author can only be one Physical personThis excludes machines. If a composition has been generated autonomously by an AI system, without relevant human creative intervention, cannot benefit from copyright protection and is considered to be in the public domain. The situation is different when the creator uses AI as a tool, but selects, corrects, and contributes original decisions; in that scenario, the work can be protected, and the author is the person who signs off on those creative choices.
This entire legal framework is pushing European platforms towards a scenario in which simply hosting songs is not enoughThey must be able to explain how these issues arose and who assumes responsibility for them. For Apple Music, which competes directly in Spain and the rest of Europe with players like Spotify and Deezer, positioning itself as a service that prioritizes transparency and respect for rights is also a way to differentiate itself in a saturated market.
Furthermore, recent reports cited by the industry indicate that the rise of AI could mean losses of up to 25% of revenue For some industry professionals, this will change over the next four years, as parts of the catalog and soundtracks become automated. It's not surprising that renowned musicians like Paul McCartney, Kate Bush o Elton John They have demanded greater protection from European and British governments against the use of their voices and compositions as raw material for generative models.
A market saturated with synthetic songs
Apple's move comes as the volume of AI-generated music It continues to grow. Tools like Suno or Udio allow you to create entire songs from just a few lines of text, with results that only a few years ago would have seemed like science fiction. According to estimates from firms like MIDIA ResearchThe market linked to algorithm-generated music could exceed 3.000 million by the end of this decade, and investment banks like Goldman Sachs estimate that up to 10% of the industry's global revenue in 2030 could come from content in which AI has played a role.
This surge is already noticeable on the platforms. Deezer acknowledged that around the 28% of the content you receive contains AI-generated material and claimed to have demonetized 85% of those tracks thanks to its own detection systems. SpotifyFor its part, it has eliminated tens of millions of songs considered “spam” and has tightened controls against profiles that imitate real or deceased artists. At the opposite extreme, Bandcamp directly It prohibits the publication of songs created with AI. and reserves the right to remove any issue under suspicion.
Faced with these approaches, Apple Music is currently opting for a middle ground: It does not prohibit the use of AIBut it demands that this be disclosed. The company believes that listeners have the right to know whether the voice they hear belongs to a person or a clone, or whether the melody was composed from scratch by an algorithm. This transparency can also help combat the growing public confusionStudies cited by platforms like Deezer indicate that approximately 97% of users cannot distinguish well between human and machine-generated music.
The saturation of the catalog not only affects the listener's experience, but also puts pressure on recommendation systems. With millions of tracks uploaded each year, many of them mass-produced by AI, platforms risk becoming an ocean of almost indistinguishable songs. That's why Apple is presenting its tags also as a way to order the ecosystem and to strengthen the visibility of the work of flesh-and-blood artists, especially in mature markets such as the European one.
This strategy aligns with a growing preference for authenticity. Digital behavior studies, such as those conducted by consulting firms like Deloitte, suggest that More than 60% of users value knowing how it is produced The cultural content they consume, especially when automated processes are involved. In music, where the artist's history and creative context are part of the product's appeal, this factor can ultimately become a competitive advantage for platforms that offer greater clarity.
How will the new Apple Music tags work?
The technical details are still being finalized, but the basic system architecture has already been drawn up. Apple has explained to its partners that the “transparency tags” These will be integrated into the standard metadata that accompanies each musical reference. This way, when a label or distributor uploads a song, album, or music video, they will have to indicate whether artificial intelligence has been used in any of the key elements.
The categories that will be marked separately include, at a minimum, four large blocksAlbum artwork and graphic design, musical composition (including instrumental parts), lyrics, and music videos. If, for example, a single's cover was generated using a visual model, but the music and vocals are entirely human, the system will only reflect this in the vocals. The same will apply to lyrics written using language models or to music videos created with synthesis tools.
In the first phase, part of the industry assumes that the labeling will be based on the statement from the companies themselvesThis opens up the debate about the extent to which all agents will be equally transparent. Some initial reports suggested the system would be optional, but Apple's latest messages to its partners indicate that... mandatory for new releases, at least in its ecosystem, something that would significantly change the current balance.
In addition to informing the listener, this classification will help feed Apple Music's internal algorithms. Although the company hasn't confirmed that it will penalize or relegate synth-pop music in its recommendations, there is speculation within the industry that users may be able to... set your preferences to encourage or limit the presence of this type of content in their personalized playlists and radio stations.
This approach aligns with what is already happening on other digital platforms. Social networks such as TikTok o Instagram They have begun to generally label content generated with artificial intelligence, both due to regulatory obligation and the need to curb misinformation and the deepfakesThe model that Apple Music intends to extend to the sound field is simply an adaptation of that same logic to the musical realm.
An increasingly distrustful (and better informed) listener
Regardless of what the platforms do, the reality is that the public is beginning to develop its own strategies for detecting AI-generated musicIn many genres, overly clean vocals, lacking natural breath or with very flat emotion, can raise red flags. Lyrics that are too generic, repetitive, or filled with metaphors that don't make much sense also raise suspicion, as do productions where all the instruments sound almost mechanically perfect.
However, experts warn that a single clue is not enoughA highly polished production or extensive use of digital retouching can make a human subject sound synthetic. That's why they recommend looking beyond the track: checking if the supposed artist It has a presence outside of streaming.with active social media presence, live performances, interviews, and media mentions. Platforms like Discogs, AllMusic, and even Wikipedia help to compare careers and discographies.
Another revealing factor is the pitching paceA real musician can take months or years to complete an album, while an AI-powered project can produce dozens of songs in just a few weeks. When a profile with virtually no prior history appears out of nowhere with several recent albums, all with very generic titles, the suspicion of automation grows stronger.
All of this explains why transparency is becoming a recurring demand among those who pay a monthly subscription to access these catalogs. Rather than banning AI-generated music, many users want to know what they're pressing play on and decide with discernment whether they prefer to support human artists, hybrid projects, or completely algorithmic creations.
Apple Music's new tags fit right in: they don't tell listeners what to listen to, but they do offer more context. In an environment where the line between imitation and originality is blurring, having this additional information can make all the difference in building trust with the platform and with the creators themselves.
With the catalog increasingly populated by synthesized songs, Apple Music's move is understood as an attempt to to bring order to chaos without turning our backs on technologyIt allows AI to remain in the studio, but requires disclosure of its involvement. While European regulations take shape and the industry tests different approaches to protect both artists and listeners, everything indicates that the future of streaming hinges on something as simple—yet simultaneously as complex—as clearly stating what lies behind each song.
