NEW YORK — The music industry is moving to make artificial intelligence easier for listeners to spot.
A coalition of major music organizations, including the Recording Industry Association of America, IFPI, A2IM, WIN, IMPALA, The Grammys, SAG-AFTRA and the Human Artistry Campaign, announced a voluntary labeling program Friday designed to identify when generative AI has been used in sound recordings.
The proposal would create track-level labels for two categories: “AI-Generated” and “AI-Assisted.” The labels are intended for use across digital music services, distributors and other music partners.
Under the proposed framework, an “AI-Generated” label would apply when generative AI was used to create all or the primary creative elements of a recording. That could include an AI-generated lead vocal, a key AI-generated instrumental performance or an entirely prompt-generated song.
An “AI-Assisted” label would apply to recordings created substantially by humans but using generative AI for some expressive elements. Under that category, human artists would still perform the lead vocal and primary instruments.
The system does not currently cover AI use in lyrics, composition, music videos or cover art, according to the RIAA announcement. The organizations said the labels are designed to evolve as technology and legal requirements change.
The push comes as AI-generated music continues to grow rapidly across streaming platforms. Deezer said in April it was receiving nearly 75,000 fully AI-generated tracks per day, representing about 44% of daily uploads to its platform. The company also said AI-generated tracks made up only 1% to 3% of total streams on Deezer, with a majority of those streams detected as fraudulent and demonetized.
For record labels and artist organizations, the issue is not just whether AI can be used creatively. It is whether fans, artists and rights holders can tell the difference between human-made recordings, AI-assisted work and fully synthetic music.
The Wall Street Journalreported that the coalition plans to work with streaming platforms including Spotify and Apple Music to add labels indicating when AI was used to produce tracks. The AI use would be flagged voluntarily by artists, labels and distributors.
The proposal arrives at a tense moment for music and technology. AI tools can now generate songs from text prompts, imitate production styles and create convincing vocals within seconds. Supporters argue the technology can help artists experiment and produce faster. Critics say it can flood platforms with low-effort content, confuse listeners and create new risks around voice, likeness, royalties and consent.
For independent artists, the labeling effort could become especially important. Streaming already rewards volume, speed and algorithmic visibility. If synthetic music enters the same discovery channels without clear disclosure, human creators may find themselves competing against a growing supply of low-cost, mass-produced tracks.
At the same time, the proposed labels leave open a major question: Who verifies the disclosure? Because the program is voluntary, its impact will depend on adoption by streaming platforms, distributors, labels and creators.
Still, the move signals a shift in how the music business is framing AI. The conversation is no longer only about lawsuits or whether the technology should exist. It is now about transparency, trust and whether fans have the right to know how the music reaching their playlists was made.
As AI becomes more present in the recording process, the label on a song may soon matter almost as much as the credits.