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Music Industry Rolls Out Labeling System for AI-Generated Songs
RIAA, IFPI, the Recording Academy and SAG-AFTRA have announced a joint two-tier labeling system for AI-involved music, which Spotify, Apple Music and other streaming services are expected to adopt.
The biggest organizations in the music industry have joined forces to push streaming services toward a clear system for labeling songs made with artificial intelligence. RIAA, IFPI, the Recording Academy (Grammy), SAG-AFTRA and several other associations announced on July 10, 2026 a proposal for two labels that would work similarly to the existing explicit-content warning.
The proposal distinguishes two levels of AI involvement in a recording. The first label, written in capital letters as AI on a black background, is meant to mark tracks where generative artificial intelligence created all or the main share of the creative elements, including a synthetic lead vocal, key instrumental parts, or an entire composition generated from a single text prompt. The second label, written in lowercase as ai on a white background, applies to recordings created primarily by humans, where AI is responsible only for individual elements, while the lead vocal and main instrumental parts are performed by people.
Who's Behind the Initiative
The project is backed by a broad coalition of organizations representing both major labels and the independent music sector: the US-based RIAA and the global IFPI as leaders, joined by the American Association of Independent Music, the Worldwide Independent Network, Europe's IMPALA, the Recording Academy (Grammy), the performers' union SAG-AFTRA, and the Human Artistry Campaign. Labeling information is meant to be submitted voluntarily by artists, labels and distributors, and ultimately reach streaming services as metadata and visible icons attached to each track.
Fans want to know whether and how generative AI has been used in the music to which they listen - Vikki Oakley, CEO of IFPI, and Mitch Glazier, Chairman and CEO of RIAA
Artists and fans alike deserve a clear way to communicate how and when it's being used - Harvey Mason Jr., CEO of the Recording Academy (Grammy)
By the Numbers
The data cited alongside the announcement shows how quickly machine-generated content is growing within music libraries. French service Deezer reported that in April 2026, as much as 44 percent of tracks newly uploaded to the platform were entirely generated by artificial intelligence. Apple Music, meanwhile, said that more than a third of uploaded recordings are songs created one hundred percent by AI. These numbers explain why labels and industry organizations have started pushing for a unified standard rather than leaving each platform with its own incompatible system.
Streaming platforms themselves had already begun rolling out their own solutions. Spotify launched a transparency system in April 2026 based on voluntary creator submissions, which the service says receives tens of thousands of submissions daily. Apple Music introduced its own labels in March, and Tidal in June began requiring distributors to identify AI-generated tracks before they're uploaded to the platform. The coalition's new proposal aims to unify these scattered efforts into a common standard recognizable regardless of where a listener plays their music.
What's Next
It remains unclear whether the major streaming services will formally commit to adopting exactly this labeling system, though Spotify and Apple Music have signaled they are working on more detailed AI-involvement labels. The proposed system does not currently cover the use of artificial intelligence in song lyrics, composition, music videos or album artwork, which industry organizations describe as an area requiring further discussion.
For the Polish music market, the issue has direct relevance, since domestic artists and labels distributing music through Spotify, Apple Music or Deezer would be subject to the same labeling rules as artists in Western markets, should the platforms decide to roll out the proposed standard globally. The question of reliably distinguishing human recordings from fully machine-made ones is also gaining importance in the context of copyright and royalty distribution.
Sources: RIAA (riaa.com), Music Ally (musically.com)
