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RIAA, IFPI & More Come Together to Create System for Tagging AI-Generated Songs
A coalition of major music-industry bodies — including IFPI, the RIAA, independent-label groups A2IM, WIN and IMPALA, The Grammys, SAG-AFTRA and the Human Artistry Campaign — has announced plans to create a standardised system for tagging AI-generated songs on streaming services. The proposal, likened to the existing "explicit" content label, would introduce two tags: "AI-generated" for tracks whose key instrumentals, lead vocals or entire creation stem from AI, and "AI-assisted" for tracks that use AI in parts while humans still perform the lead vocals and instrumentals. The move matters because it aims to give listeners clear, industry-wide transparency about how AI has been used in the music they hear, amid growing concern over authenticity and human artistry.
The initiative responds to fears that AI-generated tracks are eroding the royalty pool intended for human artists and rights holders; a recent Deezer report found that 44% of all daily uploads are now fully AI-generated. The major labels' lawsuit against AI firms Suno and Udio voiced similar worries about machine-generated content "drowning out" genuine recordings. The labels, which a press release says will arrive in the "near future", follow earlier steps by individual platforms: Deezer began auto-tagging AI recordings in 2025, Spotify and Apple Music introduced voluntary disclosure systems in 2026, and Tidal in June began requiring distributors to flag AI content before upload. Industry figures, including Apple Music's Oliver Schusser and DIMA's Graham Davis, stress that responsibility for accurate AI metadata must be shared across creators, labels, distributors and streaming services, working with standards bodies such as DDEX.
Steelman: both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Supporters argue that transparency about AI involvement serves the fundamental interest of listeners who deserve to know what they're consuming, particularly as concerns over authenticity and fair compensation for human artists grow acute. With AI uploads now comprising 44% of daily submissions, clear labelling provides essential protection to creators whose work and livelihoods are threatened by mass machine-generated content that doesn't require human skill, negotiation or pay. By analogy to existing content warnings, transparency enables informed consumer choice and preserves the integrity of the creative marketplace.
The case against
Critics contend that labelling AI involvement risks unfairly stigmatising legitimate artistic tools that have become standard in music production, potentially discouraging listeners from engaging with innovative work simply because its creation method differs. They argue that AI is merely another instrument—no different in principle from synthesisers, drum machines, or digital production software—and that focusing on production method rather than artistic merit sets a problematic precedent that could restrict creative freedom and disadvantage independent artists who leverage AI's democratising potential.