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Universal Music Group, Sony Music, and Warner Music Group have jointly proposed that AI-generated songs be ruled ineligible for music charts — a position that goes well beyond simple disclosure labels and could reshape how AI-assisted music is made and distributed.
According to The Verge, the Big Three's proposal would strip chart eligibility from AI-generated tracks outright — not require a label, not add a disclaimer, but remove the song from competition entirely. The RIAA and IFPI had already floated a softer approach: disclose AI involvement and let listeners decide. The labels want a harder gate.
Charts matter more than they might appear to. Billboard, Spotify's algorithmic charts, and their equivalents are the primary discovery surface for new music. A track that can't chart is effectively locked out of playlist algorithms, radio consideration, and the sync licensing deals that generate real revenue. For anyone building an AI music project with commercial ambitions, ineligibility isn't a footnote — it's a ceiling.
Major labels are pushing to make AI-generated tracks ineligible for music charts entirely.
Image: The Verge / The Verge AI
The proposal's biggest weakness — and the most consequential open question for creators — is that "AI-generated" remains undefined. Does a track qualify if an artist used AI to generate a chord progression but performed and mixed everything else? What about AI-assisted vocal tuning, which has been standard in pop production for two decades? What about an AI-written lyric delivered by a human singer?
This definitional gap is where the real policy battle will be fought. The labels have an obvious incentive to draw the line broadly; independent artists and producers using tools like Suno, Udio, or even AI-assisted stem separation have an equally obvious incentive to draw it narrowly. Until a chart body — Billboard, the Official Charts Company, or a streaming platform — formally adopts a definition and enforcement mechanism, the proposal is a lobbying position, not a rule.
The pattern is familiar. LinkedIn recently rolled out a dedicated "Seems like AI slop" reporting option as platforms scramble to respond to AI-generated content without clear standards for what that means. Music is now facing the same definitional pressure, with higher commercial stakes.
For AI-art creators who also work in music — generating soundtracks, ambient loops, or character voice work — the immediate practical impact is limited. Chart eligibility only matters if you're releasing commercially. But the proposal signals a broader industry posture: AI-generated content will face structural disadvantages in distribution, monetization, and visibility, not just public skepticism.
The same detection infrastructure being built for images is coming for audio. Pangram's new AI image detection model is an early example of the tooling that labels and platforms will eventually deploy to enforce whatever definition they land on. Creators who blend AI tools with substantial human creative work — rather than generating tracks end-to-end — are likely to be in a more defensible position, both legally and algorithmically, once enforcement actually begins.
No chart body has formally adopted the proposal. The next move belongs to Billboard, the streaming platforms, and the regulatory bodies the labels are lobbying — and the definition they write will matter far more than the proposal itself.
