AI Chart Rules Ask About the Record Not the Song
The music world is currently wrestling with a fascinating new challenge: how do you chart, label, and define ownership when artificial intelligence is composing the soundtrack to our lives? The industry is scrambling to catch up, setting new rules for what qualifies as eligible music on official charts.
A major shift occurred when the International Federation of Press Organizations (IFPI) began applying new chart eligibility principles across official charts in Latin America, the Middle East, Africa, and Southeast Asia on July 30. This move signaled a push to introduce clarity regarding the role of generative AI in recorded music.
The core rule is clear: a recording made with generative AI is only eligible if the AI service was authorized and lawful, the track is “substantially human made,” and there are no concerns about stream or chart manipulation. Eleven record companies, including the major players, spearheaded this initiative, setting the stage for a complex new landscape.
To address this, a proposed labeling framework introduced a subtle distinction. The system suggests an uppercase “AI” for tracks where the lead vocal, key instrumental, or the entirety of the track originated from a model. Conversely, a lowercase “ai” is suggested for human-performed records where the model may have touched some expressive element.
However, the framework deliberately sets boundaries. It explicitly states that this current system does not cover the use of generative AI in lyrics, composition, music videos, or cover art—meaning the entire songwriting stage remains outside this immediate scope.
This distinction points to a fundamental tension in the industry. The rules focus heavily on the final recording, which leaves an acoustic fingerprint that can be analyzed. But composition presents a different puzzle. Since there is no spectral signature for a chord progression, there is no forensic test to separate a model’s work from a human’s, making the definition of “substantially human made” a matter that currently “nobody can check.”
The challenge isn’t just technical; it’s philosophical. While the charting side addresses the recording, writers are already grappling with separate rules at the registration stage. Organizations like ASCAP, BMI, and SOCAN have already advised writers not to fully register works created entirely by AI, creating a parallel system focused on authorship.
Ultimately, the onus lands squarely on the creator. The question is no longer just about which sticker the track ends up carrying, but about the process itself. As listeners begin to sort themselves, with studies showing a shift in interest regarding AI-made music, the industry is conceding that this is a decision rather than a limit. Songwriters are now navigating a system where the rules are still hardening, demanding a transparent approach to where creative authorship truly resides.
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