Major Record Labels Push for AI Music Rules to Block Chart Eligibility

The three largest music publishers—Universal Music Group, Sony Music, and Warner Music Group—along with several other labels have unveiled a framework aimed at restricting artificially generated music from dominating official rankings. Under their proposal, tracks composed largely or entirely by AI systems would face exclusion from international charts unless they satisfy a set of new requirements.

Eligibility Criteria#

The labels' framework establishes several conditions that AI-assisted recordings must meet to qualify for chart consideration:

• Songs must be determined as "substantially human made," though the labels have not yet provided a precise definition of this standard
• The generative AI tools used must operate within legal bounds and proper authorization
• Tracks cannot suggest evidence of streaming or chart manipulation tactics
• Recordings must respect the terms of service for any AI platform utilized in their creation
• The AI models themselves must have valid rights to their training data
• Consumer-facing platforms must clearly label any AI involvement in the music's creation

As currently framed, several criteria remain ambiguous, and the labels have not yet offered clarification on what "substantially human made" actually entails or how authorities would measure it.

Beyond Earlier Labeling Standards#

This effort goes further than an earlier initiative supported by the Recording Industry Association of America, the International Federation of the Phonographic Industry, and other stakeholders. That previous approach focused solely on standardized tags to identify music created or enhanced with AI technology. The new labels' proposal combines labeling requirements with actual chart access restrictions.

The International Federation of the Phonographic Industry has endorsed the framework, though no major charting platform—such as Billboard—has yet committed to implementing these rules.

Implementation Uncertain#

Despite backing from industry heavyweights, substantial questions remain unresolved. The specifics of stream manipulation concerns and the threshold for human authorship remain deliberately vague, raising questions about how charts would enforce such policies in practice.