Apple Music to tag AI-generated songs this year
Developing story first seen 3 hours ago
Apple Music announced plans to label tracks produced substantially with artificial intelligence tools, requiring record labels and distributors to disclose AI usage when uploading content. The initiative builds on transparency systems introduced in March and comes as Apple's vice-president has noted that more than one-third of platform submissions are entirely AI-generated.
The move reflects industry-wide efforts to standardise how AI music is handled across streaming services. Spotify and Tidal have already implemented comparable labelling schemes, whilst major music industry organisations have collectively endorsed clearer AI disclosure requirements. The announcement highlights the music sector's ongoing process of integrating AI tools through varied strategies including legal action, licensing agreements, and competing product development.
- Apple Music to launch 'Made With AI' labels for AI-generated tracks by end of 2026
- Record labels must self-report songs where AI created a material portion of content
- Follows similar transparency initiatives by Spotify, Tidal, and industry advocacy from RIAA, Grammys, SAG-AFTRA
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Apple Music is introducing labels that show when a song was made largely using artificial intelligence tools, so listeners can see at a glance how a track was produced. Under the plan, record labels and distributors will have to declare AI involvement when they upload music to the platform. This follows earlier transparency measures Apple brought in back in March.
The change comes against a backdrop of AI-generated music becoming increasingly common, with an Apple executive noting that over a third of tracks submitted to the platform are now made entirely by AI. Streaming rivals Spotify and Tidal have already brought in similar labelling systems, and industry bodies representing musicians and labels have called for clearer disclosure rules across the sector.
More broadly, the move fits into a wider reckoning within the music industry over how to handle AI, with companies pursuing different responses ranging from lawsuits and licensing deals to building their own AI tools. The debate touches on questions of transparency for listeners, fair credit and payment for human artists, and how streaming platforms should adapt as AI-made content grows.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Supporters see labelling as a straightforward transparency measure that respects listeners' right to know what they are hearing, especially given that Apple's own data shows over a third of submissions are wholly AI-generated. They argue it protects human musicians from being unfairly crowded out or misrepresented, helps combat fraud such as bot-driven streaming farms exploiting AI tracks, and gives consumers meaningful choice, much as ingredient labelling does in other industries. Aligning with Spotify and Tidal also creates a consistent industry standard rather than a patchwork of rules.
The case against
Sceptics worry that mandatory tagging risks stigmatising a legitimate and rapidly maturing creative tool, potentially steering listeners away from tracks based on their means of production rather than their merit. They contend that defining what counts as 'substantially' AI-generated is inherently fuzzy, given how many human artists already use AI-assisted mixing, mastering or composition tools, which could create inconsistent or unfair enforcement. Some also see this as platforms and labels using disclosure rules to manage reputational risk and forestall regulation, rather than a genuinely neutral service to listeners, and fear it could disadvantage independent artists experimenting with new technology.
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Originally published by Variety as “Apple Music to Label AI-Made Tracks Later This Year”.