Apple Music launches ‘Transparency Tags’ to flag AI-generated content
Apple Music’s Transparency Tags should make it easier to spot AI-generated content.
- Apple Music has launched a new opt-in feature called ‘Transparency Tags’.
- This flags AI-generated songs, compositions, artwork, and music videos.
- However, the company is leaving it up to record labels and distributors to disclose AI content.
According to Music Business Worldwide, Apple Music has launched a new metadata system designed to identify AI-generated music and visuals on its platform. The feature, called ‘Transparency Tags‘, aims to improve disclosure of how AI tools are used in music production. However, it relies heavily on record labels and distributors reporting that information themselves.
The move brings Apple in line with rivals like Deezer and Qobuz, but ahead of Spotify. The latter has recently tightened its AI policies, but still lacks a clear labeling system for AI-generated tracks.
Transparency Tags explained
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According to details shared with MBW in a March 4 newsletter to industry partners, Apple plans to introduce four tags indicating where AI has been used in a release. These tags cover both the audio and visual sides of a music release:
- Track: Indicates that a material portion of the sound recording was generated or modified using AI tools.
- Composition: Applies when AI contributes to songwriting elements such as melodies or lyrics.
- Artwork: Flags AI-generated album or single artwork, including static or motion graphics.
- Music Video: Identifies AI-generated visual elements in music videos or other visual content tied to a release.
Apple says the system is intended to increase transparency around AI use. In the newsletter seen by MBW, the company described proper tagging as “the first step in giving the music industry the data and tools needed to develop thoughtful policies around AI.”
Disclosures remain voluntary (for now)
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While the tagging system provides structure for identifying AI-generated content, it’s the record labels and distributors’ responsibility to apply those tags when submitting content to Apple Music. Unfortunately, that creates an obvious limitation. Because the system depends on self-reporting, it doesn’t guarantee that every AI-assisted track will actually be tagged. Record labels can choose not to disclose AI involvement, particularly if they believe the tag could affect listener behavior or streaming performance.
From a listener’s perspective, an AI label might carry a stigma, even if AI only contributed to a small part of the creative process. If listeners assume a tagged song is entirely machine-generated, they may skip it outright, which could impact streaming numbers. Reports suggest the current system could be a first step toward mandatory disclosure. However, Apple has not confirmed whether the tags will eventually become required for uploads.
A response to the surge in AI-generated content
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The push for better labeling comes as AI-generated music continues to grow rapidly. Tools from companies like Suno and Udio now allow users to create fully generated songs in seconds. According to reports, Suno alone produces millions of songs each day. This highlights how quickly AI-generated content can scale compared to traditional music production.
Streaming platforms are already feeling the effects. For example, Deezer recently launched an AI detection system that flags generative tracks and prevents fraudulent royalty claims. The platform reported that up to 85% of all streams on AI-generated music were fraudulent in 2025. Spotify also updated its policies to remove songs that impersonate artists’ voices without consent and implemented filters targeting spam uploads. However, despite those changes, Spotify has not yet introduced a visible AI labeling system similar to Apple’s proposed tags.
What happens next?
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It’s not certain when listeners will begin seeing Transparency Tags on the platform. However, the company has begun briefing industry partners, indicating the feature will launch soon. If the system evolves into a mandatory disclosure requirement, it could become one of the clearest attempts yet to label AI-generated music at scale. For now, the approach leaves a significant gap where transparency only works if creators choose to participate. As AI-generated music continues flooding streaming platforms, the question for listeners isn’t just whether AI should be allowed, but whether they’ll be able to tell when it’s being used.
