Apple Music is About to Expose Every AI Song on Your Playlists

According to an email sent to music industry partners, Apple Music will start displaying visible “Made With AI” labels to listeners, starting later this year, Billboard is reporting.

The new feature turns what was previously a passive background tracking effort into a public declaration. Back in March, Apple quietly rolled out Transparency Tags behind the scenes. This system allowed distributors to include metadata notes when uploading content to Apple Music.

The original framework let creators voluntarily flag four distinct creative areas where artificial intelligence was used i.e. the audio track itself, the underlying musical composition or lyrics, the cover artwork, and the music video. At first, submitting these disclosures was entirely optional. However, under the new update, applying these tags will no longer be a choice.

Apple has informed its industry partners that they are now required to use an AI Transparency Tag in any situation where AI was used to create a material portion of the content. This rule explicitly applies to songs built using generative software platforms like Suno or Udio. In the email, Apple defined AI-platform-generated releases as anything “primarily derived from a generative AI service”.

The streaming giant explained that it is placing the responsibility directly on content providers because distributors and record labels are best positioned to know how their songs were produced.

Even though Apple maintains its own internal detection tools to spot synthetic audio files, the company is still relying on distributors to self-report honestly. Apple has not yet shared how it plans to punish distributors who bypass the rule or fail to disclose AI usage, nor has it given an exact calendar date for when listeners will start seeing the new badges.

Other music streaming services like Deezer have been working on automated detection tools to catch undisclosed synthetic audio, while platforms like Tidal have also been exploring similar tagging experiments.