Spotify Launched a Beta Feature Showing AI Credits in Song Info

Spotify launched a beta AI Credits feature showing how AI was used in songs, but the system relies entirely on voluntary artist disclosure through labels and distributors.

April 23, 2026
Spotify

Spotify has begun rolling out a beta feature that displays AI use disclosures within the Song Credits section of its mobile app, the platform confirmed in an update to its September 2025 AI commitments blog post. The rollout started with DistroKid users and will expand to other distributors in the coming weeks. It is the most visible product step any major streaming platform has taken toward AI transparency at the listener level, and it comes with a significant asterisk: the system is entirely voluntary, dependent on artists choosing to disclose through their label or distributor, and Spotify acknowledges directly that “the absence of AI credits doesn’t mean AI wasn’t used.”

The feature, called AI Credits, lets listeners see how AI contributed to specific elements of a track, whether that is vocals, lyrics, instrumentals, or production. Spotify is careful to frame it narrowly: “AI credits show how AI contributed to the song, not that the entire track is AI-generated.” The distinction matters because the most commercially sensitive AI use cases in music are not fully AI-generated tracks but hybrid productions where AI tools were used at one or more stages of the creative process. Giving listeners granular information about which elements involved AI, rather than a binary flag, is a more nuanced approach than most of the industry has taken so far.

The disclosure system is built on the DDEX standard, an international metadata framework that Spotify has been developing with distributor partners including DistroKid, CD Baby, Believe, EMPIRE, and others. The idea is that once the standard is broadly adopted, AI use data can travel through the existing music supply chain as metadata, the same way writer and producer credits do today. Spotify’s global head of marketing and policy Sam Duboff framed the approach on the company’s On the Record podcast last September: “The starting point has to be shared language through the existing supply chain of music about what the formatting of that will be.” The beta launch represents the first tangible product execution of that language.

The broader industry context in which this feature is launching makes the voluntary disclosure model both understandable and inadequate at the same time. Deezer has taken the most aggressive approach of any major streaming platform, using proprietary detection technology to automatically flag tracks it identifies as fully AI-generated and removing hi-res versions of such content from its servers. As of April 20, Deezer reported 75,000 AI-generated tracks being uploaded to its platform daily, representing 44% of all new music delivered. Spotify’s approach does not attempt to detect AI use at the platform level. Apple Music launched its Transparency Tags system in March, placing disclosure responsibility on labels and distributors at the point of delivery, but those tags are currently optional and similarly depend on self-reporting. The three approaches reflect a fundamental split in strategy across the major platforms: active scanning versus supply-chain disclosure versus hybrid metadata standards.

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The weakness of any voluntary disclosure system is structural. Artists who have used AI to replicate another artist’s voice or style have no incentive to disclose. Artists who are concerned about listener backlash against AI use have no incentive to disclose. Artists whose distributors have not yet implemented DDEX fields cannot disclose even if they want to. Spotify acknowledges all of this directly: “Not all distributors enable artists to disclose yet, but we intend to expand this more broadly over time.” The practical implication is that listeners will see AI credits on tracks where artists are either proud of their AI use or indifferent to disclosing it, which is not the same population as artists who are using AI in ways that raise questions about authenticity, originality, or rights.

Spotify has been working to build the structural conditions for broader AI transparency in parallel. In October 2025, the company announced partnerships with all three major music companies, Sony, UMG, and Warner, as well as Merlin and Believe, to develop what it described as “responsible” AI music products. The company also removed more than 75 million “spammy tracks” from its platform in the year leading up to its September 2025 AI commitments announcement. The AI Credits beta is one piece of a larger framework that Spotify says it intends to evolve as the landscape develops, and the platform is direct that it does not consider the current implementation a complete solution. “Building a truly comprehensive system is a challenge that requires industry-wide alignment, but we didn’t want to wait to get started,” Spotify wrote in the updated blog post.

What that honest self-assessment reveals is that the music industry is still in the early stages of solving a problem that is already massive in scale. The broader question of what labels are doing with AI training rights in artist contracts, and whether opt-in commitments from executives translate into actual artist control, makes the disclosure question one piece of a much larger rights and compensation framework that is still being negotiated. AI Credits in Spotify’s Song Credits section is a starting point, and Spotify is saying as much. Whether it becomes something more depends on how quickly the rest of the supply chain gets aligned behind the same standard.

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