Spotify to Show AI Tags When Artists Choose to Disclose It Themselves

Earlier this year, Spotify announced a set of rules aimed at addressing AI-related risks in music. These included stricter measures against voice and identity impersonation, along with a spam detection system designed to reduce low-quality or mass uploads. At the same time, the platform said it would move toward greater transparency around AI use by giving labels, distributors, and partners a way to indicate where and how AI was used in a track.

Now, it appears that Spotify is beginning to roll out or test the new transparency feature. Its approach to transparency differs from that of Deezer, which has developed its own AI detection tools to identify or scan uploads for synthetic content. Instead, Spotify’s approach relies on a voluntary framework where the label only appears if someone involved in the release actively provides the information.

The rollout is expected to be gradual, starting with selected partners before expanding more broadly. Spotify has not confirmed a final timeline and has indicated that the system may evolve depending on adoption levels and feedback from the industry.

Spotify’s AI labeling system is expected to rely on information provided by artists, labels, and distributors rather than an automated detection system for labeling itself. If AI involvement is disclosed during the release process, Spotify may attach a label to the track’s metadata and display it in areas such as song credits. If no disclosure is made, no label will appear.

Because the system is voluntary, it would not produce a complete or uniform record of AI use across Spotify’s catalog. Two similar tracks could be treated differently depending on whether disclosure is provided. This would make the visibility of AI involvement uneven by design. There is no confirmed requirement for artists or labels to report AI use, meaning the system relies on accuracy and honesty from rights holders, similar to traditional production credits.

At the same time, Spotify does use automated systems in other areas of the platform, such as detecting spam, fraudulent activity, and certain forms of AI-related abuse. These systems are separate from the disclosure-based labeling feature.

Spotify has indicated that AI disclosure labels are intended to be informational rather than evaluative. It is not currently confirmed that AI disclosure affects how music is recommended, ranked, or promoted. The presence of an AI disclosure is not intended to signal quality or value.

When implemented, the label is currently understood to appear in song credits, with the possibility of expanding to other areas over time. It is designed to be non-intrusive and not interrupt listening.

The approach has raised questions within the music industry. Some argue that voluntary disclosure avoids technical disputes over detecting AI use, while others worry it could lead to selective reporting based on perception rather than fact. In contrast, platforms like Deezer have taken a more active role in detecting AI-generated content and limiting its visibility in certain cases.

Alongside AI labeling, Spotify has introduced a new “Verified by Spotify” badge designed to signal that the profile represents a real, human artist rather than an AI-generated one. The badge appears as a checkmark on artist profiles and in search results. Spotify has explicitly stated that profiles primarily representing AI-generated or AI-persona artists are not eligible for verification. This means that even if AI-generated music is allowed on the platform, those creators cannot access the same authenticity signal as human artists.

This means that verification is not open to everyone. Spotify evaluates factors like sustained listener engagement and broader artist activity (such as social presence, touring, or merchandise) to determine eligibility. The company has also indicated that the concept of “artist authenticity” is evolving and that the system may change over time. For now, it seems to pursue a middle ground: Spotify is not aggressively filtering AI content, but it is adding signals to help users interpret what they are seeing.