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Music Industry Creates Two-Label System to Tag AI-Generated Songs

The new tags will distinguish between fully AI-generated tracks and songs that are only AI-assisted, with rollout expected in the near future.

The logo of CBC Music – Canadian radio station and streaming music website from 2016date QS:P,+2016-00-00T00:00:00Z/7,P580,+2016-00-00T00:00:00Z/9
The logo of CBC Music – Canadian radio station an…      Riaa Music Industry    Canadian Broadcasting Corporation - Canadian public broadcaster / Wikimedia Commons (Public domain)
By Free News Press Editorial Team
Published July 10, 2026 at 1:17 PM PDT

Major music organizations have joined forces to build a labeling system for AI-generated songs on streaming platforms, according to a report by Billboard. The new framework would work much like the explicit content labels already familiar to listeners, applying visible tags to songs based on how much artificial intelligence was involved in their creation.

The organizations behind the effort include the IFPI, RIAA, the American Association of Independent Music, the Worldwide Independent Network, the European independent music companies association IMPALA, The Recording Academy, SAG-AFTRA and the Human Artistry Campaign.

The committee is proposing two distinct tags. The first, labeled "AI-generated," would apply to songs where AI played a role in key instrumentals, lead vocals, or where the track was created entirely through a prompt. The second tag, "AI-assisted," would cover songs where humans still perform the lead vocals and instrumentals but AI was used in some capacity. A press release from the group states the labels will be made available in the "near future."

"Fans want to know whether and how generative AI has been used in the music to which they listen," Vikki Oakley, CEO of IFPI, and Mitch Glazier, chairman and CEO of RIAA, said in a joint statement. "Given how important human artistry and authenticity is to music lovers all over the world, these labels will provide an immediately understandable and easily scalable approach to transparency. We acknowledge the many ways AI is being used creatively, so we expect to offer fans additional information as adoption of generative AI labeling grows and technology evolves."

Ian Harrison, CEO of A2IM, emphasized the role of trust in the music ecosystem. "The independent community knows the magic of music lives in an authentic connection between artists and fans," he said. "Technology will keep offering new ways to make and enjoy music, but that bond still runs on trust. As questions of integrity, authenticity and provenance grow, that trust depends on people knowing what's real. That's why A2IM supports the whole industry coming together behind a clear, shared standard for labeling AI."

The urgency behind the initiative is tied to rapidly shifting numbers on streaming platforms. According to a recent report from French streaming service Deezer, 44% of all daily uploads are now fully AI-generated. That figure has alarmed much of the music industry establishment, which fears AI content is already cutting into the royalty pool built for human artists and rights holders.

That concern has surfaced in court as well. In the major music companies lawsuit against AI companies Suno and Udio, the labels warned that these companies could "saturate the market with machine-generated content that will directly compete with, cheapen and ultimately drown out the genuine sound recordings on which [the services were] built."

Deezer was an early mover on this issue. The French streaming service adopted its own system in 2025 for automatically detecting AI-generated content. The new industry-wide effort signals that the broader music world is now trying to get ahead of the problem with a shared and standardized approach rather than leaving individual platforms to act alone.

Logo of the organization Music Canada
Logo of the organization Music Canada      Riaa Music Industry    Music Canada / Wikimedia Commons (Public domain)