Major labels demand AI disclosure tags and stricter chart eligibility
Music industry coalitions led by the RIAA, UMG, and Sony Music have proposed standardized AI disclosure labeling for streaming services and new chart eligibility criteria. The initiatives seek to distinguish human-made content from AI-generated or AI-assisted works as platforms grapple with an increasing volume of automated uploads.
Key Takeaways
- Apple Music reported that fully AI-generated tracks constitute roughly one-third of all monthly uploads as of April 2026.
- Deezer data shows AI-generated content peaked at over 50% of daily uploads in June 2026.
- Proposed chart rules require songs to be 'substantially human made' and created via authorized, licensed AI models to qualify for rankings.
- The IFPI has already implemented these AI chart principles across rankings in Australia, Southeast Asia, and the MENA region.
- DSPs including Tidal and Deezer currently tag fully AI-generated tracks, but the new proposal demands tags for AI-assisted works as well.
Why It Matters
The proposal marks a shift from litigation to technical standardization as labels attempt to prevent AI content from diluting the royalty pool and chart relevance. For DSPs like Spotify and Apple Music, implementing these labels requires building a complex metadata pipeline for 100,000 daily uploads while relying on voluntary uploader disclosure. This creates a friction point between platforms prioritizing volume and labels protecting IP value. The ecosystem is moving toward a tiered content hierarchy where 'human-made' acts as a premium brand. Watch for whether Billboard and the UK's Official Charts Company adopt these eligibility rules, which would effectively codify the exclusion of unlicensed AI models from mainstream commercial success.
Additional Context
The push for AI transparency follows a period of aggressive legal maneuvering by the recording industry. In June 2024, the RIAA filed landmark lawsuits against AI music startups Suno and Udio, alleging mass copyright infringement for training models on unlicensed catalogs. Per Billboard, June 2024, the labels argued that these services produce 'output' that directly competes with human artists using their own copyrighted works as the foundation. This legal pressure has accelerated the need for technical solutions like the Human Generative Workflows campaign, which seeks to establish clear boundaries between assistive tools and generative replacements.
Simultaneously, the regulatory environment is tightening globally. In May 2024, the European Union finalized the AI Act, which includes specific transparency requirements for generative AI models, forcing providers to disclose when content is artificially generated. More recently, in the U.S., the 'NO FAKES Act' was introduced in the Senate in July 2024 to protect the voice and likeness of individuals from unauthorized AI simulations. These legislative efforts provide the legal backdrop for the labels' current demands for DSP-level labeling.
Streaming services are also facing internal pressure to manage the 'junk' content problem. Per Financial Times, May 2023, Universal Music Group previously urged streaming platforms to clean up 'functional' content like white noise and AI-generated ambient tracks that siphon royalties away from professional artists. Spotify responded by updating its royalty model in early 2024 to require a minimum of 1,000 annual streams before a track can earn payouts, a move designed to demonetize low-engagement AI uploads. The current proposal for AI chart principles is the next logical step in this effort to segment the streaming supply chain by origin and quality.
Read full article at billboard.com
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