Editorial illustration for Deezer's AI tool targets royalty theft from mass‑produced AI music
Deezer Fights AI Music Royalty Theft with New Tool
Deezer's AI tool targets royalty theft from mass‑produced AI music
Why should anyone care about a streaming service’s new tech? Because the flood of AI‑generated tracks is already testing the limits of existing royalty systems. While the novelty of algorithmic compositions grabs headlines, the real issue lies in who gets paid when a song isn’t written by a human.
Regulators and rights‑holders have warned that mass‑produced AI music can be uploaded en masse, muddying the waters for legitimate creators. Here’s the thing: without a way to separate genuine works from synthetic ones, royalties could slip through the cracks, leaving artists without compensation for their labor. The partnership between tech and the music industry is now being put to the test, as platforms scramble to flag content that might be siphoning earnings.
Deezer’s response has been to roll out a detection system aimed at curbing that exact problem. The company says it has used the tool to identify and tag more than 13.4 million AI songs in 2025, even as the f
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Deezer launched its AI music detection tool last year as part of efforts to "prevent fraudulent actors from stealing royalties from real artists through mass produced AI-generated music." The company says it has used the tool to identify and tag more than 13.4 million AI songs in 2025, even as the flood of AI-generated tracks continues to grow. Deezer claims its tool can detect AI songs with a 99.8 percent accuracy rate. Read Article >ElevenLabs made an AI album to plug its music generator ElevenLabs has released an album of AI-generated songs in its latest attempt to separate itself from the ethical concerns surrounding AI music. The Eleven Album aims to showcase "how artists can use AI to expand their creative range while maintaining full authorship and commercial rights," according to ElevenLabs.
Deezer’s detection system now flags millions of AI‑generated tracks, a figure the company cites as 13.4 million in 2025. That scale suggests the tool can sift through a flood of content that would otherwise drown out genuine creators. Yet the broader picture remains murky.
AI has already woven itself into sampling, demo recording, liner‑note generation and playlist curation, and the article flags technical, legal and ethical knots that have yet to be untangled. Critics warn that sheer volume could marginalise working musicians, but whether Deezer’s tagging actually curbs royalty theft is still unclear. The piece asks whether AI output counts as art or merely algorithmic noise, and it notes ongoing debates about what constitutes “real” activity in music creation.
Without independent verification of Deezer’s claims, the impact of its tool on the industry’s financial flows stays uncertain. As AI continues to pervade every stage of music production, the effectiveness of detection measures will likely be judged against evolving legal standards and the willingness of platforms to enforce them.
Further Reading
- How to Detect AI Music: Deezer Sells Its Detection Tool - Deezer Newsroom
- 60000 AI tracks hit Deezer daily as platform moves to license detection tech to wider music industry - Music Business Worldwide
- Deezer makes it easier for rival platforms to take a stance against AI-generated music - TechCrunch
- Deezer opens its AI music detection tool to rival streaming services - SoundGuys
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Common Questions Answered
How accurate is Deezer's AI music detection tool?
Deezer claims its AI detection tool has a 99.8 percent accuracy rate in identifying AI-generated music. The company has used this tool to tag over 13.4 million AI songs in 2025, demonstrating its effectiveness in detecting mass-produced algorithmic compositions.
Why is Deezer developing an AI music detection system?
Deezer aims to prevent fraudulent actors from stealing royalties from legitimate artists through mass-produced AI-generated music. The detection tool helps protect real creators by identifying and flagging AI-generated tracks that could potentially flood streaming platforms.
What implications does AI-generated music have for music royalties?
AI-generated music poses significant challenges for existing royalty systems by allowing mass uploads of algorithmic compositions that can potentially drown out genuine artist works. The flood of AI tracks complicates rights management and creates ethical and legal uncertainties for content creators and streaming platforms.