Deezer reports over 50% of daily uploads are AI-generated music, takes action against fraud

AI-Generated Music Crosses the 50% Threshold on Deezer

The music streaming platform Deezer has disclosed that AI-generated music now accounts for more than 50% of daily uploads, marking a significant milestone in the ongoing transformation of the music industry. In June 2026, AI-generated tracks peaked at an average of 90,000 uploads per day1

1

. This represents a dramatic acceleration from just 18 months earlier, when AI music constituted only 10% of daily uploads at around 10,000 tracks in January 20251

1

.

The trajectory reveals a consistent upward trend: from 18% in April 2025 to 28% in September 2025, then 34% in November 2025, climbing to 39% in January 2026 and 44% by April 20261

1

. This growth pattern suggests the flood of AI-generated tracks shows no signs of slowing, forcing streaming services to confront fundamental questions about content authenticity and artist rights.

Deezer Takes Aggressive Stance on Combating Fraudulent AI-Generated Tracks

In response to this surge, Deezer CEO Alexis Lanternier announced stricter measures to protect artists and songwriters. The platform will systematically remove AI-generated tracks that haven't been streamed in the past six months or are involved in streaming fraud1

1

. "Deezer has been at the frontline of fighting fraud and reducing payment dilution related to AI music for almost two years," Lanternier stated1

1

.

Streaming fraud represents a critical concern, as bad actors bulk upload low-quality AI-generated music to manipulate streaming royalties. By flooding platforms with thousands of AI slop tracks, fraudsters aim to capture a larger share of royalty payouts, even with minimal listens per track3

3

. According to Deezer's data, while AI tracks account for only 1-3% of streams on the platform, up to 85% of those streams are identified as fraudulently manipulated2

2

.

Advanced AI Detection Technology Identifies Suno and Udio Tracks

Deezer's AI detection capabilities have become increasingly sophisticated since the company began labeling AI music last year. The platform claims its detection technology achieves a 99.8% success rate by identifying specific artifacts in audio signals that generative software leaves behind2

2

. Notably, the system can identify AI-generated music created with models from Suno and Udio, two AI-music startups currently facing copyright lawsuits1

1

.

This technical capability matters because Deezer's research shows that 97% of listeners cannot distinguish between AI-made music and human-made music in blind tests2

2

. The detection gap between human perception and machine identification underscores why automated AI detection tools have become essential for maintaining listener transparency and protecting the integrity of music catalogs.

Free AI Music Detector Tool Scans Playlists Across 20 Platforms

Expanding its efforts beyond its own platform, Deezer released a free AI music detector tool that works across 20 different streaming services, including Spotify and YouTube Music, and can analyze up to 100 playlists without requiring a Deezer account2

2

. Users simply connect their streaming account, and the tool scans their library to identify AI-generated music. According to Deezer, 43% of people who migrate to the platform from alternatives like Spotify or Tidal have some AI tracks in their playlists2

2

.

The tool provides a percentage score indicating how much AI content exists in a user's library, though it doesn't specify which individual songs are AI-generated. Earlier this year, Deezer made its detection technology available to other platforms, though adoption by major streaming services remains unclear1

1

.

Industry Fragmentation on AI Music Policies

The streaming industry lacks consensus on how to handle AI-generated tracks. While Bandcamp has banned such content entirely and Tidal cut off monetization, Apple Music implemented a voluntary AI-tagging system, and Spotify developed its own policies around AI usage in music-making1

1

. Deezer's approach focuses on labeling rather than outright bans, automatically excluding AI music from recommendations and editorially curated playlists while allowing it to remain on the platform3

3

.

This fragmented landscape creates challenges for both artists and listeners navigating the evolving music ecosystem. As AI-generated tracks continue their rapid growth trajectory, the industry faces mounting pressure to establish clearer standards that balance technological innovation with the protection of human creativity and fair compensation for artists.