43% of people joining Deezer from other streaming platforms already have AI music in their playlists
Deezer launches an AI music detector for other streaming services
Feed Deezer your playlists to find the AI slop.
Deezer: AI-generated tracks now represent 44% of all new uploaded music - Deezer Newsroom
As the only streaming platform tagging AI-generated music, Deezer now reveals that nearly 75,000 AI-tracks are uploaded every day
Deezer says 44% of new music uploads are AI-generated, most streams are fraudulent
AI tracks account for a small fraction of Deezer streams, and most are demonetized for fraud.
Soulless: List of AI Artists Hiding on Spotify
Soulless: AI music is stealing from real artists. AI music analyzer (open source).
Soulless: List of AI Artists Hiding on Spotify
Soulless: AI music is stealing from real artists. AI music analyzer (open source).
AI music is flooding streaming platforms. But listeners like it less and less
Music fans are becoming increasingly uncomfortable with AI songs, according to a recent study.
The Millions of Songs Mashed Into AI-Generated Music
Explore the astonishing amount of music available to AI developers.
Spotify's AI Problem Is So Bad Random People Are Stepping In to Track the Slop
Spotify doesn’t label AI music on its platform, so websites like SoullessMusic.com and SlopTracker.org do it instead.
Deezer and Ipsos study: AI fools 97% of listeners
Deezer and Ipsos unveil a unique study exploring perceptions around AI and music, conducted across 8 countries. Discover the surprising results!
AI music tools challenge Bay Area musicians
AI music tools challenge Bay Area musicians: As affordable AI platforms spread, artists debate creativity, copyright and survival.
Millions of Copyrighted Songs Were Fed to AI Music Generators – Now There's Proof
Millions of copyrighted songs trained AI music generators, and new searchable databases from The Atlantic now confirm which tracks were used.
AI has already ruined music
SlopTracker — Exposing AI-Generated Artists on Spotify
AI-generated artists are flooding Spotify, racking up millions of streams, and siphoning revenue from real musicians. See the receipts.
HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have catalyzed the adoption of AI-driven methodologies in diverse forms. These include vocal synthesis, arrangement, and professional mastering. However, current detection research remains largely confined to a binary `AI-or-human' paradigm. It fails to reflect the realities of contemporary music production workflows. In real-world production, AI tools are increasingly used to refine or master human-produced tracks, and human engineers likewise post-process AI-generated material to ensure professional quality. Moreover, users often employ adversarial tactics to bypass AI detectors, such as applying human mastering to AI-generated tracks. This creates a grey area that a simple binary classification fails to capture. In this paper, we define and investigate ``AI Music Tracking'': the challenge of identifying specific AI integration across the multifaceted spectrum of music production. To this end, we introduce HAIM, a dataset with diverse labels for stages of music production. It is designed to isolate stages of AI intervention, including hybrid production and agent-level tracking. Our evaluation of state-of-the-art detectors reveals systemic flaws. By releasing HAIM, we propose a new benchmark that shifts the field beyond binary classification toward a granular, structured evaluation of AI music.
‘It has your name on it, but I don’t think it’s you’: how AI is impersonating musicians on Spotify
Fraudulent music streams have long been a scourge for the industry, but experts say generative AI has supercharged it
