AI slop tops Billboard and Spotify charts as synthetic music spreads

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.

Is this Billboard Hot 100 hit AI slop?

Probably.

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).

Half a million Spotify users are unknowingly grooving to an AI-generated band

A supposed band called The Velvet Sundown has released two albums of AI slop this month.

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.

The Millions of Songs Mashed Into AI-Generated Music

Explore the astonishing amount of music available to AI developers.

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

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.

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.

Inside the Don’t Ask, Don’t Tell Era of AI in Music

From juicing demos to cloning vocals, AI music tools are creeping into the workflows of top producers, songwriters and artists. It’s mostly happening behind closed doors — for now

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.

Hello Local Business, Your AI Ads Are Costing You Customers

'Even if this was a genre popularised by human artists, it would still look like shit'

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!

‘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