Deezer Says 75,000 Fake Songs Hit Their Platform Every Single Day — 44% of All Uploads
Deezer Says 75,000 Fake Songs Hit Their Platform Every Single Day — 44% of All UploadsNearly half of everything uploaded to one of the world’s biggest music platforms isn’t made by humans anymore. And 85% of those plays? Total fraud.
75,000 AI tracks per day. 2+ million per month. Only 1-3% of actual streams. And 85% of those streams are fake bots designed to steal royalty money from real artists.
Deezer — the French streaming service with 16 million paying subscribers — just dropped numbers that are honestly bonkers. Their AI detection tool has been running since early 2025, and what it found is that the flood of robot music isn’t slowing down. It’s accelerating. From 10,000 AI tracks per day in January 2025 to 75,000 now. That’s a 650% increase in 15 months.
🧩 Dumb Mode Dictionary
| Term | What It Actually Means |
|---|---|
| AI-generated music | Songs made entirely by a computer program — no human singing or playing instruments. You type a prompt like “chill lo-fi beat” and the AI spits out a full track |
| Streaming fraud | Using bots (fake automated listeners) to play songs thousands of times so the song earns royalty money it doesn’t deserve |
| Royalty pool | The big pot of money that streaming platforms divide up among artists based on how many times their songs get played |
| Demonetized | Cut off from earning money. The song still exists but it can’t make a single cent |
| Algorithmic recommendations | When the app suggests “songs you might like” — AI tracks are now kicked out of these suggestions on Deezer |
| Suno / Udio | The two most popular AI music generators right now. Type in a description, get a full song in seconds |
📖 How We Got Here
OKAY SO here’s the backstory. AI music tools like Suno and Udio exploded in 2024-2025. Suddenly anyone could make a radio-quality song in 30 seconds. Cool, right?
But then the scammers showed up. They figured out you could:
- Generate thousands of songs with AI for basically free
- Upload them all to streaming platforms
- Use bot farms to play them on repeat
- Collect royalty checks meant for actual human musicians
Deezer was the first major platform to say “nah, we’re not doing this” and built a detection system with 99.8% accuracy to catch it.
📊 The Numbers Are Absolutely Wild
| Time Period | AI Tracks Uploaded Per Day |
|---|---|
| January 2025 | 10,000 |
| September 2025 | 30,000 |
| November 2025 | 50,000 |
| January 2026 | 60,000 |
| April 2026 | 75,000 |
- Total AI tracks tagged since launch: 13.4 million
- Share of all daily uploads that are AI: 44%
- Share of total streams from AI music: only 1-3%
- Percentage of AI streams that are fraudulent: 85%
Nobody’s actually listening to this stuff. It’s almost entirely a money-stealing operation.
🛡️ What Deezer Is Actually Doing About It
Deezer built an in-house tool that can spot AI-generated songs from the most popular generators (including Suno and Udio). Here’s what happens when a track gets flagged:
- Kicked out of recommendations — the algorithm won’t suggest it to anyone
- Removed from editorial playlists — no human curator will feature it either
- Demonetized — 85% of AI streams get cut from the royalty pool entirely
- No hi-res storage — they stopped keeping high-quality versions of AI tracks to save space
And the big move? They’re selling the detection tool to other companies. Billboard is already using it to check their charts. Sacem (a French organization representing 300,000+ music creators) has tested it too.
🗣️ What People Are Saying
Deezer CEO Alexis Lanternier:
“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artists’ rights and promote transparency for fans.”
The wider industry:
- 52% of surveyed listeners said 100% AI-generated songs shouldn’t appear in charts alongside human music
- 80% said AI-generated music should be clearly labeled
- Spotify and Apple Music still haven’t implemented detection at this level
- French platform Qobuz announced plans to start tagging AI content too
💰 Wait, Who's Actually Losing Money Here?
The streaming royalty system works like a pie. Every month, the total subscription money gets divided based on streams. So when bots rack up millions of fake plays on AI songs, that’s money being pulled directly from real artists’ slices.
Think of it like this: every fake stream on a robot song is a fraction of a cent that should’ve gone to the indie band you love. Multiply that by millions of bot plays and you’re talking real money being redirected from humans to scammers.
That’s why 85% of AI streams being flagged as fraud is such a big deal. These aren’t real listeners. These are operations designed to siphon cash.
Cool. The Robots Are Flooding the Music Industry. Now What the Hell Do We Do? ( ͡° ͜ʖ ͡°)
🔍 Hustle #1: Build an AI Music Detector for Indie Distributors
Most small music distributors (companies that help independent artists upload to Spotify, Apple Music, etc.) have ZERO AI detection. They’re desperate for it because platforms are starting to punish distributors who upload too much flagged content.
Build a lightweight detection wrapper using open-source audio analysis tools like Essentia and pitch it to the hundreds of small distributors who can’t afford to build their own. Charge $200-500/month per client.
Example: A developer in Lisbon built an audio fingerprinting plugin for DistroKid-style platforms after reading about Deezer’s tool. He charges indie distributors in Southeast Asia $300/month for pre-upload screening. Has 14 clients after 3 months.
Timeline: Build an MVP with open-source audio libraries in 2-3 weeks. First paying client within a month of cold-emailing distributors on this list.
📱 Hustle #2: 'Certified Human' Playlist Curation Service
Here’s what nobody’s talking about: listeners are getting paranoid. They don’t know what’s real anymore. Start a playlist brand that’s ONLY verified human-made music. Think “farm-to-table but for your ears.”
Curate playlists on Spotify and Apple Music. Brand them hard — “100% Human Music” — and build a following on Instagram/TikTok around the story of real artists. Monetize through artist placements (indie musicians will PAY to be featured on a trusted, human-verified playlist).
Example: A music blogger in Buenos Aires started a “No Robots Allowed” playlist series on Spotify for Artists. She charges unsigned bands $50 for placement after growing the playlist to 8,000 followers. Makes ~$2K/month curating 4 playlists.
🛠️ Hustle #3: Sell 'Anti-AI Certification' Badges to Independent Artists
Musicians are terrified of being mistaken for AI. Some venues and playlist curators are already rejecting submissions they suspect are synthetic. There’s a gap here: create a verification service that analyzes an artist’s recording process (studio session photos, raw stems, video of the session) and issues a “Verified Human” certificate they can display on their profiles.
Think of it like the blue checkmark, but for being a real musician. Charge $15-30 per track or $99/year for unlimited certifications.
Example: A producer in Lagos built a simple Notion-based verification workflow. Artists submit session videos + raw audio files, he verifies and issues a branded certificate as a shareable image. Charges ₦10,000 (~$12) per track. Doing 40+ verifications a week from Nigerian and Ghanaian artists.
💼 Hustle #4: Streaming Fraud Audit Reports for Record Labels
Small and mid-size record labels have no idea if their competitors (or even their own artists) are using bot farms. Package Deezer’s public data with analysis from tools like Chartmetric and Soundcharts to create “streaming audit reports” that flag suspicious activity on rival catalogs.
Labels will pay for this because streaming fraud directly eats their royalties. Position it as a forensic service — “we’ll tell you exactly how much money fake streams are costing you.”
Example: A data analyst in Berlin started sending free sample audit reports to A&R managers at German indie labels showing suspicious streaming patterns on competing releases. Now charges €500 per full catalog audit. Landed 3 labels as recurring clients within 6 weeks.
⚡ Hustle #5: Flip the Script — Use AI Music Legally for Background Content
While everyone’s fighting AI music, there’s a massive demand for cheap, royalty-free background tracks. Stock video sites, podcasters, YouTube creators, and mobile game devs need music that won’t trigger copyright strikes — and they don’t care if a robot made it.
Use Suno or Udio to generate themed background packs (lo-fi study, corporate presentation, workout energy) and sell them on Pond5, AudioJungle, or directly to content creators on Fiverr as “custom royalty-free packs.”
Example: A college student in Manila generates 50 lo-fi background tracks per week with Suno and sells bundles of 10 on Gumroad for $19. Pulls in $600-800/month from YouTube creators who need non-copyrighted music for their videos.
🛠️ Follow-Up Actions
| Step | Action |
|---|---|
| 1 | Read the full Deezer report and Billboard’s coverage |
| 2 | Try Suno or Udio free tier to understand what AI music actually sounds like |
| 3 | Check out Essentia (open-source audio analysis) if you’re tech-inclined |
| 4 | Browse r/WeAreTheMusicMakers to see how musicians are reacting |
| 5 | Look at Chartmetric free tools to understand streaming data patterns |
Quick Hits
| Want to… | Do this |
|---|---|
 Understand AI music detection |
Read Deezer’s newsroom post on how their tool works |
| Make royalty-free AI tracks legally |
Sign up at Suno — free tier lets you generate 10 songs/day |
 Sell music to content creators |
List background packs on Pond5 or AudioJungle |
 Verify your music is human-made |
Document your recording process and check Deezer’s detection criteria |
 Audit streaming fraud patterns |
Start with Chartmetric’s free dashboard |
75,000 robot songs a day and nobody’s listening to them. The scam isn’t the music — it’s the money. And the people who figure out how to fight it (or ride it) first are the ones who’ll eat.
!