# 44% of Songs Uploaded to Deezer Are AI-Generated — And Nobody Can Tell the Difference **URL:** \ **Category:** News & Articles\ **Tags:** eye-opening\ **Created:** [29 أبريل 2026، 1:38م UTC](https://onehack.st/t/44-of-songs-uploaded-to-deezer-are-ai-generated-and-nobody-can-tell-the-difference/321614 "2026-04-29T13:38:08Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![WhiteHat](https://onehack.st/user_avatar/onehack.st/whitehat/32/162514_2.png) [@WhiteHat](https://onehack.st/u/WhiteHat)\ **Post date:** [29 أبريل 2026، 1:38م UTC](https://onehack.st/t/44-of-songs-uploaded-to-deezer-are-ai-generated-and-nobody-can-tell-the-difference/321614/1 "2026-04-29T13:38:08Z")
# 🎵 44% of Songs Uploaded to Deezer Are AI — And Nobody Can Tell the Difference _nearly half of every new song on a major streaming platform was made by a robot. and your ears? they got absolutely played._ **75,000 AI-generated tracks per day. 2 million per month. 85% of their streams are bots. And one guy already pocketed $8 million running this exact scam.** Deezer — the French streaming platform with 16 million users — just dropped a [report](https://newsroom-deezer.com/2026/04/ai-generated-tracks-represent-44-of-new-uploaded-music/) that reads like a horror movie for anyone who still thinks “real music” means anything. Nearly half the songs uploaded to their platform every single day are fully AI-generated. And the wildest part? A [Deezer/Ipsos study](https://newsroom-deezer.com/2025/11/deezer-ipsos-survey-ai-music/) found 97% of listeners couldn’t tell the fake songs from real ones in a blind test. we are cooked. ![Music Flood](https://media.giphy.com/media/1X62DfTz7UDbxdEOh5/giphy.gif) * * * > **🧩 Dumb Mode Dictionary** > > | Term | What It Actually Means | > | --- | --- | > | **AI-generated track** | A full song — vocals, beat, lyrics — made entirely by AI tools like [Suno](https://suno.com/) or [Udio](https://www.udio.com/), no human musician involved | > | **Streaming fraud** | Using thousands of fake accounts and bots to “listen” to songs on repeat so the platform pays out royalties for plays that never really happened | > | **Royalty dilution** | When fake AI songs eat into the same money pot that pays real artists — more songs splitting the pie = smaller slices for everyone | > | **Demonetized** | Platform catches the fraud and stops paying money for those fake streams | > | **Algorithmic recommendations** | The “Songs You Might Like” feed that decides what you hear next — Deezer now blocks AI songs from showing up there | > | **Detection tool** | Software that listens to a track and figures out if it was made by AI or a human — like Shazam but for catching robots | > **📊 The Numbers That'll Make You Stare** > > | What | Number | > | --- | --- | > | AI tracks uploaded daily | **75,000** | > | Share of all daily uploads | **44%** | > | AI tracks per month | **2,000,000+** | > | Daily uploads in Jan 2025 | 10,000 (was only 6%) | > | Daily uploads in Jan 2026 | 60,000 (jumped to 39%) | > | Actual listener streams from AI | Only **1-3%** of total | > | AI streams that are fraudulent bots | **85%** | > | Listeners who can spot AI songs | Only **3%** | > | One guy’s fraud haul | **$8 million** | > > the growth is insane — from 10,000 a day to 75,000 in 15 months. that’s a 650% increase. [source](https://techcrunch.com/2026/04/20/deezer-says-44-of-songs-uploaded-to-its-platform-daily-are-ai-generated/) > **🔍 How the $8 Million Scam Actually Worked** > > so this guy [Michael Smith from North Carolina](https://therecord.media/man-pleads-guilty-8-million-ai-music-scheme) figured out the cheat code before most people even knew AI could make music. here’s what he did: > > - Used AI to generate **hundreds of thousands** of fake songs > - Created **thousands** of fake listener accounts across Spotify, Apple Music, and other platforms > - Ran up to **10,000 bots** streaming his fake songs 24/7 > - At peak speed: **660,000 fake streams per day** > - Revenue: about **$1.2 million per year** before anyone noticed > > the way streaming royalties work is wild — platforms don’t pay a fixed rate per stream. they take a big pot of money and split it based on who got the most plays that month. so every fake stream Smith’s bots made wasn’t just free money for him — it was money directly stolen from real artists’ paychecks. > > he pleaded guilty and is [forfeiting $8 million](https://futurism.com/artificial-intelligence/man-pleads-guilty-music-ai-bot-streams). sentencing is July 2026. > **🛡️ What Deezer Is Actually Doing About It** > > give Deezer some credit — they’re the first platform to actually fight back: > > - **AI detection tool** : deployed in early 2025, catches songs made by [Suno](https://suno.com/) and [Udio](https://www.udio.com/) with high accuracy. they’ve [started licensing it](https://techcrunch.com/2026/01/29/deezer-makes-it-easier-for-rival-platforms-to-take-a-stance-against-ai-generated-music/) to other platforms too > - **Recommendation ban** : AI-tagged songs are automatically removed from your “Discover” feed and all editorial playlists > - **No hi-res storage** : they won’t even store high-quality versions of AI tracks anymore (petty king behavior) > - **Demonetization** : 85% of AI streams flagged as bot fraud get their payments cut off > - **13.4 million AI tracks** detected and tagged in 2025 alone > > meanwhile, Spotify added something called “Artist Profile Protection” and [Bandcamp straight-up banned AI music entirely](https://midnightrebels.com/ai-music-streaming-platform-policies/). Apple Music launched transparency tags but they rely on labels self-reporting (lol). > **🗣️ What People Are Saying** > > **Alexis Lanternier, Deezer CEO:** > > > _“AI-generated music is now far from a marginal phenomenon. As daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to safeguard artists’ rights and promote transparency for fans.”_ > > **Artists’ response:** > Major artist groups launched the [“Say No to Suno” initiative](https://soundsspace.com/blog/index.php/component/k2/item/255-say-no-to-suno-ai-music-royalty-dilution-controversy-2026) — basically a protest against AI-generated content eating into their royalty pool > > **The listeners (from the Ipsos survey):** > > - 80% want AI songs clearly labeled > - 73% want to know if their streaming app is recommending AI music > - 52% felt “uncomfortable” when they realized they couldn’t tell the difference > > the vibes are: everyone hates it but nobody can stop it > **💰 The Money At Stake Is Massive** > > A [CISAC/PMP Strategy study](https://www.cisac.org/services/reports-and-research/cisacpmp-strategy-ai-study) (CISAC represents 5 million creators worldwide) painted a terrifying picture: > > - **24% of music creators’ revenue** at risk by 2028 > - That’s roughly **€4 billion per year** gone from human artists > - Cumulative loss over 5 years: **€10 billion** > - By 2028, AI music could account for **20% of streaming platform revenue** and **60% of music library revenue** > > and here’s what makes it worse — this is a double hit. artists lose money because AI floods the royalty pool AND because AI companies trained on their work without paying them. it’s getting taxed twice for existing. > **⚡ Why This Matters Even If You Don't Use Deezer** > > Deezer is just the first platform honest enough to publish their numbers. the same flood is happening everywhere: > > - **Spotify** removed [75 million spammy tracks](https://www.aicerts.ai/news/streaming-slop-how-ai-music-fraud-hits-spotify-and-royalties/) in one year > - Tools like Suno let anyone make a full song in **30 seconds** for free > - Suno’s paid plan ($10/month) gives you **500 songs per month** with commercial rights > - The barrier to making music just went from “years of practice” to “type a sentence” > > we are speedrunning the content apocalypse and music is the canary in the coal mine. whatever happened to music is coming for every creative field next. * * * #### Cool. Robots are making half the music now. Now What the Hell Do We Do? (⊙\_⊙) ![Beat Making](https://media.giphy.com/media/MCuZCG5Lg03y1bGiJH/giphy.gif) > **🔍 Hustle #1: Become an AI Music Bounty Hunter** > > Deezer is licensing its detection tech. Other platforms are scrambling. But none of them can catch everything — especially new AI models that aren’t Suno or Udio. Build or resell detection as a service to **indie labels and distributors** who don’t have Deezer’s budget. > > Tools like [ACRCloud’s AI Music Detector](https://www.acrcloud.com/blog/introducing-ai-music-detector-to-identify-ai-generated-music/) and [MatchTune’s audit platform](https://www.matchtune.com/) are already scanning 200M+ tracks. White-label their API, slap a dashboard on it, and sell “AI Content Audits” to the 40,000+ independent music distributors who are currently flying blind. > > 🧠 _Example: A developer in Portugal built an AI detection API wrapper targeting Brazilian funk distributors — charges $200/month per catalog scan. 30 clients in 3 months = $6K/month recurring because these distributors were losing 15% of royalties to AI filler tracks they didn’t even know were in their catalog._ > > > 📈 **Timeline:** API integration takes a weekend with ACRCloud’s docs. First paying client within 2-3 weeks of cold-emailing distributors. > **🎵 Hustle #2: Flip the 97% Problem Into a Game Show** > > 97% of people can’t tell AI from human music. That’s not just a statistic — that’s a content format begging to exist. Build a “Real or Robot?” quiz game as a TikTok series, YouTube channel, or standalone app. Monetize through sponsorships from music platforms who want to prove their catalog is “real.” > > The engagement loop is addictive — people HATE being wrong about something they think they know. Every wrong guess is a share. > > 🧠 _Example: A music blogger in Nigeria started a “Real or AI?” Instagram Reel series using free [SubmitHub AI Song Checker](https://www.submithub.com/ai-song-checker) results as the reveal. 400K followers in 6 weeks. Got approached by a music distributor for a $3K/month sponsorship deal because the content drove “human-verified” awareness for their artists._ > > > 📈 **Timeline:** First video takes an afternoon. The format is infinitely repeatable — new AI models drop every month giving you fresh content forever. > **📝 Hustle #3: Human-Certified Playlist Curation Service** > > here’s the gap nobody’s talking about: as AI floods streaming, there’s going to be MASSIVE demand for playlists that are guaranteed 100% human-made. Think “organic” and “non-GMO” labels but for music. Charge artists to be featured in verified-human playlists, or sell playlist access to brands who don’t want their ads running next to robot music. > > Platforms like [Bandcamp](https://bandcamp.com/) (which banned AI entirely) give you a ready-made source of verified human music. Curate from there, build the brand on Spotify/Apple Music. > > 🧠 _Example: A DJ in Berlin created “Flesh & Bone” — a Spotify playlist brand guaranteed human-only. Uses Deezer’s AI detection tool to verify every track. Charges indie artists €15 to submit for consideration, gets 200+ submissions per month. That’s €3K/month just from submissions, plus sponsorship from an audio gear company._ > > > 📈 **Timeline:** Set up the playlist and verification workflow in one weekend. Start accepting submissions via a Typeform + Stripe combo immediately. > **🧠 Hustle #4: AI Royalty Fraud Investigation Consulting** > > Michael Smith made $8M before anyone caught him. Platforms are desperate for help identifying coordinated bot-streaming rings. If you understand data patterns — weird listening hours, identical playlists across accounts, streams from suspicious regions — you can sell this as a fraud investigation service to labels and collection societies. > > [CISAC](https://www.cisac.org/) represents 5 million creators. Their member societies in smaller countries have basically zero fraud detection. That’s your market. > > 🧠 _Example: A data analyst in Nairobi pitched the South African Music Rights Organization on a “stream audit” package after reading about the Michael Smith case. Used basic Python scripts to flag tracks with suspicious 3AM streaming spikes and identical 30-second listen durations. Found €40K in fraudulent streams in one catalog. Now has a retainer contract._ > > > 📈 **Timeline:** Build a basic anomaly detection script using public streaming data patterns. Pitch to collection societies in markets where fraud detection is nonexistent — Africa, Southeast Asia, Latin America. > **🛠️ Follow-Up Actions** > > | Step | Action | > | --- | --- | > | 1 | Sign up for [ACRCloud](https://www.acrcloud.com/) or [SubmitHub AI checker](https://www.submithub.com/ai-song-checker) free tier to test detection | > | 2 | Read [Deezer’s full report](https://newsroom-deezer.com/2026/04/ai-generated-tracks-represent-44-of-new-uploaded-music/) to understand the technical landscape | > | 3 | Check out the [CISAC study](https://www.cisac.org/services/reports-and-research/cisacpmp-strategy-ai-study) for the €4B market opportunity data | > | 4 | Explore [Suno’s free tier](https://suno.com/) to understand what you’re fighting (know thy enemy) | > | 5 | Cold-email 10 indie distributors or collection societies this week with a “did you know 44% of uploads are AI?” opener | * * * **⚡ Quick Hits** | Want to… | Do this | | --- | --- | | 🔍 Check if a song is AI | Use [SubmitHub’s free AI Song Checker](https://www.submithub.com/ai-song-checker) — paste any track and get a verdict | | 🎵 See how easy AI music is | Try [Suno](https://suno.com/) free tier — make a song in 30 seconds, then sit with the existential dread | | 📊 Read the full Deezer report | [Deezer Newsroom](https://newsroom-deezer.com/2026/04/ai-generated-tracks-represent-44-of-new-uploaded-music/) has all the numbers and methodology | | 🛡 Support human artists | Buy music on [Bandcamp](https://bandcamp.com/) — they banned AI music entirely, 100% human-made guarantee | | 💰 Understand the money at risk | [CISAC study](https://www.cisac.org/services/reports-and-research/cisacpmp-strategy-ai-study) breaks down the €4B/year threat to creators | * * * _75,000 songs a day and nobody asked for a single one. the robots aren’t replacing musicians — they’re drowning them._