
Spotify has quietly carried out one of the biggest clean-ups in music streaming history after removing more than 75 million AI-generated spam tracks that were eating into royalty payments meant for genuine artists. The move answers growing concerns that fake songs had turned the platform into an easy target for fraudsters looking to make money without creating meaningful music.
Rather than banning artificial intelligence altogether, Spotify has made it clear that its real target is abuse of the system. AI-created music remains welcome on the platform, provided creators own the proper rights, avoid unauthorised voice cloning and show genuine creative input.
Millions Of Fake Tracks Flooded Spotify
The sheer scale of the problem shocked many within the industry. Spotify revealed that more than 75 million spammy AI-generated tracks were removed over the past year after they were found to be exploiting the platform's royalty system.
Many of these tracks were not designed to entertain listeners at all. Instead, they were uploaded in huge batches with fake metadata, generic titles and artificially short running times to maximise streams and collect royalty payments.
@cathypedrayes @Spotify is cracking down on AI slop. It says it removed 75 million spam tracks in one year and they’ve begun testing AI disclosures as well, but they’re not banning AI music. Spotify believes AI could be used as a legitimate creative tool, but it doesn’t want spam gaming the royalty system or stealing the work of other artists. What are your thoughts? Is transparency enough? 🤔 On Reddit I’ve seen people talk about avoiding recent music because they can’t tell what’s human or not, but I’ve also seen surveys where people are curious about AI-generated music but then want labels. #AI #spotify #aimusic #technews #artificalintelligence
♬ Tragedy - Bee Gees
Royalties Became Easy Targets
Spotify's royalty model works by placing streaming income into a shared pool before distributing payments based on listening figures. That system became vulnerable when fraudsters realised thousands of cheaply generated AI tracks could quietly compete with genuine songs for a share of the money.
Industry estimates suggest around 100,000 new tracks are uploaded to Spotify every day, with nearly half believed to involve AI in some form. Many fake uploads consisted of repetitive ambient sounds, meditation music and simple instrumental loops that blended into background playlists while bots artificially boosted their stream counts.
Spotify Tightens Its Defences
To stop the abuse, Spotify has introduced several new measures aimed directly at fraudulent activity. The company now removes unauthorised AI voice clones that imitate recognised artists, even if uploaders claim ownership.
Machine learning systems also monitor suspicious behaviour such as mass uploads, duplicate content and artificial streaming before removing or reducing the visibility of offending tracks. Spotify is also adopting improved metadata standards so creators can identify whether music is fully AI-generated or simply AI-assisted, giving listeners greater transparency.
AI Music Still Has A Place
Despite the large-scale purge, Spotify insists artificial intelligence itself is not the enemy. Senior director Sam Duboff said the company is targeting 'AI slop', meaning low quality content produced in seconds and uploaded purely to manipulate the platform rather than serve listeners.
Legitimate AI-assisted music remains acceptable. Artists can still use AI for tasks such as mixing, mastering, remixes and creative production, provided they hold the necessary commercial rights and are not copying another performer's voice without permission.
The Industry Faces A New Challenge
Spotify's actions come as record labels and industry organisations continue pushing for clearer labelling of AI-generated music. Groups including IFPI and RIAA believe greater transparency will help listeners distinguish between human-created works and songs produced with artificial intelligence.
Even so, the battle is far from over. As detection systems become more advanced, those attempting to exploit streaming platforms are expected to develop new ways of disguising AI-generated content, leaving Spotify and the wider music industry locked in an ongoing race to protect artists and preserve trust in digital music.










