In 2025, Apple Music flagged billions of fraudulent streams. Less than a year later, Deezer said it was receiving around 60,000 AI-generated tracks per day. That was up from 30,000 in September and 50,000 in November 2025. Take a moment to digest those numbers.
That’s billions of fake streams and tens of thousands of AI music tracks flooding music streaming platforms daily. The music industry is built on data, royalties, and trust. That makes this an incredibly pressing issue.
AI-generated tracks are multiplying by the day. At the same time, streaming fraud is becoming harder to detect and more difficult to prevent.
When Robots Listen to Robots
Sky News got right to the point: robots are listening to robots.
What?!
Fraudsters use AI music-generation tools to quickly create thousands of tracks. These songs don’t need to be hits, and they don’t need marketing. They just need to exist. Once the tracks are uploaded, other bots stream the songs repeatedly. This results in artificial engagement and streaming numbers. But it also results in real revenue.
This is streaming fraud at scale. There is no real artist being promoted. Fake tracks collect fake streams from automated accounts. The royalties generated come out of the same pool that pays legitimate artists and songwriters.
Folk musician Lila Tristram pointed out that artists already earn just a fraction of what they should from streaming. Seeing that amount cut even further by bots and fake streams is infuriating.
This is precisely what makes fake streams so damaging. They quietly redirect money. And because AI music can now be produced so quickly, scammers have more material than ever to work with.
Platforms are Fighting Back
Deezer has made it clear that the issue isn’t just volume. Up to 85% of streams tied to AI-generated music in 2025 were fraudulent. So Deezer chose to demonetize them.
Eighty-five percent tells us two things.
- AI music is being heavily used to drive fake streams.
- Platforms are aware of it and are actively responding.
Apple Music is also taking action. The company’s strategy to combat streaming fraud now includes a sliding scale of financial penalties. When the policy was first introduced, fines started at 5% and were capped at 25%.
In January 2026, Apple doubled those penalties. For example, if someone engages in streaming fraud worth $1 million, they could face a fine of up to $500,000. And that’s on top of having the fraudulent streams demonetized.
Streaming platforms are no longer just monitoring this problem. They’re now actively penalizing it.
Why AI Music Changes the Game
Streaming fraud isn’t new. Fake streams have existed for years. What’s different now is volume.
When AI music tools can generate thousands of tracks quickly, the potential for abuse grows. Instead of promoting one fake artist, scammers can create hundreds. Instead of pushing a single manipulated playlist, they can upload entire catalogs designed solely to collect streams.
More tracks mean more data. More data means more noise. And that noise makes it harder to tell what’s real and what isn’t.
Music streaming platforms now have to separate:
- Organic listener growth
- Bot-driven fake streams
That’s not easy.
Some artists are using AI music creatively and transparently. But when the same tools are used to produce content solely for streaming fraud, spotting abuse becomes much harder.
It’s no longer about catching bots. It’s about recognizing suspicious patterns across millions of tracks.
The Royalty Pool Problem
For professionals in the music industry, this is where things get serious. Streaming works on a shared royalty pool model. Revenue is collected and then distributed based on the share of streams. When fake streams enter the system, they distort that royalty distribution.
If billions of fraudulent streams are being flagged, that means a massive amount of data has to be cleaned up. When 85% of AI-generated streams are removed, the payout numbers change. And that creates uncertainty. Streaming fraud affects every part of the music business that relies on accurate reporting.
What This Means for Music Companies
For labels, publishers, and rights managers, this raises some very important questions:
- How stable are your reported numbers?
- How transparent are fraud-related adjustments?
- How quickly can unusual activity be identified?
As streaming platforms increase monitoring and demonetization practices, reporting will evolve. Some streams may be removed after the fact. Revenue totals might shift.
That’s why accurate reporting matters. Clear metadata and organized royalty tracking help companies see where their revenue is coming from and how changes affect them. AI music isn’t going away.
The challenge is staying ahead of streaming fraud as AI continues to evolve.
In Closing
What was once a background issue is now front and center. Billions of fake streams have already been flagged. Tens of thousands of AI-generated tracks are being uploaded daily, and in some cases, most of those streams are fraudulent.
Fake streams are getting smarter. Streaming fraud is becoming more automated. And AI music is moving fast. Platforms are responding with stronger detection tools and stricter penalties. But it’s imperative that the industry stays alert.
Streaming is originally built on trust. The industry relies on accurate reporting, fair payouts, and the belief that listener engagement reflects human audiences. When that trust is shaken, everyone feels it.
At Reprtoir, we believe clarity and structure are essential in today’s streaming environment.
As platforms strengthen their fight against streaming fraud, full visibility over your catalogs, metadata, and royalties becomes even more important.
With the right systems in place, music professionals can stay informed and ready for what comes next.
If you’d like to see how Reprtoir can help you manage your catalogs and royalties with greater transparency, get in touch with our team for a free demo.
