How the Music Industry Is Fighting AI-Powered Streaming Fraud

Streaming fraud is becoming an ecosystem problem rather than a platform-by-platform moderation issue. The recorded-music industry’s emerging response is shared gatekeeping: identify who is delivering music, verify the rights behind it, inspect suspicious content and metadata, detect artificial listening, and prevent fraudulent plays from entering royalty calculations. 234

The focus matters. AI-generated music is not inherently fraudulent. But generative tools can make it far cheaper to create enormous catalogues that can then be paired with bot networks, false artist identities, and manipulated play counts.

IFPI’s Streaming Integrity Initiative: a common anti-fraud baseline

The International Federation of the Phonographic Industry (IFPI) has launched the Streaming Integrity Initiative (SII), a set of baseline practices intended to help music-industry participants prevent, detect, and respond to streaming fraud. The initiative is designed to protect artists, songwriters, and fans while improving coordination across the delivery chain. 23

Publicly identified supporters include:

• Absolute Label Services, ADA, AWAL, CD Baby, CmdShft, Ditto Music, Fuga, GoDigital, Hybe, Idol, InnerCat Music Group, Redeye, Revelator, RouteNote, Secretly Distribution, Symphonic, and Too Lost
• IMPALA and Merlin
• Sony Music Group, Universal Music Group, and Warner Music Group, alongside The Orchard and Virgin Music Group 2

That roster brings together major-label groups and a significant part of the independent distribution ecosystem. Its importance is practical: distributors are a main entry point for recordings headed to digital streaming platforms.

What distributors are expected to do

The SII is an industry commitment, not a government regulation. Its proposed baseline measures nevertheless place substantial responsibility on distributors, which supply content to streaming services. 34

The reported measures include:

1. Know the uploader. Verify the identity of customers delivering music.
2. Verify claimed rights. Check that uploaders control the recordings and rights they represent.
3. Review risky submissions. Examine audio, lyrics, and metadata for suspicious, deceptive, or potentially AI-generated material.
4. Monitor for fraud signals. Investigate unusual changes in streaming activity and other warning signs.
5. Enforce against abuse. Stop identified manipulation and, for repeated violations, end the distributor’s relationship with the customer. 4

This approach aims to catch abuse before it becomes a platform-scale royalty problem. It also recognizes that detection alone is not enough: fraud findings must lead to action, information-sharing, and removal of artificial activity from payments.

Why AI uploads have made the problem more urgent

Deezer reported that fully AI-generated music averaged roughly 60,000 daily deliveries in January 2026—about 39% of all daily music delivered to the service. It also said that, while AI-generated tracks represented only a small share of total listening, up to 85% of streams on those detected AI-generated tracks were fraudulent in 2025. Deezer says those streams are demonetized and excluded from royalty calculations.

Those figures should not be generalized to every service or every AI-made track. They do, however, illustrate the central anti-fraud concern: automated production can create a vast inventory of recordings at a scale that conventional review systems were not built to handle.

Why independent artists have the most to lose

In a typical pro-rata streaming model, royalties come from a finite pool divided according to each rightsholder’s share of plays. Artificial streams can therefore dilute the share available to legitimate artists and rightsholders, rather than merely creating a separate fraudulent payment. 12

That is especially difficult for independent artists and labels. They compete for discovery in an increasingly crowded upload environment and may have fewer resources to monitor misuse, challenge questionable deliveries, or absorb the lost visibility caused by spam. IFPI describes streaming fraud as activity that diverts revenue from genuine artists while distorting charts, playlists, and opportunities for new and developing performers. 1415

Spotify’s AI Persona controls target identity deception

Spotify has announced AI Persona badges for artist profiles whose identities may be AI-generated and do not represent a real person. Starting in mid-September, the badge is expected to appear on artist-profile banners and About sections, in Search, and on track rows in playlists. Spotify says it will accept self-disclosures and also apply badges to relevant profiles itself.

By default, Spotify says music from AI Personas will not appear in editorial or algorithmic recommendations, unless a listener already follows that persona. The policy is aimed at transparency about the identity presented to listeners, rather than making a blanket judgment about how a recording was made.

The Michael Smith case shows the industrial scale of the threat

The criminal case against Michael Smith is a clear illustration of how AI can be combined with automated listening to manipulate royalty systems. Federal prosecutors said Smith used AI-generated songs and bots to create billions of fraudulent streams on platforms including Amazon Music, Apple Music, Spotify, and YouTube Music. 17

According to the U.S. Attorney’s Office for the Southern District of New York, Smith pleaded guilty to conspiracy to commit wire fraud and agreed to forfeit more than $8 million. Prosecutors described a scheme involving hundreds of thousands of AI-generated songs and automated programs designed to mimic real listener activity.

The lesson is not that synthetic music automatically equals fraud. It is that a huge, cheaply produced catalogue can provide raw material for bot-driven manipulation at a scale that would be far harder to achieve through conventional recording alone.

The real test: protect legitimate music without banning tools

The most credible response is targeted enforcement against fake identities, rights misrepresentation, deceptive uploads, and artificial listening. The SII’s emphasis on verification, monitoring, and coordinated enforcement is an attempt to put those safeguards closer to the point where music enters streaming services. 24

For artists and independent labels, the outcome will depend on execution: whether distributors consistently apply these checks, whether platforms remove detected fraud from royalty pools, and whether the industry can distinguish legitimate creative use of AI from schemes built to manufacture plays and siphon payments.