NC Man Pleads Guilty in $8M AI Music Streaming Fraud

AI-generated music streaming fraud just got its first major federal conviction. Michael Smith, a North Carolina man with a real music career history, pleaded guilty on Thursday to conspiracy to commit wire fraud after federal prosecutors in the Southern District of New York documented how he built a machine that funneled more than $8 million in fraudulent streaming royalties into his pocket — money that belonged to actual artists.

How Smith Built an $8 Million Royalty Machine

The mechanics were brazen in their simplicity. Smith created thousands of fake listener accounts across major streaming platforms — Spotify, Apple Music, Amazon Music, and YouTube Music — and pointed them at songs he owned the rights to. According to the Michael Smith AI music streaming fraud guilty plea filed by the U.S. Attorney's Office for the SDNY, the bot network was generating roughly 661,440 artificial streams per day, translating to approximately $1.2 million in royalty income annually.

That's where AI entered the picture. Streaming platforms pay per play — so more songs mean more payout vectors. Rather than rely on a small catalog that would trip fraud detection algorithms, Smith turned to AI music generators to produce hundreds of thousands of tracks at scale. Spread thin across a massive library, the fake plays blended into the noise. Prosecutors say he built the operation specifically to evade the anomaly-detection systems that platforms use to spot suspicious stream counts.

Smith was first charged in September 2024 and released on a $500,000 bond the following month. His guilty plea Thursday represents the culmination of what federal prosecutors described as a yearslong investigation. He agreed to forfeit the full amount of fraudulent royalty payments. Sentencing is scheduled for July 29, and he faces up to five years in federal prison.

Michael Smith generated thousands of fake songs using artificial intelligence and then streamed those fake songs billions of times.

Real Artists Paid the Price

This case has a victim class that gets lost in the tech-crime framing. Streaming royalty pools are zero-sum: every fraudulent play Smith captured was a fraction of a cent diverted away from a real artist whose music was actually being listened to. At $8 million in total royalties siphoned over the course of the scheme, that's not a rounding error — it's a sustained, deliberate transfer of wealth from legitimate creators to a fraud operation.

Rolling Stone had earlier traced Smith's background in a detailed AI-generated music royalties fraud investigation published in January, reporting that he had spent years genuinely pursuing a music career — charting songs, working with industry collaborators — before pivoting to the scheme. The juxtaposition is hard to ignore. This wasn't some anonymous scammer. It was someone who knew exactly how royalty economics worked and decided to game them.

Platforms like Suno, Udio, and Google's Lyria have made it trivially easy to generate large catalogs of tracks from simple text prompts. That's the uncomfortable context here. The same tools that democratize music creation for legitimate artists can, in the wrong hands, become raw material for a royalty farming operation. Smith's case is the first high-profile federal conviction showing that gap between capability and accountability.

Michael Smith used artificial intelligence and automated bots to create the illusion of popularity — and to collect millions in royalties that belonged to real artists.

What Does This Mean for AI Music Platforms?

Streaming services have fraud detection, yes — but this case shows those systems are beatable at scale when the catalog is large enough and the streams are distributed carefully enough. Smith's strategy — spreading plays across hundreds of thousands of AI tracks rather than hammering a few songs — was explicitly designed to fly under the radar. It worked for years.

Federal prosecutors originally charged Smith with music streaming fraud in September 2024, and the indictment reads like a blueprint for what the industry hasn't figured out how to stop yet. The question isn't whether more people have tried this. It's whether they've been caught.

Call it a landmark case or call it a warning shot — either way, the royalty fraud problem just became impossible to ignore. U.S. Attorney Jay Clayton's office made the stakes explicit: the money Smith collected wasn't victimless tech grift. It was theft from the artists and rights holders who play by the rules.

Although the songs and listeners were fake, the millions of dollars Smith stole was real. Millions of dollars in royalties that Smith diverted from real, deserving artists and rights holders.