He made $8 million with AI music and fake streams — just pleaded guilty
A North Carolina man used AI to generate hundreds of thousands of songs, then deployed bots to stream them billions of times across Spotify, Apple Music, and Amazon. He just pleaded guilty to wire fraud.
A North Carolina man named Michael Smith just pleaded guilty to making $8 million by flooding music streaming platforms with AI-generated songs and using automated bots to fake billions of streams. It's the first major criminal conviction for AI-powered streaming fraud — and it exposes a massive vulnerability in how platforms pay artists.
U.S. Attorney Jay Clayton didn't mince words: "Although the songs and listeners were fake, the millions of dollars Smith stole was real."
How the Scheme Worked
Smith, a suburban business owner who ran a chain of urgent-care clinics, built a surprisingly systematic operation:
Step 1: Used AI music generation tools to create hundreds of thousands of songs — some entirely machine-made, others featuring uncredited real musicians.
Step 2: Created 1,040 fake accounts across Spotify, Apple Music, Amazon Music, and YouTube Music.
Step 3: Deployed bot programs that streamed roughly 636 songs per account per day, mimicking genuine listening patterns to avoid detection.
Step 4: Collected royalties — approximately $3,300 per day, or over $1.2 million annually.
The scheme ran for years before a Rolling Stone investigation first exposed the scale of the operation. Smith was arrested in September 2024 and initially denied wrongdoing before entering his guilty plea.
The Bigger Problem for Real Musicians
Here's why this case matters beyond one man's fraud. Streaming platforms pay artists from a shared royalty pool (a pot of money split among everyone based on play counts). Every fake stream Smith generated didn't just earn him money — it directly took money from real artists.
When a bot streams a fake AI song, the platform counts it the same as a real person listening to a real artist. The royalty pool doesn't grow — it just gets split differently. Over $8 million was redirected from legitimate musicians to one man's scheme.
The Scale Is Hard to Ignore
- 1,040 accounts running simultaneously
- 636 songs per account streamed daily
- $3,300/day in fraudulent royalties
- $8 million total stolen from the royalty pool
- 4 major platforms affected: Spotify, Apple Music, Amazon Music, YouTube Music
What Streaming Platforms Are Doing About It
Spotify and other platforms have started implementing detection systems for bot-driven streams, but the technology is still catching up. The core challenge: AI-generated music is getting harder to distinguish from human-made tracks, and bot behavior is increasingly sophisticated at mimicking real listening patterns.
Some platforms have begun requiring verification for new artist accounts and flagging unusual streaming patterns. But as this case shows, determined fraudsters can operate at massive scale for years before getting caught.
The Sentence
Smith pleaded guilty to one count of conspiracy to commit wire fraud, which carries a maximum penalty of five years in prison. Sentencing is scheduled for July 29, 2026. He agreed to forfeit the full $8 million obtained through fraud.
For anyone wondering if AI-powered streaming fraud is a "victimless crime" — every dollar stolen came directly from the pockets of real musicians trying to make a living.
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