Man Pleads Guilty to $10 Million AI Music Streaming Fraud: Used 1,000 Bots to Stream His Own Songs

Michael Smith from North Carolina pleaded guilty last week to one count of conspiracy to commit wire fraud. The case is one of the first successful criminal prosecutions of AI-related fraud in the music industry.

Smith allegedly generated hundreds of thousands of songs using AI tools, uploaded them to streaming services like Spotify and Apple Music, and then deployed over 1,000 bots to stream the songs billions of times. Royalty revenues amounted to around $10 million.

Streaming services operate on a per-play payment model for artists. Smith's scheme exploited this directly: more plays meant more money, regardless of whether real listeners were behind the streams.

The case raises fundamental questions about the integrity of streaming platforms' royalty systems. Experts have long warned that AI-generated content combined with synthetic traffic is a scalable threat to the music industry.

Spotify and other platforms have invested heavily in systems to detect inauthentic listening, but Smith's case shows these systems are not watertight. The industry expects such cases to become far more common as AI music generation tools become cheaper and more accessible.

Smith faces up to 20 years in prison and is awaiting sentencing.