Music Fraud: Michael Smith Diverts $8 Million Using AI Bots

A Sophisticated Music Fraud Scheme

Michael Smith, a resident of North Carolina, has pleaded guilty in a case of fraud against music streaming platforms. By using artificial intelligence technologies, Smith generated hundreds of thousands of music tracks, which he then streamed using bots, accumulating billions of listens.

To execute his plan, Smith created thousands of fake accounts on major platforms such as Spotify, Apple Music, Amazon Music, and YouTube Music. This strategy allowed him to rake in over $8 million in royalties while avoiding detection by spreading the listens across a wide range of titles.

The Impact on the Music Industry

The U.S. Attorney's Office for the Southern District of New York confirmed that Smith pleaded guilty to conspiracy to commit wire fraud. This scheme has had significant repercussions on the economics of music streaming. Platforms have paid substantial amounts for fictitious listens, which has diminished the revenues of genuine artists and songwriters.

Royalties on these platforms come from a shared pool, distributed on a pro-rata basis. Each fictitious listen orchestrated by Smith meant less money for real musicians and songwriters, further amplifying the negative impact of this fraud on the music industry.

Jay Clayton, the U.S. Attorney, emphasized that Smith's "bold scheme is over" and that he has been convicted of a federal crime for his AI-assisted fraud. This case highlights the challenges streaming platforms face in protecting the integrity of their royalty distribution system.