Federal Prosecutors Seek Prison Time for Man Who Used AI to Generate Fake Streaming Revenue

A North Carolina man who created thousands of artificial songs using AI and deployed bot accounts to generate billions of fraudulent streams across major music platforms faces sentencing recommendations of 46 months in federal prison. Michael Smith allegedly pocketed over $8 million in unearned royalties across services including Spotify, Apple Music, and YouTube Music throughout a scheme that lasted more than six years. Prosecutors argue the substantial sentence is necessary to deter similar white-collar crimes targeting streaming royalty pools.

Michael Smith's six-year operation exploited the mechanics of subscription-based streaming services by generating fake artist profiles and using automated accounts to artificially inflate play counts. The scale of his fraud was remarkable—in a single month, his bogus catalog outperformed Taylor Swift's entire discography on YouTube Music by nearly nine-to-one. Smith's systematic approach allowed him to accumulate over $8 million in royalties that should have been distributed to legitimate musicians and artists.

The case reveals vulnerabilities in how streaming platforms distribute revenue. Smith's defense claims he initially sought legal guidance and believed his activities operated in a gray area of music industry regulations. However, prosecutors documented that he deliberately escalated his deception over time, making false statements to music distributors and employing increasingly sophisticated methods to avoid detection and accountability.