A North Carolina man has pleaded guilty to orchestrating the first AI-driven music streaming fraud scheme to result in a federal conviction in the United States — stealing more than $8 million in royalties from real artists by manufacturing fake listeners and fake music at industrial scale.
Michael Smith, 54, of Cornelius, North Carolina, pled guilty on March 19, 2026 to one count of conspiracy to commit wire fraud in the Southern District of New York. His sentencing is scheduled for July 29, 2026. He faces a maximum of five years in prison and has agreed to forfeit $8,091,843.64.
How the Scheme Worked
Between 2017 and 2024, Smith used AI tools to generate hundreds of thousands of songs — tracks that were functional but created with no human artistry, no performance, no intent to be heard. He then built and deployed thousands of automated bot accounts across Amazon Music, Apple Music, Spotify, and YouTube Music to stream those fake songs billions of times, mimicking real user behavior to trigger royalty payouts.
At the height of the operation, his bots were generating approximately 661,440 fraudulent streams per day. That translated to more than $1.2 million in annual royalties flowing to Smith — diverted from the pool that pays legitimate artists.
To evade detection, Smith spread the activity across an enormous number of tracks rather than concentrating it on a few. He also routed bot traffic through virtual private networks to make it appear as if listeners were spread across different locations and devices. The scheme ran for seven years before prosecutors built a case.
He worked with a co-conspirator and reportedly coordinated with the CEO of an AI music company to acquire a high-volume catalog of computer-generated tracks. Prosecutors allege he used bulk-purchased fake email addresses and outsourced labor to scale the operation.
What Was Stolen — And From Whom
Streaming royalties operate on a pro-rata model: platforms collect subscription revenue into a pool and distribute it based on each track's share of total streams. When bots inflate stream counts for fake songs, they don't just steal from that fake song's "competitors" — they steal a portion of every legitimate artist's cut.
Every stream Smith's bots generated was a stream that reduced the royalty share for every real song on every platform he targeted. Metal bands, independent artists, singer-songwriters — anyone drawing from that pool was getting less because Smith's machines were taking more.
U.S. Attorney Jay Clayton was direct: "Michael Smith generated thousands of fake songs using artificial intelligence and then streamed those fake songs billions of times. 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."
A First in American Legal History
Prosecutors have framed this as the first U.S. case successfully charging AI-assisted music fraud. The indictment was handed down in September 2024; the guilty plea on a conspiracy count came in March 2026.
That timeline — from initial charges to plea — took roughly 18 months. The legal framework for prosecuting AI-assisted wire fraud was not carved out specifically for music; it was applied here under existing statute. That matters because it establishes precedent without requiring new legislation.
The Bigger Problem
Smith may be the first conviction, but he isn't operating in a vacuum. The tools he used — AI music generation, bot accounts, VPN routing — are widely available and getting cheaper every year. The case raises uncomfortable questions about how effectively streaming platforms police their own royalty systems.
Spotify, Amazon Music, Apple Music, and YouTube Music were all named in the DOJ press release. None of these platforms caught the operation for seven years. It took federal investigators, not platform algorithms, to bring the case.
For the artists whose royalties were diluted for nearly a decade: there's no restitution mechanism in the plea agreement that routes Smith's forfeited $8 million back to the legitimate artists who lost it. That money goes to the U.S. government.
The conviction is a signal that this behavior is prosecutable. Whether it's a deterrent depends entirely on whether platforms strengthen their fraud detection infrastructure — or wait for the next Smith to run seven more years undetected.
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