AI-Generated Music Scheme Lands North Carolina Man in Legal Trouble
For years, human musicians have expressed concern as AI-generated content has begun to saturate streaming platforms. Now, a recent case highlights the darker side of this trend: a North Carolina man has pleaded guilty to orchestrating a massive streaming fraud scheme using AI-generated music and automated bots.
According to a Department of Justice press release, Michael Smith of North Carolina pleaded guilty to conspiracy to commit wire fraud. Smith created hundreds of thousands of songs using AI and then used automated programs, known as bots, to fraudulently stream these songs billions of times. The intent was to mimic genuine listener activity and illegally collect over $8 million in royalties from platforms including Amazon Music, Apple Music, Spotify, and YouTube Music.
Smith is scheduled for sentencing on July 29th and faces a maximum of five years in prison. He has also agreed to forfeit the $8 million he fraudulently obtained.
“Whereas the songs and listeners were fake, the millions of dollars Smith stole was real,” stated U.S. Attorney Jay Clayton. “Millions of dollars in royalties that Smith diverted from real, deserving artists and rights holders.”
The Scale of the Scheme
A Rolling Stone investigation revealed the extent of Smith’s operation. Operating 1,040 accounts across various streaming services, each account streamed approximately 636 songs daily. Smith reportedly earned around $3,300 per day, totaling over $1.2 million annually.
While some of the music attributed to Smith was created by real musicians without proper credit, a significant portion was entirely AI-generated.
Industry Response and Ongoing Concerns
The case underscores the growing problem of AI-generated content and fraudulent activity on music streaming platforms. Spotify has implemented new policies to combat impersonation and require AI disclosures in music credits. The company also states it is investing in detecting and removing artificial streams.
Despite these efforts, the issue persists, creating challenges for legitimate artists trying to gain visibility. The ongoing “cat and mouse” game between platforms and those exploiting the system makes it increasingly difficult for emerging artists to stand out amidst the influx of AI-generated content.
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