North Carolina Man Gets 18 Months in Prison for $8 Million AI Music Fraud Using Bots

Michael Smith Sentenced in Landmark AI Music Fraud Case

Michael Smith, a 54-year-old North Carolina musician, received an 18 months in prison sentence for orchestrating what the Department of Justice calls the first criminal case of AI-assisted streaming fraud in the United States1

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. The Cornelius resident pleaded guilty in March to one count of conspiracy to commit wire fraud after being indicted in September 20244

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. Beyond the prison term, Smith must forfeit $8,091,843.64 and serve two years of supervised release2

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Seven Years of Streaming Fraud Went Undetected

Starting in 2017, Smith built a sophisticated operation using fraudulently obtained debit cards and fake email accounts to create thousands of bot accounts across Spotify, Apple Music, Amazon Music, and YouTube Music1

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. He uploaded hundreds of thousands of AI-generated songs with names like "Callous Post" and "Calorie Screams," producing tracks such as "Zygotic Washstands" and "Zymotechnical"4

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. Smith employed automated bots that continuously streamed these tracks billions of times through 2024, dispersing the streams strategically to avoid triggering anti-fraud systems1

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. The bots connected through virtual private networks to mask their origins3

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Fraudulent Streams Dwarfed Taylor Swift's Catalog

The scale of Smith's streaming fraud became strikingly clear when prosecutors compared his numbers to legitimate artists. In April 2023, Smith's bot accounts fraudulently streamed his AI-generated songs 80.9 million times on YouTube Music, while Taylor Swift's entire catalog received only 9.3 million streams during the same month1

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. At the scheme's peak, Smith operated more than 1,000 bot accounts simultaneously, and at times used as many as 10,000 bot accounts at once3

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The Financial Blueprint Behind the Scheme

In October 2017, Smith emailed himself a detailed financial breakdown showing he operated 52 cloud service accounts, each running 20 bot accounts3

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. He calculated each bot could stream approximately 636 songs per day, totaling roughly 661,440 streams daily3

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. At an average royalty rate of half a cent per stream, Smith projected daily earnings of $3,307.20, monthly earnings of $99,216, and annual earnings exceeding $1.2 million3

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. By June 2019, Smith was earning approximately $110,000 each month from royalties, with portions going to co-conspirators4

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. In a February 2024 email, Smith boasted his songs had generated over 4 billion streams and $12 million in royalties since 20193

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Evolving Tactics to Evade Detection

As streaming platforms strengthened their anti-fraud systems, Smith adapted his approach. In October 2018, he emailed accomplices stating they needed "a TON of songs fast to make this work around the anti fraud policies these guys are all using now" and emphasized needing "a TON of content with small amounts of Streams" to avoid raising issues "with the powers that be"3

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. Smith worked with the Chief Executive Officer of an AI music company and an unnamed music promoter to fraudulently inflate streaming numbers3

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. This collaboration allowed him to continuously generate new AI-generated songs and distribute streams across a wider catalog, making detection more difficult.

Impact on Genuine Artists and Manipulated Royalty Pools

The Department of Justice emphasized that streaming fraud doesn't just harm platforms but directly impacts genuine artists who share royalty pools on streaming services1

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. By flooding music streaming platforms with automated bots in the place of consumers and fake songs in the place of creativity, Smith manipulated royalty pools and reduced payments across the board1

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. U.S. Attorney Jamie McDonald stated that Smith "robbed millions in royalty payments from genuine artists and their fans"3

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Defense Arguments and DOJ Response

Smith's legal team argued the Department of Justice was making an example of their client for the "ills of an industry" and noted he did not actually pocket the full $8 million1

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. They requested probation instead of prison time, with Smith expressing he was "profoundly sorry" and claiming he had been offered a $5,000 per month job for audio production work1

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. The DOJ disagreed, telling the court that Smith engaged in increasingly deceptive tactics, lied to authorities when confronted, and needed a stronger sentence for deterrence1

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. Prosecutors stated the court should "impose a sentence that adequately punishes the defendant for his fraud scheme and sends a message to others that streaming fraud will be met with significant punishment"1

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Implications for Digital Content Fraud and Industry Oversight

This landmark case signals heightened scrutiny of AI-assisted streaming fraud and digital content fraud schemes. As the first criminal prosecution of its kind, the sentencing establishes a precedent for how authorities will handle similar cases involving illicit revenue generated through technological manipulation. Streaming platforms face mounting pressure to strengthen their anti-fraud systems as AI tools become more accessible and sophisticated. Industry observers expect platforms to invest heavily in detection technologies that can identify patterns consistent with bot activity, while artists and rights holders advocate for greater transparency in how royalty pools are monitored and protected. The case raises questions about whether current platform safeguards adequately protect against emerging forms of wire fraud and whether regulatory frameworks need updating to address AI-generated content exploitation. Watch for increased collaboration between streaming services and law enforcement as they work to identify similar schemes before they reach the scale Smith achieved over seven years.