North Carolina musician pleads guilty to $10M streaming fraud scheme powered by AI-generated songs

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Michael Smith, a 54-year-old North Carolina musician, has pleaded guilty to orchestrating a massive streaming royalty fraud scheme that netted him over $10 million. Smith used AI-generated songs and automated bots to artificially inflate streams on platforms like Spotify and Apple Music, marking the first criminal music streaming fraud case ever prosecuted by federal authorities.

Michael Smith Admits to Orchestrating Massive Streaming Fraud Operation

Michael Smith, a 54-year-old musician from North Carolina, has pleaded guilty to one count of conspiracy to commit wire fraud in what prosecutors are calling the first criminal music streaming fraud case brought by federal law enforcement

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. The North Carolina resident admitted to defrauding music streaming services including Spotify, Apple Music, Amazon Music, and YouTube Music by using AI-generated songs and automated AI bots to stream tracks billions of times. Smith fraudulently collected over $10 million in royalty payments between 2017 and 2024, though he has agreed to pay $8,091,843.64 in forfeiture

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Source: THR

Source: THR

How the Streaming Royalty Fraud Scheme Operated at Scale

Smith's operation was meticulously planned and executed with industrial precision. He purchased hundreds of thousands of AI-generated songs from the Chief Executive Officer of an AI music company, then uploaded them across multiple streaming platforms

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. At the peak of his streaming royalty fraud scheme, Smith deployed over 1,000 bot accounts to artificially inflate listening statistics. To evade detection by anti-fraud systems, he used virtual private networks and strategically distributed streams across thousands of accounts

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. In an October 2018 email to coconspirators, Smith wrote that "to not raise any issues with the powers that be we need a TON of content with small amounts of Streams"

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Source: BleepingComputer

Source: BleepingComputer

The Financial Mathematics Behind AI Bots to Stream Tracks

Court documents reveal Smith's detailed financial calculations. In an October 2017 email to himself, he outlined operating 52 cloud service accounts, each running 20 bot accounts. Smith estimated each bot could stream approximately 636 songs per day, generating a total of 661,440 streams daily

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. With an average royalty rate of half a cent per stream, Smith calculated daily earnings of $3,307.20, monthly earnings of $99,216, and annual earnings exceeding $1.2 million. In a February 2024 email, Smith boasted that his AI-generated songs had generated "over 4 billion streams and $12 million in royalties since 2019"

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Impact on Rights Holders and the Royalty Pool

U.S. Attorney Jay Clayton emphasized the real-world consequences of Smith's actions, stating that "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"

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. Clayton noted that Smith diverted millions of dollars in royalties from real, deserving artists and rights holders. The scheme effectively siphoned money from the royalty pool that should have compensated legitimate musicians and songwriters for their work

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AI-Exacerbated Streaming Fraud Threatens the Music Industry

This criminal music streaming fraud case highlights a growing crisis in the music industry. Streaming fraud has plagued platforms for years, but AI has dramatically accelerated the problem by enabling fraudsters to quickly generate thousands of songs. French streaming service Deezer reported seeing 60,000 AI songs uploaded to its platform daily, with as much as 85 percent of streams on those tracks being fraudulent

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. In response to AI-exacerbated streaming fraud, Apple Music doubled its penalties for those caught engaging in such schemes in February, explicitly citing AI's impact as a factor

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What Comes Next for Smith and Industry Enforcement

Smith faces a maximum sentence of five years in prison after pleading guilty before U.S. District Judge John G. Koeltl, with sentencing scheduled for July 29

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. He could also face three years of supervised release and a maximum fine of $250,000. The Department of Justice indicated it would not prosecute Smith further but would consider tax violations between 2017 and 2024 if discovered

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. This landmark case signals that authorities are taking streaming fraud seriously, particularly as AI tools make it easier to fraudulently collect royalties at unprecedented scale. The prosecution sends a clear message to would-be fraudsters while highlighting the urgent need for streaming platforms to strengthen their detection systems against AI-powered schemes that threaten the integrity of digital music distribution.

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