North Carolina musician sentenced to 18 months for $10M AI-powered streaming fraud

Scheme used AI-generated songs and thousands of bots to inflate play counts on Spotify, Apple Music, and other platforms

By LineZotpaper
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A 54-year-old North Carolina musician, Michael Smith, has been sentenced to 18 months in federal prison for orchestrating a streaming royalty fraud scheme that netted more than $10 million. Between 2017 and 2024, Smith used AI-generated music and automated bot accounts to artificially stream songs billions of times on platforms including Spotify, Apple Music, Amazon Music, and YouTube Music.

According to court documents unsealed in the Southern District of New York, Smith worked with the CEO of an AI music company and an unnamed music promoter to upload hundreds of thousands of AI-generated tracks to streaming services. He then used more than 1,000 bot accounts to stream the songs, rotating them through virtual private networks to evade anti-fraud detection.

At the scheme's peak, Smith operated 52 cloud service accounts, each with about 20 bot accounts. Each bot could stream roughly 636 songs per day, generating an estimated 661,440 streams daily. At an average royalty rate of half a cent per stream, the daily take reached $3,307.20, with annual earnings exceeding $1.2 million.

In an October 2018 email to accomplices, Smith wrote that they needed "a TON of songs fast" to work around updated anti-fraud policies, adding they needed "a TON of content with small amounts of Streams" to avoid raising flags.

The Department of Justice highlighted the scale of the fraud by comparing Smith's activities to legitimate artist streams. In April 2023, Taylor Swift's entire catalog received 9.3 million streams from family plans on YouTube Music, while Smith's bot accounts streamed his AI-generated music 80.9 million times using family plans during the same month. In a February 2024 email, Smith boasted that his songs had generated "over 4 billion streams and $12 million in royalties since 2019."

U.S. Attorney Jamie McDonald said in a statement: "By flooding music streaming platforms with automated bots in the place of consumers, and fake songs in the place of creativity, Smith robbed millions in royalty payments from genuine artists and their fans."

In addition to the prison term, Smith was ordered to pay $8,091,843.64 in forfeiture and will serve two years of supervised release after his incarceration.

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Analysis

Why This Matters

  • Streaming platforms pay royalties per stream, so inflated play counts directly reduce revenue available for legitimate artists.
  • The case shows how AI-generated content combined with automated bots can be weaponized on a massive scale, posing a growing challenge to anti-fraud systems.
  • The sentence sets a precedent for prosecuting similar schemes, potentially deterring others from exploiting streaming royalties.

Background

Streaming fraud has been a persistent issue for music platforms, with artists and labels sometimes using bots or click farms to boost their numbers. However, the advent of AI-generated music has dramatically lowered the barrier to creating large volumes of content, making it easier for fraudsters to flood services with tracks that can be streamed round-the-clock. Platforms have responded by deploying detection algorithms to spot abnormal listening patterns and by restricting bulk uploads, but fraudsters continuously adapt their methods, as seen in Smith's use of VPNs and many bot accounts.

Key Perspectives

Streaming platforms and rights holders: The fraud directly undermines the royalty systems that are the backbone of music streaming economics. They face pressure to invest in better detection and to claw back fraudulent payments. Legitimate artists and songwriters: Their income is diluted when fake streams siphon off a fixed royalty pool. The Taylor Swift comparison highlights the scale of the theft. Law enforcement and regulators: This prosecution signals that authorities view streaming fraud as serious financial crime. More cases may follow as forensic techniques improve.

What to Watch

  • Changes in streaming platforms' anti-fraud policies, especially around family plan abuse and automated upload detection.
  • Possible additional civil lawsuits from platforms seeking to recover losses.
  • Broader legislative or regulatory moves targeting AI-generated content misrepresentation in media.

Sources

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