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Musician pleads guilty to $8M AI streaming fraud, running 1,040 bot accounts and AI songs for 7 years

  • March 20, 2026
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Source: Digital Music News
Michael Smith pleaded guilty to stealing $8 million using 1,040 bot accounts streaming AI songs across Spotify and Apple Music for seven years undetected.

Key highlights

  • Michael Smith, 54, of Cornelius, NC pleaded guilty on March 19, 2026 to conspiracy to commit wire fraud in the first federal AI streaming fraud prosecution in US history.
  • Smith ran 1,040 bot accounts generating 661,440 fake streams per day across Spotify, Apple Music, Amazon Music, and YouTube Music.
  • The Mechanical Licensing Collective flagged the fraud in early 2023. The platforms did not.

Spotify and Apple Music missed it for 7 years

It was not Spotify or Apple Music that caught this. It was the Mechanical Licensing Collective, the US Copyright Office-designated nonprofit administering mechanical royalties, that halted payments and flagged the fraud in early 2023.

Michael Smith, 54, of Cornelius, North Carolina, pleaded guilty on March 19, 2026 to conspiracy to commit wire fraud. Between 2017 and 2024, Smith sourced AI-generated tracks at up to 10,000 songs per month and streamed them billions of times across Spotify, Apple Music, Amazon Music, and YouTube Music using 1,040 automated bot accounts. Each account ran roughly 636 streams per day, generating an estimated $1.2 million in fraudulent royalties annually. This is how AI royalty gaming operates at scale, exploiting the pro-rata model where stream volume directly determines your royalty share.

Boomy CEO named as co-writer, charges forfeiture of $8M

According to the DOJ guilty plea, Smith agreed to forfeit $8,091,843.64. He faces up to 5 years in prison. Sentencing is scheduled for July 29, 2026.

Per Music Business Worldwide, hundreds of Smith’s songs list Alex Mitchell, CEO of AI music company Boomy, as a co-writer. Mitchell has not been charged. After the MLC stopped payments, Smith’s representatives “repeatedly lied” during the investigation before he changed his plea to guilty in March 2026.

U.S. Attorney Jay Clayton stated: “Although the songs and listeners were fake, the millions of dollars Smith stole was real. Millions of dollars in royalties diverted from real, deserving artists and rights holders.”

Fake streams take money directly from your royalties

Every fake stream shrinks the share of the music royalties pool available to legitimate artists. Smith’s $8M came directly from what real artists should have earned. This case will accelerate changes to streaming platform AI rules across all major platforms, including stricter upload verification and minimum stream thresholds. Those changes will affect independent artists directly, not just bad actors.

Frequently asked questions

Who is Michael Smith and what did he plead guilty to?

Michael Smith, 54, of Cornelius, North Carolina, pleaded guilty on March 19, 2026 to conspiracy to commit wire fraud. He used AI-generated songs and 1,040 bot accounts to steal $8,091,843.64 in streaming royalties from Spotify, Apple Music, Amazon Music, and YouTube Music over 7 years. Rolling Stone has the full timeline of how the scheme was built and investigated.

How did Michael Smith steal $8 million from streaming platforms using AI?

Smith sourced AI-generated tracks at up to 10,000 songs per month through a commercial agreement with an AI music company. He uploaded hundreds of thousands of tracks and used 1,040 bot accounts to stream them automatically, generating 661,440 fake streams per day. This is an extreme version of the same AI artists on Spotify dynamic where synthetic streaming activity is nearly impossible for platforms to separate from legitimate plays.

What is the Mechanical Licensing Collective and how did it catch the fraud?

The Mechanical Licensing Collective is the US Copyright Office-designated nonprofit administering blanket mechanical licenses for streaming and digital downloads under the Music Modernization Act of 2018. It caught Smith’s fraud by identifying an abnormal volume of tracks and streams tied to his accounts, halted payments in early 2023, and launched the investigation that led to his September 2024 indictment.

How big is AI streaming fraud across the industry?

According to Beatdapp, streaming fraud costs the industry $2 billion yearly, roughly 10% of global streaming revenue. Smith’s case is the first federal US prosecution, but AI fake songs on Spotify have been appearing on real artists’ profiles for years. TuneCore, DistroKid, and CD Baby formed the Music Fights Fraud Alliance in June 2023 to share fraud databases across distributors.

How are streaming platforms detecting AI fraud now?

Detection varies widely by platform. Deezer flags 60,000 AI-generated tracks daily, but Spotify, Apple Music, and Amazon Music did not detect Smith’s operation over 7 years. The Smith case suggests the major platforms rely on third-party bodies like the MLC rather than internal systems to catch fraud at this scale.

Whenever you’re ready, there are 3 ways I can help you:

  1. The AI Fanbase Builder: My flagship course and prompt library endorsed by music industry leaders. The AI Fanbase Builder teaches you step-by-step frameworks for growing your audience, getting noticed on social media, and turning followers into paying fans. Come learn proven strategies to build a thriving music career with AI.
  2. AI Music Newsletter: Join 2,000+ music professionals who use my proven AI tools, prompts, and workflows. Subscribers save 10+ hours weekly on music creation and promotion tasks that used to take days.
  3. Promote your AI tool to 2,000+ music pros weekly: Put your music brand in my newsletter where musicians, producers and industry pros, including Grammy winners and label executives, are already looking for AI music tools and insights each Wednesday.
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Christopher Wieduwilt - The AI Musicpreneur Founder, Content Creator
Christopher Wieduwilt, founder of the AI Musicpreneur, combines 15 years of music industry experience with AI expertise to empower artists. Having navigated the highs and lows himself, Christopher now shares AI music tools and strategies to help artists create, promote, and grow their fanbase. His mission is to guide musicians in winning 1,000 true fans in the AI era.
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