AI and the Dark Side of Music Streaming: The Case of Michael Smith and Royalty Fraud

The music streaming industry is facing a new challenge that threatens the livelihoods of real musicians and songwriters. A man from North Carolina, Michael Smith, recently pleaded guilty to a scheme that used artificial intelligence to flood streaming platforms with fake songs. By generating thousands of AI-created tracks and using automated bots to inflate their play counts, Smith illegally collected millions in royalties meant for genuine artists. This case marks one of the first successful prosecutions of AI-related fraud in the music business and highlights the growing risks posed by technology misuse.

How Michael Smith’s Scheme Worked

Michael Smith, a 52-year-old resident of Cornelius, North Carolina, exploited the music streaming system between 2017 and 2024. He created an enormous volume of AI-generated songs—thousands in total—and uploaded them to popular streaming services. These songs were not created by human artists but by artificial intelligence, designed to mimic real music.

To boost the number of listens, Smith employed automated “bots” that streamed these fake songs repeatedly. At its peak, the scheme generated as many as 661,440 streams daily. This artificial inflation led to over a billion streams, which translated into more than $10 million in royalty payments. Smith’s annual earnings from this fraud reached over $1 million.

US Attorney Jay Clayton explained that although the songs and listeners were fake, the money stolen was very real. The millions of dollars Smith diverted should have gone to real musicians, songwriters, and rights holders who rely on streaming royalties for their income.

The Impact on Musicians and the Industry

Smith’s case is not just about one man’s fraud; it exposes a broader problem in the music streaming ecosystem. Fake music and manipulated streams threaten to drown out genuine artists and reduce their earnings. Independent musicians, in particular, are vulnerable because they depend heavily on streaming royalties to support their careers.

One example is the band Final Thirteen, whose music was taken offline amid efforts to combat manipulated streams. Many indie artists face similar risks as streaming platforms struggle to detect and remove fake content quickly.

The use of AI to generate music and bots to fake streams creates unfair competition. Real artists invest time, creativity, and resources into their work, only to see their rightful income stolen by automated schemes. This undermines trust in streaming platforms and the royalty system.

Legal Actions and Industry Response

The federal case against Michael Smith began in September 2024, when he was charged with conspiracy to commit wire fraud. The prosecution focused on how Smith’s actions defrauded the music industry and violated laws protecting intellectual property and fair compensation.

US Attorney Damian Williams emphasized the seriousness of the crime, stating that Smith stole millions in royalties that should have been paid to legitimate musicians and rights holders. The conviction sends a clear message that AI-assisted fraud will face legal consequences.

Streaming platforms and rights organizations are also stepping up efforts to detect and prevent such fraud. They are investing in better algorithms and monitoring tools to identify suspicious streaming patterns and remove fake content. However, the rapid advancement of AI technology means this will be an ongoing challenge.

What This Means for the Future of Music Streaming

The Michael Smith case highlights the need for stronger safeguards in the music streaming industry. As AI tools become more accessible, the risk of similar fraud schemes will likely increase. Platforms must balance innovation with protection for artists and rights holders.

For musicians, this situation underscores the importance of vigilance and advocacy. Artists and their representatives should push for transparency in royalty calculations and support technologies that verify genuine streams.

Listeners also play a role by supporting verified artists and reporting suspicious content. Awareness of how AI can be misused in music helps maintain the integrity of the industry.

Key Takeaways

• Michael Smith used AI to create thousands of fake songs and bots to generate billions of streams.

• He illegally collected over $10 million in royalties meant for real musicians.

• The case is one of the first successful prosecutions of AI-related fraud in music streaming.

• Fake music and manipulated streams threaten the income and careers of genuine artists.

• Legal actions and improved detection tools are essential to protect the industry.

• Musicians, platforms, and listeners must work together to maintain fairness and trust.