For quite some time now, human musicians have watched in horror as AI-generated slop has started drowning out their work on streaming platforms.
Companies like Spotify have discovered entire networks of bots that were designed to fraudulently boost the listenership of AI-generated music, a bizarre scheme essentially involving bots listening to bot music to capture royalties that could’ve otherwise been paid out to real human artists.
The problem has been around for years — but prosecutors are finally catching onto the dubious scheme and putting those running the bot farms to justice.
In a Department of Justice press release, the Southern District of New York attorney Jay Clayton announced that North Carolina native Michael Smith had plead guilty for creating “hundreds of thousands of songs with AI” and using “automated programs called ‘bots’ to fraudulently stream his AI-generated songs billions of times.”
The goal was to “mimic the genuine streaming activity of real consumers,” ultimately allowing him to “fraudulently obtain more than $8 million in royalties” across music streaming platforms such as Amazon Music, Apple Music, Spotify, and YouTube Music.
Smith pled guilty to one count of conspiracy to commit wire fraud, and is facing a maximum of five years in prison. His sentencing has been scheduled for July 29. Smith has also agreed to forfeit over $8 million he made on the scheme.
“Although the songs and listeners were fake, the millions of dollars Smith stole was real,” said Clayton in a statement. “Millions of dollars in royalties that Smith diverted from real, deserving artists and rights holders.”
“Smith’s brazen scheme is over, as he stands convicted of a federal crime for his AI-assisted fraud,” Clayton added.
The news highlights how AI tools aren’t just being used to impersonate artist; the tech is being used to generate phony listenership as well, through both armies of bots and unassuming listeners.
According to the press release, Smith’s payout was actively taking away from a singular “pool of funds” that could’ve gone out to “musicians and songwriters whose songs were legitimately streamed by real consumers.”
A Rolling Stone investigation into Smith published earlier this year found that the “suburban dad in his forties who owned a chain of urgent-care facilities,” was running 1,040 accounts across streaming platforms, each one streaming around 636 songs each day. According to Smith’s own estimates, he was earning roughly $3,300 a day, or over $1.2 milion a year.
While some of his songs were created by real musicians who were often not credited, per Rolling Stone, many other songs were fully AI-generated.
Smith was arrested at his home outside of North Carolina in September 2024 and initially denied any wrongdoing.
Beyond fraudulent schemes involving armies of listening bots, the use of AI on music streaming platforms has become a lightning rod. We’ve come across entirely AI-generated bands racking up millions of listens on Spotify, Apple Music and YouTube Music.
High-profile artists, like Aubrey “Drake” Graham, have found that their voices were being deepfaked for viral tracks that they had nothing to do with as well.
Spotify has since attempted to address the issue by coming up with new policies that forbid impersonation and establish common “AI disclosures in music credits.”
The company also claims to be investing “heavily in detecting, preventing, and removing the royalty impact of artificial streams.”
While the latest news suggests there’s at least some momentum in bringing perpetrators abusing music streaming platforms to justice, it remains unclear whether companies like Spotify have been able to meaningfully address the bot problem.
It’s a persistent game of cat and mouse that’s making it even more difficult for small artists to stand out as their work continues to be drowned out by AI slop.
More on AI music: The AI-Generated Tilly Norwood Just Dropped the Worst Music Video We’ve Ever Seen
Facts Only
Michael Smith pleaded guilty to conspiracy to commit wire fraud.
Smith created hundreds of thousands of AI-generated songs.
He used automated bots to fraudulently stream these songs billions of times.
The scheme mimicked genuine consumer streaming activity.
Smith obtained over $8 million in royalties from platforms like Spotify, Apple Music, Amazon Music, and YouTube Music.
He faces a maximum of five years in prison.
His sentencing is scheduled for July 29.
Smith agreed to forfeit over $8 million earned from the scheme.
The fraud diverted royalties from legitimate artists and rights holders.
Smith operated 1,040 streaming accounts, each playing around 636 songs daily.
He earned approximately $3,300 per day, totaling over $1.2 million annually.
Some songs were created by uncredited human musicians, while others were fully AI-generated.
Smith was arrested in September 2024 and initially denied wrongdoing.
Spotify has implemented policies to address AI impersonation and artificial streaming.
The case highlights ongoing issues with AI-generated music and bot-driven fraud on streaming platforms.
Executive Summary
Michael Smith, a North Carolina resident, pleaded guilty to conspiracy to commit wire fraud after creating hundreds of thousands of AI-generated songs and using automated bots to fraudulently stream them billions of times. The scheme, which mimicked genuine consumer activity, allowed Smith to collect over $8 million in royalties from platforms like Spotify, Apple Music, and YouTube Music. He faces up to five years in prison and has agreed to forfeit the illicit earnings. The case highlights a broader issue of AI-generated music and bot-driven streaming fraud, which diverts royalties from legitimate artists. While platforms like Spotify have implemented policies to combat such fraud, the problem persists, making it harder for human musicians to gain visibility. The incident also underscores ongoing debates about AI's role in creative industries, including deepfake impersonations of high-profile artists.
The case reveals tensions between technological innovation and ethical concerns in the music industry. AI tools are not only being used to create music but also to manipulate streaming metrics, raising questions about fairness and transparency in digital platforms. While prosecutors have taken action against Smith, the effectiveness of streaming services' countermeasures remains uncertain. The broader implications include the erosion of trust in streaming ecosystems and the financial strain on independent artists competing with AI-generated content.
Full Take
The strongest version of this narrative is that AI-driven fraud in music streaming is a systemic problem, not just an isolated incident. The case against Michael Smith demonstrates how easily AI can be weaponized to exploit digital platforms, diverting resources from human creators. The prosecution’s success signals growing legal recognition of this issue, while Spotify’s policy updates suggest industry awareness. However, the persistence of such schemes raises questions about whether current measures are sufficient or merely reactive.
Patterns detected: ARC-0024 Ambiguity (the framing of "AI slop" as inherently inferior without defining quality metrics), ARC-0043 Motte-and-Bailey (condemning fraud while implicitly critiquing all AI music as a threat to human artistry).
Root cause: The narrative assumes a zero-sum competition between human and AI-generated art, reflecting broader anxieties about automation displacing creative labor. It echoes historical patterns of technological disruption, where new tools initially destabilize existing power structures before normalization.
Implications: For human agency, this case reinforces the need for robust oversight in digital economies. The financial costs fall disproportionately on independent artists, while platforms and fraudsters benefit from scale. Second-order consequences may include increased skepticism toward AI in creative fields or calls for stricter regulation.
Bridge questions: How might streaming platforms redesign royalty systems to prevent such exploitation? What criteria should distinguish "legitimate" AI-assisted art from fraudulent schemes? Would decentralized or blockchain-based streaming models mitigate these issues?
Counterstrike scan: A coordinated influence campaign might amplify moral panic about AI "stealing" from artists, using emotional language to push for blanket bans on AI music. The actual content here avoids outright fearmongering but leans into the "human vs. machine" framing, which could be exploited. No structural alignment with a malicious playbook is evident, though the tone risks polarizing the debate.
Sentinel — Human
The article shows strong signs of human authorship, with varied sentence structure, specific attributions, and a distinct narrative voice. No significant stylometric or coordination red flags were detected.