I sat through the Justice Department press call while the prosecutor read streaming logs like a grocery receipt. You could feel the room shrink as the numbers—plays, payouts, accounts—added up into a crime scene. For 18 months, a man who turned automated plays into millions will live behind bars.
I want to cut through the noise and tell you what actually happened, why it matters to artists and platforms, and how fast an apparent loophole can become a felony. I’ve tracked digital-audio scams before; this one reads like an experiment that slipped its leash.
The courtroom began with a ledger on a screen.
Prosecutors say Michael Smith, a 54-year-old from North Carolina, automated thousands of accounts starting in 2017 and forced them to stream music that he controlled. At first those were his own songs; later he uploaded mass quantities of AI-generated tracks and had bots play bots—an ouroboros of robots listening to other robots.
The Department of Justice, represented by U.S. Attorney Jamie McDonald, described the scheme as using “super intelligence” tools to generate fake content and fake consumption. Smith pleaded guilty in March and was sentenced to 18 months in prison. He was also ordered to forfeit the $8,091,843.64 he was paid in royalties (€7,527,006).
What is AI music streaming fraud?
It’s deliberate manipulation of streaming metrics—creating or controlling accounts, automating plays, and uploading non-human content so that payout systems route money to the operator instead of real artists. Platforms like Spotify, Apple Music and YouTube Music compute royalties from large pools; if a machine manufactures plays, it distorts that economy and steals revenue from creators and rights holders.
A grocery run once bought airline miles.
In 2000 an engineer named David Phillips reportedly spent $3,140 (€2,920) on pudding and earned $150,000 (€139,500) in frequent-flyer miles. That sort of arbitrage looks clever until a company or law labels it theft. The difference between legal arbitrage and criminal fraud is often intent and the effect on others.
Smith’s operation crossed that line, prosecutors say, because it siphoned royalties from real artists and manipulated a commercial payout system used by millions. Billboard, the Justice Department and the streaming platforms all tracked the scheme as it ballooned.
How much did he make and what happened to the money?
According to filings and press statements, Smith was paid about $8.09 million (€7.53 million) in royalties. The court ordered forfeiture of that sum. Beyond forfeiture, criminal conviction carries prison time and the collateral damage of ruined accounts, seized hardware, and legal fees.
A small label owner opened their payout report and blinked at the math.
Streaming payouts are effectively a shared pot. Spotify and other services distribute a single pool of money proportionally, based on each artist’s share of streams. When fraudulent traffic takes a slice, that slice is removed from genuine creators—especially damaging to independent artists who live on thin margins.
You should know platforms use automated detection, pattern analysis, and account-review teams, but those systems lag behind new tactics. The DOJ’s use of the term “super intelligence” follows an executive order addressing advanced AI risks and signals federal willingness to treat some AI-enabled schemes as felony fraud.
Can you legally stream your own songs to boost plays?
Platforms prohibit artificial manipulation of streams. Running a handful of plays from friends is one thing; scripting thousands of accounts to generate continual consumption is another. Beyond platform bans, if the behavior intentionally converts royalties into personal profit at the expense of others, federal prosecutors may pursue criminal charges.
“By using automated accounts and AI-generated tracks to misdirect payments, the defendant stole money that belonged to real artists and their fans,” the Justice Department wrote in its sentencing release.
I’m not trying to scare you—I’m trying to be practical. If you work in music, you can and should watch for unusual account behavior, review your DSP dashboards, and when in doubt, ask platform support or legal counsel before experimenting with automation or synthetic audio. Tools that create music—AI models, audio generators, streaming aggregators—are powerful, and they’re watched closely by compliance teams at Spotify, Apple, YouTube Music, and rights organizations.
We’re witnessing an inflection point: what began as a clever exploit now reads as a clear example of how new technology can be repurposed for theft. The question isn’t whether someone can game the system; it’s what the legal and moral price will be when they do?