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AI Music Fraud: 18 Months Prison for Streaming Bots

Michael Smith, 54, was sentenced to 18 months in prison after running a seven‑year AI‑based streaming fraud system. The case marks the first U.S. criminal prosecution of this kind.

The nullbot newsroomPublished on October 9, 20264 min readSources (2)
The Spotify app is open on a smartphone next to a pair of headphones.
NeONBRAND neonbrand · CC0 · Wikimedia Commons

On October 7, 2026, Ars Technica reported the verdict against Michael Smith, 54, from North Carolina. Smith was sentenced to 18 months in prison after pleading guilty to operating a streaming‑fraud system that had been running since 2017. The U.S. Department of Justice called him the first American to be criminally prosecuted for AI‑assisted music‑streaming fraud. In addition to the prison term, the court ordered the forfeiture of $8,091,843.64, an amount the ministry described as proceeds obtained from the fraud. The case therefore sets an early criminal benchmark for the manipulation of digital music markets with synthetic content and automated accounts.

How the system of accounts, bots and AI‑generated music worked

Smith created thousands of fake accounts on Amazon Music, Apple Music, Spotify and YouTube Music. According to the proceedings, he used invented e‑mail addresses and debit cards that had been obtained fraudulently. Up to 10,000 automated bots played songs continuously. The plays were spread across a large number of AI‑generated titles so that the activity appeared less like a concentrated manipulation. The system started in 2017 and ran for roughly seven years until Smith’s arrest in 2024. The technical automation was therefore not a single attempt but a continuously operated process with many accounts, titles and repeated retrievals.

By the time of his arrest, Smith had reportedly produced several hundred thousand AI‑generated songs and, with his bots, generated billions of automated streams in total. For April 2023 the Justice Department cites a particularly illustrative example: the fake titles accounted for 80.9 million streams in one month, while Taylor Swift’s entire catalog reached 9.3 million in the same period. t3n confirms that Smith at times generated more plays than Taylor Swift. This comparison does not demonstrate the popularity of synthetic music, but rather the capability of a system that artificially inflated plays on a massive scale.

What the court and the defense say about the eight million dollars

The Justice Department said the system deprived rights holders of millions of dollars in licensing fees. The court ordered the forfeiture of $8,091,843.64, the amount the prosecution attributed to the fraud. Smith’s defense countered that he had not kept the entire eight million dollars for himself. It accused the prosecution of making an example, and argued that a suspended sentence could enable a faster repayment. The ministry, in turn, pointed to increasingly deceptive methods, false statements to investigators and, in its view, the necessary deterrent effect of a custodial sentence.

The sources leave several points explicitly open. An exact total number of streams generated by the bots over the seven years is not given. Likewise, the amount of money that individual legitimate artists and rights holders lost is not quantified. The Justice Department merely says that the system reduced the overall payouts that would have been available. It also remains unknown how many of the thousands of fake accounts remained active after the scheme was uncovered. The sources say nothing about civil‑law compensation for affected parties; only the criminal forfeiture is documented.

Why platforms are now scrutinising synthetic catalogs more closely

t3n reports that streaming platforms are tightening their controls in response to the growing volume of AI‑generated music. The case shows that the decisive danger does not lie solely in the creation of synthetic songs. The model becomes fraudulent through the combination of mass‑produced titles, fake accounts and automated retrievals that simulate genuine demand. The also‑mentioned t3n project The Velvet Sundown reached millions of streams in the summer of 2025 and illustrates broader interest in synthetic music, but it is not linked to Smith’s crimes. This distinction is important because AI‑generated music does not automatically imply manipulated reach.

  • 18 months imprisonment for Michael Smith
  • up to 10,000 automated streaming bots
  • 80.9 million plays of the fake songs in April 2023
  • $8,091,843.64 court‑ordered forfeiture

For music services and collecting societies the verdict changes the risk assessment. They must not only examine individual suspicious titles, but also detect relationships between accounts, payment methods, device profiles, playback times and very large synthetic catalogs. At the same time, automatic checks must not equate every use of generative tools with fraud. The evidentiary burden must show where artificial content is coupled with artificial demand. For companies this means higher investment in detection, transparent blocking procedures and the preservation of technical evidence so that suspected cases can be not only blocked but also documented in a way that can support criminal prosecution if needed.

The case is therefore less a judgment on AI composition than on the manipulation of a royalty‑distribution system. Smith was not convicted because software generated music, but because, according to authorities, thousands of false accounts and bots fabricated billions of plays to siphon licensing payments. This separation gives platforms a usable line: creative tools can remain permitted, while automated phantom demand is pursued aggressively. It remains open how quickly providers will adapt their detection and how they will protect legitimate experimentation from false alarms. What is certain is that the first U.S. criminal proceeding of this kind provides future investigations with a concrete reference point.

Sources

  1. Fraudster jailed for using 10K bots and AI songs to outstream Taylor SwiftArs Technica · October 7, 2026
  2. Mehr Streams als Taylor Swift: Betrüger macht Millionen mit KI-Songst3n · October 8, 2026

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