Michael Smith has been sentenced to 18 months in prison after using thousands of automated accounts to generate billions of fake music streams and fraudulently collect more than $8 million in royalties.

A music catalogue generating billions of streams would normally be considered a remarkable commercial success. But in the case of Michael Smith, the apparent audience behind those numbers was largely automated.

The 54-year-old musician and business owner from Cornelius, North Carolina, has been sentenced to 18 months in federal prison for orchestrating a music streaming fraud scheme that ran from 2017 to 2024.

Smith used thousands of fraudulent accounts and automated software to repeatedly stream music he owned, including hundreds of thousands of songs generated using artificial intelligence. At its peak, the operation involved as many as 10,000 bot accounts running simultaneously.

The fraudulent streams generated more than $8 million in royalty payments from major streaming services, including Spotify, Apple Music, Amazon Music and YouTube Music.

On October 6, 2026, a federal court in Manhattan sentenced Smith after he pleaded guilty to conspiracy to commit wire fraud earlier this year. He was also ordered to forfeit $8,091,843.64 and will serve two years of supervised release following his prison term.

The case has drawn attention across the music industry because it demonstrates how artificial intelligence and automated accounts can be combined to manipulate the systems used to distribute streaming royalties.

80.9 million streams in one month

One of the most striking details emerged from April 2023, when Smith's automated accounts fraudulently generated 80.9 million streams of his AI-generated music on YouTube Music through family plans.

During that same month, Taylor Swift's entire catalogue received 9.3 million streams on the platform from family-plan accounts, according to the US Department of Justice.

The comparison illustrates the extraordinary scale of Smith's operation. His fraudulent family-plan streams alone were almost nine times the number of family-plan streams recorded for Swift's entire catalogue during the same period.

These figures do not represent either artist's total YouTube Music streams across all account types. Rather, they highlight the scale of the artificial activity within the specific category identified by prosecutors.

For Smith, the objective was not simply to make music available online. It was to manufacture the appearance of genuine listener demand and collect the royalties generated by those plays.

How the operation worked

According to prosecutors, Smith built thousands of fraudulent accounts across multiple music streaming platforms and used software to keep them playing music he owned.

He spread the streams across thousands of tracks rather than concentrating them on a small number of songs. This helped avoid unusual spikes in individual track figures that might have alerted the platforms' fraud detection systems.

The operation also relied on fake email accounts and fraudulently obtained debit cards to create the accounts used for streaming.

Artificial intelligence became a crucial part of the scheme because the operation needed a huge volume of musical content. Smith generated hundreds of thousands of AI-created songs to give the automated accounts a large catalogue to play repeatedly.

The scale of the catalogue helped make the activity appear more distributed, while the bots supplied the listening figures needed to generate royalty payments.

The operation continued for approximately seven years, from 2017 until 2024, before the case resulted in federal criminal proceedings.

How fake streams can take money away from real artists

The case exposes a problem at the heart of the streaming economy.

Music platforms distribute royalties to songwriters, performers and other rights holders according to their respective agreements and the applicable payment systems. In many streaming models, revenue is allocated partly according to each track's share of eligible streams.

When an account genuinely listens to music, that play contributes to the wider picture of audience demand.

When automated accounts manufacture millions of fraudulent plays, however, the resulting figures can distort that distribution.

Money is paid to the person behind the artificial activity rather than being allocated entirely according to genuine audience listening. As a result, legitimate artists and songwriters can lose out on royalties they might otherwise have received.

The issue can be particularly significant for independent musicians, whose income from streaming may already be modest.

In Smith's case, prosecutors said the operation fraudulently generated more than $8 million in royalties. The financial consequences extended beyond the individual tracks involved because the activity manipulated the wider royalty system.

AI-generated music was not the central legal offence

An important distinction in this case is that Smith was not sentenced simply for creating music using artificial intelligence.

AI-generated music can be released through legitimate channels, subject to applicable laws, platform rules and rights requirements.

The criminal case concerned the fraudulent activity surrounding the music: creating fake streaming accounts, manipulating play counts and collecting royalties generated by those artificial streams.

On March 19, 2026, Smith pleaded guilty to one count of conspiracy to commit wire fraud. That was the offence for which he was sentenced.

The case therefore draws a clear distinction between using new technology to create music and using technology to deceive a platform's systems for financial gain.

As AI tools make it increasingly easy to produce music at scale, that distinction is likely to remain important for streaming services, artists and rights holders.

An 18-month prison sentence

The sentence followed months of legal proceedings after Smith's guilty plea.

Federal prosecutors had sought a prison term of at least 46 months, arguing that the case required a meaningful deterrent against large-scale streaming fraud. Smith ultimately received 18 months in prison.

In addition to imprisonment, the court ordered him to forfeit $8,091,843.64, corresponding to the proceeds identified in the case, and imposed two years of supervised release after his prison term.

The Department of Justice described the prosecution as its first-ever criminal case of this kind involving AI-assisted music streaming fraud.

The outcome sends a warning to anyone attempting to turn artificial engagement into real revenue: streaming numbers can be manufactured, but doing so to defraud royalty systems can carry criminal consequences.

What the case means for the future of music streaming

The music industry is already adapting to a landscape in which AI tools can generate large quantities of content at a speed that would have been difficult to imagine just a few years ago.

For streaming platforms, the challenge is no longer only how to host and recommend music. It is also how to distinguish genuine listeners from automated activity, identify suspicious account networks and protect the royalty payments intended for legitimate creators.

The Smith case shows how a large catalogue, automated streaming and fraudulent accounts can be combined into a single operation designed to exploit the economics of digital music.

It also highlights why raw streaming figures do not always tell the full story. A track with millions of plays may appear successful on paper, but the numbers mean very little if the audience behind them is not real.

Artificial intelligence can help people create music. It can also help produce content on a scale that challenges existing systems.

But when automated listeners are used to manufacture demand and divert royalties, the technology becomes part of a fraud scheme rather than a legitimate music business.

In Smith's case, the result was billions of artificial plays, more than $8 million in fraudulent royalties and an 18-month prison sentence.

The audience may have existed in the form of thousands of automated accounts. The legal consequences, however, were very real.