Man pleads guilty to $8 million AI-generated music scheme

Summary

This article reports that a North Carolina man, Michael Smith, 54, has pleaded guilty to running a years-long music-streaming fraud that siphoned more than $8 million in royalties by exploiting AI-generated tracks and thousands of bot accounts.

Prosecutors say Smith acquired a vast catalogue of computer-generated songs with accomplices, uploaded hundreds of thousands of tracks across major services (Amazon Music, Apple Music, Spotify, YouTube Music) and used automated software plus up to 10,000 active bot accounts at times to generate billions of plays between 2017 and 2024. He used fake emails, outsourced labour and VPNs to mask the activity and made false statements to platforms and rights organisations. Smith faces up to five years in prison.

Key Points

Michael Smith admitted inflating streaming numbers for hundreds of thousands of AI-generated songs, netting over $8 million in royalties.
The scheme used thousands of bot accounts (reportedly up to 10,000 active at once) and automated play software to create billions of streams from 2017–2024.
Tracks were spread across many titles and routed through VPNs to mimic legitimate listeners and avoid detection.
Smith purchased bulk fake email addresses and outsourced account registration to scale the operation, and made false statements to streaming services and distributors.
The fraud diverted real income away from legitimate artists and songwriters; Smith could face up to five years in prison.
Streaming platforms are responding: Deezer reports huge daily volumes of AI tracks and is expanding detection tools; Apple is rolling out AI-transparency metadata to help distinguish synthetic content.

Context and relevance

This case is a concrete example of how AI-generated content can be weaponised to exploit existing digital-payment systems. It intersects with growing industry efforts to detect synthetic music and add transparency metadata, and underscores legal and operational risks for platforms, distributors and rights organisations. For artists and rights managers, it highlights vulnerabilities in royalty attribution and the urgent need for better verification and detection mechanisms.

Why should I read this

Short and blunt: this isn’t just clickbait — someone used AI and cheap labour to steal millions from real artists. If you care about music, royalties, platform trust or how AI gets misused, this story shows where the weak points are and why platforms are scrambling to fix them. We skimmed the court filings so you don’t have to.

Source

Source: https://therecord.media/man-pleads-guilty-8-million-ai-music-scheme