New York | In a startling case highlighting the misuse of artificial intelligence in the digital music industry, a North Carolina resident has been convicted for orchestrating a massive streaming fraud using AI-generated music and fake listeners. Michael Smith pleaded guilty to conspiracy to commit wire fraud, marking the first criminal conviction in the United States involving AI-driven music streaming fraud.
According to court documents, Smith illegally earned around $8.1 million (approximately ₹67 crore) through the scheme. The amount will now be forfeited, and he faces a maximum sentence of up to five years in prison. The final sentencing is scheduled for July.
FCRF Launches Premier CISO Certification Amid Rising Demand for Cybersecurity Leadership
How the ‘virtual fanbase’ was engineered
Investigations revealed that instead of building a genuine audience, Smith relied entirely on technology. He used AI tools to generate thousands of songs and uploaded them on streaming platforms under fake artist identities.
The tracks were given unusual, often scientific-sounding names to appear authentic. But the real manipulation began behind the scenes.
Smith created over 50 cloud-based accounts, each running multiple bot profiles. These bots continuously streamed his own songs around the clock. At its peak, the network generated more than 661,000 streams per day, earning him substantial annual royalties.
Chart-topping success—then a sudden fall
In 2018, Smith released a ‘Jazz’ album with a collaborator, which quickly climbed to the top of music charts. However, the success was short-lived.
Within days, streaming platforms detected suspicious activity and removed the album. This triggered closer scrutiny from distributors and royalty agencies, eventually exposing the fraudulent operation.
The ‘perfect mix’ of AI tools and bot networks
Further investigation showed that Smith leveraged an AI music generation platform capable of producing thousands of tracks weekly. These were uploaded using fake artist profiles, creating the illusion of a vast and active music catalog.
His bot network then repeatedly streamed these tracks, effectively gaming platform algorithms and siphoning money from royalty systems.
Major loophole in royalty model exposed
The case underscores a critical weakness in the music industry’s royalty structure, where artists are paid per stream. Fraudsters like Smith exploit this system, diverting earnings away from legitimate creators.
Reports suggest that even today, 1% to 10% of all music streams may be fraudulent, resulting in billions of dollars in losses globally each year.
Investigation and the road ahead
The fraud began to unravel in 2023 when a royalty collection agency halted payments to Smith over suspicious activity. By 2024, formal legal action was initiated, leading to his guilty plea.
Experts believe this is just the beginning. As AI technology advances rapidly, distinguishing between genuine and manipulated content is becoming an increasingly complex challenge for the industry.
Curtain falls on ‘fake stardom’
This case sends a strong message: while it may be easy to fabricate digital fame, escaping legal consequences is far more difficult.
For the global music industry, it serves as a wake-up call to strengthen safeguards and ensure that real artists are protected from exploitation in an era where “virtual stardom” can be manufactured at scale.
About the author — Suvedita Nath is a science student with a growing interest in cybercrime and digital safety. She writes on online activity, cyber threats, and technology-driven risks. Her work focuses on clarity, accuracy, and public awareness.
