A major fraud case in the United States has revealed how artificial intelligence and automated systems were allegedly used to manipulate digital music platforms, diverting millions of dollars in royalties away from legitimate artists and rights holders.
Michael Smith, a 52-year-old resident of North Carolina, has pleaded guilty to charges related to a scheme that prosecutors say exploited vulnerabilities in the global streaming ecosystem to generate illicit profits.
According to the United States Department of Justice, Smith created thousands of AI-generated songs and uploaded them to major streaming platforms. He then used automated “bot” systems to artificially inflate streaming numbers, boosting the tracks to billions of plays.
Authorities stated that between 2017 and 2024, the operation generated more than 10 million dollars in fraudulent royalty payments, with daily stream counts reportedly exceeding 661,000. The scheme, officials said, allowed the suspect to systematically siphon income that should have been distributed to genuine artists and copyright holders.
The manipulation of streaming metrics highlights growing concerns over the integrity of digital music platforms, where revenue distribution is largely based on play counts and algorithm-driven engagement.
As a result of the scheme, investigators said the suspect earned approximately 1 million dollars annually at its peak, with total illicit gains exceeding 10 million dollars. Authorities are seeking the confiscation of around 8.1 million dollars linked to the case.
The case, described as one of the first major legal actions addressing AI-driven fraud in the music industry, underscores the rapid evolution of technological threats facing the creative sector.
Experts warn that the widespread adoption of artificial intelligence in content creation—combined with automated traffic systems—has opened the door to large-scale manipulation, posing a direct threat to artists’ livelihoods and the global music economy.
The case has also intensified debate over regulatory gaps in the digital age, as governments and industry stakeholders struggle to keep pace with emerging AI technologies.
In parallel, the rise of AI-powered music generation platforms capable of producing millions of tracks daily has raised further concerns, with studies indicating that many listeners struggle to distinguish between human-made and AI-generated content.
The incident is expected to accelerate calls for stricter oversight, improved detection systems, and new legal frameworks to protect intellectual property rights in the era of artificial intelligence. (ILKHA)
‘ The preceding article may include information circulated by third parties ’
‘ Some details of this article were extracted from the following source ilkha.com ’
