Michael Smith voice deepfake — Mar 2026
The case of Michael Smith highlights how generative AI is being used to create massive volumes of fraudulent music tracks to manipulate streaming royalties
- Incident date
- Mar 2026
- Target
- Michael Smith
In March 2026, a significant criminal case highlighted the growing threat of AI-assisted music streaming fraud. Michael Smith, a 54-year-old North Carolina man, pleaded guilty to conspiracy to commit wire fraud after using generative AI to automate the creation and streaming of music tracks to siphon millions in royalty payments.
What happened
Michael Smith executed a large-scale streaming fraud scheme by leveraging generative AI to produce hundreds of thousands of songs at a minimal cost. According to the U.S. Department of Justice, Smith created thousands of accounts on streaming platforms and utilized specialized software to automate the repeated streaming of these AI-generated tracks. This process resulted in billions of artificial plays, which allowed him to misappropriate over $8 million in royalties.
As part of his guilty plea, Smith agreed to forfeit $8.09 million and now faces a maximum potential prison sentence of five years. This incident underscores a broader industry challenge where generative AI enables fraudsters to scale streaming manipulation far beyond traditional methods. Industry executives estimate that approximately 10 percent of music streams are currently fraudulent, with AI-generated content accounting for a significant portion of this activity. In response, platforms like Spotify and YouTube are implementing new disclosure labels and detection systems, while industry groups like the IFPI have launched the Streaming Integrity Initiative to better verify rights ownership and combat fraudulent uploads.