Federal authorities have secured an 18-month prison sentence for a North Carolina man who orchestrated a massive streaming fraud scheme utilizing thousands of automated bots. Michael Smith of Cornelius built a vast network of AI agents to artificially inflate listening figures for tracks he uploaded across major streaming platforms including Spotify, Apple Music, and Amazon Music.
Operating from 2017 through 2024, Smith used 52 cloud service accounts connected to virtual private networks to feed instructions to more than 1,000 automated bots. This infrastructure allowed him to continuously loop tracks, racking up roughly 661,440 daily plays and billions of total streams. Prosecutors noted that the scale of the automated listening traffic briefly rivaled or exceeded major human audiences on competing networks. By manipulating per-stream royalty payout structures, Smith fraudulently collected more than $8 million.
Legal action culminated after the Department of Justice brought charges of wire fraud conspiracy, wire fraud, and money laundering conspiracy. Smith pleaded guilty to a single count of wire fraud conspiracy, avoiding a maximum five-year sentence but drawing an 18-month prison term followed by two years of supervised release. He was also ordered to forfeit the entire sum of $8,091,843.64 generated through the automated operation.
Investigators clarified that Smith faced prosecution strictly over the financial mechanics of his monetization scheme rather than the use of generative AI tools to compose music. Industry analysts point out that while generative platforms have dramatically lowered the barrier to entry for content creation, automated click fraud siphons critical revenue streams away from human artists and legitimate songwriters relying on genuine listener engagement.
Comments