Folk musician Murphy Campbell finds AI copies of her songs on Spotify

In January 2026, folk musician Murphy Campbell opened her Spotify profile and saw tracks she had not uploaded. The songs were familiar, her own recordings, but the vocals sounded strange, as if someone had run her voice through a filter and broken something along the way. After looking into it, Campbell reached a disheartening conclusion: someone had downloaded her performances from YouTube, processed her voice with AI voice-cloning tools and uploaded the resulting tracks to streaming platforms under her name.

Journalists at The Verge ran one of these tracks, "Four Marys," through two independent AI-content detectors. Both returned the same verdict: the vocals were very likely generated by artificial intelligence.

For the artist herself, it was a blow. By her account, she had been sure there was at least some protection against this kind of thing. There wasn't. Voice-cloning technology has been available to a wide audience for several years, and the legal system simply failed to keep pace. Uploading someone else's AI versions of tracks to Spotify is technically easy: the platform does not require proof of authorship when content is published through distributors.

Campbell's case is not an isolated one. Over the past two years, musicians around the world have reported similar incidents: their voices are cloned, their names are used without permission, and the tracks earn streaming royalties that go to fraudsters. Independent artists are especially vulnerable, since they have neither the legal teams nor the resources of major labels to track and challenge such violations.

The DMCA system, which online copyright protection has traditionally relied on, was built for a very different threat landscape. It assumes that an infringer uploads someone else's content as is. But when AI generates a new file based on someone's voice, the legal picture blurs. Is a synthetic voice a copyright violation? Who is responsible: whoever trained the model, whoever generated the track, or the platform that accepted it? In most countries, the law does not yet give a clear answer.

Murphy Campbell's story reveals a double problem: technology is moving faster than the law, and platforms have not yet taken on proactive responsibility for verifying content. While lawmakers deliberate, ordinary musicians are left alone with tools that can create a deepfake of their career in a few minutes and place it where millions of people listen.