The legal landscape here is messier than a lot of people realize. DMCA takedowns work when you can identify where the cover was posted, but that's just treating the symptom - the AI model itself is already trained and out there. Even if you nuke one cover on YouTube or TikTok, someone else can generate the same thing in seconds with the same tool. So while platforms do pull content when artists complain, it doesn't actually stop the underlying problem of your voice being in someone's training data without consent.
What makes this tricky is that copyright law wasn't built for this. A traditional cover is a new performance that transforms the song legally - someone actually singing it, even if they sound like the original artist. But an AI voice? That's your actual voice characteristics being synthesized, which feels more like identity theft than creative work. Some jurisdictions are starting to recognize voice as needing protection similar to image rights, but enforcement is basically nonexistent right now. Artists in the US and EU have better legal footing than elsewhere, but you still need lawyers and money to fight it case by case.
The real pitfall nobody mentions enough is consent at the source. Those watermarking approaches are decent defensive measures, but the genie's already out of the bottle for established artists - their voices are already across decades of recordings online and in training datasets. Some musicians are experimenting with licensing their voices directly to AI platforms on their own terms, which at least gets them paid, but that's more about damage control than preventing unauthorized use. For now, most artists are stuck oscillating between takedowns and acceptance that this is just happening whether they like it or not.