Training AI music models is about to get very expensive

MIT Technology Review 

However, the stakes are higher for AI music than for image generators or chatbots. Generative AI companies working in text or photos have options to work around lawsuits; for example, they can cobble together open-source corpuses to train models. In contrast, music in the public domain is much more limited (and not exactly what most people want to listen to). Other AI companies can also more easily cut licensing deals with interested publishers and creators, of which there are many; but rights in music are far more concentrated than those in film, images, or text, industry experts say. They're largely managed by the three biggest record labels--the new plaintiffs--whose publishing arms collectively own more than 10 million songs and much of the music that has defined the last century.