Source: Cantgetmuchhigher
The economics of AI model training create a structural incentive to use copyrighted music without permission—the cost of licensing at scale is prohibitive, while the enforcement mechanisms remain scattered across fragmented rights holders and underfunded legal systems. As generative music tools become commercially viable, the situation echoes the MP3-era arbitrage where technical capability outpaced legal remedies, except this time the stakes involve entire creative professions rather than distribution chains. The pressure point isn't moral suasion but licensing infrastructure: whoever builds the first efficient, statutory solution for clearing training data rights at scale will alter both AI development and music industry economics.