The growing volume of litigation relating to alleged use of works protected by copyright to train AI models and tools, and the value of high-quality data needed to train future models, has underlined the need for a sustainable framework that acknowledges the inevitable trade-offs and establishes clear, enforceable rules of the road. The status quo allows developers to potentially benefit from the unlimited, free use of copyrighted material, whilst negotiations are stalled.