In this talk, we'll navigate the complex terrain of AI data origins—text, audio, images, and beyond—highlighting challenges in attribution and copyright that echo the music industry's evolution from Napster to Spotify. Drawing parallels with how early digital platforms changed the landscape of music consumption and artist compensation, we'll explore potential pathways for establishing fair compensation models in AI. This talk aims to uncover how creating legitimate frameworks for compensating rights holders can foster an ecosystem where innovation exists alongside the rights and recognition of artists.