The music industry is drowning in AI claims. Some are genuine shifts in how music is made, distributed, and monetized. Many are product marketing dressed as inevitability. A clear-eyed scientific perspective on AI and music has never been more valuable – or more rare.

In this interview, Amélie Anglade, one of the first AI researchers to apply machine learning inside music companies sits down with Steffen Holly from Fraunhofer IDMT to do something the industry rarely makes space for: an honest, evidence-based assessment of where AI genuinely delivers, where it falls short, and where the gap between marketing claim and technical reality is costing labels, publishers, managers, and artists real money and real opportunity.

Clearly, without an agenda, together they map the capabilities that are already proven and underused, the applications that remain genuinely speculative, and the areas where AI is quietly doing more than the skeptics acknowledge.

No keynote optimism. No doomsday framing. Just neutral scientific, researched evidence.