Source: Venable

The piece frames the urgent industry question as not whether AI will affect music but how it will do so, and sets out nine discrete questions industry leadership must address. It distinguishes multiple categories of “AI Music” — production tools, full-generation platforms, fan products, sync tools, and voice/sound-alike products — and urges avoiding a single moral or legal category for all uses; each category will demand different inputs and responses. The author emphasizes musicianship as tied to artist identity, noting some workflow friction is wasteful while other creative friction is necessary to artistic development.

The article considers whether the sector can move from litigation to negotiated deals, while recognizing litigation and legislation may remain necessary, particularly around voice, image, name, and likeness (VINL). It surveys future economics — one-time buyouts, revenue participation, royalties, equity, and pay for model-training contributions — and identifies attribution as an unresolved payment and transparency problem. It questions whether current music-tech infrastructure is “fit-for-purpose,” highlights risks from oversupply and automated fraud that can leak streaming royalties to bad actors, and urges product transparency, rights-clearing features, and new licensing architectures. Fan co-creation is presented as a licensed category that can deepen engagement when properly structured. The author calls for AI literacy, rights literacy, infrastructure literacy, and artistic literacy in music education, and recommends ongoing monitoring of legal, regulatory, and commercial developments; readers are invited to contact author Peter Brown for further information.