A lot of AI music talk skips the one thing musicians care about most: staying human while keeping up.
We sit down with Zoë Wrenn, founder of Tamber, to unpack what happens when a touring musician and self-taught coder builds AI for music creation with an openly anti-generative stance and a focus on “sonic intelligence” over hype. If you’ve felt the pressure to produce at an inhuman pace, this one hits home.
We get into the uncomfortable parts of the AI boom, including companies chasing generative output “because they can,” deceptive releases that hide AI involvement, and why that mindset can damage artists psychologically, not just financially. Zoë shares what she saw firsthand at machine learning conferences, why refusing feedback is a massive red flag, and how she thinks creators and listeners lose when speed beats ethics. Along the way, we talk real startup lessons: raising investment as a solo female and LGBTQ+ founder, taking 98 meetings to get a yes, and learning how to keep your voice in rooms that are not built for you.
On the product side, Zoë explains why musicians communicate in emotion, color, texture, and place, and how synesthesia-inspired tagging can make music technology feel more intuitive. We also dig into ethical AI datasets, consent, authorship, and why building your own library of recordings with fair pay and clear permission is slower but worth it. Plus, Zoë tells the story of using early Tamber tooling to write a track in minutes that later reached tens of millions of streams, a case study in tech that supports creativity instead of replacing it.
