Success Stories
Artists and organizations who are making AI work — ethically, creatively, and commercially. Real people, real music, real results.
Featured Stories
Each story is chosen because it demonstrates a transferable lesson — not just because it worked.
Holly Herndon and HOLLY: Building an AI Vocal Twin With Consent
Key takeaway: Consent-first voice cloning can be a creative tool rather than an ethical violation — but it requires rigorous process, artist control, and a clear artistic concept that earns the technology.
Taryn Southern: The First Album Co-Written Entirely with AI
Key takeaway: A credible AI-assisted album is possible today — but the artist's role as curator, editor, and emotional guide remains essential. The technology accelerated Taryn's process; her taste determined the result.
AIVA: From Research Project to Licensed Film Composer
Key takeaway: A purpose-built AI composer with a clear use case — licensed soundtrack and underscore work — can achieve commercial viability and industry recognition. Domain focus beats general-purpose generation for professional music.
What We Look For
Not every AI music story is worth telling. We select stories that demonstrate a transferable lesson for working musicians and music professionals.
Documented process
We can trace what the artist or company actually did — not just the outcome.
Ethical clarity
The story illuminates a decision, not just a technical achievement.
Transferable lesson
Other musicians can extract a principle and apply it in their own practice.
Honest about limits
The story includes what didn't work or what the creator would do differently.
Have a Story to Share?
If you're a musician or music professional who has used AI in a way you think others could learn from, we'd love to hear from you.
Get in TouchWhat Our Guides Think
Holly Herndon's HOLLY is the template every AI voice project should follow: the artist built the tool, set the rules, retained control. That's consent, not just permission.
Taryn Southern's story is underrated. She proved in 2018 that AI music could be commercially credible before anyone believed it. The timeline matters — she was years ahead.
I'd love to see more stories from the Global South — musicians in Lagos, São Paulo, Jakarta who are using AI tools to amplify traditions that Western music AI barely knows exist.
AIVA's lesson is positioning: they didn't try to replace pop music. They found one professional use case, built for that specifically, and established legal clarity early. Domain focus beats general-purpose generation every time.
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