A Song in 30 Seconds

Type a prompt — "upbeat indie pop song about a road trip, female vocals, acoustic guitar" — and thirty seconds later, Suno gives you something that sounds like it could be on a playlist. Complete with a hook, a bridge, and harmonies that don't feel algorithmic.

This is either the most exciting thing to happen to music creation in a generation, or an existential threat to professional musicians, depending on who you ask.

I think it's both, and that the tension is the interesting part.

What "Ownership" Has Always Meant

Copyright law in the U.S. requires human authorship. The Copyright Office has been clear: AI-generated content without meaningful human creative input is not copyrightable. You can't own a Suno track the way you own a song you wrote yourself.

But this framing assumes that ownership is primarily a legal construct. For most of human history, creative ownership has been a social construct — a story we tell about who made something and why that matters.

When a DJ samples a James Brown record, who owns the culture that record represents? When a ghostwriter produces a memoir, who "wrote" the book? These questions don't have clean answers, and they predate AI by decades.

The Two Real Questions

The legal question (who can profit from AI music) is going to be litigated for the next twenty years. The more interesting questions are:

1. Does AI music have artistic value?

Separate from who made it, does it move you? Suno at its best produces music that is formally competent and occasionally surprising. At its worst, it sounds like a demo. The same range exists in human-produced music.

The genre that's most immediately threatened is professional background music — corporate videos, podcast beds, elevator music. That market was already commoditized. AI just makes it cheaper.

2. What happens to the craft?

The argument that worries me more isn't about economics — it's about what happens to musical knowledge when fewer people need to develop it. Jazz theory, counterpoint, mixing technique: these took decades to develop as traditions because each generation learned by doing.

If you can generate a passable track without understanding harmony, fewer people will learn harmony. That might be fine — or it might mean that the next generation of genuinely innovative musicians has a shallower pool to draw from.

Where I Land

AI music tools are probably most valuable as a sketch pad — a way for artists to rapidly prototype ideas before committing to production. That framing keeps humans in the creative driver's seat while using AI to compress the iteration loop.

The threat is when the sketch becomes the product. Not because AI tracks are worse — sometimes they're not — but because the process of making music, the struggle and the craft, is part of what gives the artist something to say.

Suno can write a song about a road trip. It's never been on one.