Does The Source Matter?

I'm not asking you to call AI music a new genre. Or a new art form. Or anything special at all.

I'm asking you not to dismiss it.

Because here's what I see happening, again and again: people decide AI music isn't real before they ever listen to it. They settle the question without asking themselves the one that actually matters. If the song moves you — if it makes you feel something — does it really matter where it came from?

I didn't always think this way. I want to admit that, because I think a lot of the people arguing against me are just standing where I used to stand.

I used to think artists who didn't write their own songs weren't really artists. Then I learned how much of the music I love was written by people who never sang a note of it. Diane Warren has written hits for Celine Dion, Beyoncé, Aerosmith, and a dozen others, and she'll tell you herself she's not the one on stage. The Brill Building in the 1960s was a factory of songwriters — Goffin and King, Bacharach and David, Leiber and Stoller — handing finished songs to the artists who made them famous. Nobody calls those songs fake. So I was wrong about that.

I used to think producers who pushed buttons and never picked up an instrument weren't real musicians. Then I actually listened to hip-hop, to electronic music, to half the records on the radio. The "instrument" was the machine. The art was in the choices. I was wrong about that too.

And once you've been wrong twice, you start to notice a pattern. Because this argument — that's not real art, a machine made it — is not new. It is one of the oldest arguments there is. And it has lost every single time.

We have had this fight before

When photography arrived in the 1800s, the art world's verdict was brutal. A machine captured the image, so where was the artist? The poet Charles Baudelaire called photography "art's most mortal enemy." For decades, serious critics refused to hang a photograph next to a painting. Today photographs sell at auction for millions and nobody blinks. The machine didn't kill art. It became art.

When synthesizers and drum machines spread in the 1970s and 80s, the reaction was the same. Too perfect. Too cold. Soulless. In 1982 the UK Musicians' Union literally tried to ban synthesizers and drum machines to protect "real" musicians' jobs. That same "soulless" complaint had already been thrown at the player piano, and at recorded music itself. Now the synth and the drum machine are the backbone of pop, hip-hop, and dance — and the producers who pioneered them are studied like the masters they are.

When hip-hop built entire songs out of other people's records, people said it wasn't music at all — just theft with a beat. The lawsuits came; the 1991 Grand Upright v. Warner case nearly outlawed the whole technique. Hip-hop is now the most influential genre on the planet.

Every time, the complaint sounds airtight in the moment. It's not real. A machine did it. Where's the human? And every time, the answer turns out to be the same: the human is in the choices. The human is in the taste. The human is in deciding what's worth keeping.

The training argument is its own conversation

The other thing I keep hearing is that AI "stole" by training on other people's music — that a model learned by listening to artists who never said yes.

Honestly, I don't see how that's different from what every musician who ever lived has done. You pick up a guitar and you learn by copying your heroes. You absorb thousands of songs and out comes your own sound, made of everything you ever heard. Nobody asked Paul McCartney for permission when a teenager learned his bassline. We call that influence. We call it studying the craft. A machine does the same thing faster, and suddenly it's theft?

That said — there is a real issue buried in that argument, and I don't want to wave it away. The issue isn't "a machine learned from music." The issue is consent and compensation. Did the artists whose work trained these systems get asked? Are they getting paid? That's a fair fight, and it's actually being settled right now. Universal Music settled with Udio in late 2025. Warner settled with Suno weeks later. Both are moving to licensed models in 2026. The industry isn't deciding AI music is fake — it's deciding how everyone gets paid. Those are completely different conversations, and people lump them together to avoid the one they'll lose.

Pay the artists. Credit the sources. License the data. I'm all for it. None of that touches the question of whether what comes out the other end can be art. It can.

What this actually is, for me

Here's the part I want to say plainly, because "a machine made it" doesn't describe my life at all.

I'm a songwriter. I always have been. I've written hundreds of songs and most of them have lived in notebooks because I can't sing. I sang in my old band years ago — and I'm the first to admit that's most likely why we never went anywhere. For most of my life, my songs sat silent. The world didn't have a way for me to put them out.

What AI gives me is a way to put them out.

It doesn't write them. It doesn't fix them. It doesn't replace the part of this that's me. The lyrics are mine — every word. The choices are mine. I decide which voice carries the song and what it wants to be. I'm in every cut, every line, every release on this site.

But it does mean my songs finally get heard.

And here's the part that I think matters most: there are a lot of other songwriters out there like me. People with real talent who never had a path to a singer, or a producer, or a label. People whose music would've died in a drawer. AI doesn't replace human artists — it makes room for a whole class of writers the old system never made room for in the first place.

I don't need AI music to be the next form of art for it to be legitimate. It's already legitimate the moment a song reaches a person and moves them. That's the whole job, and it always has been.

So I'm not asking you to call any of this special. I'm not asking you to call it the future. I'm asking you to listen — and to ask yourself the one question that actually matters.