Jan 6, 2026  ·  2 min read

What a former producer learned making an album with AI.

Fifteen Years in the Making

Over winter break I hit a goal I'd chased for 15 years: a full-length album that sounds the way I imagined it.

It's called American Intelligence, and I made it with Suno.

I used to produce music professionally, so I went in skeptical. I expected robotic artifacts and hollow performances. That's not what I heard. On a lot of takes, my producer's ear couldn't tell it from a human session.

I expected hollow performances.
I got my album.

Expertise Still Matters

A popular take says generative AI levels the field so far that expertise stops mattering. After this album, I disagree.

A novice can use Suno to get something decent. A professional can use the same tool to get something great. I wasn't prompting and praying. I knew arrangement, sonic texture, and genre. I knew when a bridge needed to lift and when a mix was muddy.

I'm not a songwriter, though. Every song on the album was written by professional human songwriters. I could have had AI write the lyrics and melodies, but I'd have been capped by my own lack of skill there.

Software works the same way. Coding agents help anyone build, and they make senior engineers far more effective, because those engineers know what to ask for and what good looks like. I expect the same in law, medicine, teaching, and the trades: professionals pairing their expertise with AI to do better work.

The tool amplifies taste.
It doesn't supply it.

Where the Value Moves

The music business was built on two things: capital to make records and legal teams to protect the rights. Tools like Suno pressure both.

01

Artists to curators

AI erodes the technical edge of singers and players while flooding the market with good records. When good songs are abundant, value moves to people who can find them and gather an audience. Taste, brand, and curation win.

02

Songs to utility audio

Stores, gyms, and hotels pay licensing fees for background music. Much of it is functional. A chain could generate royalty-free music fitted to its brand instead of renting hits. A static song is worth less when a good-enough substitute can be made on demand.

03

Production to attention

Labels used to front money for studios, engineers, and session players in exchange for the masters. As production costs fall, that deal is harder to justify. Labels become marketing companies, and the barrier to entry shifts from cost to noise.

A Lever for Creativity

Making American Intelligence confirmed what I'd believed for a while: AI is a lever for creativity. It let me skip the technical friction of recording and get straight to the music.

The industry is heading into a rough stretch of deflation and restructuring. For people with ideas, taste, and the drive to finish, it's a great time to make things.

Listen at music.ckbrox.com.