"I'll start when I can program proper chords." "I'll jump in when MIDI export is cleaner." Every musician has their version. And every one of them is making the same expensive mistake. Here's why waiting for perfect AI music tools is the most costly decision you can make right now.

There is a logical contradiction at the center of most AI music criticism, and I want to name it directly. The people who say AI music is worthless garbage are often the same people who say it's destroying the music industry. Sometimes they're the same person in the same comment. Pick one. You don't get both.

I've been in bands. I've released music. I invest in music royalties, which means I almost certainly own the rights to songs used to train the AI models I now teach people to use. So when someone asks where I stand on AI and the music industry, here's the honest answer: I don't label industry changes as good or bad. I label them as variables that have changed. And then I figure out what to do next.

Here is how most people learn AI music production. They search YouTube for Suno tips. They find a video. They take notes. Then they search again. They land on a Reddit thread. They ask ChatGPT. Six months later they have a folder full of notes, a bookmarks bar full of links, and a production process that feels like a quilt stitched together from patterns that don't quite match. The music sounds like it too.

Critics are comparing AI music to the 2021 NFT boom. But while NFTs relied on speculation, AI music relies on utility. Discover why building a catalog and mastering AI direction is the opposite of "holding a bag."

The industry is swinging hard at Suno and Udio, but the pipeline is full of global competitors like Mureka and ElevenLabs. You can’t win a game of whack-a-mole by swinging harder—you win by stepping away from the machine and learning to direct the future.