The Label Is the Experiment
A friend in LA figured out that the A&R function is just a slot machine, so he automated it.
AI music labels running A/B tests on artist identities continued. Suno, Udio, and the broader AI music ecosystem made the pattern even more accessible. The artist-as-hypothesis model is the default now.
There's a guy in LA running a record label the way you'd run an A/B test.
Different artist names. Different tracks. Release into the void, watch what sticks, then make more off whatever seed caught. The artist isn't the product — the artist is a hypothesis. The music is data. If a song performs, you haven't found a star, you've found a direction, and you spin up another pseudonym and go deeper.
This is not cynical. Or — it is cynical, but it's also just correct. The label system has always worked this way, except before you had to sign seventeen bands and wait three years to find out which one had it. Now you can run the experiment faster and with less paperwork.
The thing that kills me is the songs are good. The lyrics pop. The structure works. Someone tuned the genre knob and the output came back cooking, and now there are multiple o1-derived would-be Grammy winners sitting in a folder waiting for their fake artist name to get assigned.
The music industry spent decades pretending the magic was in discovering talent. It was always in discovering what the audience wanted to hear next. The talent was downstream of that.
Turns out you can do the downstream part first.
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