How A&R Teams Are Actually Using AI
AI in the music industry gets a lot of hype. We cut through it and look at what's actually useful — and what's just noise.
The hype vs. the reality
Every week there's a new headline: "AI is replacing A&R" or "Algorithm signs new artist to major label." The music industry has never been great at nuanced takes on technology, and AI is no exception.
The truth is more interesting — and more useful.
What AI is actually good at
There are two areas where AI genuinely earns its keep in A&R:
Finding the signal in the noise
When you receive hundreds of submissions a week, you can't listen to all of them. AI can flag the tracks that match your preferences, filter out the clearly off-genre submissions, and surface the ones worth a second look. The demos that don't fit — wrong genre, wrong energy, wrong moment — stop eating into the time you could be spending on the ones that do.
You still make the call. AI just helps you find the starting point faster.
What AI can't do
AI cannot tell you whether an artist has that thing. The ineffable quality that makes you play a demo three times in a row. The moment a voice comes in and the hairs on your arms stand up.
That's still yours. It will always be yours.
How we think about it at Sountic
We build Sountic around one principle: AI handles the workflow, you handle the music.
Every decision we make is designed to give you more time with the demos that matter, and less time with the ones that don't. If we're doing our job right, the platform should feel invisible — just you, the music, and a decision.
Curious what this looks like in practice? Get early access and we'll show you.