Where Redesign Records Stands on AI

Every label is having this conversation right now, whether they admit it publicly or not. We'd rather have it out loud.

By 2026, AI in music won't be hypothetical. The majors have settled with Suno and Udio. Spotify is rolling out AI disclosure credits. Apple Music tags AI-generated tracks at delivery. Deezer built its own detection system and quietly demotes what it finds. The infrastructure for "AI or not" has been built over about 18 months — not because the industry wanted this fight, but because it had no choice. A third of new uploads to some catalogs are now fully AI-generated. The platforms aren't asking "should this exist?" They're asking, "Do we know what we're listening to?"

We think that's the right question. So here's our answer for our own roster.

Why this matters to us, specifically

Redesign Records exists because of a belief that's older than any of this: that electronic music works on people because a human being made a decision — about a chord that almost resolves, a hi-hat that comes in a sixteenth late, a vocal take that cracks slightly on the high note and gets kept anyway. That tension between intention and imperfection is the entire reason a track in a dark room at 3am can make a stranger close their eyes. It's not a production value. It's the product.

I've spent enough years on both sides of this — building a company, then a decade trying to help other people build things that actually meant something — to recognize the pattern when craft gets quietly replaced by output. AI-generated music isn't dishonest by default. But music that lets a machine make the creative decisions, and then gets presented as someone's artistic voice, is. That's the line we care about, and it has nothing to do with which software is open on your screen.

What we actually require

Here's the policy, plainly:

AI-assisted production tools are welcome at Redesign Records. Stem separation, AI-assisted mixing and mastering, sound cleanup, reference matching, even AI-assisted sound design as raw material you then shape yourself — all of that is a tool, just like a sampler or a plugin chain. Use what helps you finish a better record.

What's not on the table: AI-generated melodies, AI-generated vocals, and AI-generated compositions, in whole or in part, presented as your own. If the core musical idea — the melody, the chord progression, the vocal performance, the arrangement — was generated rather than performed, written, or programmed by you, it doesn't go out on this label. Full stop.

And we're asking every producer releasing with us to tell us plainly what they used and where before the release goes out. Not because we assume the worst. Because disclosure shouldn't be something you only do when a platform forces you to, and because the artists building real careers on craft deserve a label that can say, honestly, what's behind every record in the catalog.

Why are we not waiting for the platforms to make us?

Spotify's AI Credits and Apple's Transparency Tags exist because the industry got caught flat-footed — detection bolted on after the fact, trying to sort years of catalog after the damage was already done. We don't want to be in that position. We'd rather set the standard for our own roster now, while it's still a choice, than have it set for us later by a DSP's detection model deciding what our music is allowed to be.

This also isn't a purity test. We're not interested in policing every plugin or interrogating every producer's workflow. Most of what AI does well in a studio — cleaning up a vocal, separating a stem, speeding up a tedious technical step — has nothing to do with whether the music itself was made by a person. We just think that distinction is worth being honest about, in public, before someone asks.

If you're releasing with Redesign Records, tell us what you used and how you used it. If the answer is "I used AI to generate the lead melody," that's a conversation, not a release. If the answer is "I used AI to clean up my vocal stem before I mixed it myself," welcome to the label.

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