For two years, the fight between major labels and AI music platforms has looked like a courtroom war: labels suing Suno and Udio for training on copyrighted recordings without permission, platforms arguing fair use, everyone waiting on a judge to decide who’s right.
This week, Universal Music Group showed it isn’t relying on that outcome alone.
Through Music IP Holdings (MIH), the patent-licensing vehicle it formed with Liquidax Capital last year, UMG is trying to do something potentially more consequential than win a lawsuit. It’s trying to define what a legitimate AI music company looks like before the courts, Congress, or the industry itself settle on the rules.
MIH unveiled an array of patents this week: more than 24 patents already granted or approved, with over 50 more pending. According to the company, these span the full AI music pipeline: prompt entry, moderation, watermarking, identifier tagging, authorization, licensed distribution, and payment. Udio and new social-streaming startup GRAI are the first companies to license it.
The framing is proactive and protective. Artists get paid, rights holders get control, and “responsible” AI companies get a clear path to make songs. But look at what’s actually being sold, and a different story emerges — one about who gets to define compliance in an industry that hasn’t agreed on what compliance means.
The Labels Stop Reacting
When we wrote about Warner Music Group assembling its AI stack, the strategy was already moving beyond licensing. Warner’s acquisition of Sureel added an audit layer capable of tracing training-data use, voice and likeness replication, and downstream attribution. Startups are chasing the same problem from different angles: provenance, attribution, and compensation.
MIH takes that logic further. Instead of offering one piece of the compliance stack, it wants to license the most critical elements of the stack itself.
For most of the generative-AI era, major labels have been reacting to technology someone else built. AI companies launched products and attracted users, and only then did rights holders decide whether to license them, fight them, or sue them.
MIH is trying to reverse that relationship.
And the patent filing history suggests this wasn’t simply reverse-engineered from the lawsuits. The foundational patent family traces back to an October 2023 filing — eight months before the majors sued Suno and Udio. The basic idea of embedding rightsholder preferences, automated approval, watermarking, and controlled use into AI generation was already taking shape before those courtroom fights began.
So, UMG has been playing the long game. Instead of arguing afterward over whether a new platform’s safeguards are sufficient, it’s trying to establish the architecture first.
AI music companies have spent the last few years competing on model quality, speed, controllability, price, workflow, and user experience. MIH pushes the conversation toward another axis entirely: legitimacy.
Owning the Assembly Line
What makes MIH’s patent portfolio unusual is its breadth. Most patents protect a specific invention — a watermarking algorithm, detection method, or way of tagging metadata. Instead, MIH’s portfolio covers a connected chain: prompt, moderate, watermark, tag, authorize, distribute, pay.
That’s essentially claiming major pieces of the assembly line.
And the deeper you get into the patents, the more the strategy comes into focus. MIH isn’t merely proposing that AI-generated music carry a label saying where it came from. One provenance system describes identifiers that could travel with a track and tell partner platforms what they can do with it — including whether it can be played, distributed, monetized, or even recommended.
The larger ambition appears to be turning rights information into something executable.
Today, permission mostly lives in individual contracts. MIH imagines software being able to answer those questions automatically: Can this song be remixed? Can this voice be altered? Can the resulting track be recommended? Where can it be distributed? Who gets paid?
At generative scale, several patents describe ways to pre-approve transformations or evaluate requests against an artist or rights holder’s preferences before and after generation. Instead of asking a label to approve 50,000 fan remixes one by one, the rules could be encoded once and enforced automatically.
That’s potentially UMG’s answer to one of AI licensing’s biggest practical objections: you can’t individually negotiate millions of generations. So don’t. Build the permissions into the system.
MIH’s own language makes the ambition explicit. Its licensing portal describes the portfolio — now up to 28+ patent families and more than 90 issued, allowed, and pending assets — as a “Content Rights Operating System.” Rights holders get the “Protect & Participate” framework, while AI platforms get “License & Launch.”
The branding says plainly what the patents imply structurally — this is meant to be the layer everything else runs on, rather than one tool among many.
It’s worth being precise about what a license actually buys. MIH’s FAQ says a patent protects a method, not code or a product. Instead of a plug-and-play compliant system, Udio and GRAI are paying for the legal right to build one using methods MIH owns.
MIH isn’t handing out the assembly line. It’s licensing the blueprint so each company can build confidently.
When Opting Out Is Too Costly
UMG doesn’t have to make that assembly line mandatory industry-wide. Standards rarely become standards because everyone is legally forced to use them; they become standards because opting out gets inconvenient economically.
Not long ago, Udio was on the opposite side of this fight — the target of lawsuits brought on by the three majors. Now, nearly a year after settling and partnering with UMG and Warner, Udio is one of the first companies licensing compliance infrastructure tied to the same major-label ecosystem it had been battling.
GRAI matters for a different reason. It has no equivalent litigation history. MIH is both offering non-compliant platforms a way to go legit, and positioning itself as something future AI companies might adopt from the jump.
Which puts all eyes on Suno’s next move.
If MIH gains traction, the risk for companies outside the framework — like Suno — may eventually extend beyond lawsuits to whether distributors, investors, advertisers, and partners consider them safe enough to work with. Or, it could be the path by which Suno and UMG finally settle their ongoing legal dispute.
Look at how DSPs are already treating this music. Deezer’s Chief Innovation Officer told Zinstrel in July that it’s actively suppressing AI music in recommendations, Spotify is excluding AI-generated artist personas from recommendations by default, and Tidal has ended monetization for fully AI-generated songs entirely.
The public-facing reasons vary — fraud prevention, transparency, listener trust, human-first discovery — but they point toward the same larger reality: generated music increasingly needs a sufficient chain of permissions to move through the industry.
MIH wants to become the easiest route into that licensed ecosystem.
Its own patents point to that relationship with downstream platforms, describing partner services using embedded rights information to allow or restrict playback, distribution, recommendation, and other uses.
That makes the idea of a “rulebook” a lot less metaphorical.
UMG doesn’t need Congress to declare MIH’s operating systemthe rulebook. It just needs enough of the industry to start treating it like one.
The Money Gap
The part of this system that matters most to artists remains conspicuously undefined: how the money actually moves.
MIH describes identifier tagging and payment rails capable of routing royalties across open and closed ecosystems. What it doesn’t publicly lay out is the formula.
Neither the original announcement nor MIH’s licensing portal publishes a royalty formula, rate card, or preferred mechanism for how an “influenced” artist’s share gets calculated. For a system built around the promise that artists share in the value their work creates, that’s the one number missing.
If generated music reflects an artist’s work or influence without directly sampling it, how much revenue is owed? Who decides? How is influence measured?
That’s not a minor implementation detail. It’s arguably the most important question for artists deciding whether this system protects them or simply creates another licensing revenue stream upstream.
From Protection to Product
But the patents also reveal that protection isn’t the only opportunity UMG sees here.
Three separate “Superfan” patents envision subscription tiers where paying listeners could unlock deeper AI interactions with artist IP — a lot of the functionality we’ve labeled “Active Listening.” It includes remixing music, creating visuals, generating merchandise, and accessing other artist-approved experiences. Combined with patents for pre-approved transformations and older UMG technology built around interactive stems, a recognizable product strategy emerges.
The same infrastructure that prevents unauthorized manipulation could also make authorized manipulation a premium product.
UMG is already testing that philosophy elsewhere: Hook now offers pre-cleared fan remixing under artist-defined controls, while Spotify’s UMG deal covers licensed AI covers and remixes for participating artists.
That fits neatly into the shift toward active listening we’ve been tracking: fans doing more than pressing play, but doing it inside boundaries artists and rights holders can define — and monetize.
And now GRAI and Udio’s Starstruck are both at the forefront of this new expression of AI music. Spotify and KLAY — which already have licensing relationships with UMG — become obvious companies to watch for future MIH adoption.
Beyond Music
The portfolio doesn’t stop at music. The original announcement lists video, film, animation, images, and text alongside audio, plus applications involving name and likeness. One filing extends the same approval-and-watermark logic to physical merchandise: AI-generated album art, apparel, posters, and virtual goods rendered for the metaverse.
The pattern underneath all of it is the same regardless of medium — a request comes in, a system checks it against the rightsholder’s preferences, and only then does anything get created, tagged, or sold. Music is where MIH is deploying first. It isn’t where the architecture stops.
A patent-licensed compliance system could be genuinely valuable for artists, creating attribution, permission, and payment infrastructure at a scale individual creators could never negotiate themselves. But benefiting from a system and participating in its design aren’t the same thing.
The entity helping define what “responsible” AI looks like is also positioned to profit when platforms license that definition.
That’s not necessarily bad-faith design. It’s simply worth naming plainly: this isn’t a neutral standards organization asking the industry what system it wants. It’s a rightsholder building the compliance layer it wants to exist, then inviting the industry to operate inside it.
When you look at them all together, the patents suggest UMG’s endgame isn’t simply identifying authorized AI music after it’s made. The Content Rights Operating System is turning music rights into software — rules that can determine what users are allowed to create, what AI companies are allowed to generate, what platforms are allowed to distribute or recommend, and how money moves when they do.
ASCAP and BMI became infrastructure because they made millions of otherwise impractical licensing transactions manageable. Through MIH, UMG is making a similar bet about generative AI: eventually, platforms may prefer plugging into an established rights system over renegotiating the underlying argument every time.
The most consequential AI music standard may not come from the halls of Congress or a U.S. District courtroom at all.
Ultimately, the AI music tug-of-war may be decided not by who wins permission to train, but by who gets to define what permission looks like afterward.
🆕 New AI Music Releases
Albums & EPs
DropKick Princess – Meta-Tartarus (Rock / Alternative)
Kayla Truth – Free Kayla (Christian/ Gospel)
Nicola Nicoletti – Rewritten (Pop)
Singles
Honest Bob – “Potato Man” Single (Rock / Alternative)
JOHN – “Under Appreciated” Single (R&B / Soul)
LucKy Nobody Music | feat Denny – “Guaranteed NonHuman” Single (Pop)
Our County Line – “Fight (Like We Mean It)” Single (Country)
RICHMOND – “See Through Me” Single (Rock / Alternative)
Sam Anderson – “That Judas kiss” Single (Electronic / Dance)
Syndi – “A Thin Line” Single (Pop)
VANYRA X – “Empty Rooms” Single (Pop)
Music Videos
Jestress – “The Fifth Path” Music Video (Hip-Hop / Rap)
WINTHER + DEZBAL – “UNWORTHINESS” Music Video Single (Rock / Alternative)
🎧 Song of the Day: “Quietly We Wait” by Kara Vale
Many months after reviewing Heaven.exe, we’re still listening to the album, especially its chill, harmonic, trip-hop-beat-laden opener.
💬 Last Word
“AI music spent its first chapter proving it could create. The next chapter is harder. Can it transact?”
— AI Artist Hub Founder/CEO Julius White, via LinkedIn
MORE ZINSTREL:
Zinstrel.com | @zinstrel_ai on Instagram | AI Underground on Discord | r/Zinstrel
Copyright 2025-2026 Zinstrel, LLC - All rights reserved
Written by Marcus Lawrence, courtesy of composition platform Versey.ai
Special thanks to our paid subscribers: Blue Hermit, C.Y. Lee, Charles S, Daniel Drolet, Daniel Lares, Daryl Dekking, Dexter Garcia, Drew Thurlow, Jacci Cenci-McGrody, Lenny Skolnik, Lynn Clapp, Marc Wolinsky, Matthew Marturano, Matti Kuha, Mete Dibi, Sheila Spence, Steve Clapp, Steve Grossman, and Tim Burley.
I thought about it. Whether or not this takes off depends on quality and ease of use of the products that use it. If a product that doesn't use the protocol is better than one that does. People won't use it. On the other hand, if the music is better than suno, it will. Universal is trying to catch a falling knife. They either succeed or get cut.