Suno Launches Global Licensing Deal with BMG Ahead of New Music Model
Suno and BMG have announced a global licensing alliance covering BMG's recorded music and publishing repertoire, adding another major rights holder to the emerging commercial framework around generative AI music.
But one detail of the agreement is particularly important: participation is optional.
According to BMG, artists and songwriters who choose to participate will have their rights protected and be compensated for the use of their music. The agreement also settles prior use of participating BMG recordings and publishing works.
That distinction matters because the next phase of AI music isn't simply about whether artificial intelligence can generate music. It's increasingly about who authorized the underlying use, what they authorized and how the resulting economic relationships are recorded.
Suno Is Moving Toward Licensed Participation
The BMG agreement follows Suno's earlier deal with Warner Music Group and comes while Universal Music Group and Sony Music Group remain in litigation with Suno in the United States over allegations involving the use of copyrighted music in training earlier models.
BMG is also participating in the development of Suno's upcoming models, which Suno says are being developed in partnership with the music industry.
Suno CEO Mikey Shulman described the company's vision as a more participatory future for music in which artists and fans can interact in new ways while creating additional revenue opportunities. BMG emphasized creator choice, rights protection and clear economics.
Those ideas — choice, authorization and economic participation — are becoming central to the industry's attempt to build a workable relationship with generative AI.
Opt-In Changes the Relationship
The phrase "opt-in" may be one of the most important parts of this announcement.
There is a major difference between attempting to determine whether copyrighted material was used after an AI system has already consumed or generated something and establishing permission before that relationship occurs.
An opt-in system starts with authorization:
Creator → Work → Rights → Permission → AI Use → Output
That creates the beginning of a provenance chain.
The harder problem is maintaining that chain as potentially millions of inputs, permissions, models and outputs interact.
AI Music Needs More Than a License
A licensing agreement can establish the legal framework between companies. At scale, however, the infrastructure underneath that agreement becomes equally important.
Which artist opted in?
Which recording or composition is covered?
Who controls the relevant rights?
What use was authorized?
Which model was permitted to use it?
Did a particular output derive from or interact with protected material?
Who should participate economically when that output generates value?
Those aren't theoretical questions if AI becomes a normal part of music creation. They're data, identity, rights and provenance problems.
And the volume could become enormous.
Suno says more than 100 million people have used its platform. BMG represents more than 3 million songs and recordings. Connecting systems operating at that scale requires more than contracts sitting in separate databases.
It requires infrastructure capable of preserving the relationships behind the contracts.
Suno Is Also Building More Accountability Into Outputs
The BMG agreement comes alongside several other changes at Suno.
The company recently announced that it will limit subscriber downloads in an effort to make mass-exporting music more difficult for bad actors. Suno has also committed to audio watermarking and fingerprinting technology intended to make AI-generated music easier to identify and help distribution services combat fraud and misuse.
These measures point toward the same broader shift.
AI-generated content increasingly needs to be identifiable.
Inputs increasingly need authorization.
Outputs increasingly need provenance.
And participants increasingly need an accountable relationship to the content moving through the system.
The technology for generating music is advancing rapidly. The infrastructure for proving what happened around that generation now has to catch up.
Where Certifyd Fits
This is where the Suno-BMG story becomes particularly relevant to Certifyd.
Certifyd is not involved in the Suno-BMG agreement. But the problems the agreement is attempting to solve overlap directly with infrastructure Certifyd is being built to support: sovereign creator identity, provenance, rights relationships, permissions, derivatives, clearance and commerce.
In a Certifyd model, the important record isn't simply that an AI company has a licensing agreement with a rights holder.
The network can establish relationships further down the chain.
A creator can establish identity. A work can have provenance. Rights holders can establish their relationship to that work. Permissions can be attached to specific uses. Derivative works can remain connected to originals. Clearances can be approved by the appropriate participants, including through structured voting when multiple stakeholders are involved.
That makes it possible to move from "this catalog is licensed" toward "this specific use is provably authorized."
AI Inputs and Outputs Can Become Part of Provenance
AI also introduces something traditional publishing systems weren't designed to handle particularly well: enormous numbers of relationships between inputs and outputs.
If an authorized work participates in an AI system, that relationship can potentially become part of its provenance rather than disappearing inside the model.
The resulting output can then begin its own provenance record.
Conceptually:
Creator Identity → Original Work → Rights → AI Permission → Model Interaction → Output → Derivative → Commerce
Not every AI output will require every step, and licensing structures will differ. But preserving those relationships creates a much stronger foundation for attribution and commerce than attempting to reconstruct them later.
The Network Doesn't Need Another Gatekeeper
There's another important distinction.
Solving AI licensing doesn't necessarily require creating another central organization responsible for holding every creator's rights and deciding every permission.
Certifyd's network model allows accountable participants to perform the roles they already perform.
Publishers can publish.
Rights managers can manage rights.
Licensors can license.
Creators can create.
AI services can provide AI tools.
Commerce providers can provide commerce.
Each can establish a verifiable relationship to the work and the authority under which it is acting.
The objective is not to replace every participant with Certifyd. It's to make the relationships between those participants provable.
From AI Detection to AI Provenance
The music industry's early response to generative AI understandably focused heavily on detection: identifying AI-generated music, detecting copyrighted material and preventing fraud.
Those tools remain important.
But detection is ultimately asking what happened after the fact.
A provenance system can start earlier:
Who created it? Who owns it? Who authorized its use? What was created from it? Who participated? Who gets paid?
The Suno-BMG agreement suggests the industry is beginning to move in that direction.
BMG artists and songwriters aren't simply being placed into an AI ecosystem automatically. The announced framework emphasizes choice, protection and compensation for those who participate.
That's a significant evolution.
The Real AI Music Opportunity Is Infrastructure
Generative AI may ultimately produce an extraordinary amount of music.
The harder problem may be managing the relationships surrounding all of it.
Millions of creators, millions of works and potentially billions of generated outputs create a rights-management problem that conventional databases and manual clearance workflows were never designed to handle.
The winners in the next phase of music won't necessarily be the companies capable of generating the most content.
They may be the systems capable of establishing who authorized it, where it came from, how it changed and who participates in the value it creates.
Suno and BMG are building a commercial framework around those questions.
Certifyd is building infrastructure capable of making those relationships provable.
Certifyd covers developments in music, AI, intellectual property and creator commerce and examines what they mean for provenance, permissions, rights and the future of creative ownership.