How Canada’s largest music rights organization is helping build a future where AI doesn’t just generate music, it recognizes, credits, and compensates the creators behind it.
AI Is Changing Music. But Who Gets Credit?
Artificial Intelligence is rapidly transforming the music industry. From AI-generated songs to intelligent recommendation engines and music creation tools, AI is becoming part of almost every stage of the creative process.
But one critical question continues to divide the industry:
If AI learns from human-created music, who should receive credit—and compensation?
Canada’s largest music rights organization, SOCAN (Society of Composers, Authors and Music Publishers of Canada), believes the answer is simple:
The creators whose work helped shape AI-generated music deserve both recognition and payment.
To move closer to that future, SOCAN has officially announced a strategic partnership with Musical AI, making it one of the first performing rights organizations (PROs) in the world to formally recognize an AI attribution company as an approved technology partner.
This isn’t just another AI partnership.
It could become one of the most important building blocks for how music licensing works in the AI era.
What Is SOCAN?
SOCAN is Canada’s largest member-owned music rights organization.
According to SOCAN, it represents more than 200,000 songwriters, composers, and music publishers, licensing public performances and collecting royalties on behalf of creators.
In 2025, SOCAN generated approximately CAD $587.1 million in revenue, making it one of the world’s most influential performing rights organizations.
For decades, its role has been simple:
* Protect creators’ rights
* Collect royalties
* Ensure music creators are paid whenever their work is used commercially
Now, it is expanding that mission into Artificial Intelligence.
Who Is Musical AI?
Musical AI is a Canadian music technology company specializing in:
* AI rights management
* Consent management
* Attribution technology
* AI licensing infrastructure
Previously known as Somms.ai, the company launched its commercial rights platform in 2024.
Unlike AI music generators, Musical AI doesn’t generate songs.
Instead, it helps answer a far more important question:
How much of an AI-generated song was influenced by existing copyrighted music?
Its technology analyzes AI-generated music and estimates which original recordings and compositions contributed to the output.
Think of it as a fingerprinting system for AI-generated music.
What Makes This Partnership Important?
Most discussions around AI and music have focused on training data.
This partnership focuses on something different:
Attribution.
Instead of simply asking:
“Did AI train on copyrighted music?”
SOCAN and Musical AI are asking:
Which creators influenced this AI-generated song, and how should they be compensated?
This represents a major shift in how the industry approaches AI.
How Musical AI’s Attribution Technology Works
According to Musical AI, its system analyzes AI-generated music and estimates:
* Which sound recordings influenced the output
* Which underlying musical compositions contributed
* The approximate percentage each creator contributed
The result is an attribution report that can support:
* Licensing
* Royalty distribution
* Rights management
* Creator transparency
The company compares this process to a split sheet used by songwriters and producers.
Instead of manually deciding ownership percentages, AI attribution estimates how much creative influence came from existing copyrighted works.
SOCAN’s Two Core Principles
SOCAN says its AI strategy is built around two fundamental ideas.
1. Consent First
Creators should decide whether their music can be used to train AI.
AI companies shouldn’t assume permission simply because music exists online.
SOCAN supports an opt-in model, where creators actively choose whether their work becomes part of AI datasets.
2. Attribution and Compensation
If AI uses creators’ work to generate new outputs, those creators should:
* Receive attribution
* Be compensated fairly
Jennifer Brown, CEO of SOCAN, explained:
“As AI reshapes the music industry, music creators must have transparency, credit and fair compensation.”
Why This Is Bigger Than Canada
The partnership could influence AI licensing worldwide.
Today, most AI licensing discussions revolve around:
* Copyright lawsuits
* Training data
* Fair use
* Licensing deals
Very few organizations have developed practical systems for answering:
Who actually influenced an AI-generated song?
Without attribution, royalty distribution becomes nearly impossible.
Musical AI is attempting to solve exactly that problem.
The Industry Is Already Moving Toward Licensed AI
The announcement comes during a period of major AI licensing developments.
Over the past two years:
* Warner Music Group reached a licensing agreement with Suno.
* Universal Music Group entered a licensing deal with Udio.
* Sony Music continues pursuing copyright litigation against AI music companies.
Meanwhile:
* Denmark’s Koda
* Germany’s GEMA
* Multiple publishers
* Performing rights organizations
continue pushing for stronger creator protections.
SOCAN’s latest partnership shows that rights organizations are now focusing not only on licensing—but also on building infrastructure that makes AI attribution technically possible.
Canada’s Growing Leadership in Responsible AI
SOCAN has been actively working with the Canadian government on AI policy.
The organization says it previously mobilized more than 8,700 letters urging policymakers to reject any legal exceptions that would allow copyrighted music to be used for AI training without permission.
SOCAN CEO Jennifer Brown has also met with Canadian Prime Minister Mark Carney to discuss protecting human creativity in the age of AI.
Canada’s Minister of Artificial Intelligence and Digital Innovation, Evan Solomon, welcomed the partnership, calling it an example of responsible Canadian innovation that protects creators while supporting technological progress.
What This Means for Independent Artists
For independent musicians, producers, and composers, this partnership sends an important message.
The conversation around AI is evolving.
Instead of asking whether AI should exist, the industry is now asking:
* How should creators give consent?
* How should influence be measured?
* How should royalties be distributed?
* How can attribution become transparent?
Those questions directly affect independent creators, not just major labels.
If standardized attribution systems become widely adopted, independent musicians may eventually receive recognition, and potentially compensation, when their music contributes to AI-generated works.
What This Means for Beat Makers and Producers
Beat producers are increasingly licensing music online.
As AI music generation grows, attribution technology could become just as important for producers as traditional copyright registration.
Future licensing systems may need to answer questions such as:
* Was this beat used to train AI?
* Did this melody influence an AI output?
* Which producer should receive credit?
* How should royalties be shared?
The infrastructure being built today may define how producers protect their work tomorrow.
Beat22’s Perspective
At Beat22, we believe AI should help creators discover music, not replace the people who create it.
As an AI-powered marketplace for original, licensable beats, we see AI as a tool that can improve discovery, streamline workflows, and connect artists with the right music faster.
But innovation must be built on creator consent, transparency, and fair compensation.
The partnership between SOCAN and Musical AI is an important step toward a future where AI and human creativity can coexist responsibly.
Because the future of music isn’t just about smarter AI.
It’s about making sure the people behind the music continue to receive the credit, control, and compensation they deserve.
