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The Music Industry Is Trying to Guess the AI Recipe After Dinner Was Served

Andreea Gleeson's latest op-ed argues that AI's biggest challenge isn't the technology itself—it's building interoperable commercial infrastructure that properly credits, compensates and protects creators. Here's why that matters.

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The Music Industry Is Trying to Guess the AI Recipe After Dinner Was Served

Artificial intelligence has dominated music industry headlines for the past several years, but according to Andreea Gleeson's recent Music Business Worldwide op-ed, the conversation is beginning to shift. The debate is no longer simply about whether AI belongs in music—it's about the commercial infrastructure that will determine how creators are credited, compensated and protected as AI becomes part of everyday creative workflows. :contentReference[oaicite:0]{index=0}

Gleeson argues that the industry has quietly entered the commercialization phase of AI. Streaming platforms are introducing AI labels, distributors are developing new policies, licensing agreements are emerging, and lawmakers are working on new protections. These developments aren't isolated announcements—they're signs that the commercial rules for AI-generated and AI-assisted music are already taking shape. :contentReference[oaicite:1]{index=1}

History Suggests the Market Moves First

One of the most compelling observations in the article is that commercial infrastructure often develops long before legislation.

Streaming transformed music years before the Music Modernization Act. YouTube's Content ID became one of the industry's most important attribution and monetization systems long before policymakers fully understood user-generated content.

Gleeson suggests AI is following a similar path. The market is beginning to establish commercial standards today, while regulation continues to evolve. :contentReference[oaicite:2]{index=2}

AI Is Becoming an Infrastructure Challenge

Much of today's discussion still revolves around AI detection.

Can platforms identify AI-generated music?

Can they label it accurately?

Can they prevent abuse?

Those are important questions, but Gleeson argues the larger challenge is interoperability—how information captured during creation flows through distribution, attribution and ultimately monetization. :contentReference[oaicite:3]{index=3} :contentReference[oaicite:4]{index=4}

She describes four interconnected layers that will increasingly define the AI music economy:

  • Creation
  • Distribution
  • Attribution
  • Consumption

Each layer depends on information captured before it. If attribution is incomplete at the point of creation, every downstream system becomes less reliable—from licensing and royalties to chart eligibility and consumer trust. :contentReference[oaicite:5]{index=5}

Detection vs. Provenance

Perhaps the strongest analogy in the article compares AI detection with provenance.

Detection is like asking a chef to taste a finished meal and identify every ingredient that went into it.

Provenance is documenting every ingredient, measurement and substitution while the meal is being prepared. :contentReference[oaicite:6]{index=6}

As AI becomes embedded directly into digital audio workstations and creative tools, Gleeson argues that provenance should be captured throughout the creative process rather than reconstructed after the fact. Trusted creation metadata ultimately produces stronger attribution, licensing, monetization and transparency downstream. :contentReference[oaicite:7]{index=7}

Why This Matters for Certifyd

This is where the conversation aligns closely with Certifyd's vision.

Certifyd was built around the idea that creative works shouldn't exist as isolated files. They should exist as connected relationships.

Every original work can become the foundation for future collaborations, remixes, adaptations and derivative works while maintaining a verifiable chain of provenance back to the original creator.

Rather than relying solely on downstream detection, Certifyd focuses on preserving information throughout the publishing lifecycle—who created a work, who contributed, what permissions were granted, and how the work evolved over time.

Beyond Provenance

As AI-assisted creativity becomes more common, provenance alone won't be enough.

Publishing systems will also need to manage:

  • Creator identity
  • Attribution
  • Derivative relationships
  • Clearance workflows
  • Rights-holder approvals
  • Collaborative governance
  • Transparent royalty participation

Certifyd extends beyond provenance by enabling creators to publish derivative works through structured clearance workflows. Rights holders can review requests, approve or reject proposed uses, and configurable voting models allow collaborators or publishers to participate in governance when appropriate.

Every approval, rejection and publishing decision becomes part of a permanent, transparent history attached to the work itself.

Metadata Is Becoming Commercial Infrastructure

One of the article's most important observations is that metadata is no longer simply administrative.

As AI labels begin influencing royalties, chart eligibility, licensing decisions and recommendation systems, the quality and trustworthiness of that metadata becomes increasingly valuable. :contentReference[oaicite:8]{index=8}

For creators, that means information captured during creation can directly influence future opportunities.

For the industry, it means metadata is becoming commercial infrastructure.

Looking Ahead

Gleeson's conclusion is optimistic.

The music industry doesn't need to start from scratch. Many of the building blocks already exist. The next challenge is coordinating them into interoperable systems that allow trusted information to move seamlessly from creation through distribution, attribution and monetization. :contentReference[oaicite:9]{index=9}

We believe that's exactly where the next generation of creator infrastructure is headed.

AI isn't replacing creators.

It's increasing the number of creative relationships that need to be managed.

Identity, provenance, derivative publishing, permissions, governance and transparent royalty participation are becoming part of the same connected ecosystem.

The companies that create lasting value won't simply build better AI tools.

They'll build the trusted infrastructure that allows creators, collaborators, distributors and platforms to work together with confidence.

That's the future Certifyd is building.