AI Poses Infrastructure Risk to Music Industry

The music industry faces a new test from artificial intelligence, one that challenges its operational infrastructure more than its creative output. According to an op-ed by Jorge Brea, CEO of independent distribution platform Symphonic, published by Music Business Worldwide, the primary risk is that AI makes launching a music company cheap and easy, potentially allowing businesses with polished front ends to bypass essential rights verification and compliance.

Brea places the current moment in a historical context of technological anxiety. He notes that affordable recording gear, production software, and streaming each raised fears of market flooding and quality decline, yet the industry adapted. AI, however, operates at a different scale, potentially driving the cost of track creation near zero and unleashing a volume of music far beyond previous experience. While some AI music will be creative, Brea warns some will exist mainly to exploit systemic weaknesses.

The Real Test is Systemic

The core challenge is whether industry standards can hold as AI simplifies creating both music and music companies. Brea argues that abundance alone is not a crisis; digital platforms thrive with vast content catalogs. The crisis emerges when discovery fails, quality control vanishes, or rules become easy to manipulate. For streaming to withstand the AI wave, the systems managing it must reliably help listeners find music, confirm ownership, pay the right parties, and remove unauthorized content. This responsibility falls heavily on distributors, DSPs, rights administrators, and technology partners.

The Distribution Facade

A significant, under-discussed issue is how AI enables the rapid launch of music companies. Small teams can now build customer tools and polished software experiences that once required substantial resources. While some new ventures will serve artists well, Brea highlights a critical risk: a professional-looking front end can mask a business unprepared for its core responsibilities.

He states that distribution looks deceptively simple from the outside but involves complex, key work beneath the surface. A legitimate distributor must manage rights ownership, platform rules, content verification, payment compliance, takedowns, metadata, royalty processing, and fraud detection. When these elements are weak, a company becomes an entry point for abuse. AI amplifies this threat by equipping bad actors with tools to generate high volumes of music, imitate artists, and test system vulnerabilities rapidly.

Earning Access and Upholding Standards

Brea contends that strong identity verification and account review must become central to distribution. Knowing who delivers the music and controls the rights is basic risk management. Without it, problems are pushed onto platforms and partners. He also calls for DSPs to apply greater scrutiny before granting direct access, arguing that a relationship with a major platform should be earned through operational readiness.

The industry already has companies that have built strong, unglamorous backend systems for compliance, fraud detection, and platform relationships. Brea suggests new businesses should innovate on top of this foundation, focusing on better artist experiences or specialized markets, rather than attempting to rebuild core infrastructure from scratch.

The next phase for the industry, he writes, must shift from simply getting more music onto services to protecting catalogs after upload. This involves collecting accurate pre-release information, asking artists to disclose AI involvement in a platform-readable way, and monitoring for suspicious activity proactively. It also requires sharing knowledge across the industry to prevent bad actors from simply moving between companies.

Brea concludes that the future depends not on the volume of creation but on who handles the music and how rigorously ownership is verified. He supports artistic and entrepreneurial experimentation with AI but stresses the industry must be honest about the difference between launching a product and operating responsibly within a complex rights ecosystem. The final line of the op-ed shows his point: "AI will not break music, but abandoning standards might."