Suno has failed to persuade a US federal judge to dismiss several key claims in a proposed class action over AI music training. Country artist Anthony Justice and his company 5th Wheel Records allege that protected recordings and musical works were used in ways that infringe copyright and violate the Digital Millennium Copyright Act.

Why this case is different from the major-label lawsuits

Suno is already facing litigation from large music companies, but this proposed class action matters because it comes from an individual artist and recording company. If the plaintiffs ultimately succeed in establishing a broader class, the financial and operational consequences could extend well beyond a single catalogue.

The dispute also keeps attention on the same unresolved question at the center of generative music: whether training on copyrighted material without a negotiated license can be defended under existing copyright law.

The DMCA claims are especially important

The Digital Millennium Copyright Act can create separate legal risks from ordinary infringement. Plaintiffs in AI cases have increasingly argued that copyright management information, metadata or other identifying information may have been removed or altered as works entered training pipelines.

Allowing those claims to continue does not mean the court has accepted the plaintiffs’ factual allegations. It does mean Suno did not eliminate them at the dismissal stage.

The legal pressure is becoming more fragmented

For Suno, the challenge is no longer limited to a handful of large industry lawsuits. Publishers, labels, artists and other rights holders are testing different legal routes in different courts. That fragmentation increases uncertainty because one favorable ruling does not automatically resolve the rest.

At the same time, some music companies are negotiating licenses with AI services. The industry is therefore pursuing litigation and commercial agreements in parallel.

What artists should watch next

The next important stages will include discovery, class-certification questions and the evidence used to show what material entered training datasets. Those steps could reveal more about how generative music systems were built and how rights information was handled.

Independent artists should also watch for changes in distributor agreements and publishing contracts. As AI licensing becomes more common, contracts may increasingly specify whether recordings and compositions can be used for model training.

A case that could help define the next licensing market

If courts conclude that broad categories of training require licenses, the music industry could gain a new revenue stream built around AI model development. If courts accept wider fair-use arguments, rightsholders may have less leverage to demand payment for historical training.

That is why procedural rulings like this one matter. They determine which legal questions survive long enough to be tested with evidence.

Source

Bloomberg Law: Suno fails to shake musician’s copyright suit over AI training