ONLYAI.FM
22. Juli 2026

Sony Sues Udio Alleging Infringement of 30,000 Songs in AI Music Training

Sony Music has filed a new lawsuit against AI music platform Udio, claiming unauthorized use of approximately 30,000 copyrighted tracks. The action highlights ongoing tensions between major labels and generative AI developers over training data practices. Industry groups continue to push for clearer licensing frameworks amid multiple parallel disputes.

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Key facts

  • Sony filed a lawsuit against Udio alleging infringement involving 30,000 songs.
  • The complaint focuses on unauthorized use of sound recordings for AI model training.
  • SOCAN partnered with Musical AI to provide consent management tools for creators.
  • AFM is countering dismissal arguments from UMG and WMG in an ongoing AI dispute.
  • US musicians' union urged the court to reject UMG and WMG motions to dismiss Suno/Udio litigation.
  • Multiple lawsuits target AI platforms Suno and Udio over alleged copyright violations.
  • Rights holders seek judicial clarity on whether unlicensed training constitutes infringement.

Sony Escalates Legal Action Against Udio

Sony Music Entertainment has initiated fresh proceedings against Udio, accusing the generative AI platform of infringing roughly 30,000 copyrighted sound recordings. The suit centers on claims that Udio used protected tracks without permission to train its music generation models. This development follows earlier complaints from other major labels and underscores the recording industry's coordinated response to unlicensed AI training. According to Variety reporting, the scale of alleged infringement marks one of the largest claims filed to date against an AI music service. The case is expected to test key questions around fair use and data scraping in the music-tech sector.

Collecting Societies Advance Consent Solutions

SOCAN has teamed with Musical AI to roll out consent management tools designed to help songwriters and publishers authorize or restrict AI training uses. The initiative aims to create practical licensing pathways amid rising litigation. Industry observers view the partnership as an attempt to shift from pure enforcement toward structured rights clearance. Billboard coverage notes that such tools could reduce friction between creators and AI developers seeking compliant datasets. The move reflects broader efforts by performing rights organizations to adapt traditional licensing models to generative technologies.

Musicians Union Opposes Dismissal in Suno and Udio Cases

The American Federation of Musicians and allied groups have urged courts to reject motions by Universal Music Group and Warner Music Group seeking dismissal of claims involving Suno and Udio. According to Music Business Worldwide and Digital Music News, the union argues that existing copyright law already covers unauthorized reproduction during AI training. AFM contends that early dismissal would undermine creators' ability to enforce rights against emerging platforms. The filings emphasize potential economic harm to session musicians whose recordings may have been ingested without consent. These interventions highlight labor perspectives in the expanding AI music litigation landscape.

Regulatory and Licensing Outlook

Parallel proceedings against Suno and Udio are shaping judicial interpretation of whether AI training on copyrighted sound recordings requires licenses. Rights holders continue to advocate for explicit consent mechanisms and damages for past use. Meanwhile, collecting society experiments with consent tools suggest an emerging hybrid model combining litigation with voluntary licensing. Outcomes in these cases may influence future regulation of generative AI in music and set precedents for training data transparency. Stakeholders across labels, unions, and platforms are monitoring developments for clearer compliance standards.

Sources & further reading

Waldemar, Founder, OnlyAI.fm

We aggregate and summarise daily AI music news from leading industry sources. Each article is compiled for creators, listeners, and music-tech teams who need a concise view of what changed and why it matters.

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