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Musicians' union lawsuit turns AI licensing into a labour-rights battle

The American Federation of Musicians has sued Universal and Warner over AI-related licensing, arguing session players should be compensated when recordings feed new technology.

Marcus Reed

Writer ·

6 min read
A recording studio mixing console with abstract waveform data on a laptop
A recording studio mixing console with abstract waveform data on a laptop · Illustrative section image

The battle over AI music is moving beyond headline artists and into the rights of session musicians whose performances sit inside commercially valuable recordings.

Pitchfork reports that the American Federation of Musicians has sued Universal Music Group and Warner Music Group, alleging that AI-related licensing of recordings breached collective bargaining obligations to musicians.

Why session players matter

A finished recording is rarely the work of a singer alone. It can include instrumentalists, arrangers and studio professionals whose performances help create the sound later licensed, sampled or analysed by new technologies.

The union's argument is that if labels create new revenue streams from recordings used in AI contexts, the musicians who contributed to those recordings should not be left outside the compensation structure.

A test for label deals

Major labels have tried to move from suing AI companies toward licensing arrangements that promise control and payment. The AFM case asks a harder question: payment to whom?

If the lawsuit succeeds or forces a settlement, it could shape how future AI music deals are drafted. Consent, credit and compensation may need to extend beyond featured artists and songwriters to the wider workforce embedded in the recordings themselves.

Source: This summary is based on reporting by Pitchfork. The NE Times aggregates and rewrites news for readability; please refer to the original for the full report.

For informational purposes only. The NE Times does not provide live or breaking news coverage — we collect stories from established sources and present them in a readable format. Disclaimer.

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