AI music can be traced, but paying artists is the harder problem

Neutune says its tools can identify source material in AI-generated music and measure how different recordings contributed. The harder part, according to its CEO, is securing rights-holder consent and agreeing how those contributions should be licensed and paid for.

Watch Desk analysis

What happened

Neutune’s Music DNA scans new music for material drawn from existing works. The company says it divides tracks into instrument and song-section blocks, such as bass, drums, intros and verses, to help measure individual contributions. Its MixAudio platform provides attribution for AI remixes.

In an interview with The Korea Times, CEO Lee Jong-pil proposed opt-in or blanket licensing for AI-assisted music. The report says Korea’s music copyright association introduced standards for registering AI-assisted songs in August, then withdrew them 22 days later. Lee also described a possible K-pop remix market where fans could use artists’ work and share revenue.

Why it matters

Tracing a musical source is not the same as clearing its use or deciding who gets paid. More detailed attribution could give rights-holders and AI music services a basis for licensing, but it does not settle consent, royalty rates or how a contribution should count. Those are the less glamorous parts of the pipeline, and rather important if anyone expects the money to reach musicians.

The interview also points to a distinction worth keeping: Neutune’s account concerns identifying and measuring source material, while the licensing framework Lee wants is still unresolved. The Korea Times reports that platforms in Korea do not ask distributors whether AI was used, adding another gap between making a track and recording how it was made.

Our read

This is a practical attempt to make AI music’s borrowing more legible. That could help negotiations, but attribution software cannot grant permission on its own or write a fair royalty rule. The useful test is whether the technology leads to workable agreements and payments, not simply a more detailed map of what went into a track.

What to watch

• Whether Neutune’s tools are adopted in licensing or royalty processes.
• Whether rights-holders and AI music companies agree on opt-in or blanket licensing.
• Whether Korea’s withdrawn registration standards are replaced, and how AI use is recorded.

Discussion spark: If AI tools can identify and measure the music behind a generated track, should that be enough to trigger payment, or should artists’ explicit consent come first?

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.