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Tech leaders say AI means less work - their staff say they work up to 90 hours a week
Hraness wrote this summary from a saved copy of the source. Quotations are taken word for word from the source.
gist
Kali Hays tests tech executives’ promise that AI will shorten work by comparing it with conditions inside OpenAI, Anthropic, Meta, and Google. Workers describe 70-to-90-hour weeks, prolonged release sprints, forced transfers, and failures caused by diverted infrastructure. Research adds a broader mechanism: AI expands task scope and verification work, while employers refill any saved time with more output. Productivity gains can therefore intensify work unless institutions deliberately convert them into leisure.
ideas
- Productivity does not allocate saved time. Employers can turn faster work into a broader workload instead of shorter weeks.
- AI creates implementation overhead. Workers must change processes, check model output, and repair failures before any time savings become available.
- Temporary urgency can become the operating model. Multiweek sprints and weekend work make release pressure continuous inside frontier AI efforts.
- AI priorities affect adjacent teams. Reallocating compute and storage can destabilize internal systems and push non-AI engineers into overnight recovery work.
- The evidence has a defined boundary. Anonymous worker accounts and one eight-month company study document mechanisms and experiences, not sector-wide prevalence.
quotes
“You go in on Saturday or Sunday just to catch up or make sure things aren't broken”
“You can't say no – or if you do, you have to quit.”
“even if there were real time savings, it would be sucked up by the changes”
“People assume that 20% less work means four-day weeks”