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HBR-Published UC Berkeley Study Finds AI Is Expanding Workloads, Not Freeing Workers

An eight-month in‑company ethnography finds time saved by AI gets filled with new tasks, raising fatigue and burnout.

Overview

  • Harvard Business Review details an ongoing UC Berkeley ethnography inside a 200-person tech firm over eight months with more than 40 interviews.
  • Researchers report the company did not impose higher targets, yet AI made additional tasks feasible that employees voluntarily absorbed.
  • Time savings were consumed by expanded to-do lists as work encroached on lunch breaks and evenings.
  • Participants described mounting fatigue and professional burnout as expectations for speed and responsiveness grew.
  • The findings align with earlier evidence showing modest gains, including an NBER estimate of about 3% time savings and a test where senior developers spent 19% longer despite feeling 20% faster, with forum anecdotes citing tripled expectations for roughly a 10% output lift.