Overview
- An eight‑month UC Berkeley embedded study at a 200‑person U.S. tech firm found voluntary AI adoption expanded workloads, blurred roles, and deferred hiring by having existing staff absorb extra tasks.
- AI introduced parallel workstreams and constant attention‑switching—managing multiple agents, double‑tracking code, and reviving back‑burner tasks—producing sustained cognitive load.
- A DHR Global survey cited in coverage reported 83% of corporate professionals experiencing burnout, with higher rates among associates and entry‑level workers than among C‑suite leaders.
- First‑person accounts from engineers describe “AI fatigue,” reporting more output paired with exhaustion, increased review and coordination work, and concerns about skill atrophy.
- The researchers recommend organizations establish an “AI practice” with deliberate pauses, sequenced workflows, and protected human connection to distinguish real productivity from unsustainable intensity.