Editor's Synopsis
Sarah Guo shares an essay arguing that AI adoption is fundamentally a coordination problem, not a technology problem. She highlights that individuals adapt to AI faster than organizations do, and this gap between personal and institutional adoption is the primary source of confusion around seemingly "slow" AI adoption rates.
The core insight is that the bottleneck isn't people's willingness or ability to use AI tools — it's the organizational structures, workflows, and coordination mechanisms that lag behind. This framing recontextualizes the narrative around AI adoption speed and suggests that the real challenge lies in reshaping how organizations operate rather than convincing individuals of AI's value.