CONCEPT
Adoption vs Integration
The structural distinction between downloading a tool and changing how you work — the gap where the innovation illusion lives and where the actual labor of technological transition takes place.
Adoption and integration are not the same thing, and conflating them produces the most consistent error in popular AI discourse. Adoption measures who has tried a tool — who has signed up, downloaded the application, sent the first prompt, paid the first subscription. Integration measures who has changed how they work — who has restructured their practice around the tool, made it part of their durable workflow, derived sustained value from it across months and years. ChatGPT reaching fifty million users in two months is an adoption number. It tells you how many people tried something. It does not tell you how many people changed how they work, whether the change was durable, what the tool displaced if anything, or what older practices persisted alongside it.
In The You On AI Field Guide
Edgerton's use-centered framework is, at its core, an insistence that integration matters more than adoption. The historical record shows repeatedly that adoption curves dramatically overstate the actual transformation that