CONCEPT
The Temporal Compression Problem
The gap Rogers's framework cannot bridge: his sequential model of adoption assumes timescales that allow social adaptation, but the AI transition collapses the stages into near-simultaneity.
The temporal compression problem identifies the most significant limit Rogers's framework encounters in the AI transition. His five-stage innovation-decision model assumes timescales that permit sequential processing: knowledge precedes persuasion, persuasion precedes decision, decision precedes implementation, implementation precedes confirmation. Each stage has its own dynamics, communication requirements, and characteristic challenges. The AI transition compresses these stages to near-simultaneity — the trial that produces knowledge also produces persuasion, and implementation begins as experimentation and becomes commitment before evaluation is complete. The framework's sequential logic breaks down, replaced by turbulence its architecture was not designed to model.
In The You On AI Field Guide
Rogers's empirical work spanned innovations whose diffusion took years to decades. Hybrid corn: 14 years to 90% adoption. Contraceptive methods in developing nations: 10–20 years. Educational television: 15 years. These timescales allowed social systems to adapt — norms to evolve, institutions to adjust, training programs to develop, regulatory frameworks to emerge.
The AI transition compresses comparable trajectories into months. ChatGPT reached 50