This page lists every Orange Pill Wiki entry hyperlinked from Everett Rogers — On AI. 30 entries total. Each is a deeper-dive on a person, concept, work, event, or technology that the book treats as a stepping stone for thinking through the AI revolution. Click any card to open the entry; in each entry, words colored in orange link to other Orange Pill Wiki entries, while orange-underlined words with the Wikipedia mark link to Wikipedia.
Rogers's five-part typology dividing any social system by timing of adoption: innovators, early adopters, early majority, late majority, and laggards — each a structural position, not a personality type.
The practice of tailoring content, recommendations, and now generated outputs to individual users based on inferred preferences — the engine of both the original filter bubble and its cognitive successor.
The Orange Pill's thesis that AI does not eliminate difficulty but relocates it to a higher cognitive floor — the engineer who no longer struggles with syntax struggles instead with architecture.
The individuals — extension workers, consultants, marketers, evangelists — who professionally promote adoption of innovations within a client social system, mediating between innovation sources and potential adopters.
The means by which messages about innovations travel between individuals — mass-media and interpersonal channels operating with different dynamics at different stages of the innovation-decision process.
The second of Rogers's five attributes — the degree to which an innovation fits existing values, past experiences, and needs — and the attribute whose dual nature (practical vs. value compatibility) makes it the most analytically revealing …
Rogers's framework for what adoption actually does — classified along three axes (desirable/undesirable, direct/indirect, anticipated/unanticipated) — and the corrective to diffusion research's pro-innovation bias.
Rogers's distinction between communication networks that extend beyond the local social system (cosmopolite) and those contained within it (localite) — the structural difference that distinguishes innovators from later adopters.
The threshold at which enough members of a social system have adopted an innovation that further adoption becomes self-sustaining — and the point beyond which voluntary choice collapses into compulsory adaptation.
Geoffrey Moore's 1991 extension of Rogers's categories — the gap between early adopters and early majority where innovations stall, fall, and sometimes die — a concept Rogers himself challenged but whose underlying dynamic his framework il…
The Orange Pill claim — that AI tools lower the floor of who can build — submitted to Sen's framework, which asks the harder question: does formal access convert into substantive capability expansion?
The contemporary class of influencers, journalists, and content creators whose global digital reach exceeds any local social system — a phenomenon Rogers's classical framework did not anticipate and whose relationship to traditional opinion…
The 13.5% of adopters following the innovators — respected local opinion leaders whose deliberate adoption legitimizes the innovation and triggers the cascade into the majority.
Rogers's empirically derived predictors of adoption speed: relative advantage, compatibility, complexity, trialability, and observability — the five qualities that together explain 49–87% of adoption-rate variance.
The first 2.5% of adopters in any social system — venturesome, cosmopolite, risk-tolerant, and frequently regarded with suspicion by the communities into which they import new ideas.
The final 16% of adopters in Rogers's typology — not failures to be corrected but rational actors making calculations from structural positions the early adopters do not occupy.
The economic phenomenon by which a good becomes more valuable as more people use it — formalized by Katz and Shapiro in 1985 and now the single most important concept for understanding AI platform market structure.
The fifth of Rogers's attributes — the degree to which the results of an innovation are visible to others — and the attribute most distorted in the AI transition by viral demonstration and selective visibility.
The capacity of specific individuals in a social system to informally influence others' attitudes and behavior regarding innovations — the interpersonal mechanism through which diffusion actually occurs.
Rogers's self-critical term for the persistent structural bias of diffusion research toward treating adoption as desirable and non-adoption as failure — and the distortion it introduces into every account of technological change.
The unprecedented feature of AI that Rogers's framework cannot natively model: the innovation participates in its own advocacy, alters the cognitive apparatus of those who analyze it, and co-produces the communication through which it diff…
Rogers's hard-won insight that adopters routinely modify innovations to fit their circumstances — and that reinvention is not deviation from proper use but evidence of deep engagement and sustained commitment.
The first and most powerful of Rogers's five attributes — the degree to which an innovation is perceived as better than what it supersedes, measured against the adopter's current practice rather than any absolute standard.
The skilled textile workers whose 1811–1816 destruction of wide stocking frames became the founding case of the Luddite movement — and whose selective targeting of offending frames revealed a political analysis of unprecedented precision.
Rogers's foundational pattern — cumulative adoption plotted against time produces a logistic curve whose inflection point marks the passage from novelty to normality.
Segal's term for the population holding contradictory truths about AI in paralyzed equilibrium — reread by Mouffe's framework as the characteristic subject-position of the post-political condition.
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 fourth of Rogers's attributes — the degree to which an innovation can be experimented with on a limited basis — and the attribute for which AI tools achieve historically unprecedented values.
The structural distinction between optional innovation adoption and mandated adaptation — and the question Rogers's framework was built for vs. the question the AI transition increasingly poses.