Persistence of the Old

In the AI Story

Edgerton's documentation of the pattern is exhaustive. There were more horses in the United States in 1928 than in 1888, two decades after Henry Ford's Model T entered production. Sailing ships moved more cargo in 1900 than in 1800, decades after the steamship was supposed to have rendered them obsolete. The bullock cart remained the primary mode of goods transport in India into the 1970s. Manuscript production continued in Europe for centuries after Gutenberg. In each case, the persistence is not a failure of adoption — it is the rational response of a complex system to a partial improvement.

Applied to artificial intelligence, the pattern generates an uncomfortable prediction. The AI tools that Edo Segal celebrates in The Orange Pill will not replace existing practices on the timeline the innovation narrative suggests. They will be added to an existing ecology of tools, practices, institutions, and habits that is far more durable than any frontier demonstration can reveal. The senior software engineer who learned assembly language thirty years ago still thinks in patterns shaped by that training, even when working with Claude Code. The organizations that adopted AI tools in 2025 still operate within bureaucratic structures designed for an entirely different technological paradigm.

The persistence is often rational, not merely inertial. The doctor who continues to rely on physical examination alongside AI-assisted diagnostics is not being conservative for its own sake — she is responding to the actual reliability profile of the new tool, which remains imperfect, context-dependent, and occasionally wrong in ways her embodied clinical judgment can catch. The teacher who continues to assign handwritten essays is responding to the actual pedagogical value of the handwriting process, which serves educational purposes that AI-assisted writing does not. These are practical judgments by people whose accumulated experience gives them information no innovation narrative contains.

The pattern has implications for how the AI transition will actually unfold. Spreadsheets will coexist with AI assistants. Phone calls will coexist with chatbots. Specialist silos will coexist with cross-functional pods. Older programming languages will persist alongside AI-generated code. The Death Cross that Segal describes in Chapter 19 of The Orange Pill will not produce the wholesale replacement of SaaS by AI; it will produce a new layer of the technology stack that coexists with everything that came before.

Origin

The pattern was visible in Edgerton's earliest work on British industrial and military history, where he repeatedly found that supposedly obsolete technologies remained in productive use long after their obituaries had been written. The systematic articulation came in The Shock of the Old, where the persistence of the old became one of the book's organizing arguments.

Key Ideas

Coexistence is the rule. New technologies almost never replace old ones cleanly; they accumulate alongside them, often for generations.

Embedding produces durability. Old technologies persist because they are embedded in systems of practice, infrastructure, and expertise that are larger than the technology itself.

Persistence is often rational. The continued use of older technologies is not a failure of adaptation but an empirically grounded response to the actual reliability and contextual fit of available alternatives.

The displacement narrative is wrong about the timeline. Even when displacement eventually occurs, it takes decades — not the seasons or years that innovation narratives predict.