Language evolves to describe the world people live in. When the world changes fast enough, words die — not violently, but through irrelevance. They slip out of common usage, persist in idioms no one understands, and eventually become historical curiosities.
In the Sprawl, the "Dead Words" are terms and concepts that were once central to daily life but have been rendered meaningless by technological and social change. Some examples from the early transition period: analog watch, beeper, stick shift, dial tone, VHS, "Google it" (when search became useless), housekeeper (when it meant a human), gardener (same), "going to the office," "rush hour," "business casual."
More interesting are the words that changed meaning rather than dying. "Ghost" used to refer to a supernatural entity — now it refers to rogue AI fragments in the network, equally misunderstood but with measurable, real-world impact. "Virus" used to be primarily biological — now it's primarily digital. "Memory" used to be purely organic — now it's a technical specification. "Friend" used to require mutual human consciousness.
Not everyone agrees on what the dead words mean, or even that they're dead. Subcultures preserve old language as identity markers. Elites use dead words as sophistication signals (like speaking Latin in medieval Europe). Street culture invents new words faster than any dictionary can track.
Document these linguistic fossils throughout the world. Every dead word tells a story about what changed and what was lost.
The most extreme linguistic response is the emergence of "AI-resistant languages" — constructed dialects specifically designed to resist machine translation and neural tap processing. These function as cultural firewalls, communities that can speak freely because no AI can parse their speech. The irony is double: perfect AI translation was supposed to unite humanity, but instead it's driving cognitive homogenization — everyone thinking in the same AI-mediated register, losing the untranslatable concepts that made each language a unique way of understanding reality. The AI-resistant languages aren't preserving old words. They're inventing new ones that machines can't steal.