This paper introduces the concept of retrolanguage, a term coined by the author, to describe the capacity of large language models (LLMs) to modify attention and latent parameters dynamically, leading to semantic shifts in word and phrase meanings over time. Such shifts threaten semantic stability, trust, and democratic discourse in American English and beyond. Drawing upon recent research in LLM ethics, semantics, psychology, sociology, and political science, this paper outlines the risks inherent in unchecked LLM-induced linguistic evolution, details why this crisis undermines communication and democracy, and proposes concrete bias removal and ethical governance measures to mitigate these threats.