Between a small mid-2025 seed cluster and a rapid January to March 2026 propagation phase, the phrase “execution boundary” moved from isolated usage into a recurring frame within visible AI governance discourse on LinkedIn and adjacent platforms. The spread was accompanied by recognisable high-fluency propagation patterns: declarative binary framings, runtime-versus-policy contrasts, affiliation hashtags, and the presentation of recently propagated language as if it were already established vocabulary. We treat these patterns as propagation indicators, not authorship indicators. We document the chronology empirically and identify one direct instance in which ChatGPT recommended #ExecutionBoundary as a discourse-positioning tag, describing it as “a wildcard to own.” We further observe that the verified academic record on the term trails the verified public-discourse record by approximately six months, inverting the standard direction of vocabulary transfer between research and professional networks.The case matters because the discourse appears to reproduce the very failure modes AI governance claims to address. We treat the model-generated catalogue used in our analysis not as authority but as a research artefact whose recursive applicability can be compared against observed discourse behaviour, adjacent academic literature, and direct corpus patterns. An AI system asked to enumerate hidden deployment failures produced a catalogue that also describes the discourse itself: verification collapse, authority laundering, fluent substitution for evidence, and the absence of an independent witness. The system documented its own pathology, and that documentation was absorbed into the same pathology. We call this the Möbius structure: an AI-mediated discourse identifies a governance failure mode, absorbs that identification as further discourse material, and reproduces the same failure mode through uncited repetition, authority laundering, and verification collapse. The contribution of the paper is not that “execution boundary” is invalid terminology. It is that the manner of its propagation exposes a structural weakness in AI governance discourse: vocabulary can acquire authority through AI-mediated repetition before the field has established provenance, verification, or accountable authorship
Barry et al. (Mon,) studied this question.