Leopold Aschenbrenner’s “Situational Awareness” (2024) argues that Artificial General Intelligence is approaching rapidly and that institutions must prepare for its arrival. This paper accepts Aschenbrenner’s urgency but rejects his framing. Using the Adaptive Compression Advantage Theory (ACAT; Murata, 2026), I demonstrate that “AGI”—defined as artificial intelligence matching or exceeding human-level general cognition—is an incoherent concept, because the human cognition it benchmarks against is itself misconceived. Intelligence is not a scalar quantity that machines gradually approach; it is a multidimensional compression-efficiency vector α(d) that varies across domains. There is no single threshold to cross. What is actually happening—and what requires genuine situational awareness—is a compression architecture transition: from biological compression monopoly to hybrid biological-artificial compression ecosystems. This transition has no endpoint called “AGI.” It is a continuous, accelerating transformation of how information is compressed, by whom, and for what purpose. The real question is not “when will AGI arrive?” but “what compression architecture will dominate, and who will design it?” Keywords: AGI, ACAT, compression, situational awareness, intelligence, human-AI symbiosis, compression architecture