The prevailing assumption in quantum computing, that quantum effects require near-absolute-zero temperatures to be computationally useful, rests on an engineering convenience, not a physical law. Biological systems routinely exploit quantum coherence at 310 °K (human body temperature), as demonstrated by photosynthetic energy transfer, avian magnetoreception, and enzyme catalysis. This paper argues that these biological precedents point to an unexplored class of room-temperature quantum architectures that could fundamentally transform artificial intelligence. Room-temperature quantum computing is not merely possible; it may be the only path to artificial general intelligence that captures the genuine computational richness of biological cognition. The current consensus, while defensible given gate-model limitations, mistakes one frozen form of quantum computing for all possible forms. Life shows us a different way: not isolating from noise, but structuring it into a computational ally. This roadmap presents: (1) the physical basis for room-temperature quantum coherence; (2) four candidate hardware architectures; (3) a five-phase research agenda spanning 2025-2040; (4) the theoretical foundations that explain why a warm quantum observer might be invisible to its own formalism; and (5) investment and policy recommendations. Throughout, we maintain a rigorous, skeptical stance: no appeals
Nestor Ramos (Sun,) studied this question.