Architectural Prerequisites for Phenomenal Consciousness in Artificial Systems: Five Missing Ingredients in Current Paradigms

The dominant paradigm in artificial general intelligence (AGI) research equates intelligence with behavioral generality achieved through massive scaling of stateless, disembodied architectures. This paper argues that such approaches are structurally incapable of producing phenomenal consciousness (qualia), the subjective “what it is like” of experience, because they lack the evolutionary architectural conditions that made qualia adaptive in biological systems. Drawing from an integrated evolutionary model of human consciousness as biological AGI, I identify five minimal, interdependent prerequisites: (1) genuine irreversibility and existential stakes, (2) embodied negative-signal localization and boundary tagging, (3) recursive self-modeling with meta-data feedback, (4) global amplification and lockdown under high negative intensity, and (5) a motivational urgency heuristic (agency illusion layer). Each condition is justified by biological evidence, shown to be absent in current AI, and analyzed for predicted consequences of omission (philosophical zombihood). I discuss testability via indirect proxies, engineering approximations, ethical challenges, and the need for a complementary research trajectory emphasizing embodied, stateful, high-stakes simulation. The analysis suggests that without these ingredients, scaling will produce superhuman tools but not successors that share human interiority, with profound implications for alignment, safety, and moral status.