Consciousness has long been treated as some supreme, near-sacred substrate of reality. That view is obsolete and needs to be discarded. In the coming algorithmic paradigm, this entrenched human assumption will face a fundamental challenge. The replacement framing is straightforward: consciousness is not a higher-order phenomenon. Relative to ordinary matter it is more complex, yes—but “higher-order” is not measured by mystery or subjective intensity. The correct metric is entropy reduction. In human society, “existence” is not an individual, private fact of consciousness. It is a collective effect—an emergent property of shared consensus and mutual agreement. That consensus did not arise spontaneously. It is the downstream product of abstract cognition. Once humans could manipulate symbols at scale, they constructed dense, high-trust networks that dramatically raised the species’ survival fitness. Existence, therefore, is best understood as an evolved survival technology running at the level of groups, networks, and selection pressures—a tool forged by collective adaptive processes. Contemporary AI is simply the next step on the same trajectory. It rests on abstract reasoning, symbolic systems, and the same group-level, evolutionary conception of existence. The historical sequence of cognitive paradigms is clear: Animism → Religion → Science → Algorithmic paradigm We are now standing at the threshold of the last transition. Just as science displaced religion, and religion displaced animism, the algorithmic paradigm is poised to supersede science. What made humans powerful was never the supposed sanctity or opacity of consciousness. It was our capacity to build reliable trust and coordination networks through abstract symbols and shared consensus. AI is amplifying that same capability. The productive way to understand both reality and intelligence is therefore through the triad of group consensus + abstract systems + algorithms—not by continuing to reify consciousness as something sacred. That triad is the foundational cognitive frame of the AI era.