Ontological inferiority syndrome of AI

Artificial intelligence is widely described as a new form, tool, and potential of cognition. The purpose of this paper is to demonstrate that this characterization is conceptually flawed. Current AI systems are incapable of generating knowledge; they redistribute information. Knowledge remains a product and attribute of consciousness, not probabilistic computation. The goal of this paper is to demonstrate that AI functions as a distributed interpretive mechanism operating within an inherited ontological deficiency. It reorganizes data without appropriate stratification and lacks a formal representation of levels of systemic organization. As a result, its output simulates coherence while remaining structurally reductionist. This condition represents a systemic constraint. This paper analyzes the epistemological consequences of conflating information processing with intelligence and proposes a systemic information framework capable of introducing ontological hierarchy and ultimate causality into cognitive architectures.