The knowledge layer is essential because it grounds AI systems in the real-world context and relationships needed for trustworthy decision-making. Without it, AI risks producing unreliable or harmful outputs. Evidence from industry and academia shows that knowledge layers improve accuracy and explainability, making AI practical for regulated environments and complex enterprise tasks. The strongest case is that AI’s value depends on the quality and structure of its knowledge foundation, which this layer uniquely provides.