In recent years, organizations have increasingly invested in artificial intelligence (AI) technologies, yet many continue to struggle with effective implementation. The primary issue is not the technology itself, but rather how businesses manage their knowledge. Companies often treat knowledge as just another form of data, leading to unreliable inputs and outcomes. This misunderstanding has persisted for decades, resulting in a lack of trust in the knowledge that feeds AI systems. As a result, organizations face challenges in coordinating decisions based on inconsistent information. The complexity of knowledge management is evident in the various types of documents that organizations rely on, such as product specifications, support articles, internal procedures, and training materials. These documents often exist across multiple systems, with different owners and inconsistent updates, creating confusion and a lack of clarity. The failure to establish a clear source of authority for these documents contributes to the overall problem, as organizations do not have a 'gold master' that defines their products, services, policies, and procedures consistently. Moreover, the article emphasizes that businesses rarely ask whether the knowledge feeding their AI systems deserves trust. Instead, they focus on the capabilities of the AI models themselves. This oversight can lead to a cycle where larger and more complex AI models simply amplify existing organizational confusion rather than providing clarity and value. The need for ownership, discipline, and trust in knowledge management is crucial for organizations to realize the full potential of AI. In conclusion, the article argues that until businesses prioritize the quality of the knowledge that underpins their AI systems, they will continue to face challenges in achieving successful outcomes. The distinction between data and knowledge must be recognized, and organizations must take steps to ensure that their knowledge is managed with the same care and attention as their data. Only then can AI deliver the value that companies seek.