A growing frustration is emerging within engineering teams: many developers and team leads lack foundational understanding of AI and machine learning concepts, despite being tasked with implementing these systems. Recent community discussions reveal that even senior developers leading AI initiatives struggle to explain basic concepts like how language models function or what artificial intelligence actually encompasses. This knowledge gap represents a significant challenge for organizations attempting to adopt AI-driven solutions, as misunderstanding fundamental principles can lead to poor architectural decisions and unrealistic expectations.