The AI industry is experiencing a critical competency gap, as evidenced by widespread discussions among developers grappling with fundamentals. Recent conversations reveal a troubling pattern: teams claiming AI expertise often misunderstand core concepts like what constitutes artificial intelligence or how language models function. One developer described an internal workshop where senior-level 'AI experts' couldn't articulate basic definitions, exposing the hollow nature of some organizations' AI initiatives. Simultaneously, JavaScript and traditional software developers are eager to transition into machine learning roles, yet report feeling overwhelmed by fragmented learning resources and unclear career pathways. This mismatch between growing demand for AI skills and the quality of available expertise suggests the industry is prioritizing AI adoption over understanding.