Recent discussions within developer communities have exposed a significant skills gap in AI adoption. Engineers report frustration with internal 'AI experts' who lack basic understanding of how language models actually function, let alone the broader field of artificial intelligence. This gap is not isolated—JavaScript developers and others attempting to pivot into AI find themselves overwhelmed by fragmented learning resources, with little clarity on where to start or what fundamentals matter most. The disconnect suggests that rapid LLM adoption has outpaced genuine technical literacy, creating teams that can implement models without understanding their limitations or proper usage patterns.