LLMs transcend abstraction layers, prompting "cognitive surrender"

The "magnitude 9 earthquake" of AI orchestration is refactoring the developer's role from a craftsman to a conductor at the cost of deep verification. Wharton's "Thinking—Fast, Slow, and Artificial" study found 79.8% of users follow faulty AI, indicating a dangerous "internalization" of AI judgment as personal mastery. Karpathy's "agentic engineering" model suggests 99% of future development will be orchestration, prioritizing system-level "vibe" over line-by-line implementation. This creates an abstraction paradox where the human ability to audit systems degrades as LLMs handle more logic, leading to "cognitive surrender" where AI outputs are recoded as personal judgment.