Consider the modern advising session. An intelligent system can instantly analyze a student’s academic history and project the most efficient pathway to graduation. But when a student and an advisor sit together, looking at those synthesized data points on a shared screen, the AI’s recommendation is merely the starting point of the conversation. The algorithm can flag a sudden hesitation in a student's enrollment pattern, but it cannot look across the desk, notice a student’s exhausted posture, and gently ask what is happening outside the classroom. It cannot reassure a first-generation college student that their struggles with imposter syndrome are normal, nor can it help them untangle the complex web of personal ambitions and family expectations.