The challenge with this way of thinking is what handicaps a lot of cultures education systems - they teach how to find the answer to a question - but that’s not where the true value lies. The true value comes from learning how to ask the right question. This is becoming even more true faster and faster as AI becomes better at answering questions of various sorts and using external tools to answer what its weak at (optimizations, math, logic, etc).

You don’t learn how to ask the right questions by just having facts at your fingertips. You need to have lots of explorations of what questions can be asked and how they are approached. This is why when you explore the history of discovery humanist societies tend to dominate the most advanced discoveries. Mechanical and rote practical focus yields advances of a pragmatic sort limited to what questions have been asked to date.

Removing arts, culture, philosophy (and its cousin politics) from assistive technologies will certainly help churn out people who will know answers, but answers the machines know better. But will not produce people who will ask questions never asked before - and the easy part of answering those questions will be accelerated with these new machines that are good at answering questions. Such questions often lie at the intersection of arts, culture, philosophy, and science - which is why Liebnitz, Newton, Aristotle, et al were polyglots across many fields asking questions never yet dreamed of as a result of the synthesis across disciplines.