The crisis in consulting and the crisis in higher education are usually treated as separate stories. Cultural foresight suggests they are the same one. Both mark a breakdown in how institutions define intelligence, assign legitimacy, and organize work in an AI-saturated economy. Consulting firms are watching AI hollow out layers of labor they once billed as premium. Universities are facing a parallel squeeze as enrollment softens, confidence in the degree bargain erodes, and apprenticeship regains force as a rival path into work. The underlying signals are already visible: routine research, modeling, and slide work are increasingly automated, while college enrollment remains below its earlier peak even as earn-and-learn pathways gain traction. What is failing is not just a pair of business models. It is an older social story about where expertise lives, what authority looks like, and which institutions get to certify it.
That story survived because it linked knowledge to scarcity. Consulting firms sold the ability to structure complexity. Universities sold the credentials that certified who was qualified to do it. Both depended on the same premise: that intelligence was measurable, institutionally housed, and difficult to access without formal gatekeepers. AI has unsettled that arrangement. It has made first-pass synthesis cheaper, exposed how much elite cognitive labor had become routinized, and pushed a more uncomfortable question into daylight. If information is no longer scarce in the way it once was, what exactly are these institutions for?
