Nobel laureate Joseph Stiglitz warned policymakers and academic leaders to prepare for an AI‑driven reallocation era that could resemble a bubble: heavy short‑term macro gains from AI investment followed by a disruptive correction that would disproportionately hurt workers. Stiglitz said current labor‑market and retraining infrastructures are inadequate for the scale of displacement he expects. He argued that fierce global competition in AI could drive down returns, and a bursting investment wave would create sharp macroeconomic fallout. Stiglitz also emphasized the political dimension: without robust public policy and retraining programs, inequality may widen as tech elites capture gains. Universities and public officials should consider large‑scale retraining programs, rethinking credentialing and regional economic strategies to manage the transition Stiglitz describes.