The End of Pretend: Reimagining Education in the Era of AI and "Nested Learning"
As we enter early 2026, the conversation surrounding Artificial Intelligence in education has shifted from "how to integrate tools" to a fundamental debate over the relevance of the industrial school model . This post synthesizes recent insights from global thought leaders, highlighting a critical tension: while AI offers revolutionary potential for dialogue-based assessment , personalized tutoring, and "Learning in the Flow of Work" (LITFOW), it also threatens a quiet colonization by Big Tech that could distance educators from pedagogical decision-making. We explore emerging technical paradigms—such as Nested Learning for continual machine growth—alongside the urgent need for universities to break disciplinary silos and abandon "scarcity-based" models of education. From the governance of micro-credentials to the use of generative models like Nano Banana for active learning, the evidence suggests that "Box 1" (adding AI to old curricula) is n...
