Andrew Wrobel argues that before fully integrating Artificial Intelligence (AI) into schools, educational institutions must first clarify their objectives. He cautions against the vague goal of being merely “AI-ready,” suggesting this phrase can lead to treating readiness as a simple procurement issue—buying tools and updating policies. Wrobel expresses concern that education is discussing AI with excessive confidence regarding a technology that is not yet fully understood.
While acknowledging the value of reports like the World Economic Forum’s, which focus on responsible adoption, Wrobel raises a more fundamental question: whether we adequately understand human intelligence to redesign education around AI. He notes that the long-term effects of routine AI use on core cognitive functions—such as attention, memory, and originality—remain unclear. He warns that AI presents a new interface for old educational temptations, such as rewarding neat answers over complex reasoning.
The larger concern, he contends, is teaching students to equate fluency with genuine thought. Wrobel stresses the critical distinction between AI and Human Intelligence (HI), noting that while AI can process and generate, HI possesses capacities like caring, doubting, and taking responsibility. Citing research emphasizing communication, problem-solving, and creative thinking, Wrobel argues these skills must be treated as core curriculum elements, not mere extras.
The truly future-ready school, he concludes, will not be the most automated, but rather the one disciplined enough to discern where AI assists, where it harms, and where its use must be withheld, ensuring students remain human-ready before becoming AI-ready.
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