The education system is fixated on preventing AI-assisted cheating, missing the larger point: AI is making the traditional "test" and its associated skills obsolete. The focus must shift from policing tools to a radical curriculum overhaul that prioritizes durable human skills like ethical judgment and creative problem-solving.
AI has made knowledge—the ability to produce information—cheap and accessible. The new currency is wisdom: knowing what matters, where to focus, and how to find purpose. This shifts the focus of work and education from learning facts to developing critical thinking, empathy, and judgment.
Schools ban AI like ChatGPT fearing it's a tool for cheating, but this is profoundly shortsighted. The quality of an AI's output is entirely dependent on the critical thinking behind the user's input. This makes AI the first truly scalable tool for teaching children how to think critically, a skill far more valuable than memorization.
ASU's president argues that if an AI can answer an assignment, the assignment has failed. The educator's role must evolve to use AI to 'up the game,' forcing students to ask more sophisticated questions, making the quality of the query—not the synthesized answer—the hallmark of learning.
Traditional education focuses on solving well-defined problems, a task increasingly handled by AI. The crucial skill for the next generation is creativity and Socratic dialogue—the ability to ask the right questions and imagine what the future could look like.
AI makes cheating easier, undermining grades as a motivator. More importantly, it enables continuous, nuanced assessment that renders one-off standardized tests obsolete. This forces a necessary shift from a grade-driven to a learning-driven education system.
While cheating is a concern, a more insidious danger is students using AI to bypass deep cognitive engagement. They can produce correct answers without retaining knowledge, creating a cumulative learning deficit that is difficult to detect and remedy.
Instead of policing AI use, a novel strategy is for teachers to show students what AI produces on an assignment and grade it as a 'B-'. This sets a clear baseline, reframing AI as a starting point and challenging students to use human creativity and critical thinking to achieve a higher grade.
Generative AI's appeal highlights a systemic issue in education. When grades—impacting financial aid and job prospects—are tied solely to finished products, students rationally use tools that shortcut the learning process to achieve the desired outcome under immense pressure from other life stressors.
Traditional education systems, with curriculum changes taking five or more years, are fundamentally incompatible with the rapid evolution of AI. Analyst Johan Falk argues that building systemic agility is the most critical and difficult challenge for education leaders.
Analyst Johan Falk argues that focusing on AI for student learning and teacher admin is a distraction. The more critical priorities are teaching students *about* AI and adapting the educational system to its long-term impacts, which are currently neglected.