In an age where AI can produce passable work, an educator's primary role shifts. Instead of focusing solely on the mechanics of a skill like writing, the more crucial and AI-proof job is to inspire students and convince them of the intrinsic value of learning that skill for themselves.
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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.
Like chess players who still compete despite AI's dominance, humans will continue practicing skills like writing or design even when AI is better. The fear that AI will make human skill obsolete misses the point. The intrinsic motivation comes from the journey of improvement and the act of creation itself.
Former OpenAI scientist Andrej Karpathy posits that once AGI handles most cognitive tasks, education will shift from a professional necessity to a personal pursuit. Similar to how people visit gyms for health and enjoyment despite machines handling heavy labor, learning will become an optional activity for fulfillment.
In the age of AI, the new standard for value is the "GPT Test." If a person's public statements, writing, or ideas could have been generated by a large language model, they will fail to stand out. This places an immense premium on true originality, deep insight, and an authentic voice—the very things AI struggles to replicate.
The term "data labeling" minimizes the complexity of AI training. A better analogy is "raising a child," as the process involves teaching values, creativity, and nuanced judgment. This reframe highlights the deep responsibility of shaping the "objective functions" for future AI.
As AI automates technical and mundane tasks, the economic value of those skills will decrease. The most critical roles will be leaders with high emotional intelligence whose function is to foster culture and manage the human teams that leverage AI. 'Human skills' will become the new premium in the workforce.
The pace of change in AI means even senior leaders must adopt a learner's mindset. Humility is teachability, and teachability is survivability. Successful leaders are willing to learn from junior colleagues, take basic courses, and admit they don't know everything, which is crucial when there is no established blueprint.
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.
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.
Instead of allowing AI to atrophy critical thinking by providing instant answers, leverage its "guided learning" capabilities. These features teach the process of solving a problem rather than just giving the solution, turning AI into a Socratic mentor that can accelerate learning and problem-solving abilities.
