Education measured only by efficiency produces students who are excellent at completing tasks mindlessly.
Education measured only by efficiency produces students who are excellent at completing tasks mindlessly.
Y our child’s next teacher could be a machine.
AI tutoring startups are racing into classrooms across the country, promising faster learning, personalized instruction, and perfect efficiency. It’s already happening in places like Alpha School, a much-hyped experiment in Austin, Texas. The pitch is seductive: Students use AI tutors to finish academic instruction in just two hours a day, freeing the rest of the day for projects, play, or entrepreneurship. The school — which will be operating in more than 20 locations across America come this fall — boasts top-percentile test scores and promises children can learn between two and over six times faster with algorithmic guidance replacing traditional instruction.
While the promise of AI-based education is tempting, the consequences will be disastrous. AI educators will dismantle the very purpose of education and undermine a generation of young learners.
As classical schools across the country are showing, students can indeed learn much faster than traditional school models allow, especially when given a richer curriculum and a talented teacher who understands the students well. The problem is not personalized instruction; it’s in the de-personalized instructor.
Compressing education into a machine-driven productivity hack treats learning like an efficiency problem instead of a human one. If a child can race through content with a machine, the machine is doing the real work. What looks like acceleration is often just outsourcing thought. Places like Alpha School aren’t helping students become intellectually independent and morally strong — they’re training them merely to ingest and perform. AI-based teaching treats education as a means to upload information, not promote human formation.
Elon Musk once distilled this dangerous approach to education when he said of AI education, “I think the parents will still be responsible for values and morals. [But] I do think AI will dramatically affect education. . . . It will be like each child has Einstein for a teacher.”
This view splits the human person into two parts: the intellectual on one side, and the moral on the other. But education is not just about transferring facts — it’s about teaching students what is worthy of seeking and rejecting. Every act of learning, even deciding what is worth studying, is a moral act.
We teach kids to read so that they can read something formative and good. We teach them history so that they know what is worthy of remembering, of emulating, and of condemning. We teach them science so that they can understand and appreciate the beauty and order in the natural world — and use that knowledge for the benefit of others.
Teachers should not exist merely to deliver answers. They help form the whole entirety of a student — intellectually, morally, and socially — through a human relationship. Good teachers model reasoning, invite curiosity, and push students through confusion toward insight.
Learning requires adversity: the frustration of not knowing, the discipline of attention, and the joy of discovery earned rather than downloaded. Students rise to this occasion best when there is someone whose respect they want to earn and whose expectations they want to meet.
Likewise, classrooms are where children learn to live with others — to speak, listen, disagree, forgive, and cooperate. Machine-driven, individualized instruction may move faster, but it cannot cultivate character, judgment, or the social intelligence that human teachers can provide.
Even so, AI teachers are merely an extension of the dominant, deficient approach to education today. America’s education system already chases efficiency over formation. Faster outputs, higher test scores, and instant feedback may look like success — but if children can do it all without struggle, guidance, or human connection, they may have more credentials than character, more knowledge than judgment, and more information than wisdom. We’ve seen this before: University enrollment, advanced degrees, and technical certifications have multiplied, yet happiness, fulfillment, and the capacity to think independently have not followed.
Parents, educators, and policymakers now face a stark choice: Will we further surrender our children to efficiency — to screens and algorithms that promise speed but deliver shallow minds and hollow souls? Or will we reclaim education as a human endeavor, one in which students wrestle with ideas, struggle with challenges, and emerge as thinking, moral, and resilient adults?
The answer should be obvious, but the choice is hard because it demands we embrace the traditional and difficult over the new and easy. It demands we once again judge education by the quality of people it produces, not the speed at which it imparts information.
The future of education should not be measured in efficiency or algorithms, but in minds sharpened, characters formed, and souls cultivated. If we hand over our classrooms to machines today, we risk raising a generation that can calculate, prompt, and perform — but cannot judge, choose, or flourish. Only a human can form a human.