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CommentaryEducation

Gen Z is on the fence about AI in the classroom. That’s a good thing

By
Sophia Romee
Sophia Romee
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By
Sophia Romee
Sophia Romee
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December 18, 2025, 9:05 AM ET
Sophia Romee is the General Manager of the GenAI Studio at the College Board
Sophia Romee is the General Manager of the GenAI Studio at the College Board.courtesy of the College Board

High school students are growing up in the age of generative AI, where typing a few words can produce essays, images, and code that once took hours of effort. Educators fear that misuse of this technology could dull the very cognitive muscles that school is designed to strengthen. But new research suggests something more complicated—and hopeful. 

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According to newly released research, two-thirds of high schoolers agree or strongly agree that using AI too much could make them overly dependent on the technology or less intelligent. This data reinforces how many students feel about AI: they are curious – and cautious. For all the handwringing about an “AI-fueled decline in learning,” teenagers may actually understand the stakes better than adults think. What they want are more guardrails to help them use AI responsibly and fairly, and that’s where schools need to catch up, quick. 

AI use is growing faster than school policies

Between January and May of this year, the percentage of high school students who reported using generative AI tools for schoolwork increased from 79% to 84%, according to College Board’s research. Most students say they use AI for tasks that can complement learning when used thoughtfully, like brainstorming, finding research sources, or polishing their writing.

But too often, students are setting their own rules for AI usage. Nearly one in five district leaders report having no formal AI policies, while more than a quarter let individual teachers decide how to handle it in their classrooms. That patchwork approach has left many educators struggling to keep pace with their students. Leaving AI usage up to teachers’ discretion can make sense, but alarmingly more than 90% of high school principals surveyed said they worry about teacher preparedness regarding AI in education. 

School and district administrators recognize the problem. The vast majority (93%) agree that it’s valuable for students to learn how to use AI tools, 89% of principals surveyed are concerned about AI’s impact on essential learning skills, and 100% are concerned about student academic integrity. The problem is that education systems move slowly, while AI evolves overnight. 

“Teachers will have to be at the forefront of how students use it,” said Gonzalo R. Laverde, a high school teacher at Broward County Public Schools. “We must provide students guardrails, because no student wants to cheat or be dishonest; they want to be seen as intelligent, and they want to be proud of what they produce.”

Educators need guidance, not more AI tools 

For many teachers, AI has created more questions than answers. How do you assess learning when a chatbot can generate perfect prose? How do you teach writing when AI can already write? And perhaps most importantly, what learning still matters most in an AI-powered world? 

Operating within a patchwork of policies without coordinated support, teachers and students nationwide are left to navigate the AI gray area on their own, increasing the risk of misuse, overreliance, and inequitable access to technology. 

Using generative AI to strengthen critical thinking 

AI is here, and more students are using it every day. Here are three principles that can help set healthy boundaries and guide how students and adults alike use it to strengthen critical thinking, not side-step it: 

  1. Know when not to use AI. If everyone in a debate uses the same chatbot to build arguments, the conversation stalls. Students trying to solve a problem or form an opinion should always struggle with ideas themselves before turning to AI. 
  2. Use AI as a thought partner, not the final product. The future of work might demand AI literacy, but not at the cost of future-proof skills like critical thinking and communication. Leverage AI to ask probing questions and challenge your thinking, not replace it.
  3. Learn out loud and together. No one has the playbook on AI yet. Teachers, students, and parents should experiment openly, share what works, and stay transparent about how they’re using AI. 

The most critical skill for the AI era: Discernment

Generative AI can simulate reasoning, but it can’t exercise discernment. That’s the defining line between intelligence and imitation, and it’s one that high schoolers seem to recognize. Despite headlines warning that “AI is destroying a generation of students,” the reality is more nuanced.  

High school students are testing the boundaries of generative AI with open eyes. They understand its benefits and its pitfalls. What they need are adults—teachers, policymakers, and parents—willing to meet them where they are and define clear parameters for how and when they use AI for learning. 

If we fail to reinforce students’ instinct for discernment, we risk dulling the very critical thinking skills AI can’t replicate. But if we nurture it, we might just see the opposite: A generation that learns not only to use AI, but to think beyond it.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

About the Author
By Sophia Romee
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Sophia Romee is the General Manager of the GenAI Studio at the College Board, an incubator accelerating responsible AI experimentation and literacy for educators, students, and employees. Named a Leading Woman in AI by ASU+GSV, she founded the Studio to co-create a future where humans drive generative AI transformation within the educator sector to solve critical challenges in education. Previously, Sophia led research at the Network for Teaching Entrepreneurship, converting evidence-based research into a nationally recognized credential, and co-founded Radical Reset, a social enterprise focused on intentional rest and reflection. She began her career advising NYU’s Dean of Undergraduate College at the business school and later taught data storytelling as an adjunct professor.


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