I recently displayed a photo to a 9th grade humanities class and asked what should have been an easy question: 鈥淚s this real?鈥�
The students voted, and half of them believed the image was AI-generated. It was not. It was a photo I had taken at a local Vermont beach.
I tried again, this time with a photo of my cat, Rafiki. The results were even more stark. Almost all the students thought it was an AI-generated image. Nope. It was real, taken in my kitchen.
When we talk about artificial intelligence in schools, we usually focus on cheating and plagiarism. But what I saw that day wasn鈥檛 about academic integrity. It was about trust.
When students can鈥檛 be sure whether a picture of their teacher鈥檚 cat is real, we are facing something much bigger than a student using ChatGPT on a history assignment. We are facing a world where certainty itself feels unstable and school suddenly feels like just another place where students aren鈥檛 sure they can trust the version of reality being offered.
For most of modern schooling, facts might get debated, but we didn鈥檛 question whether they existed. We argued over interpretation and meaning, not whether the basic thing in front of us was real. Our shared reality was the starting point. You could trust your eyes.
Many of us grew up inside that shared reality. I remember the World Book Encyclopedia. If someone had the 鈥淕鈥� volume, you waited your turn before starting your report on Greenland or germs. Once you got the book, you trusted it. Information was scarce, and that book represented a version of the truth we generally agreed on, even when it was flawed and incomplete. It still gave us a shared starting point.
Today, that common floor has dropped out. Our students don鈥檛 have that shared reality. They exist within a digital feed that doesn鈥檛 stop and never seems to agree with itself. This erosion isn鈥檛 new. The internet had already made it easier to question everything and trust nothing before the widespread use of generative AI, but it has accelerated dramatically.
Truth used to feel like something we could find if we searched hard enough, but that鈥檚 not the experience our students are having. In fact, the more they search, the harder it can become to tell fact from fiction. In this new AI landscape, we鈥檙e all sorting through endless versions of reality and deciding which one we鈥檙e willing to live with. It鈥檚 exhausting and it鈥檚 exactly what I saw in my students when they looked at those photos.
This isn鈥檛 just an AI problem. If you can鈥檛 trust an image of a cat in a kitchen, it becomes harder to trust the larger promises society makes about the future. Gen Z financial commentator Kyla Scanlon calls this the 鈥�.鈥� For decades, the path was clear for many of us. You went to school, got a job, and eventually bought a house. But that path has dissolved into the same fog as AI-generated images.
Our students feel this instability everywhere. They are told AI may replace careers before they even start them. They see a housing market that feels permanently closed. They live in what Scanlon calls a 鈥渃asino economy,鈥� where a viral moment can feel more valuable than years of steady work.
The version of learning we鈥檙e offering our students no longer matches the world students are trying to survive. When even a teacher鈥檚 photo doesn鈥檛 feel stable, the old model of school cracks. If students are taught to question every headline and doubt every promise of the future, why would they walk into a classroom and trust us? School can start to feel like just another simulation, a game of compliance disconnected from the physical world they actually have to navigate.
School is too important to be a game. We have to stop asking the small questions. We spend so much time debating whether AI can do a student鈥檚 work, but the students are stuck on much more existential questions. They are trying to figure out if the work still matters, if school still matters, and honestly, if they still matter.
If school is going to mean anything in this world, maybe it鈥檚 time to shift from 鈥渓earning鈥� as a way to prepare for the future to learning as a way to understand and change the present. Students are demanding relevance. We can鈥檛 just hand them information anymore or tell them to trust us that what we鈥檙e teaching them today will matter in the future. We have to give them work that carries real and immediate consequence.
We need students creating things they can touch and solving problems in their own schools and neighborhoods that won鈥檛 get fixed unless they are there to do it. We need them grappling with what it means to be human, what it means to be needed, to be necessary. AI can write a report, but it can鈥檛 stand in the cold Vermont snow to help a neighbor. It can鈥檛 make students feel like they matter. That鈥檚 what will actually make school feel real.
With AI reshaping everything we see, showing our students how we live with uncertainty may be the most honest thing we can do. We have to stop pretending we have the answers and start making our own questions visible. When a source feels unreliable, we should think out loud. We need to model how we weigh evidence and how we decide what actually deserves our trust. No handbook or district policy can do that for us.
Trust is built by showing up for a student day after day. A chatbot can generate a perfect answer, but it can鈥檛 recognize the moment when a teenager finally starts to understand who they are and it can鈥檛 understand what it takes to keep showing up when everything feels uncertain. That is human work, and it is where teachers matter more than ever.
The goal is no longer just to teach the curriculum. The goal is to give students something real.
