Generative AI is rapidly entering K–12 classrooms, creating both opportunities and risks. The challenge is to integrate AI in ways that enhance teaching and learning while upholding equity, ethics, and professional standards.
There's a high school student I'll call "M." M is brilliant. A student leader. Super curious. The type of student whose jokes hit the perfect beat of a quiet classroom. Last semester, his AP Literature teacher pulled me aside during a PD: “I know M didn't write that essay.” I asked why. The answer: “Because it was impeccable with no errors. And soulless.”
The reality was that the essay was 100% AI-generated.
Welcome to one of the biggest headlines in K–12 education. Generative AI is here, and it's not waiting for permission. It's creeping into essays, Google Docs, do-nows, and student exit tickets. It's transforming how students engage with their assignments—and not always in ways we're ready for. As a millennial Chief Academic Officer leading an urban district, I find myself uniquely positioned: young enough to understand the power of new tech but not naive enough to see the cracks it's creating in classrooms.
To me, this isn't just about the lack of academic integrity or cheating. Honestly, the problem is deeper and way more complex. When AI becomes the shortcut for students, what happens to the academic grapple? The missteps? The “I don't get it, but let me take another stab at it”? I call that the beautiful “messy” or “productive struggle” that we all know matters most for learners.
We're in a moment where AI is moving faster than our district policies, faster than our PD calendars, and, to be real, faster than most educators can realistically adapt. Some educators are excited; I am one of those, if done responsibly. Others are terrified [and I get why!]. Most are just trying to keep their head above water with the constant changes in education. I don't blame them at all—few clear expectations exist. The risk? We accidentally normalize a classroom culture where output matters way more than process, and where the quiet erosion of academic rigor becomes an accepted trade-off for efficiency.
But here's what keeps me up at night: I've seen AI answer essay prompts with frightening precision, I am talking about lightning speed precision, but I've never seen it show its work. It doesn't break a sweat or get stressed. It doesn't pause to ask, “Wait, what does that word mean?” That's the kind of learning we risk losing—and even though I truly believe AI holds exciting potential, I can feel that struggle, that depth, starting to slip away—if we do not act fast!
And the equity implications are egregious. Right now, the students most prepared to use AI already have access to better devices, faster Wi-Fi, and more digital fluency. Meanwhile, historically underserved students risk falling further behind—not because they aren't capable—they are brilliant, but because they aren't equipped with the tools to actually level the playing field. The complete lack of access and opportunity. So we have a tool that could be a bridge… but without adequate guidance, it's actually becoming a wedge.
All of this is compounded by a wider problem: teachers don't know what's okay. Can they use AI to plan their daily lessons? To give student feedback? A recent Education Week survey indicates that 60% of teachers have integrated AI into their lesson plans during this school year. Can students use it to brainstorm? Rewrite? Reflect? What's innovation, and what's a violation of the academic code? Approximately 70% of high school students reported using AI tools during the 23–24 school year.
Nobody wants to be the AI police, per se. But without a shared language and framework, we're asking educators to improvise in the dark. And when educators aren't clear, students aren't clear. That lack of clarity cascades down to the culture of the classroom, where norms get ambiguous, trust gets strained, and the definition of “learning” gets very blurry.
That's where I'm at a standstill. That's my problem of practice. And to be clear, my problem is not “Should we use AI?” That ship has sailed—a few years ago. My question is: How do we integrate generative AI into classrooms in a way that elevates learning, without compromising the values that make education meaningful?!
Right now, I don't have an answer or solution; I just have some ideas and some tension. A growing awareness that something is shifting underneath us. And if we don't slow down to conceptually understand it, we might miss something essential—something human—in our rush to keep up with the futuristic world.
I'll leave it there for now. Next time I'll update you on my thinking and where that's leading me.