I kept watching the AI-in-education wave and feeling like something was off.
Everywhere I looked, “teaching AI” meant making funny pictures with it. Generate a cat in a spacesuit, laugh, call it literacy. And look — I want to do that too. It’s a great hook. But somewhere under the laughing I had this nagging feeling that we were handing kids the single biggest shift of their lifetime and stopping at the surface.
Here’s the thing I had to sit with, though: the doom version isn’t any deeper. A lesson about how AI will reshape civilization is just as shallow as the cat picture — it’s surface-panic instead of surface-fun. Kids nod through it and forget it by lunch. Neither one makes them actually think.
Depth isn’t a heavier topic. It’s a better question.
After twelve years in the classroom, the one thing I trust: you can’t tell a thirteen-year-old something important and expect it to land. You have to build a moment where they catch the realization themselves. That’s the whole game. The funny picture isn’t the enemy — it’s the bait. You use it to spring a real question they can’t un-see.
So I made five. Five infographics, each built to start a twenty-minute argument — not deliver a lecture. Each one teaches a different thinking move (no doing the same worksheet five times in a costume), and every single prompt makes kids point at the evidence instead of just emoting. Built for grades 6–8. Free at the bottom.
New to teaching this? My broader primer, How to Teach AI Literacy in the ELA Classroom (Without Banning ChatGPT), sets up the why — this post is the how.
Five days, about 20 minutes each — or set the five graphics up as stations and rotate small groups through. Either way the rule is the same: every prompt sends students back to the graphic to point at the evidence, not just share a feeling.
Day 1 — The Iceberg
What’s loud isn’t what’s important.
Above the waterline: the screaming newspaper headlines (“AI WILL TAKE YOUR JOB”). Below it, quiet and slow: the stuff that actually rewired your life — spam filters deciding what reaches you, recommendation feeds making your choices, image recognition catching cancers a doctor missed.
The contrast does the teaching. A kid can’t look at it without their own brain doing the move: wait — the important part is the part nobody’s shouting about.
Teacher move: Show it, don’t explain it. Have them sort the graphic into loud vs. actually-important, then sit in the silence until someone gets there.
Day 2 — The Fever Chart
Hype spikes and crashes. Real progress just keeps climbing.
One hot red line for media hype — it spikes, then crashes to nearly nothing, twice (the AI winters). Underneath, steady teal bars for real capability that never once go backwards. The gap between the spiky line and the steady bars is the lesson: a crash in the conversation is not a crash in the technology.
Teacher move: Make them find the year hype and reality disagree most and defend it from the chart — then ask how you’d tell a real breakthrough from a fever before the crash.
Try the move yourself (tap to reveal)
Five real claims from AI history. Hype that fizzled, or real impact that stuck? Guess before you open it.
1958 — “The Navy’s new computer will soon walk, talk, see, and reproduce itself.”
HYPE. It was a basic pattern-matcher (the Perceptron). The real version of that promise showed up about sixty years later.
1966 — “An MIT program proves machines can truly understand us.”
HYPE. ELIZA was a simple script that echoed your words back as questions. It fooled people — which is the actual lesson.
2004 — Spam filters quietly start using machine learning.
REAL. Barely made a headline. Permanently changed what shows up in your inbox.
2012 — Software learns to recognize images.
REAL. The 2012 ImageNet breakthrough led straight to medical imaging that catches disease earlier than people can.
2022 — “ChatGPT will replace every knowledge worker within a year.”
HYPE (so far). Real and important — and also wildly oversold on the timeline. Both can be true.
Day 3 — The Power Audit
A few build it. Billions live with it.
A pyramid: a handful of companies at the narrow top who build it, billions in the middle who get shaped by it, and everyone who ever clicked at the wide bottom whose data quietly trains it. The shape argues the point before you say a word — the smallest group holds the most power.
Teacher move: Make it personal. Have each student map an app they actually use onto all three layers, then ask whether their data was handed over with any real consent.
Day 4 — The Ripple Map
It starts with you. It doesn’t stop there.
Concentric rings out from “AI in your world” at the center — your homework, your phone — to classroom, to jobs, to democracy and truth at the edge. This is the empathy-and-scale move: the thing in your pocket is connected, ring by ring, to who controls what’s true.
Teacher move: Trace one ripple out loud, starting from something in their own pocket, ring by ring, until they realize it never actually stops.
Day 5 — The Fork in the Road
The technology doesn’t decide. We do.
I almost cut this one, because the easy version is fear-mongering — utopia on one side, robot apocalypse on the other. So I rebuilt it around the only variable that actually matters: in every row, it’s the exact same technology. The single thing that changes the outcome is what the person knows. That reframes the whole unit. It’s not a prediction you wait for. It’s a skill you choose.
Teacher move: End on the hard question — same tech, two outcomes, one variable: what you know. Let them answer it about themselves instead of answering for them.
Related: if you’re wrestling with the flip side — students using AI to write their essays — here’s how to tell (and why detectors won’t save you).
It comes classroom-ready
Every infographic has a matching one-page student handout — Look closely → Think deeper → Cite your evidence, with real room to write — and a projection deck with a setup slide and a discussion slide for each day. So it runs two ways with zero extra work: silent stations where kids fill the sheet, or a teacher-led discussion off the screen.
The throughline across all five: kids never just share an opinion. Every prompt sends them back to point at the evidence. That’s the difference between a feelings circle and a thinking classroom.
Grab the whole set — free
Infographics, handouts, and the slide deck. Print it, project it, run it this week. It’s the free on-ramp to the deeper AI literacy work I build — the stuff that teaches kids to control what they put into AI and interrogate what comes out.
Download the free AI Literacy set →
Twelve years in the classroom taught me that kids rise to the level of the question you ask them. So let’s stop asking them to make funny pictures and start asking them to think.
— Ms. G
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