What the New AI Literacy Mandates Actually Mean for Your Classroom

Cover image for If Teachers Ruled the World Season 2, Episode 3, "What the New AI Literacy Mandates Actually Mean for Your Classroom."

AI literacy mandates are showing up in state legislatures and at the federal level faster than most classrooms can keep up with. In this month’s Teacher Reality Check, I’m translating what all of this means for your Monday morning. I’m also telling you about the time a room full of my own students assumed I was letting them cheat, and what that told me about the gap these new AI education policies are trying to close.

Grab the Framework Before You Listen

Before you press play, there’s a free download that comes with this episode: a four-move framework you can use to AI proof any assignment, so students do their own thinking first and use AI to augment, not replace, their work. It’s the kind of practical, no-budget-required starting point to help you get started with adding AI literacy into your own classroom. Go ahead and grab it HERE.

The Reaction That Told Me A Lot…

I built a Gemini Gem (super easy to do) to help my new students work through tough study guide questions at home. It doesn’t give them the answers. It helps them think through the prompts. These kids did not react with gratitude. They were in disbelief, like I’d just given them permission to cheat. I let you know in the episode how I responded and why that one moment’s a small-scale preview of the problem AI literacy mandates are trying to solve at a policy level.

The Bill That Says AI Won’t Replace Teachers

One state wrote something into the legal language that gave me a little deja vu: a statement that “AI shall not replace human teachers.” Lawmakers putting that language in legislation shows the fear and whiplash a lot of people are feeling right now. It looks a lot like the last time schools rolled out new technology at scale between 2014 and 2018. But we didn’t all lose our jobs to Chromebooks and I don’t think we will to AI, either.

But AI has and will continue to make our jobs more difficult unless we can get ahead of it.

PISA, Executive Orders, and the State-by-State Scramble

Between a federal executive order, an international exam adding AI literacy to its scoring for the first time, and multiple state bills introduced this year, there’s a lot of AI education policy jargon flying around right now. I break down what PISA is, what the federal order does and doesn’t fund, and how different the state-level response is state by state, including the one state tying school funding to AI policy compliance.

The Monday Morning Version

Policy translation is only useful if it comes with practical suggestions, so I walk you through a simple test for whether an assignment can be completed by AI alone, start to finish. If the answer is, “yes,” I’ve got a framework to help you fix that.

Key Takeaway: AI literacy mandates are arriving in classrooms nationwide, mostly without the funding or training to back them up, which means the fastest way to get ahead of the mandate isn’t waiting on your district, it’s trying to get ahead of it yourself, starting this week.

Key Moments:

00:00:00 – Leah opens with the free AI proofing framework and previews today’s Teacher Reality Check on AI literacy mandates hitting classrooms nationwide.

00:01:53 – The Teacher Reality Check begins with Leah’s Gemini Gem story from her new school, and why her students assumed ethical AI use meant she was letting them cheat.

00:05:36 – Leah breaks down the federal executive order, defines PISA and its 2029 AI literacy category, and surveys the state-by-state AI education policy landscape from Idaho to West Virginia.

00:08:19 – The reality check lands: most AI literacy mandates come with no funding attached, plus the Idaho bill line stating AI won’t replace teachers and what that fear has looked like before in classrooms.

00:10:58 – Leah walks through what to actually do Monday: modeling AI use transparently, plus the four-move framework for AI proofing any assignment.

00:14:12 – Leah closes with her answer to “if I ruled the world”: funding that actually comes attached to these mandates.

Resources and Links

4 Moves to AI-Proof Any Assignment – Leah’s free framework, mentioned throughout this episode

Reimagining Instruction in the Age of AI – Leah’s full course on AI literacy, ethical AI use, and AI proofing assignments, linked from the free framework page above

AI in the Classroom: Ethical AI Use Is a Skill. Are We Teaching It? – leahcleary.com blog

Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth” – the federal order discussed in this episode

PISA (Programme for International Student Assessment) – the OECD’s international exam adding AI/media literacy in 2029

Legislative Tracker: 2026 State AI in Education BillsFutureEd, Updated 7/13/2026

How States Are Regulating AI in Education this Legislative SessionMultiState, 4/9/2026

Prefer Reading? I’ve Got You…

Podcast Transcript – If Teachers Ruled the World
Show Transcript
00:00:00 – Leah Cleary Before we get into today’s episode, grab this. I’ve got a free four move framework for AI proofing any assignment so students do the real thinking on their own first, and then you teach them how to use AI to augment what they’ve already built, not replace it.
Go get it right now at leahcleary.com/ai-proof-framework. While you’re there, you’ll also see my complete course, Reimagining Instruction in the Age of AI. It gives you a framework for teaching ethical AI use, exactly what states are starting to require as part of AI literacy.
Plus it walks you through AI proofing your own assignments step by step with AI prompts to help you actually do it. So go grab that now, because we are about to talk about why this matters more than ever, with AI policy changes on the horizon at the federal level and in states across the country.
You are not going to want to miss this. So go to leahcleary.com/ai-proof-framework. And I’ll see you in just a minute in the episode.
00:01:53 – Leah Cleary It’s time for your monthly teacher reality check, where we translate education policy jargon into what it actually means for those of us in the classroom.
So I just started at a brand new school, in a brand new grade level, teaching a brand new subject. And one of the things I’ve noticed fast is that my students don’t really understand the difference between using AI ethically and using it to just make their work disappear.
You see, I built a Gemini Gem for my students to use at home. Something to walk them through some pretty complex study guide questions, not to give them the answers, but to help them think through the answers.
And when I introduced it for the first unit, more than one student looked at me and basically said, oh, wait, you’re letting us cheat. I had to stop and say, no, I’m not letting you cheat.
I built this Gem and it’s the only chatbot you’re allowed to use. Honor code. It is not going to give you the answer. It’s going to walk you through dissecting the prompt and arriving at your own conclusion, the same way I would if you raised your hand in class.
This just means you have the same help available to you when you’re not in class. Well, maybe not the same, but something. And to me, that is actually the real upside of AI done right. It levels the playing field.
Not every kid has a parent who can sit down and walk them through a hard assignment, or the money for a tutor. A tool like this means the kid whose parents are working two jobs gets the same kind of support as the kid whose parents can afford that extra help. That’s not cheating, my friends. That’s access.
But my students’ reaction told me something very important. Nobody has drawn the ethical line for these kids. They don’t know there’s a difference between using AI to think and using AI instead of thinking.
And on top of that, a lot of them don’t seem to know, or they don’t want to know, that AI is frequently wrong. Frequently and confidently.
I caught this myself before I moved a lot of my writing back to pen and paper in class. I had a student in AP World History turn in an essay that did not sound like them at all, and it had a glaring historical error.
See, they used the Song Dynasty, which fell to the Mongols in the twelve hundreds, as an example of something happening in China in the fifteen hundreds. Off by about three centuries and a different dynasty entirely.
That’s the kind of mistake that happens when a student hands the thinking over to a chatbot and doesn’t look closely enough to catch it.
Meanwhile, I do use AI myself. I use it to brainstorm, to think out loud when I’m stuck, to hand a rough draft to and ask, where is my argument weak? What am I missing? It’s never once done my thinking for me. It’s a second set of eyes, not a replacement for the first set.
That gap, between how I use it and how my students assumed it was meant to be used, is exactly what state legislatures are starting to catch up to.
00:05:36 – Leah Cleary This year alone, at least one hundred and thirty four AI and education bills have been introduced across thirty one states. Thirty one states now have official AI guidance out from their departments of education.
At the federal level, in April of twenty twenty five, the president signed an executive order called Advancing Artificial Intelligence Education for American Youth. It created a White House AI education task force and directed the Education Secretary to prioritize federal grants for teacher AI training.
Now, separate from that, and I want to be really clear, these are two different things. There’s PISA. PISA stands for the Programme for International Student Assessment. It’s the exam that already ranks fifteen year olds across the world in reading, math and science every three years.
Starting in twenty twenty nine, PISA is adding a media and AI literacy category for the first time ever. That’s not a US policy. It’s run by the OECD, an international body, not the White House.
But it means how American students measure up on AI literacy is about to become part of a global scoreboard. The same scoreboard where we’re now sitting around twenty eighth in math.
At the state level, Idaho has built a full AI framework covering privacy, procurement, transparency, academic integrity, literacy standards, and teacher training.
Maryland’s AI Ready Schools Act requires districts to adopt a policy, name an AI coordinator, and, this is the important part, pays for statewide teacher training. Virginia is funding and evaluating AI pilot programs in schools.
Mississippi and Alabama are tying AI instruction to graduation requirements through computer science credit. California is protecting student data, prohibiting it from being used to train AI models.
Oklahoma wants parents notified when AI tools are used with their kids, with an opt out option. Ohio is leaving it to individual districts to write their own policy, and West Virginia is the one to watch, guys. Their bill actually ties district funding to whether districts adopt a compliant AI policy.
00:08:19 – Leah Cleary So here’s your reality check. Maryland and Virginia are the exception. Most of these laws hand down the mandate and stop there. Teach this, train on this, build a policy around that, and find the time and the budget yourselves, using money that was already stretched before anyone said the words artificial intelligence.
Now, there’s one detail out of the Idaho legislation that I really can’t stop thinking about. Written into the actual bill, in legal language, is a line that says AI shall not replace human teachers.
My first reaction was, wait, who thought that was on the table? But we’ve all actually seen this before. Back between about twenty fourteen and twenty eighteen, when schools were rolling out one to one devices, I remember teachers saying almost exactly this. This software is going to replace us.
And then the pandemic hit, and kids really were placed in front of software at scale, with minimal live instruction. And we all watched it fail, not because the software was bad, but because a program can’t notice a kid is having a rough week and adjust on the spot. A teacher can. That fear didn’t survive contact with reality.
So when a legislature feels the need to write that AI won’t replace teachers into an actual bill, that tells us the fear is still loud enough that lawmakers felt they had to say it again. But I don’t think the law is what actually settles that fear. Using the tool does.
I use AI and it has never once made me less necessary in my own classroom. If anything, the teachers who get their hands on it are usually the ones who stop being afraid of it, at least for now.
So here’s where this leaves us. This is coming, whether your district has said a word about it or not. Some states are funding the transition. Most aren’t. And if nobody at your school has handed you a policy or training yet, that’s not you falling behind. That’s a predictable gap in how this is being rolled out, and you’re allowed to name it exactly as that. It’s a gap.
00:10:58 – Leah Cleary So the question is, what do you actually do Monday, regardless of what your state or district has or hasn’t announced yet? First, model your own AI use out loud, transparently.
I’ve done this before with freshmen using Google Slides, where you can show version history. Here’s the slide I built from scratch. Here’s the version after I asked AI to help me tighten it up. Same content, mine, just polished and more graphically sound. Showing them the receipts teaches the ethical line better than any rule on a poster.
Second, and this is the piece I built out fully in my course, Reimagining Instruction in the Age of AI, there’s a simple test you can run on any assignment. Could a student finish this with AI alone, start to finish, with no thinking of their own required? If the answer is yes, here are four moves that put the student back into the work.
Move one. Make the process visible. Before a single device comes out, students start a research and decision log. What sources they used, what they rejected, why they rejected it. It gets turned in with the final product, not as an afterthought, as part of the grade.
Move two. The AI layer. AI only enters after students have done their own initial thinking, never before. It checks for gaps and accuracy. Students document what it told them and what they did with that feedback. AI can inform the product, it cannot write it. And we all know that sometimes it will be wrong about fact checking.
Move three. One human layer per product. Every assignment gets one required addition AI cannot supply. A real perspective, a lived detail, an original judgement call. Specific beats vague. Include a quote from an eyewitness you name and describe. See, that works. Be creative doesn’t.
Move four. The oral component. During presentations, every student answers one process question. Cold. No prep. No notes. Not a trivia check, a process check. A student who actually did the work should be able to easily answer it.
I built a free one page breakdown of these four moves, and I want you to have it. Go grab it at leahcleary.com/ai-proof-framework. It’s free and it walks you through all four moves in more detail than I can give you here.
And if you like what you see there, that’s also where you can learn about the full course, which walks you through not just AI proofing assignments, but teaching students to use AI ethically in the first place, in ways that are in line with a lot of what these new state mandates are now requiring anyway. Go grab it. Don’t put it off.
00:14:12 – Leah Cleary So if I ruled the world, this one’s easy. There would actually be funding attached to these mandates. Because what we’re looking at right now is, once again, states and the federal government asking teachers to do more, without giving us the time, the training, or the money to do it well.
Until next time.