AI-Ready Does Not Mean AI Everywhere

FIELD NOTE #004 · 📍Destination: AI Leadership · Get Clear

I use AI. I teach leaders how to think about AI. I believe it can save time, remove unnecessary friction, help us organize information, generate possibilities, and support better work.

But I also know what happens in schools when we get excited about a solution before we're clear about the problem. We find a way to use the thing because we have the thing. And that's not the same as leadership.

📍Current Reality

Right now, schools are being asked to make increasingly complicated decisions about technology and AI. Some districts are expanding access. Others are pulling back on certain tools. Some are reducing screen time. Some are developing AI literacy standards. Some are trying to determine whether the technology they purchased is producing enough value to justify keeping it.

That doesn't tell me schools are anti-technology. It tells me the conversation is getting more mature.

The question is no longer simply "Can we use AI?" A better question is: Should we use AI here?

The U.S. Department of Education recently released new guidance encouraging schools to judge technology by its instructional value rather than novelty or engagement alone. The Department recommends asking five basic questions: What learning problem does it solve? When should it be used? For whom? For how long? What evidence shows that it improves student learning?

The guidance goes even further: when evidence shows that a technology isn't improving learning, schools should be willing to change course — and ultimately remove it when necessary.

That matters, because responsible technology leadership isn't simply about adopting the right tools. It's also about having enough clarity to say: Not here. Not for this. Not yet. And sometimes: Not at all.

🔄Missed the Turn

This isn't theoretical. Schools are already recalculating their relationship with technology.

Granville County Public Schools is in its second year of going technology-free two days each week. Chapel Hill-Carrboro City Schools has introduced a digital-learning plan aimed at reducing technology use. Burke County Public Schools has emphasized pencil and paper as students' primary assignment tools. NCDPI has also issued guidance around more purposeful screen use.

Across the country, other districts are asking similar questions. San Diego Unified began this school year with a new learner-centered technology approach designed to reduce unnecessary screen time while preserving technology where it supports learning. Chicago Public Schools recently canceled a planned rollout of Google Gemini to high school students amid ongoing questions about privacy, transparency, and AI's role in student learning.

These are different decisions in different places. But underneath them is the same leadership question: what do we want technology to do — and what do we still need people to do?

💡New Information

Sometimes AI readiness gets treated like adoption. How many tools do we have? How many staff members are using AI? How many prompts have we shared? How many classrooms have incorporated it?

Those things tell us something. But they don't tell us whether a school is ready to lead AI well.

A truly AI-ready school has enough clarity to distinguish between three very different kinds of work:

AI Helps. There are places where AI can remove friction — drafting an agenda, organizing meeting notes, brainstorming possibilities, summarizing non-sensitive information, helping someone get started when they're staring at a blank page. In those situations, the technology may help the human work more efficiently.

Human Leads. Then there are places where AI may support the process, but professional judgment still has to own the decision — analyzing patterns in data, generating possible instructional responses, preparing questions for a difficult conversation, reviewing options before making a leadership decision. AI can help us see something we missed, offer another possibility, challenge our thinking. But the human still has to know the context, weigh the evidence, understand the people involved, and decide what happens next.

Human Only. And then there are places where I believe the answer should remain human — a sensitive conversation with a family, the final decision about an employee, determining what support a student truly needs, the relational work of leading adults through change, the judgment required when circumstances are complicated, personal, or high stakes, the moments when someone needs to feel heard rather than processed. Not everything that can be automated should be. Not every decision AI can inform should be handed over to it. And not every efficiency is worth what we lose to gain it.

Knowing how to use AI isn't enough, either. Nationally, at least 37 states have now issued AI-in-education guidance. Districts like Charleston County are teaching students and educators to recognize inaccuracies, bias, privacy concerns, and the limits of chatbot outputs — including when AI shouldn't be used at all.

That distinction matters for adults too. Someone can be highly skilled at using AI and still lack the judgment to know whether the answer deserves trust. So one of the most important AI leadership questions may become: are we developing people who know how to challenge the machine? Can they ask: What might be wrong here? What context is missing? What assumptions is this making? What do I need to verify? Does this recommendation fit what I know about this student, teacher, family, or school?

AI literacy without human judgment is incomplete.

🧭Next Right Move

Readiness is really a leadership-systems question. That's one reason I recently released the AI Leadership Readiness Snapshot — not to measure how much AI a school is using, but to help leaders look underneath the tools.

Are expectations clear? Are leadership decisions consistent? Do adults have the capacity to use AI responsibly? Are there appropriate boundaries? Could leaders explain their decisions to staff, students, and families? Are we reviewing whether AI is helping — and willing to change course when it's not?

Those questions tell me far more about readiness than the number of platforms on a school's approved-tools list.

If you want a clearer picture of where your school currently stands, take the AI Leadership Readiness Snapshot here.

Pick one way AI is currently being used in your school — or one way you're considering using it. Then ask: does AI help here, does the human need to lead here, or should this work remain human only? And then ask the harder question: can we explain why?

Because AI readiness isn't about finding more places to use AI. It's about developing enough leadership clarity to make intentional decisions about where it belongs. And where it doesn't.

If you want practical next steps for turning that thinking into action, the AI Leadership Quick Wins Power Session walks leaders through immediate moves for creating clearer expectations, protecting human judgment, and making more intentional AI decisions. The session is recorded, so you can access the replay anytime.

Ashley Springs, Ed.S. School Leadership Consultant Defining My Way: School Leadership    Real Support. Real Systems. Real Results.