Artificial intelligence is changing the way we work, communicate, create, and learn. For educators, that change can feel exciting—but it can also feel overwhelming.
After more than 30 years in education, I understand that feeling.
I spent most of my career focused on students, curriculum, instruction, assessment, and finding better ways to help children learn. Technology changed many times along the way. New devices appeared. New educational platforms entered our classrooms. New expectations required teachers to continuously learn and adjust.
Then came AI.
At first, artificial intelligence seemed like another technology teachers needed to understand. But as I began studying it more deeply—and eventually building my own AI projects—I realized something important:
Teachers should not simply watch the AI revolution happen. We should be part of shaping how AI is used in education.
AI Is Not About Replacing Teachers
One of the biggest concerns surrounding AI in education is whether technology will eventually replace teachers.
I don’t believe that is where the real value of AI lies.
Teaching involves relationships, judgment, empathy, encouragement, creativity, and an understanding of individual learners. Technology can support those things, but it cannot replace the human connection at the heart of education.
Instead of asking, “Will AI replace teachers?” I believe a better question is:
How can teachers use AI responsibly to become even more effective at what they already do best?
AI Can Give Teachers Back Valuable Time
Teachers spend countless hours planning lessons, preparing materials, differentiating instruction, creating assessments, communicating with families, analyzing student performance, and completing administrative tasks.
AI can assist with many of these processes.
A teacher might use AI to brainstorm lesson ideas, create differentiated practice activities, generate discussion questions, develop writing prompts, adapt reading materials, organize information, or create a starting point for instructional resources.
The teacher still makes the decisions.
That distinction matters.
AI can generate something quickly, but an educator must determine whether that content is accurate, developmentally appropriate, culturally responsive, aligned with learning objectives, and suitable for the students in front of them.
That is why teachers need AI literacy—not simply access to AI tools.
Teachers Bring Something AI Needs: Pedagogical Expertise
The more I learned about artificial intelligence, the more I realized that my years in education were not separate from my AI journey.
They were preparing me for it.
Teachers understand how people learn. We know that a beautifully written lesson is not necessarily an effective lesson. We understand differentiation, scaffolding, assessment, engagement, misconceptions, developmental readiness, and the importance of feedback.
These are valuable perspectives in an AI-powered world.
AI developers can build powerful technology. But educators can ask a different set of questions:
Will students understand this?
Is this appropriate for their age?
Does this actually support the learning objective?
What happens when a student struggles?
Could this information be misleading?
How do we keep students thinking instead of allowing technology to think for them?
Those questions belong in conversations about educational AI.
Students Need Teachers Who Understand AI
Our students are growing up in a world where AI will increasingly be part of school, college, careers, and everyday life.
Simply telling students not to use AI will not prepare them for that future.
They need adults who can teach them how to use it thoughtfully.
Students need to understand that AI can make mistakes. They need to learn how to verify information, protect their privacy, recognize bias, ask better questions, think critically, and distinguish between using AI as a learning partner and using it to avoid learning.
Teachers who understand AI are better positioned to guide those conversations.
You Don’t Have to Become a Programmer
This is something I especially want longtime educators to know.
You do not have to become a software engineer to begin learning AI.
Start with one tool.
Ask it to help brainstorm a lesson. Compare its response with something you would create yourself. Experiment with prompts. Ask it to adapt an activity for different learners. Notice where it performs well—and where it fails.
Then keep learning.
That is essentially how my own journey grew.
My curiosity eventually took me beyond simply using AI tools. I began studying generative AI, prompt engineering, responsible AI, automation, and cloud technologies. I started building practical AI projects and exploring how AI systems could support education and business.
I did not leave my identity as an educator behind.
I expanded it.
Teachers Belong in the Future of AI
Education has experienced many technological changes, and there will be many more.
But teachers bring decades of accumulated knowledge about learning and human development that the technology world needs.
That is why I believe educators should not stand at the edge of this transformation.
We should learn.
We should experiment.
We should question.
We should contribute.
And most importantly, we should help ensure that AI remains a tool that strengthens human learning rather than diminishing it.
After more than 30 years as an educator, I am still learning.
Perhaps that is the most important lesson of all.
The future of education will not be shaped by technology alone.
It will be shaped by the people who understand both technology and learners.
And teachers belong in that conversation.
Continue the Journey
Are you an educator beginning to explore artificial intelligence?
Start small. Choose one practical classroom task and experiment with how AI might support it—then use your professional judgment to decide whether it actually improves learning.
I’ll continue sharing what I learn as I explore the intersection of education, AI, creativity, and lifelong learning here at Suite & Stories.
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