AI literacy, domain expertise, and the future of education. Why is no one talking about this?
We’re talking a lot about AI literacy lately, diving into prompting, ethics, critical thinking. While that’s all important, there’s a quiet piece of the puzzle no one’s talking about. A piece that may hold the key to the future of education. That piece? Domain expertise.
Hi, I’m Bianca Raby: educator, CEO, and deep thinker. Today, I want to explore how AI literacy and domain expertise are tightly linked, and why educators can’t afford to overlook this connection for our future. Check out this video I made on this topic here:
Why AI literacy must include domain expertise to shape the future of education
Most assume AI literacy just means “knowing how to use the tools.” But real AI literacy is much deeper. It asks: How does AI show up in my world? How do I apply it to my specific context, profession, or craft? That’s where domain expertise comes in.
In education, we don’t just need tool users—we need educators with domain expertise who can integrate AI literacy meaningfully, ethically, and strategically. It’s this combination that will shape the future of education.
Let’s break it down with three levels of AI literacy—through the lens of domain expertise:
Level 1: applied AI awareness
Educators begin to notice how AI intersects with their role: auto-marking, lesson generators, student chat tools. They ask: Where is AI creeping into my practice? This is the awareness phase—where AI literacy meets curiosity, and domain expertise helps frame the right questions.
Level 2: AI application in professional contexts
Here, domain expertise allows educators to use AI intentionally. They apply tools to reduce admin, enhance differentiation, or improve feedback. But they’re not asking “How much AI can I use?”—they’re asking, “Is this aligned with what I know good learning looks like?”
This discernment is where the future of education begins to take shape.
Level 3: strategic AI leadership
Educators with deep domain expertise begin leading. Not just in tool selection—but in values-based conversations around ethics, student agency, and learning integrity. They drive AI literacy in their schools, and influence how the future of education is shaped—by humans, not just algorithms.
But here's the catch: if AI literacy doesn’t include domain expertise, we risk flattening learning. Pre-packaged stories. Formulaic writing. Tools that skip over the critical discomfort where actual thinking happens.
The result? Student voice gets lost. Creativity gets diluted. And the future of education becomes sterile and surface-level.
We must teach learners (and teachers) to be context-aware, not just tech-aware. Because no chatbot can replace the wisdom of a teacher with strong domain expertise who understands their learners, their pedagogy, and their power.
So, what’s next?
Let’s elevate AI literacy by embedding it within domain expertise. Let’s ensure the future of education stays deeply human, creative, and intentional.
If this opened something up for you, let me know. Share your corner of education and how AI is showing up for you. The future of education needs your voice.
Until next time, stay awesome.

