Arc of the Teaching Role

In Plato’s Phaedrus, when the god Theuth brought the gift of writing to King Thamus, Thamus balked. Writing, he warned, would “produce forgetfulness in the soul”. Writing would offer the appearance of wisdom where people will seem to know much, yet lack true understanding. 

But literacy didn’t hollow out thought, it expanded the horizon. Teachers, once oral storytellers and community historians, became scholars who could now compare ideas across times and places. Lectures, recitation, and discussion became the canon of learning.

Two millennia later, the printing press multiplied pages by the millions. “We have reason to fear,” wrote scholar Adrien Baillet, that this “deluge” would make us “barbarous.” Instead, knowledge and scholarly authority scaled. Educators guided readers through abundance and taught shared foundations for mass literacy.

Five centuries after that, the internet swelled the flood of words into an ocean of digital content. Learning became instant, interactive, and networked. The teacher’s role shifted from gatekeeper of pages to navigator of hyperabundance and collaboration, helping students ask better questions and filter the flood.

…Except that’s not what happened. Despite global access to ideas and turbulence caused by the social web, the teacher’s role largely remained printing-press era: purveyor of content, gatekeeper of knowledge.

Now with AI, our access to skills, knowledge, and ideas has exponentially increased. The question is: will the teacher role evolve to meet the demands of this era or will it remain two technologies behind?

Consequences for Learners

Generative Artificial Intelligence (AI) can already simulate complex reasoning, produce multi-modal explanations, and analyze intricate patterns. Used well, AI can expand when, where, and how learning happens. 

Yet, most educators are using AI for the busywork of teaching – grading, generating lesson plans, organizing schedules, summarizing research. Helpful, but a fraction of what’s possible.

For learners, AI use is dictated by academic expectations. The generic essay, problem set, or presentation can be well-produced without much thought. 

The danger isn’t offloading these tasks; it’s that in the age of AI, they no longer suffice as proxies for thinking. 

If school expectations remain unchanged, cognitive skills like framing a question, weighing evidence, and producing a narrative, atrophy from underuse. And because AI tools minimize cognitive friction and maximize engagement, the illusion of progress becomes quite seductive. This dependence has a predictable effect: Overreliance on AI breeds a brittle sense of agency; we are confident when AI is present and powerless when it’s not. 

Consequently, this is precisely the opportunity. AI won’t collapse the teaching role… AI will actually expand it. 

In the age of AI, teachers serve as facilitators of learning who architect the conditions where thinking, judgment, and belonging thrive.

AI widens space for richer, more demanding work. It becomes a catalyst for experimentation, redesigning workflows, and moving learning beyond the busywork. It concentrates the teacher’s role on what machines cannot do.

Facilitators of Learning

As it turns out, today’s teachers are recognizing this shift. In a national survey of 1,268 educators conducted by Ed3, five roles emerged in response to the open-ended question: 

What do you consider the most human part of your work as a teacher  —  the part that would still matter most, even in a world where AI might do almost everything else?

Teachers described their new role as:

• Builders of wellbeing and belonging
• Mentors for motivation and character development
• Designers of personalized learning and feedback 
• Coaches of critical thinking and ethical judgment 
• Connectors of community and real-world experiences

As one veteran rural-school teacher put it, “AI can’t feel the room. It can’t sense when a student needs encouragement, or when a joke will break the tension.”

AI isn’t a rival to teaching so much as a redistribution of labor. Machines can draft, summarize, and sort. But the work that moves learning forward hinges on judgment in context, trust earned over time, and the ability to connect with a child. 

These human edges become even more important as many young people turn to AI companions for friendship and emotional support. For students, these counterfeit relationships can feel comforting and safe. For parents and educators, they raise urgent questions:

What happens when a young person mistakes an algorithm’s mimicry of care with genuine human intimacy? Who helps learners discern between authentic empathy and synthetic approximation? 

With little ethical concern from companies building these bots, counterfeit humans are becoming fast friends with real ones. In this new world, facilitators of learning take on profound responsibilities:

• Guiding learners through uncertainty by helping them ask better questions before turning to AI, and normalizing disagreement as part of inquiry.
• Modeling judgment and ethical decision-making by surfacing limits of data and models, and justifying choices with evidence and values.
• Sparking curiosity, creativity, and purpose by staging problems that matter to society’s wellbeing.
• Cultivating systems of critical thinking by mapping interconnections, building mental models, embracing productive failure, and running AI simulations.
• Building trust with students and families by creating safe, high-expectation communities where feedback is honest, belonging is felt, and motivation is shared.

Being a facilitator also means modeling thoughtful AI use. As teachers experiment, they can more convincingly guide students toward healthy, productive use.

“…it is my job to teach data literacy, information literacy, digital literacy, and AI literacy. To teach students how to properly evaluate information and vet sources and think critically and be skeptical and verify what they read. This also takes a lot of trust building and convincing, a human art…” said an early-career urban school teacher.

This list is not exhaustive and the facilitator role continues to evolve. 

Portrait of a Teacher in the Age of AI

The survey is one input into a national research and design effort led by Ed3 called The Portrait of a Teacher in the Age of AI. This project aims to deliver practical, adaptable tools to help leaders modernize how we identify teaching talent, nurture it, and validate growth in this new AI era.

The work spans four phases:

1. Between Promise & Practice: Evaluates how AI is actually used in schools, distinguishing between shifts in practice and acceleration of the status-quo.
2. The Architecture of the Educator Role: Maps current teacher tasks against emerging demands and predicts what will require human judgment versus augmentation.
3. Science of Artificial Relationships: Begins to evaluate the role of a teacher in helping learners navigate the cognitive and emotional impacts of AI relationships.
4. The Portrait Framework: Presents a localizable, interactive toolkit to help education leaders iterate the role of a teacher.

The project rests on a simple premise: For students to be critical thinkers, agentic, and fulfilled, their teachers must be critical thinkers, agentic, and fulfilled. 

Humans at the Center

From the first written word to the printing press to the web, each leap shifted work to machines and moved teachers closer to the human center. AI makes that shift unmistakable. 

Ten years from now, students won’t remember which AI model they used… they’ll remember who taught them to think without one. They’ll remember the teacher who made a room feel safe and challenging; who connected schoolwork to real people and real needs. 

So how does the role of the teacher change in the Age of AI? It becomes more important than ever before.

¹https://www.media.mit.edu/publications/your-brain-on-chatgpt/
²https://med.stanford.edu/news/insights/2025/08/ai-chatbots-kids-teens-artificial-intelligence.html
³https://www.youtube.com/watch?v=axJtywd9Tbo&t=671s
⁴https://www.reuters.com/investigates/special-report/meta-ai-chatbot-guidelines/