Why Teachers Should Become Guides

The future of education may depend less on better instructors and more on better relationships.

For generations, we've measured the quality of a school by the quality of its teachers. We sought out districts with exceptional educators, moved across town to be inside the right attendance boundaries, and celebrated the gifted teacher whose classroom every family hoped their child would enter.

That instinct made perfect sense. Knowledgeable teachers were scarce. If a student wanted to learn chemistry, calculus, or French, the limiting factor was finding someone who knew enough to teach it well.

I've started wondering what happens when that assumption quietly disappears.

This question has become central to my thinking about Guide-model schools, and it's the focus of my latest Guide Schooling YouTube and Podcast episode. Rather than retell the stories from the episode here, I'd like to explore the larger idea behind them. I think it helps explain not only where education is headed, but why I have become increasingly optimistic about the future of the teaching profession.

The most important constraint in education has changed

Every education system is built around constraints.

For centuries, the defining constraint was access to expertise. Teachers with deep subject knowledge and teaching capacity were relatively scarce. Schools evolved to make the best possible use of those precious human resources. One knowledgeable adult could stand before 30 students and efficiently transmit knowledge to all of them. Age-based classrooms, bell schedules, standardized curricula, and teacher preparation programs all emerged as sensible responses to that reality.

Too often, critics of conventional schooling dismiss these structures as outdated relics. I think that's unfair. They were elegant solutions to a genuine problem. Modern public education dramatically expanded literacy, numeracy, and opportunity around the world because it solved the problem it was designed to solve.

The problem is that the constraint has changed.

Students still need instruction. That has not changed and never will. Every learner needs explanations, practice, feedback, correction, and encouragement. What's changing is where that instruction comes from.

High-quality instructional content is no longer limited to the adult standing at the front of the room. Adaptive learning platforms, intelligent tutoring systems, instructional videos, and increasingly capable AI assistants have dramatically expanded students' access to explanations tailored to their current level of understanding. While these tools remain imperfect, they improve every year.

The result is something I have started describing with a simple phrase:

The scarcity has moved.

Instruction is becoming increasingly abundant.

Human attention is not.

What remains scarce?

When people discuss artificial intelligence in education, they often ask whether AI will replace teachers.

I suspect that's the wrong question.

The more interesting question is this:

If instruction becomes abundant, what becomes scarce?

The answer isn't difficult to observe inside schools.

Students need adults who notice when they're discouraged. They need someone who can celebrate progress they don't yet recognize, ask difficult questions, build confidence after failure, encourage persistence, and help them imagine futures they cannot yet see.

These are profoundly human responsibilities.

Ironically, many teachers already recognize this. Ask educators what consumes their emotional energy, and they rarely answer, "Explaining long division." They describe mentoring anxious students, helping children navigate friendships, coaching adolescents through setbacks, communicating with parents, or encouraging someone who has concluded they are "just not a math person."

Society has already begun asking teachers to do much more than deliver instruction.

The problem is that we have rarely taken anything off their plate.

Instead, we have layered these responsibilities on top of a profession already filled with lesson planning, grading, classroom management, administrative paperwork, and whole-group instruction.

AI does not eliminate those human responsibilities.

It creates an opportunity to redesign the profession around them.

The evolution of teaching

This is why I increasingly describe the future educator as a Guide rather than simply a teacher.

The distinction isn't semantic.

A teacher's identity has traditionally been tied to delivering instruction. A Guide's identity is tied to developing people.

Those responsibilities overlap considerably, but they are not identical.

A Guide still ensures students master mathematics, reading, science, and writing. The difference is that instruction increasingly comes from carefully selected learning tools that adapt to each student's needs, while the Guide invests more time observing, coaching, motivating, and building relationships.

This isn't a reduction of the profession.

It is an expansion of it.

In many ways, it elevates the work that only another human being can perform.

Research is beginning to point in the same direction

Educational research has long suggested that the strongest influences on learning extend well beyond curriculum alone.

John Hattie's synthesis of more than 2,000 meta-analyses consistently highlights the importance of timely feedback, teacher credibility, student expectations, and strong teacher-student relationships. These are not easily automated because they depend upon judgment, trust, and deep knowledge of individual learners.

Similarly, researchers studying mastery learning have repeatedly found that students make the greatest gains when instruction adapts to their current level of understanding rather than forcing everyone through identical lessons at identical speeds. Benjamin Bloom famously argued decades ago that individualized tutoring produced dramatically stronger outcomes than conventional classroom instruction. Today's adaptive technologies bring schools closer to that ideal by making personalized practice available to many more students.

Artificial intelligence does not invalidate these findings.

It makes them more practical to implement at scale.

A different way to think about educational technology

Educational technology has earned a mixed reputation, and often for good reason.

Many schools purchased laptops only to bolt them onto existing classroom models. Students still moved through the same lessons at the same pace while teachers remained responsible for delivering instruction to everyone simultaneously. Under those conditions, laptops often became distractions more than accelerators.

The problem was never the laptop.

The problem was the design.

Guide-model schools approach technology differently.

Instead of asking, "How can technology support teacher-led instruction?"

They ask:

"How can technology make personalized instruction so efficient that educators recover time to invest in students?"

That is a profoundly different design question.

Why this matters beyond affluent schools

One of the misconceptions about AI-powered learning is that it belongs only in wealthy schools with beautiful campuses and expensive devices.

I don't believe that's true.

Some of the most inspiring examples I've seen are in places with remarkably few resources.

A dependable adult who believes in children, reliable internet, thoughtfully chosen learning applications, and a handful of laptops can create learning opportunities that were unimaginable only a decade ago.

That reduces one of the largest historical inequities: access to excellent instruction.

The Guide model is remarkably adaptable because it depends less on luxurious facilities than on thoughtful design.

Common questions about the Guide model

Doesn't this reduce the importance of teachers?

No.

It changes where teachers create value.

The educator becomes less responsible for delivering every explanation and more responsible for helping each child flourish.

Don't students still need instruction?

Absolutely.

The Guide model assumes students always need instruction.

The difference is that instruction increasingly comes from other sources—adaptive software, AI tutors, videos, books, and peers.

The teacher is no longer the gateway to knowledge.

Won't students simply spend all day staring at screens?

Not if the school is well designed.

One of the central goals of the Guide model is to compress core academics into a highly focused portion of the day. When students complete personalized academic work efficiently, they gain time for projects, movement, apprenticeships, arts, athletics, outdoor exploration, and meaningful relationships.

Technology should create more human experiences than ever.

Questions every school should begin asking

Rather than debating whether AI belongs in schools, leaders might ask more productive questions.

• Where are our educators spending time that software increasingly handles well?
• Where do students most need human relationships?
• What responsibilities could be shifted away from teachers so they can coach more deeply?
• If instruction became dramatically more personalized, how would we redesign the rest of the school day?
• What would our school look like if relationships became our scarcest resource?

These questions lead naturally toward redesign rather than incremental improvement.

A profession worth choosing

One of the unexpected conclusions I've reached while visiting Guide-model schools is that the future of teaching appears more satisfying.

Imagine spending less time repeating the same explanation six times each day.

Imagine spending more time sitting beside students, asking thoughtful questions, celebrating breakthroughs, helping children navigate disappointment, identifying hidden strengths, and encouraging ambitious goals.

Many educators entered the profession because they wanted exactly those moments.

Ironically, the industrial design of school often leaves too little time for them.

The Guide model offers a different possibility.

It suggests that as instruction becomes increasingly abundant, educators can devote themselves to what has always mattered most.

Helping young people grow.

Continue learning

If this way of thinking resonates with you, the best next step is our self-paced From Teacher to Guide course, developed with Arizona State University, the Clayton Christensen Institute, and Guide School. Rather than focusing on AI tools alone, the course explores the larger redesign of schooling that becomes possible when personalized instruction frees educators to become Guides. You can learn more at https://www.guide.school/asu.