Should we be worried about AI?

It’s a question that’s showing up in classrooms, workplaces, homes, and conversations everywhere. Sometimes it’s asked directly: Will AI replace teachers? Other times it shows up more quietly: What does this mean for how we learn? What does this mean for the future of work?

In this episode, I explore how the rapid rise of generative AI is reshaping how we think about teaching and learning. Rather than focusing only on tools or policies, this conversation looks at the deeper questions underneath the technology – questions about identity, trust, creativity, and what it means to remain human in a world where machines can generate information so quickly.

Drawing on experiences from my own teaching career and the People Teaching People Framework, I reflect on how AI intersects with the science, art, and heart of learning, and why this moment might be less about replacing educators and more about clarifying what matters most in the work we do together.

Listen in as we talk about:

01:00 AI and the future of teaching

04:18 Technology when I started teaching

05:51 Technology when I was a student

08:06 The science, art, and heart of learning

09:30 The value of human voice

10:19 Rethinking learning in an AI world

11:10 Trust, ethics, and AI literacy

12:51 The messy middle of change

13:18 The human heart of teaching and learning

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As educators, leaders, parents, creators, and lifelong learners – as people who care deeply about teaching and learning – many of us are wondering what AI might mean for the future. Will teachers still matter? Will students still learn how to think deeply? Beneath the headlines and rapid technological change, these questions are often less about the tools themselves and more about what we value in learning. When we pause long enough to ask them honestly, the conversation shifts from fear toward curiosity about how teaching and learning might continue to evolve.

When I started teaching in 2002, the classroom looked very different. Students handed in printed assignments, we used overhead projectors, and the computer lab had to be booked in advance. Smartphones weren’t yet part of everyday life, and a phone ringing in class usually meant someone’s parent, or even grandparent, calling with a reminder about something waiting at home after school. Within a few years, that began to change. Smartphones appeared in pockets, social media became part of daily life, collaboration tools emerged, and learning increasingly moved online.

Looking back even further, the tools of my own childhood learning feel almost nostalgic now: programming the turtle in elementary school, using CD-ROM encyclopedias, listening to the screech of dial-up internet, and printing directions from MapQuest. Education has always adapted alongside technology. Calculators, the internet, search engines, and smartphones have all changed how we access information. What feels different about this moment isn’t that change is happening. It’s the speed at which it’s unfolding.

One way to make sense of this moment is through the lens of the People Teaching People Framework. The science of teaching includes the structures that support learning: clear objectives, thoughtful assessment, and feedback that helps learners grow. The art brings learning to life through creativity, voice, and energy. But at the centre of it all is the heart – connection, trust, belonging, and the emotional experience of learning together. While AI may support parts of the science and the art, the heart of learning continues to be deeply human.

“In a world of synthetic content, genuine presence stands out. Human voice becomes valuable. Messy thinking becomes valuable. Emotion and imperfection become valuable.”

As AI-generated content becomes more common, authenticity becomes more noticeable. Imperfect thinking, lived experience, and genuine human perspective stand out in a world where polished content can be produced almost instantly. In many ways, the rise of AI may actually highlight the value of real voices, real stories, and real presence. The things that make us human become easier to recognize and more meaningful.

If AI can generate an essay in seconds, it invites us to reconsider what we are truly assessing in learning. Instead of focusing only on polished final products, educators may increasingly look for visible thinking – the reasoning, reflection, and the process behind ideas. Struggle and effort have always been part of meaningful learning, and this moment offers an opportunity to think carefully about how we continue to support deep understanding in a changing landscape.

As AI becomes more integrated into daily life, questions of trust, ethics, and access become increasingly important. Not all learners have equal access to these tools, and the systems that power them can carry bias from the data they are trained on. Developing AI literacy, understanding how these systems work, where their limits are, and how to use them responsibly, is becoming an essential part of learning in the modern world.

Moments of technological transition rarely arrive with clear answers. Policies are still developing, best practices are still emerging, and many educators and organizations are experimenting in real time. This period can feel uncertain, but it is also where growth happens. The messy middle is often where reflection, adaptation, and new possibilities begin to take shape.

“AI may support the science and the art of teaching and learning. But the heart still requires – us.”

Technology will continue to evolve, and the ways we teach and learn will evolve alongside it. But the deeper purpose of education – helping people think, grow, connect, and understand the world – remains rooted in human relationship. AI may support parts of the work. It may help us generate ideas, summarize information, and move more quickly through certain tasks. But the qualities that make learning meaningful – critical thinking, lived experience, emotional intelligence, ethical reasoning, and our ability to build trust with one another – are still deeply human. In the end, even in an AI-shaped future, it is still people teaching people.