Generative AI is like a Swiss Army knife for knowledge—it is versatile, powerful, and always within reach.
However, like any tool, it is not perfect. It can make mistakes, it can “hallucinate” information, and it can replicate biases found in the data it was trained on.
Despite these limitations, AI has the potential to be a powerful leveller.
A Productivity Leveller
Research suggests that while high performers may see moderate gains from AI, those who struggle often benefit the most. Top performers may increase their productivity by around 17%, while lower performers can see gains of up to 43%.
This matters because AI captures patterns from highly effective work and makes them accessible to everyone, essentially giving all users access to expert-level thinking on demand.
What AI Is (and Isn’t) Good At
AI is especially effective for tasks involving language, such as writing, summarizing, and explaining. It also performs well in mathematical and logical reasoning, as well as planning and organization.
At the same time, AI is less capable when it comes to spatial reasoning and physical or hands-on tasks. In other words, AI is strong in thinking work but not in doing work.
Two Ways AI Shows Up
AI can function in different ways depending on the context.
AI can act as augmentation by serving as a co-pilot that supports productivity, creativity, and decision-making while humans remain in control.
AI can also act as transformation, where it takes the lead and humans move into oversight roles, as seen in examples like autonomous vehicles.
The Future of Work (Proceed with Caution)
AI will impact nearly every job, and some roles will change significantly or disappear.
Although there are bold predictions about widespread job loss, the exact numbers remain uncertain. What is more certain is that routine cognitive work is becoming increasingly automatable, and human value is shifting toward judgment, creativity, and ethical decision-making.
What This Means for Education
If AI can generate content, support research, and assist with aspects of assessment, we need to reconsider what we are teaching and what we are evaluating.
These questions challenge the very purpose of school.
Picture This: A Hypothetical Classroom Moment
In a Grade 10 classroom, students are working on a persuasive writing task about climate change.
One student, Maya, opens an AI tool and asks it to draft her argument. Within seconds, she has a well-structured response with strong vocabulary and clear organization.
At first glance, it looks impressive.
Her teacher pauses beside her and asks, “Do you agree with this argument?”
Maya hesitates. She says, “I think so… but I’m not really sure how it got there.”
Across the room, another student is using AI differently. He asks the tool to generate three opposing viewpoints, then chooses one to challenge and builds his own argument in response.
The work takes longer. It is messier. But it is his thinking.
The teacher gathers the class and asks a simple question:
“If AI can write this for you, what is your job as a thinker?”
The room shifts.
Students begin revising—not to make their work sound smarter, but to make it be smarter. They question the AI’s claims, refine their ideas, and explain their reasoning out loud.
The task hasn’t changed. But the learning has.
AI Literacy Is Now Essential
Students need to understand how AI works at a basic level, what it can and cannot do, and what risks and safety concerns are involved.
More importantly, students need to learn how to think alongside AI and use it responsibly.
The Human Skills That Matter More Than Ever
In an AI-rich world, we need to raise, not lower, expectations.
Students need to develop critical thinking and skepticism, as well as strong problem-solving abilities. They also need sound judgment and decision-making skills, along with clear communication, especially through oral language.
Students must be able to ask thoughtful questions, explain their reasoning, and adapt when faced with uncertainty.
The Case for the Humanities
AI may increase access to knowledge, but it does not provide wisdom.
Subjects such as philosophy, history, and anthropology help students explore what we value, what we should trust, and what decisions should remain human.
These are fundamentally human questions that require human judgment.
Learning Needs to Change
Learning should move away from siloed approaches and toward cross-curricular thinking, collaboration, and real-world problem-solving.
Students should learn to co-create with AI rather than avoid it, and AI should be integrated into most classrooms as part of everyday learning.
A Hidden Risk: Relationship and Dependence
We also need to be mindful of how students relate to AI.
Some students may begin to treat AI as a friend, rely on it too heavily, or struggle to work independently. This is especially important to consider for younger learners.
Questions We Should Always Be Asking
As AI continues to evolve, we need to ask important human-centered questions.
We should be asking how these tools will affect us in the future, what we truly value, and what we choose to outsource to AI.
These questions require human judgment and should remain central in education.
Final Though
If AI can handle content generation, research, and elements of assessment, then education must shift from focusing on producing answers to developing thoughtful, capable thinkers.