TL;DR Ten years ago we talked about flipping education. Now the world is talking about AI literacy: UNESCO has released a student AI competency framework, and countries are packaging AI literacy into curricula delivered by the credit hour. That’s a good thing, and it has real limits. An education experiment from a decade ago has a question for it: is there a syllabus for collaborative literacy? Can systems thinking be scheduled into a timetable? These capacities only grow inside authentic tasks. The flip opened a door. What kids still need to climb in the AI era is figuring out, once answers are cheap, how to actually grow that literacy.
Ten years ago, the hottest word in education was “flip.” Turn the teacher’s lecture into student self-study. Turn the textbook into a project. Turn the classroom into the world. That’s when I started walking kids through a non-conventional educational path.
Ten years later, the hottest phrase has become “AI literacy.” And this time, the world is moving faster than before.
Countries Are Scheduling AI Literacy Into the Timetable
In 2024, UNESCO released a student AI competency framework, breaking AI literacy into 12 competencies across four dimensions: human-centered thinking, AI ethics, AI technology and applications, and AI systems design. The framework stresses critical engagement, not stopping at the level of operating tools.
Action followed quickly. Some countries have scheduled AI literacy courses into primary and secondary schools, mandating a minimum number of hours per school year from elementary through high school. Others have set national targets: a full-grade AI education system in place by 2030. Behind all these moves is a shared logic, that literacy can be turned into a curriculum, standardized, and delivered by the credit hour.
This direction makes sense. Standardization is the only path to scale. It’s what keeps AI education from being a privilege reserved for a handful of well-resourced schools, and what makes it reachable for remote and disadvantaged communities. If a country needs millions of children to have access to AI education, there is almost no alternative to curriculum-based delivery.
But running that education experiment for a decade gave me a different understanding, and a different gut feeling about this.
Is There a Syllabus for Collaborative Literacy? Can Systems Thinking Be Scheduled?
Here is what I found: some capacities, you cannot put in a timetable.
Judgment, collaboration, systems thinking: the things every future-skills report flags, don’t come from completing a few classes or passing a test. They need context. They need friction. They need a shared goal that demands to be met. In my piece “Four Kids, One Summer, a Website That Had to Go Live”, I wrote about how students really learned systems thinking: by being stuck in front of a blank page for two weeks, forced by a real business problem to think it through. That capacity for clear thinking couldn’t be handed to them in a single class.
Collaboration works the same way. You can teach “five principles of teamwork” in a classroom, and students will remember them. But real collaborative capacity forms inside a real project, after arguing with someone who sees things differently, renegotiating the division of labor, watching someone nearly give up, and still finishing together. That capacity isn’t taught. It’s earned under pressure.
So when I see a design like “8 classes of AI literacy per school year,” I admire the ambition and worry at the same time. A classroom can deliver knowledge. But those harder-to-come-by practical capacities are beyond what classroom hours can deliver.
It’s the Old Scale-Versus-Depth Problem in New Clothes
Task-based learning has its own limits.
Authentic tasks depend heavily on family resources and adult involvement. In “The Hidden Ledger of Education Innovation”, I did the accounting: one summer’s worth of authentic project work required over 140 hours of adult engagement behind the scenes. That density of support is not something every family or every school can sustain. If we only advocate for task-based learning and ignore curriculum-based approaches, we risk turning good education into a privilege for the few.
So curriculum-based and task-based learning are two sides of the same old dilemma: scale or depth? Curriculum-based approaches serve scale; task-based approaches serve depth. The hardest challenge in the AI era isn’t picking a side. It’s figuring out how to connect the scale that curriculum-based delivery achieves with the depth that task-based learning produces, so that more kids who can access AI education also have a real chance to grow their capacities inside authentic tasks.
The Flip Opened a Door. Climbing Is the Work of the AI Era.
Back to those two words. Ten years ago I talked about flipping. Now I want to talk about climbing.
Flipping is about opening a door. Kids are no longer defined solely by a standard curriculum, and AI has made knowledge and answers extraordinarily cheap. That’s a good thing. A door has been opened.
But climbing is what happens after the door opens. When answers are readily available, what becomes scarce is different: thinking through an ambiguous problem, collaborating with people whose strengths differ from yours, integrating things in the middle of chaos and uncertainty, taking responsibility for your own choices. These are things AI currently cannot replace, and they are precisely what authentic tasks grow.
So what do kids need to climb in the age of AI? More than learning to use tools, the tools will keep changing. It’s about growing, in a world where answers are cheap, the capacities that AI won’t devalue: judgment, collaboration, accountability, and the will to turn an idea into something real.
In my overview piece “From Flip to Climb”, I said that the heart of education is helping children encounter the real world. AI hasn’t changed that. Literacy still only grows slowly through practice. Skills go out of date, but genuine capacity, once formed, becomes character, something that accompanies a child for a long time, and may well shape the course of their life.


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