The gap between what AI can do and what students need.
AI is arriving in classrooms whether schools are ready or not. The danger is that some are rushing in without asking what AI can do well, what teachers uniquely bring, or what students actually need.
We don't know the right way for AI to enter the classroom.
Most of us built our critical thinking, writing ability, and judgment without AI, which is what allows us to use it well now. We direct it rather than defer to it. Students who lean on AI too early can short-circuit those skills before they form.
It's a safe bet that AI can improve how people learn. But we don’t yet know how. The field fundamentally lacks research into the right ways to integrate AI into the classroom.
And the technology to support it is lacking.
Ed tech companies build the apps teachers and students use. The big AI labs build the underlying models that power these apps. What’s missing is the layer in between: the foundational capabilities that let AI understand what a student knows, measure skills as complex as critical thinking, and adapt to what’s happening in a real classroom.
Fear is fueling a backlash that could leave students worse off
Parents and teachers are alarmed. Some districts are pushing screens and AI out of schools entirely. This instinct is understandable – but both extremes carry real costs. Letting AI take over the classroom would stunt student learning and hollow out the relationships it depends on. Yet pushing AI out altogether leaves students unprepared for a world that already runs on it.
We're on a mission to bridge this gap.
The gap exists because frontier AI and classroom learning operate on different timelines and constraints. Our work closes that gap by creating the infrastructure that lets them work together—safely, effectively, and in service of what students actually need to learn.
Research what students need
Test what AI can do
Build the bridge between them
