Code.org Has Become CodeAI

The world has changed, and so has our work. AI is now central to every student's future — and to every classroom, career, and community. Our new name reflects that reality. CodeAI is the same organization, with the same commitment to every student, updated for the moment we're actually in.

Because the gap between how AI shapes students' lives and how much they understand about it is already a crisis, and it's compounding by the month. 84% of students use AI; but only 16% of public high school leaders reported that students were taught technical knowledge of how AI actually works. The labor market is already repricing around AI skills. Every month we wait is a month students spend learning to use tools they don't understand, in a world that will pay them to understand. Code.org spent over a decade building the infrastructure to teach computer science at a national scale: We trained teachers, implemented curriculum, and worked to change education policy in every state. That infrastructure is exactly what educators need to teach digital fluency, and there isn't another organization with it. Waiting isn't neutral. It's a choice to let the divide harden.

The world is now largely digital. Every student needs digital fluency: the ability to understand how the technology driving their world works, direct it, question it, and create with it. Without it, they're consumers of a technology shaping their lives, instead of the ones deciding what it's for. They’ll be underprepared for the careers, the choices, and the decisions ahead in an AI-influenced world.

We believe digital fluency encompasses three equally important disciplines: AI science, computer science, and data science. Advancing this knowledge is what CodeAI exists to do. We teach the digital fluency every student needs, in every classroom, regardless of zip code.

No. We've been building toward this for years. We co-founded TeachAI in 2023 with ETS, ISTE, Khan Academy, the World Economic Forum, and leading education organizations to set the global direction for AI in schools. Our AI Foundations curriculum is already in high school classrooms. Our teacher training has included AI-focused content for years. The rebrand is a consequence of what we already are, not a pivot to what's trending.

CodeAI is for every K-12 student, and for the teachers, schools, and districts that serve them. That includes students in well-resourced districts with established CS programs and students in rural, underfunded, or first-generation classrooms where no one on staff has a CS background.

No. We don't allow any student data, student inputs, or classroom activity to be used to train commercial AI models. We adhere to strict student data privacy standards. We do not sell any personal information or exploit it for financial gain. We minimize the data we collect to only what's needed for the learning experience, and we teach students to understand and question how other AI systems use data. Privacy is a first-order design principle in every product we build; not an afterthought.

Three things. First, scale. We've spent over a decade building the only national infrastructure for computer science education: 3M+ teachers, 100M+ students, 350+policies passed globally. Most AI education programs are starting from zero. We're starting from the position it takes to actually reach every student. Second, depth. Most AI programs teach students how to use AI. The students who lead from here will be the ones who understand what is happening underneath — how AI actually works, how to direct it, when to question it, and what to create with it. The ones who decide what it's for. That is the digital fluency students need: built on computer science, AI science, and data science. That is what CodeAI exists to do. Third, access. Our curriculum is free. Our tools work in every type of classroom. Our mission is to reach students who would otherwise be left out of this shift, not to serve the ones who would have found their way to digital fluency anyway.

Code.org is evolving into CodeAI. The work, the curriculum, the partnerships, and the people remain. What’s changing is the name on the door, because the work has grown beyond what "Code.org" signals on its own and beyond where our students need us to be.

CodeAI builds curriculum, trains teachers, advocates for policy, and develops tools that help students understand how AI works, how to direct it, how to question it, and how to create with it. We believe digital fluency is a new foundational skill, and we exist to make sure every student has access to it.

Using AI is easy. That's the point of it, and that's also the problem. When a tool does the thinking for you, you stop building the thinking. Students who only use AI get faster at getting answers. Students who understand AI get better at asking questions, spotting when the answer is wrong, and knowing what to do next. Digital fluency is the difference between a student who can prompt a model and a student who understands what the model is doing, where it fails, and why. That's what we teach. Not how to use AI, but how to understand it, direct it, question it, and create with it.

Computer science provides the substrate — data, algorithms, logic, and systems design — that makes understanding AI possible. But AI has grown into its own field, AI science, and it raises its own questions: how models are trained, where bias comes from, and what it means for a system to learn and act autonomously. Data science is what lets students question what AI produces, by understanding the data that fuels AI outputs in the first place. Together, these three disciplines give students the foundation to understand AI — not just use it.

We're an education organization, not a political one. For over a decade, we've worked across the aisle and across ideologies to make computer science education available to every student in every state, and we bring the same approach to this next chapter. Access to this education shouldn't depend on who's in office or what zip code a student lives in. Furthermore, we teach students to ask hard questions about AI, understand its trade-offs, and think critically. We don't tell them what conclusions to reach.