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.

No. Every dollar continues to fund the same mission and, in most cases, the same programs you already support. What changes is the leverage on your investment. The infrastructure you helped build (trained teachers, state policy relationships, curriculum in every district) is now the delivery system for AI education at a moment when no other organization can move this fast or reach this many students. Your investment isn't being redirected. It's compounding.

Yes. Every current program, partnership, and multi-year commitment continues under CodeAI. If you've funded a specific initiative, that work is intact and, in most cases, expanding as the AI side of the curriculum comes online. Your program contact can walk you through exactly what's changing and what's not for your specific investment.

Two reasons, and they reinforce each other: The first is timing. The rules of AI in education (what gets taught, who gets access, what counts as quality) are being written right now, in classrooms, districts, and state legislatures. In five years, those defaults will be locked in. Philanthropy moves the defaults today or lives with them for a generation. The second is the equity gap. Without intervention, wealthy districts will get digital fluency and everyone else will get AI policing. Every student using AI without understanding it is a student handing the next decade of economic mobility to someone else. Donor capital is what closes that gap before it hardens, and it's the only form of capital that can. The market won't do it. The federal government won't do it fast enough. Philanthropy is the tool built for exactly this window.

We need capital to build what the next five years will require. That includes the full K-12 AI curriculum pipeline, frameworks that stay current as the field moves, teacher readiness and district implementation at the scale this moment demands, policy leadership at the state and federal level, international expansion into markets where no CS infrastructure exists, and the research partnerships that will define what quality AI education looks like. This is earlier-stage, higher-leverage work, and it's where visionary donors can make the most durable mark.

To start, the curriculum you've been using isn't going away. CodeAI builds directly on what you already teach. If you've been teaching data, algorithms, or problem-solving, you've been laying the groundwork for digital fluency. And if you’ve been using our curriculum for awhile, you’ve already been seeing us increasingly incorporate AI education into our courses and activities. This rebrand means we're giving you more tools, clearer language, and stronger support to bring this into your classroom with confidence.

Yes! All existing Code.org courses remain available and will continue to be supported. We're expanding our AI-specific content and updating existing courses. Nothing is being removed. You'll have more to work with, not less.

Absolutely. CodeAI is designed for teachers, not AI engineers. Our curriculum breaks down AI concepts into age-appropriate, accessible lessons that don't require prior AI expertise. We also provide professional development to help you build confidence at whatever pace works for you.

Some people use "AI literacy" to mean exactly what we mean by digital fluency — deep understanding of how AI works, not just how to use it. Others use it to mean surface-level tool skills: prompting, getting answers, moving on. We focus on the substance, not the term. Whatever you call it, the floor is students who can use AI tools and get answers. The ceiling — what we're working toward — is students who understand how AI systems actually work, why they produce what they produce, where they break, and how to build with them. That's digital fluency: the ability to understand AI, direct it, question it, and create with it. That's what gives students real agency.

We help teachers design learning experiences where AI becomes a tool for deeper thinking, not a shortcut. Our curriculum includes honest conversations about when to use AI, when not to, and how to verify what it produces. You stay in control of the classroom; we give you the framework to lead the conversation.

Yes. CodeAI offers professional development (both online and in-person!) to help teachers navigate this at every level. Whether you're brand new to the topic or looking to go deeper, there's a pathway for you.

We'll provide clear guidance on any domain changes, URL updates, or system integrations that need attention before, during, and after the transition. Nothing will break without notice. If you manage SSO, rostering, or LMS integrations tied to Code.org, watch for transition communications with specific timelines and technical instructions.

Yes — and we'll maintain redirects for an extended period to ensure continuity. Student and teacher accounts will not require re-setup. We'll publish a technical transition guide with specific information on domain changes, redirects, and what (if anything) needs to be reconfigured on your end.

Our data privacy standards are unchanged by the rebrand. We do not sell student data, we collect only what's necessary for educational use, and we comply with FERPA, COPPA, and state-specific student privacy laws. If your district has a current Data Processing Agreement (DPA) with Code.org, that agreement will be updated to reflect CodeAI and remain in effect. Contact [email protected] for specifics and any questions.

Any AI features integrated into CodeAI products are designed with student safety and data minimization as core requirements. We don't expose students to open-ended AI systems without appropriate safeguards. We'll publish documentation on each AI feature's data handling, third-party dependencies, and privacy controls before rollout. IT staff will have time to review and raise concerns before broad deployment. Integrity and transparency are core values of our organization, so all of the source code that powers our learning platform and our curriculum is open source.

You can update the vendor name from Code.org to CodeAI. All privacy and security certifications will be updated and made available in our documentation. We'll also provide updated CSP (Content Security Policy) entries and IP allowlist information if your district filters outbound web traffic. A technical FAQ and updated vendor documentation will be published at code.org.

Your existing support contacts remain the same. You can also reach the technical support team at [email protected]. We'll set up a dedicated IT transition resource page with timelines, documentation, and a direct escalation path for urgent issues.

CodeAI teaches students how AI works: the data, the patterns, the decisions built into these systems, and where they fail. A lot of that happens through carefully designed activities, age-appropriate lessons, and teacher-guided exploration, not through putting students in front of any external AI tool. When students do encounter AI systems in our curriculum, it's in structured ways designed for learning, with privacy and safety built in. But the core of our work isn't exposing students to AI. It's building the understanding that empowers them to navigate a world already full of it.

Yes, when it's designed for them. For younger students, our curriculum foundation is in computer science and programming: the concepts that underpin how AI works. These are the building blocks, and they're developmentally appropriate. We’ve created a few short AI-focused activities for younger students to try, like AI for Oceans (which runs a machine learning model that’s trained by the student) or Dance Party: AI Edition and Mix & Move with AI, both of which use real responses from a generative AI model — but the responses were written in advance and reviewed by our team of curriculum developers to ensure appropriate content. In other words, students get authentic exposure to how AI actually works, in safe environments that we've built from the ground up for their age group.

CodeAI prioritizes the privacy and safety of all users. We collect only what's needed for educational use — and we never sell student data. CodeAI complies with federal and state student privacy laws, including FERPA and COPPA. If your school uses CodeAI tools, they'll have a data agreement in place. If you have questions about what's collected, your school or district IT team can share the specifics.

Your concern is the exact reason this work matters. A student who uses AI without understanding it does stop thinking for themselves, because the tool does the thinking for them and they never build the muscle. That's not a hypothetical. It's already happening in classrooms where AI showed up before the curriculum did. CodeAI is designed to prevent that outcome. We don't teach students to use AI. We teach them how it works, where it fails, and what it's doing underneath the output. Students who understand AI ask sharper questions, spot wrong answers faster, and know when to trust a system and when to override it. That's more thinking, not less.The students who stop thinking are the ones using AI without an education like this one. The students who get this education are the ones who learn to understand AI, direct it, question it, and create with it.

Ask them what AI is doing under the hood, and you'll start to hear the answer. Students in CodeAI classrooms learn how data shapes what AI produces, why models get things wrong, how algorithms make decisions, and what AI can and can't do. They'll work on projects that involve building with AI, not just using it, because understanding a system from the inside is different from interacting with it from the outside. The best way to follow along at home is to ask: “What did you teach the AI today? Where did it fail? What would you do differently?” The answers will tell you more about how your child is thinking than any progress report can. And you'll probably learn something too!

For questions about CodeAI's curriculum or tools, reach out to your child's teacher or school technology coordinator. For questions about data privacy, contact your school or district's IT department. For general information about CodeAI, visit code.org.

Using AI is easy. That's why everyone can do it, and that's why it won't make you stand out. The kids who already know how to prompt a model are all competing for the same thing: being good at using a tool anyone can use. Understanding AI is the move. When you know how a model works, how it is trained, where it fails, and what's happening underneath the output, you stop being a user and start being someone who can understand it, direct it, question it, and create with it.

It's going to change almost every job, which isn't the same thing. Some jobs might disappear, some will be created, and most of the ones that stick around will look different than they do now. We think the students who have digital fluency built on computer science, AI science and data science will be the most prepared for this shift.

It can, and if you let it, you're the one who pays for it. Not because you'll get caught (though you might), but because the whole point of homework is the thinking, and if you outsource the thinking, you don't get smarter. You just get faster at producing work you don't understand. Part of what CodeAI teaches is when AI actually helps you learn, when it's getting in the way, and how to tell the difference.

You'll learn how AI works under the hood: how it's trained on data, how it makes decisions, where bias comes from, and what the ethical trade-offs are. That means digging into AI science, computer science, and data science — the three fields that together explain what AI actually is and why it does what it does. You'll also get to create things — not just use AI, but direct it, build with it, and think critically about it. By the time you finish our high school courses, you'll understand AI well enough to make it do what you want, catch it when it's wrong, and build things yourself that would have required a whole team of engineers five years ago.

CodeAI is an education organization. We don't take positions on AI platform regulation, employment law, or such. Our policy work is focused specifically on education: ensuring that every state has quality standards, that teachers have access to training, and that every student — regardless of zip code — has access to these foundational skills. That is our lane, and we stay in it.

Because the rules are being written now — in classrooms, in state legislatures, and in district policy. If states don't act, students in some schools will fall further behind, while other schools that have better funding or are more open to innovation start to invest in digital fluency curriculum and teacher training. If access is uneven, opportunity will be uneven. This is the window to get it right.

Three things: standards that define what this education looks like and require it for all students; funding that reaches teachers and districts that need support most; and graduation pathway policies that recognize this as a foundational credit, not an elective. We're happy to support staff briefings, provide model legislation language, or connect you with teachers and students in your district who can speak to the impact firsthand. The following are our ten policy ideas to make digital fluency foundational to K-12 education:

1. Create a Statewide Plan and School Guidance for K–12 Digital Sciences Education

2. Establish K–12 Digital Fluency Standards

3. Establish Dedicated Digital Science Positions in State Education Agencies

4. Maintain Data, Reporting, and Accountability for implementation of the Digital Sciences

5. Require All Students to Take a Digital Science Course to Earn a High School Diploma

6. Allow Digital Sciences to Count Toward a Core Graduation Requirement

7. Require All Schools to Offer the Digital Sciences

8. Allocate Funding for Rigorous Teacher Professional Learning

9. Implement Clear Credentialing and Recognition Systems for Educators

10. Create Programs for Preservice Teachers to Gain Exposure to Digital Sciences

Yes. We work with legislators across the political spectrum who share a commitment to educational equity and student readiness. Our message is consistent regardless of party: every student deserves digital fluency — the ability to understand, direct, question, and create with the AI now shaping their world. We don't make endorsements, and we don't take sides in political debates outside of K–12 education.

Your relationship, agreements, and implementation plans continue without interruption. CodeAI is the same organization — same team, same mission, same commitment to your teachers and students. Any contracts, MOUs, or data agreements will be updated to reflect the new name, and your account team will reach out with specifics. Nothing requires action from you right now.

Our approach is aligned with CSTA K-12 standards and is designed to complement existing state standards frameworks. We're actively working with state education agencies on AI-specific standards guidance, and we can provide alignment documentation for your state upon request.

We recommend starting with teacher professional development and a clear scope and sequence across grade bands. CodeAI offers turnkey curriculum, PD, and ongoing support. For districts just starting, we suggest a pilot cohort of teachers in one or two schools, with a clear evaluation plan built in. We'll work with your instructional team to identify the right entry point based on what you already have in place.

We provide districts with usage data as well as robust evaluation designs — including pre/post assessments of student knowledge.