AI is everywhere. Literacy isn’t.

Students and mentors gather around a table during a Mission Bit coding workshop and project showcase, reviewing student-built technology projects and collaborating on computer science activities in a community learning space.San Francisco, California — May 2026 — Artificial intelligence is already shaping how people learn, build, and work. It appears in classrooms, search engines, creative tools, and the everyday software many people rely on without thinking twice.

For students, AI is not some distant future technology. It is already part of the world they are growing up in.

But while access to AI tools is increasing, education is not always keeping pace. Many young people are encountering AI through homework shortcuts, viral content, or trial and error, often without the context needed to understand how these systems work or how to use them responsibly.

Exposure alone is not the same as literacy.

Mission Bit CEO Christina Ortega sees that gap firsthand:

“The misconception right now for a lot of students… is that they just know ChatGPT… they just know that it’ll help you with your homework,” she explained. “There’s so much more to AI that students don’t know about.”

That growing disconnect between access and understanding is part of why AI has become a larger focus across Mission Bit’s programs.

Addressing that gap matters because AI is quickly becoming part of how work gets done across industries.

Rohan, a Mission Bit board member who works at Vercel, described using AI tools to review code, summarize calls, and move projects forward more efficiently. He also demonstrated how quickly an idea can become something tangible, generating a working website from a simple prompt in minutes.

“It’s a tool… and an enabler. It is not a replacer.”High school students present coding and technology projects during a Mission Bit Demo Day event beneath a “Helping build a better Internet” sign, showcasing hands-on computer science learning and project-based education.

His perspective reflects a broader shift. AI is helping people move from idea to execution faster than before, lowering barriers that once made building feel out of reach.

Sam, a long-time Mission Bit board member who works in AI enablement at Cognition, sees that same shift at an enterprise level. Working with large companies adopting AI systems, he emphasized that these tools are changing workflows by taking on repetitive tasks and freeing time for more meaningful work.

“There’s gonna be 10x to 100x more software in the world.”

As AI becomes more common, the amount of technology being built is growing, not shrinking.

If AI is becoming part of everyday life, then students need more than access to the tools themselves. They need AI literacy.

AI literacy can mean many things, but at its core it includes knowing how to ask better questions, evaluate outputs, recognize errors, understand limitations, and stay in control of the process.

Rohan put it simply:

“You’re still the supervisor… you keep in charge of what’s happening.”

Sam described the same idea through how professionals use AI effectively: planning what they want to build, using AI as a thought partner, and verifying that what it produces actually works.

Students and community members collaborate on laptops during a Mission Bit technology showcase and coding event in San Francisco, exploring student-built projects and interactive computer science activities.“Using it as a thought partner, planning work, and then verifying work… those are the three areas that I see where it’s extremely valuable.”

In other words, the human role does not disappear. It actually becomes more important.

This is another gap most AI education is missing, and one Mission Bit’s Intro to AI class is designed to address.

Rather than treating AI as a trend or a shortcut, the course introduces students to AI through building, experimentation, and critical thinking. Students begin by developing their own project ideas, using AI tools to bring them to life, and learning how small changes in input can shape entirely different outcomes.

From there, they explore how AI systems work more broadly, how they are applied across industries, how bias and data choices affect results, and where these tools succeed or fall short.

Ethics is not separated into a single lesson. It is embedded throughout the course, giving students the chance to think about responsibility as they build, test, and evaluate their work.

The goal is not passive consumption, but active participation.

That balance is especially important now. AI will likely shape future careers, communication, and creativity in ways that are still unfolding. Students deserve more than trial-and-error access to those changes.

They deserve guidance, confidence, and the chance to understand the systems shaping their future.

At Mission Bit, that means making sure students are not just using AI, but learning how to build with it thoughtfully, creatively, and with purpose:

“Just having a structured way for them to know that really, truly with AI, anything is possible.” – Mission Bit CEO Christina Ortega

 

Explore the Intro to AI class and see what you can build.

Support equitable access to AI education for Bay Area students.