The Best AI in Education is the AI You Don't Notice

At this year’s ASU+GSV, education and technology leaders wanted to know: what does it look like when AI stops being a tool you open and starts being infrastructure you barely notice?

I joined a panel called AI as Air: When Learning Becomes Ambient alongside Chris Clark from Salesforce, Charles Elliott from Google, and Min Sun from Colleague AI, to answer just that. We spent less time on what AI can do and more time on what's actually blocking it from working on campuses: student trust, governance gaps, data ownership, and the tension between giving teachers intelligence and making sure they don't hand over their judgment.

What happens when schools hear "AI tool"?

Before you can even talk about integration or interoperability, there's a more fundamental problem. There is no AI governance on most campuses. A UNESCO study released in 2025 found that one in three institutions globally has no AI governance at all and no guidelines for how AI should or shouldn't be used.

We see this constantly. Schools come to us ready to deploy AI infrastructure across a campus and assume the hard part will be the technical rollout. We've scaled across a campus in a matter of weeks. The hard part is whether the campus has governance in place that students, faculty, and staff are all aware of: what's acceptable, where the guardrails are, what the institution's actual position is on AI use.

A Gallup and Lumina Foundation study released this year found that 53% of students say their institutions either discourage or outright ban the use of AI. In that same study, 57% said they're using AI for coursework weekly. One in five said daily.

Students are already using AI constantly, but their institutions haven't caught up. So when a school introduces a new tool and leads with "this is AI," students hear "this might get me in trouble," and faculty hear "this might help them cheat."

“There's this giant gap between where students are actually at with AI right now and how they're using it and what schools think is happening and their stance on AI. And that gap widens on a daily basis.”

Charles from Google drew a useful parallel on the same panel. Google Maps has a ton of AI built in, but nobody opens it thinking, "I'm using an AI tool." On a recent trip, the AI figured out that the weather would impact his travel and rerouted him. The AI is useful because it's invisible. Same principle on campus.

So what does it look like when AI actually works on campus?

It looks like the tool students don't think twice about opening and faculty don’t think twice about encouraging.

Nectir is currently leading the largest AI deployment in the nation with the California Community College system: 2.1 million students and 116 community colleges across California. That implementation surfaced a clear pattern.

"The number one outcome of whether an AI tool is successful in the classroom or campus right now, from our data, is whether it's integrated properly in the LMS or not."

The LMS is the one tool every student already opens every day, whether they like it or not. When Nectir is framed inside the LMS, students don't open "an AI tool." They open their course page and get help. There's no separate login or new app to download. The Assistant lives where the coursework lives, grounded in the instructor's own materials.

For right now, the LMS is the one tool every student opens every day. Meeting them there is how you close the gap between a great product and one that actually gets used.

Why does "invisible" AI work better than "AI-first" branding?

Because the underlying ask from campuses was for help, not AI.

Min from Colleague AI described this from the K-12 side: AI that learns about students and content, then gives teachers recommendations they can act on. The teacher still makes the call. "It should be embedded into your workflow... It doesn't need to be like you are aware that AI exists constantly. At the same time, it's no longer just collecting data. It actually gives you intelligence."

When the AI is invisible, adoption follows naturally. Students don't have to decide whether they're "allowed" to use it. Faculty don't have to take a political stance on AI in their syllabus. The tool just works, inside the system everyone already uses.

"We'll know that it's ambient when we don't notice that it's AI anymore. You're just doing the thing faster and better than you could have ever done it before. And products and vendors like Nectir are not advertising their tool as AI. They're just advertising it as a solution. What are they gonna come fix for you on your campus?"

What does it mean for student data when AI becomes invisible?

When AI is embedded invisibly in a student's learning environment, they start using it the way they'd use a trusted friend who happens to know everything about their coursework. They ask the questions they'd never bring to office hours: the embarrassing ones, the panicked ones, the ones about financial aid deadlines and lost scholarships and not having attended a single lecture all term.

That means the data has to stay with the student.

"The student has to feel like there's no one looking over their shoulder at the kinds of questions that they are asking... We're not ever going to surface those conversations in entirety to the faculty, staff, or admin of that campus. And that's a really strong position that we take."

If students don't trust that the space is private, they won't use it. And then you're back to the same gap: students who need help but won't ask for it.

What should edtech learn from this?

The products that will actually get used on campus are the ones that solve a problem so well nobody stops to ask whether AI is involved. That means living inside the systems students already use, giving schools clear governance before the tool shows up, and keeping student conversations private so they'll actually ask the questions they need answered.

Listen to our full session here:

Frequently asked questions about Nectir AI

What is Nectir AI? Nectir AI is AI infrastructure built for schools. It gives colleges, universities, and high schools the ability to deploy AI Assistants across their campus that are fully controlled by faculty and administrators, built into existing learning management systems, and compliant with FERPA and SOC 2 standards. Nectir is trusted by 80,000+ students across 100+ campuses, including a partnership with California Community Colleges, which serves 2.1 million students across 116+ campuses.

Why does the "invisible" approach matter for adoption? When AI tools require a separate login or a new app, most students won't bother. When the same tool is iframed directly inside the LMS course page, grounded in the instructor's own materials, students use it without thinking about it. Nectir's data from the California Community Colleges showed this was the single biggest factor in whether an AI tool actually got used on campus.

How does Nectir protect student conversations? Student interactions with Nectir AI Assistants are private. Nectir does not surface those conversations to faculty, staff, or administrators. The platform is fully FERPA- and SOC 2-compliant, with guardrails that faculty control. Students get a space where they can ask anything without worrying about who's watching.

How can I learn more about Nectir?

Want to see what AI support looks like when it's built into the tools your campus already uses? Schedule a demo, and our team will walk you through how it works at schools like yours.