Can AI become a school's operating system?
Adding more apps and screens to the school experience makes the heart race, but not in a good way.
Note: This is the next post in a series oriented towards predicting what teaching with AI will look like in 10 years. Read the first, second, third, and fourth posts. In each post, I look at a different way that AI may help teachers improve their practice. Each post includes a few resources to apply the concepts today.
In Dave Eggers’ dystopian novel The Circle, Mae Holland lands a dream job at a prestigious Bay Area tech firm. On her first day, she’s given a laptop and two monitors. She’s introduced to “the feed,” a stream of customer tickets she’s expected to resolve with a smile. It seems manageable.
Then comes the “and another thing.”
Overnight, a third monitor appears so she can network with colleagues. Then a fourth for social media presence, to prove she’s thriving. Mae isn’t forced to use them, but the implication is clear: to be disconnected is to be failing. By the end, she is drowning in a sea of glowing rectangles, her humanity partitioned into a thousand different digital tabs.
Reading The Circle made my heart race. I recognize that specific brand of anxiety because I see it every time I walk into a K-12 school. We’ve built our own “Circle,” but we call it an EdTech ecosystem.
The 3,000-Screen Problem
According to the 2025 EdTech Top 40 Report, the average U.S. school district now accesses 2,982 different tools over a single school year.
Like Mae at her desk, the modern teacher is constantly flipping. They flip from the Student Information System (SIS) to the Learning Management System (LMS); from a spreadsheet of disciplinary referrals to a notepad of handwritten parent concerns; from a literacy app to a math diagnostic.
These tools rarely speak the same language. They are islands of data. This isn’t just a technical glitch; it’s a systemic failure of coherence. We’ve bought the apps, but we’ve forgotten to build the system. This lack of interoperability is a symptom of a larger issue, incoherence.
The Human Data Router
When learning is organized around the parameters of disparate classroom experiences and apps—bell schedules, platform settings, and siloed dashboards—the student experience becomes fractured.
A student spends 20 minutes on an adaptive math platform, walks down a hallway, and logs into a literacy tool. The insights from the math tool don’t inform the literacy tool. Neither informs the LMS. And almost none of this digital footprint captures the student’s social development or emotional state.
This leaves teachers and administrators to act as human data routers. They spend their nights manually synthesizing information from a dozen dashboards, trying to infer the whole child from a collection of broken parts.
When I worked as an implementation lead for early warning systems, I regularly met with teams from middle and high schools that wanted to bring about meaningful improvements in high school graduation rates. Their schools had invested heavily in data systems and tools to automate reporting about students. However, these tools and data dashboards were often useless unless the right people in the building were having conversations about the students listed in the reports. No tool could answer the question about which adult in the building had a trusting relationship with a chronically absent student. Without a clear picture of the student and their academic and social experiences in one place–with the right people in the room–the school could only approach the situation with part of the bigger picture. When I would ask the school about how they viewed data about groups of students or the entire school as a learning community, I would often learn that this never took place. The schools had never taken the approach of viewing their data from a systems level.
The Operating System Deficit
In computing, an Operating System (OS) is the layer that manages resources and allows different applications to work together. Without an OS, a computer is just a pile of expensive, disconnected hardware.
K-12 education has the hardware. It has the buildings, schedules, and apps. But it has never had a true Operating System. We’ve tried to force the LMS (Canvas, Google Classroom) into that role, but those are content delivery systems—post offices, not brains.
This leads us to the critical question: Can AI become the school’s operating system?
AI as the Connective Tissue
Imagine shifting from a fragmented island model to an intelligent core. In this vision, AI isn’t just another tool on the desk; it is the orchestration layer that makes the other 2,982 tools meaningful.
Unified Data Intelligence: Instead of 3,000 silos, an AI OS ingests data from every touchpoint—attendance, behavioral logs, extra-curriculars, and climate surveys. It creates a 360-degree, longitudinal profile. It doesn’t just report a failed quiz; it notes that the failure followed a weeklong absence that began right when the student missed the foundational lesson on ratios.
The Universal Interface: Teachers shouldn’t have to be data scientists. They should interact with one AI agent that surfaces the most critical insights across the ecosystem: “Which students are struggling with ratios in both their homework and their science lab?”
Automated Personalization: An AI OS can trigger actions across platforms. If a student shows mastery in one app, the OS can automatically suggest advanced, project-based learning in another, ensuring the student is always working in their Zone of Proximal Development.
The Path Forward: From Managers to Mentors
The ultimate goal of an AI OS isn’t just efficiency; It’s the restoration of the human element in education.
When a system is fragmented, humans must spend their precious cognitive energy fixing the technology. Teachers spend prep periods wrestling with spreadsheets, resetting passwords, mining emails to connect with parents, and hunting for data points. We have turned our most talented educators into administrative clerks.
By implementing an intelligent OS, we offload the logistical burden of coherence to the machine. When the technology is integrated, the humans are finally free to do what machines cannot: build relationships. An AI OS can tell you that a student is struggling, but only a teacher can understand why. An AI can suggest a personalized lesson plan, but only a mentor can inspire the confidence to attempt it. The AI OS makes human connections intentional instead of sporadic.
We are currently at a crossroads. We can continue to add more screens to the desk, more apps to the tablet, and more silos to the district, effectively building our own “Circle” of burnout and incoherence. Or, we can build a new foundation. We can move past the era of the app and into the era of the system, where technology finally serves as the quiet, invisible engine that allows teachers to get back to the work of being human.