Over the past year, the landscape for AI in K-12 has matured quickly — not just in the number of tools available, but in who is building with AI, how they are deploying it, and where innovation is actually happening.
This shift drove a deliberate structural change in how we’ve approached this year’s market map update: rather than attempting to capture the entire ecosystem in a single view, we’ve split the landscape into two complementary maps.
Tracking AI-native companies in K-12 — those born with AI at their core — categorized by use case as in previous editions.
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The second is entirely new, tracking incumbent companies across Edtech, Big Tech, and Education Providers who have moved swiftly to support AI in K-12 use cases.
Established players are no longer on the sidelines, and they deserve a map of their own.
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Why Separate AI-Native Startups From Incumbents?
In previous versions, we highlighted top players by instructional use case across the full market. Over time, that approach became less informative. Comparing AI-native startups directly alongside incumbents with massive distribution, brand recognition, and existing institutional relationships increasingly obscured what was actually changing in the market.
The result risked over-representing scale while under-representing innovation intensity — particularly when incumbents could rapidly deploy AI features across large user bases, even as startups pushed the frontier in more focused or experimental ways.
This year’s update reflects a methodological shift designed to provide a clearer, more future-oriented view. By separating AI-native activity from incumbent adoption, we aim to make each map more internally coherent — and more useful for understanding different modes of progress in K–12 AI.
A Clearer Distinction Among Incumbents
Rather than treating all incumbents as a single group, the updated map distinguishes between three categories of organizations now engaging meaningfully with AI in K–12:
- EdTech companies incorporating AI, such as Duolingo and Khan Academy
- Big Tech companies moving into education, including OpenAI and GoogleEducation
- Providers such as Pearson and HMH that are deeply embedded in formal education systems and now layering in AI capabilities
This distinction helps clarify how different types of incumbents approach AI adoption, shaped by their existing customers, distribution channels, regulatory exposure, and operating constraints.
Mapping Features, Not Just Companies
Previously, companies were mapped to a single primary use case. That framing increasingly breaks down as incumbents expand AI horizontally across products. Many now serve multiple instructional and operational needs using a shared AI foundation. By contrast, many AI-native startups remain intentionally focused on narrower, specialized problems — a dynamic better captured in the separate startups map.
To reflect this shift, the incumbents map highlights notable AI features across use cases, rather than assigning each organization to a single category. This approach is not intended to be comprehensive. Instead, it surfaces where incumbents are most visibly and strategically deploying AI today — particularly across student support, teacher practice support, assessment, and content creation.
What the Incumbents Map Reveals
Student support and teacher practice support are the most common entry points for incumbents integrating AI.
Within student support, activity is heavily concentrated around chatbots and AI-powered tutoring, reflecting scalable, always-available assistance models
Big Tech companies are investing more visibly in teacher upskilling, through professional learning resources, onboarding, and usage guidance
More experimental or emerging applications continue to develop outside the center of gravity created by large platforms, captured in the separate AI-native map
You can email us at info@edtechinsiders.org.