Out Now: The Updated Edtech Insiders K-12 Generative AI Market Maps
Our K-12 AI market maps are back, and this year, we made two of them. Here's what's new and why we changed our approach.
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Out Now: The Updated Edtech Insiders
K-12 Generative AI Market Maps
View the original release and our previous update for The Edtech Insiders K-12 Generative AI Market Maps.
Today, we’re launching the latest installment of the Edtech Insiders K-12 Generative AI Market Maps. This year, you’ll notice something new: there are actually two maps.
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.
The first is a refresh of our previous map, tracking AI-native companies in K-12 — those born with AI at their core — categorized by use case as in previous editions.
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. The addition of this map reflects a significant shift in our sector: large, established players are no longer on the sidelines, and they deserve a map of their own. We’ll dive deeper into what this all means below.
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 Google
Education 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
We also updated how activity is visualized across the incumbents map.
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
Several high-level patterns stand out:
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
A Living Map, Not a Definitive One
As with last year, this incumbents market map is not meant to be exhaustive or prescriptive. It is a snapshot of a fast-moving ecosystem, shaped by ongoing feedback from founders, educators, investors, and researchers across the field.
We hope this updated view — alongside the separate AI-native startups map — challenges how you’ve been thinking about the K–12 AI market, and helps you use each map more intentionally in your own work. As always, we welcome feedback, suggestions, and critiques as we continue to refine and expand this resource. You can email us at info@edtechinsiders.org.
Upcoming Events
The Future of AI Tutoring: Building What Actually Works
AI tutors aren’t coming—they’re already here. Millions of learners use them every day, but what does the evidence actually say about their impact on learning?
In this upcoming Edtech Insiders webinar, leaders from major technology companies and edtech startups will unpack what’s working in AI tutoring today—and what needs to change to ensure these tools deepen understanding rather than replace thinking.
Join us live, or register to receive the recording!
The State of AI Adoption Across K-12, Higher Ed, and Government in 2026
Where are K–12 districts, colleges, and government agencies actually using AI in 2026 — and where is adoption stalling? Join this live conversation for a data-driven look at real AI adoption across the public sector, grounded in public records and candid insights from leaders at ISTE+ASCD, OU Education Services, ASU Preparatory Academy, San Carlos School District, and Starbridge.
Join us live, or register to receive the recording!
Top Edtech Headlines
1. Anthropic Takes Big Step in AI Race to Reshape College Coding Courses
Anthropic has partnered with nonprofit CodePath to embed its Claude AI tools — especially Claude Code — directly into computer science curricula at hundreds of community and state colleges. The initiative aims to modernize how students learn coding by giving them hands-on experience with industry-grade AI assistants, particularly serving historically underserved and low-income learners and positioning AI fluency as a core skill for future software careers.
2. In-school supervised EdTech support produces massive learning gains: A Khan Academy field experiment in India
A new field experiment in India shows that school-supervised EdTech support delivered through dedicated staff can dramatically boost student engagement and learning outcomes with digital platforms like Khan Academy. When schools provided personnel whose sole job was to integrate the technology into regular practice, students spent far more time on the platform and achieved math gains equivalent to roughly two to three years of typical schooling — highlighting that effective implementation, not just technology access, drives big results.
3. Udemy announces new integration with Glean, bringing AI training directly into its workplace systems
Udemy has partnered with AI work platform Glean to integrate its role-aligned training content directly into workplace systems, delivering contextual, adaptive learning at the point of need rather than through stand-alone courses. This integration aims to accelerate upskilling, improve adoption of AI tools, and reduce reliance on traditional learning management workflows by surfacing relevant Udemy Business content alongside employees’ everyday tasks.
Accessibility at Scale: How Priyank Chodisetti and Workback.ai Cut Compliance from Months to Days
We recently had Priyank Chodisetti on The Edtech Insiders Podcast!
Priyank Chodisetti is the Co-Founder and CEO of Workback.ai, an AI-powered platform helping edtech organizations achieve accessibility compliance faster and at scale. A repeat founder and former engineering leader at Coursera, Priyank brings firsthand experience navigating the complexity of WCAG standards and ADA requirements.
5 Things You’ll Learn in This Episode:
Why ADA Title II’s digital expansion is a game-changer for edtech companies
How accessibility compliance impacts procurement—even for private vendors
What makes accessibility such a strong use case for AI and automation
Why traditional audits take months—and how AI can cut that to days
How continuous accessibility compliance can replace one-time checklists
🫡 Thanks for your service, folks. Any plans to update the searchable DB?