AI in Education this Quarter - Q3 2026

Institutions, governments, companies and employers are shaping AI’s role in education, with major commitments outpacing agreement on the rules.

Education Intelligence Unit

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October 23, 2026

Governance for AI in education is taking shape across a growing, global set of contributors. Through the Q3 of 2026, institutions, governments and companies made strong AI commitments while the terms that support them are still developing, leaving output ownership, skills certification and responsible use as open questions.

Those commitments ranged from institution-wide AI licensing agreements and AI credentials co-designed with model developers to new national and state policies and employer training programs worth billions. Decisions like these will have a lasting impact on what learners experience next.

The QS Analytics Platform tracks AI and digital trends, grants, partnerships, policy and product developments across the global education market. None of these trends started this quarter, but Q3 data shows four players each pushing further into writing their part of the terms.

Governments are defining acceptable use

Policy for AI in learning continues to evolve across secondary and postsecondary education and the workforce. The Philippines' Commission on Higher Education issued Memorandum Order 21, a national framework for AI in teaching, research and operations, while Florida now requires its 28 public colleges to bar AI on graded work unless the instructor allows it. Policy items naming higher education rose five-fold between July and September.

Guidance and frameworks outnumber outright bans about two to one, which makes sense when 67% of academics and 62% of students already use generative AI every week, according to QS research.

School systems and departments of education will likely ask for AI disclosure in course design, syllabi, and classroom policies along with data privacy terms and integrity standards.

Model developers are impacting the solution landscape, and could affect the credentials

AI and data made up 12% of higher-ed partnerships in 2026, up from 2.1% in 2021, and AI-native firms now outnumber the online-program partners that defined the last decade of education dealmaking. The deals keep getting wider and deeper. INSEAD and the University of Sydney gave ChatGPT Edu to every student and staff member, and WGU, the world's largest online university, is working with Anthropic on a blueprint for AI credentials. Platforms and publishers are moving too, with Instructure building an AI study coach into Canvas and Pearson agreeing to acquire Workera to verify AI skills.

Expect direct agreements with model developers to become foundational technology in educational systems, and expect output ownership and model portability to become the terms everyone negotiates hardest.

Source: HolonIQ HE Partnership Data, Jan 2021 to Aug 12 2026.

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Universities are increasingly defining AI capability

Universities aren't only buying AI. They're building the research, programs and infrastructure behind it, from AI semiconductor institutes at Seoul National and Hanyang and an IIT Madras studio that turns research into startups, to Kean University's AI bachelor's, the first in New Jersey.

Chip makers are already a familiar presence as research partners. NVIDIA and KAIST launched a joint lab under a roughly $300M collaboration, Oxford partnered with AMD, and IIT Delhi opened an AI-powered supercomputing facility. Likely, more state and national systems will coordinate their AI programs, because a coordinated and networked program moves faster than institution-by-institution.

Employers double down on defining the skills

AI training is the most widely shared form of AI activity in education, and much of it happens outside institutions. About four in ten AI initiatives tracked this quarter were training programs, and they're spread well beyond the US.

Employers bring the biggest budgets. Microsoft's $2.5 billion AI deployment unit, AWS's $1 billion AI engineering unit and Caterpillar's $100 million commitment to AI and robotics workforce training add up to about $3.6 billion. Many of these programs teach skills that employers see as gaps in what degrees cover, so employers are bypassing universities and defining the skills themselves. Expect training budgets to keep flowing to providers that deliver in weeks rather than semesters.

Source: HolonIQ HE Partnership Data, Jan 2021 to Aug 12 2026.

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What to watch in Q4

In Q4, the four players are likely to start setting their 2027 strategies. Expect governments to ask for more AI disclosure and data privacy, developers and institutions to bargain harder over output ownership and model flexibility, and a widening gap between institutions with safe environments for AI experimentation and those without. Learners will feel the results first, in the solutions they use, the credentials they earn and the skills employers ask for.

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Join the Responsible AI Consortium 

About the QS Responsible AI Consortium: The QS Responsible AI Consortium is a global network of universities and business schools working together to adopt AI responsibly in higher education. Launched in December 2024 with founding partners EDHEC Business School, Imperial Business School and Luiss Business School, it now brings together institutions across Europe, the Middle East and Central Asia. Members collaborate on AI capability assessment, student experiential learning, piloting new AI solutions, and shared research.

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