Further

2026 R1 AI Adoption Benchmark

What 177 R1 Universities Taught Us About AI Adoption

Leadership decisions, not research budgets, separate the leaders from everyone else

Ask a university leader about AI and you'll likely hear “We're all in.” We scored R1 research universities on five pillars of AI adoption to find out what that means. The average score was 69 out of 100, and only one school scored a perfect 100.

What you'll learn

Four findings shaping AI adoption at R1 universities in 2026

  • 01

    Every R1 has rules for AI and data, but only 8% require an AI statement in every course syllabus.

  • 02

    Only 34% give every student a secure AI tool, and those schools score 24 points higher on average.

  • 03

    Curriculum is the strongest category. Compute is the bottleneck.

  • 04

    Bigger research budgets don't buy better adoption. Leadership decisions do.

Insight 01 — Governance

57% of institutions call AI a strategic priority, but only 22% have an institution-wide AI strategy (EDUCAUSE 2025).

Every school has an AI policy. Almost none require one in the classroom.

8%

of R1 universities require an AI statement in every course syllabus, even though 72% publish data-privacy rules for AI.

“Guidance gets read once and forgotten. A required syllabus statement takes one Faculty Senate vote, and it gives every student a clear answer in every class.”
Jason Tabeling Head of Solutions, Further

Insight 02 — Access

Students aren't waiting for the plan. 92% of undergraduates now use AI tools, but only 36% say their institution has helped them build AI skills (HEPI 2025).

Only a third of R1s give every student a secure AI tool. The rest are still deciding.

34%

of R1 universities provide a paid or homegrown AI platform to every student.

+24

points: schools with full student access average 75, compared to 51 for those without.

Why access drives the score

Clear rules make access possible. 93% of the 61 schools with full student access also publish data rules, so IT can say yes to a new tool instead of a blanket no.

177 of 187 Carnegie R1 universities scored October 2026

Each school was scored 0 to 3 on five pillars (0 = below average, 1 = emerging, 2 = average, 3 = advanced) using public provost, teaching center, IT, course catalog and research computing pages, NSF award data and NSF HERD FY2024 research spending, then combined into a score out of 100. The other 10 R1s were left out because not enough public data was available to score them.

Common questions

AI adoption at research universities, in plain terms

The full benchmark scores 177 of the 187 R1 universities. See our higher education services for how we help universities act on it.

R1 is the Carnegie Classification for doctoral universities with very high research activity, the highest level of research activity in the United States. The 2025 designations include 187 institutions. Our benchmark scores 177 of them; the other 10 didn't have enough public data to score.

We scored each school 0 to 3 in five categories using publicly available data, then combined them into a score out of 100. Scores were adjusted for information behind logins or held at the state-system level.

We get student, research and operational data organized and governed in the cloud, help leaders choose and roll out AI tools such as Gemini Enterprise, and measure whether AI is moving enrollment, retention and student outcomes. Every engagement is guided by Further Catalyst, our AI-driven methodology.

Free benchmark report Resource

Get the full R1 AI Adoption Benchmark

See how 177 R1s score on five pillars, where the biggest gaps are, and the four moves university leaders should make in 2027.

R1 AI Adoption Benchmark — benchmark AI readiness across 177 R1s and discover the priorities shaping higher education in 2027

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