The university,
rebuilt for the intelligence age.
Study Intelligence is an AI-native university that grants no degrees. Instead, we do three things in public: rank how ready the world's universities are for the AI era, publish the underlying data for anyone to use, and teach the one skill every graduate now needs — thinking with machines.
> no diplomas · no tuition traps · no black-box rankings
> evidence / open data / real assessment
What we actually do
Not a campus, not a MOOC catalog. Three public instruments — each one useful on its own, stronger together.
Global AI Education Readiness Index
The first ranking of how ready the world's universities are for the AI era — policy, teaching integration, infrastructure — with the full methodology published before launch. No black boxes.
PREVIEW_METHODOLOGY →Open Data Commons
Every audit we run becomes a free dataset: university AI policies, program offerings, tuition figures. CSV and JSON, CC-BY-4.0, reproducible scripts included.
BROWSE_DATASETS →SI Score
An 18-question AI-literacy assessment that runs entirely in your browser. Prompting, verification, hallucinations, ethics, privacy, policy — scored 0–100 with a shareable card.
RUN_DIAGNOSTIC →Why the university needs reinventing
THE_PROBLEM
The modern university was designed for the printing press: broadcast the lecture, memorize the text, stamp the degree. Artificial intelligence breaks all three assumptions. A lecture is now the worst way to move information. Memorization is the cheapest thing a machine does. And the degree — a one-time certificate for a four-year batch process — measures the wrong thing in a world where knowledge has a half-life.
THE_POSITION
THE_METHOD
Study Intelligence is our attempt to prototype what comes next, in public and from first principles. We start with measurement: our audits found that not one of the world's top-100 universities bans AI outright — the global norm is delegated permission plus mandatory disclosure — while the policy gap maps almost exactly onto the wealth gap. You can't fix what you don't measure, so we publish the measurements.
Then we open the data, because an index nobody can audit is just marketing. And we assess the skill that matters now: not what you memorized, but how well you direct machines, verify their output, and learn faster than the models improve.
This is an experiment. Some of it will be wrong, and when it is, the data will show it — that's the point.
How AI-literate are you, really?
Eighteen questions. Five minutes. Zero sign-up, zero tracking — your answers never leave your browser.
Run the diagnostic