Research on Canadian AI adoption, technology development and the talent gap
There's no shortage of opinions about AI and no shortage of forecasts. What's missing is boring, checkable evidence about what's actually happening to Canadian companies and the students who work in them. That's the gap CAI fills.
What we study
The startup index
A read on formation rates, team sizes, funding, and how much of the work is now model-assisted.
The labour side
What employers mean when a posting says "AI skills", and which entry-level tasks are disappearing or being rewritten.
Campus policy
How disclosure and integrity rules differ school to school — and what a fair common standard could look like.
Applied research
Research is conducted by Ph.D. students, university faculty and industry practitioners — and leaves each of them with co-authorship credit and faculty supervision, plus something concrete to put in front of a grad committee or an employer.
- Latest AI technology and business application
- AI algorithm development and LLM models
- Canadian workforce AI literacy and student career development
- Advanced AI technology adoption
How we work
Submit your research subjects
Demonstrate your research approaches
How we're funded
Funded by corporations, universities and government grants
Publish
Free to access for everyone
The library
Everything we've published
Papers, briefs, and the datasets behind them.
This page is under construction. Our first publications will be listed here.
Use it however you like
Our work is published in our Library. If you're writing about something we've missed, tell us.