The AI Growth Report 2026
Our annual flagship study of who's growing with AI — and who isn't. Free, annual, and built so the world can see the divide clearly enough to close it.
Report · arriving 2026. The full report is on the way — read the complete overview below.
Every generation is defined by a shift, and every shift draws a line. Some people cross to the side of new opportunity; others are left on the far bank, watching the distance grow. With artificial intelligence, that line is being drawn faster than any before it — and almost no one can yet see exactly where it falls. The AI Growth Report exists to make the line visible.
This is our annual, independent study of how individuals and organizations are actually learning, proving and winning with AI — and, just as importantly, where they are being left behind. It is free, it is published every year, and it is built on one conviction: you cannot close a divide you cannot measure.
What the report tracks
The Report follows the AI growth journey end to end, turning a vague sense of ‘readiness’ into something concrete enough to act on. Across the 2026 edition we examine:
- Individual readiness — how prepared people are to use AI to learn, prove their skills and find opportunity, broken down by age, education and region.
- Organizational readiness — how ready businesses are to hire on verified capability and to run operations on AI, by size and sector.
- The access gap — where readiness is concentrated and where it is absent, mapped against geography, language and income.
- The proof gap — the distance between what people can do and what they can demonstrate to an employer.
The thesis we expect to defend
Our hypothesis, drawn from everything we see on the platform, is simple and uncomfortable: the gap between the AI-ready and the AI-unready is not mainly a gap in talent. It is a gap in access — to guidance, to skilling, and to a credible way of proving what you know. Talent is distributed roughly evenly across people and places. Access is not.
If the divide is really about access, then it is something we can design our way out of — region by region, language by language, learner by learner.
Who the report is for
We write for the people who can move the numbers: educators planning the next graduating class, employers rebuilding how they hire, and policymakers deciding where public investment in skilling should go. It is meant to be read, argued with, and used.
How it is built
The Report draws on aggregated, privacy-respecting signals from across the StudAI One ecosystem — anonymised Prism readiness data, learning outcomes from Loop, and hiring patterns from Hire — combined with public data and a transparent methodology. Where a figure is directional rather than definitive, we will say so plainly. The point is not to look certain; it is to be useful and honest.
When it lands
The 2026 edition is in preparation now. Join the waitlist and we will send it to you the day it publishes, along with the underlying methodology so you can check our work.
