The 15 AI Usage Types: Which One Are You?
Everyone in your office is using AI differently — or not at all. That's not a skills gap. It's a personality landscape. Here's the map.
Ask ten colleagues how they use AI and you'll get ten different answers. One has already wired it into every workflow. One tried it once, got a wrong answer, and filed it under "hype." One is quietly using it every day without telling anyone, because the company policy hasn't caught up yet.
The standard corporate response is to treat this as a skills problem: run a training, measure "AI proficiency," nudge the laggards. But after running AI workshops inside dozens of organizations, we kept seeing the same thing — the differences don't line up on a single scale from "bad at AI" to "good at AI." They fan out in directions.
Some people create new uses. Some connect tools together. Some systematize what others invent. Some verify what others trust too quickly. Some spread the word, and some fund the whole thing. Every one of those directions is a job the organization needs done.
So we mapped them. Twenty-four questions, seven factors — Creation, Crossover, Autonomy, Advocacy, Systemization, Verification, Engagement — and fifteen distinct types of relationship between a person and AI.
The 15 types at a glance
The builders
The Pioneer invents uses nobody asked for. The Remixer connects tools into surprising combinations. The Artisan goes unreasonably deep on one use case. The Systemizer turns other people's inventions into templates anyone can run.
The spreaders
The Evangelist translates capabilities into your job — "here's how this helps you." The Curator knows exactly which tool fits which problem. The Sponsor doesn't touch the tools much, but provides the budget, time, and air cover that let everyone else move.
The steady adopters
The Self-Learner figures things out alone. The Learner adopts happily once shown. The Operator uses whatever just works. The Delegator's superpower is knowing who to ask.
The guardians
The Verifier's first question is "source?" — the quality layer every AI rollout desperately needs. The Critic thinks AI is overhyped, and is sometimes right.
The edge cases
The Shadow Adopter is using AI ahead of company policy (your org almost certainly has several). The Quiet Abstainer says "looks useful" and never opens it — and is the most misunderstood person in the building.
No type is "best." A team of fifteen Pioneers ships nothing; a team of fifteen Verifiers ships nothing new. The interesting question is never "how good is this person at AI?" It's "what's our distribution — and which roles does nobody hold?"
Why this beats an AI skills test
Skills tests make people defensive, and defensive people game the test. A typology with no wrong answers gets you the truth — including from the skeptics and non-users your rollout actually depends on. Fifteen types with seven measured factors gives you enough resolution to act on: who should pilot new tools, who should own quality, who should teach, and who just needs the rules clarified before they'll engage.
Find your type
The assessment is free: 24 questions, about 4 minutes, no sign-up, anonymous. You'll get your main type, your hidden second and third faces, and a seven-factor radar of how you actually relate to AI.
Taking it as a team? Layer everyone's results into one map and see which of the fifteen roles your organization is missing. Learn about team assessments →
Want the longer read? Essays and field guides on the RELACTIS blog →