A practical guide for talent teams
What is AI fluency? And how do you actually hire for it?
Leadership now expects every new hire to be AI fluent: in sales, marketing, finance and product, not just engineering. It falls to talent acquisition to define what that means, write it into the req, and test for it in a 45-minute interview. This practical guide shows you how.
- A one-sentence AI fluency definition every hiring manager can use
- A 4-level scale to set the right AI bar for each role
- A rubric that shows whether the candidate or the AI did the thinking
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Trusted by 4,000+ hiring teams
Built on 60,000+ AI-enabled interviews run in CoderPad
“Everyone says they’re good with AI now. That’s meaningless on its own. We want to see it.”
What’s inside
Five steps to hire people who work well with AI, in any role
Go from “we need AI-fluent hires” to one clear way every team screens and scores candidates. Plus templates and checklists you can use right away.
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Locate
Find where you really are
See which of 4 AI stages your company and hiring process are in.
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Define
Write it down once
Write one definition, with Anthropic, Zapier and GoDaddy as models.
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Level
Make it a scale, not a yes/no
Set the level each role needs with one intake question.
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Evaluate
Score the person, not the model
Score six behaviors that show the candidate’s judgment, not the AI’s.
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Launch
Fix the interview, keep the format
Rebuild your interview questions with a 6-part framework.
Sneak peek
Frameworks you can put to work today
For TA leaders setting the hiring bar, recruiters running screens, and the execs asking for AI-fluent hires.



You’ve been asked to hire for AI fluency.
But not what it means or how to test for it. This guide gives you both.