AI fluency is in almost every job requisition now, and almost no rubric. Most hiring teams know they need to test for it, but get stuck on the same three questions: What does “AI fluent” actually mean for this role? What do we ask that isn’t stale or gameable? And once AI is in the room, how do we score work that doesn’t have one right answer?

Drawing on patterns from over 60,000 AI-enabled technical interviews, Bayo Ojuri, Senior Product Marketing Manager at CoderPad, will walk through a practical, tool-agnostic field guide for closing the AI fluency gap, wherever your process stands today.

You’ll learn:

Why most hiring processes stall at “Still” or “Crawl” on the AI maturity curve, and what actually moves you to “Run”
The three elements that separate signal from noise: realistic environment, fresh question design, and consistent evaluation criteria
Concrete signals of AI fluency vs. a fluency gap you can start listening for in your next interview
How leading orgs redefined their AI proficiency bar as the skill itself evolved

How to Hire for AI Fluency Now That It’s a Critical Skill

Learn how to define, assess, and score real-world AI fluency with practical signals that turn hiring uncertainty into confident decisions.