What the interviewer is checking
Real use, in your own work
Specific tasks where AI changed how you work: what you used, what you asked it, and what you did with the result.
Judgment about when not to
Where you don't use it, and why: sensitive data, decisions that need accountability, work where checking takes longer than doing.
Verification
How you check what it produces. People who trust output unread are a risk; people who check it are the hire.
Leverage for the team
For leaders: how you've helped a team adopt it well, set norms, or changed a process, not just your own shortcuts.
How to prepare
Have three stories ready
One where AI saved real time, one where it got something wrong and you caught it, and one where you changed how your team works. Use the same situation, action, result shape as any behavioral story.
Be specific about the work
"I used it to turn forty customer interviews into themes, then read the ten quotes behind each theme" beats "I use it for research".
Know your data rules
Say what you keep out of AI tools and why. It shows you understand the company's risk, not just the tool.
Expect a live exercise
Some companies hand you a task and a tool. Narrate as you go: what you ask, why, what you'd check before trusting it.
Common misses
Listing tools
Naming products isn't fluency. What you did with them is.
Overclaiming
"AI does most of my job" worries an interviewer. Show where your judgment came in.
Dismissing it
Saying you don't use it, without a reasoned view, reads as out of date for most roles now.
Worked example
Tell me about a time AI changed how you work.
- Situation: quarterly business reviews took two days of pulling numbers and writing commentary.
- Action: drafted the commentary from the metrics export with an AI tool, checked every number against the source, and rewrote the conclusions myself.
- Caught a wrong comparison period in the draft, and added a checklist step for it.
- Result: prep went from two days to half a day, and the team adopted the same checklist.