The question is now standard. Most candidates fumble it. Here is how to make it your strongest moment.
Somewhere in your next round of interviews, someone is going to ask how you use AI. Maybe directly, “What is your experience with AI tools?”, or buried inside “Walk me through how you would approach this.” Either way it is no longer a niche question. Employers now treat AI ability as a baseline skill, and the body that defines workforce readiness for graduates, the National Association of Colleges and Employers, now lists Technology among its core career-readiness competencies. With entry-level postings under real pressure, your answer can be the thing that separates you from a stack of similar resumes.
The good news: most candidates answer it badly, so a good answer stands out immediately, especially if you can point to real proof of how you work with AI.
The two answers that hurt you
There are two reflexes to avoid.
The first is overclaiming. “I use ChatGPT for everything” sounds enthusiastic, but to an experienced manager it signals the opposite of what they want. It suggests you hand work to a tool without judgment, which is exactly the behavior that has burned companies. They are not looking for the person who uses AI the most. They are looking for the person who uses it well.
The second is dismissing it. “I do not really use AI” or “I prefer to do things myself” sounds principled, but in 2026 it reads as out of touch. The roles you are applying for increasingly assume AI fluency the way they once assumed you could use email and a spreadsheet. Opting out is not a neutral position. It is a gap.
What the interviewer is actually testing
Reframe the question. When an interviewer asks about AI, they are rarely asking which tools you know. They are testing your judgment. Can you use a powerful and occasionally unreliable tool responsibly? Do you know its limits? Will you own the output, or blame the tool when something goes wrong? Answer the judgment question rather than the tools question, and you are already ahead of most of the field.
Three things to have ready
Walk in with three specific, true talking points.
First, a workflow you actually use. Describe one concrete way you use AI and, just as important, what you do with the output afterward. “I use it to draft a first version of an outline, then I verify the facts and rewrite it in my own words” is a far stronger answer than naming five tools. It shows the AI is your assistant, not your replacement.
Second, a moment you chose not to use it. This is the answer that wins interviews, because almost no one gives it. “I do not use AI for the final version of something that needs my own voice, and I never put confidential information into a public tool” demonstrates exactly the judgment they are screening for. Knowing when not to use AI is a more advanced skill than knowing how to use it.
Third, how you stay current. Models change constantly. A sentence about how you keep up, such as “I follow a couple of sources and re-test my go-to workflows when a tool updates,” signals that you have the learning habit employers value more than any single skill, because the specific tools will be different in a year.
If you honestly have not used AI much
Maybe you are early in your AI use and worried this question will expose you. Do not fake fluency. A sharp interviewer will catch it, and pretending you know a tool you do not is the opposite of the judgment they are looking for. The honest version is stronger than you think. Say where you are, then show the learning habit: “I have used AI for a few things, I am still building my workflow for professional use, and here is how I am going about learning it.” Employers hiring early-career talent are not expecting ten years of experience. They are looking for someone coachable who takes the tool seriously and approaches it with care. A candid answer paired with a clear plan to improve beats a confident answer that collapses under one follow-up question.
Make it a story, not a claim
Anyone can say they have good judgment. Show it with a 30-second example. Pick one real situation: a project, a class assignment, an internship task. Describe what you needed, how you used AI, how you checked the result, and what the outcome was. A specific story is memorable and verifiable in a way that adjectives never are.
Turn the question around
Strong candidates also ask about AI, which flips the dynamic and signals maturity. Good questions to have ready: Does the team have an AI policy or preferred tools? How does the team use AI in its work today? Where has it helped, and where has it caused problems? These show that you think about AI the way the company has to think about it, as a tool with both upside and risk. They also give you real information about whether this is a team you want to join.
The candidate who talks about AI usage sounds like every other applicant. The candidate who talks about AI judgment, what they use it for, when they refuse to use it, and how they keep learning, sounds like someone already ready for the job. In a market where entry-level roles are scarce, that difference is not cosmetic. It is the hire.
