How to Talk About AI in Interviews When You're Not Technical

Why Interviewers Ask About AI (And What They Really Want)

When a hiring manager asks a marketing coordinator "How do you use AI in your work?" they are not testing your computer science knowledge. Since Anthropic released Claude 3.5 Sonnet in mid 2025 and OpenAI shipped GPT-4o shortly after, the baseline expectation for AI fluency has risen sharply. They are checking for three things:

1. Adaptability. Will you embrace new tools or resist them?
2. Practical judgment. Do you know when AI helps and when it hurts?
3. Initiative. Have you explored these tools on your own, or are you waiting for someone to train you?

The worst answer is "I have not really used AI." The second worst is a vague claim with no specifics. The best answers follow a simple structure.

The STAR-AI Framework

You already know the STAR framework (Situation, Task, Action, Result). Add one element for AI discussions:

• Situation: What was the business problem?
• Task: What did you need to accomplish?
• AI Action: How did you use an AI tool specifically?
• Result: What was the measurable outcome?
• Insight: What did you learn about AI's strengths or limitations from this experience?

That last element, Insight, is what separates a good answer from a great one. It shows you think critically about the tools you use.

Scripts for the Five Most Common AI Questions

Question 1: "How do you use AI in your current role?"

Template answer:

"I use [tool name] regularly for [specific task]. For example, [brief situation]. I found that AI is excellent at [strength] but I always [human oversight step] because [reason]. This saves me roughly [time estimate] per week, which I redirect toward [higher value work]."

Example:

"I use Claude regularly for drafting customer communication templates. Last quarter, we needed to create response templates for 30 new product FAQ categories. I wrote detailed prompts with our brand voice guidelines and sample approved responses, then used Claude to generate first drafts. I always review every draft against our compliance checklist because AI occasionally uses language that sounds authoritative about features we have not confirmed. This cut our template creation time from three weeks to four days, which let me spend more time on the personalization strategy that increased our response satisfaction scores by 15%."

Question 2: "What AI tools are you familiar with?"

Do not just list names. Group them by what you use them for:

"For research and analysis, I primarily use Claude because of its ability to work with long documents. For visual content, I use Canva's AI features for quick social graphics. For data work, I use Excel Copilot to write formulas and clean datasets. I have also experimented with ChatGPT and Gemini to understand how different tools handle the same tasks differently."

Question 3: "How do you think AI will change this role?"

This is a strategy question. Show you have thought about it without being either utopian or dystopian:

"I think AI will handle more of the repetitive production work, which means this role will shift toward higher judgment tasks. For example, in [your field], AI can already [current capability], but it still struggles with [limitation]. So I see the role evolving to focus more on [strategy/judgment/creativity area]. The people who thrive will be the ones who use AI as a multiplier for their domain expertise rather than treating it as a replacement."

Question 4: "Can you give an example of when AI gave you a wrong answer?"

This is a critical thinking test. Interviewers love this question because it reveals whether you blindly trust AI output.

"Absolutely. I was using [tool] to [task], and the output [specific error]. For example, it [concrete wrong thing]. I caught it because [how you noticed]. Since then, I always [verification step you now take]. It taught me that AI is most reliable for [use case] and least reliable for [use case], at least in my experience."

Question 5: "What excites you about AI?"

Keep it grounded and specific to the role:

"What excites me most is the leverage it gives individual contributors. In my last role, tasks that required a team of three can now be done by one person with the right AI workflow. That does not mean fewer people; it means each person can take on more strategic, creative work. For this role specifically, I am excited about using AI to [specific application relevant to the job]."

Vocabulary You Should Know (And How to Use It)

You do not need a glossary of 200 terms. These 10 are enough for any non-technical interview:

What to Never Say in an AI Interview Discussion

Avoid these phrases:

• "AI will replace most jobs" (shows poor judgment about nuance)
• "I just use ChatGPT for everything" (sounds undifferentiated)
• "I am not really technical" (frames AI as technical; it is a work tool)
• "AI is just a fad" (shows resistance to change)
• "I let AI do all my writing" (raises quality and ethics concerns)

Replace them with:

• "AI is reshaping how we work, and I am focused on staying ahead of that curve"
• "I have found that different tools excel at different tasks, so I match the tool to the job"
• "I approach AI the way I approach any powerful tool: learn it, test it, integrate it"
• "AI handles the first draft; I bring the strategy, judgment, and brand voice"

A 30-Minute Interview Prep Exercise

Before your next interview, complete this preparation:

1. Pick three AI experiences from your work (even small ones count)
2. Write them in STAR-AI format (two to three sentences each)
3. Identify your "AI limitation" story (when AI was wrong and you caught it)
4. Practice saying your 10 vocabulary words in natural sentences
5. Prepare one question to ask about how the company uses AI

Use the Interview Prep Tool to generate role-specific AI questions and practice your answers. Then run your resume through the Resume Score Checker to make sure your AI experience comes across clearly on paper.

The Confidence Mindset

Here is the secret that most candidates miss: the interviewer is probably not an AI expert either. They are looking for someone who is thoughtful, curious, and willing to learn. If you can describe one real workflow where AI made you more effective, explain one limitation you discovered firsthand, and express genuine curiosity about how AI could improve the role you are interviewing for, you will outperform most candidates.

You are not competing with AI engineers. You are competing with other people in your field. The bar is showing you are ahead of the curve, not that you built the curve.

Common questions

How do I answer "how do you use AI in your work"?

Name a specific tool and a specific task. Describe the situation briefly, say what AI is good at in that task, then say what you always check yourself and why. Close with a rough time saving. A named tool beats talking about AI in general.

What is the STAR-AI framework?

The STAR framework with one element added. Situation, the business problem. Task, what you needed to accomplish. AI Action, how you used a specific tool. Result, the measurable outcome. The AI Action step is what separates a real workflow from a claim of familiarity.

What should I never say when asked about AI in an interview?

Avoid "AI will replace most jobs", "I just use ChatGPT for everything", "I am not really technical", and "AI is just a fad". Each signals either poor judgment about nuance, undifferentiated usage, or resistance to a tool the role now assumes you use.

How much AI vocabulary do I actually need?

About ten terms is enough for any non-technical interview. Knowing what a large language model is, what a prompt does, and what hallucination means covers most of it. Using two or three terms accurately is more convincing than reciting a glossary you cannot apply.

What if I have barely used AI at work?

Small examples count. Pick three real experiences, even minor ones, and write them in STAR-AI format. Then prepare one story about a time AI got something wrong and you caught it. That limitation story often lands better than a success story.