Choosing AI skills for your resume
Vague wording is the enemy of a good resume. "Familiar with AI" tells a recruiter nothing, but "Used Microsoft Copilot to draft first-pass client proposals, cutting turnaround from three days to one" gives them something concrete to ask you about. Whether it's ChatGPT, Gemini, Claude or an industry-specific platform like Harvey for legal work, be precise about what you used and what it produced.
A few ways to work AI skills into your resume:
In your skills section. List specific tools and techniques (prompt writing, output verification, AI-assisted data analysis) rather than the generic phrase "artificial intelligence."In your work experience bullets. Attach each tool to a result. Numbers, like hours saved each week or error rates cut, make the skill credible.In credentials. A short credential (more on those below) signals you've invested in learning the tools properly.
Mirror the language of the job posting too. If the ad asks for "experience with generative AI tools," use that phrase where it's true of you—applicant tracking systems and recruiters both scan for it.
One caution: Don’t use AI to write the resume or cover letter for you from scratch. Hiring managers say heavily AI-generated applications can make it difficult to determine which skills and accomplishments genuinely belong to the candidate. When your application sounds generic or includes experiences you can't discuss in detail, it can undermine your credibility. Use AI to polish your drafts, but keep your own voice and only claim skills you can back up in conversation. If you list a tool, expect a follow-up question about it.
How to handle AI interview questions
Most questions about your use of AI in non-technical roles are practical. Expect questions like these:
How have you used AI tools in your current or previous role?Tell me about a time AI got something wrong. What did you do?How do you decide which tasks to give to AI and which to keep?
Prepare one detailed story for each. Structure it simply: the task, the tool, what you did and what changed. For example: "Every week I had about 40 customer feedback threads to get through. I started running them through ChatGPT to pull out the themes, then I'd spot-check those against the actual comments before putting anything in my report." An interviewer can picture that, and that's what makes it believable.
The second question matters more than candidates expect. Interviewers ask it because they want proof you verify outputs instead of trusting them blindly. Describing how you caught a hallucinated statistic (even the best AI tools can invent plausible-sounding facts and figures) shows judgment and critical thinking, skills employers value highly.
For the third question, have a rule of thumb ready and an example of it in action: Maybe AI handles your first drafts and summaries, while anything involving confidential data or a client relationship stays with you. Employers are looking for professionals who are innovative, but thoughtful and responsible use of AI is critical. Wherever you draw the line, interviewers like to hear that you've drawn one.
And be honest about limits. If you haven't used a tool the company relies on, say so, then point to how quickly you picked up the ones you do know. Rehearsing AI interview questions and answers out loud with a friend (or with a chatbot playing the interviewer) helps you find the gaps in your stories before the real conversation does.
Even if you aren’t asked specific AI interview questions, mentioning your experience with the tool or asking how the employer is currently using it could help set you apart from other candidates. Do some homework on the company, and check its website’s newsroom or career pages for AI-related content. Ask the recruiter how the team uses AI day to day. Arriving with a question of your own, such as "Which tasks has the team automated in the past year?", shows you're already thinking about how you'd apply the tools in their environment.
