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How to Prove Your AI Skills at Work (and Get Credit for Them)

Updated 7/31/2026
How to Prove Your AI Skills at Work (and Get Credit for Them)
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You've built real AI skills—now make sure the right people know. How to show your AI skills at work, on your resume, and in interviews.

This is Part 4 of our AI-Proof Your Career series. Here are links to the previous articles:

Our series will conclude with an expert-led AI training course later this year.

The hardest part is over. You actually learned a new skill, you practiced it on your real work tasks, and you can now say you use AI to help get your job done more efficiently.

But here's the thing a lot of people miss: building the skill is only half the battle. Now your job is easier, but what does that lead to? The other half of this journey is making sure the right people know you have a valuable new skill. A skill nobody sees won't get you a raise, a new role, or the reputation you've earned.

We know the steps in career growth often come down to visibility. So let's talk about how to turn a new skill into something your career can actually benefit from.

Write Down Your Wins

You can't make a case you don’t remember. It’s essential to start keeping track of the accomplishments you’ve made by using your AI skills.

Be specific, and whenever you can, put a number on it. "I use AI" doesn't mean much to a manager. "I rebuilt our weekly reporting process with an AI tool and cut it from four hours to one" has an immediate impact. Think about time saved, work output, or quality improved (and don't worry about being super precise - a rough estimate beats a vague claim every time).

Keep a simple running list. A google doc is perfectly fine. When your review comes around, or you start a job search, you'll be glad you're not trying to remember a year's worth of wins on the spot.

Tell Your Manager

Your manager can't reward what they don't know about. Don't wait around for them to notice on their own because they probably won’t, just go ahead and tell them. Be proud to share your growing skillset and the organizational impact it leads to.

This doesn't have to be a big formal meeting. In your next one-on-one, mention that you've been leaning on AI to handle part of your workload, and share what it's freed you up to do. Keep it focused on impact. They don't care that the tool is cool. They care that you're getting more done, and that you took the initiative to figure it out on your own.

And if this is heading toward a conversation about money, good. Just make sure you walk in prepared. Our step-by-step guide to asking for a raise covers exactly how to build that case.

Update Your Resume and LinkedIn

If you're actively job searching, or you just want to be findable, your resume and LinkedIn should show these new skills. Recruiters and hiring managers are searching for them right now.

Don't just list "AI" as a skill and leave it there. Show it doing something. Work it into your accomplishments the way you would any other result:

  • "Used AI tools to automate reporting, reducing turnaround time by 60%."
  • "Built AI-assisted workflows that let our team take on 30% more client work without adding headcount."
  • "Introduced AI-driven research processes that cut project prep time in half."

See the difference? You're not claiming to be some kind of AI expert. You're showing that you use AI to get real results, and that's exactly what employers want to see.

Be Ready for the Interview Question

"How do you use AI in your work?" used to be an occasional question. Now you should expect it in most interviews. The good news is that if you've followed along with this series, you already have the answers. They want someone thoughtful and realistic. Be honest, specific, and optimistic:

"I use Claude to handle some of the more repetitive parts of my work - research, initial reports, that kind of thing. It allows me to focus on the aspects of my job that lead to valuable impact: decision making, relationships building, and strategic thinking.”

The Bottom Line

Building AI skills is a real accomplishment, so don't keep it to yourself. Write down your wins, tell your manager, update your resume, and be ready to talk about it. Getting ahead isn't only about being the most skilled person in the room. It's about making sure the room knows your full capabilities.

This is the step that lets it pay off your hard work. And if you'd like to build these skills with a bit more structure - real practice, feedback, and a group of people working through it alongside you - our expert-led AI training course is coming later this year. More details to be announced shortly.

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Corey is an employee of The Muse

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