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Why AI Fluency Is the New Career Currency

What workforce transition expert Kanya Olivier wants you to know before your next interview

6 min readWritten by Amy Gallagher

Kanya Olivier

INTERVIEWEE

Kanya Olivier

Co-Founder, Company Bridge Program (opens in a new tab)

Expert Interviews: Why AI Fluency Is the New Career Currency, featuring Kanya Olivier. A candidate smiles and gestures across the table during a job interview.

Here’s an uncomfortable truth: simply saying “I use AI” on your resume doesn’t impress anyone anymore. What gets you hired, promoted, or picked over the next candidate is what you actually did with AI, and being able to prove it.

We sat down with Kanya Olivier, co-founder of The Company Bridge Program (opens in a new tab), to get the real talk on where AI skills fit into hiring right now. Her firm sits on both sides of the workforce story: she helps companies through layoffs and downsizing, then helps those same employees land their next role through her outplacement platform, Job Interview Training Executive.

Olivier has a front-row seat to exactly how AI is reshaping who gets hired. Spoiler: it’s a bigger deal than most people realize, and the way you talk about it matters more than whether you use it at all.

Put AI on your resume. Then prove it.

Yes, Olivier expects to see AI on your resume, but what she really wants to see is what it got you.

“I want to know if they’re utilizing AI and how it’s being implemented in their work process,” she says. Her favorite move in an interview is a simple prompt: tell me about a time you saved time or got more efficient. “What I’m actually listening for is whether that story ends in something you can measure: more revenue, more sales, less risk, less liability, or just genuinely faster, better work.”

A certificate gives you a solid start, but it’s not the finish line. “AI is just as good as the prompt you give it,” Olivier points out. List “AI-proficient” on your LinkedIn with nothing to back it up, and it won’t carry much weight on its own. As she puts it, “garbage in, garbage out”, so pair that credential with proof you know how to get real results out of it.

The candidate who got hired on the spot

Want to know what actually lands? Olivier told us about a developer she interviewed for a database build. Instead of nodding along and promising to follow up, he opened an AI tool right there in the interview, fed it her requirements live, and built a working mock-up of the database in real time while she watched.

“What I’m actually listening for is how your use of AI results in something you can measure: more revenue, more sales, less risk, less liability, or just genuinely faster, better work.”

That’s the bar now. Not talking about AI. Showing it, live, solving a real problem in front of the person deciding whether to hire you.

Remember Blockbuster?

Olivier’s go-to comparison for where this is all heading: Netflix versus Blockbuster. One adapted. One didn’t. You know which one still exists. The math inside companies is brutally simple: if one person is getting double or triple the output using AI, the person who isn’t starts looking like a liability, fair or not.

“AI’s efficiency is becoming the standard. The benchmark has been elevated to the point that you have no choice but to use it.”

Translation: this isn’t a nice-to-have skill you can put off learning. The bar has already moved, whether you’ve caught up or not.

What about companies worried about privacy?

Fair concern, and Olivier doesn’t dismiss it. Companies do need to protect their data, which is exactly why enterprise AI tools exist like IBM Watson, or business versions of Claude and ChatGPT. The company’s own information stays locked down while employees still get the AI advantage. Her warning is for companies that go the other route and just ban AI outright: your team is probably using it anyway, on their personal phones, feeding your company’s information into consumer tools with zero oversight.

“Those companies who have red tape around their employees utilizing AI… I think it’s going to be a detriment. They’re not competitive, and they’re not a driving force in their industry.”

“Why don’t companies adopt AI into their own systems,” she asks, “so that account is the company’s account that everyone can utilize?”

Ban it and lose control, or build it in and stay safe. Those are really the only two options.

Two colleagues in an open-plan office review an analytics dashboard on a large monitor.
Enterprise AI tools let teams keep the AI advantage while company data stays locked down.

How to actually write this on your resume

Olivier doesn’t hesitate when asked where this is headed: AI fluency is becoming as standard a requirement as Excel once was. But you have to know how to talk about it on your resume to really make your skills stand out. First off: ditch the vague AI buzzwords.

“Under each role, write what you achieved because you used AI and put a number on it,” Olivier says. “Revenue up, costs down, turnaround time cut in half, risk reduced. That’s the difference between a resume that gets skimmed past and one that gets a callback.”

Under each role, write what you achieved because you used AI and put a number on it.

New to AI? Start here.

If you’re feeling behind, we’re here to tell you: most people are feeling exactly the same. It’s pretty easy to feel behind on something that is literally changing every day. Olivier’s advice: start small. “Start with simple tutorials which walk you through the prompting basics. Then pick one small task you already know how to do well, and practice getting AI to help you do it.”

Better yet, sign up to a course provider like ClickTech HUB so you can get proper guidance and skip the trial-and-error. Once you know what the finish line looks like, it’s a lot easier to figure out the route.

Become the person nobody wants to lose

Whether you’re nervous about AI taking your job or you’re ready to use it to get ahead, Olivier’s advice is the same: get multi-skilled, and let AI help you do it faster.

Want the next role up? Take that job description and use AI to start practicing the skills it demands, today. Want to be untouchable in your current role? Do the same thing sideways.

“If you’re scared AI is going to take your job, get skilled in lateral positions. Pick up adjacent skills at your level and let AI close the gap between what you know now and what you’d need to learn from scratch. Learn those skills, learn those tasks. That’s what recruiters want.”

“If you’re scared AI is going to take your job, get skilled in lateral positions. Pick up adjacent skills at your level and let AI close the gap"

“Someone who is multi-skilled, who can do multiple operations… you’re the unicorn that we cannot give up,” she says. And she’s speaking from the room where these decisions actually get made.

So here’s the real choice: learn to use AI well, on your own terms, right now, or spend the next few years playing catch-up. If you’re reading this, you already know which one you’d rather be.

Kanya Olivier

ABOUT THE EXPERT

Kanya Olivier

Kanya Olivier is the Co-Founder of the Company Bridge Program (opens in a new tab). Together with her team, she specializes in strategic workforce planning, independent HR reduction-analysis training, and comprehensive employee outplacement. Working alongside company General Counsel and HR, Kanya and her team help organizations navigate sensitive transitions while onboarding impacted employees onto a dedicated platform for career transition support.

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