I have been a career counselor for 25 years — long enough to remember when "Proficient in Internet" showed up on resumes as a real skill.
Clients asked me whether they needed to learn email. Hiring managers quietly passed over candidates who couldn't research online. Nobody said that part out loud. It just happened, in the gap between one round of interviews and the next.
Within a few years, the question was no longer whether you used the internet. It was how well.
We are standing at that same moment with artificial intelligence. And I want to be clear about something before we go further: this is not a post about falling behind. It's a post about how much of an advantage you already have, and how to use it.
This Isn't Hype
Economists call AI a "general purpose technology" — the same label given to electricity, the personal computer, and the internet. These are the rare inventions that reshape nearly every industry, not just one.
AI is moving faster than any of them. Researchers at the St. Louis Fed found that roughly 40% of working-age Americans were using generative AI within two years of its launch. At the same point in its life, the internet had reached about half that.
Employers have noticed. In Microsoft and LinkedIn's 2024 Work Trend Index, 66% of leaders said they would not hire someone without AI skills, and 71% said they would choose a less experienced candidate who had them over a more experienced candidate who didn't. Those numbers are two years old now, which is worth sitting with — that was the state of employer thinking before most of the tools people use today existed.
The World Economic Forum's Future of Jobs Report 2025 projects 170 million new jobs and 92 million displaced by 2030, and estimates that 39% of workers' core skills will change over that span.
And PwC's 2026 Global AI Jobs Barometer found that workers with AI skills command a wage premium — and that human skills like judgment and relationship-building are becoming more valuable, not less.
Here's the part I find genuinely encouraging. With every major technology shift, the real change came slowly, once people learned to rethink their work around the new tool. The largest gains went to the people who did that rethinking — not to the people who simply had access first. That takes curiosity, judgment, and deep knowledge of your field.
Which is to say: it takes exactly what you've spent your career building.
What "AI Native" Actually Means
Being AI native doesn't mean becoming a programmer or a tech expert. It means AI has become part of how you think and work, the same way a search engine did.
When you face a task, you instinctively ask: could AI help me do this faster, better, or more creatively?
The professionals who stand out over the next five years won't be the ones who know the most about AI. They'll be the ones who know their own industry deeply and know how to pair that expertise with AI.
Your knowledge is the asset. AI is the amplifier.
Start With Your Own Work, Not the Tools
I watch people get overwhelmed because they start with a list of tools. Start with your week instead. Ask yourself three questions:
- What tasks eat up my time but don't require my best thinking?
- Where do I get stuck staring at a blank page?
- What do I wish I had a research assistant for?
A nurse might use AI to draft patient education materials in plain language. A sales professional might prepare for a client meeting in ten minutes instead of an hour. An attorney might summarize a long document before a closer review.
The strategy is identical in each case: find the friction, then experiment.
Explore, Play, and Stay Curious
Nobody learned the internet from a manual. We clicked around, made mistakes, and got better. Treat AI the same way.
Try more than one tool. ChatGPT, Claude, Google Gemini, and Microsoft Copilot all have no-cost tiers, and each has its own strengths. Give them the same question and compare what comes back. Ask follow-up questions. Tell the tool who you are and what you actually need — the more context you give it, the better the result, and this is the single biggest difference between people who find AI useful and people who find it disappointing.
Then apply your professional judgment, every time. AI can be confidently wrong, and your expertise is what catches the mistake. That is precisely why experienced professionals have the advantage here rather than the disadvantage they often assume they have.
It's also why AI hasn't solved the things people most want it to solve. I've written before about why most people struggle to write a great resume with AI — the tool isn't the missing piece; knowing what belongs on the page is.
Where to Build Real Fluency at No Cost
You don't need to spend money to build genuine AI fluency. Pick one of these and commit thirty minutes a week.
- Anthropic Academy — courses from the company behind Claude, including AI Fluency: Framework and Foundations, built for everyday professionals rather than engineers. Several are also on Coursera.
- Grow with Google — short, beginner-friendly introductions to generative AI and using it at work.
- Microsoft Learn — self-paced modules on AI fundamentals and using Copilot in everyday work.
- Elements of AI — a course from the University of Helsinki that explains what AI is and isn't, in plain language.
- Your public library — many libraries include LinkedIn Learning access with a library card, which covers dozens of practical AI courses at no charge.
- Your professional association — many industry groups now run AI webinars for members. Start here if you can, because it speaks your industry's language.
How to Talk About It on Your Resume and in Interviews
Employers are asking about AI now — sometimes directly, sometimes between the lines. And they're increasingly using it on their side of the table too, which I wrote about in your next interviewer might not be human.
"Familiar with AI" tells them nothing. A story tells them everything.
Instead of listing a tool, describe the result: "Used AI to redesign our client onboarding materials, cutting preparation time by 40%." That's strategy. That's storytelling. That's what gets noticed — and it's the same principle that drives every strong bullet point in resume writing, whether AI is involved or not. The same goes for your LinkedIn profile, where a concrete result outperforms a skills list every time.
The Bottom Line
The internet didn't replace good professionals. It rewarded the ones who adapted. AI is following the same path, only faster.
You don't need to know everything. You need to start, stay curious, and connect it to the expertise you've already spent years building.
The question is no longer whether AI will be part of your industry. It's whether you'll be one of the people leading the way in yours.
If you're trying to figure out how to position your AI skills in your next move — on the resume, in the interview, or in deciding what that next move should even be — that's the work career counseling does best. Book a complimentary discovery call and let's talk it through.