Stop Describing Your AI Skills. Do This Instead.
Talking about AI fluency won't get you found. Showing it will.
Stop Describing Your AI Skills. Do This Instead.
There is a gap opening right now between two groups of senior professionals.
Both groups have strong backgrounds. Both have 20-plus years of domain expertise. Both are navigating the same disrupted market — 108,435 job cuts in January 2026 alone, the highest January total since 2009.
The difference has nothing to do with credentials, titles, or how many applications they've submitted.
One group is describing their AI fluency. The other is showing it.
Guess which group is getting called.
What "Showing It" Actually Means
This is not about posting think pieces on the future of work. It is not about sharing someone else's research with a two-line hot take. It is not about adding "AI fluent" to your LinkedIn headline and calling it a strategy.
Showing your AI fluency means putting real work in public view. Workflows you have built. Problems you have solved in your domain using AI tools. The specific, measurable result on the other side.
There is a massive difference between a professional who says "I have been experimenting with AI to improve my processes" and one who posts a walkthrough of the exact workflow they set up — the inputs, the output, the time it saved, the problem it solved.
The first person gets nodded at. The second person gets called.
I follow a senior Microsoft director on LinkedIn who ran a hands-on agent deployment seminar — live workflows, real problems, real output in front of an audience. No theory. No slides about where AI is heading. Just working deployments happening in real time.
His LinkedIn Featured section matches. You do not land on his profile and find a PDF resume. You find live working examples of what he has built and how he operates. It functions as a portfolio, not a credential list.
That is a deliberate visibility strategy. And it is working.
The Pattern Among Professionals Getting Found
When I look at the senior professionals getting inbound right now — calls from PE-backed companies, board inquiries, fractional opportunities — the pattern is consistent.
They are not the ones with the longest resumes or the most impressive former titles. They are the ones whose profiles prove they already know how to operate in the new model.
They post real work. They update their Featured section when they build something new. They show workflow documentation, deployment examples, before-and-after results. Their profiles do work on their behalf around the clock — whether or not they are actively searching.
The professionals who are not getting found are doing the opposite. They are waiting until they have something polished enough to share. They are describing what they know instead of demonstrating what they can do. They are treating their LinkedIn profile like a résumé instead of a live portfolio.
In a market moving this fast, that gap compounds quickly.
Your Featured Section Is Beachfront Property
Here is what I see on most senior professional profiles right now.
The Featured section — the most valuable real estate on the entire profile — is either empty, has a link to a company they no longer work for, or has a PDF résumé that nobody asked for.
This is beachfront property being used as a parking lot.
Your Featured section is the first thing someone sees after your headline and your photo. When a recruiter pulls your profile, when a prospective fractional client checks you out before a call, when a board member's team vets you as a candidate — the Featured section is what they look at while deciding whether to keep reading.
What do you want them to find?
A list of old titles and outdated accomplishments? Or proof that you understand how work is changing and you are already operating in the new model?
The answer to that question is the difference between getting a call and getting passed over.
The Three Places Your Demonstration Has to Live
If you want to be findable in this market, the proof of your AI fluency needs to show up in three places simultaneously. Not one. Not two. All three.
Your LinkedIn Featured section. This is where the demonstration lives permanently. A written walkthrough, a short screen recording, a documented workflow with inputs and outputs — anything that shows what you built, what problem it solved, and what the result was. Update it when you build something new. Treat it like a live portfolio, not a static credential. The professionals getting inbound have something here that makes a hiring committee or prospective client stop and say — this person already operates the way we need.
Your landing page or personal site. At this level you should have one. The Featured section is the hook. The landing page is the full proof. Workflow documentation, before and after, metrics where you have them. The story of how you identified the problem, what you built, and what changed on the other side. This is where a prospective fractional client goes after they see your Featured section and want to know more before picking up the phone. If that page does not exist, the conversation often ends right there.
Your posting cadence. This is where most professionals fall completely flat. They build something real, document it once, and never post about it again. Being findable means being consistently visible. That means posting about what you are building, what you are deploying, what is working and what is not. Not once. Every week. The algorithm rewards consistency. More importantly, your audience — the hiring committees, the PE partners, the CEOs looking for fractional help — they reward consistency too. One post does not build credibility. Twelve posts over three months does.
The professionals getting found have all three running simultaneously. The ones who are invisible are waiting for the right moment to start — which means they are waiting indefinitely.
Domain-Specific Is the Whole Point
There is an important nuance here that most professionals miss.
This is not about demonstrating AI fluency in the abstract. It is about demonstrating it in your domain — the specific field where you have 20 years of context, relationships, and pattern recognition that no generalist can replicate.
The value is not in the AI tool itself. Claude, ChatGPT, Perplexity — those are available to everyone. What is not available to everyone is the expertise to know which problem to aim the tool at, which outputs to trust, which edge cases will break the model, and what correct actually means in the context of your specific industry.
A supply chain professional who builds a workflow that monitors supplier risk signals — and knows which signals actually matter because they have lived through three supplier failures — is not doing the same thing as someone who asked an AI to summarize news articles.
A regulatory professional who builds a workflow that cross-references clinical trial endpoints against guidance documents — and can evaluate the output because they have reviewed hundreds of submissions — is demonstrating something no AI can replicate and no generalist can fake.
A senior infrastructure leader who builds a monitoring workflow that flags anomalies in cloud spend patterns — and knows which anomalies actually signal a problem versus normal variance, because they have managed nine-figure infrastructure budgets — is showing something that a job description cannot capture and a resume cannot prove.
That combination is what makes a Domain Translator. Deep expertise aimed at a real problem, with AI as the execution layer. The visibility strategy is simple: show that work publicly, in the places where the people looking for that combination will find you.
Why Most Professionals Are Not Doing This Yet
Here is the honest answer to why the field is still mostly empty even though the opportunity is obvious.
Most senior professionals do not think of themselves as people who post work-in-progress. They come from a corporate culture where you present finished products, polished decks, approved messaging. You do not show your process. You show your results after they have been through three rounds of review.
That instinct is exactly backwards for this moment.
The professionals winning visibility right now are not waiting for permission to share their work. They are not waiting until the workflow is perfect or the results are statistically significant or someone in legal has signed off. They are putting real, imperfect, specific work in public view and letting the market decide if it is relevant.
It always is. Because specific always beats polished. A real workflow that solves a specific problem in supply chain, or pharma, or enterprise infrastructure, or financial services — even if it is rough around the edges — is worth ten times more to the right audience than a perfectly formatted summary of your leadership philosophy.
The other reason most professionals are not doing this is simpler: they have not built anything yet. They are in the "learning about AI" phase rather than the "deploying AI in my domain" phase. They are reading articles, attending webinars, taking courses. None of that is visible. None of it signals competence to the market.
The shift from learning to deploying is the whole game. And the faster you make that shift, the faster you start getting found.
The Timeline Is Shorter Than You Think
We are early. Very early. Which means the professionals showing up now — already demonstrating real AI deployment in their domain, already visible, already building a track record — are not competing against a crowded field.
The field is mostly empty.
The companies doing the restructuring right now are not struggling. They are rebuilding around AI capabilities. The roles being eliminated are the ones where the human was not demonstrably doing something the AI could not. The roles being protected — and the fractional practices being built — belong to the professionals who show up as Domain Translators.
Deep expertise. AI fluency. Visible proof of both.
You do not get to that position by having it on a résumé. You get there by showing your work.
The professionals who understand this and act on it now will be the ones defining what this role looks like for the next decade. The ones who wait for clarity, for polish, for the right moment — they will be explaining their gap while someone else is already in the room.
What to Do Before Monday
Pick one workflow you have built or improved in the last 90 days. If you have not built one yet, build one this weekend. It does not need to be complex. Find a task in your domain that used to take two hours and get it done in fifteen minutes using AI.
Document it. Write down what the problem was, what you built, how it works, and what changed. Screenshots, a short screen recording, or a clear written walkthrough.
Post it Monday morning. Not a think piece. Not a hot take. The actual work.
Here is a workflow I built. Here is the problem it solves. Here is the result.
Put it in your Featured section.
Build the next one.
That is the move. The professionals already doing it are getting found. The ones waiting for the right moment are the ones who will be explaining their gap six months from now.
Ready to Figure Out Which Track Makes Sense for You?
Written by
Bill Heilmann