Your Experience Isn't Behind You
Why Experience Wins in the AI Era
Two phone calls in two days. Two former leaders, separately, naming the same thing. And what the recognition revealed about the work that’s still in front of us.
It happened twice in two days.
Two former leaders I worked for, both running organizations of their own now. Separate calls. Both reaching back into a chapter of my career I left more than twenty years ago. Both, separately, telling me the same thing.
The first was a Tuesday. I’d been describing what I’ve been building at work. The AI workflows. The way a small marketing team can show up like a much larger one. He listened. Then he said it almost as a throwaway, mid-sentence:
“I’m not surprised. Just like with other things in the past, you quickly become the Zen master of this one too.”
The next afternoon, the same dynamic with someone else. Twenty-one minutes in, we’d covered what I’d come for. I admitted, gently, that I was hoping for some kind of nugget. Something more than the answers I’d already gotten.
He thought for a beat.
“You’ve always been an active learner and activator of ideas and people. That’s what I always admired about you.”
Always been.
Two phone calls. Two days. Two leaders who hadn’t watched me up close in years. Both saying the same thing in different language.
This isn’t new. We watched you do it before.
I sat with that a long time after I hung up.
The Voice in Your Head Is Lying to You
There’s a feeling that arrives sometime in your fifties and doesn’t introduce itself.
Not a single moment. A slow accumulation. Conversations that move past you. Meetings where you’re informed instead of consulted. Decisions you used to be part of that show up in your inbox, already made.
I’ll call it what I think it is. Invisible obsolescence.
It’s not the same as being told you’re not needed. That would almost be easier. This is quieter. The worry that the world is moving on without you, and that the decades of judgment you spent a career building might not have a place in whatever comes next.
The voice in your head doesn’t say you’re done. It says maybe you should be more realistic now.
That voice is a liar.
But it’s persuasive. And AI gives it a fresh script. Everyone’s racing past you. Better to step aside gracefully.
I hear it from individual readers. I also hear it from the rooms above them. The CEO who can sense her marketing manager talking about AI in language she doesn’t yet command. The senior partner watching his team go uneven. The leader who’s quietly intimidated by a junior person’s fluency and isn’t sure how to admit it.
Different titles. Same voice in the head.
It’s a liar everywhere it shows up.
The Instrument You’ve Been Building
Here’s the part the culture quietly forgets to tell you.
The economist Arthur Brooks made a careful distinction a few years back that I keep returning to. There are two kinds of intelligence working inside us, and they don’t follow the same arc.
Fluid intelligence is the raw processing speed. Working memory. The ability to hold many new variables at once and manipulate them quickly. That kind peaks early. By forty, it’s already in gentle decline.
Crystallized intelligence is different. It’s the accumulated pattern library. The judgment that comes from having watched something play out three or four times. The ability to walk into a meeting and feel, within ninety seconds, where the actual problem is. Even if no one in the room has named it yet.
Crystallized intelligence doesn’t peak in your twenties. It keeps growing. It’s still growing in your sixties and seventies, in many people. The Federal Reserve Bank of Dallas has been measuring this for years and finding the same pattern.
The deeper kind of intelligence shows up later. And it stays.
The instrument you spent forty years tuning, the one that knows what good looks like across a hundred specific contexts, the one that can spot a strategy that won’t survive contact with reality before anyone in the room can articulate why, that instrument is in the prime of its life right now.
Most of the language we use about getting older is about loss. Decline. Winding down. The accumulation gets lost in the framing. So you stop noticing it. You assume the people around you have it too. You start to wonder if the slower processing speed means the whole instrument is in decline.
It isn’t.
That’s true one person at a time. It’s also true across a senior team. The most powerful pattern recognition in any organization usually sits at the top, accumulated over decades, distributed across people who’ve each seen something the others haven’t.
That collective instrument is what AI is actually built to amplify. Most leadership teams haven’t yet figured out how to use it as one.
The Catch-Up Framing Has It Backwards
Most of what’s been written about AI assumes the reader is starting from scratch. The tone is catch-up. Learn the prompts. Learn the techniques. Learn the latest model.
That framing has it exactly backwards.
What AI is bad at, on its own, is knowing what matters. It can produce a hundred plausible outputs in a minute, and most of them will be wrong in subtle ways that only someone with judgment can catch.
It cannot tell you which client will be offended by which paragraph. It cannot tell you why the version that reads cleanest is the version that will be ignored. It cannot tell you that the entire framing is off.
You can.
The instrument you’ve spent your career building is the input AI needs to be useful at any real depth. The richer the context you bring, the better the output. The more specific your judgment, the sharper the result.
The same is true at the leadership team level, with one twist. The teams getting real leverage from AI are not the ones where everyone has identical fluency. They’re the ones where the senior judgment stays in the room, the tool stays in service of that judgment, and the team has built a shared standard for what good output looks like.
The hard work isn’t the tooling. It’s culture and shared craft.
When I started using AI seriously, well before most people were paying attention, the joy I noticed wasn’t in shortcutting work. It was in watching my own thinking come back at me, sharpened. It was in helping a teammate use a tool to extend their reach further than they could on their own. It was in catching myself, mid-conversation with a model, recognizing something I’d known for thirty years that the tool had just helped me articulate cleanly for the first time.
That’s when it clicks.
It’s not that AI is going to replace what I know. It’s that AI is the leverage that finally lets what I know reach further than the room I’m standing in.
Why I’m Building This Now
I’m in my early sixties. I’ve started over more times than I can count.
Self-employed five separate times. Desktop publisher in my twenties. Marketing consultant. Bed and breakfast owner. Marketing consultant again, in a different chapter. Co-founder of a writing project called Aging Outside the Lines that never quite launched.
Moved geographies for work and moved back for family. Been laid off, fired, the survivor of companies sold out from under me. Done the early-career grind, the mid-career build, and what I thought, at the time, would be the late-career consolidation.
What none of it taught me to expect was a third chapter that asked more of me than the first two.
The closest I came to this version of the work was a startup called Mindbloom, more than a decade ago. Personal development platform, gamified, ahead of its time. While I was there, I built relationships with a roster of contributors I still think about. Shawn Achor. Rick Hanson. Michael Bungay Stanier. People whose work I loved, whose ideas I wanted in the room. Then the company got sold, the platform got dissolved, and I went back to a more conventional career path.
An Intentional Age has been sitting on a shelf since then. For years.
What pulled it down was three things at once.
One. I started writing on LinkedIn last year. Just to think out loud. The response that came back wasn’t what I expected. It came mostly from people who’d known me in earlier chapters, reaching out, saying they were thinking about what I was thinking about. The two former leaders I opened with were part of that reach-back.
Two. What was lighting me up at work had nothing to do with my title. It was the moment a colleague looked up from her screen and said wait, I just did this in fifteen minutes. It was watching someone find leverage they hadn’t known was available. That has been my work, in some form, since I was running training and development programs in my early thirties.
Three. I looked around at the people I love most, and at the people my age I respect most, and I noticed something I hadn’t let myself name out loud. We’re all carrying some version of the same question.
Is this the chapter where I quietly compress?
I don’t believe it is. I’m not building this to be inspirational about that. I’m building it because I want to live the answer, and the answer gets clearer in company.
What This Is
A publication. Arrives in your inbox roughly every week. No paywall.
I have other ways I make a living, including AI advisory work I do with senior leaders and leadership teams. You’ll see those mentioned occasionally. The writing itself stays free.
It moves across three concerns that look separate and aren’t:
Purpose. Because the question of what we’re for in our fifties to seventies and beyond is the deepest one available to us, and almost no one is helping us answer it well.
Fluency. Because the tools of this moment are not for the kids, and we are not late to them. We are exactly on time, with more to bring than the conversation has acknowledged. That’s true whether you’re using AI as one person trying to think more clearly, or whether you’re a leader trying to bring a senior team along together.
Belonging. Because none of this can be done alone. The version of a third act that gets written in isolation is the version that gets quietly compressed. The same is true of leadership teams trying to figure out AI in a vacuum. We need each other. I do, anyway. I’m betting you do too.
If any of those concerns is alive in you right now, you’re in the right place.
One Thing Before You Close This Tab
The next time you catch yourself softening a position, or shrinking an ambition, or editing yourself down to sound more “realistic” for someone else’s comfort, notice the move. Don’t judge yourself for it. We’ve all done it. I do it weekly.
Then ask, plainly:
Who is the narrator I’m writing this scene for?
Most of us, when we look honestly, are still writing for an audience that no longer exists. The one that handed out the original opportunities, set the original rules, and quietly suggested when it was time to step aside.
That audience has moved on. The room has changed.
The instrument you’re holding has more range now than when you started.
You get to decide what you do with it.
Subscribe if this resonated. Hit reply and tell me what part landed for you. I read every one.
I’ll see you back here in a week or so. Article two goes deeper into what it actually feels like to bring three decades of judgment into a real conversation with an AI tool.
— Bennie