The Ampersand April 2026
A Knock at the Door
By Adam Pekarsky
Dear Friends and Colleagues,
Cast your mind back to February 2020.
The world, in hindsight, was perched on the edge of something seismic. But it didn’t feel that way. Markets were humming. Kids were in school. We were shaking hands, booking flights, and blowing out birthday candles. A few buried headlines about a faraway virus felt distant and abstract. And then—within weeks, and then hours—offices closed, schools shut down, toilet paper became currency, and just like that, everything changed.
A recent article by AI founder Matt Shumer suggests we may be in a similar moment again. Only this time, the contagion isn’t viral. It’s artificial. His argument is simple—and unsettling: AI has crossed a threshold.
Not incremental improvements—faster emails or cleaner summaries—but something more fundamental. Systems that can write code, analyze financial models, draft legal arguments, and complete complex tasks with minimal supervision. Not drafts. Finished freaking work.
He describes a shift from AI as a helpful tool to something closer to a colleague—or, in some cases, a replacement. Give it instructions in plain English, go grab a coffee, and return to work that, until recently, required a trained professional.
The implication is that a meaningful portion of what we think of as white-collar work is about to change, and quickly. Entry-level roles, in particular, may be exposed. The old advice—get good grades, land a stable job—may be pointing young people toward increasingly uncertain ground, something I wrote about last October (The Kids are Alright). The larger picture he paints doesn’t stop there. Namely, a world where AI accelerates breakthroughs in medicine and science—or, alternatively, introduces severe economic and geopolitical disruption (though the humans seem to have that one well in hand).
His core message is this: the upside is staggering, the downside sobering and the future already here. It just hasn’t knocked on everyone’s door yet—but you can hear it coming.
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SubscribeWell, it has knocked on ours. And I answered. Claude, Otter, Copilot, like so many trick-or-treaters looking for candy, or in this case, ready to take whatever you’re willing to hand over. There was a moment—standing there, peering through the peephole—where I considered quietly backing away and pretending I wasn’t home. But curiosity got the better of me.
And while what I found on the other side was undeniably impressive—polished, efficient, and remarkably capable—it also left me with a few questions.
So, if you’ll permit me, a slight clearing of the throat.
Standing there, looking at what was in front of me, I got to thinking about what this might mean for our humble enterprise—and the very human undertaking of executive search.
I’ve long believed that “Executive Search” is a bit of a misnomer. The search part—at least in its traditional sense—was commoditized years ago. Gone are the days of Michael Honey, a truly patriarchal figure in Western Canadian executive search, and one of my early mentors, sitting on an old rolling library stool, a hunched silhouette in the cornfield maze of hand-cranked shelving systems, thumbing through paper files and printed resumes in search of possibility.
I wrote about Michael—and this precise theme—seven years ago, well before AI was a thing. Even then, the shift was underway with tools like LinkedIn and recruitment-specific CRMs and customizable databases. Today, AI can now map entire talent markets in seconds. The Rolodex, once guarded and hard-earned, now belongs to everyone. Information is abundant. Access is universal. The library stool and mobile shelving units, relics of a different era, now feel more like hieroglyphics scratched on a cave wall—faint reminders of how the work was once done.
So if AI can identify candidates faster, summarize backgrounds better, and even draft outreach that sounds suspiciously like something we’d write… what exactly is left?
Quite a lot, actually.
Because as I’ve said for years, the real work was never the search. It was the judgment. It’s the moment across the table when you ask a question that isn’t in the spec—and then sit in the silence that follows. It’s how someone talks about failure. The difference between confidence and ego. Between resilience and rehearsed answers. Between false modesty and genuine humility.
But it’s also what you do with that information.
It’s the ability to take a career that reads one way on paper and tell the story that actually matters. To connect the dots between roles, decisions, inflection points—and help a client see not just what someone has done, but who they could be.
More than search, it’s advocacy.
On one side of the table, you are helping a client understand why this person—imperfect, human, nuanced—is the right bet. On the other, you are helping a candidate see something in an opportunity they may not have fully appreciated. You are, at times, gently pushing. At times, pulling. We are translators. And translation, turns out, is not about language. It’s about meaning.
AI can process information. It can identify patterns. It can even simulate empathy. But it cannot feel a room shift. It cannot sit with ambiguity. It cannot reconcile the messy, human variables that sit underneath every major decision—ego, fear, ambition, family, timing, doubt, and insecurity.
Executive search, at its best, is applied psychology, risk management, storytelling, and trust-building. And here’s the interesting part: the more powerful AI becomes at processing information, the more valuable human judgment becomes at interpreting it.
AI may have an abundance of IQ. Executive search, at its best, is where EQ meets IQ. Which suggests this might be less a competition—and more a partnership.
But there’s another dynamic at play—one I think we may be underestimating. As the world becomes more digital and efficient, people don’t just adapt—they react. They start to crave what’s been lost along the way—tactile experiences, imperfect interactions, something that feels real.
You can see it everywhere. In a world of perfect digital streaming, vinyl records are making a comeback. In a world of infinite content, bookstores—once declared dead—are full again, not because they’re efficient, but because they’re curated. By humans, for humans. In a world of constant digital stimulation, board games have resurged, drawing people back to tables, to conversation, to something real. Farmers’ markets thrive in the age of global supply chains.
Recently, my kids even gave up social media as a form of rebellion. In my day, we smoked cigarettes.
And in what might be my favourite recent example, at our annual New Year’s Eve party, a group of twenty-somethings were belting out American Pie, Piano Man, and My Way—not exactly lip-syncing Drake or Travis Scott. In a world saturated with the new, they reached back for something older, shared, and real. And, as if more examples were needed, my nearly 25-year-old daughter has discovered that Friday night bingo at the Canmore Legion is a pretty great way to spend an evening. Bingo. At the Legion. Clickety-click, 66.
I think when everything becomes fast and algorithmic, people start craving texture—things that are imperfect, human, earned. Or like the faint crackle of a vinyl record in that moment after the needle drops and before the music begins.
And I’m here to say that executive search is texture.
Boards making consequential leadership decisions aren’t looking for the most efficient answer. They’re looking for conviction. For context. For someone who can say, quietly, “I’ve met this person. I’ve sat with them. I believe in them.”
Could AI produce a shortlist? Absolutely. Can it own that recommendation? Can it call a reference who hesitates—just slightly—and understand what that hesitation means? Can it help a candidate weigh a career move where compensation, identity, family, and risk are all tangled together?
And that is what the AI revolution, ironically, amplifies: trust.
When uncertainty rises, people cling to relationships. When noise increases, they seek a signal—from people they know and trust. No, executive search isn’t about searching. It’s about judgment. And judgment is forged in experience, context, pattern recognition, and—dare I say—empathy. Not the simulated kind. The earned kind.
It’s April 1st. Which feels like an appropriate moment to say this: Don’t be fooled. AI is real. It’s powerful. It will change how we work—profoundly in some cases. But it doesn’t change what matters most. It doesn’t replace trust. It doesn’t replace judgment. And it doesn’t replace the human ability to sit across from someone, look them in the eye, and decide—on behalf of a client, with real consequences attached—that this is the person. That moment still belongs to us.
So yes—learn the tools. Use them. Embrace them. But don’t confuse capability with wisdom.
Because the future may be knocking loudly. It may even let itself in. But when it comes to the decisions that matter—the consequential ones, the human ones—we still choose who we invite to sit at the table.
And that, at least for now, remains a decidedly human call.
BINGO!
Regards,
Adam
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