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Anthony Klotz

Silence Before the Exit: Why Employees Quit

Anthony Klotz had just decided to leave Texas A&M. He texted a close colleague — someone he worked with every day — to say he needed to talk. She called back, and before he could get a word out: “Let me guess. You're quitting.”

She wasn't psychic. She'd noticed he'd gotten quieter over the past couple of months. Less chatty. Less “overly communicative,” as she put it. The signal had been there all along.

What she never did was call him out on it.

Anthony is a professor of organizational behavior at University College London and the person who, almost by accident, coined "the Great Resignation" in a 2021 Bloomberg interview. His new book, Jolted, makes a specific research-backed case: About half of all departures trace back to a single triggering event — not a slow accumulation, but a moment that breaks someone's inertia and forces a reckoning. He calls these events “jolts.”

Silence Before the Exit: Why Employees Quit
  38 min
Silence Before the Exit: Why Employees Quit
Work Tech Weekly
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Silence Is the Most-Reliable Pre-Quit Signal

The standard model of turnover is rational and gradual: The bad stuff piles up, the pros stop outweighing the cons, and eventually someone updates their LinkedIn. That model is accurate about half the time.

The other half is messier. People who, by any rational calculus, should stay. People who are miserable but haven't moved. People who quit in a way that doesn't quite make sense from the outside. For them, what's required isn't accumulation. It’s a jolt. “For many people in many situations, what is required to get them to move is some event that knocks them out of their inertia.”

What’s the tell? There's been a lot of research on pre-quitting behaviors. You know: the 54 things people reportedly do as they edge toward the door. Researchers found most of these behaviors weren't reliably predictive. What was predictive?

“People become quieter as they near the exit door,” Anthony says. And it makes sense. If you're sitting in a meeting about where the business is headed in 12 months and you've already mentally checked out, you're not going to pitch the bold new idea.

The problem is that silence reads like a bad week. Leaders — especially busy ones — see a usually engaged employee who's pulled back and assume they'll bounce back. That assumption is usually wrong.

A Retention Strategy for Managers: Notice It and Name It

Anthony's leadership tip isn't complicated: have a direct conversation. Hey, you've seemed a little quieter lately — everything okay? Even when the person is fine, they'll remember that you noticed. That reframe matters for how leaders think about retention. Most organizations aren't set up to catch this early.

Anthony's own colleague spotted it. She noticed the silence, read it correctly, and said nothing. "Why didn't she say something?" he asks, half-rhetorically.

That's not his colleague’s obligation. But what’s the failure point? It's a culture one. And that might be the harder problem to solve. The organizations that figure this out first won't do it with a new survey tool or a retention dashboard. They'll do it by building the kind of trust where someone feels like they can say: "Hey, I noticed you've been quiet.”

That’s a slower build.

AI Is the Next Great Jolt

After he labeled The Great Resignation, lots of people expect Anthony to be some kind of workplace oracle. As an academic, that’s not his happy place. He’s careful not to make predictions he can't back with data. But in the age of AI anxiety, you don’t exactly have to be Nostradamus to figure that AI might fall into the jolt category. He agrees, theoretically, and sees the impact of AI in the workplace operating as both a direct jolt and an indirect one:

  • Directly: when AI absorbs the parts of someone's job they actually love, that's a reckoning.
  • Indirectly: every time a corporate layoff gets attributed to AI — whether accurately or not — it sends a ripple through the workforce.

What’s more interesting is his take on the potential upside if an AI jolt. He frames it with the lottery question, “Would you still keep working if you won?” That question gets 70% of Americans saying yes. But if you dial it in and ask how many would keep their current job, affirmative answers drop to around 10%.

AI, he argues, may help some workers finally create the jobs they want by expanding what’s possible. Solo entrepreneurship, side projects, and career pivots that were once cost- or time-prohibitive suddenly become possible.

I think that’s Anthony’s real takeaway: A jolt should be viewed as an opportunity to live the life you’ve imagined. Life is short. Make the most of your jolts when they come along.

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