Most Layoffs Don't Cut the Bottom Performers. They Copy the Last Company.

Most big layoffs aren't a verdict on the people cut. They're a company catching a behavior from its competitors. The 2022-23 tech layoff wave fit an epidemiological infection curve, not a model of independent firms making rational cost decisions. If you got cut, the data says the cut tells you almost nothing reliable about how good you are at your job.

That's a harder thing to believe than the alternative. The alternative is that you fell short, that someone reviewed the talent and you came up light, that the system worked and you lost. It feels more honest to blame yourself. It's also mostly wrong. The cleanest way to see this: layoffs spread between companies the way a cold spreads through an office. One firm sneezes, the rest catch it, and everyone later writes a press release explaining why it was strategic. It's the same logic that turns a return-to-office mandate into a layoff without the severance: a headcount decision dressed up as something more deliberate.

Why do so many companies lay off at the same time?

Because they're watching each other, not their own numbers. Within roughly a month in January 2023, Google, Microsoft, Amazon, Meta, Salesforce, and IBM all announced cuts. Google's January 2023 cut landed one week after activist investors publicly called for headcount reductions, and the CEO cited "a moment of economic uncertainty," the same phrase Meta, Microsoft, and Amazon all reached for that same month.

Stanford's Jeffrey Pfeffer calls this what it is: copycat behavior spreading through a network as companies almost mindlessly imitate each other. A researcher modeled the whole 2022-23 wave as a Susceptible-Infectious-Removed curve, the same math used for outbreaks. Companies that hadn't cut yet became "susceptible" as peer pressure and investor comparison mounted, then "infected," then they cut. The wave moved like a contagion because that's what it was.

And the market has stopped buying the story. Goldman Sachs research from December 2025 found companies announcing layoffs saw their stock fall about 2% on average, with investors now reading a layoff as a negative signal about a company's prospects. The thing executives do to look decisive is now the thing that makes them look weak.

If it's not performance, how do these decisions actually get made?

By headcount target first, names second. The performance story gets attached afterward to make the math feel like a judgment.

Look at the order of operations. Before its 2024 cuts, Meta told managers to classify 15 to 20% of their teams as "below expectations" even when those teams were performing well, and many of the people let go had recent positive reviews. The "below expectations" label didn't drive the decision. The headcount decision drove the label.

The broader pattern backs this up. A July 2024 Resume Builder survey of 600 business leaders found 80% chose a layoff over individual terminations, half said 75% of their cuts had nothing to do with cost-cutting, and only 31% said performance was always even considered. Companies use the cover of a layoff to clear people they didn't want to manage out properly, and to hit a number that came down from above.

So when you ask "are layoffs effective at cutting the weakest people," the honest answer is no. They cut the cheapest-to-cut, the most recently hired, the teams furthest from this quarter's priority. Quality barely enters it.

Are layoffs effective for the companies doing them?

Mostly not, and the evidence runs deep. This matters to you because it confirms the cut was a bet, not a correction of a mistake you made.

Study	What it found
AMA downsizing survey	Only 47% of companies that downsized saw higher operating profits the next year; productivity was as likely to fall as rise
Datta 2012 review of 20 studies	Neutral-to-negative stock effects after announcement; profitability declines lasting up to three years
Cascio's 37-year study of 43,000 companies	Firms quick to lay off consistently underperformed peers that didn't
Amabile study	After one Fortune 500 tech firm cut 15% of staff, new inventions fell by nearly a quarter

And the newest twist: the "we're cutting because AI made roles redundant" story isn't holding either. A 2026 Gartner study of 350 global executives found 80% who piloted AI reported workforce reductions, but there was zero correlation between those cuts and higher ROI. Reduction rates were nearly identical for high-ROI and poor-ROI companies. The layoffs happened regardless of whether the AI worked. That's contagion wearing a new costume.

What does a layoff actually say about you, then?

It says your employer made a bet that didn't land, or hired too fast, or had a CFO who needed a visible line item. Weak reading versus strong reading:

Weak: "I was laid off from Stripe, so I must not be good at my job."

Strong: Stripe cut about 14% of staff in November 2022, after the kind of fast hiring that defined the prior two years. The cut tracked a funding-rate correction, not an engineering-quality signal. Those same engineers were landing senior roles at peer companies within weeks.

Weak: "Google laid off 12,000 people after years of saying they only hire the best, so those 12,000 must have slipped through."

Strong: Google's cut came a week after investors demanded it and the CEO blamed macro uncertainty, the identical reason every other giant gave that month. Twelve thousand people didn't simultaneously become bad at their jobs in January.

The signal worth reading isn't "was I cut." It's "what does the market actually need right now, and do I have it." That second question is real, recoverable, and the only one worth your energy.

Doesn't "it wasn't about you" let me off the hook from real self-assessment?

This is the trap, and it's worth naming. "It wasn't about you" can curdle into "so I have nothing to learn," and that's its own way of losing.

Here's the honest split. The layoff isn't evidence of a performance failure. But your re-entry into the market is real data about your current fit. Those are different audits, and you owe yourself the second one without the guilt of the first.

The right move isn't to skip reflection. It's to point reflection at the right target. Not "what did I do wrong to deserve this." That question has no useful answer when the cut was contagion, in the same way most rejections are about fit, not a flaw in you, and treating them as a personal indictment just keeps you stuck. Instead: "Which of my skills do the companies hiring right now actually pay for, and where's the gap." One question loops you in shame. The other turns into a plan.

And the cost of getting this wrong is measurable, which is exactly why you don't want to marinate in it. Job displacement carries a 9% persistent earnings reduction that lasts 10 years, and a chunk of that gap comes from people anchoring to their old role and old comp instead of repricing to where the market is now. The faster you move from grief to market audit, the smaller that gap gets.

What's the real cost nobody puts in the press release?

The human bill, and it lands on the people who stay too. Layoff survivors show a 41% drop in job satisfaction, a 36% decline in organizational commitment, and a 20% fall in performance. The team that "won" by keeping its jobs quietly disengages. That's part of why the productivity gains never show up.

For the people cut, it's heavier. The research links layoffs to 2 to 2.5 times higher odds of suicide and a 15 to 20% increase in mortality over the following 20 years, and job loss knocks roughly 1.4 years off the life expectancy of a 40-year-old. Read those numbers and you understand why internalizing a layoff as a personal failing is not a neutral act. The story you tell yourself about why it happened has real weight.

So tell yourself the accurate one. A contagious decision by people three levels above you is not a referendum on your worth.

Name the trade-off

The reframe has a cost, and pretending it doesn't would be its own kind of BS. "It wasn't about me" is comforting, and comfort can make you lazy about the parts that were about you: the skill that's gone stale, the network you never built, the narrative that doesn't yet add up to one big story.

Here's the trade you're actually making. You can spend the next month proving to yourself you were good enough, which changes nothing and shrinks your runway. Or you can accept that the verdict was never reliable, drop the case, and spend that month finding out what the market wants and closing the gap. The first feels like justice. The second is the one that pays.

Consistency beats intensity here too. A frantic week of applying to 200 jobs from a place of panic loses to a steady fortnight of honestly auditing your skills, fixing the two real gaps, and applying to 20 roles you're genuinely fit for. That volume spike is a symptom, not a strategy, and it's usually the first thing a layoff triggers.

What to do now

1. Write the accurate sentence. Not "I got cut because I wasn't good enough." Instead: "My company made a bet that didn't land, and I was in the part of the org that got repriced." Say it until it's the default story.
2. Run the market audit, not the performance autopsy. Pull 10 live job postings for the role you want next. List what they ask for. Mark what you have and what's gone stale. That list is your plan.
3. Reprice deliberately. Decide your number based on the market today, not the comp you walked in with. Anchoring to the old figure is how the 9% earnings gap becomes permanent.
4. Build the one story. Don't apply as "laid-off engineer." Apply as the person who shipped the specific thing. One clear story beats a clean tenure line every time.
5. Move within the week. The mortality and earnings data both point the same way: the longer you sit in the verdict, the more it costs. Agency is the antidote, and you have more of it than the moment makes you feel.

You didn't fail a test. Your employer caught something going around. Now go find out what the market actually needs and whether you have it, because that's the only question with a useful answer.

Want to run that market audit without the guilt spiral? Message Praxy on WhatsApp. We'll pull what your target roles really ask for, find the two gaps worth closing, and rebuild your story around the thing you actually shipped.