Anatomy of the Great Tech Correction: 2022–2026 in Four Acts
Half a million tech workers were laid off in four years. It wasn't one story — it was four different ones wearing the same headline. Understanding which act you're in changes what you should do.
Between Meta's first-ever mass layoff in November 2022 and Amazon's largest-ever one in October 2025, the tech industry cut more than half a million jobs. Commentary usually treats this as one continuous event — 'the tech layoffs' — but the data tells a different story. There were four distinct phases, with different causes, different victims, and different lessons. Knowing which phase produced a given layoff tells you far more than the headline number does.
Act I: The demand hangover (mid-2022)
The first dominoes were the pandemic darlings. Netflix lost subscribers, Peloton's bikes stopped selling, Shopify's e-commerce-forever bet unwound, Coinbase met crypto winter. These were classic demand-shock layoffs: companies that had scaled for a world that partially reverted. Tobi Lütke's memo said it plainly: 'I got this wrong.'
The lesson of Act I was underrated at the time: markets punished specific bets, not tech itself. Companies with normal demand curves kept hiring through most of 2022.
Act II: The over-hiring correction (Nov 2022 – mid 2023)
Then came the broad correction. Meta (11,000), Amazon (18,000), Google (12,000), Microsoft (10,000), Salesforce (8,000) — in ninety days, nearly every major tech company cut 5–13% of staff. The cause was arithmetic, not apocalypse: big tech had grown headcount 40–60% during 2020–21 on the assumption that pandemic-era growth was the new baseline. Rising interest rates ended the free-money era, investors started rewarding 'efficiency' instead of growth, and the excess was cut.
Two details from Act II still shape today's market. First, Twitter: Elon Musk cut half the company and the product kept running. Executives everywhere noticed. Second, the stock market rewarded nearly every layoff announcement — teaching CEOs that cuts are not just survivable but applauded.
Act III: The quiet reallocation (2024)
By 2024 the headlines shrank but the behavior changed character. Layoffs became smaller, more frequent, and more surgical: SAP restructured 8,000 roles 'in particular [for] business AI', Intuit cut 1,800 and re-hired the same number into AI-focused positions, Cisco cut twice to fund AI and security pivots, Dropbox cut 20% citing an 'AI transition'. Total headcount at these companies barely moved — but who worked there transformed.
This is the phase most analysis missed. The story stopped being 'tech is shrinking' and became 'tech is swapping people'. The layoff and the hiring spree happen at the same company, in the same quarter — which is why record layoffs coexisted with genuinely strong demand for AI, security and data skills.
Act IV: AI says the quiet part out loud (2025–)
In 2025 the euphemisms fell away. CrowdStrike's CEO wrote that AI 'flattens our hiring curve'. Salesforce cut 4,000 support roles and credited its own AI agents. Accenture told staff who couldn't be reskilled for AI they would be 'exited'. Amazon framed its largest-ever layoff around preparing for the 'AI era'. TCS cut 12,000 in the largest Indian IT layoff on record, targeting skills that no longer matched AI-led delivery.
Act IV's defining feature is that the companies cutting are healthy. Record profits, growing revenue, and shrinking headcount — a combination that was rare in every previous tech cycle. That's what makes this phase structural rather than cyclical: there is no recovery to wait for, because nothing is broken by the companies' own measure.
What this means for you
If your layoff risk comes from Act I/II dynamics (over-extended employer, demand normalization), the old advice holds: strong fundamentals, move to healthier companies. But if your exposure is Act III/IV — your tasks are being absorbed rather than your employer struggling — changing companies doesn't help, because every company is running the same playbook. The only durable response is changing your relationship to the technology: from doing work AI now does, to directing, reviewing, securing and building on top of it.
The correction isn't ending. It's institutionalizing. Flat headcount with rising revenue is becoming the business model, and the sooner you plan for that market — rather than the 2021 one — the more options you keep.
Where do you stand?
Turn the analysis into a plan — check your own exposure with the resilience calculator, or see which skills the market is rewarding.