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Tech Layoffs: AI or Pandemic Hypergrowth to Blame?

Tincho Fuentes··8 min read
Tech Layoffs: AI or Pandemic Hypergrowth to Blame?

TL;DR:

  • Between 2022 and 2023, mass tech layoffs were a direct consequence of pandemic overhiring, not AI.
  • Since 2024, AI automation has become a real and growing factor: 27.3% of tech layoffs in 2025 were explicitly linked to AI.
  • Both forces are real, but they operate in distinct phases — and some companies have conveniently used the AI narrative to mask other financial pressures.

The Headline Everyone Gets Wrong

Every week brings another wave of tech layoffs. Thousands of people open an email on a Monday morning to find out they no longer work at Google, Meta, or Amazon. The media frames it with a single narrative: AI is eating jobs.

But the data tells a more complex — and more uncomfortable — story.

This article investigates what's actually behind the massive job cuts in the tech industry from 2022 to today: Was it hypergrowth that ran out of control during the pandemic, or is it real AI-driven displacement? The answer isn't one or the other. It's both — but at different times.

Phase 1 (2022–2023): The Hypergrowth Hangover

The Pandemic Feast

When the world locked down in 2020, tech companies experienced an unprecedented boom. Zoom's revenues grew more than 4x in a single year. Peloton reported a 172% surge in sales. Shopify nearly doubled its income. Meta went from 44,000 employees in 2019 to 87,000 in 2022. Amazon essentially doubled its workforce, from 798,000 to 1.5 million employees.

The logic seemed sound: the digital world had arrived to stay. E-commerce, remote work, home fitness, streaming, video calls — everything pointed to a permanent shift in human behavior. Companies hired aggressively to capture that demand.

They were wrong.

The Inevitable Correction

The vaccines arrived. People went back to offices, gyms, and restaurants. The digital demand that seemed structural turned out to be largely circumstantial. And companies found themselves with bloated headcounts their actual business couldn't sustain.

What followed was a systematic wave of layoffs. The most revealing part: what the executives themselves said when announcing the cuts.

  • Mark Zuckerberg (Meta, November 2022): "I got the pandemic wrong. I thought the digital growth would be permanent." Meta cut 11,000 employees that month and another 10,000 in March 2023.
  • Tony Xu (DoorDash, November 2022): Publicly admitted they had hired "too many people" during the pandemic to meet demand that wasn't going to last. 1,250 jobs cut.
  • Eric Yuan (Zoom, February 2023): The CEO who slashed his own salary by 98% called it "unsustainable growth" after over-hiring during the pandemic. 1,300 jobs cut (15% of workforce).
  • Tobias Lütke (Shopify, May 2023): Called it "over-investment during the pandemic" when announcing 2,000 layoffs (20% of staff).
  • Daniel Ek (Spotify, December 2023): Justified the departure of 1,500 employees (17%) by pointing to "over-recruitment" during the pandemic period.

The pattern is unmistakable. In nearly every case, the stated reason was the same: we hired too many people when demand was artificially high, and now we're returning to numbers that the real business can sustain.

CompanyPandemic PeakLayoffs% of WorkforceStated Reason
Meta87,000 employees (2022)21,000 (2022–2023)~24%Miscalculation on post-pandemic demand
Amazon~1.5M employees (2022)27,000 (2022–2023)~2%Over-hiring for record demand
Shopify11,000 employees (2022)2,000 (2023)20%Pandemic over-investment
ZoomRevenue ×4 in 20211,300 (2023)15%Unsustainable growth
PelotonSales +172% (2020)3,200+ (2022–2024)~35%"Pandemic money" overestimated
Spotify345M → 601M users1,500 (2023)17%Over-recruitment 2020–2021

Sources: Reuters, Infobae, Xataka, official company press releases.

Phase 2 (2024–2025): AI Enters the Picture

The Numbers Shift

Through 2023, AI was rarely cited as a direct cause of layoffs. But 2024 and 2025 data shows a significant turn.

According to the IEEE ComSoc Technology Blog, of the 184,000 global tech layoffs recorded in 2025, 50,184 were directly linked to AI and automation implementation — representing 27.3% of the total. In 2024, that proportion was below 8%.

According to Layoffs.fyi, the global figures are:

  • 2024: 152,922 layoffs across 551 companies
  • 2025: 124,201 layoffs across 271 companies (more concentrated, more strategic)
  • 2026 (through March): 35,650 layoffs across 50 companies

Cases That Can't Be Blamed on the Pandemic

Some recent examples simply cannot be explained by post-COVID corrections. These are structural decisions tied to automation:

Klarna (fintech, 2024–2025): The Swedish company announced that its AI assistant was performing the equivalent work of 700 full-time customer service agents. It reduced its workforce from 5,000 to ~3,800 employees. CEO Sebastian Siemiatkowski publicly stated that AI was capable of replacing all jobs — including his own. (Months later, he admitted the chatbot's quality was inferior and they would start hiring humans again — a reversal that also reveals a lot about the actual state of the technology.)

IBM (2023–2025): The company announced plans to replace 30% of its back-office roles with AI over five years, equivalent to ~7,800 positions. It had already paused hiring in areas like human resources.

Duolingo (January 2024): The language-learning app cut 10% of its contractor workforce, with spokespeople acknowledging the decision could "be attributed to AI." The company declared a pivot to being "AI-first."

Microsoft (May 2025): Announced 6,000 layoffs, predominantly software engineers. The context: Satya Nadella had confirmed weeks earlier that 30% of Microsoft's code was now written by AI.

Amazon (October 2025): The largest corporate headcount reduction in the company's history: 30,000 employees from central offices. Amazon explicitly cited reducing bureaucracy and AI adoption as factors in the restructuring.

What the IMF Says

A May 2025 report from the International Monetary Fund estimated that approximately 40% of global employment is exposed to AI, a figure that rises to 60% in advanced economies. Not all those jobs will disappear, but many will be transformed or reduced.

The Convenient Narrative

This is where the analysis gets complicated.

A Harvard Business Review article from January 2026 documents a troubling phenomenon: many companies are laying off workers based on AI's potential, not its actual performance. In other words, they're cutting headcounts in anticipation of capabilities that don't yet exist or haven't been proven in production.

The Klarna case is emblematic: the company trumpeted that AI was replacing 700 employees, then months later had to admit the chatbot was inferior and they needed to hire humans again. The "AI does everything" narrative turned out to be marketing more than operational reality.

This suggests that AI is also being used as a narrative justification for cuts driven by other pressures: financial margins, investor expectations, or simply Wall Street's appetite for leaner structures. When stock prices rise after announcing "AI-driven" layoffs, the incentive is obvious.

This dynamic — using AI as cover for economically motivated restructuring — is perhaps the least-discussed aspect of the current wave. As the HBR research notes, the signal companies send to markets by invoking AI is often more valuable to them than whatever automation they've actually deployed.

Two Real Phenomena, One Misleading Headline

The conclusion of this investigation:

The first wave of layoffs (2022–2023) was primarily a hypergrowth correction. The data is clear: the same companies that doubled or tripled their headcounts during lockdown reduced them once demand normalized. The CEOs said it explicitly. AI had very little to do with it.

The second wave (2024–2025 onward) does incorporate a real and growing AI component. The 27.3% of tech layoffs in 2025 linked to automation is not statistical noise. Klarna, IBM, Microsoft, Duolingo, Amazon: these are signals of a substitution process that is beginning — even if at a slower pace than the headlines suggest.

And there's a third layer: some companies use "AI" as a convenient narrative for cuts motivated by financial pressure, knowing the market reacts favorably to the signal of "we're efficient with AI."

For workers in the sector, understanding this distinction matters. Being laid off because your company bet wrong during a pandemic — a circumstantial, potentially reversible situation — is fundamentally different from having your role systematically automated. These are different threats that require different responses.

The honest framing isn't "AI vs. hypergrowth." It's a sequence: hypergrowth created the mass hiring, the correction created the first wave of layoffs, and now AI is beginning to drive a second wave — smaller, more targeted, but more permanent.

That's the story the data actually tells.

Sources

Tincho Fuentes — Tech journalist and investigative researcher 🚀