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AI Tech Layoffs Explained by ex-Meta Principal Engineer

Kun ChenMay 21, 202610m
In a Nutshell

Tech layoffs since 2020 stem from pandemic-era over-hiring followed by rising interest rates that forced efficiency, with hardware demand drops adding further pressure in 2024. AI is now a real driver: companies like Meta are reallocating budgets by laying off non-AI staff to fund massive AI investments and infrastructure, while AI tools enable tiny teams to replace work previously done by hundreds or thousands of engineers. Middle management is shrinking as AI agents need no oversight, and the core advice is to become AI-native immediately or risk being displaced.

AI-Generated Notes

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Meta started another round of layoffs affecting over 8,000 people. This is one of the biggest layoffs in 2024, alongside high-profile layoffs from LinkedIn, Cisco, Cloudflare, PayPal, Snap, Oracle, and other tech companies. The current wave continues a multi-year series of non-stop layoffs across the tech industry.

The speaker, previously an L8 engineer at Meta, Microsoft, and Atlassian, had direct visibility into how AI was transforming these organizations and their responses.

Data from layoff.fyi was analyzed and re-visualized to show every layoff since 2020.

COVID-19 created two distinct effects on the tech industry:

  • Demand decrease: Travel-related companies like Uber, OYO, Groupon, and Airbnb were directly hit by lockdowns
  • Demand increase: Online activities surged as people stayed home, boosting social media, entertainment, and e-commerce companies

Companies experiencing growth assumed it would never end. They built business projections on sustained growth and hired aggressively to support it.

Shopify's 2022 layoff announcement explicitly stated their assumption that e-commerce would permanently leap ahead by five or even 10 years. The growth instead reverted to pre-COVID levels.

Federal Reserve data shows interest rates were nearly zero in 2020, began rising in mid-2022, and remained high thereafter.

  • When interest rates are near zero: borrowing costs are minimal, enabling long-term investment bets

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