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Big Tech · United States

Meta layoffs

We've tracked 6 rounds of Meta layoffs between Nov 2022 and Apr 2026, affecting 34,200 people in total. 26% of them lost their jobs in cuts that Meta or credible reporting tied to AI. Headcounts are what was reported at the time, and some may have changed since.

People affected

34K

Across tracked announcements

Announcements

6

Nov 2022 → Apr 2026

AI-attributed

26%

Of affected people

Every tracked announcement

  1. −8,000(10% of workforce)AI · confirmed

    Announced in April that it would cut about 8,000 jobs, roughly 10% of staff, on May 20 and drop plans to fill 6,000 open roles; CEO Mark Zuckerberg's memo tied the cuts to competing in AI.

    Source: NPR

  2. −1,000AI · likely

    Meta cut about a tenth of its Reality Labs hardware division and closed VR studios as spending moved from the metaverse toward AI.

    About the figure: More than 1,000 jobs; the 10% figure refers to the Reality Labs division, not the whole company.

    Source: CNBC

  3. −600

    Meta cut about 600 roles in its AI organisation, covering its FAIR research, product AI and AI infrastructure teams, to reduce bureaucracy and speed up decisions; the new TBD Lab was spared.

    Source: Axios

  4. −3,600(5% of workforce)

    Meta cut about 5% of its workforce, roughly 3,600 people, in performance-based layoffs after CEO Mark Zuckerberg said he would move out low performers faster; staff were notified from 10 February.

    Source: Fortune

  5. −10,000

    Second round after more than 11,000 cuts in November 2022, announced in Mark Zuckerberg's 'Year of Efficiency' update, which also closed around 5,000 open roles.

    Source: Company post

  6. −11,000(13% of workforce)

    Mark Zuckerberg told employees 'I got this wrong, and I take responsibility for that' after raising investment on the expectation that the pandemic surge in e-commerce would be permanent.

    Source: Meta newsroom

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Part of the WorkforceSignal company directory, every event curated from public reporting with conservative AI attribution. See methodology.