Meta plans to cut 20% of workforce as AI spending reaches $600 billion, mirroring broader tech trend

Reviewed byNidhi Govil

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Meta is preparing to slash up to 20% of its nearly 79,000-person workforce as the company ramps up artificial intelligence infrastructure investments. Top executives have signaled plans to senior leaders, citing efficiency gains from AI-assisted workers. The cuts would mark Meta's largest since 2022-2023, when it laid off 21,000 employees during its "year of efficiency."

Meta Layoffs Target 20% of Workforce Amid Mounting AI Spending

Meta is preparing significant job cuts that could affect 20% or more of its nearly 79,000-person workforce, according to three sources familiar with the matter who spoke to Reuters

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. Top executives have recently signaled the plans to other senior leaders at Meta and instructed them to begin planning workforce reductions, though no exact date or final magnitude has been set

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. The move comes as the company seeks to offset costly artificial intelligence infrastructure bets while preparing for greater efficiency brought about by AI-assisted workers.

Source: Analytics Insight

Source: Analytics Insight

If Meta settles on the 20% figure, the layoffs would represent the company's most significant restructuring since its 2022-2023 "year of efficiency," when it cut 21,000 employees across two rounds

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. The company laid off 11,000 staffers in November 2022, representing roughly 13% of its workforce at the time, followed by another 10,000 job cuts four months later

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AI Infrastructure Drives Massive Capital Investments

Mark Zuckerberg has been pushing Meta to compete more forcefully in generative AI, committing extraordinary resources to the effort. The company plans to invest $600 billion to build data centers by 2028

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. Meta is projected to spend up to $135 billion in AI-related expenses in 2026 alone

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. The company has also embarked on an acquisition spree, purchasing Moltbook, a social networking platform built for AI agents, and spending at least $2 billion to acquire Chinese AI startup Manus

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Source: Inc.

Source: Inc.

Meta CEO Mark Zuckerberg has personally initiated expensive hires during a tense AI talent war, including poaching Scale AI's co-founder in a $14.3 billion deal and offering $100 million signing bonuses to OpenAI engineers

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. The company has offered huge pay packages to court top AI researchers to a new superintelligence team, with some worth hundreds of millions of dollars over four years

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Source: Digit

Source: Digit

Efficiency Gains from AI Justify Workforce Reductions

Zuckerberg has alluded to efficiency gains from AI investments, stating in January that he was starting to see "projects that used to require big teams now be accomplished by a single very talented person"

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. Reuters reported that Meta is now targeting a 50:1 employee-to-manager ratio, a stark departure from the 7-to-15:1 ratio long considered standard

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Bernstein analyst Mark Shmulik estimates Meta could realize $2 billion to $4 billion in cost savings this year and $5 billion to $8 billion in 2027 from a 20% headcount reduction, translating to 3%-5% EPS upside in 2026 and 4%-7% in 2027

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. However, he noted these savings are more likely to be redeployed into AI infrastructure than returned to shareholders.

Tech Industry Trend Reflects Broader Pattern of AI-Driven Job Cuts

Meta's plans mirror a broader pattern among major U.S. companies, particularly in tech, this year. Executives have pointed to recent improvements in artificial intelligence systems as one reason for the changes

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. In January, Amazon confirmed it would cut some 16,000 jobs, amounting to nearly 10% of its workforce

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. Last month, fintech company Block chopped nearly half of its staff, with CEO Jack Dorsey explicitly pointing to AI tools and their growing capability to help companies do more with smaller teams

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Dorsey made a blunt prediction to investors that within a year, most companies would reach the same conclusion about AI-enabled workforce reductions

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. Shmulik warned that if Meta succeeds in redrawing the blueprint for an AI-enabled organization, "others will rush to replicate it," potentially triggering "a cascade of hurried pivots, half-formed strategies, and reactive restructuring across the ecosystem"

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AI Talent and Acquisitions Fail to Deliver Public Wins

Meta's planned AI investments follow a series of setbacks with its Llama 4 models last year, including criticism that it provided misleading results on the benchmarks it used for early versions

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. The company abandoned the release of the largest version of that model, called Behemoth, which had been due out in the summer

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. The superintelligence team has been working to reassert the company's standing this year by building a new model called Avocado, but the performance of that model has also lagged expectations

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CNET AI expert Katelyn Chedraoui noted that "Meta has been spending big to keep up with its AI ambitions, from hiring to data center construction. But all that cash hasn't led to many public wins, with recent reports saying it will delay the release of its new foundational model, named Avocado"

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. A Meta spokesperson told Fortune the reporting was "speculative" about "theoretical approaches," though the company did not outright deny the plans

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