Top tech analyst says Mark Zuckerberg is set to complete what Jack Dorsey began: an AI-related ‘cascade’ of layoffs across the tech sector
(SeaPRwire) – Bernstein analyst Mark Shmulik issued a caution to clients regarding Meta’s reported intentions to reduce its approximately 79,000-person workforce by 20% or more. He wrote that if Meta successfully redefines the structure of an AI-enabled organization, “others will rush to replicate it,” potentially initiating “a cascade of hurried pivots, half-formed strategies, and reactive restructuring across the ecosystem.”
The financial implications are significant. Shmulik estimates that even with a 20% headcount reduction, Meta could achieve $2 billion to $4 billion in cost savings this year and $5 billion to $8 billion by 2027, leading to a 3%–5% EPS increase in 2026 and 4%–7% in 2027. However, he quickly pointed out that these savings are more likely to be reinvested into AI infrastructure rather than distributed to shareholders. Meta already plans to allocate $600 billion to data centers by 2028 and recently acquired AI startup Manus for at least $2 billion.
The significance of this moment lies not in the magnitude of the cuts, but in their context. Less than three weeks prior, Jack Dorsey laid off nearly half of Block’s 4,000 employees and made a direct prediction to investors: most companies would reach the same conclusion within a year. He didn’t have to wait that long.
Zuckerberg has been communicating a similar rationale. In January, he mentioned observing “projects that used to require big teams now be accomplished by a single very talented person.” Reuters reported Friday that Meta is now aiming for a 50:1 employee-to-manager ratio, which is unprecedented compared to the long-standing standard of 7-to-15:1.
The competitive pressure is already evident elsewhere. Amazon confirmed 16,000 job cuts in January. Salesforce CEO Marc Benioff has stated he “needs less heads” after reducing his customer support workforce by 4,000. Economist Anton Korinek previously told that this trend could signal “the beginning of a new era where white-collar jobs become threatened more seriously by AI. Once a few companies start the trend, competitive forces may induce others to follow suit.”
The core question Shmulik raises—and leaves unanswered—is whether these reductions are genuinely driven by AI or if AI is merely providing a convenient justification for cost-cutting measures that would have occurred regardless. He wrote that “Fat exists in every organization,” but it’s “usually not as clean as being concentrated in specific teams or individuals.”
A Meta spokesperson told that “This is speculative reporting about theoretical approaches.” However, that theoretical approach could, of course, initiate a cascade of cuts.
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