AI Didn't Lay Off Those 8,000 People at Meta. The CFO Did.
This week's UKG, Snap, and Meta announcements are being read as an AI replacement story. They are mostly a CFO capex reallocation story with an AI label on the press release. The strategy CEOs build for the first one is wrong for the second.
TLDR This week's UKG, Snap, and Meta layoff announcements are being read as an AI workforce replacement story. They are mostly a CFO capex reallocation story with an AI label on the press release. The distinction matters because the workforce strategy a CEO builds for the first version is the wrong strategy for the second. The myth UKG cut 950 people. Snap cut 1,000, about 16% of its workforce. Meta announced 8,000 cuts effective May 20. All three pinned the announcement on AI. Headlines wrote themselves. Boards saw them. Everyone in the room nodded because it sounded right. The myth is that the layoff wave hitting tech right now is AI replacing workers. It is not really right. Why it sounds right The surface evidence is strong, and I want to give it credit. Snap CEO Evan Spiegel said AI now writes more than 65% of Snap’s new code. Block’s Jack Dorsey said something similar when he announced 4,000 cuts earlier this year. Meta’s memo from Chief People Officer Janelle Gale framed every cut as a way to fund $135 billion of AI infrastructure for 2026. Tech press covers it as a single story. Tom’s Hardware reported in early April that 47.9% of tech-industry Q1 layoffs were attributed to AI. CNBC ran the “AI labor crisis is here” headline last week. Add a CEO’s own engineer saying “we shipped this with three people and Claude,” and the conclusion lands fast. AI is replacing people, and now my company has to react. The story’s shape is clean. Boards prefer clean stories. 8% share of 2026 job-cut announcements that actually cite AI as the reason, per Challenger, Gray & Christmas data What the evidence says The cleaner the story, the more I want to look at the numbers underneath. Three findings deserve to sit next to each other. First, the Challenger, Gray & Christmas job cut report from April 2 found AI was cited in 12,304 job cut announcements year to date, which is 8% of all 2026 cut plans. Eight percent. The 47.9% number running in tech press is a tech-sector-onl