Meta Plans to Cut 20% of Workforce — AI Costs Strike Back

Meta Plans Historic Layoffs

In an exclusive report Friday March 13th, Reuters revealed that Meta is planning massive layoffs that could affect 20% or more of its workforce — over 15,000 employees. This would be the largest layoff in Meta's history.

The driver is straightforward: AI costs are spiraling. Meta has committed to over $60 billion in AI infrastructure capex in 2026, and the math doesn't balance without drastic cuts to headcount.

Context: A Double Crisis

The news comes simultaneously with confirmation that Meta's flagship AI model Avocado (codename) has been delayed to May 2026. The model — built by the internal elite unit TBD Lab — is meant to replace Llama, but has underperformed against Google Gemini 3.0 in internal tests on coding, reasoning, and writing.

Yann LeCun, Meta's longtime Chief AI Scientist and one of the field's "godfathers," left the company last November and is now launching AMI Labs with $1 billion in backing (see separate article).

Wall Street Reacted Positively

Paradoxically, Meta's stock rose nearly 3% on the layoff news — investors interpret it as cost correction. "This is speculative reporting about theoretical approaches," a Meta spokesperson said.

What This Means for the Industry

• Block recently announced 40% cuts. AI-driven efficiency gains are being used as justification for mass layoffs.
• The pattern is clear: companies are replacing human roles with AI capacity — not as a future plan, but as a present reality.
• Companies still spending heavily on manual data processing, reporting, and support functions should prepare.

My take: For CIOs, this is a strong signal: AI investments don't come free — they require structural rebuilding. Meta is doing it hard and fast. The question is no longer "if" AI replaces roles, but "when" and "which ones." Organizations should already have a clear map of which functions are vulnerable — and what they plan to do with those people.