Meta Is Cutting 8,000 More Jobs to Fund Its AI Spending Spree

Zuckerberg is firing 10% of Meta's workforce on May 20 to help cover a $135 billion AI infrastructure bill, with more rounds coming later in 2026.

Meta is about to run its biggest layoff since the 2022 "year of efficiency." Meta will begin companywide layoffs on 20 May, cutting approximately 8,000 employees (10% of its 78,865-person workforce), with additional cuts planned for the second half of 2026.

The framing is familiar by now. Record revenues, record AI capex, and a smaller headcount to help pay for it. I've been tracking these cuts since the January Reality Labs round, and the pattern is hard to miss.

What's Actually Happening on May 20

According to Reuters reporting, the cuts will span most of the company. The layoffs will hit teams across Reality Labs, the Facebook social division, recruiting, sales, and global operations. California WARN Act filings confirm 124 positions at Meta's Burlingame office effective 22 May and 74 at its Sunnyvale facility effective 29 May.

This isn't the opening move. In January, the company cut roughly 1,000 to 1,500 Reality Labs employees, approximately 10% of that division's staff, and shut down several VR game studios. Reality Labs' budget was slashed by 30%. In March, Meta cut another 700 employees across at least five divisions.

The Money Behind the Cuts

Meta's financials make the layoffs look less like survival and more like reallocation. Revenue reached $201 billion, up 22% year over year. Fourth quarter net income was $22.8 billion, beating analyst expectations. Free cash flow for the year was $43.6 billion.

So where's the pressure coming from? Meta's capital expenditure guidance for 2026 is $115 to $135 billion, nearly double the $72.2 billion it spent in 2025. The money is going to data centres, GPUs, and infrastructure for Llama models and recommendation systems, including a $27 billion joint venture with Nebius for a gigawatt-scale AI data centre campus in Louisiana.

Bank of America has a price target of $885 and projected $7 to $8 billion in annualised savings from the restructuring.

Reorganizing Around Superintelligence Labs

Internally, the company is reshaping around its AI bet. Teams are being reorganised into AI-focused "pods" under new Chief AI Officer Alexandr Wang's Superintelligence Labs. Meta has reorganized teams in its Reality Labs division and transferred engineers from throughout the company into a new "Applied AI" organization tasked with accelerating the development of AI agents that can write code and carry out complex tasks autonomously.

Meta poached Scale AI's CEO, Alexandr Wang, and some of his top engineers and researchers after last year's $14.3 billion investment in the company. Jefferies analysts called the move a signal of a broader shift: "if Meta is willing to reduce headcount at this scale while ramping AI investment, we think it signals a broader shift: AI is increasingly driving productivity."

Meta Isn't Alone

The wider tech sector is running the same playbook. The tech industry has shed more than 95,000 jobs across 247 layoff events in 2026, an average of 882 per day. Amazon cut 16,000 in January. Oracle eliminated up to 30,000, roughly 18% of its workforce, to fund $156 billion in AI infrastructure.

Fifty-five per cent of US hiring managers surveyed expect layoffs this year, with 44% citing AI as a primary driver.

Final Thoughts

The thing worth watching here isn't the headcount number. It's whether the AI productivity story actually holds up on the timeline Meta needs it to. The plan assumes that AI-driven efficiency gains will materialize on a timeline that outpaces the depreciation curve. If the technology underdelivers, and Meta's own Llama 4 models have already drawn criticism for misleading benchmark results, the company will have fewer people to execute and a heavier fixed cost base to carry.

Meta's Q1 2026 earnings, scheduled for 29 April, will provide the first financial snapshot of a company that is simultaneously spending more than almost any corporation in history and reducing its workforce at a pace not seen since the pandemic correction. That's the number I'll be watching, not the layoff count itself.

If you're sitting inside one of the affected orgs right now, you have my sympathies. What do you think Meta's AI bet will look like 18 months from here? Drop your thoughts in the comments.