Meta confirmed on April 23rd that it will cut approximately 8,000 employees - roughly 10% of its global workforce - with layoffs beginning May 20th. The company simultaneously announced it will not fill 6,000 open roles that had previously been approved for hiring. The cuts are not driven by financial distress. Meta reported $59.89 billion in Q4 2025 revenue and $22.77 billion in net income, both quarterly records.
The logic is reallocation. Chief People Officer Janelle Gale told staff in an internal memo that the company is running cuts as part of its continued effort to operate more efficiently and offset its other investments. Those investments are staggering. Meta expects to spend between $115 billion and $135 billion on capital expenditures in 2026, more than double its $72.2 billion spend in 2025. The bulk of that capital is flowing into AI infrastructure and Mark Zuckerberg's Meta Superintelligence Labs division.
A Broader Pattern Across Big Tech
Meta is not alone. The same week, Microsoft offered voluntary buyouts to thousands of longer-tenured US employees. Snap announced cuts of approximately 1,000 jobs, representing about 16% of its workforce, while also eliminating more than 300 open positions. Snap cited rapid AI advancements enabling smaller teams to achieve the same output, with AI already generating over 65% of its new code. Amazon has disclosed plans to cut around 16,000 workers this year. Salesforce announced roughly 1,000 cuts tied to automation. Industry trackers put total 2026 tech layoffs above 96,000 so far.
The message from boardrooms is consistent. AI is not replacing workers as a cost-cutting move in the traditional sense. It is changing how many people are needed to execute the same scope of work. Zuckerberg has said directly that AI tools are dramatically enhancing productivity, enabling smaller teams to accomplish what previously required much larger headcounts.
What This Means for Business Leaders
This moment is clarifying something C-level executives have been circling around for two years. The productivity gains from AI are now large enough to show up in workforce planning decisions at the largest companies in the world. Meta is essentially bet that AI infrastructure investment today creates more long-term value than maintaining its current staffing levels.
One detail worth watching: Meta also disclosed this week that it has begun tracking and logging employee keystrokes and computer interactions to train its AI models. The policy sparked internal concern given the timing alongside layoff announcements. The combination of workforce reductions, keystroke monitoring, and $135 billion in AI spending in a single week tells you everything about where this industry is heading.
For anyone advising or running businesses that use Meta's advertising platforms, the structural shift also has practical implications. Capital that previously funded headcount at Meta is now flowing into AI products. The platforms you rely on will be increasingly AI-driven in how they target, optimize, and price advertising inventory.
