Meta Begins 8,000 Job Cuts Amid $145B AI Spending Push

The social media giant is cutting approximately 8,000 positions this week as it redirects resources toward artificial intelligence development. The reductions follow earlier cuts of roughly 1,000 workers from the Reality Labs division in January and several hundred more in March.

Current and former employees describe an atmosphere of uncertainty at the company, according to reports. Additional layoffs are anticipated later this year, with another potential round expected in August.

The workforce changes coincide with a substantial increase in capital spending. Last month, the company raised its 2026 capital expenditure guidance by up to $10 billion, bringing the total to as high as $145 billion.

In internal communications about the job cuts, leadership framed the reductions as necessary to maintain operational efficiency while funding strategic investments. The company also decided to move content moderation work away from third-party vendors and contractors.

The tone surrounding these layoffs differs markedly from the company's 2022 workforce reductions. CEO Mark Zuckerberg previously sent an apologetic message to staff acknowledging hiring mistakes during the pandemic.

I got this wrong, and I take responsibility for that, Zuckerberg wrote.

This time, the company characterized the cuts as part of efforts to run the company more efficiently and offset other investments being made.

The workforce reductions are part of a wider pattern across the technology sector. Nearly 110,000 layoffs have occurred at 137 tech companies so far this year, according to Layoffs.fyi. That figure compares to roughly 125,000 cuts during all of 2025.

The company recently launched its personal AI agent Hatch, which benefits from integration into existing applications. This positioning mirrors similar moves by competitors developing AI assistants within established platforms rather than as standalone services.

The company's ownership of its computing infrastructure provides a cost advantage for AI development. Unlike providers that must pay for third-party computing resources, the social media giant runs its assistants on proprietary systems.

Research indicates more than six out of every 10 U.S. consumers had used a dedicated AI platform in the past year, suggesting growing demand for these services. The company is building its AI capabilities for users already active on its existing platforms.