Meta Stock Climbs on Plans for AI-Fueled Job Cuts

Key Moments

Meta shares gained more than 3% in premarket trading by 05:18 ET after reports the company may cut over 20% of its workforce.
Potential layoffs are aimed at offsetting heavy spending on AI infrastructure, including an announced $600 billion data center buildout by 2028.
Analysts estimate that a roughly 20% reduction in staff could yield between $5 billion and $8 billion in annual cost savings.

Report: Meta Explores Deep Workforce Reductions

Meta is weighing large-scale job cuts that could involve more than one-fifth of its employees as it boosts investment in artificial intelligence infrastructure, according to a Reuters report citing people familiar with the situation.

The report said the move is under consideration but not yet finalized, and no timeline has been determined. Top executives have recently outlined their intentions to senior leaders and directed them to start identifying where reductions could be made, with the goal of offsetting rising AI infrastructure spending and positioning the company for higher efficiency from AI-assisted employees.

Meta shares were up more than 3% in premarket trading by 05:18 ET following the news.

Potential Cuts Would Be Largest Since “Year of Efficiency”

If Meta moves forward with layoffs of around 20%, it would represent the company’s largest workforce reduction since its restructuring in late 2022 and early 2023, which it labeled the “year of efficiency.” Meta had nearly 79,000 employees at the end of last year.

AI Ambitions Driving Spending and Strategic Shifts

The discussions about workforce reductions come as CEO Mark Zuckerberg pushes Meta to compete more aggressively in generative AI. To attract leading AI talent for its new superintelligence team, the company has been offering compensation packages that can reach into the hundreds of millions of dollars over four years.

Meta has stated that it plans to invest $600 billion to construct data centers by 2028 in support of its AI strategy. The company is also expanding its AI footprint through deals and acquisitions, including the purchase of Moltbook, a social networking platform designed for AI agents, and plans to spend at least $2 billion to acquire Chinese AI startup Manus, according to earlier Reuters reporting.

Analysts See Cost Pressures – and Productivity Upside

Analysts described the reported job cuts as a reflection of intensifying cost pressures associated with the AI buildup, while also pointing to the potential for AI to deliver meaningful efficiency gains.

“We think the report underscores both the higher costs of AI infrastructure but also cost benefits to R&D heavy companies from coding and other efficiencies,” analyst Justin Post said in a note.

Post estimated that trimming roughly one-fifth of Meta’s workforce could yield about $7 billion to $8 billion in annual savings, based on an assumed average employee cost of around $500,000.

“Based on cost commentary in the article, we do not expect Meta to materially lower its FY26 expense guide of $162-$169bn, though we view the report as suggesting cost discipline at Meta vs outlook,” Post added.

Different Savings Scenarios From Wall Street

Separately, JPMorgan analyst Doug Anmuth provided a similar read-through, but with somewhat lower savings assumptions. He projected that a 20% staff reduction could produce about $5 billion to $6 billion in annual cost savings, assuming costs of roughly $300,000 to $400,000 per employee.

However, he cautioned that these savings would still be modest in relation to Meta’s fast-growing expense base as it steps up AI infrastructure deployment and associated depreciation.

“But still, if the $6B were added to our 2027 profit and tax-affected, it would result in ~$2 in incremental GAAP EPS above our current $31.50 projection,” Anmuth continued.

Broader Implications for Tech Sector Margins

Jefferies analyst Brent Thill argued that a large-scale headcount reduction at Meta would signal that AI-driven productivity gains are becoming tangible at scale and can help absorb a substantial increase in AI-related capital expenditures.

“The reported ~20% headcount reduction would reinforce that AI is beginning to deliver real productivity gains at scale, while helping offset a significant AI capex ramp.”

“The takeaway is not just better Meta margins, but a broader read-through for tech/software as investors reassess the link between headcount, growth, & profitability,” he added.