Meta, Microsoft Plan Cuts, Buyouts That May Affect 23,000 Jobs
Synopsis
In a massive restructuring move on April 23, 2026, Meta and Microsoft revealed plans to trim their workforces by a combined 23,000 positions. Meta will lay off 8,000 employees and cancel 6,000 open roles, while Microsoft is offering its first-ever large-scale voluntary buyouts to over 8,750 U.S. workers. The move signals an aggressive pivot toward AI-driven efficiency, as both companies scramble to offset record spending on data centers and superintelligence models. With earnings reports due next week, analysts warn that the human cost of the AI race is becoming a permanent fixture of the big tech landscape.
Meta and Microsoft are trimming thousands of jobs with layoffs and voluntary buyouts as they redirect resources to costly artificial intelligence infrastructure. 23,, th moves could affect nearly 23000 jobs at both companies.
Key Highlights
- Meta is eliminating 8,000 roles, bringing its total job cuts to 14,000
- Microsoft is providing buyouts to 8,750+ workers (7% of its U.S. Workforce)
- Quarterly earnings reports by both companies on April 29, 2026.
- The cuts are to balance $140bn in AI spending record, at Microsoft alone this fiscal year;
Meta and Microsoft reveal huge layoffs
Internal memos from both Meta and Microsoft showed sweeping plans to cut the size of global workforces. In an internal memo obtained by the New York Times, Meta’s chief people officer Janelle Gale stated that about 8,000 workers, or nearly 10% of its workforce, will be laid off in stages starting on May 20. At the same time, Microsoft also unveiled its first-ever broad-based voluntary buyout scheme. These voluntary redundancies are available to about 8,750 employees or around 7% of Microsoft’s more than 125,000-strong U.S. workforce. Factoring in Meta’s 6,000 cancelled job openings and the two tech giants are rolling out a combined 23,000 positions from the labour market.
Reasons for companies’ layoffs and the programmes affected
The primary driver behind these cuts is the cost of the AI race. The two companies are redirecting billions from core businesses into massive data centre projects and AI research. The reforms made at Meta were outlined in a memo that the company shared with Insider, which said 8,000 layoffs are needed to offset other investments as it builds its superintelligence labs. This is Meta’s biggest layoff since it expanded in the name of efficiency in 2023 after years of over-hiring.
The Microsoft buyout program is specifically designed to target long-term employees. Employees are eligible if their age and years of service add up to 70 or more. According to Microsoft Chief People Officer Amy Coleman, the intent behind this decision is aimed at streamlining the company but ensuring that it continues at an urgent pace in a space such as AI. It comes on top of 15,000 traditional layoffs announced in 2025 as Microsoft wrestles to bring costs under control while it spends about $140 billion in capital expenditure this year supporting projects with the likes of OpenAI and Anthropic.
Expert opinion and the future of AI-powered efficiency
Industry analysts see these cuts as evidence that the so-called AI tax on tech workers is indeed a thing. Despite these companies pulling in record profits, the cost of AI talent and hardware is so high that it has led to cut down on traditional departments, such as HR, marketing and Reality Labs, to pay for it.
FAQs
- What is the date for Meta layoffs?
These 8,000 layoffs will take place over several years, witsome 3,300 workers from May 20, 2026.
- Who qualifies for the Microsoft buyout?
Except for select senior and sales positions, U.S. employees can get the payout when their years of service plus age add up to 70 or more.
- How much severance do Meta employees get?
Meta is providing 16 weeks of base pay, plus 2 additional weeks for every year worked, in cash to U.S. workers.
- Why is AI causing layoffs?
AI infrastructure slowed (chips + data centres) is super costly. The removal of human employees is to release the cash that is now needed to procure machines and develop AI models.
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