Why Meta Laid Off 8,000 Employees—and Why Some Workers Say the Culture Felt Like “Squid Game”
Meta laid off about 8,000 employees (roughly 10% of staff) on May 20 as part of an efficiency drive tied to massive AI investments, notifying workers via early‑morning emails—some sent around 4 a.m.—and quickly cuttin... Affected employees were placed on a non‑working notice period, had badges and internal access di...
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Meta laid off about 8,000 employees (roughly 10% of staff) on May 20 as part of an efficiency drive tied to massive AI investments, notifying workers via early‑morning emails—some sent around 4 a.m.—and quickly cuttin...
Affected employees were placed on a non‑working notice period, had badges and internal access disabled, and were redirected to a separation or alumni portal explaining severance and next steps.
After the layoffs, a former engineer compared Meta’s internal culture to “Squid Game,” criticizing stack‑ranking performance reviews that he said encouraged intense competition among colleagues.
Why did Meta lay off about 8,000 employees on May 20, how were workers notified (including the 4 a.mMeta’s May 20 layoffs affected about 8,000 employees as the company reorganized around artificial intelligence initiatives.
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Create a landscape editorial hero image for this Studio Global article: Why did Meta lay off about 8,000 employees on May 20, how were workers notified (including the 4 a.m. termination emails and immediate syste. Article summary: Meta’s May 20 layoffs were presented as an efficiency-and-restructuring move tied to its AI push: the company said it was cutting about 10% of staff, freezing or eliminating about 6,000 open roles, and simultaneously reo. Topic tags: general, general web, user generated. Reference image context from search candidates: Reference image 1: visual subject "home Business News Meta Orders Work From Home First, Then Lays Off 8,000 Employees At 4 AM. # Meta Orders Work From Home First, Then Lays Off 8,000 Employees At 4 AM. ## Me" source context "Meta Orders Work From Home First, Then Lays Off ..." Reference image 2: visual subject "home Business News Meta Orders Work
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Meta’s May 20 layoffs—affecting roughly 8,000 employees, about 10% of the company’s workforce—were part of a broader restructuring tied to Meta’s escalating investment in artificial intelligence. Internal memos and reporting indicated the goal was to run the company more efficiently while redirecting resources and personnel toward AI development.
The layoffs were not just a headcount reduction. They happened alongside a major reorganization that shifted thousands of remaining employees into AI initiatives and eliminated thousands of planned hires.
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Meta laid off about 8,000 employees (roughly 10% of staff) on May 20 as part of an efficiency drive tied to massive AI investments, notifying workers via early‑morning emails—some sent around 4 a.m.—and quickly cuttin...
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Meta laid off about 8,000 employees (roughly 10% of staff) on May 20 as part of an efficiency drive tied to massive AI investments, notifying workers via early‑morning emails—some sent around 4 a.m.—and quickly cuttin... Affected employees were placed on a non‑working notice period, had badges and internal access disabled, and were redirected to a separation or alumni portal explaining severance and next steps.
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After the layoffs, a former engineer compared Meta’s internal culture to “Squid Game,” criticizing stack‑ranking performance reviews that he said encouraged intense competition among colleagues.
Meta told employees the layoffs were part of an effort to operate more efficiently and offset the costs of heavy investment in artificial intelligence. The company planned to cut about 10% of its workforce, while also canceling around 6,000 open positions it had intended to fill.
At the same time, the restructuring included moving roughly 7,000 employees into new AI‑focused teams, reflecting a strategic shift toward building AI capabilities across products and infrastructure.
This combination—layoffs, canceled hires, and reassignment—signaled that the company wasn’t simply shrinking. Instead, it was reallocating resources toward AI‑driven priorities.
The 4 A.M. Layoff Emails
Many employees learned they had lost their jobs through early‑morning emails sent on May 20. Reports indicate that notifications were distributed around 4 a.m. local time across regions, with some of the earliest messages arriving in Singapore.
The email informed employees that their roles had been eliminated as part of the reorganization. It also included instructions about the transition process and severance details.
In several cases, employees were told that if they were already in an office location, they should collect personal belongings and go home, as their employment had effectively ended.
Immediate Lockouts and the “Non‑Working Notice Period”
Alongside the emails, the company moved quickly to disable internal access.
Laid‑off workers were typically placed on a non‑working notice period, meaning they remained technically employed until a termination date but were not required—or allowed—to continue working.
During this period:
Access badges and internal systems were deactivated.
Employees were redirected to a company alumni or separation portal with details about benefits and next steps.
Additional guidance covered immigration support, severance, and other transition resources.
This rapid shutdown of access is common in large corporate layoffs to protect internal systems and data, but the timing and scale of the notifications drew widespread attention.
Severance Packages for Affected Employees
Meta described its severance terms as generous compared with typical tech layoffs.
For U.S. employees, packages reportedly included:
At least 16 weeks of base pay
Two additional weeks of pay for each year of service
Up to 18 months of COBRA health‑care coverage for employees and families
Severance structures outside the United States were expected to follow similar principles but vary depending on local labor laws and regulations.
The “Squid Game” Culture Criticism
After the layoffs, commentary from former employees drew attention to Meta’s internal performance culture.
One ex‑engineer, Jeremy Bernier, compared the company’s environment to the Netflix series “Squid Game,” saying employees often felt they were competing with colleagues to survive performance reviews.
His criticism centered on the company’s stack‑ranking approach to performance evaluation, where employees are assessed relative to peers rather than against a purely independent standard. Critics say such systems can create an “every‑person‑for‑themselves” atmosphere and constant anxiety about ranking outcomes.
Bernier argued that this competitive structure contributed to a culture in which employees felt pressure to constantly prove themselves while fearing layoffs or poor performance ratings.
How the Layoffs Fit Meta’s AI Pivot
Taken together, the layoffs, canceled hires, and reassignment of thousands of employees illustrate a broader shift inside Meta.
The company is attempting to redirect talent and spending toward AI development, while reducing staffing in areas considered less critical to that strategy.
In practical terms, the restructuring affected a much larger portion of the organization than the layoffs alone:
~8,000 roles eliminated
~7,000 employees reassigned to AI initiatives
~6,000 open roles canceled
That scale of change highlights how aggressively major tech companies are reorganizing around artificial intelligence—and how quickly those shifts can reshape their workforces.
A Restructuring That Reshaped the Company
The May 20 layoffs were not simply a cost‑cutting exercise. They were part of a broader organizational reset tied to Meta’s AI ambitions.
Employees experienced the change abruptly through early‑morning termination emails and immediate system lockouts, while remaining staff were moved into new roles aligned with the company’s AI strategy. At the same time, criticism from former workers highlighted ongoing debates about performance management and internal competition within large tech firms.
Together, those elements illustrate the human and organizational impact of the tech industry’s rapid pivot toward artificial intelligence.