Workers gathered snacks and chargers, uncertain if they'd have jobs by week's end.
On a Wednesday morning that began before dawn in Singapore and rippled westward across time zones, Meta severed ties with 8,000 of its workers — one in ten — while simultaneously redirecting 7,000 others toward artificial intelligence. The restructuring is less a story of corporate cost-cutting than of a civilization renegotiating which human labors it still wishes to pay for. In the quiet offices and coded emoji of mourning, a larger question lingers: as companies reshape themselves around machines, what becomes of the people who built them?
- Eight thousand workers spent a month suspended in uncertainty, knowing a termination wave was coming but not knowing if it would reach them.
- Notifications rolled out in staggered waves from Singapore to London to the United States, creating an eerie hours-long window where some employees knew their fate while colleagues beside them did not.
- Inside nearly empty offices, workers exchanged grief in salad emojis, scanned internal directories for vanished names, and quietly pocketed snacks and chargers as quiet insurance against the worst.
- Flyers protesting Meta's plan to harvest employee data for AI training appeared on office walls even as the layoffs landed — a sign that the workforce's anxieties extend well beyond job loss.
- The 7,000 reassignments signal that Meta is not simply shrinking but sorting: elevating those who serve its AI future and releasing those who do not.
For a month, employees at the company behind Facebook, WhatsApp, and Instagram had been living with a specific dread: word had come in April that 8,000 of them — roughly one in ten — would be let go on May 20. Meta's leadership framed the cuts as necessary preparation for the artificial intelligence era. Then, days before the terminations took effect, came a second announcement: 7,000 more employees would be pulled from their current roles and redirected into AI-focused initiatives. The company was not merely shrinking — it was sorting itself into a new shape.
When Wednesday arrived, the notifications began in darkness. At 4 a.m. in Singapore, emails landed. As morning moved westward, the same messages reached workers in the United Kingdom and the United States, each timed to their local dawn. For a few hours, some corners of the company knew their fate while others waited. Workers began checking the internal directory, watching names disappear. In Meta's forums, hundreds responded with salad emojis — a quiet, coded language of mourning the company had developed for moments of collective loss. At least one person hired within the previous month was among those let go.
The offices themselves were nearly empty. Human resources had asked staff to work from home for the week, leaving the buildings half-lit and still. On the walls, flyers had appeared — a petition against Meta's new program to use worker data for training AI systems. Some employees, uncertain whether they would still have jobs by week's end, had moved through the halls in the days before, gathering snacks and laptop chargers in quiet, private preparation.
What the restructuring reveals is something larger than a headcount reduction. Meta is actively reordering which roles it values and which it considers obsolete. The 7,000 being reassigned are being carried into the future the company is building. The 8,000 being released are not. In that distinction lies the defining tension of this moment in the technology industry — and perhaps far beyond it.
Meta's upheaval offers a window into how artificial intelligence is reshaping the technology workforce. For the past month, employees at the company that owns Facebook, WhatsApp, and Instagram have been waiting to learn their fate.
In April, word came down that 8,000 of them—roughly one in ten across the entire company—would be terminated on May 20. The restructuring, Meta's leadership explained, was necessary to position the company for the artificial intelligence era. Then on Monday came another announcement: 7,000 additional employees would be reassigned away from their current roles and moved into new AI-focused initiatives. The message was clear: some jobs were disappearing entirely, while others were being redirected toward the technology that Meta believes will define its future.
When Wednesday arrived, the notifications began rolling out. In Singapore, at 4 a.m. local time, emails landed in the inboxes of workers being let go. As the sun rose across other continents, the same message reached employees in the United Kingdom, the United States, and beyond, each notification timed to their own morning hours. The staggered approach meant that for a few hours, some parts of the company knew their fate while others remained in the dark.
What followed was the particular loneliness of a mass layoff in the digital age. Workers started exchanging grim messages across distance, pulling up the internal directory to see which colleagues had disappeared from the system. In Meta's internal forums, hundreds responded to the news with salad emojis—a coded gesture of mourning that had become the company's unofficial language for loss. At least one person hired within the previous month was among those terminated, according to two people with direct knowledge of the cuts.
The physical spaces where Meta's employees work were nearly empty by Wednesday afternoon. Janelle Gale, the company's head of human resources, had instructed staff to work from home for the week, which meant the offices sat quiet and half-lit. On the walls, flyers had appeared—employees posting a petition against Meta's new program to track worker data for use in training artificial intelligence systems. Eight employees described seeing these notices. On Monday, before the cuts took effect, some workers had moved through the offices gathering free snacks and laptop chargers, uncertain whether they would still have jobs by week's end. Those employees, speaking on condition of anonymity out of fear of retaliation, described a kind of quiet preparation for the worst.
The layoffs represent more than just a reduction in headcount. They signal a fundamental shift in how Meta—and by extension, much of the technology industry—is organizing its workforce around artificial intelligence. The company is not simply cutting costs; it is actively reshaping which roles it values and which it does not. Those 7,000 employees being reassigned are being moved toward the future Meta is building. The 8,000 being let go are being left behind.
Notable Quotes
Employees were instructed to work from home during the week of layoffs— Janelle Gale, Meta's head of human resources
The Hearth Conversation Another angle on the story
Why did Meta choose to do this all at once, across the entire company, rather than in waves or by division?
The simultaneity was deliberate. By moving everyone at the same time, across all time zones, Meta controlled the narrative and prevented the kind of cascading panic that happens when people hear rumors before official word. It also meant no one had advance warning to start looking for another job.
What does it mean that they reassigned 7,000 people to AI work at the same moment they fired 8,000?
It's a signal about where the company's future lies. The people being moved aren't being fired—they're being repositioned. The company is saying: we need you, but not in the work you were doing. We need you building artificial intelligence. For those being let go, the message is the opposite.
The salad emoji response—that's interesting. Why salad?
It's a form of coded grief. In Meta's internal culture, the salad emoji had become shorthand for something lost or gone. Using it in the forums was a way for people to acknowledge what happened without saying it directly, without drawing attention from management.
What about the employees gathering snacks and chargers on Monday?
That's the human reality underneath the corporate announcement. People didn't know if they'd still be employed by Friday. So they took what they could—small, practical things. It's a kind of quiet desperation.
And the petition against data tracking for AI training—that's happening at the same time as the layoffs?
Yes. While the company is cutting jobs and restructuring around AI, employees are simultaneously pushing back against how Meta plans to use their own data to train those systems. It's a moment of real tension between what the company wants to build and what its own workers are willing to accept.