Something deeply uncomfortable is unfolding at Meta right now, and it goes far beyond another round of Silicon Valley layoffs. The company is simultaneously tracking employee keystrokes to train AI models, forcing AI tool adoption into performance reviews, and preparing to cut 8,000 workers by May 20th.

Employees are sharing nihilistic memes, building countdown websites to their own layoffs, and openly asking to be fired so they can collect severance.

This isn’t just a Meta story. It’s a preview of what AI transformation looks like when speed matters more than trust.

The Surveillance That Sparked a Revolt

Last month, Meta told U.S. employees about a new tracking program. Keystrokes. Mouse movements. Clicks. Random screenshots. All captured to teach AI models “how people actually complete everyday tasks using computers.”

The backlash was immediate. Hundreds flooded internal message boards. An engineering manager captured the sentiment perfectly: “This makes me super uncomfortable. How do we opt out?”

CTO Andrew Bosworth’s reply was blunt: “There is no option to opt-out on your corporate laptop.”

That response earned over 100 angry emoji reactions. One worker wrote directly to Bosworth: “Your callousness to the concerns of your own employees is concerning.”

Here’s the part that stings most: these employees aren’t just being watched. They’re training the systems that may replace them.

AI Adoption or Else

Meta isn’t merely building AI products — it’s forcing its workforce to become AI-native at breakneck speed. In March, the company ran “AI Transformation Weeks” to push AI coding tools. This wasn’t optional enrichment.

The internal targets tell the story. Meta’s Creation organization — covering Facebook, Messenger, and WhatsApp — set a goal for 65% of engineers to write more than 75% of their code using AI tools by mid-2026. The Scalable Machine Learning team had targets ranging from 50% to 80%.

AI usage now factors into performance reviews. A developer previously evaluated on shipping reliable software is now judged partly on whether AI was involved in the process. Prompting, checking, and accepting machine-generated output have become part of the job description — even when the tools are uneven.

The absurdity peaked when, according to The Verge, employees were pushed to make so many AI agents that others had to introduce agents to find agents, and agents to rate agents. Meta built an agent bureaucracy to manage its agent bureaucracy.

The Countdown Clock

Two days after announcing the tracking program, Meta confirmed plans to cut approximately 8,000 people — roughly 10% of its 78,000-person workforce. The axe falls May 20th.

Janelle Gale, Meta’s head of HR, acknowledged the cruelty: “I know this leaves everyone with nearly a month of ambiguity which is incredibly unsettling.” The cuts would allow Meta “to offset the other investments we’re making” — barely veiled code for the billions flowing into AI infrastructure.

Employee response has been equal parts dark humor and genuine despair. At least three countdown websites track the days to May 20th. One site’s header reads “Big Beautiful Layoff” — a sardonic riff on the Trump administration’s “One Big Beautiful Bill.” Internal memes include one that simply reads: “It do not matter.”

Some employees are actively signaling they want to be laid off — severance beats staying in an increasingly hostile environment. Others have quietly started job hunting.

Training Your Own Replacement

The Japan Times put it most starkly: Meta is making workers train their AI replacements. The tracking software captures everything needed to teach AI models how to mimic human computer behavior, including nuanced tasks like navigating drop-down menus.

Remember Zuckerberg’s 2022 memo encouraging employees to call themselves “Metamates,” borrowed from the Navy motto “Ship, shipmates, self”? The idea was that you protect the ship first, then your shipmates, then yourself.

In practice, Zuckerberg is now asking his shipmates to help build the robots that will throw them overboard.

At a recent town hall, Zuckerberg tried to decouple the AI push from layoffs, insisting that “getting everyone internally to use AI tools and getting to do the work more efficiently is not the thing that’s driving layoffs.”

Nobody’s buying it. When AI spending is rising, roles are disappearing, and remaining workers are forced into automation — the math isn’t complicated.

The Pod Restructuring

Meta’s Reality Labs division has reorganized roughly 1,000 workers into smaller AI-focused “pods” with new titles: AI Builder, AI Pod Lead, AI Org Lead. CTO Bosworth has taken personal charge of Meta’s “AI for Work” initiative, sending an unmistakable signal — AI adoption is not optional.

On paper, this creates faster execution through flatter teams. In practice, employees are wondering whether their title describes a stable job or just the latest phase of permanent restructuring.

The Pattern Spreading Across Tech

Meta’s turmoil isn’t unique — it’s just the most visible example. Microsoft, Block, and Coinbase have all announced layoffs or buyouts as AI reshapes their workforces. AI coding tools directly threaten the software engineers who form the backbone of these companies.

Leo Boussioux, a professor at the University of Washington, captured the tension: “AI can potentially make everyone a better coder and help them do way more things with fewer resources, but as a result, it also brings more intensity to the daily life of the worker.”

Then the kicker: “There is no playbook for AI in the workplace yet.”

What Meta is demonstrating is what happens when you write that playbook in real-time — prioritizing speed over consent, metrics over morale, and transformation over trust.

The Question Nobody Will Answer

Meta has hinted that more changes are coming. The optimal size of the company “isn’t yet known,” according to leadership.

Which raises the most uncomfortable question of the AI era: if these tools keep getting better, what is the optimal number of employees for a company that reaches 3 billion people?

Nobody at Meta — or anywhere else — seems ready to answer that honestly. But 78,000 employees are staring at a countdown clock, watching their keystrokes get harvested, and wondering if they’re building the future or just training their replacements.