Mark Zuckerberg just fired 600 AI developers. The same developers he was basically throwing billion-dollar contracts at eight months ago. I mean, we’re talking about a hiring spree that peaked in early 2025 with job offers worth up to $1 billion over multiple years. And now? Those same people are getting layoff notices from Meta’s “Superintelligence” lab.

Yeah, they really called it that. Superintelligence. Because apparently nobody at Meta has ever heard of hubris.

The Whiplash Is Insane

Here’s what actually happened. Zuckerberg went on this massive talent grab earlier this year, convinced that Meta needed to own the AI race. He wasn’t just hiring – he was poaching, offering obscene amounts of money to get top AI researchers and engineers through the door. The message was clear: Meta was all-in on artificial intelligence, and money was no object.

But then something shifted. In June, Meta dropped $15 billion for a 49% stake in Scale AI. They brought over Scale’s CEO, Alexandr Wang, to run Meta’s AI efforts. And with Wang came about 1,500 Scale employees who suddenly found themselves part of the Meta machine.

Fast forward to now, and Wang’s sending memos about “streamlining” and making the team “more load-bearing.” You know what that means in corporate speak? We hired too many people and now we’re fixing our mistake on your backs.

The Memo That Says Everything and Nothing

Wang’s justification is… well, it’s something. “By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact,” he wrote.

Let me translate: we realized we have too many people sitting in meetings, so we’re going to fire a bunch of you and make the survivors do more work. Revolutionary management thinking there.

“By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact.”

The thing is, this kind of whiplash isn’t just bad for the people losing their jobs (though obviously it’s worst for them). It’s bad for Meta’s reputation in the AI community. Word gets around. When you hire aggressively with massive promises and then cut hundreds of roles less than a year later, people remember that.

But Wait, They’re Still Hiring?

Here’s where it gets even weirder. Meta says they’re still hiring for something called the “TBD Lab” – which they just created last month to work on “next-generation AI models.” And they’re encouraging the people they just fired from Superintelligence to apply for these other roles within Meta.

So let me get this straight. You’re cutting 600 people from one AI lab, but you’re hiring for another AI lab that does… basically the same thing? And you want the people you just laid off to go through your application process again?

That’s not restructuring. That’s chaos with a PR strategy.

The Real Story Here

Look, I’ve covered enough tech companies to recognize a pattern when I see one. This isn’t really about making teams “more load-bearing” or whatever management buzzword Wang wants to use. This is about Meta realizing they massively overpaid and overhired in a panic.

The AI race made every big tech company lose their minds a bit. Google, Microsoft, Amazon, Meta – they all went into this frenzied hiring mode, convinced that whoever had the most AI talent would win some undefined future. Salaries exploded. Signing bonuses became absurd. And now we’re seeing the correction. It's worth asking who's actually writing the rules for AI when the companies racing to dominate it can't even manage their own headcount.

What’s frustrating is that real people are paying the price for executive decision-making that was clearly flawed from the start. These aren’t abstract numbers on a spreadsheet. These are 600 developers who probably relocated for these jobs, turned down other offers, made life decisions based on those billion-dollar promises.

What This Actually Means

The tech industry has always had this boom-bust cycle with hiring, but this feels different. The speed of it – from billion-dollar contracts to mass layoffs in under a year – shows just how reactive and frankly panicked these companies are about AI.

And honestly? I’m not sure Meta knows what it’s doing here. Creating new labs while shutting down others, firing people while simultaneously hiring, spending $15 billion on Scale AI and then immediately restructuring – none of this screams “coherent strategy.” Meta isn't alone in the chaos either – OpenAI is facing its own courtroom mess tied to a recent Hugging Face security incident.

If you’re an AI developer looking at Meta right now, you’re probably thinking twice. Which might be the biggest cost of all. Because in the long run, the AI race isn’t just about money or compute power. It’s about attracting and keeping the best people. And Meta just showed 600 of them – and everyone watching – exactly how expendable they think that talent really is.