• AI Weekly
  • Posts
  • Meta's $1.5 Billion Hire Threatens to Quit Days After Starting

Meta's $1.5 Billion Hire Threatens to Quit Days After Starting

In partnership with

The Key to a $1.3 Trillion Opportunity

A new trend in real estate is making the most expensive properties obtainable. It’s called co-ownership, and it’s revolutionizing the $1.3T vacation home market.

The company leading the trend? Pacaso. Created by the founder behind a $120M prior exit, Pacaso turns underutilized luxury properties into fully-managed assets and makes them accessible to the broadest possible market.

The result? More than $1B in transactions and service fees, 2,000+ happy homeowners, and over $110m in gross profit to date for Pacaso.

With rapid international growth and 41% gross profit growth last year alone, Pacaso is hitting their stride. They even recently reserved the Nasdaq ticker PCSO.

The same VCs that backed Uber, eBay, and Venmo also backed Pacaso. Join them as a Pacaso shareholder before the opportunity ends September 18.

Paid advertisement for Pacaso’s Regulation A offering. Read the offering circular at invest.pacaso.com. Reserving a ticker symbol is not a guarantee that the company will go public. Listing on the NASDAQ is subject to approvals.

The Billion-Dollar Question Nobody's Asking

You know what's wild?

Meta just offered someone $1.5 billion. Not for a company. Not for a patent. For one person.

And they still said no.

That's not a typo. One point five BILLION dollars. Over several years, sure, but still. When you're throwing around athlete money for researchers, something's broken.

The Guy Who Almost Walked Out on Day One

Meet Shengjia Zhao. You probably don't know him, but he helped build ChatGPT. Meta wanted him bad.

So bad they made him "Chief AI Scientist" just to stop him from quitting.

Here's the crazy part: Zhao actually signed paperwork to leave. On his way out the door. Meta had to literally promote him to keep him from walking back to OpenAI.

Think about that. You hire someone. They immediately want to quit. Your solution? Give them the top job.

This isn't how successful companies work.

The Great AI Exodus

But Zhao's drama is just the beginning.

Meta's Superintelligence Lab launched with big promises. Two months later? At least eight people have already bailed.

The names tell the story:

Avi Verma left before his first day. Didn't even show up.

Ethan Knight lasted less than a month. Gone.

Chaya Nayak worked at Meta for nine years. Nine years! Now she's at OpenAI.

And get this - Rishabh Agarwal had a million-dollar package. Five months in, he walked.

These aren't people getting better offers elsewhere. They're running from something.

When Money Can't Buy Happiness

Meta's throwing stupid money at this problem:

  • $100 million signing bonuses

  • Eight and nine-figure packages

  • "Exploding offers" with 24-hour deadlines

But their retention rate? 64%.

Want to know who's winning? Anthropic sits at 80%. Google DeepMind hits 78%.

Money talks. But apparently, it's not saying what Meta thinks it is.

The Real Problem

Here's what nobody wants to admit: Meta's a mess internally.

Four reorganizations in six months. Four.

They just split their AI lab again. Now it's four different groups with four different leaders doing... who knows what.

Employees call it "chaotic culture" and a "toxic work environment." Their words, not mine.

You can't buy your way out of bad management. Ask any startup that tried.

What Winners Do Differently

While Meta bleeds talent, OpenAI's CEO Sam Altman says none of their best people took Meta's offers. None.

Why? Mission.

Anthropic's CEO Dario Amodei put it perfectly: "If Mark Zuckerberg randomly selects your name from a dartboard, that doesn't justify paying you ten times more than a colleague with equal skill and talent."

Brutal. But fair.

The best researchers want to shape AI's future. Not make Facebook's ad targeting better.

The Math That Should Scare You

There are fewer than 40,000 AI researchers in the entire country.

But 1.6 million software developers.

AI talent is 40x rarer than regular programmers. And getting more expensive every day.

Salaries jumped 50% since 2022. Senior scientists now make $3-7 million annually. Some hit $10 million.

That's pro athlete money for people who've never been on TV.

The Bottom Line

Benjamin Mann from Anthropic said something that should haunt Meta executives:

"My best case at Anthropic is we affect the future of humanity. My best case at Meta is we make money."

Game over.

You can't compete with purpose using only paychecks. Money gets people in the door. Culture keeps them there.

Meta's learning this lesson the expensive way.

What This Means for Everyone Else

The AI talent war isn't just about big tech anymore. Every company needs AI people now. But there aren't enough to go around.

If Meta with infinite money can't keep people happy, what chance do the rest of us have?

Here's the answer: Be the place people want to work, not just the place that pays the most.

Culture beats compensation. Mission beats money. Purpose beats paychecks.

Meta forgot this. Don't make the same mistake.

Sources: This breakdown comes from reporting by TechCrunch, Business Insider, WIRED, The New York Times, CNBC, Forbes, and multiple industry publications documenting Meta's AI talent struggles throughout 2025. The compensation figures and retention rates are from SignalFire's State of Talent Report 2025 and various business publications tracking the AI hiring market.

Reply

or to participate.