Why Meta Is Offering $100 Million for AI Geniuses

Summary

Podcast Summary: The Journal – "Why Meta Is Offering $100 Million for AI Geniuses"

Introduction The Journal, a collaborative production of The Wall Street Journal and Gimlet, delves into the intricate dynamics of money, business, and power. In the July 3, 2025 episode titled "Why Meta Is Offering $100 Million for AI Geniuses," hosts Annie Minoff and Megan Bobrowski explore Meta's ambitious efforts to dominate the artificial intelligence (AI) landscape. This summary captures the episode's key discussions, insights, and conclusions, providing a comprehensive overview for those who haven't tuned in.

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1. Zuckerberg's Intensive Recruitment Campaign Mark Zuckerberg, CEO of Meta, has taken unprecedented steps to attract top-tier AI talent. Hundreds of leading AI researchers began receiving personalized outreach from Zuckerberg himself, a move so unexpected that some doubted its authenticity.

"[...] Some researchers didn't even believe it was actually Mark Zuckerberg, because why would you? Right? I mean, can you imagine the CEO of this company reaching out to you?"
— Megan Bobrowski [00:31]

The strategy includes inviting prospective hires to Zuckerberg’s residences in Palo Alto and South Lake Tahoe for in-depth discussions. Notably, Meta is offering up to $100 million to entice these AI experts, underscoring the company's high-stakes investment in AI.

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2. Meta's AI Ambitions and the Llama Model Meta's AI ambitions are deeply intertwined with its flagship large language model, Llama. Introduced in February 2023 amidst the burgeoning AI arms race sparked by OpenAI's ChatGPT, Llama was positioned as Meta's contribution to advancing AI technologies.

"AI can be used to really advance its ads business. At its core, Meta is an ads business."
— Megan Bobrowski [03:19]

Llama is central to several of Meta’s products, including AI-driven features in Facebook Messenger, Instagram content moderation, and WhatsApp customer service. The potential of AI to revolutionize Meta's advertising strategies—transforming static photo ads into dynamic videos—is a key focus area.

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3. Setbacks at Llamacon and the Behemoth Model In April, Meta faced significant challenges during its first AI Developer Conference, Llamacon. The company intended to unveil an advanced version of Llama, dubbed Llama Behemoth. However, technical difficulties led to multiple delays.

"We have the pre train of the Behemoth is done and we're working on the post training."
— Mark Zuckerberg [05:52]

The Behemoth model's release was postponed from April to June and potentially further into the fall. Internal struggles to enhance the model's performance without proportional advancements highlighted Meta’s difficulties in keeping pace with AI competitors. The eventual submission of a smaller, optimized version to the Chatbot Arena benchmark test—contrasted by the general public release—further cast doubts on Meta's AI prowess.

"Meta has gamed the system to try to be better than it is."
— Megan Bobrowski [08:10]

Zuckerberg acknowledged these issues in a podcast interview, revealing that Meta was lagging behind in the AI race.

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4. The Intense AI Talent War Recognizing the urgency to bolster its AI capabilities, Zuckerberg launched a robust recruitment drive. A new division, Meta Superintelligence Labs, was established to centralize and accelerate AI development efforts. This division is spearheaded by Alexander Wang, CEO of an AI startup specializing in data labeling—critical for training AI models.

"In an internal memo, Zuckerberg called Wang, 'the most impressive founder of his generation.'"
— Annie Minoff [10:26]

Meta invested $14 billion for a stake in Wang's company, marking one of the most lucrative hires in tech history. The recruitment list targets elite AI researchers with PhDs from prestigious institutions and experience at leading AI organizations like OpenAI, Google DeepMind, and Anthropic.

Despite these efforts, success is mixed. So far, Meta has secured 11 new hires, including prominent figures from OpenAI and Google DeepMind. However, not all offers are accepted, as some top researchers, such as OpenAI co-founder Ilya Sutskever, have declined Meta's overtures.

"Some of the people are getting counteroffers. They're getting counteroffers to stay at their current job."
— Megan Bobrowski [12:20]

This competitive environment has positioned AI researchers as pivotal players in determining the industry's future trajectory.

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5. Meta’s Massive Financial Commitment Meta's dedication to AI is evident in its projected capital expenditures of up to $72 billion for the year. This investment encompasses acquiring necessary hardware, expanding data centers for model training, and compensating high-caliber AI talent.

"It's largely on their AI development. So that includes acquiring all the hardware they need to build this stuff."
— Megan Bobrowski [13:23]

Such substantial financial resources reflect Meta’s belief in AI as a transformative force for maintaining and enhancing its market dominance, particularly in advertising.

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6. Potential Consequences of Failing to Innovate Should Meta falter in its AI initiatives, the repercussions could be significant, albeit not immediately existential. Meta's vast advertising revenue provides a buffer, but long-term stagnation in AI could erode its competitive edge.

"If Meta is not on the cutting edge of this, you could see them start to slip down the tech totem pole."
— Megan Bobrowski [13:50]

Competitors who successfully leverage AI could outperform Meta in advertising efficacy, content moderation, and user engagement, potentially diminishing Meta's relevance in the tech ecosystem.

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Conclusion The episode of The Journal highlights Meta's aggressive strategy to reclaim its standing in the AI domain through substantial financial investments and unparalleled recruitment efforts. Mark Zuckerberg's personal involvement and the offering of multimillion-dollar packages underscore the high stakes involved. However, Meta faces significant challenges, including delays in AI model advancements and fierce competition for top talent. The outcome of this high-stakes race will determine Meta's future trajectory in the rapidly evolving landscape of artificial intelligence.

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Notable Contributors and Production Credits Additional reporting in this episode was provided by Ben Cohen and Berber Ginn. The production team included Katherine Brewer, Pia Gadkari, Carlos Garcia, Rachel Humphries, Sophie Kodner, Brian Knudsen, Matt Kwong, Colin McNulty, Jessica Mendoza, Laura Morris, Enrique Perez de la Rosa, Sarah Platt, Allen Rodriguez Espinosa, Heather Rogers, Piers Singhe, Jeevika Verma, Lisa Wang, Catherine Whelan, Tatiana Zemis, and Melissa. Engineering was handled by Griffin Tanner, Nathan Singapak, and Peter Leonard, with theme music by so Wiley and additional compositions from Katherine Anderson, Peter Leonard, Bobby Lord, Nathan Singapak, so Wiley, and Blue Dot Sessions. Fact-checking was conducted by Kate Gallagher and Mary Mathis.

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For more insightful episodes and analysis on money, business, and power, tune into The Journal available on Spotify and other major platforms.

Transcript

[Annie Minoff]

Hundreds of top AI researchers recently found themselves in an unusual position. They were getting personalized messages from one of the tech industry's most famous people, Meta CEO Mark Zuckerberg. His pitch come to Meta.

[Megan Bobrowski]

He's sort of become Meta's recruiter in chief.

[Annie Minoff]

That's our colleague Megan Bobrowski. She covers the tech industry.

[Megan Bobrowski]

In some cases, people didn't even believe it was actually Mark Zuckerberg, because why would you? Right? I mean, can you imagine the CEO of this company reaching out to you? We know of one instance where a researcher didn't respond for several days because they thought it was a hoax.

[Annie Minoff]

I mean, fair.

[Megan Bobrowski]

Yeah, right.

[Annie Minoff]

Zuckerberg is on a mission to win over AI's brightest minds to supercharge Meta's AI efforts. Do we know what's in the message? Is it just like, hey, I'm Mark Zuckerberg, can we get coffee?

[Megan Bobrowski]

I don't know exactly what the messages say, but generally once people do respond and, you know, are conversing with him, he invites them to his homes either in Palo Alto or South Lake Tahoe for a meeting, and then they can go meet him and, you know, sort of talk about this. We do know that he is offering some people up to $100 million to come join his company.

[Annie Minoff]

Holy cow. Zuckerberg's offering these sky high salaries because for him and for Meta, the stakes are really high. Whether Meta keeps its position at the top of the tech world could hinge on how Zuckerberg's recruiting targets respond. Welcome to the Journal, our show about money, business and power. I'm Annie Minoff. It's Thursday, July 3rd. Coming up on the show, Meta's fallen behind in the AI race. Can it catch up?

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[Annie Minoff]

Tech companies from Google to Microsoft to Meta are betting big on AI, wagering that AI supremacy will be the key to their future success. And AI is already peppered across many of Meta's products. You can ask questions to an AI assistant in Facebook Messenger. AI technology helps moderate content on Instagram, and in some countries, you can get AI customer service on WhatsApp. But Meta's ambitions for AI are even bigger than that, especially when it comes to advertising.

[Megan Bobrowski]

AI can be used to really advance its ads business. At its core, Meta is an ads business. And AI is already being used in some cases to optimize the these ads to better target them. In some cases, it's being used to actually make the ads not entirely from scratch, but it can make alterations to the ads. It can turn photo ads into moving videos. So this is a big, big opportunity for Meta. If they can make their ad business even better than it already is, they stand to make a lot more money from companies who want to advertise and reach people on their platforms.

[Annie Minoff]

And they're already scary good at targeting ads. I'm like, yes, I do want that skirt. You are correct.

[Megan Bobrowski]

Exactly. So imagine if these ads were ten times more effective. That's essentially what Meta thinks it can do. And so that's where they're trying to go.

[Annie Minoff]

Central to Meta's AI plans is its flagship large language model called Llama.

[Megan Bobrowski]

That's where all this technology comes from, essentially. Right? So you have the chatbots, you have improved advertising. What is powering all these things? That's this model called Llama and it's kind of a play on words for large language models.

[Annie Minoff]

Oh, I just got that.

[Megan Bobrowski]

So that's why it's called Llama. Yeah.

[Annie Minoff]

Meta debuted Llama in February of 2023. This was in the feverish months after OpenAI had rolled out ChatGPT, kicking off an AI arms race. Tech's biggest players vied to develop the most advanced capable models. And Meta was right there in the mix. How did the release of Llama go?

[Megan Bobrowski]

I mean, I think it was a big deal. Meta was one of the first companies to sort of open source this technology, meaning they opened it up to everyone. They're like, hey, guys, we're here as well. We are in this game. Here's our version.

[Annie Minoff]

But since Llama's debut, Meta and its model have fallen behind their AI peers. That became clear in April. This was supposed to be a big month for Meta. The company was hosting its first ever AI Developer Conference.

[Megan Bobrowski]

All right, welcome everybody to llamacon.

[Annie Minoff]

To coincide with the event, they were planning to release the biggest, most advanced version of Llama yet, called Llama Behemoth. The problem Behemoth wasn't ready. Here's Zuckerberg on stage at llamacon. We have the pre train of the.

[Megan Bobrowski]

Behemoth is done and we're working on the post training.

[Annie Minoff]

But even just kind of getting it.

[Megan Bobrowski]

The biggest one the most powerful one. They realized early on they're not going to be able to release this in April. Meta is putting a lot of these resources and compute and data into making the biggest model better. And they're not seeing results, they're not seeing the improvements that they want to see that would justify how much money they're spending on it. Right. So they're spending billions of dollars on this thing, and it's not better enough than the old models. And so they decided they can't release it.

[Annie Minoff]

Behemoth's release date was delayed from April to June and then delayed again. It's now expected to be released in the fall or even later. According to Megan's reporting, researchers and engineers inside Meta worried that Behemoth's performance wouldn't live up to expectations. Senior Meta executives blamed the team behind the latest model. A Meta spokesperson declined to comment. Instead of releasing Behemoth, Meta released two smaller versions of the Llama model. But those releases also didn't quite go to plan. The problem emerged when Meta submitted one of its smaller models to what's known as a benchmark test.

[Megan Bobrowski]

It's really hard to know how good is a model? What does that mean? What is it good at? Right. And so this is a big question in the AI industry is like, how do you rank these things? How do you know?

[Annie Minoff]

How do you tell who's number one? Yeah.

[Megan Bobrowski]

How do you know which one is the best one? That's the big question. And so there's this whole ecosystem of third party tests that test these models and have rankings for which ones are better.

[Annie Minoff]

The test that Meta submitted its model to is called Chatbot Arena. Different companies submit their models and they're.

[Megan Bobrowski]

Pitted against each other almost in like a battle. So what happened was Meta submitted a version of this model to Chatbot arena that was optimized to do well on the test. It was not the same version that they submitted to the general public.

[Annie Minoff]

Interesting. So they sent the model to AI arena that was like some specialized for these AI cage matches, and then they served everybody else a different model.

[Megan Bobrowski]

Yes. And so this is what happened. People find out about this and people's view of the model kind of goes down. Right. Because in their minds, Meta has gamed the system to try to be better than it is. And people sort of question like, why are you doing this if your model is as good as you say it is?

[Annie Minoff]

Zuckerberg acknowledged in a podcast interview that the model Meta submitted to Chatbot arena was optimized for the test. The delayed release of Behemoth. And the debacle over Chatbot arena laid bare an uncomfortable truth for Meta. It was behind.

[Megan Bobrowski]

Meta currently is one of the top tech companies in the world. If Mark Zuckerberg can't figure out Meta's AI problems, Meta could lose a lot of relevance here.

[Annie Minoff]

So Zuckerberg knows he needs to turn things around. What's his plan to do that?

[Megan Bobrowski]

So Mark Zuckerberg decides there's a problem here, we need to solve it, and he's going to hire his way out of this.

[Annie Minoff]

How Zuckerberg's recruiting blitz is going, that's next. To tackle Meta's AI problems, Zuckerberg has announced a new team. He's calling it Meta Superintelligence Labs. The new division will house existing teams like the one that makes the llama model, plus a new team focused on developing even more advanced LLMs. And the guy leading this whole thing is one of Zuckerberg's new hires. Tell me about Alexander Wang. Who is he?

[Megan Bobrowski]

He's the CEO of this AI startup that is not itself building these large language models and this technology, but what they do is they label the data that goes into the models, so they're almost like the picks and shovels of the AI industry.

[Annie Minoff]

Got it.

[Megan Bobrowski]

Mark Zuckerberg hopes that Alex Wang can kind of turn things around at his company.

[Annie Minoff]

In an internal memo, Zuckerberg called Wang, quote, the most impressive founder of his generation. To bring him on board, meta shelled out $14 billion for a stake in Wang's company, making him one of the priciest hires of all time. The new team still has a lot of seats to fill. And to help in his recruiting efforts, Zuckerberg and his team have put together a list.

[Megan Bobrowski]

It compiles all of the top AI researchers in Silicon Valley. It's everyone who he thinks is going to be able to help him turn around his company's AI efforts.

[Annie Minoff]

And what kind of people are on this list?

[Megan Bobrowski]

Yeah, so the types of people who are on this list, they typically have PhDs from schools like Berkeley or Carnegie Mellon or MIT. They've typically worked at places like OpenAI or Google, DeepMind. They're usually in their 20s or 30s, and it's such a small community that most of these people know each other and they're talking to each other about the fact that they're all on this list and trying to figure out if they should go to Meta or not.

[Annie Minoff]

A lot of things factor into that decision. Of course, there's the money, which for some could mean $100 million pay package. But there's also the glory many researchers want to be at the company where the big breakthroughs happen. And some are choosing to take their chances with Meta. So far, the company's announced 11 new hires for its superintelligence team. Several from OpenAI, two from Google DeepMind, and one from Anthropic. But not everyone is taking Zuckerberg up on his offer. According to Megan's reporting, OpenAI co founder Ilya Sutskever got an offer but didn't take the bait. So for the people who are not biting, why not?

[Megan Bobrowski]

Some of the people are getting counteroffers. They're getting counteroffers to stay at their current job. You know, Mark Zuckerberg is the one who's publicly out there recruiting these people. But certainly this is not a new thing. There is this talent war that has been going on for several years in Silicon Valley, and we do know for a fact that OpenAI, for instance, has been offering people counteroffers to stay.

[Annie Minoff]

Really? Seems like the real winner here are these AI researchers playing these offers against each other.

[Megan Bobrowski]

Yeah.

[Annie Minoff]

OpenAI's CEO, Sam Altman, addressed Meta's hiring efforts at an event recently.

[Megan Bobrowski]

So it's like, okay, Zuckerberg is doing.

[Annie Minoff]

Some new, insane thing. What's next? Like, earlier, he'd said that he was happy that his best people hadn't left for Meta. It's not clear yet whether Zuckerberg's hiring push will ultimately turn things around for Meta. What is clear is that the company is pouring money into AI. It's planning to spend up to $72 billion on capital expenditures this year alone.

[Megan Bobrowski]

Largely on their AI development. So that includes acquiring all the hardware they need to build this stuff. It also includes powering these data centers, these huge data centers where they actually train the models. And now we'll also include the salaries that they're paying people.

[Annie Minoff]

Let's say that Zuckerberg fails in this recruitment effort, this recruitment drive, and Meta does not catch up on AI. What would that mean for this company?

[Megan Bobrowski]

It's not immediately existential for Meta. They're a huge company that brings in billions of dollars in advertising revenue. Where this could become a problem for Meta is years down the line. If other AI companies are able to be more successful and are able to implement ads of their own, Meta could lose ground in the ad space, and it could be a big problem for them. A lot of these tech CEOs believe that AI is going to be a game changer to their business going forward in all aspects. Some CEOs have talked about AI writing code for the company. You know, there's also all the chatbots. And so if Meta is not on the cutting edge of this, you could see them start to slip down the tech totem pole.

[Annie Minoff]

That's all for today. Thursday, July 3 the Journal is a co production of Spotify and the Wall Street Journal. Additional reporting in this episode by Ben Cohen and Berber Ginn. The show's made by Katherine Brewer, Pia Gadkari, Carlos Garcia, Rachel Humphries, Sophie Kodner, Brian Knudsen, Matt Kwong, Colin McNulty, Jessica Mendoza, Laura Morris, Enrique Perez de la Rosa, Sarah Platt, Allen Rodriguez Espinosa, Heather Rogers, Piers Singhe, Jeevika Verma, Lisa Wang, Catherine Whelan, Tatiana Zemis and Melissa Annie Minoff. Our engineers are Griffin Tanner, Nathan Singapak and Peter Leonard. Our theme music is by so Wiley. Additional music this week from Katherine Anderson, Peter Leonard, Bobby Lord, Nathan Singapak, so Wiley and Blue Dot sessions. Fact checking this week by Kate Gallagher and Mary Mathis. We're off tomorrow for Independence Day, but we'll be back with a new episode on Monday.