WEBVTT - Deep Dive: Meta Invests $14.3 Billion in Scale AI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news, The.

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<v Speaker 2>Stock Movers podcast, your roundup of companies making moves in

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<v Speaker 2>the stock market harnessing the power of Bloomberg Data.

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<v Speaker 3>I'm Tim Stenebeck along with Carol Master. Let's take a

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<v Speaker 3>look at some stocks. Meta Platforms taking a forty nine

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<v Speaker 3>percent steak in scale AI with Alexander Wang, who's twenty

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<v Speaker 3>eight years old, joining Meta as a top executive to

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<v Speaker 3>build AI super intelligent.

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<v Speaker 2>Mistake, Right, it's a steak's g ak.

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<v Speaker 3>It's not an acquisition.

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<v Speaker 1>Yet, Okay, If it walks like an acquisition.

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<v Speaker 3>Dave Lie says, do not call it an acquisition for

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<v Speaker 3>a host of reasons. Okay, yeah. Davely is US technology

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<v Speaker 3>columnists for Bloomberg Opinion. He spent about fifteen years reporting

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<v Speaker 3>on tech at the FT and BBC before joining Bloomberg.

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<v Speaker 3>He joins us, here, do we just not call this

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<v Speaker 3>an acquisition? Like? Why why are we not acquired? Why

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<v Speaker 3>aren't companies not acquiring things right now?

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<v Speaker 4>Because they're afraid. They're afraid that the courts are going

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<v Speaker 4>to undo their acquisition. So at this time they're thinking

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<v Speaker 4>probably too risky to complicated. If the stake was fifty

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<v Speaker 4>percent as opposed the forty nine percent. That would of

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<v Speaker 4>course be a takeover rather than an investment, and immediately

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<v Speaker 4>that would trigger all kinds of reviews. They'd have to wait,

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<v Speaker 4>they'd have to get clearances, not only in the US

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<v Speaker 4>but also around the world different regulators.

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<v Speaker 5>There's no time for that in the AI era.

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<v Speaker 4>They've got they've got to get to work straight away.

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<v Speaker 4>And so we're seeing this sort of new approach which

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<v Speaker 4>I sort of likened in a column I wrote to

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<v Speaker 4>sort sort of when a football team buys a great

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<v Speaker 4>young prospect, you know, they pay a transfer fee to

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<v Speaker 4>compensate wherever he's leaving. In this case, for Wang, it's about,

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<v Speaker 4>you know, making investors whole at the scale AI the

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<v Speaker 4>company he founded, and they bring on this young talent

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<v Speaker 4>with the view that he's going to be, you know,

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<v Speaker 4>the what.

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<v Speaker 5>He's going to run a super.

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<v Speaker 4>Intelligence team at Meta and this is obviously what Mark

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<v Speaker 4>Zuckerbo thinks. He's needed to bring his team up to

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<v Speaker 4>up to speed to compete against the other big teams.

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<v Speaker 3>He's going to be sitting by. Mark Zuckerberg reportedly what

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<v Speaker 3>is superintelligence?

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<v Speaker 2>What is?

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<v Speaker 3>And also scally Eyes not building its own superintelligence either of.

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<v Speaker 5>That's what's danger. That's what's confusing to me. So Scale

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<v Speaker 5>Eye is an interesting company.

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<v Speaker 4>It's kind of right at the very early stages of

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<v Speaker 4>AI development. It's about hiring humans to do data labeling

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<v Speaker 4>and say that's a tree, that's a bus, and so forth.

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<v Speaker 3>It doesn't sound like super intelligence to me.

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<v Speaker 4>The crucial thing and a colleague, one of my colleagues,

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<v Speaker 4>Ellen who Hewitt, wrote this fantastic piece about Alexander Wang

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<v Speaker 4>today sort of talking about how this guy knows everybody

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<v Speaker 4>in AI and he knows everything that's going on. And

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<v Speaker 4>one of the things about SCALEI that makes it particularly

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<v Speaker 4>useful for Meta is that it's a company that other

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<v Speaker 4>companies would go to when they needed data. So they

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<v Speaker 4>were working with open Ai, they were working with Google,

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<v Speaker 4>They're working with several other companies, and so they have

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<v Speaker 4>a bit of an insight into what those companies are

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<v Speaker 4>working on and what sort of data they were needing

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<v Speaker 4>to have. So now Mark Zuckerberg gets a bit of

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<v Speaker 4>that intelligence as we want what you.

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<v Speaker 1>Have, We want to we want what you know about

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<v Speaker 1>what kind of the whole landscape is doing when it

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<v Speaker 1>comes to AI.

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<v Speaker 5>What have these companies come to you for yeah, exactly.

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<v Speaker 4>And also Alexander Wung is just known as a great networker, right,

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<v Speaker 4>and so when so much of this AI race is

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<v Speaker 4>about talent and bringing people on, we're hearing Zuckerberg is

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<v Speaker 4>emailing people personally and saying, come and join us. I'll

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<v Speaker 4>give you ten million bucks if you do it. This

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<v Speaker 4>is this is just a signal of how fierce the

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<v Speaker 4>AI rate.

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<v Speaker 1>Different type of signing bonus.

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<v Speaker 4>Right, like a smart star, but considerably bigger in terms

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<v Speaker 4>of the numbers.

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<v Speaker 3>What's the promise, though, I mean, what is this super

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<v Speaker 3>intelligence that they're working toward. What is the world Dave

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<v Speaker 3>that Meta Platforms wants to build and be ready for.

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<v Speaker 5>I'm not sure I want to imagine it, frankly, but.

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<v Speaker 3>It's you and me both.

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<v Speaker 5>I mean, there's various names for it.

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<v Speaker 2>Now.

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<v Speaker 5>Superintelligence or artificial general intelligence is.

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<v Speaker 3>Very a g I and super intelligence are the same thing.

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<v Speaker 5>It's all basically the same goal.

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<v Speaker 4>This idea that you can create this essentially one machine

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<v Speaker 4>or you know, one technology that people can use for

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<v Speaker 4>whatever sort of varied us as they want an AI

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<v Speaker 4>to do.

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<v Speaker 5>And there is this feeling that somebody will get there first.

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<v Speaker 4>Right now, I'm of the view personally that there'll be

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<v Speaker 4>several players doing this and that's how it's going to

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<v Speaker 4>the land's going to turn out. However, I think there

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<v Speaker 4>is a sort of panic to make sure that we've

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<v Speaker 4>got to be you know, first, or very very close.

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<v Speaker 5>Behind, to be fair.

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<v Speaker 1>I mean Microsoft has done some similar moves right to

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<v Speaker 1>try and position themselves by acquiring you know, either different

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<v Speaker 1>people that seem to have certainly some AI insight or

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<v Speaker 1>know how. I think Alphabet has done the same thing right,

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<v Speaker 1>So they're all kind of jocking for position.

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<v Speaker 4>They're all truking a position, and they're also taking the

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<v Speaker 4>same approach of we can't be seen to be acquiring

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<v Speaker 4>companies so we can try and acquire people.

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<v Speaker 1>Now.

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<v Speaker 4>I think they're not as clever as they think in

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<v Speaker 4>this regard. I think the Federal Trade Commission, the Department

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<v Speaker 4>of Justice, they know what's happening here. This is competition,

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<v Speaker 4>just in a different form. Because if you've got companies

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<v Speaker 4>that are spending crazy money on wages, does that mean

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<v Speaker 4>a smaller company just can't compete for talent? I guess not, right,

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<v Speaker 4>So there's going to be and we already know the

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<v Speaker 4>FEC is looking into some of these deals.

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<v Speaker 5>I'm looking at what they're going to do.

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<v Speaker 3>Yeah, what's going on when it comes to innovation at

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<v Speaker 3>these huge companies. I mean, I read your calm and

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<v Speaker 3>I think to myself, this is turning into like a

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<v Speaker 3>PEPSI buys Poppy for two billion dollars type of thing,

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<v Speaker 3>because we want to let the startups duke it out

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<v Speaker 3>for shelf space. When it comes to probiotic soda, we're

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<v Speaker 3>not going to develop it ourselves. Is that happening? A

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<v Speaker 3>decade ago, I thought Facebook killed the startup ecosystem.

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<v Speaker 4>Well, I mean, look, I guess it's a question of

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<v Speaker 4>the shifting purpose of the ecosystem to those big companies, right.

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<v Speaker 4>I mean it used to be if you started a startup,

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<v Speaker 4>you had several exit opportunities U IPO, you get acquired.

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<v Speaker 4>You know, both of those channels have almost been closed off.

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<v Speaker 4>We're not seeing so many tech companies IPO anymore. That's

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<v Speaker 4>really dried up, and it's becoming much harder for tech

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<v Speaker 4>companies to acquire companies at all. But at the same time,

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<v Speaker 4>the startup ecosystem still has this fantastic ability to work

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<v Speaker 4>quickly and bring out new ideas. And I wrote in

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<v Speaker 4>that Columny reference that, you know, I'm not sure if

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<v Speaker 4>Alexander Wang joins Meta as like a junior engineer, I'm

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<v Speaker 4>not sure he writeses through the ranks.

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<v Speaker 5>That becomes this guy.

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<v Speaker 4>I think that's only something you could do outside of

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<v Speaker 4>the company, and that's just the nature of startups. And

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<v Speaker 4>one of the sort of moments of real reflection in

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<v Speaker 4>Silica Value was when open ai came along and launched

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<v Speaker 4>chat GBT and everyone's going, well, hold on a second,

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<v Speaker 4>why Google's been working on this for years? You know,

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<v Speaker 4>Microsoft's been doing it. Apple, you know, you'd think would

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<v Speaker 4>have been doing it, and it just wasn't at all really,

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<v Speaker 4>So there is this sort of understanding that the way

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<v Speaker 4>to incubate a lot of this talent, particularly of AI,

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<v Speaker 4>which is so talent and engineering driven, it's easier to

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<v Speaker 4>find that in the ecosystem rather than spend all your

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<v Speaker 4>own R and D for you know, ideas that might

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<v Speaker 4>come toughing.

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<v Speaker 1>It's funny, I was thinking about Amazon when they used

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<v Speaker 1>to just buy all these companies. I feel like kind

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<v Speaker 1>of almost a catch and kill kind of thing, right

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<v Speaker 1>to make sure that they didn't kind of lose out

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<v Speaker 1>on a marketplace. This sounds like it's kind of catch

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<v Speaker 1>and not miss out as well when it comes to

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<v Speaker 1>AI a little bit right, they want to make sure

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<v Speaker 1>that rather, you know, rather than take something out so

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<v Speaker 1>that it's not competitive. It's to like, wait, what am

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<v Speaker 1>I missing with people who really might have some insight

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<v Speaker 1>into this?

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<v Speaker 4>Just quickly, Yeah, I think it's it's they're not worried

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<v Speaker 4>that these smaller companies are going to steal their lunch,

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<v Speaker 4>worried that these smaller companies might go and help.

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<v Speaker 5>Somebody else they steal that lunch.

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