WEBVTT - DOJ Weighs Breaking Up Google

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<v Speaker 1>From Mahard where Innovations, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>Live from Los Angeles and San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up, cracking down on big tech.

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<v Speaker 4>The DOJ considering a historic breakup of Google.

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<v Speaker 5>More than a dozen US states filing lawsuits against TikTok

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<v Speaker 5>will be joined by New Jersey's Attorney general.

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<v Speaker 4>And we're live from Citadel's Global Macro Conference in New York.

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<v Speaker 4>A conversation with the CEO, Pengzau is coming up.

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<v Speaker 3>First, Let's go to our top story. Shares of alphabet

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<v Speaker 3>are lower.

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<v Speaker 4>Today by one point six percent. That's after the DOJ

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<v Speaker 4>is weighing a breakup of Google over its monopolistic dominance

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<v Speaker 4>of online search.

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<v Speaker 3>Be goes straight to the report. Who's been all over this?

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<v Speaker 4>Bloomberg's Leah Lyle and Leah. You reported this back in

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<v Speaker 4>August that this might be a consideration and the DOJ

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<v Speaker 4>would put this to the judge. What's moved on from

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<v Speaker 4>that reporting, Leah.

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<v Speaker 6>Yes, so now we are actually getting into the revenues phase.

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<v Speaker 6>So last night the Justice Department put its first filing

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<v Speaker 6>in it actually just lead out a framework of various

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<v Speaker 6>things that it's thinking about as it is crafting a

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<v Speaker 6>remedy proposal. They're going to have an official proposal that

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<v Speaker 6>lays out everything that they want Google to do on

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<v Speaker 6>November twentieth. But this was just sort of like, here's

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<v Speaker 6>what we're thinking. These are some of the options. And

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<v Speaker 6>the big one, of course, was the breakup.

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<v Speaker 5>Okay, so let's get into that timeline you mentioned November

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<v Speaker 5>twenty if we'll bring it up on the screen. The

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<v Speaker 5>first is the sort of firming of the proposals. Then

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<v Speaker 5>Google gets a chance next April we'll have a trial,

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<v Speaker 5>and then by August I think of twenty twenty five,

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<v Speaker 5>we might get some sort of decision.

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<v Speaker 7>Explain all of that, please, Leah. Yes.

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<v Speaker 6>So DOJ is going to put its filing in that

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<v Speaker 6>says this is exactly what we want, you know, whether

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<v Speaker 6>that's a breakup, data sharing, all those things, and then

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<v Speaker 6>Google gets a chance to respond. Over the next couple months,

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<v Speaker 6>they're going to be doing a lot more discovery again,

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<v Speaker 6>so they're going to do interviews with Google folks, They're

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<v Speaker 6>going to get more documents all leading up to this

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<v Speaker 6>big two week remedy trial that will take place late

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<v Speaker 6>April in that they're going to have witnesses testify before

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<v Speaker 6>the judge about what would actually happen to Google's business

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<v Speaker 6>if he takes any of these particular actions. And then

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<v Speaker 6>he has promised that he will issue a decision in

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<v Speaker 6>August of next year that officially wraps up the case

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<v Speaker 6>at the trial court, and then Google can start its appeal.

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<v Speaker 6>The appeal, you know, takes like eighteen months to two years,

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<v Speaker 6>so we're looking at like August for the sort of

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<v Speaker 6>like first big deadline, and then we'll go into the

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<v Speaker 6>appeals and then you know, maybe some of this would

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<v Speaker 6>be take place like as eighteen months to two years

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<v Speaker 6>from now.

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<v Speaker 4>From then, Let's just go to Google's own response, because

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<v Speaker 4>the US judge is saying that Google's distribution agreements full

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<v Speaker 4>close a substantial portion of the general search services market

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<v Speaker 4>and impair rivals opportunities to compete.

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<v Speaker 3>That's the judges take.

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<v Speaker 4>Google's take, Is it this is pretty radical right near?

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<v Speaker 7>Yes?

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<v Speaker 6>I mean Google said what you found was illegal is

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<v Speaker 6>these specific contracts. So DOJ should be focusing on the

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<v Speaker 6>contracts and just looking at those.

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<v Speaker 7>They say, you.

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<v Speaker 6>Know that these these things that the Justice Department is

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<v Speaker 6>proposing go way beyond those contracts. They're talking about, you know,

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<v Speaker 6>breaking up our company. They're talking about making us sell

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<v Speaker 6>off Chrome, which wasn't even really part of the case

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<v Speaker 6>that much because Google owns Chrome, and so it is

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<v Speaker 6>pushing back pretty hard on a lot of these remedies,

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<v Speaker 6>the breakup in particular. The other thing that they have

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<v Speaker 6>said is, you know, the Justice Department says that AI

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<v Speaker 6>is a very big issue here because a lot of

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<v Speaker 6>the data that Google uses to build its search results

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<v Speaker 6>is the same data that is used to build its

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<v Speaker 6>AI products. And the Justice Department says that Google shouldn't

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<v Speaker 6>sort of get to benefit from the illegal conduct in

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<v Speaker 6>the search market, in the AI market, and so it

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<v Speaker 6>wants to put some limits on that. And Google says,

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<v Speaker 6>wait a second, we were talking about search, that's not AI.

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<v Speaker 6>You shouldn't get to like make some limits on us

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<v Speaker 6>in this completely other different field. So that will be

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<v Speaker 6>a big issue for the judge to decide next year.

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<v Speaker 5>Bloombos lea nil in a late night for you in

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<v Speaker 5>DC in an early morning too important reporting, but the

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<v Speaker 5>stocks on the move. Meanwhile, Google CEO sind the pitch

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<v Speaker 5>I sat down with David Rubinstein for his show Pid

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<v Speaker 5>to Peer Conversations. He's a reminder about what he had

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<v Speaker 5>to say about the mounting legal woes and antitrust suits

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<v Speaker 5>from the DOJ.

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<v Speaker 8>We definitely disagree with the ruling, but be still in

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<v Speaker 8>the middle of the di remedys phase and you know

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<v Speaker 8>we will appeal. This process will likely take many years,

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<v Speaker 8>and you know, I'm confident given that you know, VR

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<v Speaker 8>focused on innovating using technology will do well in the

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<v Speaker 8>long run.

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<v Speaker 5>You can see that full interview tonight on the David

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<v Speaker 5>Rubinstein Show, Peer to Peer Conversations, nine pm New York Time.

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<v Speaker 4>Caroline, let's just dig into anti trust the risk to

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<v Speaker 4>big tech right now. Jason Bett's and Meerorprice Financial Private

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<v Speaker 4>wealth Advisor is with us. And look, the stock is

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<v Speaker 4>down for alphabet but by one point six percent, the

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<v Speaker 4>biggest move since all October the seventh. It doesn't feel

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<v Speaker 4>like many people are pricing in a breakup to this

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<v Speaker 4>extent right now?

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<v Speaker 3>Is it a risk? Anti trust issues?

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<v Speaker 9>Anti trust issues in general make a very, very an

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<v Speaker 9>eye catching headline. Certainly, it's what all of us are

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<v Speaker 9>talking about right now. We see this play out every

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<v Speaker 9>several years in the technology space and in pharmaceuticals and

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<v Speaker 9>and energy with the anti trust issues. My feeling is

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<v Speaker 9>it is it's such a long timeline and there's so

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<v Speaker 9>many what ifs that we can speculate on. But as

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<v Speaker 9>actual investors looking at fundamentals and trying to navigate this,

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<v Speaker 9>I really don't think there's anything that we should be

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<v Speaker 9>thinking about doing differently as we approach our investment portfolios.

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<v Speaker 5>Well, hold on the stocks down one point six percent

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<v Speaker 5>in a market that's up, and we showed that timeline,

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<v Speaker 5>so you get to August the next year, and a

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<v Speaker 5>hypothetical the judge orders the breakup. Now they'll counter it

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<v Speaker 5>in court, but let's say it happens.

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<v Speaker 7>How do you prepare for that?

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<v Speaker 9>I mean, you prepare for it like you prepare for

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<v Speaker 9>anything else, in my opinion, which is making sure that

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<v Speaker 9>everything within the investment portfolio looks okay under the hood,

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<v Speaker 9>and whether you know, regardless of any individual security, you

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<v Speaker 9>want to make sure that you don't have too much

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<v Speaker 9>exposure in anyone individual secure already.

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<v Speaker 2>Where if the worst case scenario does play out, that it.

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<v Speaker 9>Could have somewhat in reparable consequences on your financial future

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<v Speaker 9>or your wealth other than that, you know, with our firm,

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<v Speaker 9>we take a really holistic approach and we take a

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<v Speaker 9>discipline approach. So while this is a it's a very

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<v Speaker 9>eye catching headline today, it's something that we're going to

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<v Speaker 9>be talking about, certainly for the next couple of days,

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<v Speaker 9>if not for the next few weeks.

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<v Speaker 2>It's going to be a long process.

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<v Speaker 9>And the idea of trying to do anything differently with

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<v Speaker 9>positioning right now other than making sure that your that

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<v Speaker 9>your positions are not overweighted or underweighted for that matter,

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<v Speaker 9>I just don't really see anything else that that that

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<v Speaker 9>requires material attention right now today.

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<v Speaker 5>Well, it's interesting you use the phrase single security, but

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<v Speaker 5>basically most of the megacap tech names have some form

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<v Speaker 5>of antitrust scrutiny on them in multiple jurisdictions, and so

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<v Speaker 5>in aggregate, how much of an anxiety is it then,

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<v Speaker 5>if you think about it through that lens.

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<v Speaker 9>Yeah, I mean, if you're properly diversified, not that much

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<v Speaker 9>much of anxiety. Because if the worst case scenario is

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<v Speaker 9>what you see is some sort of shift in leadership

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<v Speaker 9>within you know, the more specialized technology sectors. So again,

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<v Speaker 9>it's just at these stages right now, Like I said,

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<v Speaker 9>we see this time and time again over my last

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<v Speaker 9>twenty seven years in this industry. Certainly with technology and

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<v Speaker 9>AI these stakes are higher, but we've seed it in

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<v Speaker 9>pharma and energy and technology in the past. Generally speaking,

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<v Speaker 9>we don't see a whole lot of you know, movement

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<v Speaker 9>materially within the markets or sometimes within the sectors as

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<v Speaker 9>a result of these anti trust headlines.

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<v Speaker 2>But time will tell.

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<v Speaker 7>Time will tell.

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<v Speaker 4>The anxiety here and now for the market in many

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<v Speaker 4>ways is what revenue, what profitability looks.

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<v Speaker 3>Like right here, right now for AI.

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<v Speaker 4>I know you've been thinking writing a lot on this, Jason,

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<v Speaker 4>and we actually get another good sign. T SMC's numbers

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<v Speaker 4>come in and they come in strong. We'll be digging

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<v Speaker 4>into that.

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<v Speaker 3>In a moment.

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<v Speaker 4>But what are you getting in terms of a gut

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<v Speaker 4>check on the valuations of these mega caps?

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<v Speaker 1>Yeah?

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<v Speaker 9>Absolutely, My gut check is that valuations are stretched.

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<v Speaker 2>Now.

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<v Speaker 9>Having said that, it's the markets, and the markets do

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<v Speaker 9>things that we don't expect.

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<v Speaker 2>All the time.

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<v Speaker 9>But if I look at the valuations and I look

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<v Speaker 9>at what, in my opinion is kind of a more

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<v Speaker 9>or less a best case scenario that's playing out in

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<v Speaker 9>terms of the expectations on future earnings.

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<v Speaker 2>It's tough to.

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<v Speaker 9>It's tough to see these levels go materially higher without

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<v Speaker 9>continued breakout positive data. That said, we've had that to

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<v Speaker 9>your point, and we may see that moving forward. But

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<v Speaker 9>I would just take it back again to making sure,

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<v Speaker 9>regardless of what happens moving forward, look under the hood

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<v Speaker 9>of the portfolio, make sure that you're not too overweighted

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<v Speaker 9>in any individual names or in any one particular sector.

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<v Speaker 4>What about therefore, the macro picture, if you're thinking about

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<v Speaker 4>anyone sector, Look, it's been impossible not to be overweight

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<v Speaker 4>and to be extraordinarily heavily weighted towards technology because of

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<v Speaker 4>the year valuations.

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<v Speaker 3>Of these companies.

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<v Speaker 4>How do you continue to rebalance, particularly when you're thinking

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<v Speaker 4>about what interest rates are up to?

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<v Speaker 9>Yeah, well, I mean, regardless of interest rates, when we're rebalanced,

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<v Speaker 9>and obviously we need to you know, we want to

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<v Speaker 9>do that. I think investors have actually gotten away from

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<v Speaker 9>that a lot over the last year or two, and

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<v Speaker 9>that's part of the reason why we've probably seen this

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<v Speaker 9>excessive leadership in these megacap technology stocks. But in terms

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<v Speaker 9>of other septors that I may like in the markets

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<v Speaker 9>right now, you know, I've said this for about the

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<v Speaker 9>last six to twelve months that I really like utilities,

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<v Speaker 9>not because I thought utilities would be out performing the

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<v Speaker 9>S and P over the last year year to date,

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<v Speaker 9>but just simply because they were so undervalued and the

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<v Speaker 9>valuations were delicious, and I think they're still attractive and

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<v Speaker 9>there's still room for growth there.

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<v Speaker 2>I like healthcare because of it.

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<v Speaker 9>It's because it has actually underperformed, and I think it

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<v Speaker 9>might be due for some mean reversion. And to your point,

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<v Speaker 9>with interest rates, if and when they continue to come down,

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<v Speaker 9>then that sets the table again for conversation about it.

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<v Speaker 9>More active mergers and acquisitions market that's good for healthcarecter,

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<v Speaker 9>especially good for biotech.

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<v Speaker 7>You mentioned utilities.

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<v Speaker 5>Are you one of many that are now interested in

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<v Speaker 5>this groundbreaking new field called nuclear energy that could be

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<v Speaker 5>powering all of the AI infrastructure investment that we'll see.

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<v Speaker 9>At this moment, I would say I would say no,

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<v Speaker 9>not in any above average fashion. We're obviously looking at

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<v Speaker 9>and considering all the information in the news and the

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<v Speaker 9>data points, but there's not any particular over over the

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<v Speaker 9>level over excitement, for lack of a better way to

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<v Speaker 9>put it, this time concerning that all right?

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<v Speaker 5>Oh, thanks to Jason Betts for Ameror Price. Good to

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<v Speaker 5>catch up and have you here on Bloomberg Technology. Now

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<v Speaker 5>coming up on the show, two DeepMind scientists and now

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<v Speaker 5>no Bell Prize winners for their research using artificial intelligence.

0:11:52.360 --> 0:12:09.319
<v Speaker 5>Fascinating conversation to come. This is Bloomberg Technology to Google

0:12:09.400 --> 0:12:14.080
<v Speaker 5>DeepMind scientists and now Nobel Prize winners. They're sharing the

0:12:14.160 --> 0:12:18.280
<v Speaker 5>twenty twenty four Nobel Prize in Chemistry with US professors

0:12:18.280 --> 0:12:23.000
<v Speaker 5>for their breakthrough research into proteins, which were developed through AI.

0:12:23.280 --> 0:12:27.320
<v Speaker 5>Bloomberg's Mark Bergen reported on it and joins us from London.

0:12:27.360 --> 0:12:31.720
<v Speaker 5>I've never seen you Mark so excited about the intersection

0:12:31.840 --> 0:12:33.959
<v Speaker 5>of science and technology.

0:12:34.920 --> 0:12:38.880
<v Speaker 7>What have you been writing about? Oh, tremendously excited.

0:12:39.320 --> 0:12:41.360
<v Speaker 10>This is you know, this has actually come earlier than

0:12:41.400 --> 0:12:43.599
<v Speaker 10>we expected, but we knew it was something that the

0:12:44.559 --> 0:12:47.839
<v Speaker 10>co founder and CEO deep Mind, Demis Hassabis, who was

0:12:47.920 --> 0:12:52.040
<v Speaker 10>one of the award winners. This morning we've reported this

0:12:52.040 --> 0:12:53.280
<v Speaker 10>to something he's told colleagues.

0:12:53.280 --> 0:12:54.960
<v Speaker 7>This has been an ambition of his.

0:12:55.960 --> 0:12:58.560
<v Speaker 10>Our colleague from the Bloomberg Opinion side, Primie also and

0:12:58.760 --> 0:13:00.640
<v Speaker 10>her great book. It just came out, I think she

0:13:01.160 --> 0:13:03.160
<v Speaker 10>said like he told people he wanted the company to

0:13:03.200 --> 0:13:05.520
<v Speaker 10>win at least three to five over the course in

0:13:05.559 --> 0:13:08.000
<v Speaker 10>the next few years. So perhaps this is the first

0:13:08.000 --> 0:13:08.400
<v Speaker 10>of many.

0:13:09.600 --> 0:13:12.320
<v Speaker 4>Let's just go into John Jumper of deep Mind and

0:13:12.360 --> 0:13:13.320
<v Speaker 4>Demis Haseb.

0:13:14.360 --> 0:13:14.800
<v Speaker 7>What is it.

0:13:14.800 --> 0:13:16.760
<v Speaker 3>It's the Alpha fold work that they did.

0:13:16.880 --> 0:13:20.160
<v Speaker 4>Is that really what's pushed them to this first of

0:13:20.200 --> 0:13:22.800
<v Speaker 4>what maybe Demis hopes will be many Nobel prizes.

0:13:24.080 --> 0:13:26.000
<v Speaker 10>I think so, I mean, this is my understanding of Demosis.

0:13:26.080 --> 0:13:31.160
<v Speaker 10>Priority has been using AI for science. You know, it's

0:13:31.200 --> 0:13:35.480
<v Speaker 10>certainly been overshadowed by chat, Gibt and generative AI. And

0:13:35.520 --> 0:13:37.920
<v Speaker 10>there's some when we've done some reporting about how some

0:13:37.960 --> 0:13:40.679
<v Speaker 10>of this work has been overshadowed inside of Google and

0:13:40.760 --> 0:13:43.760
<v Speaker 10>deep Mind right where they have I think for commercial

0:13:43.760 --> 0:13:48.120
<v Speaker 10>reasons shifted a lot of their research priorities towards Gemini

0:13:48.320 --> 0:13:49.400
<v Speaker 10>and towards generative AI.

0:13:50.040 --> 0:13:51.439
<v Speaker 7>But they obviously I still have as a.

0:13:51.440 --> 0:13:55.080
<v Speaker 10>Team working on on Alpha Fold. They've commercialized or trying

0:13:55.120 --> 0:13:59.000
<v Speaker 10>to commercialize that rather with this new alphabet company Isomorphic

0:13:59.080 --> 0:14:02.319
<v Speaker 10>Labs that Demis and his spare time also runs.

0:14:03.320 --> 0:14:04.160
<v Speaker 7>And that's when we said.

0:14:04.160 --> 0:14:06.880
<v Speaker 10>They did a press conference Demis and John Jumper this

0:14:06.920 --> 0:14:09.840
<v Speaker 10>afternoon about this prize, and you know, one of the

0:14:09.840 --> 0:14:12.680
<v Speaker 10>things they talked about was just was the continued work

0:14:12.679 --> 0:14:13.800
<v Speaker 10>around drug discovery.

0:14:15.240 --> 0:14:18.640
<v Speaker 5>Elsewhere in Nobel Prize winners, Jeffrey Hinton won the prize

0:14:18.640 --> 0:14:21.880
<v Speaker 5>for physics his work on neural nets, and in a

0:14:21.920 --> 0:14:24.600
<v Speaker 5>presser he threw a bit of shade listen to this.

0:14:26.040 --> 0:14:31.520
<v Speaker 11>So I was particularly fortunate to have many very clever students,

0:14:31.600 --> 0:14:35.760
<v Speaker 11>much cleverer than me, who actually made things work. They've

0:14:35.800 --> 0:14:39.520
<v Speaker 11>gone on to do great things. I'm particularly proud of

0:14:39.560 --> 0:14:42.080
<v Speaker 11>the fact that one of my students fired Sam Oltman.

0:14:43.240 --> 0:14:45.720
<v Speaker 5>Particularly proud that one of his students fired Sam Outman.

0:14:45.920 --> 0:14:48.280
<v Speaker 5>You've got a free pass. Just your comment on that, Mark.

0:14:50.680 --> 0:14:52.160
<v Speaker 7>I mean, you know, I guess the karma.

0:14:52.160 --> 0:14:54.120
<v Speaker 10>It would be a great luxury to be one of

0:14:54.120 --> 0:14:57.200
<v Speaker 10>the most senior respected scientists in your field, pretty much

0:14:57.440 --> 0:14:58.440
<v Speaker 10>quite blancheous anything.

0:14:58.440 --> 0:15:00.960
<v Speaker 7>But even then, I think, I mean, he was at Google.

0:15:01.040 --> 0:15:04.240
<v Speaker 10>He has fascinating history, right he left left Google and

0:15:04.280 --> 0:15:07.880
<v Speaker 10>talked about kind of gave a really adamant warning about

0:15:08.120 --> 0:15:10.720
<v Speaker 10>some of the dangers and risks of AI. My sense

0:15:10.800 --> 0:15:13.000
<v Speaker 10>is that, and I haven't actually spoken the jeff hinted

0:15:13.000 --> 0:15:15.240
<v Speaker 10>about this, but like he sees Demis Hasibus as a

0:15:15.240 --> 0:15:18.520
<v Speaker 10>scientist and maybe a certainly researcher, some researchers in the

0:15:18.560 --> 0:15:22.800
<v Speaker 10>field as being a scientist and some being executives and CEOs,

0:15:22.840 --> 0:15:25.200
<v Speaker 10>and maybe putting that to Camp and that's you know,

0:15:25.240 --> 0:15:28.360
<v Speaker 10>we are. Google obviously wants to marry those both those worlds,

0:15:28.400 --> 0:15:30.520
<v Speaker 10>and we'll see there's always going to be tension between

0:15:30.520 --> 0:15:30.800
<v Speaker 10>those two.

0:15:30.840 --> 0:15:35.720
<v Speaker 12>Obviously, AI really cleaning up on these Nobel Prizes, and

0:15:35.760 --> 0:15:38.920
<v Speaker 12>of course Jeffrey Hinton was mentioning about Elias at Skiver,

0:15:39.480 --> 0:15:42.920
<v Speaker 12>of course in his role within the Sam Altman Auster matt.

0:15:42.680 --> 0:15:45.120
<v Speaker 3>Berg and we thank you so much. Also in the

0:15:45.160 --> 0:15:46.800
<v Speaker 3>AI space, let's talk about it.

0:15:46.880 --> 0:15:49.880
<v Speaker 4>Some Alman's Open Ai being accused by even Mask of

0:15:49.880 --> 0:15:52.560
<v Speaker 4>harassment in a legal fight that's unfolding as a startup

0:15:52.600 --> 0:15:55.400
<v Speaker 4>ways a plan to shift to a for profit business model.

0:15:55.800 --> 0:15:58.240
<v Speaker 4>Musk filed a complaint in August claiming that open AI's

0:15:58.280 --> 0:16:02.000
<v Speaker 4>co founders manipulated him into investing in the startup, which

0:16:02.040 --> 0:16:06.000
<v Speaker 4>at the start was a nonprofit. Numbers Multinag now joins

0:16:06.040 --> 0:16:10.160
<v Speaker 4>us to explain that back and forth here because there

0:16:10.200 --> 0:16:13.760
<v Speaker 4>have been other legal wranglings between en Or Musk and

0:16:14.000 --> 0:16:17.360
<v Speaker 4>open Ai and open AI now saying, look, you're harassing us.

0:16:19.200 --> 0:16:21.720
<v Speaker 13>Yes, you know, open AI and Musk are now added again.

0:16:22.000 --> 0:16:25.400
<v Speaker 13>This time open AI is lashing back at Musk's lawsuit

0:16:25.440 --> 0:16:28.240
<v Speaker 13>which was fired in August, and saying, you know this

0:16:28.680 --> 0:16:34.640
<v Speaker 13>is harassment. You know, we've been accused of corruption and

0:16:34.800 --> 0:16:38.120
<v Speaker 13>racketeering here. And what they're seeing is that actually Musk

0:16:38.280 --> 0:16:41.800
<v Speaker 13>is doing this to gain a competitive advantage with this XAI.

0:16:42.320 --> 0:16:43.480
<v Speaker 3>So they're saying we're being.

0:16:43.440 --> 0:16:46.800
<v Speaker 13>Harris chair and they've asked a judge actually to throw

0:16:46.840 --> 0:16:50.600
<v Speaker 13>out this lawsuit. So yeah, this sort of saga continues,

0:16:50.840 --> 0:16:53.320
<v Speaker 13>and we'll have to see what happens in terms of

0:16:53.680 --> 0:16:56.320
<v Speaker 13>whether this suit survives in quote or not.

0:16:58.280 --> 0:17:03.360
<v Speaker 5>Multi So open AI is accusing Elon Mask of harassment,

0:17:03.520 --> 0:17:07.440
<v Speaker 5>and Elon Musk is saying that this is a textbook

0:17:07.480 --> 0:17:11.360
<v Speaker 5>tale of altruism versus greed. The bit that I'm struggling

0:17:11.480 --> 0:17:15.119
<v Speaker 5>with is what is Elon Musk trying to achieve? What

0:17:15.320 --> 0:17:17.879
<v Speaker 5>is his end goal in the suits that he is

0:17:18.040 --> 0:17:20.240
<v Speaker 5>filing against open ai.

0:17:21.520 --> 0:17:21.680
<v Speaker 1>God.

0:17:21.880 --> 0:17:24.880
<v Speaker 13>So what he says is he feels like he's been deceived,

0:17:25.040 --> 0:17:27.960
<v Speaker 13>and you know, his lawsuit talked about deceit of Shakespeare

0:17:28.040 --> 0:17:31.400
<v Speaker 13>in proportions. So I think he appears to be hurt

0:17:31.440 --> 0:17:34.120
<v Speaker 13>here and says I've been deceived. You know, you manipulated

0:17:34.200 --> 0:17:37.640
<v Speaker 13>me into investing here. You started off with this founding

0:17:37.760 --> 0:17:43.320
<v Speaker 13>mission of being this you know, company that would benefit

0:17:43.440 --> 0:17:45.800
<v Speaker 13>human good and here you are now sort of shifting

0:17:45.880 --> 0:17:48.600
<v Speaker 13>to this for profit model. So it definitely seems like

0:17:48.760 --> 0:17:52.399
<v Speaker 13>he appears hurt in seat of the words that are

0:17:52.440 --> 0:17:56.960
<v Speaker 13>being used in the lawsuit. And what openI says is, Hey,

0:17:57.080 --> 0:18:00.320
<v Speaker 13>you're just using legal warfare here to hurt us in benefit.

0:18:00.240 --> 0:18:01.000
<v Speaker 2>Your own company.

0:18:01.640 --> 0:18:06.119
<v Speaker 13>Because this new lawsuit which was filing August, Open thee

0:18:06.160 --> 0:18:11.080
<v Speaker 13>I says, is adding on some extra more intense claim

0:18:11.200 --> 0:18:14.479
<v Speaker 13>such as racketeering and corruption. So yeah, so Open thee

0:18:14.480 --> 0:18:16.560
<v Speaker 13>Eye says, you know you're just doing this for your

0:18:16.600 --> 0:18:19.119
<v Speaker 13>own benefit and trying to court us and using the

0:18:19.240 --> 0:18:21.359
<v Speaker 13>court system to basically get.

0:18:21.280 --> 0:18:21.800
<v Speaker 3>Back at us.

0:18:23.320 --> 0:18:34.960
<v Speaker 7>Bloomberg's multi Nayek, thank you very much. Time now for

0:18:35.119 --> 0:18:35.880
<v Speaker 7>AI and action.

0:18:36.040 --> 0:18:39.840
<v Speaker 5>Let's bring in pre Cyprosord, co founder and general partner

0:18:39.920 --> 0:18:43.080
<v Speaker 5>of the newly founded venture firm Touring Capital, for a

0:18:43.200 --> 0:18:47.400
<v Speaker 5>take on how to identify the best industries for AI

0:18:47.560 --> 0:18:49.880
<v Speaker 5>investment and prayer. A lot of my work has been

0:18:50.359 --> 0:18:53.800
<v Speaker 5>looking at a wide range of let's say tech sector

0:18:53.840 --> 0:18:56.120
<v Speaker 5>subdivisions where AI is having an impact.

0:18:56.200 --> 0:18:57.160
<v Speaker 7>It can be anything from.

0:18:57.119 --> 0:19:02.760
<v Speaker 5>Software to hardware, industrial, ev, robotics, healthcare. And right now

0:19:03.000 --> 0:19:06.280
<v Speaker 5>everyone in anyone is slapping a sticker on themselves saying

0:19:06.760 --> 0:19:09.760
<v Speaker 5>we are somehow AI adjacent. But that can be an

0:19:09.760 --> 0:19:13.400
<v Speaker 5>opportunity for you. You've setting yourselves up to invest where

0:19:13.400 --> 0:19:14.200
<v Speaker 5>do you start.

0:19:16.080 --> 0:19:16.639
<v Speaker 14>Right? Right?

0:19:16.760 --> 0:19:19.720
<v Speaker 15>Definitely, Actually thank you for mentioning that. So you know,

0:19:19.840 --> 0:19:22.520
<v Speaker 15>our thesis at touring is to really partner with entrepreneurs

0:19:22.560 --> 0:19:26.639
<v Speaker 15>who are building AI enabled aidjacent software that really solves

0:19:26.760 --> 0:19:31.000
<v Speaker 15>real world problems and enhancas productivity across different industries. But

0:19:31.160 --> 0:19:33.280
<v Speaker 15>you know the answer is, how do you actually choose

0:19:33.320 --> 0:19:36.359
<v Speaker 15>which industries that are so ripe for AI? And we

0:19:36.520 --> 0:19:39.880
<v Speaker 15>typically look for industries that are general laggards and sort

0:19:39.920 --> 0:19:43.119
<v Speaker 15>of that initial wave of digital transformation and who in

0:19:43.200 --> 0:19:46.320
<v Speaker 15>a lot of cases still rely on pen, paper and excel,

0:19:46.760 --> 0:19:50.119
<v Speaker 15>and we think those are the opportunities for the most advancement,

0:19:50.440 --> 0:19:53.840
<v Speaker 15>at least the low hanging fruit that AI can initially tell.

0:19:55.119 --> 0:19:57.960
<v Speaker 4>Looking at some of the startups that you've already invested in,

0:19:58.119 --> 0:20:00.520
<v Speaker 4>we've got your put Photio up for us. Now, Pixis

0:20:00.600 --> 0:20:06.000
<v Speaker 4>that's marketing, de Looper, that's financial services, car dealership with NUMA.

0:20:06.119 --> 0:20:08.439
<v Speaker 4>I can understand why that's perhaps slow to pick up

0:20:08.480 --> 0:20:12.120
<v Speaker 4>on AI. But why do you feel that these areas are.

0:20:12.119 --> 0:20:14.160
<v Speaker 3>Right for disruption from artificial intelligence?

0:20:15.000 --> 0:20:18.359
<v Speaker 15>Yeah, no, that's a great question. So we typically use

0:20:18.400 --> 0:20:20.879
<v Speaker 15>a framework when we think of whether a particular vertical

0:20:20.960 --> 0:20:23.960
<v Speaker 15>or an industry is right for AI transformation. The first

0:20:23.960 --> 0:20:27.480
<v Speaker 15>thing that we look for is a large total addressable market,

0:20:27.840 --> 0:20:30.640
<v Speaker 15>an actual sort of friction or pain point that's really

0:20:30.760 --> 0:20:34.440
<v Speaker 15>experienced in that market. And then we again prefer relatively

0:20:34.520 --> 0:20:37.960
<v Speaker 15>old school industries who still rely on pen, paper and

0:20:38.080 --> 0:20:40.760
<v Speaker 15>excel for the most part, but are now sort of

0:20:40.960 --> 0:20:43.720
<v Speaker 15>forced to deal head on with the tailwinds from AI

0:20:43.840 --> 0:20:47.400
<v Speaker 15>adoption in order to actually remain competitive in that industry.

0:20:48.000 --> 0:20:50.960
<v Speaker 15>And lastly, we look for sort of immediate ROI that's

0:20:51.040 --> 0:20:54.560
<v Speaker 15>delivered from the product to the end user in that market,

0:20:54.960 --> 0:20:58.320
<v Speaker 15>creating sort of this strong propensity to pay. And I

0:20:58.400 --> 0:21:02.320
<v Speaker 15>always say, the best opportunities an AI often seem niche

0:21:02.400 --> 0:21:05.960
<v Speaker 15>to the industry outsider, but are sort of life changing

0:21:06.080 --> 0:21:09.520
<v Speaker 15>to that end user. And you know, as you pointed out, yeah,

0:21:09.840 --> 0:21:12.880
<v Speaker 15>as you pointed out, our investment in Numa is sort

0:21:12.920 --> 0:21:15.359
<v Speaker 15>of a great example of all of this. It's an

0:21:15.440 --> 0:21:19.639
<v Speaker 15>AI communication platform that's sort of purpose built for service

0:21:19.720 --> 0:21:22.000
<v Speaker 15>professionals like car dealerships to use.

0:21:23.520 --> 0:21:26.680
<v Speaker 5>Really really quick, not just a media ROI. But I

0:21:26.840 --> 0:21:29.240
<v Speaker 5>kind of find that companies are shrinking. You can have

0:21:29.320 --> 0:21:33.760
<v Speaker 5>a five or ten person operation that's doing well. Would

0:21:33.760 --> 0:21:34.560
<v Speaker 5>you invest there.

0:21:36.600 --> 0:21:38.440
<v Speaker 15>A five or ten person company?

0:21:38.520 --> 0:21:43.640
<v Speaker 7>You mean a start? Yeah, yeah, I have with serious money. Yeah, yeah,

0:21:43.720 --> 0:21:44.440
<v Speaker 7>absolutely So.

0:21:44.600 --> 0:21:47.800
<v Speaker 15>We typically are touring invest in Series B companies, so

0:21:47.960 --> 0:21:50.960
<v Speaker 15>companies in that early inflection growth point where you have

0:21:51.040 --> 0:21:54.600
<v Speaker 15>about three to ten million of revenues, right, so you know,

0:21:54.720 --> 0:21:56.560
<v Speaker 15>in a lot of cases it can be companies as

0:21:56.640 --> 0:21:59.600
<v Speaker 15>small as call it, fifteen employees, twenty employees.

0:22:00.240 --> 0:22:02.440
<v Speaker 7>So for sure, absolutely we're.

0:22:02.240 --> 0:22:03.639
<v Speaker 3>Going to have to wrap it up. I'm afraid.

0:22:03.840 --> 0:22:05.960
<v Speaker 4>Pria Cyprisad, thank you so much for your time. Co

0:22:06.119 --> 0:22:17.080
<v Speaker 4>founder and general partner at Touring Capital. Welcome back to

0:22:17.119 --> 0:22:19.840
<v Speaker 4>Blue Meg Technology. I'm Caroline Hyde in Los Angeles.

0:22:19.840 --> 0:22:21.520
<v Speaker 7>And Amed Lovelow in San Francisco.

0:22:21.640 --> 0:22:24.200
<v Speaker 5>A quick check in on the markets we are i'd

0:22:24.200 --> 0:22:27.000
<v Speaker 5>say modestly higher and technology is kind of leading the

0:22:27.040 --> 0:22:31.159
<v Speaker 5>way CPI data is what we're all waiting for. Semiconductors

0:22:31.200 --> 0:22:34.360
<v Speaker 5>doing well the names you'd expect, and that makes alphabet

0:22:34.400 --> 0:22:37.520
<v Speaker 5>the parent of Google's decline all the more pronounced. We've

0:22:37.560 --> 0:22:40.320
<v Speaker 5>gone big on that story in the show the preliminary

0:22:40.440 --> 0:22:43.840
<v Speaker 5>proposal of the DOJ to a judge that one option

0:22:44.000 --> 0:22:46.320
<v Speaker 5>is to break up Google in the context of antitrust.

0:22:46.359 --> 0:22:48.720
<v Speaker 5>Will continue to track it, and as we said, it

0:22:48.760 --> 0:22:50.960
<v Speaker 5>will be over a number of months that that process

0:22:51.080 --> 0:22:54.080
<v Speaker 5>plays out. Another name that I'm looking at is Tesla.

0:22:54.600 --> 0:22:57.760
<v Speaker 5>Earlier today, I broke a story with my colleague Dana

0:22:57.800 --> 0:23:00.520
<v Speaker 5>Holr and Karra Coulson that one of the things that

0:23:00.600 --> 0:23:04.080
<v Speaker 5>Elon Musk will talk about at we robot the Robotaxi

0:23:04.160 --> 0:23:07.119
<v Speaker 5>event is the pathway for FSD to be used with

0:23:07.200 --> 0:23:09.280
<v Speaker 5>semi truck. And if you look at that kind of

0:23:10.160 --> 0:23:13.600
<v Speaker 5>ten am Eastern time mark, the start went from negative

0:23:13.640 --> 0:23:16.679
<v Speaker 5>to positive territory. I think there's a lot of interest

0:23:16.800 --> 0:23:19.200
<v Speaker 5>around that story about the future of semi truck.

0:23:19.480 --> 0:23:21.080
<v Speaker 7>But we're waiting what are we going to get.

0:23:21.240 --> 0:23:23.639
<v Speaker 5>We're going to get a purpose built robotaxi of some

0:23:23.880 --> 0:23:27.400
<v Speaker 5>description that is the markets if you're just joining us elsewhere,

0:23:27.720 --> 0:23:30.160
<v Speaker 5>let's turn our attention to New York where the Citadel

0:23:30.200 --> 0:23:34.440
<v Speaker 5>Securities Global Macro Conference is underway. Bloombergsh and Ali Bassak

0:23:34.800 --> 0:23:37.840
<v Speaker 5>is with Citadel's security CEO, Pengjau.

0:23:37.680 --> 0:23:38.400
<v Speaker 7>Listening.

0:23:39.800 --> 0:23:44.119
<v Speaker 1>Through that are already had in many of these ins listens.

0:23:44.280 --> 0:23:47.320
<v Speaker 1>So I think we will see at least for this

0:23:47.600 --> 0:23:52.840
<v Speaker 1>next period an increased adoption of using AI as productivity

0:23:52.880 --> 0:23:56.640
<v Speaker 1>of tools. Internally, we're still some distance away both farm

0:23:56.680 --> 0:24:01.000
<v Speaker 1>and technological perspective, but also importantly if a regulation and

0:24:01.160 --> 0:24:04.679
<v Speaker 1>even legal perspective, and you have further clarity and perhaps

0:24:04.800 --> 0:24:09.680
<v Speaker 1>wee a few of these cases now would test our

0:24:09.920 --> 0:24:12.520
<v Speaker 1>court system and regulatory system in term of what is

0:24:12.600 --> 0:24:15.359
<v Speaker 1>going to be okay, what is going to be acceptable

0:24:15.640 --> 0:24:17.600
<v Speaker 1>when it comes down to actually bringing in generative via

0:24:17.760 --> 0:24:20.880
<v Speaker 1>technology all the way through to the user. We're still

0:24:20.960 --> 0:24:22.000
<v Speaker 1>some distance away from them.

0:24:22.080 --> 0:24:23.720
<v Speaker 14>I want to get into what would kind of break

0:24:23.720 --> 0:24:26.440
<v Speaker 14>down those limitations, what it would unlock. But before that,

0:24:26.800 --> 0:24:29.520
<v Speaker 14>you mentioned open AI. Another thing about a year ago

0:24:29.680 --> 0:24:32.440
<v Speaker 14>is many financial companies would say we are hesitant to

0:24:32.480 --> 0:24:35.000
<v Speaker 14>work with a third party because of the liability, because

0:24:35.000 --> 0:24:37.080
<v Speaker 14>of the risks, and more and more you've seen more

0:24:37.160 --> 0:24:40.119
<v Speaker 14>financial services companies work with open ai, work with the

0:24:40.200 --> 0:24:44.080
<v Speaker 14>anthropic what have you? Are you working with open ai

0:24:44.440 --> 0:24:45.800
<v Speaker 14>and other players as well.

0:24:46.080 --> 0:24:50.600
<v Speaker 1>We use we partner with most of the top providers

0:24:50.680 --> 0:24:54.000
<v Speaker 1>open ai, you know, I think from our perspective, it's

0:24:54.840 --> 0:24:58.680
<v Speaker 1>they've been valuable partners. And then the other part of

0:24:58.760 --> 0:25:02.200
<v Speaker 1>this is it's crucially important for us to be informed

0:25:02.280 --> 0:25:06.720
<v Speaker 1>on the cutting edge, even if not every upgrade and

0:25:06.960 --> 0:25:10.639
<v Speaker 1>every release every week is necessarily going to lead to

0:25:11.320 --> 0:25:13.920
<v Speaker 1>real changes for us internally, we want to be on

0:25:14.000 --> 0:25:16.920
<v Speaker 1>that releational We want to be examining that. We want

0:25:17.000 --> 0:25:22.480
<v Speaker 1>to stay up today. What is becoming possible and that's

0:25:22.640 --> 0:25:25.320
<v Speaker 1>moving every week, that's moving every week.

0:25:25.480 --> 0:25:26.840
<v Speaker 3>What is becoming possible?

0:25:26.920 --> 0:25:29.639
<v Speaker 14>What does working with open ai do for you that

0:25:29.680 --> 0:25:31.040
<v Speaker 14>you wouldn't have been able to do before.

0:25:32.400 --> 0:25:36.320
<v Speaker 1>I think some of the there's a lot of different examples.

0:25:36.400 --> 0:25:40.560
<v Speaker 1>I think some of the key workflows that was viewed

0:25:40.760 --> 0:25:46.800
<v Speaker 1>as uniquely possible if you had a lot of certain

0:25:46.800 --> 0:25:52.440
<v Speaker 1>type of talent are now being transferred from a heavily

0:25:53.280 --> 0:25:58.800
<v Speaker 1>high value, human labor intensive part of the workflow to

0:25:59.119 --> 0:26:06.320
<v Speaker 1>being heavily optimals automated. Even things like debugging right, things

0:26:06.560 --> 0:26:11.879
<v Speaker 1>like hey cold reviews, Those were things that consume the

0:26:12.000 --> 0:26:16.040
<v Speaker 1>very large amount of high value developer resources today that's

0:26:16.480 --> 0:26:21.199
<v Speaker 1>being somewhat replaced even in core areas of our model building.

0:26:21.359 --> 0:26:23.119
<v Speaker 1>I'm not going to get into a level of details.

0:26:23.160 --> 0:26:26.159
<v Speaker 1>There's a certain part of the workflow that consumes a

0:26:26.280 --> 0:26:31.600
<v Speaker 1>lot of our most valuable researcher time are also becoming

0:26:31.800 --> 0:26:35.880
<v Speaker 1>a much more automated. So again, I come back from

0:26:36.400 --> 0:26:44.800
<v Speaker 1>the perspective, less revolutionary change from the product offering perspective,

0:26:45.320 --> 0:26:49.959
<v Speaker 1>but more of a change from a productivity perspective. If

0:26:50.040 --> 0:26:52.320
<v Speaker 1>I can get if I can take this group of

0:26:52.920 --> 0:26:58.439
<v Speaker 1>thirty of the brightest, smartest, most innovative researchers in capital

0:26:58.480 --> 0:27:01.800
<v Speaker 1>market and get twenty percent of activity getting out of

0:27:01.800 --> 0:27:06.480
<v Speaker 1>these thirty, that's like hiring six international math on empirical

0:27:06.560 --> 0:27:09.560
<v Speaker 1>medalists just like that, and I'll do that every day.

0:27:10.040 --> 0:27:10.560
<v Speaker 2>Incredible.

0:27:10.680 --> 0:27:14.360
<v Speaker 14>So what does this mean in terms of your performance

0:27:14.400 --> 0:27:17.480
<v Speaker 14>as a company. You know that's been rumored forever that

0:27:17.880 --> 0:27:21.560
<v Speaker 14>Citadel Securities would seek an IPO at some juncture, And

0:27:21.760 --> 0:27:24.280
<v Speaker 14>so is this helping you kind of grow your margins

0:27:24.359 --> 0:27:28.080
<v Speaker 14>much much faster into a moment like that?

0:27:30.359 --> 0:27:33.360
<v Speaker 1>So there's two things. So well, first of all, we'll

0:27:33.400 --> 0:27:36.960
<v Speaker 1>make sure Bloomberg is well informed if we ever seriously

0:27:37.119 --> 0:27:43.320
<v Speaker 1>a considered ipel are you seriously considering no, and you

0:27:43.440 --> 0:27:49.760
<v Speaker 1>all will read it Bloomberg first, I'm sure, and putting

0:27:49.800 --> 0:27:51.920
<v Speaker 1>that aside, I like how you slip that in there,

0:27:54.440 --> 0:27:58.320
<v Speaker 1>But putting that aside, I think it goes in both ways.

0:27:58.560 --> 0:28:02.920
<v Speaker 1>I think for companies, there's certainly I would say there's

0:28:02.960 --> 0:28:07.679
<v Speaker 1>a risk for firms to not stay with the speed

0:28:07.840 --> 0:28:13.479
<v Speaker 1>of innovation, and it's not necessarily generative. Ass companies are

0:28:13.600 --> 0:28:17.040
<v Speaker 1>spending time and resources in figuring out how they can

0:28:17.119 --> 0:28:21.920
<v Speaker 1>leverage more automation and technology in increasing their productivity to

0:28:22.080 --> 0:28:25.600
<v Speaker 1>stay on that frontier, right, And the firms that cannot

0:28:25.680 --> 0:28:29.040
<v Speaker 1>keep up in doing that, not only will they not win,

0:28:29.119 --> 0:28:32.439
<v Speaker 1>they will lose. Okay, And I think the top firms

0:28:32.640 --> 0:28:37.879
<v Speaker 1>in every field, including our field, are spending a really

0:28:38.040 --> 0:28:41.600
<v Speaker 1>high quality time being very intentional in thinking about where

0:28:41.640 --> 0:28:45.200
<v Speaker 1>they're going to allocate their resources to keep up with

0:28:45.440 --> 0:28:50.200
<v Speaker 1>that innovation. At the same time, I also believe firms

0:28:50.280 --> 0:28:53.880
<v Speaker 1>like ourselves on the other end of this will win

0:28:54.160 --> 0:28:59.200
<v Speaker 1>based on our understanding of the market, Based on our understanding,

0:28:59.520 --> 0:29:03.440
<v Speaker 1>yet again, on what are the most important and most

0:29:03.560 --> 0:29:06.800
<v Speaker 1>valuable problems our clients want to solve and that market

0:29:06.880 --> 0:29:11.320
<v Speaker 1>want to solve. We are building better tools, but those

0:29:11.400 --> 0:29:15.720
<v Speaker 1>better tools will not be nearly valuable enough unless we

0:29:15.880 --> 0:29:18.640
<v Speaker 1>use them to solve the most valuable problems. And we

0:29:18.760 --> 0:29:22.680
<v Speaker 1>do need those humans going back to that to be

0:29:22.840 --> 0:29:23.680
<v Speaker 1>all things AI.

0:29:23.800 --> 0:29:27.560
<v Speaker 4>We've blue mentioned Ali, Bassek and Beans out of citydel securities.

0:29:27.360 --> 0:29:28.520
<v Speaker 1>Ed studying the market.

0:29:28.560 --> 0:29:30.600
<v Speaker 5>All right, let's get some more news in today's talking

0:29:30.720 --> 0:29:33.960
<v Speaker 5>tech and first up, social media platform X has been

0:29:34.040 --> 0:29:37.480
<v Speaker 5>ordered to release old data from twenty twenty two on

0:29:37.720 --> 0:29:40.880
<v Speaker 5>fake users that Elon Musk tried to use to back

0:29:40.920 --> 0:29:43.760
<v Speaker 5>out of the deal to buy Twitter. A Delaware judge

0:29:43.760 --> 0:29:47.760
<v Speaker 5>has ordered X to file unredacted versions of several documents,

0:29:47.960 --> 0:29:49.640
<v Speaker 5>as well as some Slack messages.

0:29:50.000 --> 0:29:50.240
<v Speaker 7>Plus.

0:29:50.360 --> 0:29:53.560
<v Speaker 5>Shares of chip maker TSMC higher today after the company

0:29:53.600 --> 0:29:57.160
<v Speaker 5>posted a better than expected thirty nine percent rise in

0:29:57.240 --> 0:30:00.400
<v Speaker 5>quarterly revenue. The main chip maker to envis year and

0:30:00.560 --> 0:30:04.400
<v Speaker 5>Apple reported September quarter sales of twenty three point six

0:30:04.480 --> 0:30:09.280
<v Speaker 5>billion dollars, calling analyst concerns that AI spending is tapering off,

0:30:09.400 --> 0:30:13.080
<v Speaker 5>and Nvidio CEO Jensen Jang says the future of AI

0:30:13.200 --> 0:30:17.080
<v Speaker 5>will be in services that can quote reason. Speaking on

0:30:17.160 --> 0:30:21.240
<v Speaker 5>a podcast hosted by arm Holding CEO Rene hass Huang

0:30:21.320 --> 0:30:23.560
<v Speaker 5>says next gent tools will be able to respond to

0:30:23.680 --> 0:30:27.640
<v Speaker 5>queries by searching and reflecting on their own conclusions, but

0:30:27.800 --> 0:30:30.120
<v Speaker 5>prefaces that it all requires.

0:30:29.720 --> 0:30:32.120
<v Speaker 7>The cost of computing to come down.

0:30:32.240 --> 0:30:37.120
<v Speaker 4>First, Caroline coming up the search for more energy maybe

0:30:37.600 --> 0:30:40.440
<v Speaker 4>in space. We speak with the co found Robin hood

0:30:40.760 --> 0:30:44.040
<v Speaker 4>Age that about his new company. He for Flux, that's

0:30:44.160 --> 0:31:03.520
<v Speaker 4>next to Bloomberg Technology. TikTok It has been sued by

0:31:03.640 --> 0:31:07.080
<v Speaker 4>over a dozen states for allegedly deceiving users about its

0:31:07.120 --> 0:31:09.960
<v Speaker 4>safety for children and for using addictive features to keep

0:31:10.040 --> 0:31:13.720
<v Speaker 4>kids on the platform longer to maximize profits. One of

0:31:13.760 --> 0:31:16.880
<v Speaker 4>those states is New Jersey, As Attorney General Matt Platkin

0:31:17.280 --> 0:31:20.520
<v Speaker 4>joins US now for more. Attorney General, why pick this

0:31:20.640 --> 0:31:23.320
<v Speaker 4>particular fight with TikTok It's already being sued by the

0:31:23.400 --> 0:31:26.520
<v Speaker 4>FEDS for child privacy issues. It might even be banned

0:31:26.560 --> 0:31:30.640
<v Speaker 4>in the United States. Tell us the underlying reason for pursuing.

0:31:30.240 --> 0:31:34.600
<v Speaker 16>This, Well, we know we're facing a youth mental health

0:31:34.640 --> 0:31:37.560
<v Speaker 16>crisis in this country, and unfortunately New Jersey is no exception.

0:31:38.160 --> 0:31:40.520
<v Speaker 16>And as we have shown in a number of actions,

0:31:40.960 --> 0:31:44.640
<v Speaker 16>we know that social media companies have knowingly targeted our

0:31:44.720 --> 0:31:47.680
<v Speaker 16>youth in ways that have damaged their mental health and

0:31:47.840 --> 0:31:50.840
<v Speaker 16>caused them real harm. And then, to make matters worse,

0:31:51.200 --> 0:31:53.400
<v Speaker 16>they've told the public that these products are safe when

0:31:53.400 --> 0:31:56.120
<v Speaker 16>they themselves know they are not. So the lawsuits that

0:31:56.400 --> 0:31:59.880
<v Speaker 16>New Jersey and several other states filed yesterday are meaning

0:32:00.280 --> 0:32:03.200
<v Speaker 16>different than the lawsuit that you reference that the Department.

0:32:02.920 --> 0:32:03.800
<v Speaker 7>Of Justices filed.

0:32:03.880 --> 0:32:08.000
<v Speaker 16>It's for violation of our state consumer laws for again

0:32:08.280 --> 0:32:11.240
<v Speaker 16>misleading the public about the safety of their products and

0:32:11.440 --> 0:32:16.280
<v Speaker 16>deliberately treating our youngest residents as nothing more than commodities.

0:32:18.200 --> 0:32:22.040
<v Speaker 4>Let's talk about what's materially different from October twenty fourth

0:32:22.200 --> 0:32:26.800
<v Speaker 4>last year, when New Jersey and other states also sued Meta,

0:32:26.880 --> 0:32:31.640
<v Speaker 4>the parent company of Instagram or Facebook, again to protect children,

0:32:32.000 --> 0:32:33.120
<v Speaker 4>mental health and the like.

0:32:33.760 --> 0:32:36.280
<v Speaker 3>How are the two actions different. What do you see

0:32:36.280 --> 0:32:37.360
<v Speaker 3>in particular with TikTok.

0:32:39.320 --> 0:32:43.239
<v Speaker 16>Well, legally, they're distinct lawsuits, and these investigations have been

0:32:43.400 --> 0:32:47.200
<v Speaker 16>underway for some time, and investigations of these kinds take time.

0:32:47.720 --> 0:32:51.040
<v Speaker 16>But as a general matter, we know that social media

0:32:51.120 --> 0:32:56.440
<v Speaker 16>companies like Meta and TikTok have targeted our youth, have

0:32:57.120 --> 0:33:01.720
<v Speaker 16>deliberately taken steps to keep our youth on their platforms

0:33:02.080 --> 0:33:08.480
<v Speaker 16>for long periods of time, have implemented features like TikTok

0:33:08.560 --> 0:33:11.800
<v Speaker 16>has with respect to body image, features that allow you

0:33:11.920 --> 0:33:15.280
<v Speaker 16>to put yourself on TikTok as if you had plastic

0:33:15.320 --> 0:33:19.760
<v Speaker 16>surgery or extensive makeup that cause real harm to kids'

0:33:19.760 --> 0:33:25.160
<v Speaker 16>mental health. That's created body dysmorphia crises and mental health crises,

0:33:25.200 --> 0:33:28.160
<v Speaker 16>particularly amongst young girls. And so in that sense, the

0:33:28.240 --> 0:33:31.760
<v Speaker 16>lawsuits are similar in that you see similar patterns across them,

0:33:32.440 --> 0:33:36.040
<v Speaker 16>but they are distinct lawsuits and Meta because the Department

0:33:36.080 --> 0:33:40.200
<v Speaker 16>of Justice had not filed a federal claim about children's

0:33:40.240 --> 0:33:45.040
<v Speaker 16>privacy in Meta, we filed a claim there under that law,

0:33:45.560 --> 0:33:47.960
<v Speaker 16>whereas the Department of Justice, as you noted, had stepped

0:33:48.000 --> 0:33:49.800
<v Speaker 16>in on TikTok, so we did not need.

0:33:49.800 --> 0:33:50.880
<v Speaker 7>To file a federal claim.

0:33:51.320 --> 0:33:54.640
<v Speaker 16>But otherwise there are some similarities across the two complaints.

0:33:55.600 --> 0:33:59.360
<v Speaker 5>Well to any general plat kid forgive me for many

0:33:59.440 --> 0:34:02.440
<v Speaker 5>of you'll constituents that that's a fair question.

0:34:02.800 --> 0:34:03.560
<v Speaker 7>What's the point.

0:34:04.120 --> 0:34:08.040
<v Speaker 5>There is a federal suit against TikTok, there's a legislative

0:34:08.080 --> 0:34:11.200
<v Speaker 5>effort to get it banned in this country, and you've

0:34:11.400 --> 0:34:16.360
<v Speaker 5>chosen a long path with this specific initiative, Why do

0:34:16.520 --> 0:34:18.719
<v Speaker 5>it if there are all those others already in place,

0:34:18.840 --> 0:34:21.799
<v Speaker 5>some of which have analogous skulls with what you're trying

0:34:21.840 --> 0:34:22.320
<v Speaker 5>to achieve.

0:34:23.920 --> 0:34:27.560
<v Speaker 16>Well, the federal lawsuit plain and simple covers different conduct. Here.

0:34:27.640 --> 0:34:30.840
<v Speaker 16>We're talking about deliberately misleading the public about the safety

0:34:30.880 --> 0:34:34.040
<v Speaker 16>of their products, about telling people that their product is

0:34:34.080 --> 0:34:37.279
<v Speaker 16>safe when they know it's not, when the United States

0:34:37.320 --> 0:34:40.279
<v Speaker 16>Surgeon General has said publicly it's not that they should

0:34:40.280 --> 0:34:42.800
<v Speaker 16>have a warning label on it. And kids are using

0:34:43.440 --> 0:34:46.839
<v Speaker 16>TikTok in particular, for hours and hours a day, when

0:34:46.880 --> 0:34:49.319
<v Speaker 16>we know just a few hours of TikTok a day

0:34:49.760 --> 0:34:53.759
<v Speaker 16>can cause significant mental health harms to our kids. Now,

0:34:53.800 --> 0:34:56.320
<v Speaker 16>I'm the state's attorney general. I'm the chief law enforcement

0:34:56.400 --> 0:34:59.200
<v Speaker 16>officer for nine point three million people. My job is

0:34:59.280 --> 0:35:02.520
<v Speaker 16>to keep them safe. And when I see a company

0:35:02.680 --> 0:35:06.120
<v Speaker 16>peddling a product targeting our youngest residents, treating them for

0:35:06.280 --> 0:35:09.719
<v Speaker 16>nothing more than dollar signs, and putting profit ahead of

0:35:09.760 --> 0:35:12.040
<v Speaker 16>their mental health, then I have an obligation to step

0:35:12.120 --> 0:35:15.360
<v Speaker 16>in and protect them. And that's what this lawsuit and

0:35:15.400 --> 0:35:17.239
<v Speaker 16>the lawsuit against Meta is doing.

0:35:18.280 --> 0:35:20.920
<v Speaker 7>Mister Patkin. If this proceeds and goes before a jury.

0:35:21.560 --> 0:35:26.520
<v Speaker 5>How will you show that what TikTok does is intentional,

0:35:26.800 --> 0:35:32.960
<v Speaker 5>that it is malicious in your accusation that they are

0:35:33.080 --> 0:35:34.640
<v Speaker 5>profiting off young users.

0:35:37.520 --> 0:35:40.280
<v Speaker 16>Well, I'm not going to speak to what we'd eventually

0:35:40.360 --> 0:35:42.680
<v Speaker 16>show at a trial, but I think our complaint lays

0:35:42.719 --> 0:35:48.160
<v Speaker 16>out very clearly what TikTok knew and the harms that

0:35:48.239 --> 0:35:49.640
<v Speaker 16>their products have caused.

0:35:50.040 --> 0:35:50.560
<v Speaker 7>Including the.

0:35:52.200 --> 0:35:56.680
<v Speaker 16>Result is that we have essentially compulsive users of TikTok

0:35:56.760 --> 0:36:00.800
<v Speaker 16>products ages thirteen to seventeen throughout our state and throughout

0:36:00.840 --> 0:36:03.759
<v Speaker 16>this country, and we know at the same time we're

0:36:03.800 --> 0:36:11.480
<v Speaker 16>experiencing a massive spike in mental health challenges for our youths, suicidal, ideation, depression, anxiety,

0:36:11.719 --> 0:36:15.880
<v Speaker 16>all up at historic levels. So we're very confident in

0:36:15.960 --> 0:36:18.440
<v Speaker 16>the case that we've brought against TikTok. We obviously wouldn't

0:36:18.719 --> 0:36:21.839
<v Speaker 16>bring a lawsuit like this if we didn't feel very

0:36:21.920 --> 0:36:24.960
<v Speaker 16>confident in our case and if we weren't prepared to

0:36:25.080 --> 0:36:27.080
<v Speaker 16>take on what is as with Meta, one of the

0:36:27.160 --> 0:36:30.240
<v Speaker 16>largest companies in the world. And my message is simple,

0:36:30.560 --> 0:36:31.759
<v Speaker 16>we're ready for that fight.

0:36:33.640 --> 0:36:36.359
<v Speaker 5>New Jersey Attorney General Matt Platkin, thank you very much

0:36:36.400 --> 0:36:48.240
<v Speaker 5>for your time. The answer to the world's energy problems

0:36:48.320 --> 0:36:50.960
<v Speaker 5>may be in space. A for Flux is a new

0:36:51.000 --> 0:36:55.520
<v Speaker 5>company with the aims of harnessing solar energy using lasers

0:36:55.719 --> 0:37:00.960
<v Speaker 5>and low Earth orbit satellites in order to deliver renewable globally.

0:37:02.280 --> 0:37:05.239
<v Speaker 5>CEO by Jubart joins us in San Francisco for more.

0:37:05.600 --> 0:37:09.160
<v Speaker 5>It's out of science fiction, but you can kind of

0:37:09.239 --> 0:37:12.120
<v Speaker 5>see it. So explain the basics of the technology, how

0:37:12.160 --> 0:37:12.719
<v Speaker 5>this would work.

0:37:13.120 --> 0:37:15.759
<v Speaker 17>Yeah, so thanks for having me on. Like I said,

0:37:15.800 --> 0:37:17.440
<v Speaker 17>the name of the company is Ether or Flux, and

0:37:17.520 --> 0:37:20.280
<v Speaker 17>the mission is to take this idea of space solar power,

0:37:20.719 --> 0:37:24.080
<v Speaker 17>which is an old NASA Department of Energy idea, and

0:37:24.200 --> 0:37:26.760
<v Speaker 17>make it a real life thing. And the basic concept

0:37:26.920 --> 0:37:30.279
<v Speaker 17>is you collect solar power and orbit and by doing

0:37:30.360 --> 0:37:35.520
<v Speaker 17>so you're able to be met down to locations virtually globally,

0:37:35.880 --> 0:37:38.480
<v Speaker 17>and by doing so address a lot of the limitations

0:37:38.520 --> 0:37:41.160
<v Speaker 17>of renewable energy and the INNERMITZI.

0:37:41.120 --> 0:37:43.920
<v Speaker 5>To address what the audience might be wondering. I know

0:37:44.000 --> 0:37:45.960
<v Speaker 5>you as one of the co founders of Robin Hoods.

0:37:46.719 --> 0:37:49.160
<v Speaker 5>Your background, though, is in physics. You have a family

0:37:49.239 --> 0:37:51.920
<v Speaker 5>tie to NASA. How did this company come about?

0:37:52.400 --> 0:37:56.040
<v Speaker 17>Yeah, so, my love of physics and space industry actually

0:37:56.120 --> 0:37:57.279
<v Speaker 17>goes back really long.

0:37:57.440 --> 0:37:58.600
<v Speaker 7>So I grew up with my.

0:37:58.680 --> 0:38:01.880
<v Speaker 17>Dad studying the United States. He worked at NASA as

0:38:02.320 --> 0:38:04.480
<v Speaker 17>when I was a kid, and I studied physics and

0:38:04.600 --> 0:38:07.520
<v Speaker 17>math at Stanford, And so I've kind of had a

0:38:07.640 --> 0:38:12.239
<v Speaker 17>love of the space industry from childhood and through building robinhood.

0:38:12.680 --> 0:38:16.440
<v Speaker 17>The passion for looking for commercial opportunities in space, how

0:38:16.520 --> 0:38:19.319
<v Speaker 17>can we make space technology useful for people on Earth

0:38:20.120 --> 0:38:21.880
<v Speaker 17>has kind of been a love of mine for a

0:38:21.960 --> 0:38:26.120
<v Speaker 17>long time, and in particular asking the question about how

0:38:26.160 --> 0:38:30.200
<v Speaker 17>can we bring natural resources from space down to Earth?

0:38:30.719 --> 0:38:33.560
<v Speaker 17>And I think energy is one of the natural choices

0:38:33.600 --> 0:38:35.560
<v Speaker 17>for that bringing it.

0:38:35.719 --> 0:38:37.200
<v Speaker 3>Down from space to Earth.

0:38:37.400 --> 0:38:40.239
<v Speaker 4>You said, beam it down, like get into the nity

0:38:40.320 --> 0:38:42.239
<v Speaker 4>and gritty, how does one beam it down?

0:38:43.320 --> 0:38:46.360
<v Speaker 17>Yeah, So the way that we're going to be transferring

0:38:46.400 --> 0:38:50.000
<v Speaker 17>power from space to Earth is actually using a constellation

0:38:50.080 --> 0:38:53.040
<v Speaker 17>of satellites in low Earth orbit, and each one collects

0:38:53.120 --> 0:38:56.880
<v Speaker 17>power and then uses infrared lasers to find a ground

0:38:56.920 --> 0:39:00.279
<v Speaker 17>station and actually transmit power down to it in the

0:39:00.360 --> 0:39:03.400
<v Speaker 17>same way that you know you collect solar power with

0:39:05.360 --> 0:39:08.520
<v Speaker 17>solar power traditional panels. With this, you'll have a bespoke

0:39:08.600 --> 0:39:11.719
<v Speaker 17>ground station that forms a connection with a satellite and

0:39:11.840 --> 0:39:17.400
<v Speaker 17>receives power from space. So where companies like SpaceX have

0:39:17.520 --> 0:39:21.880
<v Speaker 17>launched a constellation of communications satellites, this would be a

0:39:22.000 --> 0:39:23.680
<v Speaker 17>constellation of energy satellites.

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<v Speaker 4>You're financially backing this by you obviously, with the help

0:39:28.040 --> 0:39:31.400
<v Speaker 4>of a very successful startup you were co CEO of previously.

0:39:32.200 --> 0:39:34.640
<v Speaker 4>What is the funding that will be necessary, who will

0:39:34.719 --> 0:39:35.480
<v Speaker 4>you bring on board?

0:39:35.800 --> 0:39:36.799
<v Speaker 3>How much will this cost?

0:39:37.960 --> 0:39:40.640
<v Speaker 17>So right now the company is funded by me, but

0:39:40.800 --> 0:39:43.600
<v Speaker 17>as we grow the company, you know, we're talking about

0:39:43.600 --> 0:39:46.719
<v Speaker 17>building a large number of satellites, so it'll take more

0:39:46.760 --> 0:39:50.680
<v Speaker 17>capital to do that. In terms of the scaling of

0:39:50.760 --> 0:39:53.600
<v Speaker 17>the business. One of the opportunities that we're looking at

0:39:53.800 --> 0:39:56.799
<v Speaker 17>in the near term is going to be how can

0:39:56.880 --> 0:39:59.919
<v Speaker 17>we solve problems that are real on planet Earth today?

0:40:00.480 --> 0:40:03.279
<v Speaker 17>And the stuff that we're focusing on is how can

0:40:03.360 --> 0:40:07.040
<v Speaker 17>we deliver power to places that are either contested or

0:40:07.160 --> 0:40:11.320
<v Speaker 17>difficult to reach. So think military applications like for deployed

0:40:11.360 --> 0:40:14.040
<v Speaker 17>bases or things like remote mining applications.

0:40:14.160 --> 0:40:19.000
<v Speaker 5>Got to ask, sounds amazing, but are we talking theoretical

0:40:19.080 --> 0:40:21.400
<v Speaker 5>physics or are we talking applied physics?

0:40:21.680 --> 0:40:24.160
<v Speaker 17>Yeah, So this was one of the core ideas behind

0:40:24.200 --> 0:40:28.600
<v Speaker 17>this approach, which is we view this as a primarily

0:40:28.640 --> 0:40:32.400
<v Speaker 17>an engineering and economics problem, not a hard science problem.

0:40:32.560 --> 0:40:34.839
<v Speaker 17>So this is not the sort of company where we're

0:40:34.880 --> 0:40:38.080
<v Speaker 17>looking to make a breakthrough in science, but rather, how

0:40:38.120 --> 0:40:41.480
<v Speaker 17>can we take technologies that exist today, where even other

0:40:41.600 --> 0:40:45.560
<v Speaker 17>industries are maturing them, and use those technologies to create

0:40:45.640 --> 0:40:46.800
<v Speaker 17>something that can happen today.

0:40:47.440 --> 0:40:49.600
<v Speaker 7>You will need a launch provider to put you to

0:40:49.719 --> 0:40:50.000
<v Speaker 7>all bit.

0:40:50.160 --> 0:40:54.239
<v Speaker 5>What is your relationship with SpaceX, rocket Lab the other

0:40:54.440 --> 0:40:55.239
<v Speaker 5>providers out there?

0:40:55.400 --> 0:40:57.759
<v Speaker 17>Yeah, so we're talking to launch providers right now. We're

0:40:57.800 --> 0:41:02.000
<v Speaker 17>still in the early stages. We're talking to SpaceX, as

0:41:02.040 --> 0:41:06.120
<v Speaker 17>you mentioned, and we're targeting a launch of our first mission,

0:41:06.200 --> 0:41:10.560
<v Speaker 17>which we'll aim to demonstrate this capability Q four of

0:41:10.680 --> 0:41:12.160
<v Speaker 17>next year, Q one the year after.

0:41:14.440 --> 0:41:16.200
<v Speaker 7>Hey for flux, Sorry car go ahead.

0:41:17.600 --> 0:41:18.680
<v Speaker 3>Great to have some time with them.

0:41:18.880 --> 0:41:22.359
<v Speaker 4>I'm just envisaging lasers beaming down from space Infra red.

0:41:22.800 --> 0:41:27.359
<v Speaker 3>We appreciate it. Thank you for explaining you this edition

0:41:27.560 --> 0:41:29.160
<v Speaker 3>of Bloomberg Technology.

0:41:28.800 --> 0:41:34.440
<v Speaker 5>Ed tomorrow Bloomberg Technology is live from Los Angeles for

0:41:34.600 --> 0:41:35.759
<v Speaker 5>Bloomberg screen time.

0:41:36.360 --> 0:41:39.320
<v Speaker 7>You do not want to miss that. Just stunning lineup

0:41:39.400 --> 0:41:39.840
<v Speaker 7>of guests.

0:41:40.520 --> 0:41:42.960
<v Speaker 5>Pretty stunning lineup of guests Today's show as well, recap

0:41:43.040 --> 0:41:45.359
<v Speaker 5>it on the podcast. You know exactly where to find

0:41:45.400 --> 0:41:49.239
<v Speaker 5>it online, Apple, Spotify, iHeart, and all of the Bloomberg platforms.

0:41:49.920 --> 0:41:52.080
<v Speaker 5>The team is out in La right now. I've got

0:41:52.120 --> 0:41:54.759
<v Speaker 5>to catch a flight and join them. A few big

0:41:54.880 --> 0:41:57.880
<v Speaker 5>days of shows to come. This is Bloomberg Technology.

0:42:00.560 --> 0:42:04.920
<v Speaker 2>When he didn't show, when he didn't he