WEBVTT - Wall Street Bets on If, When AI Bubble Will Pop

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and Eva Low in Sent Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up, Well Tech.

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<v Speaker 3>As you can see, trades lower as AI anxiety kicks

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<v Speaker 3>off the last full trading week of the year, our investors.

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<v Speaker 2>Doubling down or bracing for a pop.

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<v Speaker 3>We discuss plus big deals in big tech with Service

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<v Speaker 3>Now and Intel in advanced talks to spend billions on startups,

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<v Speaker 3>and as stable coin Giant wants a soccer team, why

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<v Speaker 3>Teather is bidding more than a billion for Italy's Juventus.

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<v Speaker 2>But first a check in on these markets. We want

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<v Speaker 2>to talk soccer, but we're talking what the markets are

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<v Speaker 2>up to.

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<v Speaker 3>Under pressure by a quarter of percent on the Nasdaq

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<v Speaker 3>one hundred is you'll see, we're off of our lows

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<v Speaker 3>of the day, but still in the last full training

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<v Speaker 3>week ahead of the end of the year. Are people

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<v Speaker 3>taking some risk off the table? They're certainly taking risk off.

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<v Speaker 3>In the crypto space, we're down sub ninety thousand once again,

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<v Speaker 3>eighty nine and twenty four or off by another couple

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<v Speaker 3>of percentage points after a downdraft over the course of

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<v Speaker 3>the weekend. So the moon music again speaking to AI anxiety,

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<v Speaker 3>speaking to some nervousness.

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<v Speaker 2>Around valuation is today's picture. But take a look at

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<v Speaker 2>some of the individual names. Service Now is off by

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<v Speaker 2>more than ten percent.

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<v Speaker 3>Is maybe we still see companies spending in terms of

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<v Speaker 3>M and A. There is service Now potentially in talks

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<v Speaker 3>to buy cybersecurity Unicorn armists being reported over the course

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<v Speaker 3>of the weekend could valuate about.

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<v Speaker 2>Seven billion dollars.

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<v Speaker 3>That would be the biggest ever deal for Service Now

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<v Speaker 3>if these reports come true from Bloomberg, and indeed we

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<v Speaker 3>could see it just delving ever more deeply into cybersecurity.

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<v Speaker 3>Intel off by five ten percent as it too is

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<v Speaker 3>in advanced talks. We understand to buy an AI chip

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<v Speaker 3>start up that's sam Manova Systems for about one point

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<v Speaker 3>six billion dollars and.

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<v Speaker 2>Tesla avan record high.

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<v Speaker 3>Will we close this day at the first record for

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<v Speaker 3>Tesla since December twenty twenty four. The catalysts, well, we're

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<v Speaker 3>bush going more overweight on the stop once again. But

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<v Speaker 3>other than that, no clear fundamental driver that is what

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<v Speaker 3>we're looking at on the day. Let's look at just

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<v Speaker 3>the course of Chatchipat and since twenty twenty two, I

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<v Speaker 3>want to show you the growth of the nazdat one

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<v Speaker 3>hundred phenomenal up more than one hundred percentage points. It's

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<v Speaker 3>more than doubled, of course, but doubts about the AI trade.

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<v Speaker 2>They're starting to grow too.

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<v Speaker 3>Now. Bluebgg's market reporter Randalstelica could set us up for

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<v Speaker 3>what the end of this week, Anxiety is saying about

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<v Speaker 3>the belief in this one hundred percent rallies. It's November

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<v Speaker 3>twenty twenty two. Is it's Chatchybaut first burst onto the scene? Ryan,

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<v Speaker 3>We are having yet more and more concerns about the

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<v Speaker 3>valuations of the run up in certain companies.

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<v Speaker 4>Hey, good morning, thanks for having me so. Yeah, a

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<v Speaker 4>lot of these concerns have been just sort of percolating

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<v Speaker 4>throughout the mark and every so often we'll see them

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<v Speaker 4>sort of, you know, e merge and we come go

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<v Speaker 4>to the forefront.

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<v Speaker 5>That is sort of what we're seeing right now.

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<v Speaker 4>It does seem like there is a lot more skeptics,

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<v Speaker 4>as a lot more caution about valuations, about growth prospects,

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<v Speaker 4>about when we are going to start seeing a more

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<v Speaker 4>pronounced return on all of this AI spending, and maybe

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<v Speaker 4>just because it's sort of like the end of the

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<v Speaker 4>year people are looking to close out their books. Maybe

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<v Speaker 4>people are taking a reassessment right now of all the

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<v Speaker 4>big games that we've seen in a number of AI

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<v Speaker 4>stocks and just sort of considering where they might be

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<v Speaker 4>going in twenty twenty six.

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<v Speaker 3>I mean, there really is some of the most read

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<v Speaker 3>stories throughout the course of the weekend, and indeed on

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<v Speaker 3>this day is the one that Wall Street sees AI

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<v Speaker 3>bubble coming and is betting on when it pops, if

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<v Speaker 3>indeed it does. The eye of the storm of in

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<v Speaker 3>companies like Oracle, even in Video, which has been the

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<v Speaker 3>pin up for this year and still remains so in

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<v Speaker 3>terms of a twelve month training basis, but of late

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<v Speaker 3>has taken a hit to market capitalization. Are there any

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<v Speaker 3>particular areas that we're seeing the most pain right well.

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<v Speaker 4>One interesting theme that we wrote about I think about

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<v Speaker 4>a week ago is sort of a consolation of stocks

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<v Speaker 4>that are more associated with open ai as opposed to

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<v Speaker 4>the ones that are more associated with alphabet And for

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<v Speaker 4>much of this year, any company connected with open ai

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<v Speaker 4>saw pretty strong stock gains. A lot of companies rallied

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<v Speaker 4>when they would announce deals with the company with the startup,

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<v Speaker 4>and now we are really seeing that reverse. There's a

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<v Speaker 4>lot more skepticism about is open ai going to be

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<v Speaker 4>able to grow fast enough in order to meet all

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<v Speaker 4>of these sort of deals and obligations that it's announced.

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<v Speaker 4>As skepticism around that has grown, you have seen companies

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<v Speaker 4>connected to open ai stort to really come under pretty

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<v Speaker 4>pronounced weakness. You mentioned Oracle, but also in the sense Microsoft, Nvidia,

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<v Speaker 4>Core Weave, companies like this, Whereas companies that are more

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<v Speaker 4>connected to Alphabet and Jim and I, which is currently

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<v Speaker 4>seen as sort of the stronger AI play, those companies

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<v Speaker 4>have been doing, you know, continuing to hold up in

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<v Speaker 4>a lot better fashion.

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<v Speaker 3>Ron Vastedika, You're continuing to write upon all of these

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<v Speaker 3>themes as we.

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<v Speaker 2>Tie up twenty twenty five. Fantastic to have you kick

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<v Speaker 2>off the show. We thank you. Let's keep this discussion going.

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<v Speaker 3>Let's delve a little bit deeper into the signals in

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<v Speaker 3>the economy what that's doing in terms of trickling into business.

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<v Speaker 3>Nothing Gallagher's with us principal economists and director at Board. Now,

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<v Speaker 3>that's an aipowered enterprise planning platform. You provide macro analysis.

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<v Speaker 3>You provide strategic guidance to global companies on business investment,

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<v Speaker 3>on economic policy. And what's really interesting is you're sort

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<v Speaker 3>of telling us and pointing towards your expertise, showing that

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<v Speaker 3>twenty twenty six is really going to be a prove

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<v Speaker 3>to me moment.

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<v Speaker 2>Right.

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<v Speaker 3>For twenty twenty five, it's been about picks and shovels

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<v Speaker 3>and infrastructure. Twenty twenty six, we need the economic upside,

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<v Speaker 3>We need the productivity gains.

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<v Speaker 6>Yeah, absolutely, I mean so far right, we've had really

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<v Speaker 6>broad based adoption of AI, about fifty five percent of

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<v Speaker 6>American workers, for example, say that they're utilizing AI. We

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<v Speaker 6>haven't seen it translate into the productivity numbers, right, And

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<v Speaker 6>this isn't just with the government data. It's also with

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<v Speaker 6>private studies as well, in university studies as well. So

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<v Speaker 6>as we get into twenty twenty six, to really validate

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<v Speaker 6>the underlying fundamentals, we're not only going to have to

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<v Speaker 6>see that breadth, we're going to have to see really

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<v Speaker 6>meaningful depth of adoption as well.

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<v Speaker 3>Natalie, When you're pouring over the data, what is the

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<v Speaker 3>data that we're going to need? Is it going to

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<v Speaker 3>be the earnings of healthcare companies in financial institutions that

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<v Speaker 3>actually start to see margin improvement because of AI adoption.

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<v Speaker 2>How do you get that? Tell?

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<v Speaker 7>Yeah?

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<v Speaker 6>Absolutely, I mean the first place we'll probably see it

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<v Speaker 6>as in earnings release, right, The government data often lags behind.

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<v Speaker 6>You know, We've seen a lot of earnings releases where

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<v Speaker 6>CEOs have said, hey, we're utilizing AI. We're seeing these

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<v Speaker 6>productivity gains. At the same time, we're not seeing them

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<v Speaker 6>show up in as meaningfully as a way as we're

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<v Speaker 6>going to need to really justify the valuations that are

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<v Speaker 6>out there, really confirm right that we are seeing that

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<v Speaker 6>productivity growth or that return on the transformational promise of AI.

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<v Speaker 3>What we have seen show up is the AI investment

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<v Speaker 3>numbers driving GDP figures. Many would say that basically twenty

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<v Speaker 3>twenty five's economic growth entirely hinges on a few big

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<v Speaker 3>names in tech making some extraordinary big investment plans. How

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<v Speaker 3>wide could the economic shakeout be if indeed we did

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<v Speaker 3>see a pullback and a questioning of productivity.

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<v Speaker 6>Yeah, I mean it could be really significant, right, twenty

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<v Speaker 6>twenty five AI spending, CAVIX spending, it's really served as

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<v Speaker 6>a macroeconomic stabilizer a macroacademic anchor, even as we've seen

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<v Speaker 6>other parts of the economy really meaningfully stagnate. Right, It's

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<v Speaker 6>really been this promise that's continued to lead growth to

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<v Speaker 6>not only deliver but really surpass expectations in twenty twenty five.

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<v Speaker 6>And that's definitely true, right, it continues to be an

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<v Speaker 6>anchor in twenty twenty six. So if we see a meaningful,

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<v Speaker 6>meaningful pullback, if we see AI not deliver and sort

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<v Speaker 6>of that translate or cascade through the economy, I mean,

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<v Speaker 6>the economic implications are really really broad based. Well, outside

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<v Speaker 6>of tech, how.

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<v Speaker 3>Broad based do you think the economic implications have been

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<v Speaker 3>of China and US and this technology war? Really we're

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<v Speaker 3>seeing at the heart of it, how much has that

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<v Speaker 3>implicated US businesses?

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<v Speaker 2>And in the longer term do you.

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<v Speaker 6>Think it's been fascinating?

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<v Speaker 8>Right?

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<v Speaker 6>Because US businesses, even with sort of this this headwind

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<v Speaker 6>of overall trade uncertainty back and forth with China, they've

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<v Speaker 6>really continued to deliver.

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<v Speaker 7>And so that's really positive to see.

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<v Speaker 5>You know.

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<v Speaker 6>On the other hand, right, if we do get more

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<v Speaker 6>and more to coupling with China, the economic implications are also.

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<v Speaker 7>Broad based there as well.

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<v Speaker 6>We have a reduction in revenue translates to a reduction

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<v Speaker 6>in R and D, and so of course the economic

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<v Speaker 6>implications based on what direction we take can be. They

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<v Speaker 6>can be quite extensive. Now, at the same time, if

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<v Speaker 6>it leads to sort of a benefit when we look

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<v Speaker 6>at the competition dynamics, then maybe it's a little bit

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<v Speaker 6>of a win win for the US.

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<v Speaker 3>What's interesting is while we've got perhaps a questioning of

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<v Speaker 3>valuations in the market, some still manage to rise on

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<v Speaker 3>absolutely no fundamentals at all. And Tesro is currently maybe

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<v Speaker 3>closing in yet new record high.

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<v Speaker 2>The first one is be seen since December twenty to

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<v Speaker 2>twenty four.

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<v Speaker 3>Now, maybe that's a bit of moon music coming from

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<v Speaker 3>an extraordinary valuation being given to the private company that

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<v Speaker 3>is Space Sex elsewhere in Ela Musk's realm, Natalie, what

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<v Speaker 3>you think about some of the froth in the area

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<v Speaker 3>is particularly in the private area.

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<v Speaker 7>It's been really interesting to see.

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<v Speaker 6>Right, whenever you know, as an economist, what I look like,

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<v Speaker 6>what I look at is cashields, right, and whenever we

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<v Speaker 6>end a rate cut cycle, or you know, debatably end

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<v Speaker 6>a rate cut cycle like we are right now, cashields

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<v Speaker 6>become less attractive. And what we need to really carefully

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<v Speaker 6>watch is are we seeing meaningful investment in actual infrastructure

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<v Speaker 6>and that's what's really driving these these extremely high elevated.

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<v Speaker 7>Excuse me, these elevated.

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<v Speaker 6>Valuations, or are we seeing investors go towards alternative investments

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<v Speaker 6>because cashields are quite quite impacted, and so we're going

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<v Speaker 6>to really need to see these valuations be meaningful, right,

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<v Speaker 6>We're gonna need to see that the proof is in.

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<v Speaker 2>The pudding that it is worth eight hundred billion dollars.

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<v Speaker 2>Natha Gallagher with the macro and the micro for us,

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<v Speaker 2>We so appreciate to principal economist at Board. Now coming up,

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<v Speaker 2>Juventus shares. Have you been watching them?

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<v Speaker 3>They are rallying after excell rejected and unsolicited takeover bid

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<v Speaker 3>from cryptogiant Tether bagg into that one plus Netflix makes

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<v Speaker 3>its case for Warner Brothers after Paramount, of course, goes

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<v Speaker 3>public with its own hostile offer. What did the co

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<v Speaker 3>CEOs manage to say? This is Bloomberg Tech shares of

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<v Speaker 3>Italian football club Juventus. You might call it a soccer club,

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<v Speaker 3>I call it football. When they jumped after crypto company

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<v Speaker 3>Tether made a take of a bid for one point

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<v Speaker 3>one billion euros about one point three billion dollars now.

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<v Speaker 3>The offer was swiftly rejected by the holding company of

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<v Speaker 3>the Agnelli family, which owns a controlling stake in what

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<v Speaker 3>is one of Italy's most.

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<v Speaker 2>Distinguished football clubs.

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<v Speaker 3>Let's kept more on all of There's a Brembag editor

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<v Speaker 3>in Milan, Tomaso ev Haart fascinating this family.

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<v Speaker 2>The Agnelly family.

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<v Speaker 3>Have held a controlling state for years in this team

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<v Speaker 3>and indeed earned Ferrari and other big auto sectors. But Tomaso,

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<v Speaker 3>what does Tether have in terms of its game plan.

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<v Speaker 9>It's a very fascinating story here from Italy, you know,

0:11:24.559 --> 0:11:29.760
<v Speaker 9>is like new money versus old money. Interesting enough, Tether

0:11:30.160 --> 0:11:34.680
<v Speaker 9>founders are originally from Turin, the city where you went

0:11:34.720 --> 0:11:37.920
<v Speaker 9>to was born and they support you went to, so

0:11:38.480 --> 0:11:41.959
<v Speaker 9>they started as a fan. And Ardoino, the Sea of

0:11:42.040 --> 0:11:44.200
<v Speaker 9>Tether told us in a interview a few months ago

0:11:44.280 --> 0:11:46.040
<v Speaker 9>that he has been a fan of You Wentus forever

0:11:46.679 --> 0:11:49.040
<v Speaker 9>and Tether both a ten percents taking You went to

0:11:49.040 --> 0:11:52.959
<v Speaker 9>a few months ago was the first football team where

0:11:52.960 --> 0:11:56.040
<v Speaker 9>a kip cryto a company in both a significant state.

0:11:56.120 --> 0:11:59.320
<v Speaker 9>They also have a board seat in a U went

0:11:59.400 --> 0:12:03.000
<v Speaker 9>to and how they arrive with the bid Friday night

0:12:04.040 --> 0:12:08.760
<v Speaker 9>for the controlling mistake to the Annually family, italy most

0:12:08.760 --> 0:12:12.079
<v Speaker 9>important industrial plan. But the Elli family said no, no, no,

0:12:12.080 --> 0:12:14.360
<v Speaker 9>no way. We're not going to sell to Teta. We're

0:12:14.400 --> 0:12:18.240
<v Speaker 9>not going to sell to anyone. Juventus. They've had Juventus

0:12:18.480 --> 0:12:22.960
<v Speaker 9>far over a century. So so far no news but

0:12:23.200 --> 0:12:26.880
<v Speaker 9>shares move. They didn't get up to the level of

0:12:27.000 --> 0:12:30.199
<v Speaker 9>the price offered to the annially, but there was more

0:12:30.240 --> 0:12:33.560
<v Speaker 9>than fourteen percent today in the in the Italian market

0:12:33.679 --> 0:12:36.680
<v Speaker 9>in a very difficult moment on the pitch for Juventus.

0:12:37.040 --> 0:12:38.720
<v Speaker 9>They're not doing that greater this year.

0:12:39.960 --> 0:12:40.160
<v Speaker 7>Yeah.

0:12:40.280 --> 0:12:43.400
<v Speaker 3>Is that the argument coming from these lifelong fans that

0:12:43.559 --> 0:12:47.199
<v Speaker 3>tether that they could in some way manage the business

0:12:47.320 --> 0:12:48.840
<v Speaker 3>of football or soccer better.

0:12:51.240 --> 0:12:53.480
<v Speaker 9>That's a good question. For sure. They have a lot

0:12:53.520 --> 0:12:57.360
<v Speaker 9>of cash and in the bid they said we're also

0:12:57.559 --> 0:13:02.479
<v Speaker 9>we're also ready to invest one bid euros in a Juventus.

0:13:02.760 --> 0:13:06.920
<v Speaker 9>But this is not enough for the Annealist. Saturday afternoon,

0:13:07.000 --> 0:13:09.440
<v Speaker 9>John Elkin made the video. John Elka is the leader

0:13:09.480 --> 0:13:13.440
<v Speaker 9>of the Anneally family nowadays, made the video online say

0:13:14.000 --> 0:13:16.719
<v Speaker 9>you know, we have defended the Juventus value for over

0:13:16.760 --> 0:13:19.920
<v Speaker 9>a century. We want to stay close to Juventus. We've

0:13:19.960 --> 0:13:22.960
<v Speaker 9>been with Juventus in the bed and in the good

0:13:23.000 --> 0:13:27.200
<v Speaker 9>times and will stick with the data. Interesting enough, is

0:13:27.240 --> 0:13:30.760
<v Speaker 9>a very delicate and sensitive moment for the Anially family.

0:13:30.800 --> 0:13:34.559
<v Speaker 9>Why because they are reshaping their portfolio. You know, they're

0:13:34.600 --> 0:13:37.520
<v Speaker 9>the biggest investor in the Lantes. The automotive industry is

0:13:37.559 --> 0:13:42.439
<v Speaker 9>facing a disruptive moment generally have sold some assets recently,

0:13:42.840 --> 0:13:47.280
<v Speaker 9>including their truck company Iveko to Tata in India. They

0:13:47.320 --> 0:13:49.560
<v Speaker 9>are now in talks to sell the media asset in

0:13:49.600 --> 0:13:52.679
<v Speaker 9>Italy to a Greek company. So there's a lot of

0:13:52.760 --> 0:13:56.000
<v Speaker 9>interest and also a lot of political debate on what

0:13:56.040 --> 0:13:59.520
<v Speaker 9>the Annually families are doing with their Italian holdings.

0:14:00.880 --> 0:14:03.720
<v Speaker 3>Yes, some pushback against Greece's Antenna Group for wanting to

0:14:03.760 --> 0:14:04.840
<v Speaker 3>have that Italian asset.

0:14:04.920 --> 0:14:07.800
<v Speaker 2>Meanwhile, Tedther's been investing in plenty of Italian assets.

0:14:07.840 --> 0:14:10.319
<v Speaker 3>It looks like more across the board, whether it's genomics

0:14:10.360 --> 0:14:13.880
<v Speaker 3>companies or even in media companies as well. Tomaso is

0:14:13.920 --> 0:14:16.200
<v Speaker 3>so great catching up with the Snaks, staying a little

0:14:16.200 --> 0:14:19.160
<v Speaker 3>bit late in Italy. Tomaso Ebhart there from Milan. Look,

0:14:19.200 --> 0:14:22.000
<v Speaker 3>let's pivot into a different world of entertainment now. The

0:14:22.080 --> 0:14:24.880
<v Speaker 3>co CEOs of Netflix, they've been making their case for

0:14:24.920 --> 0:14:28.680
<v Speaker 3>requiring Warner Brothers Discovery to their own employees. Let's get

0:14:28.720 --> 0:14:31.720
<v Speaker 3>the latest with Bloomberg's entertainment editor Lucas Shaw, who's been

0:14:31.720 --> 0:14:34.800
<v Speaker 3>across this M and A story that is just fueling

0:14:34.920 --> 0:14:38.200
<v Speaker 3>everyone's attention in Hollywood at the moment. So what is

0:14:38.240 --> 0:14:40.240
<v Speaker 3>it that the co CEOs can put across their employees

0:14:40.280 --> 0:14:41.520
<v Speaker 3>to calm their own nerves.

0:14:42.640 --> 0:14:45.880
<v Speaker 10>It was a Q and A of sort. They first

0:14:45.880 --> 0:14:48.680
<v Speaker 10>of all stated they're the rationale for doing the deal,

0:14:49.120 --> 0:14:51.680
<v Speaker 10>and then tried to address some of the five, six,

0:14:51.800 --> 0:14:54.040
<v Speaker 10>seven biggest questions that there are out there. You know,

0:14:54.160 --> 0:14:56.080
<v Speaker 10>is this going to kill Hollywood? What do they think

0:14:56.120 --> 0:14:58.360
<v Speaker 10>of the paramount hostile bid? Do they actually think they

0:14:58.400 --> 0:15:01.520
<v Speaker 10>can get this deal approved? And the kind of the

0:15:01.520 --> 0:15:04.200
<v Speaker 10>big one about movie theaters. It was as much for

0:15:04.680 --> 0:15:06.760
<v Speaker 10>the public, I think as employees. You know, they put

0:15:06.760 --> 0:15:08.960
<v Speaker 10>it in a filing so that the world could see it.

0:15:09.000 --> 0:15:11.880
<v Speaker 10>They've obviously been keeping their employees apprize to the best

0:15:12.120 --> 0:15:14.240
<v Speaker 10>of their ability over the last couple of weeks, and

0:15:14.600 --> 0:15:16.520
<v Speaker 10>the ones I've spoken with have said it's been pretty

0:15:16.560 --> 0:15:17.720
<v Speaker 10>status quo at the company.

0:15:19.200 --> 0:15:21.680
<v Speaker 3>Meanwhile, of course, what we'll wait for In the entertainment

0:15:21.680 --> 0:15:24.920
<v Speaker 3>world on a Sunday is your note to drop of

0:15:25.080 --> 0:15:28.040
<v Speaker 3>screen Time and lucas you've been writing in particular about

0:15:28.480 --> 0:15:31.560
<v Speaker 3>amid all of this fury about concern about consolidation in

0:15:31.560 --> 0:15:34.880
<v Speaker 3>the sector, is also AI, which is looming large in

0:15:35.000 --> 0:15:37.480
<v Speaker 3>many executive's head and employees.

0:15:37.560 --> 0:15:39.280
<v Speaker 2>What do you make of the AI threat right now?

0:15:40.120 --> 0:15:44.600
<v Speaker 10>Well, Hollywood is is very conflicted, you know. You see

0:15:44.600 --> 0:15:47.760
<v Speaker 10>certain filmmakers come out and say I've interviewed a couple

0:15:47.840 --> 0:15:50.680
<v Speaker 10>of them and say it's the future. We might as

0:15:50.680 --> 0:15:53.200
<v Speaker 10>well figure out how to use it and integrate it

0:15:53.240 --> 0:15:56.040
<v Speaker 10>into our workflow. And then there are others like Germo

0:15:56.080 --> 0:15:59.920
<v Speaker 10>del Toro and Ryan Johnson who basically said they'd rather

0:16:00.640 --> 0:16:02.560
<v Speaker 10>than use AI or that they will do anything that

0:16:02.560 --> 0:16:04.960
<v Speaker 10>they can to stop it. You saw a very strong

0:16:05.040 --> 0:16:08.160
<v Speaker 10>negative reaction last week when Disney announced a deal with

0:16:08.160 --> 0:16:10.120
<v Speaker 10>Open Ai, where a lot of the unions and a

0:16:10.120 --> 0:16:12.680
<v Speaker 10>lot of workers wondered what the company was doing.

0:16:14.760 --> 0:16:16.600
<v Speaker 2>Well reading it with interest.

0:16:16.680 --> 0:16:19.200
<v Speaker 3>It's also featured in Business Weeks the Year Ahead for

0:16:19.200 --> 0:16:21.280
<v Speaker 3>twenty twenty six. Go look at it. Grapple with the

0:16:21.320 --> 0:16:24.840
<v Speaker 3>future of Hollywood. All Things AI from Lucashaw thank you

0:16:24.920 --> 0:16:26.840
<v Speaker 3>very much for keeping us up to speed. Meanwhile, President

0:16:26.920 --> 0:16:30.000
<v Speaker 3>Donald Trump's knew one hundred thousand dollars fee on h

0:16:30.040 --> 0:16:32.840
<v Speaker 3>one b hires and it's set to deliver the biggest

0:16:32.840 --> 0:16:36.240
<v Speaker 3>blow to it outsourcing and staffing companies. According to analysis

0:16:36.240 --> 0:16:40.880
<v Speaker 3>done by Bloomberg, businesses like Tutter, Consultancy Services, and Emphasis,

0:16:41.040 --> 0:16:43.560
<v Speaker 3>they're likely to be hit harder than say US tech

0:16:43.560 --> 0:16:47.120
<v Speaker 3>giants like Amazon and Google, but still all impacted. Let's

0:16:47.120 --> 0:16:49.680
<v Speaker 3>dig into the broader impact with Hibbert Anvia. She is

0:16:49.800 --> 0:16:52.680
<v Speaker 3>a partner at ericson Immigration Group, working around the clock

0:16:52.760 --> 0:16:55.400
<v Speaker 3>on issues such as this. I'm sure, and the context

0:16:55.560 --> 0:16:59.400
<v Speaker 3>is companies that take the financial hit, but also state

0:16:59.520 --> 0:17:01.360
<v Speaker 3>that tried to push back on it. And the latest

0:17:01.400 --> 0:17:04.200
<v Speaker 3>is that we understand a group of states are actually

0:17:04.400 --> 0:17:07.959
<v Speaker 3>suing to block this in particular. Do you think that

0:17:07.960 --> 0:17:09.399
<v Speaker 3>that's going to gain any traction.

0:17:11.320 --> 0:17:13.480
<v Speaker 11>I do think that it's going to gain traction because

0:17:13.520 --> 0:17:16.080
<v Speaker 11>what the states are doing that's different than some of

0:17:16.080 --> 0:17:19.640
<v Speaker 11>the lawsuits that have already been filed is they're making

0:17:20.280 --> 0:17:24.320
<v Speaker 11>a legal argument based on their specific state economies, which

0:17:24.359 --> 0:17:26.440
<v Speaker 11>I think is a really important argument because it goes

0:17:26.480 --> 0:17:29.879
<v Speaker 11>directly against the claim that a lot of opponents to

0:17:29.880 --> 0:17:31.840
<v Speaker 11>the H one B visa have that the H one

0:17:31.880 --> 0:17:35.000
<v Speaker 11>B visa is actually harmful for the US economy. The

0:17:35.080 --> 0:17:37.920
<v Speaker 11>lawsuit that was filed by California and the nineteen additional

0:17:37.960 --> 0:17:41.400
<v Speaker 11>states essentially argues that this one hundred thousand dollars fee

0:17:41.440 --> 0:17:44.760
<v Speaker 11>is going to worsen labor shortages within other important sectors

0:17:45.160 --> 0:17:47.959
<v Speaker 11>that exist within the state economy by making it more

0:17:47.960 --> 0:17:52.159
<v Speaker 11>difficult to fill spots for occupations that are already experiencing shortages,

0:17:52.440 --> 0:17:56.240
<v Speaker 11>such as physicians or researchers or teachers nurses, for example.

0:17:56.560 --> 0:17:58.800
<v Speaker 11>And so I think that this lawsuit puts states in

0:17:58.840 --> 0:18:01.800
<v Speaker 11>a position where they can actually show harm in a

0:18:01.840 --> 0:18:04.280
<v Speaker 11>way that's more effective than some of the lawsuits that

0:18:04.280 --> 0:18:05.199
<v Speaker 11>have already been filed.

0:18:06.840 --> 0:18:11.640
<v Speaker 3>Their argument is that no presidential administration can rewrite immigration law.

0:18:11.600 --> 0:18:12.320
<v Speaker 2>Is what they're taking.

0:18:12.359 --> 0:18:14.320
<v Speaker 3>And I think it's the third challenge at least that

0:18:14.320 --> 0:18:17.399
<v Speaker 3>we've seen to this particular fee increase. But on the

0:18:17.400 --> 0:18:20.560
<v Speaker 3>flip side, the president and the administration would say we

0:18:20.640 --> 0:18:22.919
<v Speaker 3>need this fee because H one B is being abused.

0:18:23.320 --> 0:18:25.880
<v Speaker 2>What evidence is there for that? From your perspective, hire.

0:18:27.000 --> 0:18:29.320
<v Speaker 11>I think the more important evidence is when you take

0:18:29.320 --> 0:18:31.679
<v Speaker 11>a look at the H one B filing process in

0:18:31.720 --> 0:18:34.920
<v Speaker 11>and of itself, it actually has several checks and balances

0:18:34.920 --> 0:18:38.879
<v Speaker 11>that are already built in to ensure that the H

0:18:38.920 --> 0:18:41.359
<v Speaker 11>one B visa is not being abused or misused in

0:18:41.400 --> 0:18:44.960
<v Speaker 11>any way. And in particular, one of the core components

0:18:44.960 --> 0:18:47.040
<v Speaker 11>of filing an H one B visa is to be

0:18:47.080 --> 0:18:49.760
<v Speaker 11>able to demonstrate back to the government that the filing

0:18:49.800 --> 0:18:52.879
<v Speaker 11>of this visa is not going to displace a qualified

0:18:53.040 --> 0:18:55.800
<v Speaker 11>US worker. So I think that what's more important to

0:18:55.800 --> 0:18:58.640
<v Speaker 11>focus on are the checks and balances and the safeguards

0:18:58.640 --> 0:19:01.080
<v Speaker 11>that are already in place for the HI visa to

0:19:01.200 --> 0:19:06.639
<v Speaker 11>prevent the fraud and misuse, because the highly restrictive policies

0:19:07.119 --> 0:19:09.679
<v Speaker 11>for folks that are actually proponents of the AGE one

0:19:09.800 --> 0:19:13.000
<v Speaker 11>V visa create a new category of risk, which is

0:19:13.040 --> 0:19:16.440
<v Speaker 11>that this is actually going to hamper and diminish the

0:19:16.680 --> 0:19:20.399
<v Speaker 11>American innovation and the US companies leading the charge on

0:19:20.440 --> 0:19:21.200
<v Speaker 11>global innovation.

0:19:22.720 --> 0:19:25.719
<v Speaker 3>Now we take it to another extreme, and what's interesting

0:19:25.760 --> 0:19:29.159
<v Speaker 3>is there's actually blowback not coming from Democrat states who

0:19:29.160 --> 0:19:33.520
<v Speaker 3>are suing, but actually conservative lawmakers who are saying that

0:19:33.600 --> 0:19:37.960
<v Speaker 3>in some ways Trump is supporting yet more legal migration

0:19:38.640 --> 0:19:41.879
<v Speaker 3>and immigration into the country. They're criticizing President Trump for

0:19:41.880 --> 0:19:45.240
<v Speaker 3>supporting more visas in particular to allow the entry of.

0:19:45.520 --> 0:19:47.200
<v Speaker 2>High skilled foreign workers.

0:19:47.760 --> 0:19:52.040
<v Speaker 3>Is there any mounting fervor around this that you're hearing

0:19:52.080 --> 0:19:54.960
<v Speaker 3>him or something that companies are worried about that names

0:19:55.040 --> 0:19:58.639
<v Speaker 3>like Republican Chip Roy would actually manage to prevent legal

0:19:58.680 --> 0:20:00.000
<v Speaker 3>immigration at this time.

0:20:01.359 --> 0:20:03.800
<v Speaker 11>I think, you know, I think that the concern in

0:20:03.840 --> 0:20:06.919
<v Speaker 11>the industry is more so based on the data. I

0:20:06.920 --> 0:20:10.399
<v Speaker 11>think that we're far out enough from the beginning of

0:20:10.400 --> 0:20:12.560
<v Speaker 11>the year to be able to actually measure the data

0:20:12.600 --> 0:20:15.360
<v Speaker 11>in an effective way. And I think that what we're

0:20:15.359 --> 0:20:18.359
<v Speaker 11>starting to see is US companies starting to grapple with

0:20:18.400 --> 0:20:21.640
<v Speaker 11>the decision about whether they want to continue to invest

0:20:21.760 --> 0:20:24.679
<v Speaker 11>in other countries where the talent, the high skilled workers

0:20:24.720 --> 0:20:29.560
<v Speaker 11>in particular, are more inclined to go as opposed to,

0:20:29.800 --> 0:20:32.719
<v Speaker 11>you know, the talent that may be a little bit

0:20:32.720 --> 0:20:35.160
<v Speaker 11>more concerned about staying here in the US. So said

0:20:35.200 --> 0:20:37.520
<v Speaker 11>another way, I think the concern in the industry is

0:20:37.600 --> 0:20:40.479
<v Speaker 11>whether some of these larger companies are going to choose

0:20:40.560 --> 0:20:44.760
<v Speaker 11>to offshore, for example. And another really important component of

0:20:44.800 --> 0:20:47.080
<v Speaker 11>this is a lot of the folks in the industry

0:20:47.080 --> 0:20:51.159
<v Speaker 11>are actually specifically watching how other countries are responding to

0:20:51.200 --> 0:20:55.240
<v Speaker 11>some of these more restrictive immigration policies, you know, namely,

0:20:55.800 --> 0:20:58.800
<v Speaker 11>you know, China and Canada being some top examples. And

0:20:58.920 --> 0:21:02.080
<v Speaker 11>for example, you know, Kina recently released the Cavisa for

0:21:02.119 --> 0:21:06.000
<v Speaker 11>Global Tech Talent, which is specifically aimed at attracting international

0:21:06.040 --> 0:21:09.239
<v Speaker 11>tech workers, and that was done in direct response to

0:21:09.400 --> 0:21:12.399
<v Speaker 11>the US tightening its immigration policies and this new hundred

0:21:12.400 --> 0:21:15.240
<v Speaker 11>thousand dollars fee. So what I think the concern is

0:21:15.280 --> 0:21:17.800
<v Speaker 11>here is whether the talent is going to be incentivized

0:21:17.840 --> 0:21:22.040
<v Speaker 11>to choose another country, whether other countries are going to

0:21:22.080 --> 0:21:25.960
<v Speaker 11>be more inclined to have more open immigration policies in

0:21:26.000 --> 0:21:29.359
<v Speaker 11>an effort to try to attract that high skilled talent,

0:21:29.640 --> 0:21:32.679
<v Speaker 11>and what that eventually means for the global success of

0:21:32.800 --> 0:21:33.600
<v Speaker 11>US companies.

0:21:34.960 --> 0:21:37.360
<v Speaker 3>We got thirty seconds. Is it big companies that hurt

0:21:37.359 --> 0:21:38.920
<v Speaker 3>the most Tehiba or is it smaller ones?

0:21:40.280 --> 0:21:43.359
<v Speaker 11>So it's usually the larger tech companies in particular that

0:21:43.440 --> 0:21:46.360
<v Speaker 11>garner the most attention. But you know, it's also important

0:21:46.359 --> 0:21:49.280
<v Speaker 11>to point out that when it came to first time

0:21:49.840 --> 0:21:52.760
<v Speaker 11>H one B visa petitions for employment in fiscal year

0:21:52.800 --> 0:21:56.239
<v Speaker 11>twenty twenty five, over twenty eight thousand companies filed at

0:21:56.280 --> 0:21:59.159
<v Speaker 11>least one, and so what that data implies is that

0:21:59.200 --> 0:22:01.560
<v Speaker 11>the companies that are benefitting from H and D visas

0:22:01.560 --> 0:22:05.000
<v Speaker 11>are actually, you know, very diverse in terms of profile.

0:22:05.160 --> 0:22:07.320
<v Speaker 2>Leave it there hither, We thank you very much, hibbah

0:22:07.320 --> 0:22:10.320
<v Speaker 2>Anva from Erics and Immigration. But let's talk more broadly

0:22:10.359 --> 0:22:13.320
<v Speaker 2>about the world of technology and how it's implicated by

0:22:13.640 --> 0:22:14.679
<v Speaker 2>well geopolitics.

0:22:14.800 --> 0:22:17.800
<v Speaker 3>China, in fact, has just started to grant licenses with

0:22:17.960 --> 0:22:22.000
<v Speaker 3>lengthier terms that would allow European companies to obtain critical

0:22:22.080 --> 0:22:26.320
<v Speaker 3>rare earths. That's what according to eutop trade official Maroszebkovic.

0:22:26.600 --> 0:22:29.440
<v Speaker 3>Blimog's Oliver Crook sat down with him earlier today.

0:22:29.520 --> 0:22:30.080
<v Speaker 2>Just take a listen.

0:22:31.080 --> 0:22:34.119
<v Speaker 12>I think we are getting initial reports from our industry

0:22:34.200 --> 0:22:37.000
<v Speaker 12>that they are getting these general licenses, but we need

0:22:37.040 --> 0:22:43.280
<v Speaker 12>to have a little bit more granual information to evaluid

0:22:43.280 --> 0:22:46.719
<v Speaker 12>the whole process. But the fact that this idea was

0:22:47.440 --> 0:22:50.600
<v Speaker 12>favorably received, that it seems that we are getting first

0:22:50.600 --> 0:22:55.160
<v Speaker 12>general licenses, and also that the Chinese side was receptive

0:22:55.200 --> 0:22:57.399
<v Speaker 12>to our arguments that the processes it was set up

0:22:57.440 --> 0:23:01.760
<v Speaker 12>in April it required too much of what's a very

0:23:01.760 --> 0:23:05.480
<v Speaker 12>intrusive information, too many photographs, too much detail about the

0:23:05.480 --> 0:23:10.240
<v Speaker 12>supply chains, and I think that the general licensing could

0:23:10.280 --> 0:23:12.679
<v Speaker 12>be could be one of the solutions out to address

0:23:12.720 --> 0:23:13.240
<v Speaker 12>this issue.

0:23:14.560 --> 0:23:17.159
<v Speaker 3>What does this mean about global access to rare We

0:23:17.160 --> 0:23:19.840
<v Speaker 3>can talk about that with Bloomberg Senior Tech editor Mike Shephard,

0:23:19.840 --> 0:23:22.760
<v Speaker 3>because this is a fascinating read. Across to the US,

0:23:22.960 --> 0:23:26.480
<v Speaker 3>Brussels had been really worried about a choke point bottlenecks

0:23:26.480 --> 0:23:30.120
<v Speaker 3>brewing that would implicate to such a degree vital industries

0:23:30.119 --> 0:23:33.560
<v Speaker 3>the German carmakers. But similarly those choke points and bottlenecks

0:23:33.680 --> 0:23:34.760
<v Speaker 3>here in the United States too.

0:23:36.000 --> 0:23:38.960
<v Speaker 13>Well, that's right, Carol. There are so few points of

0:23:39.040 --> 0:23:42.359
<v Speaker 13>common ground when it comes to trade for the EU

0:23:42.720 --> 0:23:45.960
<v Speaker 13>and the US these days. But access to rare earth

0:23:46.119 --> 0:23:49.480
<v Speaker 13>actually happens to be an area where they share this concern.

0:23:49.840 --> 0:23:52.640
<v Speaker 13>And that is because each side they see their companies

0:23:52.680 --> 0:23:56.440
<v Speaker 13>their economies so dependent on China for access to these

0:23:56.440 --> 0:23:59.840
<v Speaker 13>critical inputs to all sorts of technology. It is not

0:24:00.160 --> 0:24:02.320
<v Speaker 13>just the advanced tech that we talk about so much

0:24:02.400 --> 0:24:05.400
<v Speaker 13>on this program, semiconductors and other things. It also goes

0:24:05.440 --> 0:24:09.879
<v Speaker 13>into defense equipment, into automobiles, into solar arrays, really into

0:24:09.920 --> 0:24:12.960
<v Speaker 13>a little bit of everything. And China owns the lion's

0:24:12.960 --> 0:24:16.720
<v Speaker 13>share of not only the deposits, but also the refining

0:24:16.720 --> 0:24:19.760
<v Speaker 13>and production of it. So for the EU to say

0:24:19.800 --> 0:24:22.440
<v Speaker 13>that it is seeing some glimmers of hope in being

0:24:22.440 --> 0:24:26.000
<v Speaker 13>able to access these rare earths on a wider basis

0:24:26.200 --> 0:24:30.600
<v Speaker 13>signals perhaps some progress Caro in this year long, nearly

0:24:30.720 --> 0:24:34.800
<v Speaker 13>year long fight with China over access to these critical minerals.

0:24:35.840 --> 0:24:38.679
<v Speaker 3>Bring us up to speed on that fight and the

0:24:38.760 --> 0:24:40.560
<v Speaker 3>access because I think it was just last month in

0:24:40.600 --> 0:24:43.800
<v Speaker 3>November that President Trump and Chigenpeng came to some agreement

0:24:43.880 --> 0:24:47.640
<v Speaker 3>around access to Rara metals and materials. But they're still

0:24:47.880 --> 0:24:50.680
<v Speaker 3>dependent on this April licensing agreement.

0:24:50.320 --> 0:24:55.439
<v Speaker 13>Right well, absolutely, And what we're hearing from Ariseefkovich is

0:24:55.480 --> 0:24:59.119
<v Speaker 13>that the Chinese may be more inclined to grant what

0:24:59.160 --> 0:25:01.960
<v Speaker 13>are called general licenses. And this is a keyword that

0:25:02.040 --> 0:25:05.240
<v Speaker 13>he used in that interview. It's not just a license

0:25:05.240 --> 0:25:09.760
<v Speaker 13>for a one time shipment of a critical mineral, let's

0:25:09.800 --> 0:25:13.960
<v Speaker 13>say gallium or something else used in night vision goggles

0:25:14.080 --> 0:25:17.159
<v Speaker 13>or something along those lines. It's a general license that

0:25:17.200 --> 0:25:20.760
<v Speaker 13>would allow for a longer period of time for repeated

0:25:20.800 --> 0:25:24.480
<v Speaker 13>shipments to pre approved buyers. And that would really speed

0:25:24.520 --> 0:25:28.320
<v Speaker 13>the plow for companies in the European Union and the US.

0:25:28.359 --> 0:25:30.520
<v Speaker 13>And this is what both sides have been agitating for

0:25:30.720 --> 0:25:33.119
<v Speaker 13>from China, and it's a key part of the trade

0:25:33.160 --> 0:25:36.640
<v Speaker 13>truth that was reached between President Donald Trump and Hijianping

0:25:36.840 --> 0:25:39.720
<v Speaker 13>at the end of October. It took effect in November,

0:25:40.000 --> 0:25:42.600
<v Speaker 13>and it is really something that US officials are watching

0:25:42.680 --> 0:25:45.960
<v Speaker 13>closely from and they will be hearing from US industries,

0:25:46.600 --> 0:25:49.760
<v Speaker 13>especially the auto industry, which has expressed the most concern

0:25:50.000 --> 0:25:54.280
<v Speaker 13>over Beijing's control over this and the bottleneck that they

0:25:54.320 --> 0:25:57.359
<v Speaker 13>really began to see in April when authorities in China

0:25:57.400 --> 0:26:00.520
<v Speaker 13>began to tighten the export controls there. So we'll be

0:26:00.560 --> 0:26:03.400
<v Speaker 13>watching to see what the signaling is from US trade

0:26:03.440 --> 0:26:06.480
<v Speaker 13>officials and whether they're seeing similar signs of progress.

0:26:07.600 --> 0:26:11.080
<v Speaker 3>Bluemegs Mike Sheppard, we always appreciate you, Thank you very much. Indeed,

0:26:11.080 --> 0:26:15.720
<v Speaker 3>now talking a bottlenecks, surging electricity demand, driven in many

0:26:15.760 --> 0:26:19.000
<v Speaker 3>ways by AI data centers, is highlighting the need for

0:26:19.040 --> 0:26:20.639
<v Speaker 3>more power in the United States and antique.

0:26:20.640 --> 0:26:23.480
<v Speaker 2>Globally, there's some good news on the tap in twenty

0:26:23.600 --> 0:26:25.520
<v Speaker 2>twenty six. The nuclear industry.

0:26:25.560 --> 0:26:29.399
<v Speaker 3>It's poised to turn on fifteen reactors worldwide, but that's actually.

0:26:29.160 --> 0:26:30.920
<v Speaker 2>After a dropping capacity this year.

0:26:31.280 --> 0:26:34.200
<v Speaker 3>Let's break it down with bluemgs wild wide covering energy, climate,

0:26:34.400 --> 0:26:38.240
<v Speaker 3>and all things nuclear. Will I'm surprised the talk, the

0:26:38.359 --> 0:26:40.800
<v Speaker 3>hype has been there in twenty twenty five, but not

0:26:40.840 --> 0:26:41.440
<v Speaker 3>the reality.

0:26:41.480 --> 0:26:43.400
<v Speaker 2>There's actually been less nuclear capacity.

0:26:43.560 --> 0:26:46.200
<v Speaker 14>Yeah, we're going to lose about a gigawad of nuclear

0:26:46.200 --> 0:26:50.159
<v Speaker 14>capacity worldwide this year. We're going to have two reactors

0:26:50.160 --> 0:26:53.400
<v Speaker 14>that came online and seven older ones got shut down

0:26:53.440 --> 0:26:56.800
<v Speaker 14>in different parts of the world. I think the quote

0:26:56.800 --> 0:26:58.800
<v Speaker 14>that I've heard this year from one of my sources

0:26:58.840 --> 0:27:01.400
<v Speaker 14>that sums it up the best is like everything's happening

0:27:01.680 --> 0:27:02.760
<v Speaker 14>and nothing's happening.

0:27:03.240 --> 0:27:04.160
<v Speaker 5>Because the thing about.

0:27:04.040 --> 0:27:07.720
<v Speaker 14>Nuclear and my editors, you know, that drives them crazy.

0:27:07.880 --> 0:27:13.000
<v Speaker 14>It happens really, really, really slowly. So there are sixty

0:27:13.320 --> 0:27:17.320
<v Speaker 14>sixty two reactors under construction worldwide around the world. They're

0:27:17.320 --> 0:27:20.760
<v Speaker 14>going to start coming on in big waves next year.

0:27:21.040 --> 0:27:24.120
<v Speaker 14>We're going to get like ten gigawatts capacity next year,

0:27:24.440 --> 0:27:27.280
<v Speaker 14>a ten more the year after that, close to ten

0:27:27.359 --> 0:27:29.960
<v Speaker 14>the year after that. So there's a lot coming, but

0:27:30.119 --> 0:27:34.520
<v Speaker 14>there's not a lot coming on right now.

0:27:34.600 --> 0:27:38.800
<v Speaker 3>Just how important is the actual sourcing of power, the

0:27:38.840 --> 0:27:43.520
<v Speaker 3>idea of nuclear being that energy and climate friendly version

0:27:43.920 --> 0:27:46.960
<v Speaker 3>of so doing, particularly plugging into data centers, or at

0:27:47.000 --> 0:27:49.479
<v Speaker 3>the same time, is electricity in the needs of it

0:27:49.520 --> 0:27:53.119
<v Speaker 3>being hampered by just resiliency in the grid. There's a

0:27:53.160 --> 0:27:57.040
<v Speaker 3>great story out by your colleagues today, another fifth story

0:27:57.040 --> 0:27:59.720
<v Speaker 3>on bottlenecks, really looking at a series of obstacles slowing

0:27:59.760 --> 0:28:02.400
<v Speaker 3>down the transition to a cleaner, more electrified future. And

0:28:02.600 --> 0:28:05.080
<v Speaker 3>they're already signaling out the issues that we face in

0:28:05.160 --> 0:28:05.760
<v Speaker 3>terms of just the.

0:28:05.720 --> 0:28:08.920
<v Speaker 2>Electric grid in experience and congestion there.

0:28:09.280 --> 0:28:12.399
<v Speaker 14>Yeah, the grid is another huge issue all to itself.

0:28:12.840 --> 0:28:17.000
<v Speaker 14>The ability to deliver the electricity is you know what

0:28:17.200 --> 0:28:22.200
<v Speaker 14>happens with the grid, and connecting to the grid takes years.

0:28:22.280 --> 0:28:24.840
<v Speaker 14>You have to go through all kinds of permitting so

0:28:24.960 --> 0:28:27.800
<v Speaker 14>you can plan your nuclear power plant, and it still

0:28:27.840 --> 0:28:30.280
<v Speaker 14>takes years to get a connection to it. We're going

0:28:30.359 --> 0:28:32.919
<v Speaker 14>to have three Mile Island come back in the service

0:28:32.960 --> 0:28:34.200
<v Speaker 14>in twenty twenty seven.

0:28:34.359 --> 0:28:36.320
<v Speaker 5>That's actually a year ahead.

0:28:35.960 --> 0:28:39.080
<v Speaker 14>Of schedule, and it was supposed to be twenty twenty eight,

0:28:39.120 --> 0:28:41.560
<v Speaker 14>but they managed to get a grid connection sooner. The

0:28:41.600 --> 0:28:44.600
<v Speaker 14>work to get it ready was always going to take

0:28:44.640 --> 0:28:46.880
<v Speaker 14>until twenty twenty seven, but they managed to get the

0:28:48.400 --> 0:28:50.640
<v Speaker 14>local grid to hook that up earlier, so that's going

0:28:50.680 --> 0:28:53.560
<v Speaker 14>to come faster. But grid connections are a big bottle dick,

0:28:53.640 --> 0:28:56.360
<v Speaker 14>not just for nuclear, for any new electricity.

0:28:57.320 --> 0:28:59.560
<v Speaker 2>I'll put Will Wade great analysis.

0:28:59.640 --> 0:29:01.920
<v Speaker 3>Thanks for talking us through it on all things nuclear

0:29:01.960 --> 0:29:04.320
<v Speaker 3>and more broadly energy adoption. Now coming up, we're going

0:29:04.400 --> 0:29:07.760
<v Speaker 3>to be discussing the future of drug discovery powered by AI.

0:29:08.320 --> 0:29:11.520
<v Speaker 3>We are discussing it with Chai Discoveries, Josh Meyer and

0:29:11.640 --> 0:29:13.960
<v Speaker 3>Elena vibe of General Catalyst.

0:29:14.200 --> 0:29:15.240
<v Speaker 2>There's a new funding round.

0:29:15.680 --> 0:29:34.040
<v Speaker 3>It's making a unicorn. This is Blomberg Tech CHAI Discovery.

0:29:34.240 --> 0:29:37.640
<v Speaker 3>It's an AI drug discovery company backed previously by Open Ai,

0:29:37.760 --> 0:29:39.800
<v Speaker 3>and it's just raised another one hundred and thirty million

0:29:39.840 --> 0:29:43.200
<v Speaker 3>dollars to scale compute, to scale talent, the goal to

0:29:43.240 --> 0:29:47.800
<v Speaker 3>build a quote computer aided design suite for molecules. CHI

0:29:47.880 --> 0:29:50.520
<v Speaker 3>Discovery co founder Josh Meyer joins us now along with

0:29:50.600 --> 0:29:53.720
<v Speaker 3>Elena Vibock, who is General Catalyst Managing director.

0:29:54.120 --> 0:29:57.400
<v Speaker 2>You co led the round with oak HCFT, so I

0:29:57.440 --> 0:29:58.720
<v Speaker 2>go to you first. Josh.

0:29:58.880 --> 0:30:01.160
<v Speaker 3>Congratulations, this is just three months after you did a

0:30:01.240 --> 0:30:03.960
<v Speaker 3>series A. Why are you doubling down and what is

0:30:03.960 --> 0:30:04.920
<v Speaker 3>the money being usedful?

0:30:06.360 --> 0:30:08.720
<v Speaker 15>Well, first of all, thanks so much for having us here.

0:30:08.720 --> 0:30:11.400
<v Speaker 15>It's a really exciting time for the company. We're coming

0:30:11.400 --> 0:30:14.240
<v Speaker 15>out of this year with a series of research breakthroughs

0:30:14.480 --> 0:30:16.560
<v Speaker 15>where we've now shown that we can use AI to

0:30:16.640 --> 0:30:19.440
<v Speaker 15>design molecules that we never even thought was going to

0:30:19.480 --> 0:30:22.160
<v Speaker 15>be possible. So really using this money to double down

0:30:22.200 --> 0:30:24.520
<v Speaker 15>on that research agenda. The model showed no signs of

0:30:24.520 --> 0:30:27.640
<v Speaker 15>double of slowing down, and then also really growing the

0:30:27.640 --> 0:30:30.280
<v Speaker 15>team and starting to take these models and start deploying

0:30:30.280 --> 0:30:33.440
<v Speaker 15>them really at scale and starting to create new molecules

0:30:33.440 --> 0:30:35.120
<v Speaker 15>that again we never thought would have been.

0:30:35.040 --> 0:30:35.880
<v Speaker 5>Possible to create.

0:30:37.680 --> 0:30:41.360
<v Speaker 3>Elena, it feels like this is a relatively pivotal moment

0:30:41.440 --> 0:30:46.000
<v Speaker 3>in AI's push forward on drug discovery and on healthcare

0:30:46.160 --> 0:30:49.200
<v Speaker 3>more broadly. You're someone who invests in life sciences. What

0:30:49.320 --> 0:30:51.760
<v Speaker 3>is it that made CHI stand out that you thought

0:30:51.840 --> 0:30:54.920
<v Speaker 3>it needed follow on money just three months after a series.

0:30:54.640 --> 0:30:59.640
<v Speaker 16>A Absolutely so CHI stood out because twenty twenty five was

0:30:59.680 --> 0:31:03.280
<v Speaker 16>the year of AI discovery, and which I allows you

0:31:03.360 --> 0:31:08.560
<v Speaker 16>to do is understand and predict the interaction between molecules

0:31:08.600 --> 0:31:12.640
<v Speaker 16>to design and develop new medicines and The reason we

0:31:12.720 --> 0:31:15.000
<v Speaker 16>invested now is because we believe.

0:31:14.760 --> 0:31:17.560
<v Speaker 17>Twenty twenty six will be the year of deployment, and

0:31:17.720 --> 0:31:22.760
<v Speaker 17>pharmaceutical companies that adopt this technology will absolutely leapfrog those

0:31:22.800 --> 0:31:26.080
<v Speaker 17>who do not. And it's a moment where medicines that

0:31:26.240 --> 0:31:29.760
<v Speaker 17>could not be discovered any other way will now be discoverable.

0:31:31.440 --> 0:31:34.560
<v Speaker 2>And the aha moment in many ways was following the

0:31:34.600 --> 0:31:37.680
<v Speaker 2>release of Chai Too. Josh tell us why that was

0:31:37.720 --> 0:31:38.400
<v Speaker 2>so important.

0:31:38.400 --> 0:31:41.840
<v Speaker 3>The latest antibody generation model that you released, and I'm

0:31:41.840 --> 0:31:44.040
<v Speaker 3>sure suddenly had a load of inbound calls on the

0:31:44.080 --> 0:31:44.480
<v Speaker 3>back up.

0:31:45.640 --> 0:31:47.440
<v Speaker 5>Yeah, so, of course this is our Series B.

0:31:47.600 --> 0:31:49.560
<v Speaker 15>But if you look back at our Series A, we

0:31:49.680 --> 0:31:52.080
<v Speaker 15>told our investors that over the next two years or

0:31:52.120 --> 0:31:54.680
<v Speaker 15>so we would try to reach a one percent success

0:31:54.760 --> 0:31:57.720
<v Speaker 15>rate on this antibody design task, meaning that one percent

0:31:57.720 --> 0:31:59.800
<v Speaker 15>of the molecules coming out of our models would function

0:32:00.160 --> 0:32:02.000
<v Speaker 15>lab We thought that'd be a breakthrough.

0:32:01.640 --> 0:32:02.360
<v Speaker 5>Moment of the field.

0:32:02.880 --> 0:32:04.959
<v Speaker 15>But a couple of months ago with Chai Too, we

0:32:05.000 --> 0:32:07.560
<v Speaker 15>actually announced that we could do this with about a

0:32:07.600 --> 0:32:10.320
<v Speaker 15>fifteen to twenty percent success rate. So I think really

0:32:10.400 --> 0:32:14.080
<v Speaker 15>leapfrogging again what even we thought was achievable in the

0:32:14.120 --> 0:32:16.680
<v Speaker 15>past year or so so that's really been I think

0:32:16.680 --> 0:32:19.040
<v Speaker 15>a big moment for the field and now moving us

0:32:19.360 --> 0:32:23.240
<v Speaker 15>away from just research curiosities into models that are really

0:32:23.320 --> 0:32:25.440
<v Speaker 15>useful for actually discovering drugs.

0:32:26.960 --> 0:32:30.320
<v Speaker 3>Elena, that's sort of mind blowing for many who aren't

0:32:30.360 --> 0:32:32.480
<v Speaker 3>in the weeds on life stimes as much as you are,

0:32:32.520 --> 0:32:34.800
<v Speaker 3>that there is only a one percent that a one

0:32:34.800 --> 0:32:38.120
<v Speaker 3>percent hit rate was going to be really tangible for

0:32:38.160 --> 0:32:41.080
<v Speaker 3>the field, and let alone fifteen to twenty percent. Talk

0:32:41.120 --> 0:32:43.440
<v Speaker 3>to us about what have been the limitations thus far

0:32:43.760 --> 0:32:46.720
<v Speaker 3>in drug discovery in labs for pharmaceuticals and what this

0:32:46.880 --> 0:32:48.040
<v Speaker 3>changes in terms of AI.

0:32:49.400 --> 0:32:53.080
<v Speaker 17>Absolutely so, when researchers try to make a new model

0:32:53.560 --> 0:32:56.440
<v Speaker 17>a new molecule, it's essentially searching for a needle in

0:32:56.480 --> 0:32:59.600
<v Speaker 17>the haystack. It happens in a lab. There's a lot

0:32:59.640 --> 0:33:02.960
<v Speaker 17>of very ability and it's really challenging. That's why even

0:33:03.000 --> 0:33:06.360
<v Speaker 17>though we've seen breakthrough medicines and many people benefit from them,

0:33:06.680 --> 0:33:09.520
<v Speaker 17>there are still lots of areas where people get sick

0:33:09.600 --> 0:33:13.240
<v Speaker 17>and have no options. What Chai has done is show

0:33:13.320 --> 0:33:18.560
<v Speaker 17>that they can design computationally medicines that have over an

0:33:18.600 --> 0:33:23.040
<v Speaker 17>eighty five percent success rate in achieving.

0:33:22.720 --> 0:33:24.320
<v Speaker 7>Basic drug like properties.

0:33:24.320 --> 0:33:27.160
<v Speaker 17>There's additional research to do, work to be done that

0:33:27.320 --> 0:33:30.840
<v Speaker 17>takes a drug from the computer into the lab, into people,

0:33:31.000 --> 0:33:36.320
<v Speaker 17>into clinical trials. But there's been a longstanding hype around

0:33:36.400 --> 0:33:39.880
<v Speaker 17>AI for drug discovery. And now when we meet pharmacutical

0:33:39.880 --> 0:33:44.320
<v Speaker 17>executives and they meet Chai, everyone says this is the

0:33:44.400 --> 0:33:47.160
<v Speaker 17>year of deployment. Now these models work in a way

0:33:47.160 --> 0:33:49.960
<v Speaker 17>that they will actually contribute to new medicines that make

0:33:50.000 --> 0:33:50.920
<v Speaker 17>it to patients.

0:33:52.040 --> 0:33:54.520
<v Speaker 3>And of course, Josh, you've previously been bat by Thrive Capital,

0:33:54.560 --> 0:33:57.520
<v Speaker 3>MENO Ventures. Open AI has been a strategic investor and

0:33:57.880 --> 0:34:00.680
<v Speaker 3>a price you used to work. But with General Catalyst

0:34:00.720 --> 0:34:03.560
<v Speaker 3>and with Oak on site, I'm sure those meetings with

0:34:03.640 --> 0:34:07.360
<v Speaker 3>pharmaceuticals come more thick and fast. But what more is

0:34:07.360 --> 0:34:09.719
<v Speaker 3>the money being put towards When you talk about scaling

0:34:09.800 --> 0:34:10.520
<v Speaker 3>this project?

0:34:11.080 --> 0:34:13.560
<v Speaker 2>How much compute do you need and how much you

0:34:13.600 --> 0:34:15.560
<v Speaker 2>need to invest in GPUs as well.

0:34:15.440 --> 0:34:18.000
<v Speaker 3>As the engineers and the fierce talent walls to get

0:34:18.000 --> 0:34:20.040
<v Speaker 3>the right people in the door to build the models too.

0:34:21.520 --> 0:34:24.160
<v Speaker 15>Yeah, well, I'm thrilled to be working with General Catalysts

0:34:24.160 --> 0:34:26.920
<v Speaker 15>and OK, here you know this ground is actually about

0:34:26.920 --> 0:34:28.839
<v Speaker 15>a lot more than the money. You know, you bring

0:34:28.880 --> 0:34:32.200
<v Speaker 15>together some of the top investors in this space in healthcare.

0:34:32.239 --> 0:34:34.400
<v Speaker 15>If you look at the folks joining our board, Annie

0:34:34.480 --> 0:34:37.719
<v Speaker 15>Lamont and Himant Nasa, these are investors who have been

0:34:37.760 --> 0:34:41.120
<v Speaker 15>my dustless healthcare investors, really plugged into the pharma space.

0:34:41.320 --> 0:34:43.239
<v Speaker 15>We're here with Elena as well, who's just such an

0:34:43.239 --> 0:34:45.960
<v Speaker 15>incredible thought partner and really building out the business so

0:34:46.000 --> 0:34:47.919
<v Speaker 15>the capital is going to work. Among all the things

0:34:47.920 --> 0:34:51.120
<v Speaker 15>that you mentioned, we're really putting an astronomical amount of

0:34:51.680 --> 0:34:54.680
<v Speaker 15>these costs into compute. We're trying to turn compute into

0:34:54.760 --> 0:34:57.200
<v Speaker 15>better into better molecules. We run a ton of live

0:34:57.280 --> 0:35:00.400
<v Speaker 15>experiments to really test whether the models work in the

0:35:00.440 --> 0:35:02.920
<v Speaker 15>real world, and we're doing a lot as well in

0:35:03.000 --> 0:35:05.759
<v Speaker 15>order to start deploying these models, building the right kind

0:35:05.800 --> 0:35:08.680
<v Speaker 15>of software tooling in order to build this computer aided

0:35:08.719 --> 0:35:10.040
<v Speaker 15>design suite for molecules.

0:35:10.800 --> 0:35:11.960
<v Speaker 5>There's the talent wars as well.

0:35:12.000 --> 0:35:14.120
<v Speaker 15>I'm very, very grateful to be working with some of

0:35:14.120 --> 0:35:16.360
<v Speaker 15>the top folks in the industry here. When we started

0:35:16.360 --> 0:35:18.799
<v Speaker 15>the company, we actually brought together a number of heads

0:35:18.840 --> 0:35:21.480
<v Speaker 15>of AI from top ei drug discovery companies, and we've

0:35:21.520 --> 0:35:23.880
<v Speaker 15>only continued to build out an exceptional team here.

0:35:24.080 --> 0:35:25.359
<v Speaker 5>We're a small but mighty team.

0:35:25.840 --> 0:35:28.440
<v Speaker 15>But we're really putting this to work in order to

0:35:28.480 --> 0:35:32.400
<v Speaker 15>turn science from a scientif biology from a scientific discipline

0:35:32.480 --> 0:35:34.520
<v Speaker 15>into one that looks a little bit more kin to engineering.

0:35:36.080 --> 0:35:39.000
<v Speaker 3>Yeah, Elena for the sort of great line that basically

0:35:39.160 --> 0:35:42.040
<v Speaker 3>there's been a lot of hype around AI and how

0:35:42.040 --> 0:35:44.440
<v Speaker 3>it will be applied to healthcare. But what do you

0:35:44.440 --> 0:35:47.239
<v Speaker 3>think helps cut through to those who are layman to

0:35:47.320 --> 0:35:49.880
<v Speaker 3>a lot of the real details and data being shown

0:35:49.920 --> 0:35:53.880
<v Speaker 3>in this that we will see productivity gains, we will

0:35:53.920 --> 0:35:56.439
<v Speaker 3>see real deployment in twenty twenty six.

0:35:56.480 --> 0:35:58.799
<v Speaker 2>What's your hope as to what this looks like next year?

0:36:00.080 --> 0:36:03.080
<v Speaker 17>Well, I think for next year the hope and I

0:36:03.120 --> 0:36:07.680
<v Speaker 17>think pretty strongly the reality is that pharmaceutical companies will

0:36:07.719 --> 0:36:11.600
<v Speaker 17>be able to discover medicines more efficiently. So Josh mentioned

0:36:11.640 --> 0:36:14.239
<v Speaker 17>there's a lot of compute going in that's really on

0:36:14.280 --> 0:36:18.799
<v Speaker 17>the research side. What's incredible is this technology is efficient,

0:36:19.200 --> 0:36:22.640
<v Speaker 17>It is helping people discover medicines, and to me, the

0:36:22.640 --> 0:36:26.799
<v Speaker 17>most important thing that lay people will see is when

0:36:26.840 --> 0:36:30.319
<v Speaker 17>we use these tools, we can discover medicines that take

0:36:30.360 --> 0:36:34.640
<v Speaker 17>advantage of known biology and impossible chemistry. You could not

0:36:34.760 --> 0:36:37.920
<v Speaker 17>make the molecule you could not make the medicine without

0:36:38.000 --> 0:36:42.000
<v Speaker 17>using this technology, and what people will see are medicines

0:36:42.080 --> 0:36:45.000
<v Speaker 17>that are curative that would not have been discovered any

0:36:45.000 --> 0:36:47.239
<v Speaker 17>other way. And that's where lay people will really see

0:36:47.280 --> 0:36:51.320
<v Speaker 17>the benefit is in medicines that have impact on their lives.

0:36:53.440 --> 0:36:57.880
<v Speaker 3>Try Discovery investor Elena Viebok there from General Catalysts, and

0:36:57.920 --> 0:37:00.920
<v Speaker 3>Try Discovery co founder Josh ma It's been great speaking

0:37:00.960 --> 0:37:01.399
<v Speaker 3>with you both.

0:37:01.440 --> 0:37:03.120
<v Speaker 2>Thank you very much, indeed for joining today.

0:37:03.840 --> 0:37:06.520
<v Speaker 3>By coming up, take a look to the shares of

0:37:06.560 --> 0:37:09.960
<v Speaker 3>Service Now and Intel, both under pressure, both in talks

0:37:09.960 --> 0:37:12.799
<v Speaker 3>to buy startups. We'll talk about those potential deals next.

0:37:12.960 --> 0:37:28.480
<v Speaker 3>This is Bloomberg Tech. It's time now for talking tech

0:37:28.480 --> 0:37:32.719
<v Speaker 3>and first up. Rumba maker I Robot, of course, is

0:37:32.760 --> 0:37:36.319
<v Speaker 3>filed for bankruptcy and proposed handing over control its main

0:37:36.840 --> 0:37:40.680
<v Speaker 3>Chinese supplier, Sheens and Robotics. Under the proposed Chapter eleven plan,

0:37:40.719 --> 0:37:44.600
<v Speaker 3>the company's common stock will be wiped out. Plus leadership

0:37:44.600 --> 0:37:47.680
<v Speaker 3>and McKinsey is discussing potential job cuts, reducing roughly ten

0:37:47.719 --> 0:37:50.560
<v Speaker 3>percent of its head count across non client facing departments.

0:37:50.800 --> 0:37:53.279
<v Speaker 3>This coming as its revenue growth has flatlined over the

0:37:53.320 --> 0:37:56.719
<v Speaker 3>past five years. Now McKinsey spokesman said that we are

0:37:56.760 --> 0:37:59.960
<v Speaker 3>operating in a moment shaped by rapid advances in AI

0:38:00.640 --> 0:38:04.680
<v Speaker 3>that are transforming business and society and Service Now, but

0:38:04.719 --> 0:38:07.040
<v Speaker 3>it's closing in on a deal to buy cybersecurity startup

0:38:07.120 --> 0:38:09.040
<v Speaker 3>Armies for as much as seven billion dollars according to

0:38:09.080 --> 0:38:11.560
<v Speaker 3>people familiar with the talks now. The stock is under pressure,

0:38:11.560 --> 0:38:13.799
<v Speaker 3>as you can see after analysts at Key Bank cut

0:38:13.800 --> 0:38:16.520
<v Speaker 3>their waiting to underweight this morning, citing mounting threats also

0:38:16.560 --> 0:38:20.080
<v Speaker 3>from artificial intelligence. Let's just dig in on that particular

0:38:20.120 --> 0:38:22.799
<v Speaker 3>deal on the talks on Service Now, but also other

0:38:22.880 --> 0:38:25.960
<v Speaker 3>deals being eyed in tech, including Intel's potential plans to

0:38:25.960 --> 0:38:29.240
<v Speaker 3>buy AI startups and Manova Systems joining us to discuss

0:38:29.239 --> 0:38:31.239
<v Speaker 3>all of this as Bloomberg's Ryan Gould covering M and

0:38:31.320 --> 0:38:34.080
<v Speaker 3>A and as ever a busy weekend for you covering

0:38:34.200 --> 0:38:37.440
<v Speaker 3>M and A, Ryan, talk about Service Now first and foremost,

0:38:37.440 --> 0:38:40.720
<v Speaker 3>why does it want this Israeli based cyber company Armists?

0:38:40.719 --> 0:38:41.600
<v Speaker 2>What would it help it do?

0:38:43.040 --> 0:38:44.960
<v Speaker 8>Thanks, Jeron, and I think it's an interesting time to

0:38:45.000 --> 0:38:47.960
<v Speaker 8>be serviced now. You'll note that they just acquired announcedllly

0:38:48.040 --> 0:38:50.800
<v Speaker 8>this month in acquisition for a company called Vezza or Vetza,

0:38:50.920 --> 0:38:53.239
<v Speaker 8>depending on how it's pronounced. I think that was worth

0:38:53.280 --> 0:38:56.239
<v Speaker 8>about a billion dollars for the security and risk portfolio.

0:38:56.560 --> 0:38:58.480
<v Speaker 8>I think this really drives home the idea that you

0:38:58.600 --> 0:39:00.759
<v Speaker 8>need to be ready for us for an enterprise, the

0:39:00.800 --> 0:39:04.040
<v Speaker 8>size of service now for potential threats, potential attacks of

0:39:04.080 --> 0:39:06.440
<v Speaker 8>the you know, in the age of AI, this is

0:39:06.480 --> 0:39:08.920
<v Speaker 8>a massive growth area across the street. You've seen quite

0:39:08.920 --> 0:39:11.960
<v Speaker 8>a few other sizable cyber deals this year, including cyber

0:39:12.040 --> 0:39:15.400
<v Speaker 8>Arc being bought by parallel to Networks. Big enterprise is

0:39:15.440 --> 0:39:17.600
<v Speaker 8>Microsoft Google. I mean, look at Google Whiz paying thirty

0:39:17.640 --> 0:39:21.720
<v Speaker 8>two billion dollars for what is sustensibly a threat detection

0:39:21.920 --> 0:39:24.800
<v Speaker 8>and enterprise is management business as one of the biggest

0:39:24.880 --> 0:39:27.080
<v Speaker 8>MNA deals of twenty twenty five. So I think this

0:39:27.120 --> 0:39:29.920
<v Speaker 8>is really driving home the point that AI and security

0:39:29.920 --> 0:39:30.760
<v Speaker 8>go hand in hand.

0:39:32.719 --> 0:39:36.280
<v Speaker 3>They go hand in hand, and also AI is fueling

0:39:36.520 --> 0:39:38.640
<v Speaker 3>M and A in other parts of the industry. I

0:39:38.640 --> 0:39:41.600
<v Speaker 3>mean Intel lipbutan the CEO of Intel is also on

0:39:41.640 --> 0:39:44.200
<v Speaker 3>the board of a startup that you report.

0:39:43.920 --> 0:39:46.360
<v Speaker 2>Might be being eyed as well by the company.

0:39:47.160 --> 0:39:49.640
<v Speaker 8>That's correct. I think you know this what this acquisition

0:39:49.680 --> 0:39:52.799
<v Speaker 8>would be seen as lipbutan sort of you know, doing

0:39:52.800 --> 0:39:55.920
<v Speaker 8>a full circle ride almost Flipbutan, the CEO of Intel,

0:39:56.160 --> 0:39:58.760
<v Speaker 8>was at one point the executive chair of san Manova,

0:39:59.200 --> 0:40:01.720
<v Speaker 8>his VC fund, and Walden Internationals one of the founding

0:40:01.760 --> 0:40:05.560
<v Speaker 8>investors of zan Manova. Sambernoma makes custom AI chips, the

0:40:05.600 --> 0:40:08.520
<v Speaker 8>type which, if if all were to go well, could

0:40:08.520 --> 0:40:12.200
<v Speaker 8>potentially arrival in VideA and AMD in that market space.

0:40:12.800 --> 0:40:14.399
<v Speaker 8>For Intel to get a hold of this, I think

0:40:14.400 --> 0:40:18.160
<v Speaker 8>this would be seen as liputan, you know, really putting

0:40:18.160 --> 0:40:21.479
<v Speaker 8>it Intel in the mix in AI, having an AI

0:40:21.520 --> 0:40:23.040
<v Speaker 8>platform to go and talk about in front of other

0:40:23.080 --> 0:40:26.719
<v Speaker 8>AAI enterprise customers like Dell and so forth. This would

0:40:26.719 --> 0:40:29.120
<v Speaker 8>be a big deal for them.

0:40:29.360 --> 0:40:32.560
<v Speaker 3>It will be, and it's pressuring both stocks today, particularly

0:40:32.920 --> 0:40:35.440
<v Speaker 3>Service now some billion would be the biggest they've ever

0:40:35.440 --> 0:40:38.520
<v Speaker 3>spent bliue Begswan Gold. With all the reporting across quite

0:40:38.520 --> 0:40:39.719
<v Speaker 3>the wave of M and A, it's going to be

0:40:39.760 --> 0:40:42.080
<v Speaker 3>a big blocks bluster twenty twenty five if you're looking

0:40:42.080 --> 0:40:42.720
<v Speaker 3>at the numbers.

0:40:42.760 --> 0:40:45.480
<v Speaker 2>But it's also a blockbuster day, it seems for Tesla.

0:40:45.719 --> 0:40:47.719
<v Speaker 3>Quick check on the markets here and Tesla is your

0:40:47.800 --> 0:40:50.319
<v Speaker 3>lead performer in terms of about four point three percent in

0:40:50.320 --> 0:40:53.560
<v Speaker 3>many ways driving it to potentially a new record high.

0:40:53.560 --> 0:40:56.320
<v Speaker 3>At the moment is the biggest move since December twenty

0:40:56.400 --> 0:40:57.799
<v Speaker 3>twenty four and one point.

0:40:57.880 --> 0:40:59.600
<v Speaker 2>If we hit four eight one spot.

0:40:59.400 --> 0:41:02.640
<v Speaker 3>Sem six, we could be the highest is June well

0:41:02.840 --> 0:41:05.440
<v Speaker 3>on record for the company. So keep an eye on

0:41:05.480 --> 0:41:08.840
<v Speaker 3>Tesla as it continues to outperform in the Magnificent seven names.

0:41:09.080 --> 0:41:11.520
<v Speaker 2>But that does it for this edition of Bloomberg Tech.

0:41:11.880 --> 0:41:14.719
<v Speaker 3>Do not forget to check out our podcast. You can

0:41:14.719 --> 0:41:17.800
<v Speaker 3>find it on the terminal as well as online on Apple, Spotify.

0:41:17.440 --> 0:41:18.160
<v Speaker 2>And iHeart.

0:41:18.960 --> 0:41:21.680
<v Speaker 3>We are here throughout the build up of the last

0:41:21.719 --> 0:41:25.120
<v Speaker 3>trading week, full trading week where we still question some

0:41:25.160 --> 0:41:28.600
<v Speaker 3>of the AI valuations. Tune in throughout. I'm life from

0:41:28.600 --> 0:41:30.560
<v Speaker 3>London today, back in New York tomorrow.

0:41:31.120 --> 0:41:32.000
<v Speaker 2>This is Boomberg Tech.