WEBVTT - Fed Says Most Districts Saw Flat or Declining Economic Activity

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week Inside, from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebek from Bloomberg Radio.

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<v Speaker 2>Going through the Paige Book, the anecdotal summary of what

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<v Speaker 2>is going on when it comes to overall economic activity

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<v Speaker 2>in the Fed's districts. Economic activity grew slightly in three districts,

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<v Speaker 2>while the number of districts that reported flat or declining

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<v Speaker 2>activity rose from five in the prior period to nine

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<v Speaker 2>in the current period. Employment levels were study overall, though

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<v Speaker 2>there were isolated reports that firms filled only necessary positions,

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<v Speaker 2>reduced hours in shifts, or lowered overall employment levels through attrition. Still,

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<v Speaker 2>reports of layoffs remained rare. On balance, wage growth was

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<v Speaker 2>modest well Increases in non labor input costs and selling

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<v Speaker 2>prices range from slight to moderate. From all on this,

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<v Speaker 2>we turned to Stephen Blitze's chief US economist at Global

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<v Speaker 2>Data TS Lombard. He joins us here in the Bloomberg

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<v Speaker 2>BusinessWeek Studio. Important to keep in mind this is anecdotal

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<v Speaker 2>evidence from the FEDS districts, but it does give a

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<v Speaker 2>good idea of changes from different periods of time and

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<v Speaker 2>how employers are feeling about the economy. What are your takeaways?

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<v Speaker 3>Well, I wouldn't downgrade the fact that it's anecdotal information,

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<v Speaker 3>because if you go back to the time leading into

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<v Speaker 3>eighth nine, they valued and they learned in their sort

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<v Speaker 3>of you know, Monday morning quarterbacking of going in the

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<v Speaker 3>value of anecdotal information. And I'm really not surprised by

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<v Speaker 3>what this said because if you look at the economic

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<v Speaker 3>data that's coming out, right, and I expect the Friday

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<v Speaker 3>employment number not to be particularly surprising either direction.

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<v Speaker 2>So in line with expectations.

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<v Speaker 3>Yeah, in line with expectations in other ways. They don't

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<v Speaker 3>expect minus one hundred thousand or something like that. But

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<v Speaker 3>what this number tells you, This tells you why Powell

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<v Speaker 3>said what he did at Jackson Hole making a for

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<v Speaker 3>a FED chair, a very blanket statement saying you know it,

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<v Speaker 3>the easing of labor markets stops here, all right, And

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<v Speaker 3>anecdotal information is very important to them at turns in

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<v Speaker 3>the cycle because they lead the data.

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<v Speaker 4>So how are you thinking about all the data that's

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<v Speaker 4>coming in right now, because it really seems like we're

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<v Speaker 4>in a situation where the market at least is very sensitive.

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<v Speaker 4>They don't want to see, for example, a labor market

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<v Speaker 4>that's too hot. They don't want to see when that

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<v Speaker 4>is too weak. How are you kind of putting all

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<v Speaker 4>of this together?

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<v Speaker 3>Well, I think on the edges, right, there's no recession, right,

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<v Speaker 3>and so on the edges you see weakening economic growth.

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<v Speaker 3>The July personal income data is actually pretty good, especially

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<v Speaker 3>on real spending for discretionary items in other words, not

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<v Speaker 3>counting food, energy, rent. So it's actually pretty good, right,

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<v Speaker 3>So this is really about this is unusual for most cycles,

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<v Speaker 3>and that this is really about the FED easing before

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<v Speaker 3>recessionary data takes place as opposed to the usual, which

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<v Speaker 3>is catching up, right, And they don't want to be

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<v Speaker 3>in catch up mode, right, And by anyone's model, the

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<v Speaker 3>funds raise at least one hundred basis points too high.

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<v Speaker 3>So the real question is how fast do you get

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<v Speaker 3>down there? And the data will determine that the market

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<v Speaker 3>is figuring that once they do the twenty five, the

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<v Speaker 3>data will soften enough to scare the market to do

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<v Speaker 3>like a fifty in December, and then another twenty five

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<v Speaker 3>in December, and that's how you get your one hundred right.

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<v Speaker 3>The moves after that, right is really in anticipation of

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<v Speaker 3>the funds rate going down to adjust for an inflation

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<v Speaker 3>rate by the next year it's two percent instead of three.

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<v Speaker 2>I'm looking at labor markets. In the beij book, it

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<v Speaker 2>says that employment levels STEVE were generally flat to up

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<v Speaker 2>slightly in recent weeks. A few districts reported that firms

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<v Speaker 2>reduced shifts and hours, left advertised positions unfilled, or reduced

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<v Speaker 2>headcount through attrition, though accounts of layoffs remained rare. Employers

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<v Speaker 2>were more selective with their hires and less likely to

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<v Speaker 2>expand their workforces, citing concerns about demand and an uncertain

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<v Speaker 2>economic outlook. Is this coupled with the Jolts data that

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<v Speaker 2>we got earlier today, Is this a return to normalcy?

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<v Speaker 3>Well, that's that's the question, right, and that's always that's

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<v Speaker 3>been the question all along as to whether or not

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<v Speaker 3>this is just a return to a normal economy or

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<v Speaker 3>this is a precursor to recession.

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<v Speaker 2>What do you think?

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<v Speaker 3>I think that in what I'm reading here, this is

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<v Speaker 3>typical precursor of recession.

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<v Speaker 2>He said, we're not in a recession right now.

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<v Speaker 3>No, we're not. We're not in a recession now to

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<v Speaker 3>be very clear. Right, but before firms start to lay

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<v Speaker 3>people off, right, what do they do, just in our

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<v Speaker 3>own experience, right, they slow wage increases, maybe they don't

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<v Speaker 3>give wage increases. They cut travel. Business travel is an

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<v Speaker 3>important you know, ask you know, hotels what they're seeing

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<v Speaker 3>in business travel, not vacations, but business travel.

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<v Speaker 5>Uh.

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<v Speaker 3>And then they cut hours, and then there's unfilled positions

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<v Speaker 3>and they say, you know what, we're not going to

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<v Speaker 3>fill this position.

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<v Speaker 2>We've been hearing for two or three years that a

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<v Speaker 2>recession is just around the corner. Why is what? And

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<v Speaker 2>it hasn't it hasn't arrived.

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<v Speaker 3>Well, we haven't gone around enough corners yet.

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<v Speaker 2>Okay, maybe we haven't. What's different about this environment?

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<v Speaker 3>Well, the difference is that this is not a normal

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<v Speaker 3>cycle because there was a mandated shutdown and then a

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<v Speaker 3>mandated reopening which was COVID, right, and you had a

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<v Speaker 3>tremendous amount of fiscal stimulus along with that, and so

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<v Speaker 3>you had this unreal, unsustainable six percent growth whatever it

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<v Speaker 3>was in twenty twenty two. So the economy is going

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<v Speaker 3>from six down to two two and a half, so

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<v Speaker 3>which is its normal cycle. As the impact of all

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<v Speaker 3>these stuff kind of washes through, so it's very hard

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<v Speaker 3>to tell what is just returning to normal and when

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<v Speaker 3>are you going past that? Now, the Fed really didn't

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<v Speaker 3>get tight until earlier late last year, earlier this year.

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<v Speaker 3>And my favorite indicator is the inversion of the real

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<v Speaker 3>yeald curve, so real three month yels versus real ten

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<v Speaker 3>yure yelds, and that inverted last November, and that's about

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<v Speaker 3>a twelve month till, you know, on average, which is

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<v Speaker 3>always a dangerous number, but on average is about twelve months,

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<v Speaker 3>which puts you into coming into recession at the end

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<v Speaker 3>of this year. But of course, you know, it's not

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<v Speaker 3>necessarily faded if the Fed does what it wants to

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<v Speaker 3>do in terms of easing financial conditions, and the key

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<v Speaker 3>one is to actually cut the cost of short.

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<v Speaker 2>Term financing, which they're set to do.

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<v Speaker 3>Which they will do twenty five in September. Unless, as

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<v Speaker 3>a unless there's a unless there's a big negative surprise, right,

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<v Speaker 3>there's no upside number like let's say it's two undred

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<v Speaker 3>and fifty thousand that's gonna keep them, especially given this

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<v Speaker 3>anecdotal information that will keep them from cutting twenty five.

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<v Speaker 3>So the question is twenty five or fifty, and you

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<v Speaker 3>would need a really poor employment number to get fifty.

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<v Speaker 2>Steve, We're gonna have to leave it there. Steven Blitz,

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<v Speaker 2>Chief US Economists at Global Data TS Lumbar joining us

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<v Speaker 2>here in the Bloomberg at Business Week studio. Always good

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<v Speaker 2>to see you.

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<v Speaker 2>Well Suprilla. It is a bound when talking about what

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<v Speaker 2>happened with the video. Yesterday, shares fell more than nine

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<v Speaker 2>point five percentator Race nearly two hundred and eighty billion

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<v Speaker 2>dollars in market cap. It lost more than the market

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<v Speaker 2>cap of Adobe, which is one of the thirtiest thirty

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<v Speaker 2>biggest stocks in the US market. Shares hired by the

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<v Speaker 2>three tenths of one percent as we speak. Then, aftermarkets closed,

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<v Speaker 2>Ian King and Leah Nyland exclusively reported that the US

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<v Speaker 2>Justice Department sent subpoenas to Innvidia and other companies as

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<v Speaker 2>it seeks evidence that the chip maker violated anti trust laws,

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<v Speaker 2>an escalation of its investigation into the dominant provider of

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<v Speaker 2>AI processors. We got with us Ian King, Bloomberg News

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<v Speaker 2>US Semiconductor and networking reporter, joining us from our San

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<v Speaker 2>Francisco bureau. Ian. The dust has settled a little bit

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<v Speaker 2>in the last eighteen hours twenty hours or so since

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<v Speaker 2>you and Leah reported this story. As the dust settles,

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<v Speaker 2>remind us what is that issue here and what the

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<v Speaker 2>Justice Department is alleging.

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<v Speaker 6>I mean, the important thing is that this is a subpoena.

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<v Speaker 6>They've been surveying in Vidia's customers and competitors. Now they've

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<v Speaker 6>moved to a subpoena, which, as you know, is a

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<v Speaker 6>legally enforceable requirement to provide information. So what we think

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<v Speaker 6>in terms of what this signifies is that they are

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<v Speaker 6>moving closer to wards launching a formal complaint alleging that

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<v Speaker 6>in Video has try and gross rules here.

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<v Speaker 2>Remind us what Invidia has said thus far about these subpoenas.

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<v Speaker 6>Yeah, in response to our story, they came back and

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<v Speaker 6>they were quite feisty. They didn't deny the facts. What

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<v Speaker 6>they said was, look, people buy our chips because they're good.

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<v Speaker 6>If they don't, they can go elsewhere. So really, you know,

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<v Speaker 6>showing a degree of irritation, I would say with this,

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<v Speaker 6>they believe in truth and engineering. They believe that they

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<v Speaker 6>are where they are because they are the best engineers

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<v Speaker 6>for this type of product.

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<v Speaker 4>So what is at the core of the DOJ probe?

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<v Speaker 4>What part of Nvidia's supply chain are they really looking

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<v Speaker 4>at here?

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<v Speaker 6>Yeah, I mean, we won't really know that until as

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<v Speaker 6>a formal complaint filed, but our reporting basically shows that

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<v Speaker 6>what they're looking at is the idea. And this is

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<v Speaker 6>something that's happened in the chip industry before with companies

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<v Speaker 6>like Intel, where if you make multiple products for a

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<v Speaker 6>data center, such as what in VideA does you know

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<v Speaker 6>networking software? They supply software, models, services, and the chips say,

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<v Speaker 6>if you only want to buy the chips, maybe you're

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<v Speaker 6>paying more, maybe you're not getting the kind of supply

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<v Speaker 6>that you want, compared to those that are buying everything.

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<v Speaker 6>That's one of the examples that's that's sort of been

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<v Speaker 6>thrown around. Maybe there's some kind of pricing differentiation going

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<v Speaker 6>on that the customers don't like or think is unfair.

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<v Speaker 6>All of these kind of ideas when you have a

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<v Speaker 6>company like in Video, which is so utterly dominant in

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<v Speaker 6>one area.

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<v Speaker 2>Okay, well you bring up a good point in that

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<v Speaker 2>it is utterly dominant in this in this one area,

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<v Speaker 2>and you said, well, essentially the response has been if

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<v Speaker 2>you don't like our product, you can go elsewhere? Can consumers?

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<v Speaker 2>Can customers really go elsewhere?

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<v Speaker 6>Sort of? I think the problem. I mean, obviously, competitors

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<v Speaker 6>such as Intel and AMD are really you know, it's

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<v Speaker 6>taken them a while, and AMD is closer but still

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<v Speaker 6>not really at the level that in Video is that,

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<v Speaker 6>and Intel, by its own admission, it is kind of

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<v Speaker 6>trailing far behind. So in that sense, no, but there

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<v Speaker 6>are other aspects to this. A company like AWS, Amazon's

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<v Speaker 6>web services, they do their own networking, they do their

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<v Speaker 6>own servers, they do their own software. So maybe they

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<v Speaker 6>just want the chips. Maybe it's hot. I'm giving you

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<v Speaker 6>a hypothetical here. Maybe it's difficult for them because they

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<v Speaker 6>don't want to buy everything. So that's the kind of

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<v Speaker 6>argument that exists that maybe some of these companies that

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<v Speaker 6>have the expertise and the ability to do a lot

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<v Speaker 6>of themselves want just the chips and want those chips

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<v Speaker 6>on for fair terms.

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<v Speaker 4>What do you make of the move in the stock

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<v Speaker 4>we saw obviously in video fall almost ten percent yesterday,

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<v Speaker 4>but it's actually in positive territory right now. Is that

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<v Speaker 4>move justified with the news that you're reporting.

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<v Speaker 6>I mean, I think you would have to ask my

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<v Speaker 6>market's colleagues a little bit more about that. I mean,

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<v Speaker 6>looking at what was happening yesterday, and this is before

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<v Speaker 6>US went out, there was you know, obviously all of

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<v Speaker 6>the chips related stocks sold off, and those that had

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<v Speaker 6>been tied to this kind of AI frenzy were amongst

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<v Speaker 6>the leaders, and obviously in video led everybody because of

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<v Speaker 6>its market happ it had a huge impact on the indexes,

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<v Speaker 6>and particularly chip related index So that had happened pre

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<v Speaker 6>to this. I mean, what we should do is probably

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<v Speaker 6>separate the short term fluctuations between the long term impact

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<v Speaker 6>of something like an antitrust investigation, which will take a

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<v Speaker 6>long time and which will likely be appealed if there

0:12:35.520 --> 0:12:38.200
<v Speaker 6>is an investigation, if there is a formal complaint, and

0:12:38.240 --> 0:12:41.440
<v Speaker 6>if the courts decide in favor of the government's case

0:12:41.480 --> 0:12:42.839
<v Speaker 6>whenever that is brought.

0:12:42.760 --> 0:12:45.480
<v Speaker 2>Okay, whenever that is Broughty in help us understand and

0:12:45.480 --> 0:12:48.080
<v Speaker 2>help our audience understand what the next piece of this

0:12:48.160 --> 0:12:49.920
<v Speaker 2>puzzle would be. What are you watching for?

0:12:50.760 --> 0:12:53.320
<v Speaker 6>Yeah, I mean there would be a formal complaint would

0:12:53.320 --> 0:12:55.679
<v Speaker 6>be the next step we have to say in that

0:12:55.800 --> 0:13:01.160
<v Speaker 6>regard these things typically have taken years. Actions against Microsoft,

0:13:01.200 --> 0:13:03.839
<v Speaker 6>actions in the past against Intel, and quite a lot

0:13:03.840 --> 0:13:06.800
<v Speaker 6>of them have you know, very little material impact on

0:13:06.840 --> 0:13:10.200
<v Speaker 6>a company's fortunes because I guess what technology moves quicker

0:13:10.240 --> 0:13:15.160
<v Speaker 6>than the legal system. But at the same time, it's clear,

0:13:15.559 --> 0:13:18.760
<v Speaker 6>not only in the US but worldwide that AI and

0:13:18.800 --> 0:13:22.920
<v Speaker 6>who controls it, who controls these vital passways, is a clear,

0:13:23.440 --> 0:13:28.840
<v Speaker 6>you know, strategic geopolitical security focus for governments around the world.

0:13:29.280 --> 0:13:31.640
<v Speaker 6>So I think we could take this as part of

0:13:31.720 --> 0:13:34.160
<v Speaker 6>a you know, a broader look at these things, and

0:13:34.200 --> 0:13:36.720
<v Speaker 6>obviously an influence that governments feel they need to bring

0:13:37.000 --> 0:13:38.400
<v Speaker 6>to bear upon this market.

0:13:38.600 --> 0:13:40.360
<v Speaker 2>Hey, in what we have you, we'd be remiss if

0:13:40.360 --> 0:13:43.120
<v Speaker 2>we didn't ask you for your view on what happened

0:13:43.200 --> 0:13:45.520
<v Speaker 2>yesterday when it came to the socks. When it came

0:13:45.559 --> 0:13:47.760
<v Speaker 2>to the chip stocks, we saw all thirty components of

0:13:47.760 --> 0:13:50.760
<v Speaker 2>the socks down yesterday. The socks had its worst day

0:13:51.160 --> 0:13:54.679
<v Speaker 2>going all the way back to twenty twenty. There was

0:13:54.720 --> 0:13:57.720
<v Speaker 2>this UBS note that came out yesterday. But other than that,

0:13:58.400 --> 0:14:02.920
<v Speaker 2>why did we see such a decline in chip stocks yesterday?

0:14:03.120 --> 0:14:06.800
<v Speaker 6>I mean, it's look at the multiples, look at the

0:14:06.880 --> 0:14:10.920
<v Speaker 6>run ups that we've had this year, last year. It's

0:14:11.000 --> 0:14:14.280
<v Speaker 6>clear that a huge amount of money has been shifted

0:14:14.440 --> 0:14:17.760
<v Speaker 6>into this sector, and it's happened very very quickly, in

0:14:17.880 --> 0:14:20.920
<v Speaker 6>video being the prime example of that. When you get

0:14:20.920 --> 0:14:23.480
<v Speaker 6>that kind of concentration, you obviously attract a lot of

0:14:23.960 --> 0:14:27.239
<v Speaker 6>retail investors and a lot of people who don't potentially

0:14:27.640 --> 0:14:29.800
<v Speaker 6>have the knowledge. So you have a lot of you know,

0:14:29.840 --> 0:14:32.040
<v Speaker 6>what people will call fast money coming into a sector

0:14:32.080 --> 0:14:34.600
<v Speaker 6>which traditionally didn't really have it. So that's going to

0:14:34.640 --> 0:14:39.400
<v Speaker 6>make any rollover, any sense that perhaps we've got ahead

0:14:39.440 --> 0:14:42.360
<v Speaker 6>of ourselves a little bit even more precipitous. When people

0:14:42.400 --> 0:14:45.600
<v Speaker 6>get nervous and when they pull back, that is one

0:14:45.640 --> 0:14:49.520
<v Speaker 6>explanation of what happened yesterday, and we've seen that happen recently.

0:14:49.720 --> 0:14:52.360
<v Speaker 6>And then guess what the money came rolling back in again.

0:14:52.480 --> 0:14:56.200
<v Speaker 6>So you would have to ask, you know, long term

0:14:56.240 --> 0:14:58.920
<v Speaker 6>investors and short term investors what their viewpoint is and

0:14:58.960 --> 0:15:01.640
<v Speaker 6>what their biases to me, that is the kind of

0:15:01.720 --> 0:15:04.480
<v Speaker 6>explanation that I've heard that makes most sense to describe

0:15:04.480 --> 0:15:05.160
<v Speaker 6>what's going on.

0:15:05.280 --> 0:15:07.960
<v Speaker 2>Well, we certainly appreciate that explanation, and we certainly appreciate

0:15:07.960 --> 0:15:11.080
<v Speaker 2>all the coverage that you and the team covering Nvidia

0:15:11.120 --> 0:15:14.440
<v Speaker 2>and other chip companies. Ian King, Bloomberg News US Semiconductor

0:15:14.440 --> 0:15:17.760
<v Speaker 2>and Networking reporter, joining us from our San Francisco bureau.

0:15:18.200 --> 0:15:20.680
<v Speaker 2>Now we're going to talk Intel because the Biden Harris

0:15:20.720 --> 0:15:23.880
<v Speaker 2>Administration's big bet on Intel to lead a US chip

0:15:23.880 --> 0:15:26.880
<v Speaker 2>making renaissance is in grave trouble. This as a result

0:15:27.240 --> 0:15:30.520
<v Speaker 2>of the company's mounting financial struggles. It creates a potentially

0:15:30.600 --> 0:15:35.720
<v Speaker 2>damaging setback for the country's most ambitious industrial policy in decades,

0:15:35.840 --> 0:15:39.520
<v Speaker 2>so writes Mackenzie Hawkins, Bloomberg News US Economic and Industrial

0:15:39.600 --> 0:15:43.720
<v Speaker 2>policy reporter. She joined us from Washington, d C. Mackenzie

0:15:43.760 --> 0:15:46.000
<v Speaker 2>Intel is supposed to receive eight and a half billion

0:15:46.040 --> 0:15:48.960
<v Speaker 2>dollars in grants and eleven billion dollars in loans. That's

0:15:48.960 --> 0:15:52.080
<v Speaker 2>as a result of the Chips Act from twenty twenty two,

0:15:52.720 --> 0:15:57.400
<v Speaker 2>but only if the chip maker meets key milestones. Where

0:15:57.480 --> 0:16:00.400
<v Speaker 2>is Intel right now in relation to those miles stones?

0:16:02.400 --> 0:16:05.960
<v Speaker 7>So President Joe Biden went to Intel's factory site in

0:16:06.080 --> 0:16:09.360
<v Speaker 7>Arizona in March and announced this massive grant and loan

0:16:09.400 --> 0:16:11.560
<v Speaker 7>package from the chips Stacked and what could be and

0:16:11.600 --> 0:16:15.400
<v Speaker 7>would be the program's largest award. And Intel, like more

0:16:15.440 --> 0:16:17.560
<v Speaker 7>than a dozen other companies that are supposed to receive

0:16:17.640 --> 0:16:20.280
<v Speaker 7>US government subsidies, is in the middle of a pretty

0:16:20.280 --> 0:16:23.680
<v Speaker 7>intense due diligence process that comes after reaching that preliminary

0:16:23.680 --> 0:16:27.240
<v Speaker 7>agreement earlier this year, and once the company signs a

0:16:27.280 --> 0:16:30.280
<v Speaker 7>final term sheet and hits milestones on each of four

0:16:30.320 --> 0:16:33.400
<v Speaker 7>projects that Intel's Chipsacked Award is supposed to support, they

0:16:33.440 --> 0:16:35.600
<v Speaker 7>could start to receive funding from the government in the

0:16:35.640 --> 0:16:39.520
<v Speaker 7>form of a reimbursement for companies spending. But Intel has

0:16:39.600 --> 0:16:43.120
<v Speaker 7>resisted certain due diligence requests from the Biden administration and

0:16:43.520 --> 0:16:46.600
<v Speaker 7>had a pretty disastrous financial report early last month that

0:16:46.640 --> 0:16:50.160
<v Speaker 7>calls into question whether the company will ever be able

0:16:50.200 --> 0:16:52.640
<v Speaker 7>to reach the milestones that would trigger that disbursement in

0:16:52.680 --> 0:16:53.280
<v Speaker 7>the first place.

0:16:53.960 --> 0:16:56.880
<v Speaker 4>So what is the US really looking here when it's

0:16:57.000 --> 0:17:00.920
<v Speaker 4>examining these milestones, Like, what exactly are the milestones that

0:17:00.960 --> 0:17:02.040
<v Speaker 4>Intel has to meet?

0:17:03.800 --> 0:17:06.959
<v Speaker 7>So the government has been actually pretty quiet on the milestones.

0:17:07.000 --> 0:17:09.600
<v Speaker 7>They're very bespoke arrangements that go on not just a

0:17:09.640 --> 0:17:12.480
<v Speaker 7>company by company basis, but a project by project one.

0:17:12.600 --> 0:17:15.959
<v Speaker 7>So in Intel's portfolio, for example, you have everything from

0:17:16.000 --> 0:17:18.320
<v Speaker 7>an R and D facility in organ to a small

0:17:18.359 --> 0:17:21.480
<v Speaker 7>packaging project in New Mexico, and each of those facilities

0:17:21.520 --> 0:17:25.520
<v Speaker 7>have different timelines, different milestones, and different portions of Intel's

0:17:25.520 --> 0:17:28.720
<v Speaker 7>grant that would fund those projects. But across the board,

0:17:28.760 --> 0:17:31.240
<v Speaker 7>one of the key metrics for the Biden administration is

0:17:31.359 --> 0:17:34.280
<v Speaker 7>general commercial viability, and the best way for a company

0:17:34.280 --> 0:17:37.359
<v Speaker 7>to demonstrate that is by lining up major customers. So

0:17:37.400 --> 0:17:40.639
<v Speaker 7>if you compare Intel to a company like Taiwan's TSMC,

0:17:40.840 --> 0:17:44.040
<v Speaker 7>which is widely regarded to have the world's best semiconductor

0:17:44.160 --> 0:17:47.400
<v Speaker 7>technology and has orders from pretty much every major tech

0:17:47.480 --> 0:17:50.440
<v Speaker 7>name in the books, Intel doesn't actually have any major

0:17:50.480 --> 0:17:53.080
<v Speaker 7>customers lined up for its US facilities. It has some

0:17:53.200 --> 0:17:56.639
<v Speaker 7>interest from companies including Media Tech, Broadcom, and Microsoft, but

0:17:56.680 --> 0:17:59.240
<v Speaker 7>none of them have reached full production yet. The Commerce

0:17:59.280 --> 0:18:02.000
<v Speaker 7>Secretary Hers Steff actually reached out to executives out in

0:18:02.119 --> 0:18:05.119
<v Speaker 7>Vidia and AMD and asked them to consider manufacturing it

0:18:05.160 --> 0:18:08.440
<v Speaker 7>Intel's Ohio facility, which could become the world's largest chip

0:18:08.480 --> 0:18:11.439
<v Speaker 7>making factory if it's fully built out, and neither company

0:18:11.480 --> 0:18:12.159
<v Speaker 7>plans to do so.

0:18:12.680 --> 0:18:15.480
<v Speaker 2>Hey mackenzie, how did this story change just in the

0:18:15.560 --> 0:18:19.160
<v Speaker 2>last month, Because at the beginning of August, Intel reported

0:18:19.240 --> 0:18:24.119
<v Speaker 2>earnings and it was the worst single day in decades.

0:18:24.240 --> 0:18:27.280
<v Speaker 2>As you note, two major credit raterers downgraded the firm's

0:18:27.320 --> 0:18:30.680
<v Speaker 2>debt to just a few notches above junk. The chip

0:18:30.720 --> 0:18:34.240
<v Speaker 2>maker also slashing about fifteen thousand jobs. How did this

0:18:34.320 --> 0:18:35.879
<v Speaker 2>story change just in the last month.

0:18:37.520 --> 0:18:40.080
<v Speaker 7>So the process that Intel's going through right now, which

0:18:40.119 --> 0:18:42.879
<v Speaker 7>is the preliminary agreement followed by months of due diligence

0:18:42.920 --> 0:18:45.600
<v Speaker 7>ahead of a final award, was always the process that

0:18:45.640 --> 0:18:48.639
<v Speaker 7>the company was going to go through. But of the

0:18:48.800 --> 0:18:54.480
<v Speaker 7>entire chipsack portfolio, which includes companies like TSMC, Samsung, sk Heinex, Micron,

0:18:55.119 --> 0:18:58.600
<v Speaker 7>Intel has perhaps seen the biggest change in the company

0:18:58.600 --> 0:19:01.760
<v Speaker 7>position in the industry from when that preliminary agreement was

0:19:01.800 --> 0:19:04.080
<v Speaker 7>announced to now. And so we're in a bit of

0:19:04.119 --> 0:19:07.280
<v Speaker 7>a holding pattern. The Biden administration and just about everybody

0:19:07.359 --> 0:19:09.439
<v Speaker 7>else are waiting to see what the company will do,

0:19:09.800 --> 0:19:12.400
<v Speaker 7>and they're set to evaluate options at a mid September

0:19:12.440 --> 0:19:15.879
<v Speaker 7>board meeting. So if the company does something like split

0:19:15.880 --> 0:19:19.719
<v Speaker 7>off its manufacturing division or scale back its global factory plans.

0:19:19.920 --> 0:19:22.000
<v Speaker 7>That could have an impact on its negotiations with the

0:19:22.040 --> 0:19:24.600
<v Speaker 7>Biden administration. And to put a finer point on it,

0:19:25.080 --> 0:19:27.800
<v Speaker 7>if and there is an indication yet that this is happening,

0:19:27.800 --> 0:19:30.680
<v Speaker 7>but if the company does decide to pair back any

0:19:30.680 --> 0:19:34.240
<v Speaker 7>of its US plans specifically, that would almost certainly cause

0:19:34.240 --> 0:19:36.080
<v Speaker 7>a reduction in its overall chip sacked toward.

0:19:37.040 --> 0:19:40.520
<v Speaker 4>I'm wondering, if maybe we can zoom out, just for

0:19:40.640 --> 0:19:45.160
<v Speaker 4>people who are just tuning in now, why has Intel

0:19:45.320 --> 0:19:49.240
<v Speaker 4>not been able to kind of capture that frenzy that

0:19:49.280 --> 0:19:53.919
<v Speaker 4>there is, at least in the market for semiconductors. You

0:19:53.960 --> 0:19:56.000
<v Speaker 4>know in videas the top performing stock in the S

0:19:56.040 --> 0:19:58.160
<v Speaker 4>and P five hundred. It's been a huge theme this year,

0:19:58.359 --> 0:20:01.040
<v Speaker 4>and yet we have Intel, which is a very well

0:20:01.080 --> 0:20:04.600
<v Speaker 4>known name, and it just hasn't been able to ride

0:20:04.640 --> 0:20:06.920
<v Speaker 4>that wave. The stock is down something like sixty percent

0:20:07.280 --> 0:20:09.760
<v Speaker 4>year to date. Just get us up to speed on

0:20:09.880 --> 0:20:11.800
<v Speaker 4>exactly what they're missing.

0:20:13.280 --> 0:20:16.639
<v Speaker 7>So, you know, Intel is an American technological giant. This

0:20:16.760 --> 0:20:19.520
<v Speaker 7>is the company that gave Silicon Valley its name. But

0:20:19.760 --> 0:20:23.160
<v Speaker 7>there have been several years of strategic and technological blunders

0:20:23.200 --> 0:20:26.840
<v Speaker 7>that CEO pat Glsinger came into leadership of the company

0:20:26.880 --> 0:20:29.720
<v Speaker 7>aiming to turn around with a massive bet on Intel's

0:20:29.760 --> 0:20:33.199
<v Speaker 7>factory division for factories that are known as foundries in

0:20:33.400 --> 0:20:37.359
<v Speaker 7>chips peak. But the foundry business has struggled. They posted

0:20:37.359 --> 0:20:40.560
<v Speaker 7>a seven billion dollar loss last year, and they missed

0:20:40.600 --> 0:20:43.639
<v Speaker 7>out on a big AI wave that companies like TSMC

0:20:43.760 --> 0:20:46.480
<v Speaker 7>have been able to ride. And so now Intel is

0:20:46.600 --> 0:20:49.800
<v Speaker 7>sort of playing catch up against foreign competitors and their

0:20:49.840 --> 0:20:54.320
<v Speaker 7>technology still lags several generations behind the cutting edge, and

0:20:54.400 --> 0:20:57.920
<v Speaker 7>they've struggled to convince major other players in the industry,

0:20:58.160 --> 0:21:00.840
<v Speaker 7>who get the bulk of their orders for AI chips

0:21:00.880 --> 0:21:03.919
<v Speaker 7>from the industry leader TSMC, to take a bet on

0:21:03.960 --> 0:21:06.879
<v Speaker 7>their factory processes. So it's a bit of a spiral

0:21:06.920 --> 0:21:10.040
<v Speaker 7>for Intel right now as they're trying to convince investors,

0:21:10.080 --> 0:21:13.480
<v Speaker 7>convince the government, and convince industry that their technology is

0:21:13.480 --> 0:21:15.160
<v Speaker 7>worth taking a bet on McKenzie.

0:21:15.200 --> 0:21:17.360
<v Speaker 2>On the US side of this, the US government side

0:21:17.359 --> 0:21:19.560
<v Speaker 2>of this, the support that Intel was set to get

0:21:19.600 --> 0:21:21.880
<v Speaker 2>from the US government is set to get from the

0:21:22.000 --> 0:21:24.720
<v Speaker 2>US government. What does the US government want to see?

0:21:24.760 --> 0:21:27.639
<v Speaker 2>Is this about jobs? Is about security? Is it about both.

0:21:29.440 --> 0:21:31.879
<v Speaker 7>So if we go thirty thousand foot and look at

0:21:31.880 --> 0:21:35.160
<v Speaker 7>the Chips Act overall, this was a landmark law that

0:21:35.320 --> 0:21:38.680
<v Speaker 7>was that President Joe Biden signed just about two years ago,

0:21:38.720 --> 0:21:41.800
<v Speaker 7>two years ago last month, and the goal is basically

0:21:41.920 --> 0:21:45.560
<v Speaker 7>to bring manufacturing of these critical electronic components back to

0:21:45.600 --> 0:21:48.159
<v Speaker 7>the US. Chips are in everything you could think of,

0:21:48.280 --> 0:21:51.159
<v Speaker 7>from a microwave to a phone to a nuclear missile,

0:21:51.600 --> 0:21:55.800
<v Speaker 7>and for decades the US has ceded manufacturing leadership to Asia.

0:21:56.480 --> 0:22:00.040
<v Speaker 7>The pandemic revealed to everybody how important ships are. It

0:22:00.119 --> 0:22:03.640
<v Speaker 7>was a shortage of even less advanced chips that caused

0:22:03.760 --> 0:22:07.520
<v Speaker 7>auto supply lines to shut down during COVID, and governments

0:22:07.520 --> 0:22:10.080
<v Speaker 7>around the world, not just the US, but from the

0:22:10.119 --> 0:22:12.840
<v Speaker 7>EU to South Korea, to Japan, to Taiwan to of

0:22:12.840 --> 0:22:15.840
<v Speaker 7>course China has decades of industrial policy in this area

0:22:16.640 --> 0:22:18.840
<v Speaker 7>are really doubling down and trying to make sure that

0:22:18.880 --> 0:22:22.560
<v Speaker 7>they have a stable and secure domestic manufacturing base for

0:22:22.640 --> 0:22:26.600
<v Speaker 7>both economic and national security. The jobs, of course, are

0:22:26.640 --> 0:22:29.240
<v Speaker 7>an added bonus, but this isn't a jobs program. The

0:22:29.280 --> 0:22:31.919
<v Speaker 7>goal is to get the world's top chip makers, and

0:22:31.960 --> 0:22:35.200
<v Speaker 7>the US has gotten commitments from all of them, including Intel,

0:22:35.680 --> 0:22:39.159
<v Speaker 7>to build significant manufacturing presence on US soil so that

0:22:39.200 --> 0:22:41.040
<v Speaker 7>the country can make a fifth of the world's most

0:22:41.040 --> 0:22:42.919
<v Speaker 7>advanced processors by the end of the decade.

0:22:43.040 --> 0:22:44.960
<v Speaker 2>But you say, you write in your piece that this

0:22:45.040 --> 0:22:46.639
<v Speaker 2>is a long process. I mean you go back to

0:22:46.680 --> 0:22:49.280
<v Speaker 2>the Obama administration and Intel was talking with the Obama

0:22:49.320 --> 0:22:52.120
<v Speaker 2>administration for something that they ended up building and touting

0:22:52.520 --> 0:22:54.000
<v Speaker 2>during the Trump administration.

0:22:55.960 --> 0:22:58.960
<v Speaker 7>That's right. And you know, one of the big difficulties

0:22:59.000 --> 0:23:01.560
<v Speaker 7>facing the bidening minist is you know, they're looking at

0:23:01.640 --> 0:23:04.679
<v Speaker 7>point in time company financials and market conditions. But this

0:23:04.800 --> 0:23:08.800
<v Speaker 7>is an intensely cyclical industry. And as much as companies

0:23:08.800 --> 0:23:11.480
<v Speaker 7>would like to make promises to politicians, you know, they'd

0:23:11.480 --> 0:23:14.320
<v Speaker 7>love to stand with Biden at a bill signing or

0:23:14.359 --> 0:23:16.720
<v Speaker 7>go to the Oval Office, the reality is that they're

0:23:16.760 --> 0:23:19.480
<v Speaker 7>beholden to their shareholders and to their customers. And so

0:23:19.520 --> 0:23:21.919
<v Speaker 7>you have a strategy employed not just by Intel but

0:23:21.960 --> 0:23:25.440
<v Speaker 7>by other major companies as well, to build factory shells,

0:23:25.960 --> 0:23:28.200
<v Speaker 7>do what has cost billions of dollars but is actually

0:23:28.280 --> 0:23:31.000
<v Speaker 7>the cheap part of the process, and only outfit them

0:23:31.000 --> 0:23:34.480
<v Speaker 7>with actual equipment when they can see, you know, six

0:23:34.520 --> 0:23:36.639
<v Speaker 7>months down the line, nine months down the line, exactly

0:23:36.720 --> 0:23:39.280
<v Speaker 7>what their demand picture is going to look like. And

0:23:39.320 --> 0:23:41.600
<v Speaker 7>so right now you're starting to see a lot of

0:23:41.600 --> 0:23:43.560
<v Speaker 7>the signs that you would want to see if the

0:23:43.600 --> 0:23:46.320
<v Speaker 7>country were going to meet it's, you know, a decade

0:23:46.400 --> 0:23:48.680
<v Speaker 7>end goal of making all of these chips at home,

0:23:49.440 --> 0:23:52.880
<v Speaker 7>but that's in factory construction, not in actual equipment purchases,

0:23:52.920 --> 0:23:54.639
<v Speaker 7>and so there are a lot of other indicators to

0:23:54.720 --> 0:23:57.679
<v Speaker 7>watch to see whether companies will actually make good on

0:23:57.920 --> 0:24:00.840
<v Speaker 7>their production plans in the times that they have set

0:24:00.840 --> 0:24:01.880
<v Speaker 7>out with the administration.

0:24:02.800 --> 0:24:04.879
<v Speaker 4>I wanted to talk about that timeline. What do we

0:24:05.000 --> 0:24:08.560
<v Speaker 4>know about what's next for Intel and how much time

0:24:08.600 --> 0:24:10.959
<v Speaker 4>they do have before they would be set to receive

0:24:11.240 --> 0:24:12.800
<v Speaker 4>those billions of dollars in grants.

0:24:14.760 --> 0:24:17.240
<v Speaker 7>Intel would love to know the answer to that question.

0:24:17.720 --> 0:24:21.240
<v Speaker 7>Very active negotiation. You know, there are companies that are

0:24:21.359 --> 0:24:24.520
<v Speaker 7>quite close, but we haven't actually seen any chipsacked money

0:24:24.520 --> 0:24:26.840
<v Speaker 7>go out the door. All of the announcements of which

0:24:26.840 --> 0:24:29.480
<v Speaker 7>there are more than thirty billion dollars committed, have been

0:24:29.480 --> 0:24:31.800
<v Speaker 7>in the form of these preliminary agreements like the one

0:24:31.800 --> 0:24:34.879
<v Speaker 7>that I described Biden announcing for Intel in March, and

0:24:34.920 --> 0:24:37.240
<v Speaker 7>so all of the companies are going through due diligence,

0:24:38.040 --> 0:24:41.080
<v Speaker 7>actively hashing out the specific dollars and cents that are

0:24:41.080 --> 0:24:45.560
<v Speaker 7>correlated with you know, X production, milestone, X customer commitment,

0:24:46.040 --> 0:24:49.080
<v Speaker 7>and it's you know, a very company by company basis.

0:24:49.160 --> 0:24:52.239
<v Speaker 7>And so really what Intel is feeling right now is

0:24:52.280 --> 0:24:54.680
<v Speaker 7>not necessarily like, oh, we're worried our chips ACKed award

0:24:54.720 --> 0:24:57.120
<v Speaker 7>is going away. That would only happen if their US

0:24:57.240 --> 0:24:59.879
<v Speaker 7>factories went the way, and Intel hasn't made any decision

0:25:00.080 --> 0:25:03.520
<v Speaker 7>that effect. But it's about the timing. Intel has a

0:25:03.600 --> 0:25:06.200
<v Speaker 7>balance sheet that's in pretty dire straits and they want

0:25:06.240 --> 0:25:08.719
<v Speaker 7>to get this money as quickly as possible. But that'll

0:25:08.720 --> 0:25:11.960
<v Speaker 7>only happen if they cooperate with due diligence. They have

0:25:12.080 --> 0:25:15.159
<v Speaker 7>resisted some requests from the Biden administration so far, and

0:25:15.280 --> 0:25:17.600
<v Speaker 7>of course if they actually get their factories off the ground,

0:25:17.640 --> 0:25:20.440
<v Speaker 7>which requires the company to invest billions of dollars itself.

0:25:20.840 --> 0:25:25.120
<v Speaker 2>To what extent does the US government need Intel to succeed?

0:25:25.560 --> 0:25:27.639
<v Speaker 2>I'm not asking if it's like too big to fail,

0:25:27.680 --> 0:25:29.200
<v Speaker 2>but is it too important to fail?

0:25:31.240 --> 0:25:34.479
<v Speaker 7>Intel's crucial to the Overall Ships Act effort. There are

0:25:34.520 --> 0:25:37.920
<v Speaker 7>only three companies that make the types of advanced processors

0:25:37.920 --> 0:25:40.439
<v Speaker 7>that the US is really really focused on in this effort,

0:25:40.480 --> 0:25:43.960
<v Speaker 7>and that's Intel, Samsung, and TSMC, and both of the

0:25:44.040 --> 0:25:47.479
<v Speaker 7>latter companies are building factories on US soil. But to

0:25:47.520 --> 0:25:50.480
<v Speaker 7>get to a fifth of the world's production, especially when

0:25:50.520 --> 0:25:53.320
<v Speaker 7>governments around the globe are trying to do the same thing,

0:25:53.760 --> 0:25:56.480
<v Speaker 7>you really need these large scale commitments like the ones

0:25:56.480 --> 0:25:59.479
<v Speaker 7>that Intel is making. I mean, they're planning multiple fabs

0:25:59.520 --> 0:26:03.359
<v Speaker 7>in Ohio and multiple fab expansions in Arizona. So to

0:26:03.560 --> 0:26:06.200
<v Speaker 7>potentially lose those projects or to see them delayed, which

0:26:06.200 --> 0:26:08.159
<v Speaker 7>again we don't really know what's going to happen on

0:26:08.160 --> 0:26:10.439
<v Speaker 7>that front, would be a pretty massive blow to the

0:26:10.480 --> 0:26:13.440
<v Speaker 7>overall ambition of the program. And tells also the only

0:26:13.480 --> 0:26:16.760
<v Speaker 7>American maker of these chips, which the Pentagon has decided

0:26:16.800 --> 0:26:19.560
<v Speaker 7>as really crucial for Department of Defense supply chains. And

0:26:19.600 --> 0:26:22.480
<v Speaker 7>it tells the sole intended beneficiary of a three and

0:26:22.480 --> 0:26:25.360
<v Speaker 7>a half billion dollar program to stand up a secure

0:26:25.400 --> 0:26:30.040
<v Speaker 7>facility to make semiconductors for military and intelligence purposes. So

0:26:30.200 --> 0:26:33.360
<v Speaker 7>will the Chips Act fail if Intel fails? No, there

0:26:33.400 --> 0:26:35.800
<v Speaker 7>are hundreds of companies that were interested in the money.

0:26:35.880 --> 0:26:38.760
<v Speaker 7>More than a dozen awards have already been announced, but

0:26:39.320 --> 0:26:43.320
<v Speaker 7>it's impossible to overstate how critical Intel's investments are to

0:26:43.560 --> 0:26:46.480
<v Speaker 7>not just the company's turnaround plan, but also the Biden

0:26:46.520 --> 0:26:47.480
<v Speaker 7>administration's goals.

0:26:47.560 --> 0:26:51.240
<v Speaker 2>Mackenzie Hawkins, Bloomberg News US Economic and Industrial Policy reporter.

0:26:52.800 --> 0:26:56.640
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:26:56.760 --> 0:26:59.560
<v Speaker 1>each weekday. He's starting a two pm Eastern on Applecar

0:26:59.680 --> 0:27:02.840
<v Speaker 1>Play Android Auto with the Bloomberg Business Ad. You can

0:27:02.880 --> 0:27:06.119
<v Speaker 1>also listen live on Amazon Alexa from our flagship New

0:27:06.160 --> 0:27:09.040
<v Speaker 1>York station Just say Alexa Play Bloomberg.

0:27:09.080 --> 0:27:13.119
<v Speaker 2>Eleven thirty data centers and transmission networks each account for

0:27:13.200 --> 0:27:15.920
<v Speaker 2>up to one point five percent of global consumption. That's

0:27:15.920 --> 0:27:20.600
<v Speaker 2>according to the International Energy Agency. Together, they're responsible for

0:27:20.640 --> 0:27:25.960
<v Speaker 2>emitting about as much carbon dioxide as Brazil annually. So

0:27:26.000 --> 0:27:28.480
<v Speaker 2>over the summer, we learn the new data center's plan

0:27:28.520 --> 0:27:30.560
<v Speaker 2>for Silicon Valley of the potential that a three point

0:27:30.560 --> 0:27:34.320
<v Speaker 2>five gigawatts of demand for electricity. This, according to PGNE,

0:27:34.720 --> 0:27:37.919
<v Speaker 2>it's more than the output of three nuclear power plants. Emily.

0:27:37.960 --> 0:27:40.840
<v Speaker 2>Needless to say, all of this computing power is using

0:27:41.040 --> 0:27:43.879
<v Speaker 2>a lot of energy. Josh Patterson is trying to do

0:27:43.960 --> 0:27:46.639
<v Speaker 2>more with less at Voltron Data, where he's CEO and

0:27:46.680 --> 0:27:50.240
<v Speaker 2>co founder. It's an analytics software startup backed by firms

0:27:50.240 --> 0:27:54.480
<v Speaker 2>including black Rock, Alphabet's GV light Speed, and more. Josh

0:27:54.520 --> 0:27:57.399
<v Speaker 2>joins us from Charleston, South Carolina. Josh, good to have

0:27:57.520 --> 0:27:59.920
<v Speaker 2>you with us. Welcome to Bloomberg BusinessWeek. You are adding

0:28:00.119 --> 0:28:04.000
<v Speaker 2>VideA for about four years before you co founded Vultron Data.

0:28:04.680 --> 0:28:07.479
<v Speaker 2>What was the problem that you saw when you were

0:28:07.480 --> 0:28:09.800
<v Speaker 2>at Invidia that you set out to solve?

0:28:11.680 --> 0:28:12.240
<v Speaker 8>Absolutely?

0:28:12.800 --> 0:28:18.040
<v Speaker 9>At Nvidia, I joined specifically to drive GPU acceleration in

0:28:18.160 --> 0:28:22.160
<v Speaker 9>data analytics. Prior to in Nvidia, I was at Accenture

0:28:22.160 --> 0:28:25.400
<v Speaker 9>Tech Labs and we were working on cybersecurity challenges and

0:28:25.440 --> 0:28:30.080
<v Speaker 9>what we realized is we had the algorithmic and systems

0:28:30.119 --> 0:28:34.520
<v Speaker 9>technology to solve really large scale threat detection, but it

0:28:34.560 --> 0:28:40.400
<v Speaker 9>was preheitively expensive moving you know, parts of the software

0:28:40.440 --> 0:28:45.160
<v Speaker 9>stack to in video. GPUs allowed us to shrink different

0:28:45.200 --> 0:28:48.320
<v Speaker 9>parts of it down tremendously, moving from forty servers to

0:28:48.360 --> 0:28:52.520
<v Speaker 9>a single server and being much more energy efficient and faster,

0:28:52.680 --> 0:28:56.600
<v Speaker 9>moving you know, graph analytics from thirty minutes to thirty seconds.

0:28:56.640 --> 0:28:59.960
<v Speaker 9>And so after that we really caught this this bug.

0:29:00.120 --> 0:29:03.680
<v Speaker 9>How can we gp you accelerate all of data analytics

0:29:03.760 --> 0:29:06.840
<v Speaker 9>how can we help bring GPUs and data systems. And

0:29:06.840 --> 0:29:10.120
<v Speaker 9>that's what I joined in video for there, I created

0:29:10.200 --> 0:29:15.240
<v Speaker 9>the rapids dot AI ecosystem. It's all the modular and

0:29:15.240 --> 0:29:19.480
<v Speaker 9>composed of building blocks for building software for data analytics,

0:29:19.680 --> 0:29:21.600
<v Speaker 9>machine learning, graph analytics, et cetera.

0:29:22.400 --> 0:29:23.880
<v Speaker 8>In video GPUs.

0:29:24.960 --> 0:29:27.280
<v Speaker 9>And our whole goal was data is going to keep growing,

0:29:27.560 --> 0:29:29.080
<v Speaker 9>and so we know we have to be able to

0:29:29.120 --> 0:29:32.680
<v Speaker 9>analyze that data faster, cheaper and with less energy.

0:29:33.680 --> 0:29:37.120
<v Speaker 4>Okay, so help us understand maybe in I mean I

0:29:37.160 --> 0:29:42.040
<v Speaker 4>get it. Come on, maybe simple terms. If you have

0:29:42.120 --> 0:29:46.120
<v Speaker 4>to explain this to you know, someone your elevator pitch,

0:29:46.240 --> 0:29:50.120
<v Speaker 4>or you know, explaining this to your grandma, what exactly

0:29:50.200 --> 0:29:55.080
<v Speaker 4>is a GPU and what exactly is voltron? I guess

0:29:55.160 --> 0:30:00.000
<v Speaker 4>producing here that is reducing the energy consumption that these

0:30:00.040 --> 0:30:02.600
<v Speaker 4>big data centers take.

0:30:02.840 --> 0:30:05.640
<v Speaker 9>It absolutely, you know, and so the first thing I

0:30:05.680 --> 0:30:07.240
<v Speaker 9>would do is always do it. You know, kind of

0:30:07.320 --> 0:30:10.320
<v Speaker 9>an analogy. We we know for a fact that in

0:30:10.440 --> 0:30:14.120
<v Speaker 9>video GPUs are the leaders in AI. AI would be

0:30:14.320 --> 0:30:17.479
<v Speaker 9>you know, prohibitively expensive, It would be borderline impossible without

0:30:17.520 --> 0:30:20.640
<v Speaker 9>the innovation. Uh, you know, from B one hundred to

0:30:20.680 --> 0:30:22.520
<v Speaker 9>A one hundred h one hundred and now the B

0:30:22.560 --> 0:30:26.479
<v Speaker 9>one hundreds coming out soon. And you know, GPUs are

0:30:26.560 --> 0:30:31.000
<v Speaker 9>essentially these multi core chifts that allow you to do

0:30:31.400 --> 0:30:35.320
<v Speaker 9>parallel data processing a lot faster, a lot more energy efficient,

0:30:36.200 --> 0:30:39.600
<v Speaker 9>and it's been the building blocks of graphics, high performance computing,

0:30:40.160 --> 0:30:42.840
<v Speaker 9>autonomous vehicles and ai as.

0:30:42.840 --> 0:30:43.280
<v Speaker 8>We all know.

0:30:44.040 --> 0:30:46.200
<v Speaker 9>What we're doing is we're taking that exact same speed

0:30:46.280 --> 0:30:49.280
<v Speaker 9>up and we're applying it to databases. And when you

0:30:49.320 --> 0:30:51.880
<v Speaker 9>think about a database, it has three layers. You have

0:30:52.280 --> 0:30:54.880
<v Speaker 9>how you store data, how you manage data, how you

0:30:54.920 --> 0:30:57.840
<v Speaker 9>actually do compute on the data, and then how you

0:30:57.920 --> 0:31:01.360
<v Speaker 9>talk to that data system, your ap eyes, how do

0:31:01.360 --> 0:31:03.640
<v Speaker 9>you send instructions and so what we do at Voltron

0:31:03.720 --> 0:31:08.640
<v Speaker 9>Data that is pretty unique is we run that database compute.

0:31:08.800 --> 0:31:11.240
<v Speaker 9>So not the data warehousing, not how you store data,

0:31:11.240 --> 0:31:15.160
<v Speaker 9>and not how you index and sort data, but the

0:31:15.320 --> 0:31:18.480
<v Speaker 9>actual how do you join tables together, how you do

0:31:18.560 --> 0:31:20.880
<v Speaker 9>group Yes, think about all the things that you do.

0:31:20.800 --> 0:31:23.680
<v Speaker 8>In Excel, but just at a much much larger level.

0:31:23.760 --> 0:31:26.880
<v Speaker 9>Instead of you know, megabytes of data, we're talking about

0:31:27.080 --> 0:31:30.560
<v Speaker 9>terabytes of data, and we do that running on in

0:31:30.640 --> 0:31:35.920
<v Speaker 9>video GPUs. We primarily focus on that middle layer that's

0:31:36.080 --> 0:31:38.760
<v Speaker 9>just the compute, and we allow people to bring their

0:31:38.760 --> 0:31:42.480
<v Speaker 9>own APIs to our engine, and that allows that integration

0:31:42.560 --> 0:31:44.320
<v Speaker 9>to be a lot faster and more seamless. And so

0:31:44.400 --> 0:31:46.280
<v Speaker 9>whether you're using you know, one of the myriad of

0:31:46.280 --> 0:31:50.240
<v Speaker 9>SQL dialects, a Python data frame API, a Java data

0:31:50.280 --> 0:31:53.600
<v Speaker 9>frame API like Spark, you can send your existing code

0:31:53.920 --> 0:31:56.920
<v Speaker 9>to our query engine that then grabs data from your

0:31:57.000 --> 0:32:01.560
<v Speaker 9>data lake and analyzes that data really really fast. And

0:32:01.640 --> 0:32:04.480
<v Speaker 9>so you know, essentially we can take workloads that used

0:32:04.480 --> 0:32:06.600
<v Speaker 9>to take two hundred servers and we can run them

0:32:06.640 --> 0:32:10.080
<v Speaker 9>on two servers and it's faster, and that's how we

0:32:10.120 --> 0:32:12.960
<v Speaker 9>get to these you know pretty you know, amazing energy

0:32:13.000 --> 0:32:14.840
<v Speaker 9>reductions today.

0:32:15.080 --> 0:32:18.080
<v Speaker 2>Where are the servers that you're running these queries.

0:32:17.720 --> 0:32:22.560
<v Speaker 9>On, both in the cloud and on premise. We have

0:32:22.640 --> 0:32:28.680
<v Speaker 9>customers who do air gap on premise installations. So think about, uh,

0:32:29.200 --> 0:32:32.360
<v Speaker 9>you know, your Department of Defense and your intelligence community

0:32:32.360 --> 0:32:35.720
<v Speaker 9>agencies as well as you know, high frequency trading firms

0:32:35.720 --> 0:32:38.200
<v Speaker 9>where you know, for a myriad of privacy reasons, they

0:32:38.240 --> 0:32:41.719
<v Speaker 9>don't want you know, their data centers having free access

0:32:41.720 --> 0:32:45.000
<v Speaker 9>to the Internet. Traditional data centers that you would find

0:32:45.040 --> 0:32:50.080
<v Speaker 9>in you know, Fortune five hundred organizations, your top banks, retailers,

0:32:50.080 --> 0:32:52.560
<v Speaker 9>et cetera, as well as in the cloud, and so

0:32:52.600 --> 0:32:55.440
<v Speaker 9>we can run our software across all major clouds.

0:32:55.760 --> 0:32:57.680
<v Speaker 8>The only prerequisite.

0:32:57.040 --> 0:32:59.920
<v Speaker 9>Is in video GPUs that is the backbone of what

0:33:01.000 --> 0:33:04.239
<v Speaker 9>theseus runs on. And then from a from a kind

0:33:04.280 --> 0:33:06.840
<v Speaker 9>of a big data how do you schedule and orchestrate it.

0:33:07.280 --> 0:33:09.720
<v Speaker 9>We use Kubernetes, which is, you know, the foundations of

0:33:09.760 --> 0:33:13.320
<v Speaker 9>cloud native technology. So we're we're cloud native and we're

0:33:13.480 --> 0:33:16.440
<v Speaker 9>accelerated native. We're built from the ground up to fully

0:33:16.560 --> 0:33:20.240
<v Speaker 9>leverage in video GPUs, accelerated networking and storage.

0:33:21.320 --> 0:33:25.520
<v Speaker 4>So how's business so far? What kind of customers do

0:33:25.640 --> 0:33:28.080
<v Speaker 4>you have? And have you seen I guess an increase

0:33:28.120 --> 0:33:30.040
<v Speaker 4>in them because I know you're a new company.

0:33:31.000 --> 0:33:31.840
<v Speaker 8>We're a new company.

0:33:31.920 --> 0:33:33.720
<v Speaker 9>We were found in twenty twenty one, but we didn't

0:33:33.760 --> 0:33:38.720
<v Speaker 9>really launch theseus until this March at Nvidia GtC and

0:33:38.720 --> 0:33:41.479
<v Speaker 9>that's where we release our benchmarks showing that we can

0:33:41.520 --> 0:33:44.240
<v Speaker 9>scale to hundreds of terabytes of data with you know,

0:33:44.320 --> 0:33:45.760
<v Speaker 9>single digit number of servers.

0:33:47.440 --> 0:33:48.720
<v Speaker 8>You know, business is doing well.

0:33:48.760 --> 0:33:55.040
<v Speaker 9>We've we've we've signed some really great deals with a

0:33:55.040 --> 0:34:00.320
<v Speaker 9>few of the intelligence agencies, a very large commercial bank,

0:34:00.760 --> 0:34:03.480
<v Speaker 9>one of your fortune one hundred, uh, you know, top

0:34:03.520 --> 0:34:07.840
<v Speaker 9>five banks, and we also have about a dozen customers

0:34:08.200 --> 0:34:11.560
<v Speaker 9>that we're doing enterprise support and advisory for around open

0:34:11.600 --> 0:34:15.040
<v Speaker 9>soare software and so think about your you know, your

0:34:15.080 --> 0:34:21.080
<v Speaker 9>high frequency trading firms, Snowflake UH and others or customers

0:34:21.080 --> 0:34:23.200
<v Speaker 9>of our enterprise support and these two things work very

0:34:23.640 --> 0:34:27.439
<v Speaker 9>graciously together. So, first, we help people use existing open

0:34:27.440 --> 0:34:31.200
<v Speaker 9>source software as efficiently as possible, and that is things

0:34:31.239 --> 0:34:34.880
<v Speaker 9>like Apache, Arrow and IBS and substrate and park and

0:34:34.920 --> 0:34:36.799
<v Speaker 9>so they can build these better data lakes, they can

0:34:37.000 --> 0:34:40.799
<v Speaker 9>build interoperability, they can have these you know, more UH.

0:34:40.800 --> 0:34:43.480
<v Speaker 8>Efficient composable systems. But it also.

0:34:43.280 --> 0:34:46.960
<v Speaker 9>Allows them to more graciously upgrade to these cheap accelerated

0:34:47.040 --> 0:34:50.800
<v Speaker 9>query engines when they're ready. And so both sides of

0:34:51.160 --> 0:34:54.920
<v Speaker 9>our business really is revolving around how do people do

0:34:55.000 --> 0:34:56.960
<v Speaker 9>more with less? How do they you know, continue to

0:34:57.040 --> 0:35:00.000
<v Speaker 9>use their existing code, how can they leverage best practices?

0:35:00.120 --> 0:35:03.360
<v Speaker 9>Is an open source to drive enterprise value today?

0:35:03.920 --> 0:35:06.560
<v Speaker 2>Josh, your company you're based in South Carolina? Is your

0:35:06.560 --> 0:35:07.640
<v Speaker 2>company in South Carolina?

0:35:08.920 --> 0:35:10.680
<v Speaker 8>We are fully geographically distributed.

0:35:11.520 --> 0:35:16.200
<v Speaker 9>We have engineers from Japan to Australia the long way,

0:35:17.880 --> 0:35:20.400
<v Speaker 9>probably about two thirds in the US, one third global,

0:35:20.920 --> 0:35:25.160
<v Speaker 9>and you know pretty distributed across the US.

0:35:25.239 --> 0:35:26.759
<v Speaker 2>Is that pretty high con Do you see that as

0:35:26.760 --> 0:35:28.879
<v Speaker 2>an advantage? I mean, when we talk about companies such

0:35:28.880 --> 0:35:31.680
<v Speaker 2>as your Silicon Valley is the geographic location that certainly

0:35:31.760 --> 0:35:33.680
<v Speaker 2>comes to mind for for a lot of these companies.

0:35:35.520 --> 0:35:38.239
<v Speaker 9>You know, So when our company was was born, it

0:35:38.280 --> 0:35:39.880
<v Speaker 9>was born out of a kind of an amalgamation of

0:35:40.160 --> 0:35:43.799
<v Speaker 9>some of the world's best talent in hardware engineering, software engineering,

0:35:44.680 --> 0:35:48.319
<v Speaker 9>database design, high performance computing as well as you know

0:35:48.360 --> 0:35:53.239
<v Speaker 9>in video GPU know how, and that talent is very rare,

0:35:53.360 --> 0:35:56.120
<v Speaker 9>and so if we wanted to move everyone to one place,

0:35:56.160 --> 0:35:58.360
<v Speaker 9>it would have been you know, it would have been expensive.

0:35:58.440 --> 0:36:01.560
<v Speaker 9>And so this was one of the ways that we

0:36:01.560 --> 0:36:05.600
<v Speaker 9>we could really keep our costs as low as possible

0:36:05.640 --> 0:36:10.000
<v Speaker 9>while building the world's best engineering team and allowed us

0:36:10.000 --> 0:36:12.600
<v Speaker 9>to build this really amazing engine I would say, faster

0:36:12.800 --> 0:36:18.400
<v Speaker 9>and more capital efficiently than you know, ever before Historically typically,

0:36:18.600 --> 0:36:20.879
<v Speaker 9>you know, people spend four to five times as much

0:36:20.920 --> 0:36:24.720
<v Speaker 9>building a data system than we did. And that's really

0:36:24.760 --> 0:36:27.399
<v Speaker 9>because you know, even from our time in and video,

0:36:27.400 --> 0:36:31.600
<v Speaker 9>we were geographically distributed some of our leadership team, and

0:36:31.640 --> 0:36:34.560
<v Speaker 9>we've been you know, fully remote, probably some of us

0:36:34.560 --> 0:36:38.520
<v Speaker 9>since twenty sixteen, so even pre COVID, and so this

0:36:38.719 --> 0:36:41.000
<v Speaker 9>was a working model that we were very used to.

0:36:41.280 --> 0:36:43.719
<v Speaker 9>Is very common in open source, and we leverage you

0:36:43.719 --> 0:36:44.400
<v Speaker 9>to our advantage.

0:36:44.560 --> 0:36:46.920
<v Speaker 2>Josh, come back and visit us again. Really appreciate you

0:36:46.960 --> 0:36:50.200
<v Speaker 2>joining us. Josh Patterson. He is co founder and CEO

0:36:50.600 --> 0:36:57.040
<v Speaker 2>at Voltron Data, a journal.

0:36:58.080 --> 0:37:03.280
<v Speaker 6>Now about you let me drive Oh no, alright, please,

0:37:03.400 --> 0:37:03.640
<v Speaker 6>I'll do.

0:37:05.920 --> 0:37:06.800
<v Speaker 5>I want to.

0:37:08.920 --> 0:37:09.800
<v Speaker 8>It's good question.

0:37:13.600 --> 0:37:20.040
<v Speaker 1>This is the Drive to the Clothes on Bloomberg Radio.

0:37:21.800 --> 0:37:23.680
<v Speaker 4>All right, it's time for Drive to the Clothes with

0:37:23.719 --> 0:37:27.799
<v Speaker 4>Thomas Raymond, investment management partner at Callan Family Office. He

0:37:27.880 --> 0:37:31.080
<v Speaker 4>joins us here in the Bloomberg Interactive Brokers studio. Welcome,

0:37:31.160 --> 0:37:34.200
<v Speaker 4>thank you for joining us. For me, so in video

0:37:34.320 --> 0:37:36.799
<v Speaker 4>was down today, but the notes that you sent us

0:37:36.800 --> 0:37:39.080
<v Speaker 4>had a lot to do with AI. Where exactly you're

0:37:39.080 --> 0:37:41.160
<v Speaker 4>seeing opportunities in that part of the market.

0:37:41.440 --> 0:37:44.680
<v Speaker 5>Yeah, well, first off, perspective matters a great deal when

0:37:44.680 --> 0:37:46.120
<v Speaker 5>the markets are chopping like this and you have a

0:37:46.200 --> 0:37:49.319
<v Speaker 5>cell off, especially with the magnitude of Navidia's declined the

0:37:49.320 --> 0:37:53.360
<v Speaker 5>other day. But Navidia is not another Netscape. There is

0:37:53.400 --> 0:37:56.239
<v Speaker 5>a clear difference between that company and what we saw

0:37:56.280 --> 0:37:58.279
<v Speaker 5>in the tech craise and the tech bubble, all right,

0:37:58.320 --> 0:38:01.120
<v Speaker 5>I mean the earnings in revenue numbers that we've seen

0:38:01.360 --> 0:38:03.759
<v Speaker 5>are one hundred percent growth year every year. It's not

0:38:03.840 --> 0:38:06.000
<v Speaker 5>the same, right, so kind of put everyone's mind at ease.

0:38:06.040 --> 0:38:08.920
<v Speaker 5>It is not the same. But what we are seeing.

0:38:09.160 --> 0:38:12.680
<v Speaker 5>One of the the theories that we've kind of had

0:38:12.880 --> 0:38:15.920
<v Speaker 5>was that there's going to be a shift from AI

0:38:16.280 --> 0:38:20.799
<v Speaker 5>producer to AI consumer and various benefits from that, and

0:38:20.800 --> 0:38:24.120
<v Speaker 5>that could unlock a huge productivity innovation wave.

0:38:24.440 --> 0:38:26.640
<v Speaker 2>Where we are we seeing that yet with S and

0:38:26.640 --> 0:38:29.240
<v Speaker 2>P favend companies. I mean every quarter, I'm like listening

0:38:29.280 --> 0:38:32.439
<v Speaker 2>on these calls to hear about how a company that's

0:38:32.480 --> 0:38:37.600
<v Speaker 2>not an Nvidia, for example, that's not actually producing the

0:38:37.920 --> 0:38:42.000
<v Speaker 2>products or you know, building the services, that is doing

0:38:42.000 --> 0:38:45.759
<v Speaker 2>this analysis, are actually using these tools to improve their

0:38:45.760 --> 0:38:46.480
<v Speaker 2>bottom line.

0:38:46.920 --> 0:38:50.720
<v Speaker 5>Yes, you are in some unlikely places. Okay, so Walmart,

0:38:50.840 --> 0:38:53.280
<v Speaker 5>let me give you an example. Walmart is not typically

0:38:53.280 --> 0:38:56.600
<v Speaker 5>considered a tech company, but you look at what they said,

0:38:56.760 --> 0:39:00.120
<v Speaker 5>their CEO said in their most recent earnings announcement, by

0:39:00.160 --> 0:39:03.359
<v Speaker 5>the way, they outperformed on an earnings basis. They said

0:39:03.360 --> 0:39:06.400
<v Speaker 5>that they were able to catalog eight hundred and fifty

0:39:06.560 --> 0:39:09.080
<v Speaker 5>million of their items through the use of large language

0:39:09.080 --> 0:39:12.200
<v Speaker 5>models AI. It would have taken them one hundred times

0:39:12.320 --> 0:39:14.880
<v Speaker 5>their workforce to replicate that work in just a fraction

0:39:14.960 --> 0:39:17.840
<v Speaker 5>of a time. That's just one example. That is Walmart.

0:39:18.320 --> 0:39:20.800
<v Speaker 5>Visa was another one. A couple of years ago. They

0:39:20.960 --> 0:39:24.160
<v Speaker 5>saved twenty five billion in fraud detection from the use

0:39:24.200 --> 0:39:27.080
<v Speaker 5>of AI. There are a lot of examples out there

0:39:27.120 --> 0:39:30.200
<v Speaker 5>of companies they don't think are tech companies, but man,

0:39:30.239 --> 0:39:32.160
<v Speaker 5>they start to look like them, and there is this

0:39:32.239 --> 0:39:35.600
<v Speaker 5>push to be more asset light and more clear evidence

0:39:35.640 --> 0:39:39.840
<v Speaker 5>of this is earnings growth. Right in the first quarter,

0:39:40.360 --> 0:39:43.879
<v Speaker 5>the MAG seven names at earnings growth of just those

0:39:43.880 --> 0:39:46.759
<v Speaker 5>seven companies of fifty percent plus earnings growth year. Youer

0:39:46.800 --> 0:39:49.239
<v Speaker 5>the rest the other four hundred and ninety three companies

0:39:49.680 --> 0:39:52.880
<v Speaker 5>down two percent. In the second quarter, there's been a convergence,

0:39:52.880 --> 0:39:56.279
<v Speaker 5>there's been a normalization of the earnings growth from the

0:39:56.320 --> 0:39:58.400
<v Speaker 5>MAG seven names and growth on the bottom line. The

0:39:58.800 --> 0:40:01.560
<v Speaker 5>number of the delta now is a twenty some odd

0:40:01.560 --> 0:40:04.239
<v Speaker 5>percent because the MAG seven areas growth came down, but

0:40:04.280 --> 0:40:06.120
<v Speaker 5>the rest of there's other's other feign or ninety three

0:40:06.160 --> 0:40:09.040
<v Speaker 5>companies started to go up. So it is an earning story. Right,

0:40:09.080 --> 0:40:11.359
<v Speaker 5>the cost savings that you get immediately cruise to your

0:40:11.360 --> 0:40:13.439
<v Speaker 5>bottom line when you embrace these you know, embrace AI.

0:40:13.719 --> 0:40:16.560
<v Speaker 4>So where does that leave big tech then, because you're

0:40:16.560 --> 0:40:20.959
<v Speaker 4>still seeing a big appetite to buy those apples, Alphabets,

0:40:21.120 --> 0:40:24.160
<v Speaker 4>Microsofts and when you look at you know how much

0:40:24.200 --> 0:40:27.359
<v Speaker 4>of Nvidia's customer bases those companies, they do make up

0:40:27.360 --> 0:40:30.840
<v Speaker 4>a large portion. So do you hold do you sell

0:40:30.880 --> 0:40:32.319
<v Speaker 4>that area?

0:40:32.520 --> 0:40:37.279
<v Speaker 5>Well, there's time. Horizon is the controlling factor in this

0:40:37.719 --> 0:40:41.840
<v Speaker 5>right for those that have the ability to embrace the

0:40:41.880 --> 0:40:45.000
<v Speaker 5>volatility along the way tech is just it's not going away.

0:40:45.080 --> 0:40:47.600
<v Speaker 5>It will be a bumpy ride. But let's just fast

0:40:47.640 --> 0:40:50.080
<v Speaker 5>forward into a couple of years and all these upstream

0:40:50.120 --> 0:40:53.160
<v Speaker 5>effects from AI. Take the ROBOTAXI. We're here in New York.

0:40:53.440 --> 0:40:55.879
<v Speaker 5>I don't see any robotaxis just yet. Yeah, but they're

0:40:55.880 --> 0:40:56.960
<v Speaker 5>in San Francisco.

0:40:57.120 --> 0:41:00.160
<v Speaker 2>You can't you can't walk a step, We can't a

0:41:00.200 --> 0:41:02.160
<v Speaker 2>block in San Francisco without seeing a way mo.

0:41:02.440 --> 0:41:06.200
<v Speaker 5>Yeah, but that's not possible without AI and not we're

0:41:06.200 --> 0:41:08.400
<v Speaker 5>not necessarily endorsing the tesla's and the way moves and

0:41:08.600 --> 0:41:12.400
<v Speaker 5>the bodies of the world, but having staple positions in

0:41:12.600 --> 0:41:17.080
<v Speaker 5>tech into those AI and those companies that are embracing it.

0:41:17.080 --> 0:41:19.000
<v Speaker 5>It's it's something you need to have, but you got

0:41:19.000 --> 0:41:22.480
<v Speaker 5>to have the perspective and the time horison to support it.

0:41:22.719 --> 0:41:27.080
<v Speaker 2>Okay, speaking of perspective, everybody's favorite topic politics, Uh, the

0:41:27.160 --> 0:41:31.080
<v Speaker 2>election coming up. We've got a couple of months until. Wow,

0:41:31.239 --> 0:41:33.279
<v Speaker 2>that's crazy, actually when I say it like that, a

0:41:33.360 --> 0:41:37.279
<v Speaker 2>couple months until yeah, literally a couple months. How do

0:41:37.320 --> 0:41:39.320
<v Speaker 2>you see that as a risk out there?

0:41:40.040 --> 0:41:41.720
<v Speaker 5>So I've heard there's there's going to be an election

0:41:41.800 --> 0:41:43.800
<v Speaker 5>as well. Yeah, so and I and I'm in a

0:41:43.840 --> 0:41:46.399
<v Speaker 5>swing state. I'm in Pennsylvania, So I hear every other

0:41:47.000 --> 0:41:49.680
<v Speaker 5>every other ad is a is it as a political ad?

0:41:50.320 --> 0:41:52.800
<v Speaker 5>How we're approaching it is? I mean, there's going to

0:41:52.840 --> 0:41:55.560
<v Speaker 5>be it. It feels like a toss up. But to

0:41:56.080 --> 0:41:59.520
<v Speaker 5>make an investment bet predicated upon a certain election outcome

0:41:59.640 --> 0:42:02.840
<v Speaker 5>never really works. Well. What we would reshape the narrative

0:42:02.840 --> 0:42:05.279
<v Speaker 5>to is some of the sure things, right, some of

0:42:05.360 --> 0:42:07.400
<v Speaker 5>the more certain items that are about to come about,

0:42:07.600 --> 0:42:10.319
<v Speaker 5>one being interest rates, right. We know injuries rates are

0:42:10.360 --> 0:42:12.879
<v Speaker 5>going to come down. The path is clear, whether it's

0:42:12.920 --> 0:42:16.200
<v Speaker 5>twenty five or fifty, you know that that's up for discussion,

0:42:16.560 --> 0:42:18.200
<v Speaker 5>but we know it's going to come down. We see

0:42:18.200 --> 0:42:21.000
<v Speaker 5>FED fun futures. It's it's going and we have had

0:42:21.440 --> 0:42:24.680
<v Speaker 5>a FED that's committed to transparency and open communications and

0:42:24.719 --> 0:42:27.600
<v Speaker 5>proactive communications. We know interest rates are going down. That's

0:42:27.760 --> 0:42:32.040
<v Speaker 5>one certain that will play out irrespective of who wins

0:42:32.560 --> 0:42:35.520
<v Speaker 5>in November. The other certainty is we're still going to

0:42:35.600 --> 0:42:39.080
<v Speaker 5>see a lot of unspent government dollars right there's a

0:42:39.120 --> 0:42:42.680
<v Speaker 5>trillion dollars. There's a trillion of unspent federal dollars that's

0:42:42.719 --> 0:42:46.520
<v Speaker 5>still out there from the Inflation Reduction Act and things

0:42:46.560 --> 0:42:48.600
<v Speaker 5>like that that's still coming. There's still going to be

0:42:48.600 --> 0:42:51.640
<v Speaker 5>a federal spend that's going to influence the economy. So

0:42:51.719 --> 0:42:53.879
<v Speaker 5>there's some sure things that are out there. We would

0:42:53.880 --> 0:42:58.360
<v Speaker 5>always advise not to have political ideology influence a investment decision.

0:42:58.480 --> 0:43:00.680
<v Speaker 5>Tends not to work out well. Try to kind of

0:43:00.719 --> 0:43:04.160
<v Speaker 5>reorient and make decisions based off those more certain things

0:43:04.200 --> 0:43:05.280
<v Speaker 5>that we see coming.

0:43:05.560 --> 0:43:08.160
<v Speaker 4>We have a big payroll report coming on Friday, and

0:43:08.239 --> 0:43:11.640
<v Speaker 4>we also got labor market data today that showed a

0:43:11.680 --> 0:43:15.200
<v Speaker 4>weakening labor market. How are you thinking about jobs in

0:43:15.200 --> 0:43:17.880
<v Speaker 4>the US right now and how it impacts markets?

0:43:18.520 --> 0:43:21.960
<v Speaker 5>Well, it's it's that derivative effect into into FED policy.

0:43:22.200 --> 0:43:25.360
<v Speaker 5>And the reality is from from the economy. From an

0:43:25.400 --> 0:43:30.759
<v Speaker 5>economic standpoint, what we saw when rates went up, We

0:43:30.840 --> 0:43:34.600
<v Speaker 5>saw that the economy isn't as sensitive to rates as

0:43:34.600 --> 0:43:37.280
<v Speaker 5>we once saw. There was twenty five percent of homeowners

0:43:37.320 --> 0:43:40.920
<v Speaker 5>refinanced when we had ultra low rates. Now the opposite

0:43:40.960 --> 0:43:43.320
<v Speaker 5>effect will hold true. We might not get that juice

0:43:43.560 --> 0:43:45.600
<v Speaker 5>when the economy when rates start to come down. From

0:43:45.640 --> 0:43:48.120
<v Speaker 5>an economic standpoint, we will get it from a lot

0:43:48.120 --> 0:43:49.920
<v Speaker 5>of you know, from a financial market standpoint, a lot

0:43:49.960 --> 0:43:52.880
<v Speaker 5>of companies that at floating rate debt, typically small caps,

0:43:53.320 --> 0:43:56.920
<v Speaker 5>smaller companies as compared to larger companies, they'll benefit somewhat

0:43:56.960 --> 0:44:00.520
<v Speaker 5>more directly from that. So it's the economy from a

0:44:00.600 --> 0:44:02.720
<v Speaker 5>rates perspective. And then there's the financial market effect.

0:44:02.800 --> 0:44:04.600
<v Speaker 2>You're saying, we might not see pent up demand because

0:44:04.640 --> 0:44:06.160
<v Speaker 2>a lot of people already have low mortgages.

0:44:06.280 --> 0:44:08.480
<v Speaker 5>Correct, Yeah, okay, yeah, I'm one of them.

0:44:08.640 --> 0:44:11.960
<v Speaker 2>Yeah, a lot of folks out there. I mean, I

0:44:11.960 --> 0:44:16.000
<v Speaker 2>think I forget the statistic. It's like something like eighty

0:44:16.040 --> 0:44:18.840
<v Speaker 2>percent of people have sub four percent or something like

0:44:18.880 --> 0:44:20.920
<v Speaker 2>sub five percent. I don't know it. It was I

0:44:20.960 --> 0:44:22.319
<v Speaker 2>don't have the stat off the top of my head,

0:44:22.320 --> 0:44:23.920
<v Speaker 2>but it is a large number of people and remember

0:44:23.920 --> 0:44:24.520
<v Speaker 2>that's fixed.

0:44:24.560 --> 0:44:27.759
<v Speaker 5>So yeah, it's over twenty million homeowners refinanced to the

0:44:27.880 --> 0:44:30.239
<v Speaker 5>ultra A low rate. So it's it kind of you know,

0:44:30.280 --> 0:44:33.080
<v Speaker 5>that dynamic has desensitized rates to the broader economy at

0:44:33.120 --> 0:44:35.279
<v Speaker 5>large and spending. So the jobs report it's meaningful, but

0:44:35.320 --> 0:44:37.279
<v Speaker 5>in terms of you know where rates are going and

0:44:37.320 --> 0:44:39.400
<v Speaker 5>that interplay not you know, I think we're there might

0:44:39.440 --> 0:44:40.840
<v Speaker 5>be an overstatement of where things can go.

0:44:41.360 --> 0:44:45.160
<v Speaker 2>Thomas Raymond, investment and management partner at Callent Family Office,

0:44:45.239 --> 0:44:47.960
<v Speaker 2>joining us here in our Bloomberg Interactive Broker's studio.

0:44:48.480 --> 0:44:53.120
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