WEBVTT - Super Micro and Snap Warn of Economic Headwinds, Grab Raises Forecast

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

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<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>We are live from New York. This is Bloomberg Technology

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<v Speaker 2>and Markets. They stumble off. The worst contraction in US

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<v Speaker 2>GDP since twenty twenty two suggests the economy is at

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<v Speaker 2>risk of buckling under the way of President Trump's tariff.

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<v Speaker 2>This haulting a week long recovery inequities. We're down on

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<v Speaker 2>the S and P five hundred, We're down on NASBA

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<v Speaker 2>one point six percent ed. And you're looking at some

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<v Speaker 2>of the individual names that drag us low US.

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<v Speaker 3>Yeah, let's start with super Micro. This is a severe decline.

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<v Speaker 3>Prelim third quarter results show softness. What super Micro is

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<v Speaker 3>saying is that customers are delaying orders. We're showing you

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<v Speaker 3>in video on the screen because the question the market's

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<v Speaker 3>asking itself is how much is super Micro a proxy

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<v Speaker 3>for in Vidia demand?

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<v Speaker 4>Why?

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<v Speaker 3>Super Micro takes in Video's technology and packages it into

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<v Speaker 3>a server, And there's evidence that customers may be holding

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<v Speaker 3>off of obsolete chips waiting for the new stuff or

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<v Speaker 3>we've got a bigger picture demand problem. And video is

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<v Speaker 3>also in the headlines, of course, because it's CEO is

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<v Speaker 3>on Capitol Hill. Bloomberg's Amory Horden just spoke to Invidia

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<v Speaker 3>CEO jensenmong earlier this morning.

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<v Speaker 5>Listen to this.

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<v Speaker 6>In order to produce five hundred billion dollars worth of

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<v Speaker 6>AI infrastructure requires enormous amounts of investment from a lot

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<v Speaker 6>of different partners, and so we've brought on shore many

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<v Speaker 6>partners to help us do that, and we're going to

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<v Speaker 6>have to build our own factories.

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<v Speaker 4>In order to do that.

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<v Speaker 7>What's your message and conversation can be like today with

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<v Speaker 7>the President when.

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<v Speaker 8>It comes to tariffs.

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<v Speaker 6>Or our football I'm going to count on the fact

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<v Speaker 6>that the administration that has a good plan and from

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<v Speaker 6>our perspective, we would like to have policies that support

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<v Speaker 6>and help accelerate the development of artificial intelligence in this

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<v Speaker 6>new industry.

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<v Speaker 7>Do you think they're going to have an edit of

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<v Speaker 7>the diffusion rule that was under the bienn administration, basically

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<v Speaker 7>placing all these different countries in different buckets.

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<v Speaker 6>Well, I'm not sure what the new diffusion rule is

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<v Speaker 6>going to be, but whatever happens to be it becomes

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<v Speaker 6>it really has to recognize that the world has changed

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<v Speaker 6>fundamentally since the previous diffusion rule was released. We need

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<v Speaker 6>to accelerate the diffusion of American AI technology around the world,

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<v Speaker 6>and so the policies and the encouragement from the administration

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<v Speaker 6>really needs to be behind that.

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<v Speaker 2>In Vidia CEO Chasin Hwang, they're along with our own

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<v Speaker 2>ann Marie Horden. Look, let's stick with the AI sector.

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<v Speaker 2>Go back to super micro sinking. As we heard from

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<v Speaker 2>ED after pre announcing results that fell well short of

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<v Speaker 2>balanced estimates, and as a server maker said, some customers

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<v Speaker 2>are delaying their purchasing. Intelligence analyst Wu Jinhoe joins us

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<v Speaker 2>now and.

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<v Speaker 8>Look amsts to interview.

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<v Speaker 2>This is pretty specific to the new and Video Blackwell

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<v Speaker 2>chip transition, right.

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<v Speaker 9>Yeah, hey Caroline, so it seems to be specific to

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<v Speaker 9>the Nvidio black Well. I will tell you that customers

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<v Speaker 9>are waiting for the leaders generationships. We saw this not

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<v Speaker 9>only a super Micro, but we also saw with HPE

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<v Speaker 9>when they missed their expectations last quarter. So you know,

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<v Speaker 9>customers are essentially delaying these these these deals and just

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<v Speaker 9>moving on to the black loss.

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<v Speaker 3>I think we're Jim, what we heard from the interview

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<v Speaker 3>of Jensen Hangji. Just then, is long term goals right

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<v Speaker 3>for the manufacturing of accelerated computing in this country in

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<v Speaker 3>the short term, help our audience understand in video's commitment

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<v Speaker 3>to a new generation of chip every year and annual cadence,

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<v Speaker 3>and how difficult that is for the server assemblers like

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<v Speaker 3>super Micro, who have to be the go to market

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<v Speaker 3>channel for that company.

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<v Speaker 9>Yeah, and then that's that's a good question, and it

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<v Speaker 9>is actually somewhat problematic to some of the server manufacturers.

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<v Speaker 9>I will tell you a couple of things. The server

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<v Speaker 9>manufacturers do have a couple of years of lead time

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<v Speaker 9>in terms of the product roadmaps, so there is some

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<v Speaker 9>preparation in terms of preparing for those chips. Now, now

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<v Speaker 9>the issue is the customers may not have that level

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<v Speaker 9>of visibility in terms of assembling all of these together,

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<v Speaker 9>because every generation of chips add on to a new

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<v Speaker 9>level of complexity. If we think about the H one

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<v Speaker 9>hundred series, the Hoppa series, you didn't have to have

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<v Speaker 9>as much cooling unecessary. Now as we move into Blackwell,

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<v Speaker 9>you're going to have to have a cooling to support

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<v Speaker 9>one hundred and forty killer watts per RAQ and if

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<v Speaker 9>once we get into the next generation of chips, we're

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<v Speaker 9>talking about six hundred kilowats paract. So it's more of

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<v Speaker 9>an infrastructure problem, but also not only an infrastructre problem,

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<v Speaker 9>but also an architecture problem that the customers need to

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<v Speaker 9>deal with.

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<v Speaker 3>The last time I spake to Jensen last month, he said,

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<v Speaker 3>I'm the only CEO on the planet that will tell

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<v Speaker 3>you what I'm doing for the next five years, and

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<v Speaker 3>all my suppliers upstream downstream can follow suit. I think

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<v Speaker 3>that's your point. Bloomberg Intelligence analyst Wu Jinho. Great to

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<v Speaker 3>have you on the program. Turning to more earnings, Microsoft

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<v Speaker 3>reports results after the bell, and investors are expected to

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<v Speaker 3>pay close attention to the company's data center spending.

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<v Speaker 5>For more.

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<v Speaker 3>We're joined by Rebecca wednerman CEO and principle of Valuaye.

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<v Speaker 3>That's the link right that Jensen Vwang Vinvidia says, here's

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<v Speaker 3>my technology for the next five years. In the short term,

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<v Speaker 3>we look at the capital expenditures of the hyperscalers and

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<v Speaker 3>see if they're willing to plan to spend on that

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<v Speaker 3>technology in advance.

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<v Speaker 10>Rebecca absolutely ed great to be here, Thanks for having me.

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<v Speaker 10>We have to look at what they're willing to spend,

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<v Speaker 10>but also look at what customers are willing to spend

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<v Speaker 10>to drive that AI demand so they can actually generate

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<v Speaker 10>revenues from it.

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<v Speaker 2>And when they're thinking about spending, we had a commitment

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<v Speaker 2>from Alphabet sticking to its seventy five billion. Microsoft has

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<v Speaker 2>been there saying we're spending more than eighty billion, but

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<v Speaker 2>there have been so many courts Rebecca that they might

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<v Speaker 2>be ending leases. We've had TD Cowen and others. What

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<v Speaker 2>if you listened to what's noise what's reality?

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<v Speaker 10>Well, I think Carol, and we have to look at

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<v Speaker 10>the profit and margin picture.

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<v Speaker 6>Right.

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<v Speaker 10>If customers aren't willing to spend on consumption for AI

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<v Speaker 10>demand is not maybe what Microsoft expected it would be,

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<v Speaker 10>they're building out capacity in a way that's not supported

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<v Speaker 10>by revenues. And at the same time, if we look

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<v Speaker 10>at terrorf uncertainty, you know, there's a lot of things

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<v Speaker 10>that go into building out data centers that are expensive

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<v Speaker 10>beyond just in video chips and those kind of things

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<v Speaker 10>have got to be considerations as well as we think

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<v Speaker 10>about the overall data center class structure.

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<v Speaker 2>I'm really interested in that. So we're expecting what eleven

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<v Speaker 2>percent growth in revenue for Microsoft for this fiscal quart

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<v Speaker 2>to Rebecca, but where are you seeing the weakness and

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<v Speaker 2>ultimate demand for their AI products? Where are we likely

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<v Speaker 2>to see that they're spending a lot but people aren't

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<v Speaker 2>buying a lot when it comes to the Copilot offering,

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<v Speaker 2>and that's being offered to the enterprise.

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<v Speaker 8>Yeah, I know.

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<v Speaker 10>I think if you loot copilot. There have been a

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<v Speaker 10>lot of challenges with adoption and really a lot of

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<v Speaker 10>challenges with Microsoft being able to prove the value of

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<v Speaker 10>what they deliver with Copilot. You know, I think they

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<v Speaker 10>did themselves a disservice putting copilots out there in the

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<v Speaker 10>beginning that weren't necessarily ready for prime time. Customers tried

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<v Speaker 10>them once, didn't get the results they expected, and they're

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<v Speaker 10>hesitant to go back. So now, without that broader picture

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<v Speaker 10>of enterprise data grounding Copilot, Microsoft's struggling with their own

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<v Speaker 10>AI to get it out there and get customers paying

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<v Speaker 10>for it.

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<v Speaker 3>I find this fascinating. Like Caroline, I think we share

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<v Speaker 3>this in common.

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<v Speaker 5>Right.

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<v Speaker 3>I grew up using Microsoft software. It's what was available

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<v Speaker 3>on my Dell desktop at home, and as I've got older,

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<v Speaker 3>I have options I'm now a Mac user and I

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<v Speaker 3>use OS. And the thing that I'm always reminded of

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<v Speaker 3>is that Microsoft has spent many years selling software you

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<v Speaker 3>can otherwise get for free somewhere else. So we're focused

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<v Speaker 3>on their capital expenditures, but I still don't see the

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<v Speaker 3>other side of it. The idea that you can look

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<v Speaker 3>at Copilot and say, I'm going to pay at the

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<v Speaker 3>enterprise level was just me personally for that and get

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<v Speaker 3>good value? Is that kind of what you're saying here, Rebecca, Yeah, I.

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<v Speaker 10>Think we're seeing customers say, when I can go out

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<v Speaker 10>to chat GPT on my own, right, why am I

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<v Speaker 10>paying Microsoft for that capability? If it's not grounded in

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<v Speaker 10>enterprise data? And if you in contrast at some of

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<v Speaker 10>Microsoft's competitors in the enterprise software space, you've got your Oracles,

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<v Speaker 10>your Service, and now your salesforces where they're saying it's

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<v Speaker 10>not just what's on your desktop that's important for Copilot

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<v Speaker 10>or for any sort of AI agent, but what's in

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<v Speaker 10>those enterprise data sources you're helping to create more context,

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<v Speaker 10>to give better answers, to give better recommendations, to really

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<v Speaker 10>have more intelligent AI.

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<v Speaker 3>What we're forgetting about is that Azure is the number

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<v Speaker 3>two player in cloud. And so if everyone is out

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<v Speaker 3>there spending on AI through the application layer like Salesforce,

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<v Speaker 3>all those names, doesn't Microsoft just win anyway?

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<v Speaker 10>Well? Absolutely, I mean Microsoft wins when it's competitor's AI win. Right.

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<v Speaker 10>If you look at the folks that are running on

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<v Speaker 10>Azure today, whether it's Service Now or Genesis day Force,

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<v Speaker 10>tons of folks are those spending that their customers are

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<v Speaker 10>spending on their AI or driving up Azure credits.

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<v Speaker 2>Where is therefore the weakness that we might see in

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<v Speaker 2>this particular quarter and the guidance going forward, the small

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<v Speaker 2>exposure to hardware.

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<v Speaker 11>We think about the gaming side, but.

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<v Speaker 2>Ultimately tariffs, is it going to be an economic a

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<v Speaker 2>macroeconomic impact that we want to hear from Satya that

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<v Speaker 2>we want to hear from Amy as well. When we

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<v Speaker 2>think about the CFO perspective, I think.

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<v Speaker 10>The macropipiece is going to be really big Caroline, because

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<v Speaker 10>as we think about overall slowing of enterprise purchases that's

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<v Speaker 10>already happening right, The question is how long is it

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<v Speaker 10>going to last? And how much can the innovation that

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<v Speaker 10>Microsoft is driving in AI in areas help it to

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<v Speaker 10>catch up in terms of sort of capturing the imagination

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<v Speaker 10>of customers. And when we're all risk averse and hesitant

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<v Speaker 10>about making decisions, it's tough to spark that imagination.

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<v Speaker 3>Spin that forward with Amazon, right you know, it's it's

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<v Speaker 3>fast and furious. For forty eight hours, AWS is the

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<v Speaker 3>number one player in cloud computing. All of the logic

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<v Speaker 3>you've just outlined. What do you expect to be your

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<v Speaker 3>conclusion by Friday morning.

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<v Speaker 5>Of this week? Sorry, you know my cool question, but

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<v Speaker 5>have a go.

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<v Speaker 10>Well, you know, if I had the perfect answer, I

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<v Speaker 10>wouldn't be on the show, and I'd be somewhere else

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<v Speaker 10>on a boat, But you'd always be on this show.

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<v Speaker 2>You'd always be coming back on giving us your expertise,

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<v Speaker 2>no matter how many billions you have on that boat.

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<v Speaker 10>That's right, you know, I think we're going to see

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<v Speaker 10>in general, slowly growth. Amazon has some different pieces towards

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<v Speaker 10>growthfolio that are very compelling for customers that are looking

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<v Speaker 10>at cost cutting measures, that are looking at streamlining and rationalization.

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<v Speaker 10>Right now, Amazon has a lot to offer in that area.

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<v Speaker 10>You know, we see Microsoft Azure. I think we'll still

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<v Speaker 10>see pretty strong growth there, but it's going to slow

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<v Speaker 10>over the next couple of quarters. And I think what

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<v Speaker 10>we'll see this week is sort of the beginning of

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<v Speaker 10>that sign of if you don't have a compelling cost

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<v Speaker 10>cunning rationalization proposition, like we saw, for example, from Service

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<v Speaker 10>Now last week, you're going to struggle. It's as one

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<v Speaker 10>of the big players.

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<v Speaker 2>Rebecca's great to have you on, even if you're not

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<v Speaker 2>on a boat. Rebecca Wetterman, see principal at Valoir. We

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<v Speaker 2>appreciate it. Now coming up Snap, it wants the headwinds

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<v Speaker 2>impacting its AD business more on the details next. We're

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<v Speaker 2>down by fifteen percent. This is Bloomberg Technology.

0:11:36.679 --> 0:11:37.920
<v Speaker 11>Look Snap's numbers.

0:11:38.040 --> 0:11:41.559
<v Speaker 2>They actually narrowly beat expectations from analysts for the first

0:11:41.640 --> 0:11:44.520
<v Speaker 2>quarter in terms of revenue, but they declined to issue

0:11:44.520 --> 0:11:46.480
<v Speaker 2>a sales forecast for the current period and they say

0:11:46.480 --> 0:11:48.520
<v Speaker 2>they're navigating macroeconomic headwinds.

0:11:49.120 --> 0:11:50.720
<v Speaker 11>It's all about the ad business.

0:11:50.720 --> 0:11:53.200
<v Speaker 2>We're seeing the worst drop since August twenty twenty four

0:11:53.240 --> 0:11:55.800
<v Speaker 2>on the stock Emarketers. Senior analyst Minne Smiley is with

0:11:55.880 --> 0:11:59.040
<v Speaker 2>us for more. And it looks like Chinese retailers, for example,

0:11:59.080 --> 0:12:01.800
<v Speaker 2>are already holding back spending on Snap haats.

0:12:02.240 --> 0:12:04.840
<v Speaker 12>Yes, exactly, there are already holding back spend, and I

0:12:04.840 --> 0:12:06.600
<v Speaker 12>think in their earnings call they did say that that's

0:12:06.640 --> 0:12:09.680
<v Speaker 12>partly why they're you know, delaying issuing any guidance.

0:12:09.720 --> 0:12:10.720
<v Speaker 8>They are worried about that.

0:12:11.000 --> 0:12:13.720
<v Speaker 12>And I think just overall, the issue with Snap is

0:12:13.720 --> 0:12:16.240
<v Speaker 12>it it's one of those businesses where when we start

0:12:16.280 --> 0:12:18.920
<v Speaker 12>to see these advertiser pullbacks, you know, pullbacks and spend

0:12:19.040 --> 0:12:21.559
<v Speaker 12>pauses and spend, platforms like Snap end up taking a

0:12:21.679 --> 0:12:22.120
<v Speaker 12>hit first.

0:12:22.120 --> 0:12:23.640
<v Speaker 8>You know, advertisers want to put their.

0:12:23.559 --> 0:12:26.880
<v Speaker 12>Money into Meta, into TikTok, into Google, into platforms that

0:12:26.920 --> 0:12:29.720
<v Speaker 12>are just more you know, bigger, more proven, and so

0:12:30.080 --> 0:12:32.160
<v Speaker 12>I think we're already seeing Snap feel the impact.

0:12:32.480 --> 0:12:33.560
<v Speaker 8>But you know, pretty early on.

0:12:33.880 --> 0:12:36.240
<v Speaker 3>It's why it's in our calendar, right because apart from Google,

0:12:36.280 --> 0:12:38.079
<v Speaker 3>we always talk about how well Snap goes first and

0:12:38.120 --> 0:12:40.800
<v Speaker 3>then we extrapolate out to Meta in its platforms. I

0:12:40.800 --> 0:12:44.520
<v Speaker 3>haven't used Snap since high school, frankly, but Caro's intro

0:12:44.720 --> 0:12:47.160
<v Speaker 3>summed it up perfectly, like, you don't give guidance, that's

0:12:47.200 --> 0:12:51.400
<v Speaker 3>a market thing. The platform is growing, Yes, what can

0:12:51.440 --> 0:12:53.760
<v Speaker 3>you tell us about your reaction to that and where

0:12:53.800 --> 0:12:56.679
<v Speaker 3>you see it doing well against those other platforms?

0:12:56.840 --> 0:12:57.400
<v Speaker 8>Yeah, for sure.

0:12:57.400 --> 0:12:59.360
<v Speaker 12>I mean, all in all Snap had a good quarter.

0:12:59.400 --> 0:13:01.360
<v Speaker 12>I mean all of its major metrics. You know, it

0:13:01.440 --> 0:13:03.400
<v Speaker 12>saw user growth, it saw ad revenue and growth. It's

0:13:03.400 --> 0:13:05.600
<v Speaker 12>our revenue growth, which really speaks to the fact that

0:13:05.640 --> 0:13:07.600
<v Speaker 12>it has done a good job of investing in its

0:13:07.600 --> 0:13:11.000
<v Speaker 12>ad platform over the past few years. Its subscription business

0:13:11.000 --> 0:13:13.680
<v Speaker 12>remains small, but it's becoming a meaningful portion of revenue

0:13:13.920 --> 0:13:16.400
<v Speaker 12>for the company. So yes, they are seeing growth, but

0:13:16.440 --> 0:13:18.360
<v Speaker 12>I think we're now seeing that growth maybe kind of

0:13:18.360 --> 0:13:20.640
<v Speaker 12>have within a silo in Q one. I think for

0:13:20.679 --> 0:13:22.960
<v Speaker 12>the remainder of the year, things might get shaky for

0:13:23.000 --> 0:13:25.240
<v Speaker 12>them as they kind of balance, you know, all the

0:13:25.800 --> 0:13:28.560
<v Speaker 12>economic uncertainly we're facing. But you know, the actual core

0:13:28.640 --> 0:13:31.319
<v Speaker 12>business does show some some pretty healthy signs.

0:13:31.480 --> 0:13:34.760
<v Speaker 3>We've been asking our investor in markets guests for about

0:13:34.760 --> 0:13:38.000
<v Speaker 3>a week what happens if a technology company doesn't issue guidance,

0:13:38.400 --> 0:13:42.000
<v Speaker 3>your stock goes down fifteen percent. You know what I'd

0:13:42.000 --> 0:13:45.920
<v Speaker 3>love to help our audience understand is tariffs, trade, uncertainty,

0:13:46.160 --> 0:13:47.240
<v Speaker 3>advertising market.

0:13:47.520 --> 0:13:50.320
<v Speaker 5>Why did the advertisers care?

0:13:51.040 --> 0:13:51.280
<v Speaker 8>Yeah?

0:13:51.320 --> 0:13:52.960
<v Speaker 12>I mean, I think for for a lot of people,

0:13:53.000 --> 0:13:56.040
<v Speaker 12>when they see advertisers spend becoming, you know, starting to

0:13:56.080 --> 0:13:58.400
<v Speaker 12>pull back, it's a sign of bigger bigger concerns, bigger

0:13:58.440 --> 0:14:00.840
<v Speaker 12>issues to come because a lot of marketers, you know,

0:14:01.200 --> 0:14:02.840
<v Speaker 12>for a lot of these companies, one of the first

0:14:02.840 --> 0:14:04.520
<v Speaker 12>things they're going to pull back is marketing when they

0:14:04.520 --> 0:14:08.120
<v Speaker 12>start to see signs of a shaky economy, periods of instability,

0:14:08.559 --> 0:14:11.240
<v Speaker 12>and especially you know when we talk about tariffs, companies

0:14:11.240 --> 0:14:12.960
<v Speaker 12>that might be hit harder by tariffs, you know, maybe

0:14:12.960 --> 0:14:16.719
<v Speaker 12>they have manufacturing in China or whatnot. You know, those companies, retailers,

0:14:16.760 --> 0:14:19.800
<v Speaker 12>you know that maybe rely heavily on other countries.

0:14:20.120 --> 0:14:21.480
<v Speaker 8>They're they're going to have an impact.

0:14:21.480 --> 0:14:24.200
<v Speaker 12>And AD spend always does to kind of take one

0:14:24.240 --> 0:14:26.280
<v Speaker 12>of the first hits when you look across the whole company.

0:14:26.360 --> 0:14:29.000
<v Speaker 8>And so so yeah, these platforms.

0:14:28.680 --> 0:14:31.280
<v Speaker 12>AD revenues are bread and butter, and we talk about

0:14:31.280 --> 0:14:34.200
<v Speaker 12>Snap specifically. They're lucky in that they're you know, because

0:14:34.200 --> 0:14:36.800
<v Speaker 12>they have their subscription subscription business, they are able to

0:14:36.800 --> 0:14:38.760
<v Speaker 12>diversify a little bit. But again, I think it all

0:14:38.800 --> 0:14:41.040
<v Speaker 12>the represents about ten percent of their business right now,

0:14:41.080 --> 0:14:43.320
<v Speaker 12>so of course they're very concerned about AD revenue.

0:14:43.640 --> 0:14:46.480
<v Speaker 2>What blows my mind is that Snap has almost a

0:14:46.560 --> 0:14:50.360
<v Speaker 2>billion users, right but they have a first quarter net

0:14:50.520 --> 0:14:52.320
<v Speaker 2>loss of one hundred.

0:14:52.080 --> 0:14:55.440
<v Speaker 11>And forty million dollars. Just where is the money going?

0:14:55.480 --> 0:14:58.040
<v Speaker 2>What leavers do they have to pull to be a

0:14:58.080 --> 0:15:00.560
<v Speaker 2>long term competitor that actually is profitable.

0:15:00.880 --> 0:15:03.640
<v Speaker 12>Yes, I mean they definitely are running into some issues

0:15:03.680 --> 0:15:07.480
<v Speaker 12>when specifically when you talk about user growth, they are

0:15:07.520 --> 0:15:09.280
<v Speaker 12>seeing user growth here every year, but when you look

0:15:09.280 --> 0:15:10.960
<v Speaker 12>at their key markets, when you look at North America,

0:15:10.960 --> 0:15:12.880
<v Speaker 12>they actually posted declines. I think it went from one

0:15:12.960 --> 0:15:16.920
<v Speaker 12>hundred million two to ninety nine. So they are seeing

0:15:17.000 --> 0:15:19.360
<v Speaker 12>some concerns there around you know this, you know the

0:15:19.400 --> 0:15:22.280
<v Speaker 12>market of the North America, that is their most profitable market,

0:15:23.480 --> 0:15:24.120
<v Speaker 12>but it's saturated.

0:15:24.160 --> 0:15:25.520
<v Speaker 8>They're really struggling to grow there.

0:15:25.600 --> 0:15:27.920
<v Speaker 12>And these and these markets where they are seeing user growth,

0:15:28.000 --> 0:15:29.880
<v Speaker 12>those are the markets where they're not monetizing as well.

0:15:29.920 --> 0:15:31.560
<v Speaker 8>So they definitely have, Like I said.

0:15:31.360 --> 0:15:33.120
<v Speaker 12>They had a good quarter, but they have some big

0:15:33.160 --> 0:15:34.520
<v Speaker 12>long term challenges ahead of them.

0:15:34.640 --> 0:15:37.040
<v Speaker 3>Let's say that there's still a question mark about TikTok

0:15:37.080 --> 0:15:41.200
<v Speaker 3>in the United States, does Snaps stand to benefit from

0:15:41.200 --> 0:15:44.440
<v Speaker 3>that whatever happens with that platform they have that they.

0:15:44.320 --> 0:15:46.240
<v Speaker 8>Do stand the benefit and they have benefited already.

0:15:46.240 --> 0:15:48.360
<v Speaker 12>I mean, I think the uncertainty around TikTok, of course,

0:15:48.400 --> 0:15:49.359
<v Speaker 12>it's its future.

0:15:49.120 --> 0:15:51.480
<v Speaker 8>Is still in flux. But I think just this general.

0:15:51.240 --> 0:15:53.640
<v Speaker 12>Uncertainty that's been happening over the past few years has

0:15:53.680 --> 0:15:56.640
<v Speaker 12>benefited all these other platforms. That being said, I don't

0:15:56.640 --> 0:15:59.520
<v Speaker 12>think Snap will be one of the main beneficiaries we're

0:15:59.520 --> 0:16:01.840
<v Speaker 12>going to see. So that money go to YouTube, you know,

0:16:01.880 --> 0:16:05.120
<v Speaker 12>go to YouTube shorts, go to Instagram, Instagram reels, even Facebook.

0:16:05.240 --> 0:16:07.760
<v Speaker 12>I think Snap, yes, they will benefit, but not so

0:16:07.840 --> 0:16:09.680
<v Speaker 12>much that it'll really kind of, you know, save their

0:16:09.800 --> 0:16:11.080
<v Speaker 12>entire business by any means.

0:16:11.120 --> 0:16:12.840
<v Speaker 5>Okay, what are you watching for with Meta? What do

0:16:12.880 --> 0:16:14.040
<v Speaker 5>we need to know? Oh?

0:16:14.040 --> 0:16:14.280
<v Speaker 8>Wow?

0:16:14.360 --> 0:16:16.560
<v Speaker 12>I mean in some ways, Meta is actually a similar

0:16:16.560 --> 0:16:18.680
<v Speaker 12>story to Snap in some ways in that you know,

0:16:18.760 --> 0:16:20.520
<v Speaker 12>I think we're expecting a good quarter. They're going to

0:16:20.520 --> 0:16:22.640
<v Speaker 12>post advertising growth. You know, they're going to kind of

0:16:22.680 --> 0:16:24.520
<v Speaker 12>buy all their major metrics. We're going to see growth.

0:16:24.560 --> 0:16:26.880
<v Speaker 12>But between the anti trust try all their facing here

0:16:26.880 --> 0:16:29.720
<v Speaker 12>in the US, between tear ups, and especially for Meta,

0:16:29.800 --> 0:16:32.480
<v Speaker 12>I mean, they will be impacted by Chinese retailers like

0:16:32.480 --> 0:16:34.240
<v Speaker 12>She and Timu pulling back on D spend.

0:16:34.440 --> 0:16:36.760
<v Speaker 8>That's going to hit them pretty hard, we expect.

0:16:37.240 --> 0:16:39.600
<v Speaker 12>And so yeah, they they're probably going to post a

0:16:39.680 --> 0:16:42.520
<v Speaker 12>good quarter, But I think there's going to be some

0:16:42.520 --> 0:16:44.600
<v Speaker 12>some issues people will be paying attention to for sure

0:16:44.680 --> 0:16:45.800
<v Speaker 12>in the quarters to come.

0:16:46.000 --> 0:16:48.280
<v Speaker 3>EMOCS the senior analyst mind the Smiley Greats having on

0:16:48.320 --> 0:16:58.320
<v Speaker 3>the show, Thank you righte Hailing and food delivery company

0:16:58.320 --> 0:17:02.160
<v Speaker 3>GRAB Holdings raised it's all year earnings forecast, boosting sentiment

0:17:02.400 --> 0:17:05.200
<v Speaker 3>that the sector could be more resilient amid global trade

0:17:05.200 --> 0:17:07.800
<v Speaker 3>wars for more delighted to say, we're joined by Peter

0:17:07.880 --> 0:17:09.240
<v Speaker 3>Owey Grab CFO.

0:17:09.840 --> 0:17:11.240
<v Speaker 5>I'm here in the United States.

0:17:11.320 --> 0:17:13.960
<v Speaker 3>Grab is Southeast Asia and everyone that I talked to

0:17:14.560 --> 0:17:18.280
<v Speaker 3>talks about your scale across those different nations and your

0:17:18.359 --> 0:17:21.560
<v Speaker 3>use of AI, particularly to manage operating costs. That's the

0:17:21.560 --> 0:17:25.040
<v Speaker 3>boring stuff, Peter. What is it you're able to do

0:17:25.600 --> 0:17:28.480
<v Speaker 3>in those markets and those Southeast Asian companies at scale

0:17:28.680 --> 0:17:30.159
<v Speaker 3>that's helping you perform like this?

0:17:31.880 --> 0:17:35.040
<v Speaker 13>Yeah, we had a very strong Q one results, record revenues,

0:17:35.119 --> 0:17:38.280
<v Speaker 13>a record number of transacting users on our platform, and

0:17:38.400 --> 0:17:41.760
<v Speaker 13>also a growing profitability in our business today. And what's

0:17:42.000 --> 0:17:44.639
<v Speaker 13>unique about our business is that the scale that we

0:17:44.760 --> 0:17:48.320
<v Speaker 13>built is around adoptability of our products and it's a

0:17:48.440 --> 0:17:51.280
<v Speaker 13>super app. So what does that mean? We have multiple

0:17:51.359 --> 0:17:54.680
<v Speaker 13>products that's on one single app it cell, whether it's

0:17:55.000 --> 0:17:57.680
<v Speaker 13>all forms of deliveries, whether it's food delivery, whether it's

0:17:57.720 --> 0:18:02.080
<v Speaker 13>grocery delivery. You've got transport two wheels, three wheels, four wheels,

0:18:02.520 --> 0:18:05.520
<v Speaker 13>and that's our taxi services also on our platform.

0:18:05.800 --> 0:18:07.880
<v Speaker 4>And we also have fintech also.

0:18:07.800 --> 0:18:12.280
<v Speaker 13>Where there is low appurance payments business also, and it's

0:18:12.480 --> 0:18:15.840
<v Speaker 13>unique in Southeast Asia where all these products are interrelated

0:18:15.880 --> 0:18:19.400
<v Speaker 13>and they're all working through one ecosystem. We're seeing more

0:18:19.520 --> 0:18:23.639
<v Speaker 13>traction before on our platform than ever before. Part of

0:18:24.440 --> 0:18:27.439
<v Speaker 13>product is around affordability, and we continue to push that

0:18:27.640 --> 0:18:29.880
<v Speaker 13>affordability as we expand the user base.

0:18:30.320 --> 0:18:32.200
<v Speaker 11>Okay, so let's talk about affordability.

0:18:32.280 --> 0:18:35.000
<v Speaker 2>Is that coming through the new products, because actually you're

0:18:35.000 --> 0:18:38.160
<v Speaker 2>trying to increase spending from your users. You're doing well,

0:18:38.200 --> 0:18:41.200
<v Speaker 2>whether you're doing family accounts, whether you're offering.

0:18:40.920 --> 0:18:43.320
<v Speaker 11>People to pull some of their deliveries for example. Peter,

0:18:44.520 --> 0:18:44.919
<v Speaker 11>that's right.

0:18:45.040 --> 0:18:47.960
<v Speaker 13>Yes, we're actually adding more products, but those products are

0:18:47.960 --> 0:18:51.399
<v Speaker 13>also catering for segments of users on our platform there

0:18:51.480 --> 0:18:53.600
<v Speaker 13>might be a little bit more pro sensitive. That's why

0:18:53.600 --> 0:18:56.480
<v Speaker 13>we have about a third of our transactions today are

0:18:56.520 --> 0:19:00.240
<v Speaker 13>coming from these more affordable suite of products. In transport

0:19:00.600 --> 0:19:03.560
<v Speaker 13>or own deliveries, or we also have the more the

0:19:03.640 --> 0:19:06.200
<v Speaker 13>premium side also, which are really important for those who

0:19:06.200 --> 0:19:10.000
<v Speaker 13>are less price sensitive, who are less more they wanted

0:19:10.040 --> 0:19:13.080
<v Speaker 13>a food much quicker, for an example, and that's also

0:19:14.080 --> 0:19:16.800
<v Speaker 13>so it's a combination of this product mix that's really

0:19:16.840 --> 0:19:19.680
<v Speaker 13>important and we need to give customers choice and that's

0:19:19.720 --> 0:19:21.880
<v Speaker 13>what we've been doing more and more over the last

0:19:21.960 --> 0:19:23.120
<v Speaker 13>two years in our business.

0:19:23.359 --> 0:19:26.239
<v Speaker 3>It's even so we have a trade war, what are

0:19:26.280 --> 0:19:30.600
<v Speaker 3>the indirect economic impacts of tariffs on those Southeast Asian markets?

0:19:30.680 --> 0:19:33.560
<v Speaker 3>And on the financing side loans, what are you doing

0:19:33.720 --> 0:19:35.280
<v Speaker 3>to insulate yourself.

0:19:36.880 --> 0:19:41.000
<v Speaker 13>Yeah, we've built a business where we feel and we

0:19:41.080 --> 0:19:43.600
<v Speaker 13>believe that it's counter sickly goal. What does that mean

0:19:43.760 --> 0:19:45.439
<v Speaker 13>If you look at the type of service that we

0:19:45.480 --> 0:19:48.679
<v Speaker 13>do today, people still need to eat, and we have

0:19:48.840 --> 0:19:51.920
<v Speaker 13>also an ability where we can bring cook food home

0:19:52.320 --> 0:19:55.280
<v Speaker 13>or we can also get grocery into their homes. So

0:19:55.440 --> 0:19:58.680
<v Speaker 13>at the same time at an affordable price, people still

0:19:58.680 --> 0:20:00.560
<v Speaker 13>need to go to work, they still need to commute

0:20:00.560 --> 0:20:03.320
<v Speaker 13>from point at a point B, and we're making services

0:20:03.359 --> 0:20:06.280
<v Speaker 13>more affordable also at the same time. So we feel

0:20:06.320 --> 0:20:09.800
<v Speaker 13>that whether it's an economic downturn or whether the economy

0:20:09.880 --> 0:20:12.399
<v Speaker 13>is doing well. The services that we have today are

0:20:12.480 --> 0:20:17.119
<v Speaker 13>relevant for these consumers and also with fintech. Also, payments

0:20:17.160 --> 0:20:20.400
<v Speaker 13>also is still very prevalent, whether it is in any

0:20:20.480 --> 0:20:23.680
<v Speaker 13>economic cycles. People need still need to pay for things,

0:20:23.680 --> 0:20:27.880
<v Speaker 13>whether to pay their bills. So it's an important part

0:20:27.920 --> 0:20:30.360
<v Speaker 13>of this ecosystem that we continue to harness.

0:20:30.800 --> 0:20:35.879
<v Speaker 2>Peter and mentioned that potential protection of yourself via taking

0:20:35.920 --> 0:20:38.320
<v Speaker 2>out loans. Now you were taking out alone, we understand

0:20:38.359 --> 0:20:40.800
<v Speaker 2>to the tune of about two billion to help finance potential

0:20:40.880 --> 0:20:43.560
<v Speaker 2>deal go to How is that M and A going

0:20:43.600 --> 0:20:44.640
<v Speaker 2>in this current environment.

0:20:46.359 --> 0:20:49.919
<v Speaker 13>Well, can't command caroline on the speculation of those M

0:20:49.920 --> 0:20:54.280
<v Speaker 13>and A. What we are focusing where especially Indonesia where

0:20:54.320 --> 0:20:56.880
<v Speaker 13>it's a very important market for US. It's about three

0:20:56.920 --> 0:21:00.119
<v Speaker 13>hundred million people and it's a very critical market. What

0:21:00.160 --> 0:21:03.040
<v Speaker 13>we are seeing in Indonesia is a continuing growth. Actually,

0:21:03.040 --> 0:21:05.720
<v Speaker 13>if we look at the number of users quorter on quarter,

0:21:05.760 --> 0:21:09.520
<v Speaker 13>we continue to expand that business margin also is expanding,

0:21:09.800 --> 0:21:12.639
<v Speaker 13>so we can do it on Indonesia. Then we are

0:21:12.800 --> 0:21:15.639
<v Speaker 13>making selective m and as in the first quarter we

0:21:15.720 --> 0:21:17.920
<v Speaker 13>made a number of small M and a's which are

0:21:17.960 --> 0:21:21.200
<v Speaker 13>more around ecosystem and that's really important also as again

0:21:21.240 --> 0:21:24.280
<v Speaker 13>as we bring more products and services, more capabilities to

0:21:24.440 --> 0:21:25.160
<v Speaker 13>our user base.

0:21:25.320 --> 0:21:28.320
<v Speaker 2>Its briefly the cost control you've got, how much is

0:21:28.320 --> 0:21:29.080
<v Speaker 2>that because of AI?

0:21:31.160 --> 0:21:33.280
<v Speaker 13>I would say it's very hard to measure with its

0:21:33.320 --> 0:21:37.280
<v Speaker 13>pinpoint is specifically to AI. What we are measuring is

0:21:37.359 --> 0:21:41.080
<v Speaker 13>more the productivity output that we can harness from using

0:21:41.119 --> 0:21:45.600
<v Speaker 13>AI internally. Here a grab for an example, behalf of

0:21:45.640 --> 0:21:49.119
<v Speaker 13>our engineers today are using some sort of AI assists

0:21:49.119 --> 0:21:51.520
<v Speaker 13>for them to be able to do their work more efficiently.

0:21:52.440 --> 0:21:54.879
<v Speaker 13>I would say that one measurement also is the number

0:21:54.880 --> 0:21:58.040
<v Speaker 13>of headcount that we are increasing also in our organization,

0:21:58.080 --> 0:22:00.439
<v Speaker 13>which actually have slowed down because of some of these

0:22:00.520 --> 0:22:03.000
<v Speaker 13>automation and some of these AI agents that would be

0:22:03.080 --> 0:22:08.320
<v Speaker 13>labeled to deploy email organizations. So measured this productivity p.

0:22:08.440 --> 0:22:10.919
<v Speaker 2>Dewey, I've grabbed. Great to have some time with you

0:22:10.960 --> 0:22:21.000
<v Speaker 2>a long day. Appreciate you coming on. Welcome back to

0:22:21.000 --> 0:22:23.440
<v Speaker 2>Blueberg Technology. I'm Caroline Hider, New York and I met.

0:22:23.400 --> 0:22:24.520
<v Speaker 5>Love Loow right alongside her.

0:22:24.600 --> 0:22:28.440
<v Speaker 3>The market story for the technology sector is anxiety about economics. Really,

0:22:28.760 --> 0:22:31.439
<v Speaker 3>data out of China on the manufacturing side not great

0:22:31.840 --> 0:22:34.399
<v Speaker 3>on US levies and you see the US listed shares

0:22:34.640 --> 0:22:37.879
<v Speaker 3>of Chinese tech companies lower. Another name that I've got

0:22:37.920 --> 0:22:40.240
<v Speaker 3>to point out, Tesla. Morgan Stanley is out with a

0:22:40.359 --> 0:22:43.720
<v Speaker 3>note that the tie up between Waimo, the autonomous driving

0:22:43.800 --> 0:22:49.200
<v Speaker 3>arm of Google, and Toyota is quote legit competition for Tesla,

0:22:49.400 --> 0:22:51.359
<v Speaker 3>the stock under a little pressure there, and we go

0:22:51.480 --> 0:22:55.240
<v Speaker 3>back to Nvidia Caro because Jensen one's on Capitol Hill.

0:22:55.280 --> 0:22:57.800
<v Speaker 3>But also the read through and downward pressure that came

0:22:57.800 --> 0:23:01.240
<v Speaker 3>from super Micro, one of its key manufacturing partners in

0:23:01.240 --> 0:23:02.359
<v Speaker 3>the server design space.

0:23:02.840 --> 0:23:05.119
<v Speaker 2>It is, and let's just stick with all things in video,

0:23:05.160 --> 0:23:07.600
<v Speaker 2>but also all things President Trump. Because marking one hundred

0:23:07.680 --> 0:23:10.199
<v Speaker 2>days ed in office as a rally in Michigan was

0:23:10.240 --> 0:23:13.680
<v Speaker 2>taken out yesterday, he doubled down on his tough stance

0:23:13.720 --> 0:23:16.200
<v Speaker 2>on immigration and the impact of Tara's on China's quote

0:23:16.240 --> 0:23:19.399
<v Speaker 2>unfair trade now moves that sent ripples through the tech industry,

0:23:19.440 --> 0:23:21.600
<v Speaker 2>of course, from supply chains to AI development. Now in

0:23:21.680 --> 0:23:24.000
<v Speaker 2>Vidio CEO Jensen Wang, as you mentioned, ed just joined

0:23:24.000 --> 0:23:26.879
<v Speaker 2>from Washington. He's sounded confident on the administration's tarast stance,

0:23:26.960 --> 0:23:30.119
<v Speaker 2>but sounding the alarm when it comes to China's AI strength.

0:23:31.240 --> 0:23:36.479
<v Speaker 6>China is not behind anybody who's in you. China's right

0:23:36.520 --> 0:23:39.600
<v Speaker 6>behind us. I mean they're more very very close. But

0:23:39.760 --> 0:23:43.200
<v Speaker 6>remember this is a long term. This is an infinite race.

0:23:43.560 --> 0:23:45.680
<v Speaker 6>There is no you know, in the in the world

0:23:45.680 --> 0:23:48.240
<v Speaker 6>of life, there is no those you know, there's no

0:23:48.320 --> 0:23:50.520
<v Speaker 6>two minute here, end.

0:23:50.480 --> 0:23:51.000
<v Speaker 4>Of the quarter.

0:23:51.160 --> 0:23:53.480
<v Speaker 6>There's there's no such thing. And so we're going to

0:23:53.480 --> 0:23:54.520
<v Speaker 6>compete for a long time.

0:23:55.520 --> 0:23:55.760
<v Speaker 11>Murgs.

0:23:55.800 --> 0:23:58.240
<v Speaker 2>Mike Shepherd joins us now a warning for the administration

0:23:58.359 --> 0:23:59.560
<v Speaker 2>that China is close behind.

0:24:00.520 --> 0:24:02.400
<v Speaker 14>Well, that's right, and it's one that he'll be able

0:24:02.440 --> 0:24:06.399
<v Speaker 14>to deliver to the President in person this afternoon in video,

0:24:06.440 --> 0:24:09.440
<v Speaker 14>of course, is one of the featured companies at an

0:24:09.440 --> 0:24:14.119
<v Speaker 14>Investing in America meeting with the President later this afternoon.

0:24:14.440 --> 0:24:17.159
<v Speaker 14>It's a part of the one hundred days in office

0:24:17.160 --> 0:24:20.440
<v Speaker 14>celebration that is really extending over a few days, as

0:24:20.560 --> 0:24:23.199
<v Speaker 14>Trump tries to look back at some of the successes he,

0:24:23.480 --> 0:24:26.879
<v Speaker 14>in his view, has already had since taking office in January,

0:24:26.920 --> 0:24:30.040
<v Speaker 14>and looks ahead to some more of the policy areas

0:24:30.040 --> 0:24:32.840
<v Speaker 14>where they would like to gain ground. AI certainly is

0:24:32.880 --> 0:24:35.800
<v Speaker 14>one of them. We're waiting this AI blueprint from David

0:24:35.840 --> 0:24:38.080
<v Speaker 14>Sachs and others and We're also looking to see how

0:24:38.119 --> 0:24:40.800
<v Speaker 14>the administration will act in a key area of concern

0:24:40.880 --> 0:24:43.960
<v Speaker 14>for Jensen Wong, and that is those export controls on

0:24:44.040 --> 0:24:46.760
<v Speaker 14>AI chips, especially the ones that his company makes.

0:24:46.840 --> 0:24:49.600
<v Speaker 3>Caro probably is Mike Shepperd keeping us on us out

0:24:49.600 --> 0:24:50.399
<v Speaker 3>of Washington, d C.

0:24:50.560 --> 0:24:51.199
<v Speaker 5>Thank you very much.

0:24:51.280 --> 0:24:53.080
<v Speaker 3>Let's get back to what is a top story and

0:24:53.160 --> 0:24:57.639
<v Speaker 3>news overnight of China's President Gee's visit to a tech incubator,

0:24:57.720 --> 0:25:01.919
<v Speaker 3>which sent some robotics stocks soaring. Then there was a

0:25:01.920 --> 0:25:04.640
<v Speaker 3>slump in Chinese manufacturing data in the face of US

0:25:04.720 --> 0:25:07.880
<v Speaker 3>tarrist that's also putting more focus on supply chains four

0:25:07.960 --> 0:25:11.480
<v Speaker 3>key domains like robotics. Here in North America, competition in

0:25:11.560 --> 0:25:14.160
<v Speaker 3>robotics is heating up, and some of that's coming from

0:25:14.240 --> 0:25:18.000
<v Speaker 3>long standing robotics names like Boston Dynamics. Like's say, the

0:25:18.000 --> 0:25:21.399
<v Speaker 3>company's CEO, Robert Plater, joins us. Now, Robert, welcome to

0:25:21.400 --> 0:25:25.520
<v Speaker 3>Bloomberg Technology. Let's actually just start with basic data and facts.

0:25:25.920 --> 0:25:29.560
<v Speaker 3>Where is Boston Dynamics today in its production of robots?

0:25:29.680 --> 0:25:31.679
<v Speaker 5>Where does it take place? And what does the supply

0:25:31.760 --> 0:25:32.320
<v Speaker 5>chain look like?

0:25:34.080 --> 0:25:37.320
<v Speaker 15>Thanks for having me ed so, Boston Dynamics is building

0:25:37.400 --> 0:25:39.480
<v Speaker 15>three products right now and two of them are in

0:25:39.520 --> 0:25:43.280
<v Speaker 15>the market. Spot was our initial product, and we have

0:25:43.480 --> 0:25:46.440
<v Speaker 15>about two thousand of those robots out with customers. We've

0:25:46.520 --> 0:25:49.960
<v Speaker 15>launched a second product stretch, which is a warehousing robot,

0:25:50.080 --> 0:25:53.840
<v Speaker 15>and that's having success with big players like DHL, and

0:25:53.880 --> 0:25:56.960
<v Speaker 15>our third product will be humanoids. We are manufacturing all

0:25:57.000 --> 0:26:00.880
<v Speaker 15>of these in the United States and to deploy them

0:26:01.840 --> 0:26:04.120
<v Speaker 15>internationally as well as in the United States.

0:26:04.680 --> 0:26:06.679
<v Speaker 3>Robert I always like to go to our audience on

0:26:06.720 --> 0:26:09.159
<v Speaker 3>social media and say, the following CEO is coming on

0:26:09.200 --> 0:26:10.679
<v Speaker 3>the show, what would you ask them? And based on

0:26:10.720 --> 0:26:13.000
<v Speaker 3>what you just said, the first customer was if you

0:26:13.280 --> 0:26:16.200
<v Speaker 3>are approaching a new customer, how would you go about

0:26:16.240 --> 0:26:19.080
<v Speaker 3>a new task, What does the teaching process for the

0:26:19.119 --> 0:26:21.399
<v Speaker 3>specific form facts of robot look like? And how long

0:26:21.440 --> 0:26:24.080
<v Speaker 3>does it take to go from sort of inception to

0:26:24.160 --> 0:26:26.119
<v Speaker 3>deployment in that industrial use case.

0:26:27.119 --> 0:26:28.600
<v Speaker 4>That's a great question.

0:26:28.640 --> 0:26:30.480
<v Speaker 5>Thank you. I didn't think of it any with someone

0:26:30.480 --> 0:26:31.399
<v Speaker 5>else's go ahead.

0:26:32.600 --> 0:26:35.920
<v Speaker 15>AI has definitely changed the game here and it's accelerated

0:26:35.920 --> 0:26:37.399
<v Speaker 15>the rate at which you can teach.

0:26:37.200 --> 0:26:38.320
<v Speaker 4>Robots new tasks.

0:26:39.200 --> 0:26:41.439
<v Speaker 15>But much of the AI that you need to make

0:26:41.520 --> 0:26:45.399
<v Speaker 15>humanoids successful is still to be built. What we found

0:26:45.520 --> 0:26:48.639
<v Speaker 15>practically is that when you introduce a new robot like Spot,

0:26:48.920 --> 0:26:51.800
<v Speaker 15>which we introduced in twenty twenty, it took us until

0:26:51.840 --> 0:26:54.960
<v Speaker 15>about twenty twenty three before you really were starting to

0:26:55.040 --> 0:26:58.960
<v Speaker 15>nail the applications that customers wanted and they generated value

0:26:58.960 --> 0:27:02.520
<v Speaker 15>for them. So it's not an overnight activity. It's really

0:27:02.600 --> 0:27:06.560
<v Speaker 15>learning about the customer problem and building a solution, not

0:27:06.640 --> 0:27:07.879
<v Speaker 15>just a prototype robot.

0:27:08.440 --> 0:27:13.200
<v Speaker 2>Let's talk about whether the solution of Optimus over at Tesla.

0:27:13.359 --> 0:27:15.840
<v Speaker 11>Is that a competitive threat for you right now?

0:27:15.920 --> 0:27:18.399
<v Speaker 2>Robert, how realistic do you think the timeframes are on

0:27:18.480 --> 0:27:19.080
<v Speaker 2>that from Elon?

0:27:19.760 --> 0:27:23.880
<v Speaker 15>Well, you know, Elon I think exaggerates often. He's got

0:27:23.960 --> 0:27:27.920
<v Speaker 15>history of doing that, but he's also proven the ability

0:27:27.960 --> 0:27:31.400
<v Speaker 15>to invent the future. So we take Tesla and Optimists

0:27:31.480 --> 0:27:35.560
<v Speaker 15>very seriously. They also share an advantage that Boston Dynamics has,

0:27:35.600 --> 0:27:39.359
<v Speaker 15>which is we're attached to a major automotive manufacturer and

0:27:39.400 --> 0:27:42.679
<v Speaker 15>that creates a unique opportunity for us, but also for

0:27:42.800 --> 0:27:46.320
<v Speaker 15>Tesla to not only build a scale, but deploy at

0:27:46.359 --> 0:27:49.840
<v Speaker 15>scale and basically have consume your own robots.

0:27:50.040 --> 0:27:52.600
<v Speaker 2>I mean, you've got a collaboration with Hyundai for example.

0:27:52.640 --> 0:27:55.640
<v Speaker 2>You've also got partnerships long standing within Video and others.

0:27:55.680 --> 0:27:58.520
<v Speaker 2>Just how resilient to those partnerships and do those end

0:27:58.560 --> 0:28:00.920
<v Speaker 2>customers seem at this economic moment.

0:28:00.760 --> 0:28:03.840
<v Speaker 15>Robert, Well, I think the partnership with Hyundai is going

0:28:03.880 --> 0:28:08.120
<v Speaker 15>to be really amazing because they can be both our

0:28:08.440 --> 0:28:12.399
<v Speaker 15>manufacturer and largest consumer. We can if we need to

0:28:12.440 --> 0:28:16.600
<v Speaker 15>adjust manufacturing of automotives to make robots more successful, there

0:28:16.800 --> 0:28:18.960
<v Speaker 15>we can do so, and that will really be key

0:28:19.000 --> 0:28:23.280
<v Speaker 15>to achieving success. So I think the whole world is

0:28:23.320 --> 0:28:26.920
<v Speaker 15>seeing the opportunity for this new generation of robots to

0:28:28.280 --> 0:28:31.680
<v Speaker 15>expand significantly, and so I think there's just a lot

0:28:31.680 --> 0:28:33.280
<v Speaker 15>of promise in this industry right now.

0:28:33.520 --> 0:28:33.800
<v Speaker 5>Robert.

0:28:33.880 --> 0:28:36.520
<v Speaker 3>The critical line of questioning I get for you, and

0:28:36.560 --> 0:28:39.080
<v Speaker 3>maybe the criticism is that Boston has been at this

0:28:39.160 --> 0:28:42.200
<v Speaker 3>a long time, and the skepticism is that you haven't

0:28:42.200 --> 0:28:45.120
<v Speaker 3>moved beyond prototype phase. You've just said in the opening

0:28:45.160 --> 0:28:47.520
<v Speaker 3>of this interview that actually you have. Would you go

0:28:47.640 --> 0:28:51.240
<v Speaker 3>as actually bear with Robert, I'm afraid to say, We've

0:28:51.240 --> 0:28:53.200
<v Speaker 3>got to leave it here for a second. The President

0:28:53.360 --> 0:28:57.560
<v Speaker 3>is hosting a cabinet meeting in Washington, DC, and the

0:28:57.640 --> 0:28:58.440
<v Speaker 3>right people.

0:28:58.680 --> 0:29:02.640
<v Speaker 16>Working at Congratulations by the way, into tom for two

0:29:02.680 --> 0:29:05.360
<v Speaker 16>months in a row. We have set the all time

0:29:05.440 --> 0:29:09.000
<v Speaker 16>records for the lowest number of illegal border crossings ever recorded.

0:29:09.480 --> 0:29:13.440
<v Speaker 16>The number of illegal boat crosses released into the United States.

0:29:13.080 --> 0:29:19.719
<v Speaker 4>Is down ninety nine point nine percent. That is usually

0:29:20.760 --> 0:29:21.640
<v Speaker 4>one hundred percent.

0:29:22.560 --> 0:29:27.560
<v Speaker 16>So I think it's an amazing tribute, and Christy, congratulations.

0:29:26.640 --> 0:29:27.920
<v Speaker 4>And Tom and everybody else.

0:29:27.960 --> 0:29:31.600
<v Speaker 16>It's an amazing job actually, and it was done very quickly.

0:29:32.160 --> 0:29:35.760
<v Speaker 16>We officially designated trend de Iragua MS thirteen and the

0:29:35.840 --> 0:29:41.800
<v Speaker 16>Mexican drug cartels is foreign terrorist organizations and we're expelling

0:29:41.880 --> 0:29:46.600
<v Speaker 16>these monsters from our country rapidly and working with the

0:29:46.640 --> 0:29:47.680
<v Speaker 16>Department of Justice.

0:29:47.720 --> 0:29:50.400
<v Speaker 4>Pam, You're doing fantastic. Your people are amazing.

0:29:50.880 --> 0:29:56.360
<v Speaker 16>We're having some judge problems and everybody's reading some judges

0:29:56.400 --> 0:29:59.360
<v Speaker 16>that don't like, you know, killers, murderers being thrown out

0:29:59.400 --> 0:30:01.520
<v Speaker 16>of the country. So I don't know what their problem is,

0:30:01.560 --> 0:30:04.520
<v Speaker 16>but we have a little difficulty. We won on the

0:30:04.560 --> 0:30:08.160
<v Speaker 16>basis of a great border and of getting criminals out

0:30:08.200 --> 0:30:11.880
<v Speaker 16>of our country. That was why we won every swing state.

0:30:12.440 --> 0:30:16.600
<v Speaker 16>We won by millions of votes. We won everything, every metric,

0:30:16.680 --> 0:30:19.000
<v Speaker 16>We won by a lot. It was a massive victory

0:30:19.040 --> 0:30:22.600
<v Speaker 16>and we won I think largely because of this issue.

0:30:22.760 --> 0:30:26.240
<v Speaker 4>I put this issue, it's number one issue, and they

0:30:26.400 --> 0:30:28.560
<v Speaker 4>don't want us to do what we're supposed to do.

0:30:28.640 --> 0:30:30.320
<v Speaker 16>And I don't think that can be I hope the

0:30:30.360 --> 0:30:34.360
<v Speaker 16>Supreme Court is going to fully understand what's going on.

0:30:34.720 --> 0:30:36.720
<v Speaker 16>We have to get the criminals out of our country,

0:30:36.760 --> 0:30:39.640
<v Speaker 16>and that's the basis under which we won the election.

0:30:40.160 --> 0:30:43.560
<v Speaker 16>Core gdpked and this is you know, you brobably saw

0:30:43.680 --> 0:30:46.000
<v Speaker 16>some numbers today and I have to start off, I

0:30:46.080 --> 0:30:49.479
<v Speaker 16>say that's Biden, that's not Trump, because we came in

0:30:49.520 --> 0:30:52.920
<v Speaker 16>on January just a quarterly numbers, and we came in

0:30:53.200 --> 0:30:59.400
<v Speaker 16>and I was very against everything that Biden was doing

0:30:59.440 --> 0:31:02.400
<v Speaker 16>in terms of the economy, destroying our country in so

0:31:02.480 --> 0:31:03.240
<v Speaker 16>many ways, not.

0:31:03.160 --> 0:31:03.880
<v Speaker 4>Only at the border.

0:31:03.920 --> 0:31:06.920
<v Speaker 16>The border was more obvious, but we took over his

0:31:07.320 --> 0:31:09.200
<v Speaker 16>mess in so many different ways.

0:31:09.640 --> 0:31:11.840
<v Speaker 4>Core GDP removing.

0:31:11.760 --> 0:31:17.200
<v Speaker 16>Distortions from imports, inventories, and government spending was up close

0:31:17.320 --> 0:31:21.360
<v Speaker 16>three percent when you edit, we had numbers that despite

0:31:21.560 --> 0:31:23.720
<v Speaker 16>what we were handed, we turned them around, and we

0:31:23.760 --> 0:31:27.680
<v Speaker 16>were getting them really turned around. Gross domestic investment was

0:31:27.720 --> 0:31:31.200
<v Speaker 16>a whopping twenty two percent. Now that is a number

0:31:31.280 --> 0:31:33.800
<v Speaker 16>that people are coming in at numbers. For instance, I

0:31:33.880 --> 0:31:37.160
<v Speaker 16>just walked in IRN sam sub Is now because of

0:31:37.240 --> 0:31:39.960
<v Speaker 16>the tariffs, they're going to build massive facilities in the

0:31:40.040 --> 0:31:40.840
<v Speaker 16>United States.

0:31:41.640 --> 0:31:43.640
<v Speaker 4>If we didn't do the tariffs, they wouldn't be doing that.

0:31:44.280 --> 0:31:46.840
<v Speaker 16>So it takes a little while to get those facilities built.

0:31:46.840 --> 0:31:49.160
<v Speaker 16>But they're coming in with big, big numbers. They're all

0:31:49.200 --> 0:31:52.800
<v Speaker 16>coming in with big numbers. We have more moneys being

0:31:52.840 --> 0:31:55.560
<v Speaker 16>spent than any at any time in the history of

0:31:55.560 --> 0:31:58.719
<v Speaker 16>our country. We're up to close to eight trillion dollars,

0:31:58.760 --> 0:32:02.320
<v Speaker 16>I think I can say, and really it's going to

0:32:02.320 --> 0:32:04.320
<v Speaker 16>be a lot higher than that. Those are just the

0:32:04.320 --> 0:32:05.920
<v Speaker 16>ones that we know about. Eight trillion.

0:32:07.080 --> 0:32:09.160
<v Speaker 4>I'm not going to say, but I don't think.

0:32:09.320 --> 0:32:11.840
<v Speaker 16>I'm not sure if Biden did a trillion for four years,

0:32:11.880 --> 0:32:16.440
<v Speaker 16>one trillions, but we're eight trillion for two months, because

0:32:16.560 --> 0:32:19.560
<v Speaker 16>let's give us a pass. On the first month, we

0:32:19.560 --> 0:32:22.080
<v Speaker 16>were sort of getting a little bit used to things.

0:32:22.440 --> 0:32:25.640
<v Speaker 16>But after two months we have eight trillion dollars. There

0:32:25.640 --> 0:32:28.760
<v Speaker 16>has never been a number like that, and that includes

0:32:28.920 --> 0:32:34.080
<v Speaker 16>chip companies, car companies, every form of manufacturing, high tech companies.

0:32:34.960 --> 0:32:36.560
<v Speaker 4>Nobody's ever seen anything like it.

0:32:36.680 --> 0:32:42.480
<v Speaker 16>So eight trillion dollars, I can talk about gross domestic product,

0:32:42.600 --> 0:32:45.720
<v Speaker 16>gross domestic investment. I can talk about a lot of things,

0:32:45.760 --> 0:32:48.560
<v Speaker 16>but to me, the biggest numbers the kind of numbers

0:32:48.600 --> 0:32:52.040
<v Speaker 16>that are and these people are coming in. Our Secretary

0:32:52.080 --> 0:32:56.200
<v Speaker 16>of Commerce spent the weekend he went down to Arizona

0:32:56.240 --> 0:32:58.280
<v Speaker 16>to see what was happening with the chip the biggest

0:32:58.360 --> 0:33:02.880
<v Speaker 16>chip company in the world, and he said, Howard, he said, you've.

0:33:02.680 --> 0:33:05.120
<v Speaker 4>Never seen anything like it. You want to just describe

0:33:05.120 --> 0:33:05.680
<v Speaker 4>what you saw.

0:33:06.120 --> 0:33:10.160
<v Speaker 17>So they're investing one hundred and sixty five billion dollars

0:33:10.160 --> 0:33:14.600
<v Speaker 17>in eleven hundred acres in Arizona and they're building the

0:33:14.680 --> 0:33:20.120
<v Speaker 17>highest tech chip manufacturing semi conductors and four thousand employees.

0:33:20.440 --> 0:33:25.040
<v Speaker 17>You know American trade craft, right, technicians doing every kind

0:33:25.080 --> 0:33:29.000
<v Speaker 17>of work. The classic foundation of America is building it.

0:33:29.000 --> 0:33:33.040
<v Speaker 4>They have fourteen thousand people. They're expecting forty thousand people to.

0:33:32.960 --> 0:33:35.400
<v Speaker 17>Build the rest of their plants and to employ twenty

0:33:35.440 --> 0:33:37.200
<v Speaker 17>thousand people for the rest of time.

0:33:37.240 --> 0:33:39.480
<v Speaker 4>And it is old driven. You never saw a site

0:33:39.480 --> 0:33:40.400
<v Speaker 4>type and this is.

0:33:40.400 --> 0:33:43.640
<v Speaker 17>Old driven by your tower policies, no chance to be

0:33:43.720 --> 0:33:44.720
<v Speaker 17>happening with having.

0:33:45.760 --> 0:33:48.040
<v Speaker 16>It's going to be about forty percent of the chip

0:33:48.080 --> 0:33:50.480
<v Speaker 16>market from that one section. And this is the biggest

0:33:50.560 --> 0:33:52.840
<v Speaker 16>chip maker they have ninety nine percent of the market.

0:33:53.440 --> 0:33:54.520
<v Speaker 4>They come from Taiwan.

0:33:55.320 --> 0:33:58.200
<v Speaker 16>And unlike the Chip Act, which was done by Biden,

0:33:58.200 --> 0:34:00.400
<v Speaker 16>where they hand everybody billions of dollars, the thing they

0:34:00.440 --> 0:34:02.800
<v Speaker 16>don't need is money. They got plenty of money. What

0:34:02.880 --> 0:34:05.480
<v Speaker 16>they need is an incentive to come in and the tariffs.

0:34:05.760 --> 0:34:08.400
<v Speaker 16>They're building because of the tariffs. If without the tariffs,

0:34:08.440 --> 0:34:11.880
<v Speaker 16>and I'd like to say they're building because of November fifth,

0:34:12.200 --> 0:34:14.080
<v Speaker 16>the election and the tariffs.

0:34:13.640 --> 0:34:15.680
<v Speaker 4>But I'm going to building more blunder.

0:34:15.840 --> 0:34:19.120
<v Speaker 16>They're building because of the tariffs, and November fifth gave

0:34:19.200 --> 0:34:24.040
<v Speaker 16>them the tariffs. So it's amazing when you look and

0:34:24.400 --> 0:34:26.600
<v Speaker 16>these are not companies that go out and say, well,

0:34:26.600 --> 0:34:28.759
<v Speaker 16>we're going to build, we have to go get our financing.

0:34:28.840 --> 0:34:33.600
<v Speaker 16>Let's go like we would in New York. Everybody would look.

0:34:33.680 --> 0:34:35.319
<v Speaker 16>You know, you'd get a building site and then you'd

0:34:35.320 --> 0:34:37.640
<v Speaker 16>look around for money, you look around for financing for

0:34:37.719 --> 0:34:41.040
<v Speaker 16>six months, you'd get your financing, you'd build your building.

0:34:41.080 --> 0:34:43.200
<v Speaker 16>The market would be good, you'd make money. The market

0:34:43.239 --> 0:34:45.040
<v Speaker 16>would be bad, it wouldn't be so pretty. You'd have

0:34:45.080 --> 0:34:45.799
<v Speaker 16>to negotiate.

0:34:45.880 --> 0:34:46.560
<v Speaker 4>Bab bab bob.

0:34:47.080 --> 0:34:49.200
<v Speaker 16>This is different. These people have so much money they

0:34:49.239 --> 0:34:52.359
<v Speaker 16>don't know what to do. They are asked, howard did

0:34:52.360 --> 0:34:54.960
<v Speaker 16>they finance it? No, they do it through cash, and

0:34:55.000 --> 0:34:57.880
<v Speaker 16>they stay that site. And they just started, you know,

0:34:58.280 --> 0:35:01.080
<v Speaker 16>they just announced it like a month ago and they've

0:35:01.080 --> 0:35:01.800
<v Speaker 16>already started.

0:35:01.840 --> 0:35:04.040
<v Speaker 4>He said, I've never seen a sight like it's so big.

0:35:04.800 --> 0:35:07.360
<v Speaker 16>So you know, you're talking about a fifty essentially a

0:35:07.400 --> 0:35:08.800
<v Speaker 16>fifty billion dollar building.

0:35:08.840 --> 0:35:09.560
<v Speaker 4>Now, if you built a.

0:35:09.480 --> 0:35:12.640
<v Speaker 16>Warehouse for fifty million dollars, that's a big warehouse gotten,

0:35:13.440 --> 0:35:16.520
<v Speaker 16>but a fifty billion dollar building, that's a lot.

0:35:16.600 --> 0:35:17.120
<v Speaker 4>They're building.

0:35:17.160 --> 0:35:20.719
<v Speaker 16>The electric they're building, They've become a utility, and I'm

0:35:20.760 --> 0:35:22.799
<v Speaker 16>giving him the right to become. They're going to build

0:35:22.800 --> 0:35:25.600
<v Speaker 16>their own electric They're going to build their own electricity,

0:35:25.640 --> 0:35:27.680
<v Speaker 16>which they need tremendous amounts of electricity.

0:35:27.760 --> 0:35:29.040
<v Speaker 4>They're gonna build it themselves.

0:35:29.480 --> 0:35:32.600
<v Speaker 16>Anything they have looked, you know, left over, they'll hook

0:35:32.680 --> 0:35:35.480
<v Speaker 16>that into the grid. But the grid is old and

0:35:35.480 --> 0:35:38.480
<v Speaker 16>they're unreliable, and bad things can happen to grids. I said,

0:35:38.480 --> 0:35:40.920
<v Speaker 16>if you want, you can hook into the grid, but

0:35:41.440 --> 0:35:44.440
<v Speaker 16>that's a little bit risky, or you can build your

0:35:44.480 --> 0:35:45.279
<v Speaker 16>own electricity.

0:35:45.280 --> 0:35:46.000
<v Speaker 4>Have become your.

0:35:45.920 --> 0:35:49.719
<v Speaker 16>Own utility, and they, I think in all cases, are

0:35:49.760 --> 0:35:50.759
<v Speaker 16>deciding to do that.

0:35:51.400 --> 0:35:53.840
<v Speaker 4>So it's very exciting and we have a lot of

0:35:53.880 --> 0:35:54.520
<v Speaker 4>things going.

0:35:55.560 --> 0:35:58.680
<v Speaker 16>We took over on January twenty of these are quarterly reports.

0:35:58.719 --> 0:36:02.959
<v Speaker 16>We took over on January twentieth. The tariffs haven't kicked

0:36:02.960 --> 0:36:05.200
<v Speaker 16>in yet. I know that, and I don't want this

0:36:05.320 --> 0:36:07.960
<v Speaker 16>to happen, but I know that China is doing very

0:36:08.000 --> 0:36:11.040
<v Speaker 16>poorly right now. I just saw some reports coming out,

0:36:11.080 --> 0:36:12.720
<v Speaker 16>and I don't want that to happen to China.

0:36:12.880 --> 0:36:13.440
<v Speaker 4>I like the.

0:36:13.440 --> 0:36:17.000
<v Speaker 16>President a lot. President she, I don't want it to happen.

0:36:17.000 --> 0:36:20.120
<v Speaker 16>I was actually sanden to hear it. But they are

0:36:20.160 --> 0:36:25.880
<v Speaker 16>getting absolutely hammered in China. And you know, they're sending boats,

0:36:25.880 --> 0:36:30.080
<v Speaker 16>the biggest boats in the world, carrying cargo like nobody's

0:36:30.120 --> 0:36:32.319
<v Speaker 16>ever seen before. These are the biggest boats in the world,

0:36:32.360 --> 0:36:35.040
<v Speaker 16>biggest cargo ships in the world, and they're coming and

0:36:35.040 --> 0:36:38.040
<v Speaker 16>they're turning around in the Pacific Ocean. They're doing a

0:36:38.040 --> 0:36:40.880
<v Speaker 16>big u turney going back because they don't want to

0:36:41.000 --> 0:36:44.080
<v Speaker 16>do this because one hundred and forty five percent tariff.

0:36:44.160 --> 0:36:45.960
<v Speaker 16>But at a certain point, I hope we're going to

0:36:46.320 --> 0:36:48.440
<v Speaker 16>make a deal with China. We're talking to China, but

0:36:48.440 --> 0:36:51.839
<v Speaker 16>their factories are closing all over China because we're not.

0:36:51.760 --> 0:36:54.160
<v Speaker 4>Taking their product. We don't want their product.

0:36:54.160 --> 0:36:55.880
<v Speaker 16>Unless they're going to be fair with us, and that

0:36:55.920 --> 0:36:58.600
<v Speaker 16>includes intellectual property and other things. There are a lot

0:36:58.640 --> 0:37:02.319
<v Speaker 16>of things far beyond just by sell. So we'll see

0:37:02.320 --> 0:37:05.520
<v Speaker 16>what happens. But you know I was not because somebody said, well,

0:37:05.520 --> 0:37:07.360
<v Speaker 16>were you happy? I said, I am not happy. I

0:37:07.360 --> 0:37:09.800
<v Speaker 16>want you on it to do well. I want every

0:37:09.840 --> 0:37:12.640
<v Speaker 16>country to do well, but they have to treat us

0:37:12.680 --> 0:37:13.360
<v Speaker 16>fairly also.

0:37:13.520 --> 0:37:15.759
<v Speaker 18>So with that, I think we're going to maybe go

0:37:15.840 --> 0:37:21.120
<v Speaker 18>around and we have some letters where the secretaris and

0:37:21.239 --> 0:37:25.160
<v Speaker 18>people around the table are making statements about how they're

0:37:25.200 --> 0:37:27.960
<v Speaker 18>doing and what's happening. And I could start with Pete

0:37:28.480 --> 0:37:32.040
<v Speaker 18>on the left, because he's my least controversial person.

0:37:31.840 --> 0:37:35.719
<v Speaker 4>At the world. I don't know how good he is.

0:37:36.320 --> 0:37:38.560
<v Speaker 4>So we'll go around the table and you can hear it.

0:37:38.600 --> 0:37:41.879
<v Speaker 16>And these are cabinet meetings where they're very open and transparent,

0:37:41.960 --> 0:37:44.600
<v Speaker 16>and I can guarantee you Biden didn't do this.

0:37:45.200 --> 0:37:47.600
<v Speaker 4>He didn't do this. Go ahead, be well, mister president.

0:37:47.960 --> 0:37:50.000
<v Speaker 4>I think we're controversial because we're over the target.

0:37:50.880 --> 0:37:54.000
<v Speaker 19>And like so many things, mister President, you inherited a

0:37:54.040 --> 0:37:55.520
<v Speaker 19>demoralized military.

0:37:55.640 --> 0:37:56.480
<v Speaker 4>It couldn't recruit.

0:37:56.880 --> 0:37:59.400
<v Speaker 19>It was perceived as weak after what happened in Afghanistan

0:37:59.480 --> 0:38:02.120
<v Speaker 19>and elsewhere because of Joe Biden, and what we have

0:38:02.200 --> 0:38:05.479
<v Speaker 19>seen since your election and the inauguration has been nothing

0:38:05.480 --> 0:38:06.920
<v Speaker 19>short of a recruiting renaissance.

0:38:09.280 --> 0:38:09.840
<v Speaker 4>Decades.

0:38:09.920 --> 0:38:12.200
<v Speaker 20>It has been been decades since we've seen this kind

0:38:12.239 --> 0:38:13.359
<v Speaker 20>of recruiting in the.

0:38:13.400 --> 0:38:15.400
<v Speaker 4>Army, the Navy, the Marine Corps, the Air Force.

0:38:15.719 --> 0:38:18.239
<v Speaker 20>The men and women of America want to join the

0:38:18.320 --> 0:38:22.080
<v Speaker 20>United States military led by President Donald Trump, and the police,

0:38:22.239 --> 0:38:23.960
<v Speaker 20>by the ways, and fire.

0:38:24.360 --> 0:38:26.600
<v Speaker 4>I always mentioned the fire, but the police and fire.

0:38:26.719 --> 0:38:29.839
<v Speaker 16>But the police and fire likewise are I mean they

0:38:29.840 --> 0:38:32.360
<v Speaker 16>have waiting lists now and six months ago as a

0:38:32.400 --> 0:38:33.160
<v Speaker 16>disaster of.

0:38:33.200 --> 0:38:37.160
<v Speaker 20>Truly historic we can barely absorb the volume and retention

0:38:37.280 --> 0:38:39.640
<v Speaker 20>as well, men and women in the military who don't

0:38:39.640 --> 0:38:42.200
<v Speaker 20>want to get out now that they have a real commander,

0:38:42.200 --> 0:38:45.239
<v Speaker 20>a chief. We're reinforcing standards. We're going to be fit,

0:38:45.840 --> 0:38:49.600
<v Speaker 20>not fat in our formations. Welcome back all the COVID

0:38:50.040 --> 0:38:53.200
<v Speaker 20>The folks that were forced out because of the COVID mandate,

0:38:53.960 --> 0:38:55.320
<v Speaker 20>ripped woiteness.

0:38:54.840 --> 0:38:58.440
<v Speaker 4>Out of the military, Star DEI trans.

0:38:57.840 --> 0:39:02.040
<v Speaker 20>And it's Fort Benning and were bragg again at the

0:39:02.120 --> 0:39:04.600
<v Speaker 20>DoD We're rebuilding the military SERP.

0:39:04.880 --> 0:39:08.320
<v Speaker 4>The Golden Dome is well under way. F forty seven.

0:39:08.480 --> 0:39:10.320
<v Speaker 4>Reassuring allies and deterring enemies.

0:39:10.440 --> 0:39:13.680
<v Speaker 2>We found nearly President Trump in a cabinet meeting. We

0:39:13.800 --> 0:39:17.080
<v Speaker 2>leave it on Peter hag Seth, of course, talking about defense,

0:39:17.200 --> 0:39:20.240
<v Speaker 2>but so much said when it comes to the GDP figure,

0:39:20.280 --> 0:39:23.520
<v Speaker 2>for example, and Trump blaming perhaps the decline that we've

0:39:23.520 --> 0:39:25.560
<v Speaker 2>seen the worse since twenty twenty two, on what he

0:39:25.600 --> 0:39:28.640
<v Speaker 2>inherited from the Biden administration, talking about core GDP actually

0:39:28.719 --> 0:39:31.120
<v Speaker 2>being up, taking a while to get domestic facilities built.

0:39:31.239 --> 0:39:32.280
<v Speaker 11>He went to Howard Luckneck.

0:39:32.320 --> 0:39:35.000
<v Speaker 2>Of course, the comments secretary talking about the TSMC investment

0:39:35.000 --> 0:39:37.600
<v Speaker 2>in Arizona, Key and Tech. Also is the fact that

0:39:37.640 --> 0:39:40.440
<v Speaker 2>tarifs haven't yet kicked in, he says, And they know

0:39:40.480 --> 0:39:43.200
<v Speaker 2>that China is currently doing very poorly, but he wants

0:39:43.280 --> 0:39:46.359
<v Speaker 2>China to do well. Let's get the analysis me leg

0:39:46.440 --> 0:39:48.960
<v Speaker 2>Kayly Lions is joining us. And what's so interesting about

0:39:48.960 --> 0:39:51.239
<v Speaker 2>that core GDP number that he says, I'm assuming he's

0:39:51.239 --> 0:39:53.600
<v Speaker 2>trying to reflect the final sales of domestic purchases or

0:39:53.640 --> 0:39:57.160
<v Speaker 2>GDP based excluding inventory or international trade. But this is

0:39:57.200 --> 0:40:00.319
<v Speaker 2>all about international trade implications acts.

0:40:00.480 --> 0:40:03.120
<v Speaker 21>That's exactly right, Caroline, and he referred to that surge

0:40:03.160 --> 0:40:05.640
<v Speaker 21>we saw in imports, which of course detracted from GDP

0:40:05.760 --> 0:40:08.000
<v Speaker 21>as just being a distortion, kind of echoing what we

0:40:08.040 --> 0:40:10.640
<v Speaker 21>heard from his trade advisor Peter Navarro that said, this

0:40:10.680 --> 0:40:13.120
<v Speaker 21>is the best negative GDP print he's ever seen because

0:40:13.120 --> 0:40:15.800
<v Speaker 21>it shows that countries want to sell to the US.

0:40:15.840 --> 0:40:17.840
<v Speaker 21>Although another way of reading the data, of course, is

0:40:17.880 --> 0:40:21.240
<v Speaker 21>that US companies are d really trying to get everything

0:40:21.280 --> 0:40:23.920
<v Speaker 21>they can from other countries in before the tariffs fully

0:40:23.960 --> 0:40:26.040
<v Speaker 21>take effects. So clearly the White House trying to spin

0:40:26.160 --> 0:40:28.440
<v Speaker 21>this as still being the Biden economy, or, as President

0:40:28.480 --> 0:40:30.719
<v Speaker 21>Trump said earlier, the Biden stock market, although he has

0:40:30.800 --> 0:40:33.600
<v Speaker 21>now passed a hundred days in office. As he makes

0:40:33.600 --> 0:40:36.040
<v Speaker 21>his way though calling on different sec secretaries in the

0:40:36.040 --> 0:40:38.560
<v Speaker 21>Cabinet around the table, it'll be interesting to hear from

0:40:38.600 --> 0:40:41.319
<v Speaker 21>the Treasury Secretary, Scott Besson, in particular around what we

0:40:41.440 --> 0:40:44.200
<v Speaker 21>just heard from the President on China, a suggestion that

0:40:44.239 --> 0:40:46.480
<v Speaker 21>he does want to make a deal and that talks

0:40:46.520 --> 0:40:48.759
<v Speaker 21>are happening. The White House has repeatedly said this, even

0:40:48.800 --> 0:40:52.880
<v Speaker 21>though China maintains that no negotiations have actually begun, so

0:40:52.880 --> 0:40:54.640
<v Speaker 21>we'll see if we get a status update from beston

0:40:54.719 --> 0:40:57.080
<v Speaker 21>on that or on other deals. Keeping in mind of

0:40:57.120 --> 0:41:00.080
<v Speaker 21>course that uh, the ninety day window is rapidly shrinking,

0:41:00.120 --> 0:41:02.440
<v Speaker 21>and they are trying to bring on short investment to

0:41:02.440 --> 0:41:04.680
<v Speaker 21>the United States in that time, or at least get

0:41:04.719 --> 0:41:07.880
<v Speaker 21>commitments from companies. He was referring to that as domestic

0:41:07.920 --> 0:41:10.720
<v Speaker 21>facilities taking a while to be built. But the TSMC

0:41:11.120 --> 0:41:13.760
<v Speaker 21>call out in particular interesting to hear from the Commerce

0:41:13.800 --> 0:41:16.520
<v Speaker 21>Secretary and the President because those are actually investment pledges

0:41:16.520 --> 0:41:20.880
<v Speaker 21>that were initially made during the Biden administration. TSMC received

0:41:20.880 --> 0:41:23.719
<v Speaker 21>money from the Chips Act in order to build those

0:41:23.719 --> 0:41:26.279
<v Speaker 21>facilities in Arizona. And yes, a new facility has just

0:41:26.320 --> 0:41:29.000
<v Speaker 21>broken ground, so an expansion of what we saw during

0:41:29.040 --> 0:41:31.640
<v Speaker 21>the Biden years, but it is still worth noting where

0:41:31.680 --> 0:41:35.279
<v Speaker 21>that investment initially came from, so we may hear more

0:41:35.280 --> 0:41:37.240
<v Speaker 21>about that. Keeping in mind as well that President Trump

0:41:37.320 --> 0:41:39.680
<v Speaker 21>is expected to speak from the White House again later

0:41:39.680 --> 0:41:42.279
<v Speaker 21>today four pm Eastern Time for a speech that's being

0:41:42.320 --> 0:41:44.080
<v Speaker 21>built about investment in America.

0:41:44.640 --> 0:41:47.840
<v Speaker 2>Katie lines, we appreciate it wrapping up for us. Meanwhile,

0:41:47.840 --> 0:41:49.879
<v Speaker 2>we've got plenty more happening in Washington, and A Marie

0:41:49.880 --> 0:41:53.640
<v Speaker 2>Hoddan has just been chatting with Palanis CTO Shom Sanka

0:41:53.880 --> 0:41:56.279
<v Speaker 2>early today as part of the Helen Valley Form. Now

0:41:56.280 --> 0:41:58.359
<v Speaker 2>it's a summit focused on how tech com bolston national

0:41:58.360 --> 0:42:01.160
<v Speaker 2>security in the US manufacturing. He discussed his perspective on

0:42:01.200 --> 0:42:04.000
<v Speaker 2>the military industrial complex under Trump administration.

0:42:04.080 --> 0:42:04.640
<v Speaker 11>Just take listen.

0:42:05.719 --> 0:42:07.600
<v Speaker 22>I think this is an opportunity to really fix a

0:42:07.600 --> 0:42:09.600
<v Speaker 22>lot of the problems that have built up over the

0:42:09.640 --> 0:42:11.680
<v Speaker 22>last thirty or so years since the end.

0:42:11.600 --> 0:42:12.239
<v Speaker 5>Of the Cold War.

0:42:12.560 --> 0:42:14.040
<v Speaker 22>If you go back to what it was like, what

0:42:14.280 --> 0:42:15.400
<v Speaker 22>did the industrial base look.

0:42:15.280 --> 0:42:17.000
<v Speaker 8>Like when we were winning World War Two?

0:42:17.239 --> 0:42:21.279
<v Speaker 22>In the early Cold War, it was actually a very

0:42:21.280 --> 0:42:25.200
<v Speaker 22>different economic structure. Chrysler built cars and missiles. We had

0:42:25.239 --> 0:42:27.720
<v Speaker 22>a Deputy Secretary of Defense that was the co founder

0:42:27.719 --> 0:42:30.719
<v Speaker 22>of HP. Bill Perry was the co founder of a

0:42:30.760 --> 0:42:33.600
<v Speaker 22>Silicon Valley startup before he became Secretary of Defense. So

0:42:33.640 --> 0:42:37.680
<v Speaker 22>it's a return to the functioning cross pollination of innovation

0:42:37.760 --> 0:42:40.600
<v Speaker 22>that's always existed and been in the bedrock of how

0:42:40.640 --> 0:42:41.880
<v Speaker 22>the American economy worked.

0:42:42.239 --> 0:42:45.719
<v Speaker 7>Fifty percent of pallanteers revenue comes from government contracts. Do

0:42:45.719 --> 0:42:48.360
<v Speaker 7>you expect that level to stay the same? Will accelerate

0:42:48.440 --> 0:42:49.640
<v Speaker 7>under the Trump administration.

0:42:50.160 --> 0:42:53.320
<v Speaker 22>I think it's been that way for a pretty long time. Obviously,

0:42:53.360 --> 0:42:57.040
<v Speaker 22>we started entirely government. The commercial sector is bigger. It's

0:42:57.040 --> 0:42:59.480
<v Speaker 22>growing very, very rapidly. But I think there's something quite

0:42:59.480 --> 0:43:02.280
<v Speaker 22>healthy about having this diversified R and D base where

0:43:02.680 --> 0:43:05.800
<v Speaker 22>everything we're learning and inventing in the very dynamic American

0:43:05.920 --> 0:43:09.840
<v Speaker 22>private sectors actually benefiting our national security and broader functioning

0:43:09.840 --> 0:43:12.160
<v Speaker 22>of government. You know, we were able to develop and

0:43:12.200 --> 0:43:15.640
<v Speaker 22>deploy the operation Warp speed supply chain in two weeks

0:43:15.640 --> 0:43:17.680
<v Speaker 22>because actually two years prior, we had solved a very

0:43:17.680 --> 0:43:20.480
<v Speaker 22>structurally similar problem for VP and oil and gas. And

0:43:20.520 --> 0:43:23.120
<v Speaker 22>you really cannot connect those dots prospectively. You can only

0:43:23.200 --> 0:43:26.800
<v Speaker 22>see that retrospectively. And that's exactly what happened with SpaceX.

0:43:26.800 --> 0:43:28.440
<v Speaker 22>You know, when I was a kid growing up in

0:43:28.480 --> 0:43:30.200
<v Speaker 22>the shadow of the Space Coast, it used to cost

0:43:30.200 --> 0:43:32.440
<v Speaker 22>fifty thousand dollars a kilogram to get to orbit on

0:43:32.480 --> 0:43:35.840
<v Speaker 22>the Shuttle with Starship heavy reuse. It's now ten to

0:43:35.880 --> 0:43:38.400
<v Speaker 22>twenty bucks. I'm not missing any zeros there, you know.

0:43:38.640 --> 0:43:41.360
<v Speaker 22>It's just wild innovation that comes from that cross palmination.

0:43:41.680 --> 0:43:44.880
<v Speaker 22>This happened with Intel and in the late sixties, ninety

0:43:44.920 --> 0:43:47.880
<v Speaker 22>six percent of Intel's revenue actually came from the Apollo program.

0:43:48.000 --> 0:43:51.520
<v Speaker 22>It was effectively a government contractor. But actually Bob Noys,

0:43:51.600 --> 0:43:53.880
<v Speaker 22>the inventor of the transistor, the CEO of Intel, he

0:43:54.000 --> 0:43:56.640
<v Speaker 22>always had a vision that integrated circuits were going to

0:43:56.680 --> 0:44:00.799
<v Speaker 22>be in every consumer device, and he invested in that

0:44:01.080 --> 0:44:04.279
<v Speaker 22>capability and in the seventies and eighties that enabled us

0:44:04.280 --> 0:44:06.479
<v Speaker 22>to build a salt breaker, which meant that we didn't

0:44:06.520 --> 0:44:08.719
<v Speaker 22>have to match the Soviets weapon for weapon. We could

0:44:08.719 --> 0:44:11.080
<v Speaker 22>actually build smarter weapons and have many fewer of them

0:44:11.080 --> 0:44:13.320
<v Speaker 22>that we could afford and still have deterrence.

0:44:13.800 --> 0:44:16.479
<v Speaker 7>So even if your government revenue comes down, it's because

0:44:16.520 --> 0:44:18.400
<v Speaker 7>you're making money elsewhere in the private sector.

0:44:18.440 --> 0:44:19.720
<v Speaker 22>Yeah, And to be clear, I don't think the revenue

0:44:19.760 --> 0:44:20.880
<v Speaker 22>is going to come down, It's just that they're going

0:44:20.920 --> 0:44:22.239
<v Speaker 22>to be differential growths here.

0:44:22.520 --> 0:44:23.480
<v Speaker 5>Yeah.

0:44:23.640 --> 0:44:26.960
<v Speaker 3>That was Palenteer CTO Scham Sanka along with Bloomberg's A

0:44:27.040 --> 0:44:28.280
<v Speaker 3>Marie Horden Cary.

0:44:28.560 --> 0:44:31.320
<v Speaker 2>I'm coming up investors, I Big Tech Earning said, we

0:44:31.400 --> 0:44:34.080
<v Speaker 2>got Meta, we got Microsoft. They're reporting after the bell

0:44:34.400 --> 0:44:40.880
<v Speaker 2>plenty more on those ahead. That's Bloomberg Technology.

0:44:45.640 --> 0:44:49.280
<v Speaker 3>Turning back to earnings investors eagerly awaiting big tech names

0:44:49.360 --> 0:44:51.920
<v Speaker 3>Meta and Microsoft after the bell and carry like it's

0:44:51.960 --> 0:44:56.160
<v Speaker 3>really a simple equation for Microsoft AI costs capex. It's

0:44:56.200 --> 0:44:58.440
<v Speaker 3>a good story to follow because that's how anyone cares

0:44:58.480 --> 0:44:59.120
<v Speaker 3>about really and.

0:44:59.040 --> 0:45:01.000
<v Speaker 2>Are they sinking to about eight billion? What happens in

0:45:01.040 --> 0:45:04.319
<v Speaker 2>the next year, And what's so interesting is the geopolitical implications.

0:45:04.360 --> 0:45:07.160
<v Speaker 2>You just spotted a Microsoft blog today saying we're still

0:45:07.160 --> 0:45:09.520
<v Speaker 2>expanding our data center footprint in Europe.

0:45:09.760 --> 0:45:12.840
<v Speaker 3>Right They're going to add data centers across sixteen countries,

0:45:12.880 --> 0:45:14.360
<v Speaker 3>they said in this blog post. With the timing of

0:45:14.360 --> 0:45:17.120
<v Speaker 3>it's like very curious. I said to the guests earlier,

0:45:17.320 --> 0:45:19.680
<v Speaker 3>We've all used Microsoft software, m paid for it for

0:45:19.680 --> 0:45:21.799
<v Speaker 3>a long time. And now investors maybe a little bit

0:45:21.840 --> 0:45:24.200
<v Speaker 3>of going like okay, investment. Yeah, but showed me a

0:45:24.200 --> 0:45:26.120
<v Speaker 3>bit of like the end result of all of this.

0:45:26.000 --> 0:45:29.759
<v Speaker 2>And where have analysts and investors reorientated their numbers going

0:45:29.800 --> 0:45:30.239
<v Speaker 2>into this.

0:45:30.320 --> 0:45:32.200
<v Speaker 11>Of course this quarter is not the real tell. It's

0:45:32.200 --> 0:45:32.879
<v Speaker 11>going to be next quarter.

0:45:32.920 --> 0:45:36.439
<v Speaker 2>But Microsoft has sixty five buys on it zero cell.

0:45:37.000 --> 0:45:39.080
<v Speaker 3>Yeah, it's still like the darling of whatever it is

0:45:39.120 --> 0:45:41.799
<v Speaker 3>that's happening in AI. Like Meta also interesting, maybe even

0:45:41.800 --> 0:45:45.120
<v Speaker 3>more straightforward as a story like Google. Yeah, we track

0:45:45.200 --> 0:45:48.000
<v Speaker 3>the capital expenditures. It's a big operator of data centers itself.

0:45:48.200 --> 0:45:51.560
<v Speaker 3>But is its core AD business able to sustain the spending?

0:45:51.880 --> 0:45:54.480
<v Speaker 2>And what about the implications that snapped the read across

0:45:54.520 --> 0:45:58.640
<v Speaker 2>Already sheen already Temu bringing back their spending on ads

0:45:58.719 --> 0:46:02.799
<v Speaker 2>in real time, Will Mark Zuckerberg will seasonally signal that

0:46:03.040 --> 0:46:05.120
<v Speaker 2>for the current quarter we're already in, not just the

0:46:05.160 --> 0:46:06.720
<v Speaker 2>backward looking quarter that they've achieved.

0:46:06.719 --> 0:46:08.640
<v Speaker 3>And very quickly then you remember that in twenty four

0:46:08.680 --> 0:46:10.920
<v Speaker 3>as I was time to go again with Apple and

0:46:10.960 --> 0:46:12.440
<v Speaker 3>Amazon relentless.

0:46:12.040 --> 0:46:14.960
<v Speaker 2>Ye brace yourself. And I'm so pleased that he sat

0:46:15.040 --> 0:46:17.480
<v Speaker 2>right next to me here in New York. Meanwhile, that

0:46:17.480 --> 0:46:19.359
<v Speaker 2>does it for this edition of Blue Meg Technology. Don't

0:46:19.360 --> 0:46:21.200
<v Speaker 2>forget to check out our podcast. Find it on the

0:46:21.280 --> 0:46:24.520
<v Speaker 2>terminal as well as online on Apple, Spotify, and iHeart

0:46:24.920 --> 0:46:26.880
<v Speaker 2>from New York for the next couple of days.

0:46:27.160 --> 0:46:28.320
<v Speaker 11>This is Blue Meg Technology.