WEBVTT - Apple's Big US Investment, Musk's Federal Worker Orders

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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>Live from New York Home.

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<v Speaker 3>Caroline Hyde and I'm Jackie Devallis in San Francisco.

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<v Speaker 4>This is Bloomberg Technology. Coming up.

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<v Speaker 5>Apple to spend five hundred billion dollars in the US

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<v Speaker 5>and boost hiring as it seeks relief from Trump's tariffs.

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<v Speaker 2>Plus Microsoft cancels some leases for US data center capacity.

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<v Speaker 5>According to td count analysts, has the company's AI.

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<v Speaker 2>Computing strategy changed.

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<v Speaker 5>We discuss and a look at how Elon Musk's of

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<v Speaker 5>federal worker orders to justify their jobs as dividing the

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<v Speaker 5>Trump administration. But first we check in on markets that

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<v Speaker 5>once again full we were down hard on Friday. We

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<v Speaker 5>continue on the lower side of by nine ten percent,

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<v Speaker 5>bouncing off our lows, but still near the inter day

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<v Speaker 5>woes of the day on the Nasdaq one hundred. Dig

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<v Speaker 5>into what's the point higher and the drags. More broadly,

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<v Speaker 5>Apple has been bouncing around on the back of its

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<v Speaker 5>news that we're currently up six tens percent on the

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<v Speaker 5>juggernaut that is going to be investing five hundred billion

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<v Speaker 5>dollars here in the United States, and they deed adding

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<v Speaker 5>twenty thousand jobs, but less than forty billion per year

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<v Speaker 5>increase on previous spending habits.

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<v Speaker 2>Is this all that new we're going to discuss.

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<v Speaker 5>But Microsoft really the watchword of the day when it

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<v Speaker 5>comes to a point stragger off by more than a

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<v Speaker 5>percentage point. This is as Microsoft is potentially in an

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<v Speaker 5>oversupply position coming to its data center capacity. A Friday

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<v Speaker 5>note from Tdcawen via Channel checks they say they're avoiding

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<v Speaker 5>leases in the US totally a couple of hundred megawatts.

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<v Speaker 5>They're checking on the fact that there might be a

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<v Speaker 5>pullback and converting certain statements of qualification and note today

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<v Speaker 5>they say they may be shifting workloads, reallocating from the

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<v Speaker 5>US from abroad. Microsoft has thus far declined to comment

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<v Speaker 5>on this particular note, but they do reiterate their spending target.

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<v Speaker 5>Let's talk it through with one of the analysts on

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<v Speaker 5>those notes, TD Cowen's Michael Elliots. It is great to

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<v Speaker 5>have you on, Michael and short to us about the

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<v Speaker 5>nuance you have been speaking to potential suppliers here and

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<v Speaker 5>with channel checks what for you discovered, Yes.

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<v Speaker 6>So I flagged for you that going back to September

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<v Speaker 6>of twenty twenty four, we started to identify i's like

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<v Speaker 6>pullback on the part of Microsoft related to activity that

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<v Speaker 6>they had in certain markets in the US that continued

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<v Speaker 6>in October of twenty twenty four, and as we highlighted

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<v Speaker 6>in a report that we published in January, we really

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<v Speaker 6>did see Microsoft take a step back from the market

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<v Speaker 6>in a more meaningful way related to Davis on leases

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<v Speaker 6>that they were in process on, not things that had

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<v Speaker 6>been fined, but things that they.

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<v Speaker 7>Were working on. You know, this is a continuation of that.

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<v Speaker 6>You know, we're seeing them pair bad on some of

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<v Speaker 6>the incremental leasing activity that they previously were contemplating.

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<v Speaker 7>But I really want to emphasize here. You know, as

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<v Speaker 7>we think about the.

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<v Speaker 6>Activity levels of the Microsoft, what we're seeing is we're

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<v Speaker 6>still seeing them being active.

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<v Speaker 7>It seems like we're.

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<v Speaker 6>Seeing a shift in the location in which they're looking

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<v Speaker 6>to take capacity. You know, there's been a talk from

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<v Speaker 6>the Microsoft CEO around inference and the need for to

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<v Speaker 6>generate revenue, and we're seeing them look for capacity in

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<v Speaker 6>and around.

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<v Speaker 7>Their existing cloud availability zones.

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<v Speaker 6>Now I'll leave it to you to interpret, you know

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<v Speaker 6>what that could potentially mean.

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<v Speaker 7>But I want to emphasize that we are still seeing them.

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<v Speaker 6>Be active in the market and in areas where we've

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<v Speaker 6>seen signed leases be impacted.

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<v Speaker 7>It really has more to do.

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<v Speaker 6>With power delays at the facility level rather than a

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<v Speaker 6>wholesale pullback from leases that they had found.

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<v Speaker 3>Michael, our own Bloomberg intelligence analyst, noted this morning that

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<v Speaker 3>this report, along with such Jinadella's comments on a podcast

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<v Speaker 3>last week, suggested that perhaps they're shifting the strategy more

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<v Speaker 3>toward renting rather than building from scratch. How do you

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<v Speaker 3>view this strategy?

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<v Speaker 7>Can you hear me?

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<v Speaker 4>Yes? How would you view the strategy?

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<v Speaker 8>You know?

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<v Speaker 6>So, what I would say to you is that historically

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<v Speaker 6>we've seen a mix of data center leafing and self

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<v Speaker 6>builds be done. It's the two of them are part

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<v Speaker 6>of the go to market around data centers. You know,

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<v Speaker 6>we've seen more leasing historically out of the third party

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<v Speaker 6>data center operators with Microsoft, and we have historically and

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<v Speaker 6>I think that's a function of the accelerated demand needs

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<v Speaker 6>associated with AI. Now, over time, do we think that

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<v Speaker 6>Microsoft could shift more to a self build strategy? There's

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<v Speaker 6>a potential for that certainly as a.

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<v Speaker 7>Bank and accelerate the development pipeline. But one of the.

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<v Speaker 6>Messages that I want to be clear here for your

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<v Speaker 6>views is that we're still seeing broad demand strength in

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<v Speaker 6>terms of overall data center demand. Right we see Microsoft

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<v Speaker 6>is in the market, will be it to a lesser

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<v Speaker 6>degree we're seeing or will be very active, particularly on

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<v Speaker 6>the Hills of Stargate project. We're seeing in terms of Google,

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<v Speaker 6>they're ramping their demands, same with Meta, while Amazon is

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<v Speaker 6>said all in all, we're seeing very strong data center demand.

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<v Speaker 3>That's td Cowan analyst Michael Elias, thank you so much

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<v Speaker 3>for joining us. Now, let's look at other stories today.

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<v Speaker 3>Apple planning to hire twenty thousand new workers and produce

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<v Speaker 3>AI service here in the US. That's along with a

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<v Speaker 3>five hundred billion dollar domestic investment over the next four years.

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<v Speaker 3>Bloomberg Intelligence analysts and Agrana joins us now to discuss

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<v Speaker 3>arak break down what Apple's plans are for this investment.

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<v Speaker 9>So when you look at it, unlike the other big

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<v Speaker 9>tech companies, Apples not ramped up its CAPEX so far

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<v Speaker 9>because they're really in the you know, they believe in

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<v Speaker 9>going out and renting some of this stuff from other

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<v Speaker 9>cloud providers, you know, whether that's Aws or Google Lord,

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<v Speaker 9>you know, you know, the other vendors that are out there.

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<v Speaker 9>What it seems to me now that because of the

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<v Speaker 9>importance of AI for their products and services, they want

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<v Speaker 9>to do some of this in house. They talked about

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<v Speaker 9>AI servers, so we anticipate that to be an area. Second,

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<v Speaker 9>we think it could be the AI models itself. They

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<v Speaker 9>could spend a lot of money on R and D

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<v Speaker 9>over there. And the third is, you know, semiconductor manufacturing,

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<v Speaker 9>not manufacturing, but designing, and then you know, use those

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<v Speaker 9>designs to get those ships manufactured with TSFC for example.

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<v Speaker 5>The crop say for many Anna Rag is how much

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<v Speaker 5>things have changed or not. Can you just give us

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<v Speaker 5>a view whether this is as certain analysts would know,

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<v Speaker 5>once again Tim Cook being a rather good politician, or

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<v Speaker 5>is this a general change in direction for Apple.

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<v Speaker 7>I think this is a little bit of both.

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<v Speaker 9>I think the bigger dollar amount is a bit staggering,

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<v Speaker 9>to be frank. Now, some of that would go into

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<v Speaker 9>a fund, They'll go into some R and D initiatives,

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<v Speaker 9>so some of them may not actually fall down to

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<v Speaker 9>the capex line. The way you know, a financial analyst

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<v Speaker 9>would look at it because it could be an operating

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<v Speaker 9>expense for example. But the AI server part will definitely

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<v Speaker 9>hit CAPEX, and these guys generate about one hundred billion

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<v Speaker 9>of them, so there is an impact on the free

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<v Speaker 9>cash flow line for investors. But I think it's a

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<v Speaker 9>mix of both. There is a need for more high

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<v Speaker 9>tech stuff to being in the US, but it'd be

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<v Speaker 9>very difficult to do the lower and stuff in the

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<v Speaker 9>US in my view. But you know, AI servers and

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<v Speaker 9>A related investments are of importance.

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<v Speaker 3>Aneron do you have a sense of how much this

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<v Speaker 3>is just lip service to kind of fend off perhaps

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<v Speaker 3>some of the threat of tariffs for the company.

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<v Speaker 9>I think it's from an AI side of it.

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<v Speaker 7>They are behind.

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<v Speaker 9>I think I don't think anybody would would say that

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<v Speaker 9>Apple has any of the you know, leading large language

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<v Speaker 9>models or even small language models. Right now. They have

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<v Speaker 9>said okay, they're going to use open ai for their

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<v Speaker 9>particular products. When it comes to you know your crea question,

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<v Speaker 9>it goes to open ai. We think down the road

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<v Speaker 9>they would use other models as well. It's possible they're

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<v Speaker 9>going to use Google's model, but there should be you

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<v Speaker 9>know they should be making an effort to put their

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<v Speaker 9>own models in there as well. Now that's not easy.

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<v Speaker 9>You can understand, you know how much money it's taken

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<v Speaker 9>Opening Eye to come up with these models over the

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<v Speaker 9>last several years. So I think, you know, if they

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<v Speaker 9>are serious about AI on the in their products, you

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<v Speaker 9>know they'll have to spend some money.

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<v Speaker 5>Braybag Intelligence Anna a grana, We thank you. Let's get

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<v Speaker 5>all of this and the context of ongoing tariff concerns

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<v Speaker 5>in the market. Epec Oskodeskia is with US senior market

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<v Speaker 5>analyst at Swiss Code. Look, we analyze the Apple spending

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<v Speaker 5>here in the US in the context of US China relations.

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<v Speaker 2>We think about AI spend.

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<v Speaker 5>What's happening over in China and Ali Baba in the

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<v Speaker 5>context of China and US relations epech How much of

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<v Speaker 5>this is a concern going forward?

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<v Speaker 2>Well right now, we obviously do.

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<v Speaker 10>How a world that has shifted its focus on geopolitical tension,

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<v Speaker 10>so the technology war is just going to get for

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<v Speaker 10>more heated from this from this point on. Especially, we

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<v Speaker 10>thought last year that the Chinese delay was a cum

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<v Speaker 10>but this year, with China coming back on the international

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<v Speaker 10>platform with new AI models, and there is going to

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<v Speaker 10>be some potential in this chip war and the trade

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<v Speaker 10>war and the geopolitical attentions to take in other turn.

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<v Speaker 10>Now for Apple, we actually think that is it looks

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<v Speaker 10>in the actual context of things that it looks like

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<v Speaker 10>more of a political decision to us, and we believe

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<v Speaker 10>that the geopolitically led motivations and business investments could eventually

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<v Speaker 10>destroy long term, medium to long term value for a

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<v Speaker 10>company like Apple.

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<v Speaker 4>In fact, what does.

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<v Speaker 3>This mean for earnings coming up next? I mean this

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<v Speaker 3>week and video major infrastructure player chip making. Now you

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<v Speaker 3>have tariffs as part of another added layer of uncertainty.

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<v Speaker 4>What are you expecting on that front later this week?

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<v Speaker 10>Well, you know what, we expect mb to Nvidia to

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<v Speaker 10>post strong earnings later this week. And we actually believe

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<v Speaker 10>that the high concentration of big technology names in Nvidia's

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<v Speaker 10>client book is going to be a hedge, is going

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<v Speaker 10>to turn into something positive for Nvidia, at least in

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<v Speaker 10>the short term and in the context of geopolitical tensions.

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<v Speaker 10>Because Nvidia has made around fifty percent of its revenues

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<v Speaker 10>from big US technology companies that actually pledge to continue

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<v Speaker 10>to spend big on AI. So we think that Nvidia

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<v Speaker 10>is in quite a protected position from this geopolitical tensions

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<v Speaker 10>point of view.

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<v Speaker 3>The video was hit pretty hard earlier this year when

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<v Speaker 3>deep Sea came out too the scene. How much of

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<v Speaker 3>those concerns have actually died off at this point.

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<v Speaker 10>Well, we were talking about deep Seek a lot, actually,

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<v Speaker 10>and it comes down to the same thing that I

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<v Speaker 10>just said. The concentration of big technology shucks an Nvidia's client,

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<v Speaker 10>but could eventually turn into a positive thing that could

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<v Speaker 10>protect Nvidia's revenues from well cheaper options like deep Seak

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<v Speaker 10>is pretending to have. This being said, Deep Sek also

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<v Speaker 10>said or DeepC is also believed to have used cheaper

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<v Speaker 10>models of Nvidia chips in order to build his own model,

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<v Speaker 10>which means that Nvidia is not necessarily well hits negatively

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<v Speaker 10>Biden News.

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<v Speaker 2>It is just that is.

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<v Speaker 10>Most premium chips could see their own demand plateau. But

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<v Speaker 10>even that in the short one, we think that the

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<v Speaker 10>big technology companies in the.

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<v Speaker 2>US has got the MVS back covered.

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<v Speaker 10>This being said, in the medium to long run, these companies,

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<v Speaker 10>these big technology companies from the US are working on

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<v Speaker 10>their own custom made chips and that is a respector.

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<v Speaker 5>Apeg it feels as though the pressure on in Vidia

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<v Speaker 5>spills over from Fridays when we're worried about ultimately compute

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<v Speaker 5>capacity demand. The note coming from TV care and the

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<v Speaker 5>issues of whether we're thinking that Microsoft is in some

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<v Speaker 5>sort of overcapacity state here just weigh in on whether

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<v Speaker 5>Wednesday and the numbers out of Nvidia might put that

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<v Speaker 5>to rest or not.

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<v Speaker 10>Well, we believe that earning are going to be strong.

0:12:01.160 --> 0:12:03.920
<v Speaker 10>We estimate that the revenues are going to be between

0:12:03.960 --> 0:12:06.400
<v Speaker 10>thirty eight to forty billion US dollar range, closer to

0:12:06.440 --> 0:12:09.400
<v Speaker 10>the top range to closer to forty billion US dollars

0:12:09.720 --> 0:12:12.560
<v Speaker 10>on the launch of black Wild chips and on strong

0:12:12.640 --> 0:12:15.000
<v Speaker 10>AI demand from the big technology clients.

0:12:15.360 --> 0:12:16.240
<v Speaker 2>We also think.

0:12:16.080 --> 0:12:19.320
<v Speaker 10>Actually that the forecasts are going to be optimistic due

0:12:19.360 --> 0:12:22.600
<v Speaker 10>to the Stargate projects and the new pledges from the

0:12:22.600 --> 0:12:26.640
<v Speaker 10>big technology companies to continue spending on AI. This being said,

0:12:26.880 --> 0:12:30.640
<v Speaker 10>the overall market conditions start looking less favorable right now

0:12:30.679 --> 0:12:33.160
<v Speaker 10>than they did last year, and in the sense the

0:12:33.200 --> 0:12:36.800
<v Speaker 10>investors might become a little pickier on the profit margins,

0:12:37.040 --> 0:12:41.199
<v Speaker 10>on the concentration of for big technology clients, on competition,

0:12:41.520 --> 0:12:44.600
<v Speaker 10>but also on the supply chain and capacity constraints.

0:12:44.679 --> 0:12:46.800
<v Speaker 5>So where are you going to fall further? The nasda's

0:12:46.800 --> 0:12:48.880
<v Speaker 5>currently training in the lowest in February. The third, if

0:12:48.880 --> 0:12:50.760
<v Speaker 5>you're looking the nast that one hundred, it feels as

0:12:50.760 --> 0:12:53.280
<v Speaker 5>though China and compute capacity is just going to keep

0:12:53.280 --> 0:12:54.800
<v Speaker 5>pushing pressure on these valuations.

0:12:55.840 --> 0:12:59.080
<v Speaker 10>Definitely. We also think that the investors now start seeing

0:12:59.120 --> 0:13:02.360
<v Speaker 10>potential in Chine, and with high valuations in the US

0:13:02.440 --> 0:13:05.920
<v Speaker 10>technology stocks and this valuation gap, there is potential for

0:13:06.040 --> 0:13:09.240
<v Speaker 10>more funds to feed into the Chinese technology stocks, even

0:13:09.400 --> 0:13:12.560
<v Speaker 10>more so as two major risks for the Chinese technology

0:13:12.559 --> 0:13:14.280
<v Speaker 10>big technology companies.

0:13:13.880 --> 0:13:14.400
<v Speaker 2>Has paid it.

0:13:14.480 --> 0:13:16.720
<v Speaker 10>The first one is the fact that the chip war

0:13:17.040 --> 0:13:20.560
<v Speaker 10>has delayed the AI progress of the Chinese technology companies

0:13:20.600 --> 0:13:23.760
<v Speaker 10>but hasn't stopped it. And the second is the waning

0:13:23.920 --> 0:13:27.320
<v Speaker 10>risk of government where she Jimpin actually showed his support

0:13:27.400 --> 0:13:29.280
<v Speaker 10>to the Chinese big technology leaders.

0:13:30.480 --> 0:13:32.880
<v Speaker 3>What's kind of the time horizon that investors should keep

0:13:32.880 --> 0:13:36.080
<v Speaker 3>in mind if we're really going to start seeing signs

0:13:36.120 --> 0:13:39.880
<v Speaker 3>of China really starting to catch up to American AI players.

0:13:41.600 --> 0:13:45.679
<v Speaker 10>I mean in terms of efficiency and most efficient models.

0:13:45.720 --> 0:13:48.200
<v Speaker 10>I think that we are not there just yet. We

0:13:48.320 --> 0:13:50.480
<v Speaker 10>need to wait at least a few quarters. I will

0:13:50.520 --> 0:13:53.040
<v Speaker 10>say two to three quarters in nord to see what

0:13:53.160 --> 0:13:56.320
<v Speaker 10>the Chinese AI models are worse. But in terms of

0:13:56.480 --> 0:14:00.520
<v Speaker 10>business and the revenues, it's not the best model, most

0:14:00.559 --> 0:14:03.480
<v Speaker 10>efficient models. They are going to make the biggest revenues.

0:14:03.520 --> 0:14:06.079
<v Speaker 10>It is how these AI tools are going to feed

0:14:06.120 --> 0:14:09.680
<v Speaker 10>into services. And in the sense the Chinese technology giants

0:14:09.760 --> 0:14:13.240
<v Speaker 10>like earlybud By intens and they do have huge platforms,

0:14:13.360 --> 0:14:16.160
<v Speaker 10>they do have a huge reach within China and beyond

0:14:16.240 --> 0:14:20.240
<v Speaker 10>China that could eventually turn their AI tools into profits

0:14:20.240 --> 0:14:22.800
<v Speaker 10>without them being as efficient as US peers.

0:14:23.640 --> 0:14:33.080
<v Speaker 3>That's ipek Oscar dish Kaya, thanks so much for joining us.

0:14:34.240 --> 0:14:37.240
<v Speaker 5>El Musk has sent emails to over two million federal

0:14:37.280 --> 0:14:40.120
<v Speaker 5>workers over the weekend asking them to defend their work

0:14:40.240 --> 0:14:42.640
<v Speaker 5>or risk losing their job for the deadline to respond

0:14:42.760 --> 0:14:43.440
<v Speaker 5>by today.

0:14:43.720 --> 0:14:44.400
<v Speaker 2>Now, this order is.

0:14:44.360 --> 0:14:47.960
<v Speaker 5>Actually facing pushback from other powerful figures within the Trump administration,

0:14:48.360 --> 0:14:51.040
<v Speaker 5>with several agencies telling their employees to refrain for responding

0:14:51.080 --> 0:14:54.120
<v Speaker 5>on the email commoes. MaTx Chafkin weighs in for more.

0:14:54.680 --> 0:14:56.720
<v Speaker 5>Who is pushing back here.

0:14:57.320 --> 0:15:01.080
<v Speaker 11>We're seeing pushback from a number of federal agencies, the

0:15:01.240 --> 0:15:04.360
<v Speaker 11>FBI being one of them, and the Department of Defense.

0:15:04.560 --> 0:15:08.320
<v Speaker 11>We've also seen some agencies like the Social Security Administration

0:15:08.640 --> 0:15:10.920
<v Speaker 11>say yeah, you should respond to this email.

0:15:11.120 --> 0:15:12.600
<v Speaker 4>You know, if you need any guidance, let us know.

0:15:12.800 --> 0:15:16.520
<v Speaker 11>So this is I'd say this is probably the pushback

0:15:16.560 --> 0:15:19.880
<v Speaker 11>that we're seeing where where certain agencies are saying don't

0:15:19.920 --> 0:15:23.680
<v Speaker 11>do this. Meanwhile, Musk is tweeting very loudly all weekend

0:15:23.680 --> 0:15:25.560
<v Speaker 11>about how easy it is to respond to this email,

0:15:25.680 --> 0:15:28.400
<v Speaker 11>how reasonable it is. I'd say this is one of

0:15:28.480 --> 0:15:32.320
<v Speaker 11>the more significant fissures we've seen with Elon Musk and

0:15:32.360 --> 0:15:34.720
<v Speaker 11>other figures within the Trump administration.

0:15:35.960 --> 0:15:39.680
<v Speaker 3>Max el Or Musk did this before at Twitter, as

0:15:39.760 --> 0:15:42.320
<v Speaker 3>we've been mentioning on the show for the last couple weeks.

0:15:42.400 --> 0:15:44.360
<v Speaker 3>There is a lot that we can draw from how

0:15:44.400 --> 0:15:47.560
<v Speaker 3>he handled that situation when he did this back then.

0:15:48.000 --> 0:15:51.280
<v Speaker 3>Did he actually consider the responses he was getting back

0:15:51.280 --> 0:15:53.240
<v Speaker 3>from employees or did he just go ahead and fire

0:15:53.280 --> 0:15:54.240
<v Speaker 3>them anyway, Well.

0:15:54.120 --> 0:15:57.480
<v Speaker 11>This is like a slogan that he used to challenge

0:15:57.520 --> 0:16:01.120
<v Speaker 11>people at Twitter. Most memorably, he used it in a

0:16:01.200 --> 0:16:05.000
<v Speaker 11>tweet at the then CEO of Twitter, Prague Argowall, who

0:16:05.080 --> 0:16:08.040
<v Speaker 11>was sort of trying to push back gently against Musk.

0:16:08.080 --> 0:16:10.160
<v Speaker 4>He said, what have you done this week?

0:16:10.360 --> 0:16:10.480
<v Speaker 8>Now?

0:16:10.640 --> 0:16:12.240
<v Speaker 2>Now it's become this kind.

0:16:12.040 --> 0:16:14.440
<v Speaker 11>Of like I said, it's almost like a slogan, and

0:16:14.680 --> 0:16:17.400
<v Speaker 11>Musk has made clear it doesn't seem like he even

0:16:17.440 --> 0:16:18.640
<v Speaker 11>so much cares.

0:16:18.480 --> 0:16:19.320
<v Speaker 2>What people say.

0:16:19.320 --> 0:16:23.360
<v Speaker 11>In fact, he was suggesting that employees use a large

0:16:23.400 --> 0:16:26.840
<v Speaker 11>language model chatbot to respond to the note. It's like

0:16:26.960 --> 0:16:28.960
<v Speaker 11>it's like he wants them to know that he is

0:16:29.040 --> 0:16:32.560
<v Speaker 11>running his Twitter playbook, and that Twitter play book involves

0:16:32.840 --> 0:16:37.240
<v Speaker 11>mass layoffs and also this kind of super aggressive, chaos

0:16:37.320 --> 0:16:40.920
<v Speaker 11>driven let's attack the previous regime and we're seeing all that.

0:16:41.000 --> 0:16:44.400
<v Speaker 11>You can also see why if you're Cash Pattel, the

0:16:44.440 --> 0:16:47.920
<v Speaker 11>new director of the FBI, you might not love some

0:16:48.200 --> 0:16:50.720
<v Speaker 11>other person kind of stirring the pot.

0:16:50.480 --> 0:16:53.440
<v Speaker 2>In this way. But also there's the element of risk.

0:16:53.520 --> 0:16:58.120
<v Speaker 5>The FBI does really important and secret work that perhaps

0:16:58.120 --> 0:17:01.200
<v Speaker 5>they shouldn't be having to vindicate all distribute on a note.

0:17:01.000 --> 0:17:03.320
<v Speaker 11>Right, I mean, the email did say please, don't you know,

0:17:03.360 --> 0:17:07.399
<v Speaker 11>reveal any classified information, So I suppose on some level

0:17:07.800 --> 0:17:10.000
<v Speaker 11>Elon Musk thought about that. But yes, one of the

0:17:10.040 --> 0:17:14.600
<v Speaker 11>reasons we've seen from agencies and sort of people in

0:17:14.680 --> 0:17:17.320
<v Speaker 11>government and a management perspective for saying don't respond to

0:17:17.359 --> 0:17:20.200
<v Speaker 11>this is the risk that you send something that you

0:17:20.200 --> 0:17:22.159
<v Speaker 11>shouldn't have said that. You know, many jobs in the

0:17:22.160 --> 0:17:24.960
<v Speaker 11>federal government deal with sensitive or even secret or top

0:17:24.960 --> 0:17:28.359
<v Speaker 11>secret information, and so yes, that would be a concern

0:17:28.400 --> 0:17:28.760
<v Speaker 11>as well.

0:17:29.800 --> 0:17:30.960
<v Speaker 2>Again it does it.

0:17:30.960 --> 0:17:34.520
<v Speaker 11>It's super unclear what the goal here is beyond just

0:17:34.600 --> 0:17:37.679
<v Speaker 11>creating a pretext to let more people go. And that

0:17:37.840 --> 0:17:39.919
<v Speaker 11>is the thing that Elon Musk has said over and

0:17:39.960 --> 0:17:41.280
<v Speaker 11>over again. It's what he wants to do.

0:17:42.119 --> 0:17:45.000
<v Speaker 3>That's Bloomberg, Max Chaffin, thanks so much for joining us.

0:17:45.200 --> 0:17:47.960
<v Speaker 3>Let's get to DC for more on Musk's impact, this

0:17:48.000 --> 0:17:51.639
<v Speaker 3>time on the Consumer Financial Protection Bureau. The agency is

0:17:51.680 --> 0:17:54.439
<v Speaker 3>one of Musk's first targets where hundreds of workers have

0:17:54.560 --> 0:17:58.280
<v Speaker 3>already lost their jobs. Bloomberg's Tyler Kendall joins us. Now

0:17:58.800 --> 0:18:01.960
<v Speaker 3>this blitz at the CSPB is well under way, Tyler,

0:18:02.119 --> 0:18:07.359
<v Speaker 3>what kind of response has this generated from Republican lawmakers? Well,

0:18:07.440 --> 0:18:11.639
<v Speaker 3>Republican lawmakers, of course, have long targeted the CFPV, saying

0:18:11.640 --> 0:18:15.439
<v Speaker 3>that it poses undo of regulations that they would like

0:18:15.480 --> 0:18:17.800
<v Speaker 3>to see more streamedline. And we should note that there's

0:18:17.840 --> 0:18:20.480
<v Speaker 3>new Bloomberg News reporting that there also seems to be

0:18:20.560 --> 0:18:23.720
<v Speaker 3>some concern among the acting head of the CFPB the

0:18:23.720 --> 0:18:27.760
<v Speaker 3>current OMB director rus Vot Bloomberg News, saying that he

0:18:27.800 --> 0:18:30.480
<v Speaker 3>appears to be voicing some concerns that this process might

0:18:30.480 --> 0:18:33.080
<v Speaker 3>be happening a little too quickly here and that.

0:18:32.960 --> 0:18:36.080
<v Speaker 4>That could open this up to legal scrutiny.

0:18:35.800 --> 0:18:37.280
<v Speaker 8>Which at the end of the day, if it's not

0:18:37.359 --> 0:18:39.399
<v Speaker 8>upheld in court, that could mean none of these changes

0:18:39.480 --> 0:18:42.440
<v Speaker 8>end up being enacted. We should note that a spokesperson

0:18:42.520 --> 0:18:45.240
<v Speaker 8>for Vote does say that no such tensions exist, but

0:18:45.280 --> 0:18:47.760
<v Speaker 8>it doesn't mean that there aren't still legal questions moving

0:18:47.760 --> 0:18:51.440
<v Speaker 8>forward here, particularly considering we're not quite sure what legal

0:18:51.480 --> 0:18:55.800
<v Speaker 8>basis Elon Musk has considering his role as an advisor

0:18:55.840 --> 0:18:59.320
<v Speaker 8>to President Trump to enact such widespread job cuts, although

0:18:59.320 --> 0:19:01.720
<v Speaker 8>it does appear that he does have the backing from

0:19:01.720 --> 0:19:04.040
<v Speaker 8>the White House, considering that just last month, President Trump

0:19:04.080 --> 0:19:07.160
<v Speaker 8>suggested that he wouldn't mind if the CFPB was eliminated.

0:19:08.160 --> 0:19:09.879
<v Speaker 5>Whether or not there are indeed a word about the

0:19:09.880 --> 0:19:12.800
<v Speaker 5>haphazard nature in which they're trying to take down and

0:19:12.840 --> 0:19:15.840
<v Speaker 5>shut off the CFPB. There is a note in that

0:19:16.000 --> 0:19:18.200
<v Speaker 5>same story that the Cato Institute is pointing out here

0:19:18.200 --> 0:19:20.960
<v Speaker 5>that basically, you're taking away the police of Wall Street,

0:19:21.040 --> 0:19:23.760
<v Speaker 5>You're taking away the police of big tech. How is

0:19:23.800 --> 0:19:25.760
<v Speaker 5>woll Streem responding, Because I know you've spoken to Jamie

0:19:25.800 --> 0:19:26.360
<v Speaker 5>Diamond on this.

0:19:27.760 --> 0:19:28.639
<v Speaker 4>Right, Thanks Caroline.

0:19:28.680 --> 0:19:30.600
<v Speaker 8>While I caught up with him on Capitol Hill a

0:19:30.640 --> 0:19:32.280
<v Speaker 8>couple of weeks ago, and I asked him what his

0:19:32.359 --> 0:19:36.040
<v Speaker 8>message to consumers would be if there is no CFPB

0:19:36.160 --> 0:19:38.159
<v Speaker 8>in place, and he said that ultimately he feels that

0:19:38.200 --> 0:19:40.359
<v Speaker 8>other regulators would pick up the slack, whether that be

0:19:40.440 --> 0:19:43.320
<v Speaker 8>the SEC, the OCC, or the FED, and that ultimately

0:19:43.359 --> 0:19:47.760
<v Speaker 8>he supports a holistic approach to restructuring financial regulators. But

0:19:47.840 --> 0:19:49.640
<v Speaker 8>we should say on the other side of this, of course,

0:19:49.680 --> 0:19:52.720
<v Speaker 8>there is big criticism, such as Senator Elizabeth Warren, the

0:19:52.800 --> 0:19:55.840
<v Speaker 8>ranking member on Senate Banking. This is largely considered to

0:19:55.880 --> 0:19:59.080
<v Speaker 8>be her brainchild. She tomorrow is hosting a panel a

0:19:59.200 --> 0:20:01.640
<v Speaker 8>forum to we'll get the way forwards here to see

0:20:01.880 --> 0:20:04.480
<v Speaker 8>what sort of remedies they could implement in order to

0:20:04.600 --> 0:20:05.680
<v Speaker 8>protect consumers.

0:20:05.680 --> 0:20:06.159
<v Speaker 2>We should not.

0:20:06.280 --> 0:20:08.879
<v Speaker 8>She did invite Elon Musk to appear at the forum,

0:20:08.880 --> 0:20:11.119
<v Speaker 8>but we are not expecting him to be in attendance.

0:20:11.440 --> 0:20:14.359
<v Speaker 5>Tyler Kendall, we thank you from Washington. Now coming up

0:20:14.520 --> 0:20:16.040
<v Speaker 5>process agrees to buy.

0:20:15.960 --> 0:20:17.560
<v Speaker 2>Just to Eat in an all cash deal.

0:20:17.880 --> 0:20:20.080
<v Speaker 5>The Dutch tech investor is on a path to become

0:20:20.080 --> 0:20:22.879
<v Speaker 5>a food delivery giant. More on that next, but first,

0:20:23.119 --> 0:20:24.560
<v Speaker 5>just check out what's happening in the world of crypto.

0:20:24.600 --> 0:20:26.199
<v Speaker 5>It's affecting a lot of the single names that are

0:20:26.200 --> 0:20:29.400
<v Speaker 5>related to the space. We're currently at ninety four thousand,

0:20:29.680 --> 0:20:31.800
<v Speaker 5>five hundred dollars let's call it. That is well off

0:20:31.800 --> 0:20:34.280
<v Speaker 5>our one hundred and six thousand dollars highs. We're currently

0:20:34.280 --> 0:20:37.160
<v Speaker 5>trading at the lowest since the start of January, got

0:20:37.240 --> 0:20:39.920
<v Speaker 5>Robin Hurd, falling, MicroStrategy, some of the other crypto related

0:20:40.000 --> 0:20:42.720
<v Speaker 5>names under pressure today. That's, of course, as the rest

0:20:42.720 --> 0:20:44.920
<v Speaker 5>of the market remains concerned around China.

0:20:45.040 --> 0:20:45.960
<v Speaker 2>This is BlueBag.

0:20:45.600 --> 0:20:53.520
<v Speaker 5>Technology time now for Talking Tech and first Up Process

0:20:53.800 --> 0:20:55.720
<v Speaker 5>is said to buy just Deep for four point three

0:20:55.800 --> 0:20:58.600
<v Speaker 5>billion dollars in an all cash deal, making the fourth

0:20:58.680 --> 0:21:01.920
<v Speaker 5>largest food delivery company. Globe Versus CEO for BC Fluency

0:21:02.280 --> 0:21:04.360
<v Speaker 5>is looking for new sources of growth. He spoke about

0:21:04.359 --> 0:21:05.440
<v Speaker 5>the deal earlier on Brimberg.

0:21:06.359 --> 0:21:09.639
<v Speaker 12>Many of the technology companies in Europe, they should be

0:21:09.720 --> 0:21:12.280
<v Speaker 12>valuing more and they should be investing more.

0:21:12.520 --> 0:21:13.920
<v Speaker 7>So I think this is the right.

0:21:13.800 --> 0:21:16.960
<v Speaker 12>Price for the Just Teach shareholders because we're paying a

0:21:17.000 --> 0:21:19.800
<v Speaker 12>good premium. But at the same time, as I just

0:21:19.840 --> 0:21:22.520
<v Speaker 12>told you, the leader company in China is one hundred

0:21:22.560 --> 0:21:25.080
<v Speaker 12>billion dollar company. The leader company in US is one

0:21:25.119 --> 0:21:28.280
<v Speaker 12>hundred billion dollar company. We are invested in just it

0:21:28.920 --> 0:21:31.560
<v Speaker 12>at the right price based on DCF, this is the

0:21:31.640 --> 0:21:36.080
<v Speaker 12>right price to create a real, big, global leader plus.

0:21:35.920 --> 0:21:36.639
<v Speaker 2>Data based company.

0:21:36.680 --> 0:21:39.480
<v Speaker 5>Mongo dB says it's acquiring Voyage AI for two hundred

0:21:39.480 --> 0:21:41.720
<v Speaker 5>and twenty million dollars and the cash and stock deal

0:21:41.800 --> 0:21:45.000
<v Speaker 5>is meant to help Mongo DEBI customers build artificial intelligence

0:21:45.040 --> 0:21:48.760
<v Speaker 5>powered applications deploy them for high states uses. And Tesla

0:21:48.800 --> 0:21:51.240
<v Speaker 5>is preparing a software update for customers over in China

0:21:51.400 --> 0:21:53.880
<v Speaker 5>that will offer driver assistance similar to a full self

0:21:53.960 --> 0:21:56.280
<v Speaker 5>driving future in the United States and will let tesl

0:21:56.359 --> 0:21:58.520
<v Speaker 5>owners who have paid sixty four thousand and one for

0:21:58.720 --> 0:22:01.480
<v Speaker 5>FSD well they can use driver assisted features on the

0:22:01.520 --> 0:22:02.240
<v Speaker 5>city streets.

0:22:02.520 --> 0:22:04.560
<v Speaker 4>Jackie coming out.

0:22:04.720 --> 0:22:07.800
<v Speaker 3>Victoria Spinell from the Business Software Alliance will join us

0:22:07.800 --> 0:22:10.720
<v Speaker 3>to talk about AI regulation under Trump and Warren.

0:22:10.800 --> 0:22:11.600
<v Speaker 4>This is Bloomberg.

0:22:24.760 --> 0:22:26.080
<v Speaker 2>Welcome back to Bloomberg Technology.

0:22:26.080 --> 0:22:28.880
<v Speaker 3>I'm Caroline Hide in New York and I'm Jackie Devalas

0:22:28.920 --> 0:22:30.560
<v Speaker 3>in San Francisco A quick check.

0:22:30.359 --> 0:22:33.119
<v Speaker 5>On these markets because they are under pressure again from

0:22:33.160 --> 0:22:34.680
<v Speaker 5>the NASDAK broader perspective.

0:22:34.680 --> 0:22:36.600
<v Speaker 2>But we dig into some of the key points. Movers

0:22:36.680 --> 0:22:37.280
<v Speaker 2>underneath a.

0:22:37.240 --> 0:22:40.159
<v Speaker 5>Herd Apple on the higher side, committing five or a

0:22:40.200 --> 0:22:42.160
<v Speaker 5>billion dollars over the next four or five years, We're

0:22:42.160 --> 0:22:43.720
<v Speaker 5>going to be getting twenty thousand.

0:22:43.359 --> 0:22:45.960
<v Speaker 2>New York jobs in the United States.

0:22:46.320 --> 0:22:49.080
<v Speaker 5>Yes, this does really focus on the server building side

0:22:49.080 --> 0:22:49.360
<v Speaker 5>of things.

0:22:49.400 --> 0:22:50.560
<v Speaker 2>BI really showing that this.

0:22:50.480 --> 0:22:53.000
<v Speaker 5>Is a shift and focus, even if perhaps it's just

0:22:53.080 --> 0:22:55.640
<v Speaker 5>only a little uptick from previous investment rounds. You're looking

0:22:55.640 --> 0:22:58.240
<v Speaker 5>at Microsoft down one point two percent. Are we seeing

0:22:58.240 --> 0:23:01.800
<v Speaker 5>over capacity in data center? Her capacity for the Microsoft?

0:23:01.800 --> 0:23:04.760
<v Speaker 5>More broadly, that is what TD Cowan asserts Microsoft saying

0:23:04.800 --> 0:23:06.840
<v Speaker 5>they are committed to that eighty billion dollar spend or

0:23:06.880 --> 0:23:08.880
<v Speaker 5>under pressure. Move on to the individual names that also

0:23:08.920 --> 0:23:10.840
<v Speaker 5>keep an eye on. When it comes to Palenteer now

0:23:10.880 --> 0:23:13.280
<v Speaker 5>trading its lowests back at the beginning of February, we're

0:23:13.320 --> 0:23:16.440
<v Speaker 5>down seven percent. It's still trades at one hundred and

0:23:16.520 --> 0:23:18.440
<v Speaker 5>seventy one times future earnings.

0:23:18.560 --> 0:23:19.920
<v Speaker 2>This is an extraordinary valuation.

0:23:20.040 --> 0:23:22.600
<v Speaker 5>But with cuts coming at the Department of Defense, is

0:23:22.680 --> 0:23:25.359
<v Speaker 5>Palenteer more broadly under pressure the market thing, so in

0:23:25.400 --> 0:23:26.480
<v Speaker 5>video off by quarter percent.

0:23:26.480 --> 0:23:27.880
<v Speaker 2>Remember their numbers come on Wednesday.

0:23:27.920 --> 0:23:32.120
<v Speaker 5>Can they indicate the AI compute demands that are really

0:23:32.160 --> 0:23:34.359
<v Speaker 5>being questioned in the market. Let's talk about AI demands,

0:23:34.359 --> 0:23:36.280
<v Speaker 5>and let's talk about Ali Baba. The Chinese company is

0:23:36.320 --> 0:23:38.840
<v Speaker 5>pledging more than fifty three billion on AI infrastructure over

0:23:38.880 --> 0:23:41.000
<v Speaker 5>the next three years. The goal marks one of China's

0:23:41.160 --> 0:23:44.960
<v Speaker 5>biggest AI infrastructure budgets. Ali Baba looks towards becoming a

0:23:45.040 --> 0:23:48.080
<v Speaker 5>leader in the space. Bloomberg Intelligence analyst man Neet Singh

0:23:48.200 --> 0:23:50.359
<v Speaker 5>showing a big sell off. Look, fifty three billion, it

0:23:50.359 --> 0:23:52.879
<v Speaker 5>seems peanuts and comparison to Microsoft and.

0:23:52.880 --> 0:23:55.359
<v Speaker 2>The others, but it is notable in China.

0:23:55.520 --> 0:23:57.439
<v Speaker 13>Yeah, and look, when you look at a company like

0:23:57.480 --> 0:24:00.720
<v Speaker 13>Ali Baber, cloud business is about a six billion dollar

0:24:00.840 --> 0:24:04.040
<v Speaker 13>run rate, So compare that to Microsoft around eighty billion

0:24:04.119 --> 0:24:07.360
<v Speaker 13>and Amazon AWS said over one hundred billion. So it's

0:24:07.400 --> 0:24:10.959
<v Speaker 13>still relatively small, but it's heading in the right direction

0:24:11.040 --> 0:24:14.320
<v Speaker 13>in terms of growth rates. So remember cloud growths had

0:24:14.359 --> 0:24:17.359
<v Speaker 13>decelerated across the board in the case of Alibaba is

0:24:17.359 --> 0:24:20.360
<v Speaker 13>picking up and it's driven by AI. So it's not

0:24:20.480 --> 0:24:23.919
<v Speaker 13>surprising that Ali Baba and I expect Tenson to do

0:24:24.040 --> 0:24:27.120
<v Speaker 13>the same in terms of ramping up Capex because they've

0:24:27.160 --> 0:24:30.320
<v Speaker 13>seen the playbook in the West in terms of companies

0:24:30.680 --> 0:24:34.199
<v Speaker 13>investing in Capex and that translating into cloud growth.

0:24:35.359 --> 0:24:37.639
<v Speaker 3>Mandy, it's not just about cutting a check. Talk to

0:24:37.680 --> 0:24:39.920
<v Speaker 3>us about some of the challenges that Ali Baba could

0:24:39.960 --> 0:24:43.080
<v Speaker 3>face as it undertakes such a significant investment.

0:24:43.800 --> 0:24:46.480
<v Speaker 13>I mean, look when it comes to you know, Ali

0:24:46.520 --> 0:24:49.960
<v Speaker 13>Baba and tens and there's always that overhang in terms of,

0:24:50.000 --> 0:24:53.280
<v Speaker 13>you know, what could happen in terms of the CCP

0:24:53.560 --> 0:24:57.280
<v Speaker 13>and you know, change in regulation. So clearly that threat

0:24:57.400 --> 0:24:59.600
<v Speaker 13>is there. But I look at you know, the Capex

0:24:59.640 --> 0:25:03.080
<v Speaker 13>opportun unity they have in terms of ramping up their

0:25:03.119 --> 0:25:06.800
<v Speaker 13>cloud business, and it's pretty obvious there is a lot

0:25:06.840 --> 0:25:10.360
<v Speaker 13>of demand from local companies like deep Seak to consume

0:25:10.440 --> 0:25:14.320
<v Speaker 13>you know, cloud compute, and I think that's why this

0:25:14.720 --> 0:25:18.280
<v Speaker 13>trend probably is one of the probably one of the

0:25:18.320 --> 0:25:20.439
<v Speaker 13>earliest innings if I can think of, you know, if

0:25:20.480 --> 0:25:22.840
<v Speaker 13>you go back in time in terms of how Microsoft

0:25:22.840 --> 0:25:26.080
<v Speaker 13>and Amazon and Google have seen their cloud growth accelerate

0:25:26.119 --> 0:25:29.840
<v Speaker 13>over the past four quarters, I would expect something similar

0:25:29.920 --> 0:25:31.200
<v Speaker 13>for from these companies.

0:25:31.200 --> 0:25:34.800
<v Speaker 5>But they can get access to the most powerful, most

0:25:34.840 --> 0:25:37.600
<v Speaker 5>expensive chips, and Ali Barba look at the move today

0:25:37.640 --> 0:25:39.760
<v Speaker 5>on the back of what Trump is announcing, wanting to

0:25:39.800 --> 0:25:44.119
<v Speaker 5>curtail even further Chinese ability to buy technology to be

0:25:44.160 --> 0:25:45.439
<v Speaker 5>able to push into chips.

0:25:45.760 --> 0:25:45.960
<v Speaker 8>Yeah.

0:25:46.000 --> 0:25:48.960
<v Speaker 13>Look, I think if they're investing in Capex, they are

0:25:49.280 --> 0:25:52.000
<v Speaker 13>looking to source whatever compute they can get. They may

0:25:52.040 --> 0:25:55.359
<v Speaker 13>not get the latest Blackwall chips, but whatever compute they

0:25:55.400 --> 0:25:58.520
<v Speaker 13>can get to big that to build that big cluster

0:25:58.960 --> 0:26:03.120
<v Speaker 13>and really ramp that up, because ultimately, your companies are

0:26:03.119 --> 0:26:05.600
<v Speaker 13>going to use open source models, they are going to

0:26:05.680 --> 0:26:08.440
<v Speaker 13>leverage AI and what you need is compute. So as

0:26:08.440 --> 0:26:11.840
<v Speaker 13>a cloud business, I think you're somewhat insulated at least

0:26:12.119 --> 0:26:15.119
<v Speaker 13>from what's going on at the geopolitical level, and you

0:26:15.119 --> 0:26:17.720
<v Speaker 13>know there could be restrictions, but they are the best

0:26:17.720 --> 0:26:20.480
<v Speaker 13>position to build that large sized cluster in order to

0:26:20.480 --> 0:26:22.120
<v Speaker 13>satisfy the needs of the companies.

0:26:22.960 --> 0:26:26.400
<v Speaker 3>That's Bloomberg Intelligence analysts Man Deep saying thanks for joining us.

0:26:26.840 --> 0:26:31.160
<v Speaker 3>The Trump administration's focus on trade continues to impact tech companies.

0:26:31.400 --> 0:26:34.840
<v Speaker 3>Apple is seeking relief from President Trump's tariffs on goods

0:26:34.840 --> 0:26:38.359
<v Speaker 3>imported from China with more investments in the US. Trump

0:26:38.440 --> 0:26:42.480
<v Speaker 3>also signed a memorandum on Friday to counter digital services taxes.

0:26:42.840 --> 0:26:45.160
<v Speaker 3>Some countries impost on US tech giants.

0:26:45.560 --> 0:26:46.160
<v Speaker 4>All of this.

0:26:46.280 --> 0:26:48.639
<v Speaker 3>As the US is competing to lead the way in

0:26:48.760 --> 0:26:52.440
<v Speaker 3>AI and quantum computing. Here to unpack the impact of

0:26:52.480 --> 0:26:58.440
<v Speaker 3>these developments is Victoria Espadel, CEO of the Business Software Alliance. Victoria,

0:26:58.520 --> 0:27:02.720
<v Speaker 3>it's pretty clear that President Trump has declared himself pro innovation,

0:27:02.960 --> 0:27:05.760
<v Speaker 3>pro technology, but what do you make of the way

0:27:05.800 --> 0:27:06.760
<v Speaker 3>he's going about it?

0:27:08.840 --> 0:27:11.360
<v Speaker 14>So, as you say, I think the administration has been

0:27:11.440 --> 0:27:14.000
<v Speaker 14>really transparent about what their goals are in terms of

0:27:14.040 --> 0:27:17.280
<v Speaker 14>innovation and competition, and it's interesting to see them approaching

0:27:17.280 --> 0:27:20.560
<v Speaker 14>it in a variety of different ways. Some are focused

0:27:20.560 --> 0:27:23.040
<v Speaker 14>on trying to promote US industry, some are trying to

0:27:23.119 --> 0:27:25.960
<v Speaker 14>are focused on trying to protect US industry, But you're

0:27:25.960 --> 0:27:28.640
<v Speaker 14>seeing this across trade. I think you're going to see

0:27:28.680 --> 0:27:30.879
<v Speaker 14>it in the AI Action Plan that the administration is

0:27:30.880 --> 0:27:33.840
<v Speaker 14>going to be working on soon. We are hoping that

0:27:33.920 --> 0:27:36.400
<v Speaker 14>quantum competitiveness will be part of what the White House

0:27:36.480 --> 0:27:38.159
<v Speaker 14>is focused on. So I think you're going to be

0:27:38.160 --> 0:27:39.520
<v Speaker 14>seeing this in a number of areas.

0:27:40.080 --> 0:27:43.280
<v Speaker 5>Your whole role is advancing enterprise software companies, leadership, and

0:27:43.320 --> 0:27:46.040
<v Speaker 5>global policy, So how much are they having their voices

0:27:46.119 --> 0:27:49.520
<v Speaker 5>heard when we see the latest impact on Digital Services Act.

0:27:49.600 --> 0:27:52.359
<v Speaker 5>But then also what's happening with China and the impact

0:27:52.359 --> 0:27:53.720
<v Speaker 5>that has on an Apple for example.

0:27:55.119 --> 0:27:56.520
<v Speaker 2>So it's you know, you.

0:27:56.520 --> 0:27:58.760
<v Speaker 14>Raise a Digital Services Act. It's true that that's an

0:27:58.760 --> 0:28:02.880
<v Speaker 14>act that has more of a focus on social media companies,

0:28:02.880 --> 0:28:07.440
<v Speaker 14>for example, rather than enterprise software. There are, but there

0:28:07.440 --> 0:28:10.800
<v Speaker 14>are so many impacts that the attrump of administration can have,

0:28:11.160 --> 0:28:14.880
<v Speaker 14>I think, including many in a positive way on enterprise software.

0:28:15.359 --> 0:28:17.360
<v Speaker 14>Some of the issues that are front of mind are

0:28:17.400 --> 0:28:20.400
<v Speaker 14>not ones that are going to be impacted by enterprise

0:28:20.480 --> 0:28:24.120
<v Speaker 14>so for example, speech issues. You know, there's a lot

0:28:24.200 --> 0:28:27.760
<v Speaker 14>that's happening that's really positive from AI enterprise and AI

0:28:27.920 --> 0:28:29.920
<v Speaker 14>software that's not.

0:28:29.840 --> 0:28:31.080
<v Speaker 4>Going to be impacted by those.

0:28:31.160 --> 0:28:33.320
<v Speaker 14>But on the other hand, I think the administration has

0:28:33.359 --> 0:28:37.560
<v Speaker 14>a real opportunity to lead in terms of digital trade.

0:28:38.480 --> 0:28:40.160
<v Speaker 14>I think you have a real opportunity to lead in

0:28:40.240 --> 0:28:43.040
<v Speaker 14>terms of AI adoption. And you know, there's so much

0:28:43.240 --> 0:28:47.160
<v Speaker 14>there's so much focus and attention to building the large

0:28:47.240 --> 0:28:49.880
<v Speaker 14>LM models, and of course that's important, but what we

0:28:50.040 --> 0:28:54.360
<v Speaker 14>really need to have the broadest positive economic impact is

0:28:54.400 --> 0:28:57.840
<v Speaker 14>AI adoption across a wide range of industries, and that

0:28:58.000 --> 0:29:00.560
<v Speaker 14>is something that I think there's real potential for the

0:29:00.560 --> 0:29:01.880
<v Speaker 14>administration to take the lead on.

0:29:02.520 --> 0:29:04.720
<v Speaker 5>And companies have been trying to think of Microsoft and

0:29:04.760 --> 0:29:07.600
<v Speaker 5>really focusing in on the consumer applications with the mastaff

0:29:07.600 --> 0:29:12.080
<v Speaker 5>as Soony when High for example, and proportion of him Victoria.

0:29:12.280 --> 0:29:15.200
<v Speaker 5>What is it then that the companies that you're talking with,

0:29:15.280 --> 0:29:17.840
<v Speaker 5>and that companies currently are trying to navigate and maybe

0:29:18.160 --> 0:29:21.320
<v Speaker 5>be politicking as we see with Tim Cook, What do

0:29:21.360 --> 0:29:23.440
<v Speaker 5>they really want? Is it clarity or is it actually

0:29:23.440 --> 0:29:24.640
<v Speaker 5>that they do want change here?

0:29:26.480 --> 0:29:29.200
<v Speaker 14>So let's talk about AI and what's happening in AI

0:29:29.280 --> 0:29:32.000
<v Speaker 14>regulation And I would say, you know, speaking for enterprise software,

0:29:32.280 --> 0:29:34.880
<v Speaker 14>I think there are at a broad level, there are

0:29:34.920 --> 0:29:38.440
<v Speaker 14>three things that we want. First, we are pro regulation.

0:29:38.600 --> 0:29:41.040
<v Speaker 14>We think it makes sense to have regulation. What we

0:29:41.200 --> 0:29:45.080
<v Speaker 14>don't want is bad regulation. And what I would characteris

0:29:45.120 --> 0:29:49.400
<v Speaker 14>bad regulation is regulation that's unworkable, regulation that is addressing

0:29:49.920 --> 0:29:50.880
<v Speaker 14>the wrong issues.

0:29:51.160 --> 0:29:52.320
<v Speaker 4>So I think that's important.

0:29:52.800 --> 0:29:57.440
<v Speaker 14>Second, there needs to be clarity. One of the hindreds

0:29:57.480 --> 0:29:59.360
<v Speaker 14>is the innovation we have right now is there's so

0:29:59.440 --> 0:30:02.000
<v Speaker 14>much churn the system. Is regulation coming is it not?

0:30:02.120 --> 0:30:04.239
<v Speaker 14>Who will it apply to who will it want, and

0:30:04.280 --> 0:30:07.560
<v Speaker 14>that is an enormous drag on a company's ability to

0:30:07.600 --> 0:30:10.440
<v Speaker 14>innovate and plan forward. And then the third thing that

0:30:10.480 --> 0:30:13.920
<v Speaker 14>we need is consistency. The thing that is even worse

0:30:13.960 --> 0:30:18.560
<v Speaker 14>than lack of clarity is inconsistency across different laws being

0:30:18.600 --> 0:30:21.320
<v Speaker 14>passed by the US States, different laws being passed by

0:30:21.360 --> 0:30:23.959
<v Speaker 14>other countries that are in conflict for on one another.

0:30:24.400 --> 0:30:27.320
<v Speaker 14>And that is even more of a problem if you

0:30:27.360 --> 0:30:29.680
<v Speaker 14>are a small company that is going to have even

0:30:29.720 --> 0:30:33.640
<v Speaker 14>more difficulty dealing with those. So no bad regulation, clarity

0:30:33.720 --> 0:30:38.160
<v Speaker 14>and consistency are three things that are critical if we

0:30:38.200 --> 0:30:39.640
<v Speaker 14>are going to continue to move forward.

0:30:40.600 --> 0:30:43.000
<v Speaker 3>Victoria, you mentioned the small players. A lot of the

0:30:43.040 --> 0:30:45.720
<v Speaker 3>headlines come from the big tech giants, But what do

0:30:45.800 --> 0:30:48.320
<v Speaker 3>some of the policies that you're thinking about. How would

0:30:48.320 --> 0:30:51.920
<v Speaker 3>that affect perhaps some of the smaller technology companies. Would

0:30:51.960 --> 0:30:54.280
<v Speaker 3>it only benefit the large incumbents.

0:30:56.320 --> 0:30:59.920
<v Speaker 14>No, I think actually, in many cases, the biggest positive

0:31:00.040 --> 0:31:03.400
<v Speaker 14>impact will be on the smaller companies, so they won't

0:31:03.440 --> 0:31:07.720
<v Speaker 14>be held down by, for example, unworkable or inconsistent regulation.

0:31:07.960 --> 0:31:08.880
<v Speaker 4>I mean, there's so.

0:31:08.920 --> 0:31:13.240
<v Speaker 14>Much happening in the AI policy space, but here are

0:31:13.280 --> 0:31:15.240
<v Speaker 14>two things that I would emphasize, and I think these

0:31:15.280 --> 0:31:18.760
<v Speaker 14>will have an impact on all companies, including and perhaps

0:31:18.760 --> 0:31:22.480
<v Speaker 14>in particular small companies. One is at the federal level,

0:31:22.520 --> 0:31:25.240
<v Speaker 14>So in terms of what's happening here in Washington, DC,

0:31:26.840 --> 0:31:30.600
<v Speaker 14>a focus on promoting AI adoption is something that we're

0:31:30.640 --> 0:31:33.080
<v Speaker 14>expecting to see and there's been support for that in

0:31:33.120 --> 0:31:36.640
<v Speaker 14>the past, but we're expecting a lot more activity this

0:31:36.720 --> 0:31:40.400
<v Speaker 14>year coming year on AI adoption. But the second thing

0:31:40.440 --> 0:31:43.200
<v Speaker 14>I would say is that any company that wants to

0:31:43.280 --> 0:31:47.040
<v Speaker 14>understand what is happening in AI regulation right now has

0:31:47.120 --> 0:31:49.200
<v Speaker 14>to be looking at what is happening in the states.

0:31:49.640 --> 0:31:53.160
<v Speaker 14>The US States, there's a tremendous amount of activity there.

0:31:53.280 --> 0:31:54.560
<v Speaker 4>We're very focused there.

0:31:54.920 --> 0:31:58.840
<v Speaker 14>You had Colorado pass the first comprehensive AI law last year,

0:31:59.120 --> 0:32:03.280
<v Speaker 14>but now you have Texas, Connecticut, Virginia, California.

0:32:03.320 --> 0:32:06.280
<v Speaker 4>They all want to be next and that the states

0:32:06.360 --> 0:32:08.360
<v Speaker 4>are going to move legislation and regulation.

0:32:08.640 --> 0:32:11.240
<v Speaker 14>So when you're talking about all companies, but in particular

0:32:11.280 --> 0:32:16.080
<v Speaker 14>small companies trying to deal with this the regulation that's

0:32:16.120 --> 0:32:19.040
<v Speaker 14>coming and trying to deal with inconsistencies that we may

0:32:19.160 --> 0:32:21.560
<v Speaker 14>see there, that if that comes to path, that is

0:32:21.600 --> 0:32:23.320
<v Speaker 14>going to be a big drag on innovation.

0:32:23.920 --> 0:32:24.560
<v Speaker 2>Great points.

0:32:24.680 --> 0:32:27.640
<v Speaker 5>Victoria Espinel from the business Software Airlines, thanks so much

0:32:27.640 --> 0:32:30.760
<v Speaker 5>for joining us. Coming up, Steve Jang of kind Adventures

0:32:30.840 --> 0:32:34.160
<v Speaker 5>joins us to discuss how AI policies impacting investment opportunities.

0:32:34.280 --> 0:32:36.920
<v Speaker 5>This is really at an early stage company focus. This

0:32:36.960 --> 0:32:53.720
<v Speaker 5>is bringing back technology.

0:32:56.560 --> 0:32:58.960
<v Speaker 3>On today's VC Spotlight, we take a look at the

0:32:58.960 --> 0:33:02.200
<v Speaker 3>shifting AI land escape as players like deep Sea demonstrate

0:33:02.280 --> 0:33:06.720
<v Speaker 3>potentially cheaper approaches and as the Trump administration focuses on

0:33:06.920 --> 0:33:10.840
<v Speaker 3>US competitiveness in the sector. Steve John from Kindred Ventures

0:33:10.880 --> 0:33:14.000
<v Speaker 3>is here for more. Steve, there's a lot of signaling

0:33:14.200 --> 0:33:16.760
<v Speaker 3>of support, but help us understand what you're seeing from

0:33:16.800 --> 0:33:19.240
<v Speaker 3>your perch to the cap table. Is this all talk

0:33:19.400 --> 0:33:21.320
<v Speaker 3>or is this actually trickling through to some of the

0:33:21.320 --> 0:33:22.280
<v Speaker 3>companies that you're seeing.

0:33:23.160 --> 0:33:27.000
<v Speaker 15>Yeah, I think the big question right now in the

0:33:27.040 --> 0:33:31.160
<v Speaker 15>industry overall is open source versus closed source. And this

0:33:31.200 --> 0:33:34.600
<v Speaker 15>is the overarching theme not only in model pre training

0:33:34.760 --> 0:33:39.080
<v Speaker 15>and availability, but it's also a huge issue across the planet.

0:33:39.320 --> 0:33:43.720
<v Speaker 15>So there's this inevitable movement that's happening where sovereign AI

0:33:44.440 --> 0:33:48.200
<v Speaker 15>is a consistent theme in Asia, Middle East, EU, in

0:33:48.280 --> 0:33:52.120
<v Speaker 15>the US and China. Right and China sits separately from

0:33:52.120 --> 0:33:54.200
<v Speaker 15>a lot of the East Asian countries which are a

0:33:54.240 --> 0:33:57.680
<v Speaker 15>little bit more aligned and open to US models. So

0:33:57.720 --> 0:34:00.840
<v Speaker 15>I think this overall trend that we're saying right now

0:34:01.320 --> 0:34:04.200
<v Speaker 15>is trickling down into who can use these models and

0:34:04.320 --> 0:34:07.880
<v Speaker 15>applications in industries in different sectors that are important and

0:34:07.880 --> 0:34:09.640
<v Speaker 15>critical to each country and region.

0:34:10.640 --> 0:34:14.280
<v Speaker 3>What do you make of who is advising the president

0:34:14.280 --> 0:34:17.319
<v Speaker 3>when it comes to AI policy? David Sachs obviously being

0:34:17.360 --> 0:34:20.680
<v Speaker 3>the AI zar along with Crypto, he is a fan

0:34:20.719 --> 0:34:23.000
<v Speaker 3>of open source. Do you think we could see potential

0:34:23.040 --> 0:34:25.120
<v Speaker 3>action on that front where it can benefit some of

0:34:25.160 --> 0:34:27.200
<v Speaker 3>those open source players here in the US?

0:34:27.600 --> 0:34:30.800
<v Speaker 15>Yeah, And I think you know, regulation in AI especially

0:34:30.960 --> 0:34:33.800
<v Speaker 15>is a double edged sword. You want to promote open

0:34:33.840 --> 0:34:36.959
<v Speaker 15>source to compete with closed source models, and the reason

0:34:36.960 --> 0:34:40.520
<v Speaker 15>why is competition breeds progress, and that trickles down to

0:34:40.640 --> 0:34:43.839
<v Speaker 15>consumers to businesses that use these models. So that's good

0:34:43.880 --> 0:34:46.840
<v Speaker 15>overall for everyone, But by the same token, there's also

0:34:46.880 --> 0:34:49.560
<v Speaker 15>an issue with putting some guardrails around that so that

0:34:49.600 --> 0:34:54.120
<v Speaker 15>there's some safety in alignment for national interests, for mission

0:34:54.120 --> 0:34:59.680
<v Speaker 15>critical industry interests like healthcare, transportation, defense, and things like that.

0:35:00.080 --> 0:35:02.920
<v Speaker 15>So it's a double edged sword for now, and I

0:35:02.920 --> 0:35:06.480
<v Speaker 15>think David Sachs and his team have a good handle

0:35:06.520 --> 0:35:09.200
<v Speaker 15>on that balance and are weighing that. But I think

0:35:09.239 --> 0:35:12.279
<v Speaker 15>that we want to promote open source models, we want

0:35:12.360 --> 0:35:16.080
<v Speaker 15>to promote developer access to these models, but we also

0:35:16.200 --> 0:35:18.319
<v Speaker 15>want to have some level of safety when it comes

0:35:18.320 --> 0:35:19.800
<v Speaker 15>to these mission critical industries.

0:35:20.200 --> 0:35:23.560
<v Speaker 5>Are you okay with therefore? People accessing deep seeks are

0:35:23.600 --> 0:35:24.120
<v Speaker 5>one model?

0:35:24.160 --> 0:35:25.799
<v Speaker 2>For example? Where do you think we are in the

0:35:25.840 --> 0:35:27.000
<v Speaker 2>geopolitics of it all?

0:35:28.360 --> 0:35:31.200
<v Speaker 15>Yeah, And I think there's a lot of political bluster

0:35:31.719 --> 0:35:35.919
<v Speaker 15>and fear that's kind of coursing around media, But really

0:35:35.960 --> 0:35:38.200
<v Speaker 15>what it comes down to is deep Seek is an

0:35:38.200 --> 0:35:41.360
<v Speaker 15>open source model from China that you can download today.

0:35:41.960 --> 0:35:44.320
<v Speaker 15>The weights are exposed, so you can change the weights,

0:35:44.520 --> 0:35:48.040
<v Speaker 15>you can remove all the censorship quote unquote alignment aspects

0:35:48.080 --> 0:35:51.680
<v Speaker 15>of that, and you can host it on US data centers. Perplexity,

0:35:51.880 --> 0:35:55.200
<v Speaker 15>one of our portfolio companies is doing was the first

0:35:55.200 --> 0:35:58.399
<v Speaker 15>company to do that and to provide APIs to developers

0:35:58.400 --> 0:36:01.200
<v Speaker 15>that are a safer version of deep seek that doesn't

0:36:01.200 --> 0:36:04.600
<v Speaker 15>have these issues. North Flank is another company out of

0:36:04.600 --> 0:36:07.000
<v Speaker 15>the UK that is offering within thirty minutes for you

0:36:07.040 --> 0:36:10.040
<v Speaker 15>to download and deploy your own deep Seek version of

0:36:10.080 --> 0:36:14.760
<v Speaker 15>the model on AWS, GCP and Azure within thirty minutes.

0:36:15.080 --> 0:36:18.279
<v Speaker 15>So open source can be problematic if it's coming from

0:36:18.320 --> 0:36:21.359
<v Speaker 15>a country or a region that you don't identify with.

0:36:21.760 --> 0:36:24.319
<v Speaker 15>But the good thing about open source, the strength of it,

0:36:24.360 --> 0:36:26.240
<v Speaker 15>is that you can download it and you can modify

0:36:26.280 --> 0:36:28.120
<v Speaker 15>it and make it safe for your own purposes.

0:36:28.360 --> 0:36:31.680
<v Speaker 3>Another one of your portfolio companies was humane Ai, and

0:36:31.719 --> 0:36:34.719
<v Speaker 3>we talk a lot about the models, the algorithms, but

0:36:34.800 --> 0:36:36.520
<v Speaker 3>what went wrong here? This is kind of one of

0:36:36.600 --> 0:36:39.880
<v Speaker 3>the few consumer applications you can feel in touch.

0:36:40.360 --> 0:36:42.040
<v Speaker 4>What went wrong from your perspective.

0:36:42.200 --> 0:36:45.160
<v Speaker 15>Yeah, Look, I think hardware is hard, and it's hard

0:36:45.200 --> 0:36:48.080
<v Speaker 15>for many reasons that we well understand today. One is

0:36:48.080 --> 0:36:51.840
<v Speaker 15>that it's capital intensive. Number two, you're dependent upon a

0:36:51.840 --> 0:36:54.960
<v Speaker 15>lot of the software development that happens in real time

0:36:55.000 --> 0:36:58.360
<v Speaker 15>while you're developing a much slower, longer cycle hardware and

0:36:58.520 --> 0:37:03.760
<v Speaker 15>operating system roadmaun really big ideas, really you know, game changing,

0:37:03.840 --> 0:37:08.120
<v Speaker 15>see change platforms. To compete with Apple, to compete with Samsung,

0:37:08.160 --> 0:37:11.640
<v Speaker 15>to compete with the existing operating systems requires a long,

0:37:11.880 --> 0:37:14.799
<v Speaker 15>long journey, requires a lot of capital. And these things

0:37:14.800 --> 0:37:17.040
<v Speaker 15>are hard and These are the moonshot bets that venture

0:37:17.080 --> 0:37:20.160
<v Speaker 15>capital is built for and we embrace. So we want

0:37:20.160 --> 0:37:22.719
<v Speaker 15>to see more companies, We want to see more founders

0:37:23.360 --> 0:37:25.440
<v Speaker 15>take those moonshot bets and go for it.

0:37:25.840 --> 0:37:28.000
<v Speaker 5>Ken Inventure his managing partner, it's great to have you.

0:37:28.040 --> 0:37:38.320
<v Speaker 5>Steve Jang an embrace of open source AI models. What

0:37:38.440 --> 0:37:42.360
<v Speaker 5>is helping fuel interest in a cloud platforms such as Lambda.

0:37:42.680 --> 0:37:44.959
<v Speaker 5>The companies just raised four hundred and eighty million dollars

0:37:45.000 --> 0:37:47.359
<v Speaker 5>in its Series D funding round for investors such as

0:37:47.360 --> 0:37:49.799
<v Speaker 5>in Video and arc invest Please to say the CEO,

0:37:49.880 --> 0:37:52.920
<v Speaker 5>Stephen Valavan, joins us now four on eighty million. You're

0:37:52.960 --> 0:37:56.279
<v Speaker 5>building out infrastructure, you're offering software tools to how do

0:37:56.360 --> 0:37:57.280
<v Speaker 5>you spend this money?

0:37:57.760 --> 0:37:59.799
<v Speaker 16>Well, Caroline, thank you so much for having me. I mean,

0:38:00.040 --> 0:38:02.919
<v Speaker 16>we're going to be spending this to continue to build

0:38:02.960 --> 0:38:06.400
<v Speaker 16>out our infrastructure. As a company. We've got over a

0:38:06.440 --> 0:38:10.439
<v Speaker 16>billion dollars of Nvidia powered systems deployed in our data

0:38:10.440 --> 0:38:13.600
<v Speaker 16>centers across the world. We've invested over one hundred million

0:38:13.640 --> 0:38:16.400
<v Speaker 16>dollars in our cloud platform. We're going to continue to

0:38:16.640 --> 0:38:20.120
<v Speaker 16>invest in those two areas, but we've started to expand

0:38:20.160 --> 0:38:22.960
<v Speaker 16>above the stack, so we've got an amazing AI powered

0:38:22.960 --> 0:38:25.520
<v Speaker 16>software platform that allows us to host all the open models.

0:38:25.520 --> 0:38:29.520
<v Speaker 16>We've got hosted deep Seek, We've got hosted Lama uncensored

0:38:29.520 --> 0:38:32.799
<v Speaker 16>deep Seek fine tunes that remove some of the censorship

0:38:32.840 --> 0:38:37.800
<v Speaker 16>and sort of make it more aligned towards Western values.

0:38:38.160 --> 0:38:41.360
<v Speaker 16>And really what we've done is, you know, it also

0:38:41.440 --> 0:38:44.000
<v Speaker 16>hosted that as part of what we call land the Chat,

0:38:44.000 --> 0:38:47.279
<v Speaker 16>which is our hosted open source models. It's an AI

0:38:47.400 --> 0:38:48.120
<v Speaker 16>chat assistant.

0:38:48.320 --> 0:38:49.000
<v Speaker 12>Anyone can go to.

0:38:49.040 --> 0:38:51.960
<v Speaker 16>Land dot Chat and basically get access to our one.

0:38:52.160 --> 0:38:56.080
<v Speaker 5>Okay, so help bring us and our audience clarity on

0:38:56.200 --> 0:38:59.600
<v Speaker 5>where we are in terms of capacity, over capacity, undercapacity,

0:39:00.120 --> 0:39:02.000
<v Speaker 5>it comes to data sentence, when it comes to compute,

0:39:02.040 --> 0:39:04.879
<v Speaker 5>because you've got Microsoft some analyst at td con really

0:39:05.280 --> 0:39:07.680
<v Speaker 5>well getting the market wandering about this once again.

0:39:08.600 --> 0:39:13.120
<v Speaker 16>Yeah, So this is the largest technological revolution we've seen

0:39:13.160 --> 0:39:16.960
<v Speaker 16>in our lifetime, and it is completely fundamentally reshaping the

0:39:17.000 --> 0:39:19.560
<v Speaker 16>way humans interact with computers. And so it's a really

0:39:19.560 --> 0:39:22.719
<v Speaker 16>big deal. It's replacing all the traditional software that's been

0:39:22.719 --> 0:39:25.680
<v Speaker 16>developed over the last fifty years and replacing it with

0:39:25.920 --> 0:39:29.279
<v Speaker 16>a hybrid sort of human and neural software hybrid, and

0:39:29.920 --> 0:39:32.680
<v Speaker 16>that is a big deal. We're going to continue to

0:39:32.719 --> 0:39:36.400
<v Speaker 16>see massive investments. You know, a couple hundred megawatts of

0:39:36.520 --> 0:39:39.480
<v Speaker 16>data center contracts being pulled out, you know, roughly speaking.

0:39:39.480 --> 0:39:42.120
<v Speaker 16>To put that in context for the viewership, it's been

0:39:42.160 --> 0:39:45.480
<v Speaker 16>four and five billion dollars of let's say, equipment capex

0:39:45.520 --> 0:39:48.799
<v Speaker 16>that you're looking at, and that is, you know, not

0:39:48.960 --> 0:39:51.440
<v Speaker 16>really as significant if you look at every single one

0:39:51.480 --> 0:39:54.120
<v Speaker 16>of these companies looking at eighty billion, fifty three billion,

0:39:54.120 --> 0:39:56.520
<v Speaker 16>you know, all these hundreds of billions of dollars that

0:39:56.560 --> 0:39:59.120
<v Speaker 16>are being invested over the next couple of years every year,

0:39:59.680 --> 0:40:02.760
<v Speaker 16>it's I don't think it's as significant as of a story.

0:40:03.960 --> 0:40:04.400
<v Speaker 4>Stephen.

0:40:04.719 --> 0:40:06.520
<v Speaker 3>This is a really big check for you guys, but

0:40:06.600 --> 0:40:09.680
<v Speaker 3>it is getting harder to raise as a late stage startup,

0:40:09.920 --> 0:40:12.560
<v Speaker 3>even when you are in the hottest sector in town.

0:40:13.000 --> 0:40:16.320
<v Speaker 3>How is that affecting your roadmap? Do you see going

0:40:16.400 --> 0:40:19.880
<v Speaker 3>public as the next step or partnering up with a

0:40:19.880 --> 0:40:23.120
<v Speaker 3>different company, a larger incumbent player down the line.

0:40:23.840 --> 0:40:27.680
<v Speaker 16>We are building a long lived, iconic company that is

0:40:27.719 --> 0:40:29.560
<v Speaker 16>going to be here for the next one hundred years.

0:40:29.680 --> 0:40:31.719
<v Speaker 16>That's what we're that's our goal at LAMBDA, and what

0:40:31.760 --> 0:40:35.320
<v Speaker 16>we're trying to do is really focus in on building

0:40:35.440 --> 0:40:37.720
<v Speaker 16>a strong fundamental business.

0:40:37.920 --> 0:40:38.120
<v Speaker 15>You know.

0:40:38.200 --> 0:40:41.200
<v Speaker 16>So last year we shipped over four hundred million dollars

0:40:41.560 --> 0:40:44.680
<v Speaker 16>of top line revenue. We are profitable, that is to say,

0:40:44.719 --> 0:40:48.520
<v Speaker 16>we have a positive operating cash flow, positive EBITDA and

0:40:48.600 --> 0:40:51.239
<v Speaker 16>so I think it's as back to basics. You know,

0:40:51.480 --> 0:40:53.640
<v Speaker 16>all that matters is you build a heavy business. Right

0:40:53.719 --> 0:40:55.960
<v Speaker 16>In the short term, the market is a voting machine,

0:40:56.000 --> 0:40:57.560
<v Speaker 16>and a long term it's a wave machine. So build

0:40:57.600 --> 0:41:00.000
<v Speaker 16>a heavy business and just focus on delighting the customer.

0:41:00.040 --> 0:41:00.760
<v Speaker 16>It's pretty simple.

0:41:02.040 --> 0:41:05.359
<v Speaker 3>Let's talk about talent, because there are some concerns that

0:41:05.440 --> 0:41:08.840
<v Speaker 3>cut to the National Science Foundation kind of broader implications

0:41:09.320 --> 0:41:12.800
<v Speaker 3>on the pool that tech giants and also startups like

0:41:12.840 --> 0:41:16.319
<v Speaker 3>yourself draw from. Jan Lacun mentioning on a post on

0:41:16.360 --> 0:41:18.000
<v Speaker 3>social media this weekend.

0:41:17.840 --> 0:41:20.000
<v Speaker 4>That he was pretty concerned about it. What are your

0:41:20.000 --> 0:41:20.560
<v Speaker 4>thoughts there?

0:41:21.680 --> 0:41:23.640
<v Speaker 16>Well, I think it's really good for us as a

0:41:23.640 --> 0:41:26.680
<v Speaker 16>country to continue to welcome in the best and the

0:41:26.680 --> 0:41:30.080
<v Speaker 16>brightest people from all around the world. I think that

0:41:30.160 --> 0:41:33.759
<v Speaker 16>as a company, you exist within the environment that's set

0:41:33.840 --> 0:41:35.719
<v Speaker 16>up for you, the rules and frameworks that asslp you

0:41:35.760 --> 0:41:39.400
<v Speaker 16>by your sovereign entity around you. And so you know,

0:41:39.640 --> 0:41:41.680
<v Speaker 16>we're just like every other company in the world going

0:41:41.760 --> 0:41:44.880
<v Speaker 16>to be folks faith fased with like whatever the reality

0:41:44.960 --> 0:41:45.480
<v Speaker 16>ends up being.

0:41:46.600 --> 0:41:50.879
<v Speaker 5>From your perspective, what does the landscape of compute look

0:41:50.960 --> 0:41:51.960
<v Speaker 5>like in five years time.

0:41:55.040 --> 0:41:57.120
<v Speaker 16>I think that what we're going to see is with

0:41:57.239 --> 0:42:00.840
<v Speaker 16>these models today it is just starting to crack open

0:42:01.800 --> 0:42:05.880
<v Speaker 16>what I call one shotting, a pretty difficult computer programming problem.

0:42:06.120 --> 0:42:09.239
<v Speaker 16>If you flash back, maybe just two years ago, right,

0:42:09.440 --> 0:42:12.719
<v Speaker 16>you could generate a very basic application. It would have

0:42:12.760 --> 0:42:14.279
<v Speaker 16>some bugs in you'd have to debug it. As a

0:42:14.320 --> 0:42:19.080
<v Speaker 16>software engineer today, I can ask it to generate a

0:42:19.120 --> 0:42:23.040
<v Speaker 16>full video game. I can ask it to generate, for example,

0:42:23.120 --> 0:42:26.960
<v Speaker 16>the land of chat iOS application, and it generates it

0:42:27.040 --> 0:42:29.160
<v Speaker 16>in one shot with no errors. And so to me,

0:42:29.800 --> 0:42:32.480
<v Speaker 16>it's applying that to every piece of software.

0:42:32.040 --> 0:42:32.520
<v Speaker 12>In the world.

0:42:33.200 --> 0:42:34.799
<v Speaker 5>We thank you for coming on, and I'm the CEO,

0:42:34.840 --> 0:42:37.520
<v Speaker 5>Stephen benavan On a big fundraise and that does it

0:42:37.560 --> 0:42:39.120
<v Speaker 5>for this edition of Boomberg Technology.

0:42:39.120 --> 0:42:40.760
<v Speaker 2>You do not want to forget to check out our podcast.

0:42:40.760 --> 0:42:42.000
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0:42:42.000 --> 0:42:44.719
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0:42:44.719 --> 0:42:45.480
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0:42:45.840 --> 0:42:46.560
<v Speaker 2>This is Bloomberg