WEBVTT - ASML's Record Surge, Microsoft Investigates DeepSeek Code

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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 Lovelow.

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<v Speaker 2>Live from New York. I'm Caroline Hyde.

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<v Speaker 3>And I'm Mike Sheppard in San Francisco. This is Bloomberg Technology.

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<v Speaker 4>Coming up asml fights back Deep Seak concerns and surges

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<v Speaker 4>the most since twenty twenty as stronger chip equipment orders,

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<v Speaker 4>Impress plus, did Deep Seek improperly use open ai data?

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<v Speaker 4>Microsoft and open Ai investigate? We have the latest and

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<v Speaker 4>we sit down with T Mobile CEO on the heels

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<v Speaker 4>of the company's standout fourth quarter.

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<v Speaker 2>But first we check in on these markets.

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<v Speaker 4>Remember, folks, it is fed day where we get a

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<v Speaker 4>pause that comes later today.

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<v Speaker 2>But we're off by four tens percent.

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<v Speaker 4>Now's that on the downside, we're being dragged down by

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<v Speaker 4>the like some video Microsoft in the red. Let's move

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<v Speaker 4>on and see what earnings we have coming off after

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<v Speaker 4>the bell because it is thick and fast. Not only

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<v Speaker 4>are we reading from deep Seek, but we've got to.

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<v Speaker 2>Digest the real numbers.

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<v Speaker 4>Microsoft, Meta, Tesla, Apple a little bit later, but tonight,

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<v Speaker 4>we keep an eye on these front three and then

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<v Speaker 4>we think about what we've already had out of the

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<v Speaker 4>bell in Europe and is ASML the chip equipment maker

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<v Speaker 4>managing to fight back some of those anxieties around deep

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<v Speaker 4>seek cheap AA models? Ultimately does it matter for chips?

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<v Speaker 4>For chip equipment ASML surging currently we see up five

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<v Speaker 4>percent in US trading. It was up the most that's

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<v Speaker 4>twenty twenty earlier, Mike, and this was on the back

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<v Speaker 4>of very strong orders.

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<v Speaker 3>And we're staying on ASML and their big earnings. Be

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<v Speaker 3>joining us to discuss this is Bloomberg's Chan coach in Amsterdam.

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<v Speaker 5>Chan.

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<v Speaker 3>There were a surgeon orders in the last quarter for ASML,

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<v Speaker 3>far more than expected. But all of that was before

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<v Speaker 3>the deep Seek revelations. How did the CEO of ASML

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<v Speaker 3>message this to investors today?

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<v Speaker 6>All right?

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<v Speaker 7>CHRISTOSML CEO doubled down on AI. Basically, he thinks Deep

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<v Speaker 7>Seek will be good news for ASML, and his thinking

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<v Speaker 7>is that anyone that lowers cost lowers barriers to entry,

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<v Speaker 7>so lower cost means AI can be used in more applications.

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<v Speaker 7>More applications mean more chips, and more chips would mean

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<v Speaker 7>ASML can sell more machines to chip makers, and they

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<v Speaker 7>think deep sea can lead to democratization of AI, which

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<v Speaker 7>will then create more customers for them charm.

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<v Speaker 3>When we talk about chips, we can't get away from geopolitics.

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<v Speaker 3>How did some of the US restrictions on sales of

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<v Speaker 3>sensitive equipment to China play in the results that we

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<v Speaker 3>saw today?

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<v Speaker 7>Will China accounted for twenty seven percent of ASML sales

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<v Speaker 7>in the fourth quarter, which was down from nearly half

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<v Speaker 7>of its sales in the third quarter. The company expects

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<v Speaker 7>China sales to follow up one fifth of its total

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<v Speaker 7>revenue this year, and they think that their sales in

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<v Speaker 7>China are taking a hit from the prospect of more

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<v Speaker 7>US restrictions under Donald Trump's administration, as well as a

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<v Speaker 7>broader weakness in the chip sector.

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<v Speaker 5>Bloomberg's John Coach, thank you so much, Caro.

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<v Speaker 4>We booke a plenty more earnings and other socks we're

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<v Speaker 4>watching this morning.

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<v Speaker 2>Apple t Mobile.

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<v Speaker 4>In particular, two companies that have been working secretly together.

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<v Speaker 4>We understand ad support for SpaceX is Starling network in

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<v Speaker 4>a surprise release. The tech is now being supported with

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<v Speaker 4>an installation of the iPhone's latest software update on Monday,

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<v Speaker 4>but more on T Mobile because.

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<v Speaker 2>The company, of course is out with this fourth quarter.

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<v Speaker 4>Results beating analyst expectations. The telecom providers saw continued growth

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<v Speaker 4>in wireless subscribers and home internet customers. Get this, adding

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<v Speaker 4>nine hundred and three thousand monthly phone customers and guiding

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<v Speaker 4>from continued strong growth. Joining us now might see that

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<v Speaker 4>his Tmobile CEO. And what's interesting is descend. But you said,

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<v Speaker 4>be cautious about our fourth quarter.

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<v Speaker 2>What changed?

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<v Speaker 8>Well, the only thing I was pointing out back then,

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<v Speaker 8>which maybe was misunderstood, is that it's a seasonal quarter,

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<v Speaker 8>and you know, the last couple of weeks are important.

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<v Speaker 8>But you know, we just are firing on all cylinders.

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<v Speaker 8>We just finished our strongest growth year ever, and we

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<v Speaker 8>finished it strong with a monster Q four that exceeded

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<v Speaker 8>a lot of people's expectations.

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<v Speaker 4>And you're guiding for postpaid net customers to be adding

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<v Speaker 4>up to six million in twenty twenty five. That's a

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<v Speaker 4>big ramp. Where are those customers coming to?

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<v Speaker 8>You know, this is the strongest beginning of year guide

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<v Speaker 8>on new subscribers we've ever given, and.

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<v Speaker 9>It's really simple.

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<v Speaker 8>Our consumer business is firing on all cylinders in the

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<v Speaker 8>top one hundred markets, also smaller markets in rural areas.

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<v Speaker 8>But now our business sector is starting to rise as well.

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<v Speaker 8>And so you look across all the segments. People are

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<v Speaker 8>flocking to.

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<v Speaker 4>T Mobile, governments to New York one of them that

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<v Speaker 4>you've added. But I'm interested that the other competitors out there,

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<v Speaker 4>at and T Verizon they added to where are these

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<v Speaker 4>customers coming from?

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<v Speaker 9>Look this is I like to think about this.

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<v Speaker 8>You know, we're the best house in a great neighborhood.

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<v Speaker 8>I don't need for our competitors to fail in order

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<v Speaker 8>for us to succeed. We are taking share. But also

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<v Speaker 8>the market is vibrant and growing, and people are, you know,

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<v Speaker 8>getting more value out of rate plans. They're buying up

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<v Speaker 8>our rate card. You know, our average revenues per customer

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<v Speaker 8>per month are rising, not because of rising prices, but

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<v Speaker 8>because they're self selecting up our rate card, and that

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<v Speaker 8>allows revenues to rise where nobody else is the loser.

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<v Speaker 4>People need more data. They're going to need more data

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<v Speaker 4>for Generator of AI. Is that become a choke point for.

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<v Speaker 2>You in some way?

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<v Speaker 8>It's going to be a way for us to showcase

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<v Speaker 8>our differentiation you know, both Oukla and Open Signal have

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<v Speaker 8>once again said we ran the gamut in terms of

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<v Speaker 8>network awards and we have the.

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<v Speaker 9>Most capacity by far.

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<v Speaker 8>And so as the demand for our network on AI

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<v Speaker 8>based applications starts to grow, it'll only showcase t mobiles differentiation.

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<v Speaker 8>I think consumers will really be able to see the difference.

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<v Speaker 4>Will consumers care about when they're out without any signal

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<v Speaker 4>and now they're able potentially to tap in to Starlin

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<v Speaker 4>easing team Mobile.

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<v Speaker 8>When we first announced this partnership in twenty twenty two,

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<v Speaker 8>it was the single most covered thing we've ever talked about.

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<v Speaker 8>And that's saying something because our uncarrier moves are big deals.

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<v Speaker 8>This is the biggest one because it speaks to a

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<v Speaker 8>universal pain point in this industry. This is a big

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<v Speaker 8>country and there are five hundred thousand square miles that

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<v Speaker 8>none of the carriers cover. And so now there's our

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<v Speaker 8>vision is so simple. If you can see the sky,

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<v Speaker 8>you're connected and you don't.

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<v Speaker 4>Have to point your phone at it anymore, which is

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<v Speaker 4>what you had to do with an Apple previously. Why

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<v Speaker 4>did you sort of roll it out so secretly? Why

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<v Speaker 4>did it feel like suddenly we woke up and quietly

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<v Speaker 4>you could get onto your T mobile iPhone device when

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<v Speaker 4>we wouldn't have thought it already.

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<v Speaker 8>Honestly, we've been a little self conscious than that. We

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<v Speaker 8>announced this a long time ago, and so it's been

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<v Speaker 8>a couple of years and we didn't want to keep

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<v Speaker 8>crowing about something until it was ready.

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<v Speaker 9>So we made a big.

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<v Speaker 8>Deal out of it when we struck the partnership and

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<v Speaker 8>we said, look, let's just stay quiet until it's time

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<v Speaker 8>to hand people this service. About two weeks ago we

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<v Speaker 8>quietly started letting people into our beta program. We now

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<v Speaker 8>have thousands of users and we're about to throw the

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<v Speaker 8>doors wide open on our beta. It's going to be

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<v Speaker 8>a big moment and then commercial service this year.

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<v Speaker 2>So it's performing well in beta.

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<v Speaker 8>Absolutely, and right now the launches are happening really rapidly.

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<v Speaker 8>So there's well over four hundred satellites. They're low Earth

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<v Speaker 8>orbit satellites, so they're very performant. You mentioned some of

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<v Speaker 8>the differences versus higher level satellites, and people are getting

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<v Speaker 8>a great experience.

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<v Speaker 6>You know.

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<v Speaker 9>Our goal is to.

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<v Speaker 8>Start with text messaging so that you can get your

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<v Speaker 8>texts out regardless of where you are, but it'll very

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<v Speaker 8>quickly move to picture messaging, MMS, data and voice.

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<v Speaker 4>I hate to try and find any clouds when you're

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<v Speaker 4>pointing to silver linings throughout, But when you signal that

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<v Speaker 4>caution in December, Yes, about sort of the cyclicality, but

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<v Speaker 4>ultimately you've had stellar growth after sellar growth. How much

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<v Speaker 4>can you keep on ramping, keep on bringing on more consumers?

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<v Speaker 4>How strong is the consumer sentiment out there?

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<v Speaker 8>It's steady and consistent. I think that's what you want

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<v Speaker 8>from us. You know, one of the things that differentiates

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<v Speaker 8>us is we set out a set of outlooks and

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<v Speaker 8>then we consistently meet or beat them. And what we

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<v Speaker 8>put out today was a strong guide, but it wasn't

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<v Speaker 8>expecting much from our business that we haven't done in

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<v Speaker 8>the past. And so you can rely on the things

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<v Speaker 8>that we say because we look at the trends underneath it.

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<v Speaker 8>And you know, the bottom line is we offer a

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<v Speaker 8>stronger network value proposition, and we offer it at a

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<v Speaker 8>lower price, and at the end of the day, that's

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<v Speaker 8>going to cause people across segments to continue choosing T Mobile.

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<v Speaker 4>What is it that investors in particular a needing at

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<v Speaker 4>this moment to hear from you? I mean you've got

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<v Speaker 4>twenty two buys, only nine holds and only two cells.

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<v Speaker 4>But where are you hearing the questions of caution coming

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<v Speaker 4>from an investor base right?

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<v Speaker 8>Well, they want to know what our next act is,

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<v Speaker 8>you know, And so that's a big piece of what

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<v Speaker 8>we focused on in our Capital Markets day last fall.

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<v Speaker 8>So talk about what comes be on the next couple

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<v Speaker 8>of years, and you know, AI is a big piece

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<v Speaker 8>of it. We're transforming our business operations to be able

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<v Speaker 8>to think about how do we serve customers in the

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<v Speaker 8>era of AI in new ways? And this industry has

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<v Speaker 8>always treated everybody exactly the same, and it's so analogue.

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<v Speaker 8>You go in and spend a Saturday of your life

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<v Speaker 8>in one of our retail stores trying to upgrade your

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<v Speaker 8>family to new phones.

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<v Speaker 9>We know we can do.

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<v Speaker 8>Better, and our Tea Life app that's now in the

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<v Speaker 8>hands of fifty million people can give you an experience

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<v Speaker 8>of T Mobile that's different than somebody else in terms

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<v Speaker 8>of the offers. You may see, the prioritization, the upgrades,

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<v Speaker 8>et cetera. And so it's an exciting moment for us

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<v Speaker 8>to rethink how we serve customers and give each customer

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<v Speaker 8>a fantastic journey with T Mobile.

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<v Speaker 4>What could the phone make has been doing better at

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<v Speaker 4>the moment because ultimately we see Apple getting another downgrade.

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<v Speaker 4>Many worries about China, but we aren't upgrading our phones

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<v Speaker 4>as much as we used to do. You have to

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<v Speaker 4>capitalize on giving the add ons in this moment because

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<v Speaker 4>Samsung and Apple just they're not presenting as new a

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<v Speaker 4>use cases as they used to.

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<v Speaker 9>Well, it works for our business model. I mean, I

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<v Speaker 9>can't speak for them.

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<v Speaker 8>One thing that's happening is upgrade rates have slowed down,

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<v Speaker 8>but they're pretty steady. Prices have risen, so the OEMs

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<v Speaker 8>have made up for it. That way, customers are keeping

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<v Speaker 8>their phones longer. But what you saw with T Mobile

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<v Speaker 8>this time is our upgrade rates did tick up a

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<v Speaker 8>little bit. With the lowest upgrade rates in the industry.

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<v Speaker 8>That's good for our financials. But they started to normalize,

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<v Speaker 8>so they ticked up. I signaled earlier in the quarter

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<v Speaker 8>that our iPhone sales were very strong, and they were,

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<v Speaker 8>and you saw it in our numbers.

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<v Speaker 2>Mike, so great to have you.

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<v Speaker 4>Great to see you again in the back of your earnings.

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<v Speaker 4>Come back soon. Mike's even is a T Mobile CEO,

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<v Speaker 4>Microsoft and open Ai are investigating where the deep seek

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<v Speaker 4>used data output from open AI's technology if it was

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<v Speaker 4>obtained in an unauthorized manner by a group linked to

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<v Speaker 4>the Chinese AI startups, all according to sources. Now, Deep

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<v Speaker 4>Seek and the High Flyer Hedge fund where deep Seak

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<v Speaker 4>was started, have not commented on there's so far, so

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<v Speaker 4>let's discuss it and the data privacy concerns around deep

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<v Speaker 4>seat with Alex Staemosi's chief mentioned security officer at Centinel

0:11:07.320 --> 0:11:11.240
<v Speaker 4>One and former chief security officer at Facebook. Look Alex

0:11:11.440 --> 0:11:14.280
<v Speaker 4>is open ai and indeed other AI labs at the moment.

0:11:14.320 --> 0:11:16.360
<v Speaker 4>Are they right to be concerned about their ip here?

0:11:17.840 --> 0:11:18.640
<v Speaker 9>I think they are.

0:11:19.160 --> 0:11:22.760
<v Speaker 10>There's a lot of people who doubt the claim that

0:11:23.080 --> 0:11:27.959
<v Speaker 10>deepsek was able to build such a incredibly capable model

0:11:28.559 --> 0:11:31.439
<v Speaker 10>with such a little compute and such as little cost

0:11:31.559 --> 0:11:34.280
<v Speaker 10>as they claim. Now there are some great breakthroughs here.

0:11:34.400 --> 0:11:38.640
<v Speaker 10>Deep Seek published at paper that demonstrated great breakthroughs in

0:11:38.679 --> 0:11:42.439
<v Speaker 10>both training cost and inference costs. So inference is what

0:11:42.480 --> 0:11:44.679
<v Speaker 10>you do when you're actually running the model for people

0:11:44.720 --> 0:11:47.920
<v Speaker 10>to use later, and they have some legitimate breakthroughs. So those

0:11:47.920 --> 0:11:50.760
<v Speaker 10>are breakthroughs that to their credit, they have documentary that

0:11:50.840 --> 0:11:52.480
<v Speaker 10>other people are going to be able to use now.

0:11:52.880 --> 0:11:55.360
<v Speaker 10>But there's a lot of people who believe that they

0:11:55.520 --> 0:12:00.000
<v Speaker 10>utilized both open AI's model probably running up in Microsoft's

0:12:00.040 --> 0:12:03.680
<v Speaker 10>Azure service, as well as metas open source models to

0:12:03.840 --> 0:12:07.800
<v Speaker 10>build upon to build Deepseek, And that's what's being investigated.

0:12:07.320 --> 0:12:11.640
<v Speaker 3>Right now, Alex Is there anything that Microsoft and other

0:12:12.480 --> 0:12:16.080
<v Speaker 3>open and open ai and other providers can do to

0:12:16.160 --> 0:12:19.840
<v Speaker 3>perhaps prevent this from happening again? If not deep Seek,

0:12:19.880 --> 0:12:22.040
<v Speaker 3>then perhaps another competitor from China.

0:12:23.240 --> 0:12:25.440
<v Speaker 10>Well, this is the challenge that they're going to have

0:12:25.520 --> 0:12:29.000
<v Speaker 10>that Microsoft's business model is that you can go to

0:12:29.200 --> 0:12:31.920
<v Speaker 10>Microsoft Azure and you can throw down a credit card,

0:12:31.920 --> 0:12:34.400
<v Speaker 10>you can open up an account, and you can ask

0:12:34.480 --> 0:12:38.079
<v Speaker 10>them to create a private copy of open AI's models

0:12:38.080 --> 0:12:40.200
<v Speaker 10>for you that you can use for your own purposes.

0:12:40.920 --> 0:12:45.559
<v Speaker 10>This is how Microsoft plans on monetizing their multi billion

0:12:45.600 --> 0:12:50.079
<v Speaker 10>dollar investment in open Ai. That is a great thing

0:12:50.120 --> 0:12:52.640
<v Speaker 10>for them, that's a great thing in theory for both

0:12:52.720 --> 0:12:55.240
<v Speaker 10>open Ai and the customers that you can have a

0:12:55.320 --> 0:12:58.719
<v Speaker 10>version of open Ai that in theory does not expose

0:12:59.080 --> 0:13:01.959
<v Speaker 10>their model weights to the customer and does not expose

0:13:02.040 --> 0:13:04.960
<v Speaker 10>the customer's private enterprise data to open AI.

0:13:05.520 --> 0:13:07.920
<v Speaker 9>But what has happened is that people have figured.

0:13:07.640 --> 0:13:11.360
<v Speaker 10>Out ways that you can ask a model many many

0:13:11.480 --> 0:13:14.599
<v Speaker 10>millions or billions of questions to suck all of the

0:13:14.679 --> 0:13:17.840
<v Speaker 10>data out of it. So imagine you have an ancient

0:13:18.760 --> 0:13:22.040
<v Speaker 10>wise professor, and you're able to ask that wise professor many, many,

0:13:22.040 --> 0:13:24.360
<v Speaker 10>many questions and then effectively become a.

0:13:24.360 --> 0:13:25.880
<v Speaker 9>Copy of that professor.

0:13:26.400 --> 0:13:29.280
<v Speaker 10>That's exactly what can happen here, except at machine speed.

0:13:29.720 --> 0:13:33.440
<v Speaker 10>You can do that over days, weeks, or months, and

0:13:33.480 --> 0:13:36.600
<v Speaker 10>that is the business model that Microsoft is operating here.

0:13:36.840 --> 0:13:40.360
<v Speaker 10>So detecting that kind of behavior might be theoretically possible,

0:13:40.640 --> 0:13:45.000
<v Speaker 10>but that's also exactly what they're selling. And so I think, yes,

0:13:45.040 --> 0:13:47.480
<v Speaker 10>they're going to look into what Deepseat did here, but

0:13:47.559 --> 0:13:49.720
<v Speaker 10>it will only be a cat and mouse game to

0:13:49.800 --> 0:13:53.080
<v Speaker 10>try to determine whether somebody is actually utilizing the models

0:13:53.080 --> 0:13:55.160
<v Speaker 10>in the way Microsoft wants them to and wants to

0:13:55.160 --> 0:13:57.600
<v Speaker 10>get paid for, and whether or not they're trying to

0:13:57.640 --> 0:13:58.959
<v Speaker 10>actually copy those models.

0:14:00.240 --> 0:14:01.719
<v Speaker 4>Is we want to ask you a little bit more

0:14:01.760 --> 0:14:05.920
<v Speaker 4>about the detail of concerns anxieties privacy. Teresa Peyton joined US.

0:14:05.920 --> 0:14:08.680
<v Speaker 4>She's former CEO for the White House. Here's what she

0:14:08.720 --> 0:14:10.680
<v Speaker 4>had to say about worries on using deep Seat.

0:14:11.840 --> 0:14:16.720
<v Speaker 11>This is an untested app. I would caution people not

0:14:16.920 --> 0:14:21.640
<v Speaker 11>to put too much proprietary company information into it, and

0:14:22.080 --> 0:14:25.320
<v Speaker 11>until there's been an opportunity to actually do something called

0:14:25.400 --> 0:14:29.200
<v Speaker 11>ethical hacking or red teaming pen testing of the actual

0:14:29.280 --> 0:14:32.040
<v Speaker 11>app and learning more about how is your data treated,

0:14:32.080 --> 0:14:35.240
<v Speaker 11>where is it stored, how do the algorithms work. It

0:14:35.360 --> 0:14:38.080
<v Speaker 11>is open source, but things do still need to be

0:14:38.080 --> 0:14:39.200
<v Speaker 11>put through their paces.

0:14:39.440 --> 0:14:41.720
<v Speaker 4>Of course, deep Seat was the number one app downloaded

0:14:41.760 --> 0:14:45.240
<v Speaker 4>on Apple. We've also now got Ali Baba announcing its

0:14:45.320 --> 0:14:49.320
<v Speaker 4>latest powerful AI model. Should similar reticence be used by

0:14:49.440 --> 0:14:50.200
<v Speaker 4>US companies?

0:14:50.200 --> 0:14:51.360
<v Speaker 2>By US people? Adds?

0:14:52.240 --> 0:14:53.960
<v Speaker 10>Okay, So this is where it gets complicated and we

0:14:54.080 --> 0:14:56.720
<v Speaker 10>got to be really careful here to separate out two

0:14:56.760 --> 0:14:59.680
<v Speaker 10>different things. There is the deep Seak app that people

0:14:59.680 --> 0:15:03.600
<v Speaker 10>are downloading on their phones. That app, that data goes

0:15:03.600 --> 0:15:05.840
<v Speaker 10>straight to China. Right, So if you're downloading deep Seek

0:15:05.880 --> 0:15:07.640
<v Speaker 10>on your phone, or if you're going to deep Seak's

0:15:07.640 --> 0:15:10.800
<v Speaker 10>website and you're typing in query that app, that data

0:15:10.800 --> 0:15:13.760
<v Speaker 10>goes straight to China. That's available to that Chinese company,

0:15:13.920 --> 0:15:17.160
<v Speaker 10>that is probably available to the Chinese government without any problem.

0:15:17.320 --> 0:15:21.600
<v Speaker 10>So yes, absolutely, companies should not be allowing their employees

0:15:21.640 --> 0:15:24.200
<v Speaker 10>to download the deep Seap app onto their phones. If

0:15:24.240 --> 0:15:27.120
<v Speaker 10>you're a company and you download the open source model weights,

0:15:27.600 --> 0:15:30.080
<v Speaker 10>that data does not go back to China. Now there

0:15:30.120 --> 0:15:33.119
<v Speaker 10>are some potential risks right now.

0:15:32.880 --> 0:15:35.720
<v Speaker 9>Those risks are pretty much theoretical. The deep seek model

0:15:35.720 --> 0:15:39.000
<v Speaker 9>weights do have an ideological.

0:15:39.720 --> 0:15:42.440
<v Speaker 10>Twist towards the CCP, so if you asked you about

0:15:42.440 --> 0:15:46.280
<v Speaker 10>Tineman square, it won't answer. It will not create, for example,

0:15:46.680 --> 0:15:49.840
<v Speaker 10>a Winnie the Pooh story about Shishan Pin.

0:15:50.280 --> 0:15:53.000
<v Speaker 9>So it corresponds to the.

0:15:52.920 --> 0:15:57.080
<v Speaker 10>Rules the Chinese government has created about the ideological consistency

0:15:57.080 --> 0:16:01.240
<v Speaker 10>of AI, but that is not a security risk. That

0:16:01.360 --> 0:16:04.520
<v Speaker 10>being said, there are some interesting theoretical ideas people have

0:16:04.600 --> 0:16:07.800
<v Speaker 10>come up with about backdooring AI when it's used for

0:16:07.840 --> 0:16:11.680
<v Speaker 10>security sensitive uses, but right now that is not as

0:16:11.760 --> 0:16:14.240
<v Speaker 10>big of a deal. I think a more interesting question

0:16:14.320 --> 0:16:17.040
<v Speaker 10>for enterprises that are looking to use the deep Seak

0:16:17.080 --> 0:16:19.600
<v Speaker 10>model WAKES is the legal issues. If it turns out

0:16:19.640 --> 0:16:23.240
<v Speaker 10>that deep seek was trained off of metas and open

0:16:23.280 --> 0:16:27.600
<v Speaker 10>AIS models, what does that mean for the legality of

0:16:27.680 --> 0:16:30.560
<v Speaker 10>using deep seeks models. Deep Seak has open source theirs,

0:16:30.720 --> 0:16:33.000
<v Speaker 10>but they do not have the ability to get rid

0:16:33.040 --> 0:16:35.600
<v Speaker 10>of any legal issues that are caused by open AI.

0:16:35.680 --> 0:16:38.320
<v Speaker 10>Of course, open ai is being sued for their use

0:16:38.360 --> 0:16:41.200
<v Speaker 10>of training data that's open that. This is one of

0:16:41.200 --> 0:16:44.920
<v Speaker 10>the issues with AI. The intellectual property issues have not

0:16:45.040 --> 0:16:48.480
<v Speaker 10>been solved. We're dealing with eighteen, nineteenth and early twentieth

0:16:48.480 --> 0:16:52.160
<v Speaker 10>century copyright ideas and we're trying to apply it to

0:16:52.240 --> 0:16:55.800
<v Speaker 10>these twenty first century problems. And it's a real legal

0:16:55.880 --> 0:16:59.520
<v Speaker 10>mess that the legal system is years behind what the

0:16:59.600 --> 0:17:01.320
<v Speaker 10>cutting edges in technology.

0:17:02.400 --> 0:17:06.359
<v Speaker 3>Alex Stamos, Sentinel One Chief Information Security Officer, Thank you.

0:17:07.040 --> 0:17:09.480
<v Speaker 3>Coming up, we'll cover deep Seek's impact on the chip

0:17:09.520 --> 0:17:11.840
<v Speaker 3>world with Andrew Feldman from Sarah Bras.

0:17:12.080 --> 0:17:13.159
<v Speaker 5>This is Bloomberg.

0:17:15.440 --> 0:17:19.320
<v Speaker 3>Not all hardware providers are worried about deep seek advantas.

0:17:19.400 --> 0:17:22.679
<v Speaker 3>The partner of Nvidia that sells chip testing equipment just

0:17:22.840 --> 0:17:26.600
<v Speaker 3>lifted its full year forecast almost forty percent in anticipation

0:17:26.680 --> 0:17:31.159
<v Speaker 3>of elevated spending around AI, and it downplayed the impact

0:17:31.240 --> 0:17:34.560
<v Speaker 3>of deep Seek's big debut. Now let's bring in someone

0:17:34.560 --> 0:17:38.199
<v Speaker 3>else in the field. Andrew Feldman, CEO Sarah Brus, a

0:17:38.240 --> 0:17:43.920
<v Speaker 3>company building computer systems for complex AI deep learning applications. Andrew,

0:17:44.359 --> 0:17:46.840
<v Speaker 3>your company is trying to go toe to toe with

0:17:47.200 --> 0:17:51.040
<v Speaker 3>a big competitor and that is Nvidia. What do you

0:17:51.240 --> 0:17:54.679
<v Speaker 3>draw in terms of an underdog story from what we

0:17:54.720 --> 0:17:56.320
<v Speaker 3>saw the other day with deep Seek?

0:17:57.480 --> 0:18:00.280
<v Speaker 12>Okay, I think this is an enormously exciting moment for

0:18:00.320 --> 0:18:04.680
<v Speaker 12>the community. I think it sends multiple powerful messages. Clearly,

0:18:04.920 --> 0:18:10.320
<v Speaker 12>they used less compute, they used fewer people and produced

0:18:10.359 --> 0:18:14.960
<v Speaker 12>something quite impressive. Now, I think that's a reminder that

0:18:15.119 --> 0:18:17.480
<v Speaker 12>those of us who are underdogs and are competing against

0:18:17.520 --> 0:18:22.879
<v Speaker 12>the eight hundred pound gorillas in the industry, small teams

0:18:22.880 --> 0:18:27.560
<v Speaker 12>of hardworking people with big ideas can produce industry changing results.

0:18:28.040 --> 0:18:29.640
<v Speaker 12>And that's what we do at Cerebras.

0:18:30.280 --> 0:18:35.280
<v Speaker 4>Yeah, Andrew, they used you, they used Cerebras inference offering.

0:18:35.680 --> 0:18:36.480
<v Speaker 2>What did you see?

0:18:36.560 --> 0:18:39.639
<v Speaker 4>What have you taken on in terms of the amount

0:18:39.720 --> 0:18:42.320
<v Speaker 4>of share necessity they need in this moment?

0:18:43.680 --> 0:18:48.160
<v Speaker 12>Sure, So we are now in beta with our deep

0:18:48.200 --> 0:18:51.359
<v Speaker 12>Seak offering. And as your last guest said, there are

0:18:51.359 --> 0:18:53.240
<v Speaker 12>two ways to use deep Seek. You can use it

0:18:53.280 --> 0:18:57.479
<v Speaker 12>through their app, and I think he's absolutely correct that

0:18:57.480 --> 0:18:59.639
<v Speaker 12>that that data you can assume goes right to China.

0:19:00.320 --> 0:19:03.200
<v Speaker 12>Or you can use it through a company like us

0:19:03.240 --> 0:19:06.919
<v Speaker 12>or Perplexity or collection of others that are offering the model,

0:19:07.840 --> 0:19:11.200
<v Speaker 12>and we of course have all sorts of protections for

0:19:11.280 --> 0:19:13.320
<v Speaker 12>your data such that you can be assured it will

0:19:13.359 --> 0:19:18.119
<v Speaker 12>go nowhere. There is tremendous demand for this type of model.

0:19:18.640 --> 0:19:21.600
<v Speaker 12>One of the things that separated this model from previous

0:19:21.640 --> 0:19:26.000
<v Speaker 12>models was that its ability to reason and to do logic,

0:19:26.920 --> 0:19:31.200
<v Speaker 12>and those type of models in particular outperform the other

0:19:31.320 --> 0:19:34.960
<v Speaker 12>forms of models, and they do that by using more

0:19:35.000 --> 0:19:40.360
<v Speaker 12>compute during inference. And this is something that the whole

0:19:40.359 --> 0:19:43.520
<v Speaker 12>industry has been grappling with and we are today the

0:19:43.600 --> 0:19:46.119
<v Speaker 12>fastest of this and what that means for you, the

0:19:46.240 --> 0:19:50.040
<v Speaker 12>user is a better user experience, quicker answers, less waiting,

0:19:51.200 --> 0:19:53.720
<v Speaker 12>and that's what's really moving the customers right now.

0:19:54.840 --> 0:19:57.960
<v Speaker 3>Andrew Cerebras had been planning an IPO, do you have

0:19:58.000 --> 0:20:00.280
<v Speaker 3>an update on that? And we also understand and that

0:20:00.400 --> 0:20:04.360
<v Speaker 3>an interagency panel in Washington known as SIPIUS has been

0:20:04.480 --> 0:20:05.480
<v Speaker 3>reviewing all of this.

0:20:05.600 --> 0:20:10.280
<v Speaker 5>Do you have an update there? I don't, But I.

0:20:10.160 --> 0:20:15.840
<v Speaker 12>Think the deep Seek model was put out right around

0:20:16.119 --> 0:20:17.040
<v Speaker 12>Trump's inauguration.

0:20:17.280 --> 0:20:18.600
<v Speaker 6>I don't think that was an accident.

0:20:19.320 --> 0:20:22.879
<v Speaker 12>I think this was an effort to communicate at the

0:20:22.920 --> 0:20:31.200
<v Speaker 12>geopolitical level to the US that the previous administration's regulations

0:20:31.320 --> 0:20:36.480
<v Speaker 12>hadn't worked, that the Chinese engineer was capable of doing

0:20:36.520 --> 0:20:41.680
<v Speaker 12>extraordinary things even in the face of the regulations imposed

0:20:41.720 --> 0:20:44.680
<v Speaker 12>by the previous administration's commerce team.

0:20:45.560 --> 0:20:48.520
<v Speaker 4>What's so interesting about this You talk about the geopolitics

0:20:48.520 --> 0:20:50.720
<v Speaker 4>and perhaps all that sort of timing use with Huawei

0:20:50.760 --> 0:20:54.720
<v Speaker 4>and its innovations, But briefly, many and perhaps worried Siphius

0:20:54.760 --> 0:20:57.679
<v Speaker 4>maybe have anxiety around your relationship with G forty two

0:20:57.840 --> 0:21:01.680
<v Speaker 4>and it's ultimate relationship with Chines, your overseas locations. How

0:21:01.720 --> 0:21:03.160
<v Speaker 4>do you tackle that in this environment?

0:21:04.680 --> 0:21:08.159
<v Speaker 12>Look, I think we have a strategic partnership with G

0:21:08.359 --> 0:21:12.399
<v Speaker 12>forty two. They are the national champion AI company for

0:21:12.960 --> 0:21:17.360
<v Speaker 12>United Arab Emirates, and they are one of the US's

0:21:17.400 --> 0:21:20.720
<v Speaker 12>staunchest allies in the Middle East and have a long

0:21:20.800 --> 0:21:24.800
<v Speaker 12>track record of supporting US interests and being good allies.

0:21:25.160 --> 0:21:27.680
<v Speaker 12>I think one of the things that Deep Seek has

0:21:27.720 --> 0:21:29.760
<v Speaker 12>taught us is that.

0:21:29.680 --> 0:21:32.320
<v Speaker 9>We will need the community and we will need our allies.

0:21:32.880 --> 0:21:35.720
<v Speaker 12>That we thought perhaps that the US could run this alone,

0:21:35.840 --> 0:21:40.200
<v Speaker 12>that we had the computer companies like Cerebras, like Nvidia

0:21:40.480 --> 0:21:44.159
<v Speaker 12>and a m D and we had the open eyes

0:21:44.240 --> 0:21:47.840
<v Speaker 12>of the world. But I think what we're learning here

0:21:47.960 --> 0:21:53.359
<v Speaker 12>is that we will need the entire US ecosystem in

0:21:53.400 --> 0:21:54.320
<v Speaker 12>this AI battle.

0:21:55.119 --> 0:21:57.400
<v Speaker 2>Andrew Feldman, thanks so much for joining us.

0:21:57.760 --> 0:21:58.880
<v Speaker 4>CEO Cerebras.

0:21:59.280 --> 0:22:00.560
<v Speaker 2>Come back when you do. You have a bit more

0:22:00.600 --> 0:22:02.280
<v Speaker 2>news on the IPO potentially coming up.

0:22:02.320 --> 0:22:05.359
<v Speaker 4>Activist investor Kristin Hull joins us to discuss what she'll

0:22:05.359 --> 0:22:07.920
<v Speaker 4>be looking for when Tesla releases its results later today.

0:22:07.960 --> 0:22:10.640
<v Speaker 4>I remember an activist investor what she makes of Elon

0:22:10.680 --> 0:22:14.240
<v Speaker 4>Musk's involvement in government, in the German government. This is

0:22:14.280 --> 0:22:34.239
<v Speaker 4>bloue Meg Technology. Welcome back to Blue Meg Technology. I'm

0:22:34.240 --> 0:22:35.400
<v Speaker 4>Caroline Hide in New York.

0:22:35.800 --> 0:22:37.480
<v Speaker 5>And I'm Mike Shepard in San Francisco.

0:22:37.840 --> 0:22:40.280
<v Speaker 4>Check on these markets, Mike, because we've got some anxiety

0:22:40.320 --> 0:22:42.680
<v Speaker 4>ahead of the FED, of course, and indeed ahead of earnings.

0:22:42.720 --> 0:22:45.719
<v Speaker 4>We've got Microsoft Meta Tesla after well, nasdak off by

0:22:45.720 --> 0:22:48.080
<v Speaker 4>four ten percent. The bitcoin though, is getting a bit

0:22:48.119 --> 0:22:49.399
<v Speaker 4>of a risk on trade where at one and a

0:22:49.440 --> 0:22:52.560
<v Speaker 4>half percent, maybe because of what Trump Media has just

0:22:52.600 --> 0:22:56.560
<v Speaker 4>announced a pairing into financial services. They're launching a fintech

0:22:56.600 --> 0:23:00.480
<v Speaker 4>brand name Truthfi. In collaborations with Charles Schwab up eight

0:23:00.520 --> 0:23:04.159
<v Speaker 4>and a half percent Sally Bakewell here to discuss what

0:23:04.160 --> 0:23:07.119
<v Speaker 4>are we expecting this sort of a move from an

0:23:07.240 --> 0:23:08.439
<v Speaker 4>entity related to the president.

0:23:09.000 --> 0:23:10.399
<v Speaker 2>I think we could have expected it.

0:23:10.480 --> 0:23:13.840
<v Speaker 13>I mean, Trump has just launched his trump coin, he

0:23:13.880 --> 0:23:18.040
<v Speaker 13>has already declared himself a huge supporter of cryptocurrencies.

0:23:18.080 --> 0:23:19.280
<v Speaker 2>He's the crypto president.

0:23:19.560 --> 0:23:21.439
<v Speaker 13>So I don't think it's a huge surprise that Trump

0:23:21.440 --> 0:23:26.840
<v Speaker 13>Media is delving into the financial services world with this investment.

0:23:27.080 --> 0:23:27.240
<v Speaker 9>Now.

0:23:27.240 --> 0:23:31.080
<v Speaker 13>It's notable, though, that Donald Trump he actually transferred his

0:23:31.200 --> 0:23:34.359
<v Speaker 13>shares in Trump Media last month to a trust which

0:23:34.440 --> 0:23:37.240
<v Speaker 13>is controlled by his eldest son, so he no longer

0:23:37.280 --> 0:23:39.800
<v Speaker 13>directly owns any of Trump Media, but he is the

0:23:39.800 --> 0:23:43.199
<v Speaker 13>sole beneficiary of that trust. So I think this is

0:23:43.280 --> 0:23:46.679
<v Speaker 13>just an example of how the Trump Empire is deepening

0:23:46.800 --> 0:23:50.640
<v Speaker 13>its push into crypto and fintech. And it's interestingly timed

0:23:50.720 --> 0:23:54.600
<v Speaker 13>because just last week Trump made comments about, you know,

0:23:54.680 --> 0:23:57.800
<v Speaker 13>traditional banks and how he said that they were effectively

0:23:57.880 --> 0:24:01.640
<v Speaker 13>debanking the Conservatives. He's sort of made a barber Bank

0:24:01.680 --> 0:24:04.520
<v Speaker 13>of America CEO Brian moynihan, as well as JP Morgan

0:24:04.760 --> 0:24:07.399
<v Speaker 13>chief Jamie Diamond, so he's a big fan of the

0:24:07.480 --> 0:24:09.040
<v Speaker 13>crypto the fintech world.

0:24:09.080 --> 0:24:09.720
<v Speaker 2>I think it is fair to.

0:24:09.720 --> 0:24:15.840
<v Speaker 3>Say Sally in effector is the Trump Media group trying

0:24:15.880 --> 0:24:19.040
<v Speaker 3>to create something that Elon Musk has dreamed about for

0:24:19.080 --> 0:24:22.919
<v Speaker 3>all these years, that is a one stop social platform

0:24:23.000 --> 0:24:26.040
<v Speaker 3>with everything, messaging, finance, you name it.

0:24:26.600 --> 0:24:27.760
<v Speaker 2>Well, so far, what do we know?

0:24:27.920 --> 0:24:30.080
<v Speaker 13>We know that Trump Media is investing two hundred and

0:24:30.160 --> 0:24:33.280
<v Speaker 13>fifty million in this effort, and that money actually is

0:24:33.280 --> 0:24:35.560
<v Speaker 13>going to be custodied by Charles Schwab, which is also

0:24:35.600 --> 0:24:38.640
<v Speaker 13>going to advise it on its investments and its strategy.

0:24:38.640 --> 0:24:43.159
<v Speaker 13>It's going to offer separately managed accounts ETFs, and other bitcoin,

0:24:43.240 --> 0:24:47.240
<v Speaker 13>crypto and bitcoin related products. Now, getting into the financial

0:24:47.320 --> 0:24:50.320
<v Speaker 13>services space is something that a lot of companies have done.

0:24:50.480 --> 0:24:54.000
<v Speaker 13>Just yesterday, social media platform x announced that it was

0:24:54.080 --> 0:24:57.280
<v Speaker 13>partnering with Visa on its digital wallet in order to

0:24:57.320 --> 0:25:00.840
<v Speaker 13>be this everything app that Musk has lo talked about.

0:25:00.840 --> 0:25:01.560
<v Speaker 2>And we've seen the.

0:25:01.600 --> 0:25:05.960
<v Speaker 13>Likes of Amazon creeps only into financial services, as has

0:25:06.040 --> 0:25:09.960
<v Speaker 13>Apple with the wallet. So it's a difficult world to

0:25:10.080 --> 0:25:12.200
<v Speaker 13>enter in many ways. There are a lot of incumbents

0:25:12.359 --> 0:25:17.159
<v Speaker 13>such as zell and Venmo, which holds substantial portions of

0:25:17.200 --> 0:25:19.640
<v Speaker 13>the market. But equally, a lot of these companies also

0:25:19.680 --> 0:25:22.200
<v Speaker 13>want to diversify their revenue, and this is one place

0:25:22.240 --> 0:25:22.879
<v Speaker 13>that they can do that.

0:25:23.960 --> 0:25:28.160
<v Speaker 3>Bloomberg Sally big, Well, thank you so much. Tesla releases

0:25:28.200 --> 0:25:31.360
<v Speaker 3>its fourth quarter earnings later today, and investors are going

0:25:31.400 --> 0:25:34.600
<v Speaker 3>to be closely watching for information on new products and

0:25:34.720 --> 0:25:37.640
<v Speaker 3>sales volume, and they also want to know how CEO

0:25:37.760 --> 0:25:41.639
<v Speaker 3>Elon Musk's new role in the Trump administration is impacting

0:25:41.680 --> 0:25:43.000
<v Speaker 3>the electric vehicle maker.

0:25:43.320 --> 0:25:44.600
<v Speaker 5>Let's bring in Kristen Hall.

0:25:44.760 --> 0:25:47.879
<v Speaker 3>She's the founder and chief investment officer at NIA Impact

0:25:47.960 --> 0:25:52.040
<v Speaker 3>Capital and somebody who follows Tesla very closely, Nia, this

0:25:52.119 --> 0:25:53.879
<v Speaker 3>is a real moment for you.

0:25:53.920 --> 0:25:56.120
<v Speaker 5>If somebody watches this company very closely.

0:25:56.880 --> 0:26:00.800
<v Speaker 3>Tough sales numbers earlier this month from the company, we

0:26:00.840 --> 0:26:04.040
<v Speaker 3>see the new president pulling away the EV subsidies and

0:26:04.119 --> 0:26:08.600
<v Speaker 3>the CEO of Tesla himself quite distracted by politics. These

0:26:08.640 --> 0:26:12.320
<v Speaker 3>are choppy waters for any company. How is Tesla going

0:26:12.359 --> 0:26:13.320
<v Speaker 3>to navigate them?

0:26:13.760 --> 0:26:15.280
<v Speaker 2>Hey, Mike, thanks for having me today.

0:26:15.560 --> 0:26:17.879
<v Speaker 14>This is a tricky company and all investors are going

0:26:17.920 --> 0:26:20.600
<v Speaker 14>to be watching for these earnings today. We want to

0:26:20.680 --> 0:26:23.359
<v Speaker 14>see that there's a commitment to growth and that there's

0:26:24.160 --> 0:26:27.000
<v Speaker 14>an ability for execution, and of course we have questions

0:26:27.520 --> 0:26:30.439
<v Speaker 14>can the CEO execute on these and do we have

0:26:30.480 --> 0:26:32.320
<v Speaker 14>a board that's going to support all of the growth

0:26:32.320 --> 0:26:33.800
<v Speaker 14>that we need to see from this company.

0:26:34.320 --> 0:26:35.320
<v Speaker 5>What are you looking.

0:26:35.119 --> 0:26:39.040
<v Speaker 3>For in particular when it comes to the business including

0:26:39.119 --> 0:26:42.960
<v Speaker 3>self driving and perhaps some of the other businesses that

0:26:43.000 --> 0:26:46.760
<v Speaker 3>have emerged for Tesla, including AI and robotics.

0:26:47.240 --> 0:26:50.080
<v Speaker 14>Yeah, so that's a good question, right because as investors,

0:26:50.080 --> 0:26:51.920
<v Speaker 14>we want to see growth, and we want to see

0:26:51.960 --> 0:26:55.280
<v Speaker 14>a plan, and we want to see guidance. And what

0:26:55.359 --> 0:26:57.760
<v Speaker 14>we know from these earnings reports from the past is

0:26:57.920 --> 0:27:01.680
<v Speaker 14>consistently there will be surprises. We can expect that we

0:27:01.720 --> 0:27:04.400
<v Speaker 14>want to see that there are sales growth in their

0:27:04.440 --> 0:27:08.520
<v Speaker 14>main revenue source, which is automobiles, right, and yet Europe

0:27:09.160 --> 0:27:13.960
<v Speaker 14>dropping in popularity. Actually worldwide, Tesla has been dropping popularity,

0:27:14.000 --> 0:27:16.639
<v Speaker 14>and so we have competition coming up in the market,

0:27:16.680 --> 0:27:20.480
<v Speaker 14>both with regular automobile makers as well as some of

0:27:20.480 --> 0:27:22.320
<v Speaker 14>the Chinese that are coming in and so it's a

0:27:22.400 --> 0:27:26.159
<v Speaker 14>complicated terrain for Tesla right now to navigate, and so

0:27:26.200 --> 0:27:27.960
<v Speaker 14>we're going to want to see that there's a CEO

0:27:28.040 --> 0:27:29.359
<v Speaker 14>in control with a plan.

0:27:30.280 --> 0:27:33.040
<v Speaker 4>You are so important in terms of a voice because

0:27:33.080 --> 0:27:38.080
<v Speaker 4>you're an activist investor, and ultimately you're questioning often the

0:27:38.200 --> 0:27:41.000
<v Speaker 4>role of elo Musk, the way of policies he.

0:27:41.040 --> 0:27:42.840
<v Speaker 2>Invokes, the way he acts.

0:27:43.119 --> 0:27:45.560
<v Speaker 4>But notably at the moment, Tesla doesn't seem to be

0:27:45.720 --> 0:27:48.480
<v Speaker 4>particularly related to fundamentals. We point out that their shares

0:27:48.480 --> 0:27:50.640
<v Speaker 4>are nearly doubled since the last time we got earnings,

0:27:51.000 --> 0:27:52.879
<v Speaker 4>and the numbers haven't been that great since then if

0:27:52.880 --> 0:27:55.280
<v Speaker 4>you think about the deliveries numbers instead, this is a

0:27:55.320 --> 0:28:00.640
<v Speaker 4>proxy on Elon's closeness to politics. How do you distinguish

0:28:00.680 --> 0:28:02.120
<v Speaker 4>that for yourself as an investor?

0:28:02.560 --> 0:28:05.640
<v Speaker 14>So, Caroline, thanks for the question. This is a complicated company,

0:28:05.840 --> 0:28:08.919
<v Speaker 14>particularly when the CEO is as involved with the federal

0:28:08.960 --> 0:28:13.080
<v Speaker 14>government as is. Oftentimes you would see if there's a

0:28:13.160 --> 0:28:15.679
<v Speaker 14>role granted from the federal government that you would drop

0:28:15.760 --> 0:28:18.680
<v Speaker 14>your current day job, and yet we're not seeing that happening.

0:28:18.840 --> 0:28:19.919
<v Speaker 2>So we do.

0:28:19.840 --> 0:28:22.919
<v Speaker 14>Believe that every company deserves a full time CEO, and

0:28:22.960 --> 0:28:25.560
<v Speaker 14>so we have lots of questions there. We also have

0:28:25.720 --> 0:28:29.480
<v Speaker 14>questions about human capital management and how is Tesla going

0:28:29.520 --> 0:28:34.200
<v Speaker 14>to be able to attract, retain, promote top talent, because,

0:28:34.400 --> 0:28:37.000
<v Speaker 14>as we know, this is an innovation company, and innovation

0:28:37.200 --> 0:28:42.680
<v Speaker 14>does derive itself from really loyal client base, both on

0:28:42.720 --> 0:28:44.760
<v Speaker 14>the client side and then also on the employee base,

0:28:44.960 --> 0:28:47.480
<v Speaker 14>and so we're looking to see how is the company

0:28:47.520 --> 0:28:48.280
<v Speaker 14>going to manage this.

0:28:49.040 --> 0:28:52.680
<v Speaker 4>For years, though, since you first bought into Tesla, you've

0:28:52.680 --> 0:28:55.280
<v Speaker 4>been trying to communicate with the company and pushing against

0:28:55.320 --> 0:28:57.520
<v Speaker 4>some of the activities that we've seen, whether it be

0:28:57.560 --> 0:29:01.120
<v Speaker 4>consents around on to DEI, whether it be certain perceived

0:29:01.160 --> 0:29:03.760
<v Speaker 4>anti Semitic compents coming from Elo Musk in the past

0:29:03.760 --> 0:29:04.800
<v Speaker 4>that I know you've written about.

0:29:04.960 --> 0:29:06.760
<v Speaker 2>There's also, though, of course, the latest.

0:29:06.440 --> 0:29:08.880
<v Speaker 4>When we come to the concerns around gestures recently made

0:29:08.880 --> 0:29:11.520
<v Speaker 4>around the inauguration of Trump made by Elo Musk and

0:29:11.560 --> 0:29:14.840
<v Speaker 4>indeed his support of IFD, which is deemed a right

0:29:14.880 --> 0:29:19.440
<v Speaker 4>wing group in Germany. Nothing seems the matter when you're

0:29:19.480 --> 0:29:21.640
<v Speaker 4>putting this to ultimately a share price that goes up

0:29:21.640 --> 0:29:22.160
<v Speaker 4>into the right.

0:29:23.040 --> 0:29:26.200
<v Speaker 14>So you bring up some really interesting points. This company

0:29:26.280 --> 0:29:29.040
<v Speaker 14>does seem to stand alone as far as its meanness,

0:29:29.080 --> 0:29:32.520
<v Speaker 14>and that it's continued to grow. Other companies would not

0:29:33.120 --> 0:29:35.840
<v Speaker 14>get the same reactions with that type of CEO and

0:29:35.880 --> 0:29:39.000
<v Speaker 14>those types of behaviors. We as investors are really looking

0:29:39.040 --> 0:29:41.920
<v Speaker 14>for the long term possibilities here, and when you have

0:29:42.040 --> 0:29:45.800
<v Speaker 14>such a controversial CEO, we are seeing, as you point out,

0:29:45.840 --> 0:29:50.360
<v Speaker 14>sales are dropping, popularity is dropping, the brand has been damaged,

0:29:50.680 --> 0:29:53.560
<v Speaker 14>and so how is the board and the rest of

0:29:53.600 --> 0:29:55.400
<v Speaker 14>Tesla going to step in and see how are we

0:29:55.440 --> 0:29:58.600
<v Speaker 14>going to see sales growing when we are having a

0:29:58.640 --> 0:30:01.720
<v Speaker 14>lot of controversial issues. As I pointed out earlier, we're

0:30:01.760 --> 0:30:04.720
<v Speaker 14>also seeing not only two clients at where I live

0:30:04.760 --> 0:30:08.080
<v Speaker 14>in California, many many are switching to Rivian and other

0:30:08.160 --> 0:30:11.640
<v Speaker 14>EV brands specifically based on the brand and some of

0:30:11.680 --> 0:30:13.440
<v Speaker 14>the issues that they see that they don't want to

0:30:13.480 --> 0:30:16.760
<v Speaker 14>be associated with. And we're also seeing that for employees,

0:30:17.160 --> 0:30:19.280
<v Speaker 14>who's going to want to work for Tesla in such

0:30:19.280 --> 0:30:22.040
<v Speaker 14>a volatile environment. These are questions that investors have.

0:30:22.360 --> 0:30:26.280
<v Speaker 3>Kristin, It's been a year since Tesla dropped diversity and

0:30:26.320 --> 0:30:29.520
<v Speaker 3>inclusion language from its ten K, and we've seen since

0:30:29.560 --> 0:30:33.040
<v Speaker 3>then other companies and even the federal government following suit

0:30:33.120 --> 0:30:35.600
<v Speaker 3>in some fashion or another. Do you see this tide

0:30:35.760 --> 0:30:38.320
<v Speaker 3>changing at all? And what sort of pressure will you

0:30:38.440 --> 0:30:42.479
<v Speaker 3>be able to apply to Tesla at upcoming meetings?

0:30:43.040 --> 0:30:45.040
<v Speaker 14>So for all of our companies, we really want to

0:30:45.080 --> 0:30:48.240
<v Speaker 14>see strong human capital management. And so whether you call

0:30:48.320 --> 0:30:51.920
<v Speaker 14>it DEI or whether you call it supporting your employee base,

0:30:51.960 --> 0:30:54.920
<v Speaker 14>we really want to see Tesla and other companies hold

0:30:54.960 --> 0:30:57.560
<v Speaker 14>their employees on the asset side of the balance sheet

0:30:57.800 --> 0:31:00.560
<v Speaker 14>as opposed to on the expense side. We want to

0:31:00.600 --> 0:31:03.840
<v Speaker 14>see that Tesla is showing that they will invest in

0:31:03.880 --> 0:31:06.680
<v Speaker 14>their employee base because we know that again, to execute

0:31:06.720 --> 0:31:08.920
<v Speaker 14>on all of the innovation that they promised, they're going

0:31:08.960 --> 0:31:11.880
<v Speaker 14>to need to have strong, loyal employees and that's going

0:31:11.880 --> 0:31:15.400
<v Speaker 14>to mean strong programs and so again, whether it's called diversity,

0:31:15.440 --> 0:31:18.400
<v Speaker 14>equity inclusion, whether it's merit based hiring, we want to

0:31:18.400 --> 0:31:21.160
<v Speaker 14>see that investment and we need to see the transparency

0:31:21.200 --> 0:31:24.479
<v Speaker 14>around that. So with Tesla, we and NIA have been

0:31:24.520 --> 0:31:28.760
<v Speaker 14>asking them to remove forced arbitration from employee contracts because

0:31:28.800 --> 0:31:31.680
<v Speaker 14>that does conceal a lot of what's going on, both

0:31:31.680 --> 0:31:35.000
<v Speaker 14>for managers and for investors as well as for other employees.

0:31:35.760 --> 0:31:39.600
<v Speaker 4>Kristin how, chief investment Officer for NIA Impact Capital, thanks

0:31:39.640 --> 0:31:41.560
<v Speaker 4>so much for joining us today and do not forget

0:31:41.600 --> 0:31:45.560
<v Speaker 4>to check out the elon Ink Podcasts FINGO card for

0:31:45.720 --> 0:31:47.160
<v Speaker 4>this round of Tesla's earnings.

0:31:47.200 --> 0:31:47.840
<v Speaker 2>You can find it on the.

0:31:47.880 --> 0:31:51.440
<v Speaker 4>Terminal Online Work out what words are used, how many times,

0:31:51.720 --> 0:31:54.200
<v Speaker 4>and if they're in line with that card coming up.

0:31:54.400 --> 0:31:56.880
<v Speaker 4>TikTok still needs a US buyer to avoid a bad

0:31:56.920 --> 0:31:57.560
<v Speaker 4>in the States.

0:31:57.760 --> 0:31:59.320
<v Speaker 2>Seventy five day extension.

0:31:58.960 --> 0:32:01.600
<v Speaker 4>Signed by President Trump run out in April. We'll talk

0:32:01.640 --> 0:32:04.480
<v Speaker 4>to Jesse Tinsley about the old cash bid he's put

0:32:04.520 --> 0:32:06.440
<v Speaker 4>together with none of them, the mister Beast. This is

0:32:06.440 --> 0:32:07.320
<v Speaker 4>bringing back technology.

0:32:17.360 --> 0:32:20.760
<v Speaker 3>Could a widely popular influencer become an owner in a

0:32:20.840 --> 0:32:23.280
<v Speaker 3>hugely popular social media platform.

0:32:23.520 --> 0:32:25.400
<v Speaker 5>Mister Beast is reported.

0:32:24.960 --> 0:32:28.720
<v Speaker 3>To be speaking with multiple groups of investors about buying TikTok.

0:32:29.040 --> 0:32:30.400
<v Speaker 5>One of those groups is led.

0:32:30.280 --> 0:32:34.120
<v Speaker 3>By Jesse Tinsley, the CEO of Employer dot Com. Jesse

0:32:34.240 --> 0:32:37.440
<v Speaker 3>Tinsley joins us now. Jesse, thank you for being here.

0:32:37.680 --> 0:32:41.560
<v Speaker 3>Let's get right to it. How involved is mister Beast

0:32:41.800 --> 0:32:45.400
<v Speaker 3>with your group's bid? Has he fully committed to joining

0:32:45.400 --> 0:32:46.040
<v Speaker 3>your team here?

0:32:46.560 --> 0:32:48.680
<v Speaker 15>I think mister Beast, as we said last week, I

0:32:48.680 --> 0:32:51.080
<v Speaker 15>think we hope that he joins as many bus as

0:32:51.120 --> 0:32:51.600
<v Speaker 15>as possible.

0:32:51.640 --> 0:32:53.120
<v Speaker 6>He's positive influence.

0:32:52.760 --> 0:32:55.320
<v Speaker 15>For young people and people ever read globally, and so

0:32:55.920 --> 0:32:59.640
<v Speaker 15>we're excited to have him in his group backing our

0:32:59.680 --> 0:33:01.040
<v Speaker 15>bid among others as well.

0:33:02.040 --> 0:33:04.200
<v Speaker 4>So he's not formally signed on to your bid. He's

0:33:04.240 --> 0:33:06.640
<v Speaker 4>just seeing whoever wins contacts.

0:33:06.640 --> 0:33:08.320
<v Speaker 15>So I think there's some some articles that came out

0:33:08.400 --> 0:33:12.560
<v Speaker 15>last week and mister Beast and his group are definitely

0:33:13.200 --> 0:33:15.920
<v Speaker 15>signed on with our group and it's but it's non exclusive,

0:33:16.000 --> 0:33:17.960
<v Speaker 15>so we hope he can work with as many groups

0:33:17.960 --> 0:33:18.480
<v Speaker 15>as possible.

0:33:19.240 --> 0:33:20.440
<v Speaker 2>And what about your bid?

0:33:20.920 --> 0:33:25.160
<v Speaker 4>Who else is involved other than yourself and potentially mister Beaste.

0:33:25.360 --> 0:33:26.760
<v Speaker 6>Yeah, yeah, it's a great question.

0:33:26.840 --> 0:33:29.760
<v Speaker 15>I think we were We were not obviously a very

0:33:30.080 --> 0:33:31.520
<v Speaker 15>large bid by by any means.

0:33:31.600 --> 0:33:31.719
<v Speaker 9>Right.

0:33:31.760 --> 0:33:35.480
<v Speaker 15>We're a bunch of technologists and founders and there's folks

0:33:35.560 --> 0:33:39.360
<v Speaker 15>like David Bazouki from the CEO and co founder of

0:33:39.560 --> 0:33:42.400
<v Speaker 15>rope Blocks, as well as Nathan Coley, co founder and

0:33:42.480 --> 0:33:45.800
<v Speaker 15>CEO of Anchorage, among a bunch of other technologists and

0:33:45.800 --> 0:33:49.400
<v Speaker 15>folks that I think can stabilize, you know, TikTok can

0:33:49.400 --> 0:33:51.760
<v Speaker 15>put in a really good place for users and data

0:33:51.800 --> 0:33:56.160
<v Speaker 15>integrity across you know, across the US based population.

0:33:56.840 --> 0:33:58.200
<v Speaker 6>We're We're excited with the group we have.

0:33:58.360 --> 0:34:01.000
<v Speaker 15>We have as almost a great effort as opposed to

0:34:01.040 --> 0:34:02.160
<v Speaker 15>some of these larger bids.

0:34:01.920 --> 0:34:04.440
<v Speaker 6>And I think we have folks that can come in

0:34:04.480 --> 0:34:06.880
<v Speaker 6>and make a huge impact. We're really excited with the

0:34:06.880 --> 0:34:07.320
<v Speaker 6>group that we.

0:34:07.280 --> 0:34:10.760
<v Speaker 3>A Jesse, what have you heard back from BYT Dance

0:34:10.840 --> 0:34:13.840
<v Speaker 3>and who at the company are you dealing with specifically.

0:34:14.280 --> 0:34:16.200
<v Speaker 6>Yeah, that's a good question. We have heard back from

0:34:16.200 --> 0:34:17.000
<v Speaker 6>BI Dance directly.

0:34:17.560 --> 0:34:20.160
<v Speaker 15>It's been a bit of radio silence on their side,

0:34:20.200 --> 0:34:22.200
<v Speaker 15>but we're looking forward to chatting with them the next

0:34:22.200 --> 0:34:24.360
<v Speaker 15>couple of weeks. It sounds like there's some movement with

0:34:24.400 --> 0:34:28.080
<v Speaker 15>different conversations we've been having across a bunch of different parties,

0:34:28.160 --> 0:34:32.080
<v Speaker 15>and I think it's right now. We're scared with the

0:34:32.120 --> 0:34:36.200
<v Speaker 15>way things are trending. And yeah, so no direct contact

0:34:36.200 --> 0:34:36.680
<v Speaker 15>with by Dance.

0:34:36.719 --> 0:34:37.920
<v Speaker 6>Thom's farm.

0:34:38.160 --> 0:34:43.120
<v Speaker 4>Really fascinating about who's alongside you Roadblocks. I totally get

0:34:43.320 --> 0:34:45.480
<v Speaker 4>the idea that you want to therefore be aligned with

0:34:45.520 --> 0:34:48.600
<v Speaker 4>social media and with discussion and groups and interaction of

0:34:48.640 --> 0:34:51.400
<v Speaker 4>young people. But Jesse, you have made your name in

0:34:51.760 --> 0:34:55.040
<v Speaker 4>human capital. Why are you interested in this asset?

0:34:55.080 --> 0:34:56.319
<v Speaker 2>What change do you want to make?

0:34:56.680 --> 0:35:00.920
<v Speaker 6>Yeah, the fantastic question. I think. Obviously data's background.

0:35:01.680 --> 0:35:05.080
<v Speaker 15>Roadblocks directly seeks the lines a lot with the same

0:35:05.160 --> 0:35:06.400
<v Speaker 15>values that I shared. It's one of the reasons that

0:35:06.400 --> 0:35:10.800
<v Speaker 15>we added him directly is I have two young daughters

0:35:11.320 --> 0:35:14.160
<v Speaker 15>who will soon be on on social media and hopefully

0:35:14.440 --> 0:35:17.880
<v Speaker 15>my goal and whoever whoever wins roadblocks, whether it's myself

0:35:17.960 --> 0:35:20.359
<v Speaker 15>or another group, I hope that you know that it's

0:35:20.480 --> 0:35:22.480
<v Speaker 15>safe enough for the where I feel comfortable with my

0:35:22.560 --> 0:35:24.160
<v Speaker 15>young daughters going on.

0:35:24.040 --> 0:35:25.839
<v Speaker 6>TikTok for the next six ft full months.

0:35:25.840 --> 0:35:28.959
<v Speaker 15>And I think right now, the way the algorithm is set,

0:35:29.040 --> 0:35:31.439
<v Speaker 15>where the data is, how the data is being used,

0:35:32.520 --> 0:35:35.000
<v Speaker 15>I would not feel that comfortable doing that thus far.

0:35:35.120 --> 0:35:36.600
<v Speaker 15>So I think that that's kind of my goal and

0:35:37.960 --> 0:35:40.880
<v Speaker 15>the values that I see an ndidate for for US.

0:35:40.920 --> 0:35:42.720
<v Speaker 6>Stone after this stood correctly.

0:35:42.719 --> 0:35:47.960
<v Speaker 3>Jesse, President Donald Trump has made selling TikTok to US

0:35:48.040 --> 0:35:50.480
<v Speaker 3>buyers or reaching a deal a priority.

0:35:50.520 --> 0:35:52.600
<v Speaker 5>What kind of contact have you had with the White

0:35:52.640 --> 0:35:53.359
<v Speaker 5>House and what.

0:35:53.400 --> 0:35:56.719
<v Speaker 3>Sort of support are you getting from Trump administration officials

0:35:56.719 --> 0:35:57.200
<v Speaker 3>on your bid.

0:35:57.640 --> 0:36:00.719
<v Speaker 15>Yeah, we've done ongoing dialogue with the Trump illustration, and

0:36:01.760 --> 0:36:04.200
<v Speaker 15>we feel very comfortable with our bid in terms of

0:36:04.239 --> 0:36:06.399
<v Speaker 15>how we've actually set it up. We have a bunch

0:36:06.400 --> 0:36:09.040
<v Speaker 15>of we've already preset a lot of the team in

0:36:09.200 --> 0:36:12.520
<v Speaker 15>terms of board of directors and board sub committees with

0:36:12.560 --> 0:36:15.319
<v Speaker 15>around finance, technology and everything else.

0:36:15.360 --> 0:36:16.480
<v Speaker 6>So we feel really really good.

0:36:16.520 --> 0:36:20.560
<v Speaker 15>We have an all us back vaccine with all of

0:36:20.560 --> 0:36:22.879
<v Speaker 15>the data and servers and technology moving here.

0:36:22.920 --> 0:36:25.600
<v Speaker 6>So definitely gonna be a challenge to move TikTok.

0:36:25.280 --> 0:36:30.360
<v Speaker 15>But over from byte Dance and there's so many servers

0:36:30.480 --> 0:36:31.440
<v Speaker 15>and move it here.

0:36:31.480 --> 0:36:33.800
<v Speaker 6>But we feel really comfortable with our bid correctly.

0:36:34.360 --> 0:36:39.080
<v Speaker 4>Ultimately, it sounds like you're making one just for the

0:36:39.120 --> 0:36:41.120
<v Speaker 4>good of humanity, for the good of your kids.

0:36:41.320 --> 0:36:41.799
<v Speaker 2>I mean you.

0:36:41.800 --> 0:36:44.839
<v Speaker 4>Said, I think accidentally said you were making whoever wins

0:36:44.840 --> 0:36:46.839
<v Speaker 4>out on roadblocks, and you might say whoever wins out

0:36:47.160 --> 0:36:47.920
<v Speaker 4>on TikTok.

0:36:48.360 --> 0:36:51.360
<v Speaker 2>But help us take this really seriously.

0:36:51.480 --> 0:36:54.040
<v Speaker 4>You've already named some really significant people who are in

0:36:54.080 --> 0:36:58.120
<v Speaker 4>this with yourself are a significant entrepreneur and founder. But

0:36:58.760 --> 0:37:01.520
<v Speaker 4>help us understand how serious the nature it is of

0:37:01.560 --> 0:37:03.320
<v Speaker 4>this bid and how much money you've got behind it.

0:37:03.440 --> 0:37:08.960
<v Speaker 15>Jesse, Yeah, so definitely definitely a very large bit, I

0:37:09.000 --> 0:37:12.279
<v Speaker 15>think Bell I'll measures we basically have I think the

0:37:12.520 --> 0:37:15.400
<v Speaker 15>other public number fit that's been floated as a twenty

0:37:15.400 --> 0:37:20.000
<v Speaker 15>big billion by another group essentially ours and significantly higher

0:37:20.600 --> 0:37:23.160
<v Speaker 15>that offer ends today got.

0:37:23.000 --> 0:37:25.360
<v Speaker 4>The money behind at Jesse Tinsley, He tells our CEO

0:37:25.360 --> 0:37:34.600
<v Speaker 4>of employer dot com thanks so much for joining us.

0:37:36.400 --> 0:37:39.880
<v Speaker 3>Microsoft and Meta reporting after market closed today. All this

0:37:39.960 --> 0:37:44.680
<v Speaker 3>admits concerns around artificial intelligence spending. Let's bring in Bloomberg's

0:37:44.719 --> 0:37:45.880
<v Speaker 3>Ryan Blestelica.

0:37:46.120 --> 0:37:49.720
<v Speaker 5>Ryan. Meta and Microsoft are two very different stories.

0:37:49.760 --> 0:37:52.400
<v Speaker 3>When it comes to capex, Meta seems to be getting

0:37:52.400 --> 0:37:53.640
<v Speaker 3>a little bit more of a pass.

0:37:53.719 --> 0:37:56.160
<v Speaker 16>Why is that, Hey, thanks for having me on. Yeah,

0:37:56.160 --> 0:37:58.319
<v Speaker 16>it's a great question. So last week they came out

0:37:58.360 --> 0:38:01.560
<v Speaker 16>gave a new cappex target that was significantly above what

0:38:01.600 --> 0:38:02.640
<v Speaker 16>people were expecting.

0:38:03.000 --> 0:38:04.280
<v Speaker 9>And while a lot.

0:38:04.160 --> 0:38:07.000
<v Speaker 16>Of AI spending has come under scrutiny lately, the stock

0:38:07.120 --> 0:38:10.960
<v Speaker 16>actually rallied. It seems like the overall takeaway was people

0:38:11.040 --> 0:38:13.799
<v Speaker 16>view them as investing from a place's strength. And then

0:38:13.840 --> 0:38:17.640
<v Speaker 16>earlier this week, amid all the sell off and volatility

0:38:17.680 --> 0:38:20.680
<v Speaker 16>related to Deep Seek out of China, Meta also rose again.

0:38:21.000 --> 0:38:22.879
<v Speaker 16>That was sort of seen as a validation of its

0:38:22.920 --> 0:38:25.840
<v Speaker 16>own AI model Lama, which is open source, getting a

0:38:25.840 --> 0:38:28.000
<v Speaker 16>little bit of a bid from deep Seek, which is

0:38:28.000 --> 0:38:30.239
<v Speaker 16>another open source model, So it's sort of a validation

0:38:30.320 --> 0:38:31.439
<v Speaker 16>of their strategy there.

0:38:32.080 --> 0:38:35.399
<v Speaker 4>Meanwhile, Microsoft expecting eleven percent increase in revenue, but they've

0:38:35.400 --> 0:38:37.600
<v Speaker 4>got to vindicate their spending and indeed where the open

0:38:37.640 --> 0:38:41.320
<v Speaker 4>AI is is valuable without Since the deep Seek news.

0:38:42.040 --> 0:38:43.640
<v Speaker 9>Yeah, absolutely so that's this company.

0:38:43.719 --> 0:38:45.960
<v Speaker 16>They've disappointed the past couple of quarters, just based on

0:38:46.000 --> 0:38:49.680
<v Speaker 16>their share price reaction. Some concerns about the strength of

0:38:49.680 --> 0:38:52.040
<v Speaker 16>their cloud business. Is it growing fast enough for people

0:38:52.040 --> 0:38:55.760
<v Speaker 16>to justify paying the high multiple that Microsoft has, especially

0:38:55.800 --> 0:38:56.680
<v Speaker 16>relative to Meta.

0:38:56.760 --> 0:38:58.399
<v Speaker 9>That's going to be a real focus here.

0:38:58.440 --> 0:39:00.239
<v Speaker 16>And obviously that was the name that a I saw

0:39:00.280 --> 0:39:02.080
<v Speaker 16>a lot of weakness earlier this week on the deep

0:39:02.080 --> 0:39:02.720
<v Speaker 16>seek news.

0:39:02.960 --> 0:39:04.760
<v Speaker 9>A lot of implications.

0:39:04.080 --> 0:39:06.879
<v Speaker 16>For you know, how much money is being cloud into AI,

0:39:06.920 --> 0:39:09.879
<v Speaker 16>at least based on the traditional sort of architecture. Now,

0:39:09.920 --> 0:39:11.279
<v Speaker 16>if deep seek is able to do this in a

0:39:11.320 --> 0:39:14.000
<v Speaker 16>more efficient and cost effective manner, that really kind of

0:39:14.080 --> 0:39:16.640
<v Speaker 16>changes the economics behind some of the spinning that they've

0:39:16.680 --> 0:39:17.080
<v Speaker 16>been doing.

0:39:17.400 --> 0:39:20.080
<v Speaker 4>I'm les Delca. Got to be busy, thank you. Moving

0:39:20.120 --> 0:39:22.600
<v Speaker 4>on to two other companies also reporting after the Bell Service.

0:39:22.640 --> 0:39:24.160
<v Speaker 4>Now in IBM, let's get to it.

0:39:24.200 --> 0:39:25.520
<v Speaker 2>Boombergs Brodie Ford and.

0:39:25.680 --> 0:39:28.319
<v Speaker 4>Software is having its moment because of deep Seek. What

0:39:28.360 --> 0:39:29.320
<v Speaker 4>do we expect from IBM?

0:39:29.719 --> 0:39:33.959
<v Speaker 17>Absolutely so with IBM, their method of AI monetization thus

0:39:33.960 --> 0:39:37.120
<v Speaker 17>far as argument in their consulting business. Everyone's watching their

0:39:37.120 --> 0:39:40.840
<v Speaker 17>bookings around AI as it relates to consulting because that's

0:39:40.880 --> 0:39:42.319
<v Speaker 17>kind of a good place to be in with the

0:39:42.320 --> 0:39:45.280
<v Speaker 17>picks and shovels question because you know, no matter what happens,

0:39:45.320 --> 0:39:47.239
<v Speaker 17>even if the customers don't actually end up buying it,

0:39:47.560 --> 0:39:49.319
<v Speaker 17>ib able to help you set it up right. So

0:39:49.320 --> 0:39:52.120
<v Speaker 17>that's a good setup for Jeni at this moment. See

0:39:52.160 --> 0:39:54.799
<v Speaker 17>how folks are watching for that as well as their

0:39:54.840 --> 0:39:56.920
<v Speaker 17>own software business largely.

0:39:57.840 --> 0:40:00.960
<v Speaker 3>And Brodie on Service now Generative AI is also a

0:40:01.000 --> 0:40:03.520
<v Speaker 3>big part of their story. Tell us what you're looking

0:40:03.560 --> 0:40:06.520
<v Speaker 3>for this afternoon when they drop the application.

0:40:06.719 --> 0:40:10.160
<v Speaker 17>Software vendors were struggling a little while as it relates

0:40:10.160 --> 0:40:12.680
<v Speaker 17>to AI, but right now with the agent moment, there's

0:40:12.719 --> 0:40:16.759
<v Speaker 17>a lot more optimism, especially with deep seek. People say, hey,

0:40:16.920 --> 0:40:20.720
<v Speaker 17>are models getting cheaper. Maybe that's scary if you're in Nvidia,

0:40:20.840 --> 0:40:22.879
<v Speaker 17>but if you're a company that's going to buy those

0:40:22.960 --> 0:40:26.200
<v Speaker 17>models and then deliver them to your customers, that's actually

0:40:26.360 --> 0:40:26.880
<v Speaker 17>very good.

0:40:27.000 --> 0:40:27.640
<v Speaker 2>We see that the.

0:40:27.600 --> 0:40:30.040
<v Speaker 17>Service now is at about an all time high right now,

0:40:30.080 --> 0:40:32.479
<v Speaker 17>and you know, folks are whole. It's down a little

0:40:32.480 --> 0:40:35.319
<v Speaker 17>bit today, but yesterday they close that an all time high,

0:40:35.400 --> 0:40:38.920
<v Speaker 17>so investors are excited about the potential for the application

0:40:39.040 --> 0:40:41.520
<v Speaker 17>layer to really kind of start having its moment With Jennai.

0:40:42.280 --> 0:40:44.640
<v Speaker 4>Both of these stocks had their moment in twenty twenty

0:40:44.640 --> 0:40:48.360
<v Speaker 4>four though. Yes, IBM up thirty percent more than bestince

0:40:48.400 --> 0:40:50.719
<v Speaker 4>two thousand and I service now and its best year

0:40:50.800 --> 0:40:54.240
<v Speaker 4>up fifty percent. So is it all about just talking

0:40:54.320 --> 0:40:55.800
<v Speaker 4>up the AI narrative as much.

0:40:55.600 --> 0:40:56.120
<v Speaker 2>As they can.

0:40:56.440 --> 0:40:58.840
<v Speaker 17>That's a huge part of it. IBM had such a

0:40:58.840 --> 0:41:00.719
<v Speaker 17>great year last year because they were one of the

0:41:00.920 --> 0:41:03.919
<v Speaker 17>rare reacceleration stories with software. I mean, you could poke

0:41:03.960 --> 0:41:05.759
<v Speaker 17>at their growth right and say, oh man, it's only

0:41:05.840 --> 0:41:10.040
<v Speaker 17>two percent this and that, but their software business is accelerating.

0:41:10.040 --> 0:41:12.719
<v Speaker 17>I mean, the idea that IBM would become a serious

0:41:12.760 --> 0:41:16.480
<v Speaker 17>software contender, you know, five six years ago wasn't the

0:41:16.520 --> 0:41:19.200
<v Speaker 17>most popular take, but today we've seen that it really

0:41:19.239 --> 0:41:20.160
<v Speaker 17>has played out.

0:41:21.640 --> 0:41:24.799
<v Speaker 3>Bertie, Is there any weak spot in either of these

0:41:24.800 --> 0:41:28.239
<v Speaker 3>companies as they're heading into this afternoon that investors are

0:41:28.239 --> 0:41:29.680
<v Speaker 3>going to be concerned about?

0:41:29.680 --> 0:41:30.320
<v Speaker 5>In particular?

0:41:30.520 --> 0:41:33.520
<v Speaker 17>One X factor is that they are both pretty big

0:41:33.560 --> 0:41:37.840
<v Speaker 17>government you know, vendors, and obviously what doge right, I mean,

0:41:37.880 --> 0:41:40.080
<v Speaker 17>if the whole promise is that we're going to cut off,

0:41:40.840 --> 0:41:43.000
<v Speaker 17>you know, spending on unnecessary things.

0:41:43.120 --> 0:41:43.319
<v Speaker 12>Right.

0:41:43.719 --> 0:41:47.960
<v Speaker 17>Elon famously doesn't love to pay software bills at his

0:41:48.000 --> 0:41:50.759
<v Speaker 17>own companies, right, And so some investors have said, man,

0:41:50.880 --> 0:41:52.680
<v Speaker 17>is this going to be a concern when it comes

0:41:52.719 --> 0:41:55.920
<v Speaker 17>time to you know, a company like service now Is

0:41:55.960 --> 0:41:58.000
<v Speaker 17>sells so much into the federal government.

0:41:58.960 --> 0:42:01.839
<v Speaker 4>I correct myself, seve Now up fifty in twenty twenty four,

0:42:01.920 --> 0:42:04.760
<v Speaker 4>is actually up eighty one percent in age twenty three.

0:42:04.960 --> 0:42:07.360
<v Speaker 4>We'll see what it delivers tonight, Brady Ford. Great to

0:42:07.360 --> 0:42:09.680
<v Speaker 4>have him across both of the earnings. And that does

0:42:09.719 --> 0:42:12.440
<v Speaker 4>it for this edition of Bloomberg Technology. Don't forget to

0:42:12.520 --> 0:42:14.200
<v Speaker 4>check in on all of the earnings after the bell,

0:42:14.280 --> 0:42:16.000
<v Speaker 4>but also check out our podcast. You can find it

0:42:16.040 --> 0:42:18.240
<v Speaker 4>on the terminal as well as online on Apples, Spotify,

0:42:18.280 --> 0:42:21.440
<v Speaker 4>and iHeart from New York from San Francisco. This is

0:42:21.440 --> 0:42:22.880
<v Speaker 4>Bloomberg Technology.