WEBVTT - Meta Shares Plunge, Microsoft-Backed Rubrik Goes Public, ServiceNow CEO on Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the Heart where Innovation, money and power. Collie in

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<v Speaker 2>Silicon Valley NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 2>and Ed Ludlow.

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<v Speaker 3>I met Ludlow in San Francisco. Caroline hides on assignment.

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<v Speaker 3>This is Bloomberg Technology coming up. Meta says it will

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<v Speaker 3>be the world's leading AI company, But investors don't like

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<v Speaker 3>the roadmap to get their team coverage of a massive

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<v Speaker 3>drop in Zuckerberg's stock and from earnings to IPOs.

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<v Speaker 4>We speak to the.

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<v Speaker 3>CEO of Service Now on their quarterly numbers, and Rubric's

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<v Speaker 3>chief on listing day, and fourteen billion dollars goes to

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<v Speaker 3>Micron from the Chips Act to boost America's.

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<v Speaker 4>Memory chip prowess.

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<v Speaker 3>But first, there is only one story that matters right now,

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<v Speaker 3>and it is Meta. You see the share reaction. Zuckerberg

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<v Speaker 3>outlining billions and billions of dollars are going to go

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<v Speaker 3>into building out AI infrastructure. They're in investment mode, expenses

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<v Speaker 3>range raised, capex raised. But the focus of the calls

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<v Speaker 3>on the product cycle. How many years is it going

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<v Speaker 3>to take for this investment in AI at Meta to materialize?

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<v Speaker 4>In sales growth, that's the question.

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<v Speaker 3>The stock on track for its biggest drop since October

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<v Speaker 3>twenty twenty two. And given Meta's scale, remember how well

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<v Speaker 3>it's performed year to date. It was up more than

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<v Speaker 3>forty percent pre earnings. Look at the market cap. Look

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<v Speaker 3>at the scale of this company, but also the market

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<v Speaker 3>cap lost in this morning session alone. Let's get team coverage,

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<v Speaker 3>the reporting from Bloomberg's Kirk Wagner and the analysis from

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<v Speaker 3>Bloomberg Intelligence analysts man Deep sink kerk.

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<v Speaker 4>I'm going to start with you.

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<v Speaker 3>Mark Zuckerberg was on this call, but what he tried

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<v Speaker 3>to do was say, trust me and bear with me.

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<v Speaker 3>I've got a plan for AI to have an impact

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<v Speaker 3>on the existing business.

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<v Speaker 4>Explain what we learned. Yeah, that's exactly right.

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<v Speaker 5>He was basically saying, Look, this is going to be

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<v Speaker 5>a multi year investment. This is not the kind of

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<v Speaker 5>thing that's going to return, you know, to shareholders very quickly.

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<v Speaker 5>But be patient, right, he said, smart investors will see

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<v Speaker 5>the benefits of this long term plan, right, sort of

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<v Speaker 5>suggesting that hey, you know, anyone who's savvy, anyone who

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<v Speaker 5>that sees the future like I do, they're going to

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<v Speaker 5>be in this stock. Even though it's taken a little

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<v Speaker 5>bit of a short term hit, and so you know,

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<v Speaker 5>it was a little bit, as you say, combative. It

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<v Speaker 5>was one of those things that we don't necessarily always

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<v Speaker 5>hear from him, which is sort of you know, pleading investors, Hey,

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<v Speaker 5>be patient, hang tight, We're gonna get there eventually. But

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<v Speaker 5>you got to weather a little bit of a turbulence

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<v Speaker 5>in the meantime.

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<v Speaker 3>Mandy, when you look at the fundamentals of this company,

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<v Speaker 3>you and I were discussing before the earnings print, where

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<v Speaker 3>do we look to see if there is already avidence

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<v Speaker 3>the AI is impacting the top or bottom line. I

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<v Speaker 3>looked at the impressions growth. I looked at the pricing

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<v Speaker 3>growth of ads, because this is an advertising based business.

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<v Speaker 4>What did you see in those numbers?

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<v Speaker 6>Yeah, I mean the impressions growth continues to be very impressive,

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<v Speaker 6>you know, twenty percent, and that's driven by better feed recommendations.

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<v Speaker 6>At targeting is better and at pricing. It was much

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<v Speaker 6>better in the Europe region. If you part through the numbers,

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<v Speaker 6>North America was lighter. Part of that could be explained

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<v Speaker 6>from the pullback. You know that everyone is expecting from

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<v Speaker 6>Chinese advertisers like Timu and Shane, but they didn't call

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<v Speaker 6>that out. So clearly that's a risk, and that's why

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<v Speaker 6>that guidance that top line guide was wide when you

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<v Speaker 6>look for two Q but look at the end of

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<v Speaker 6>the day, when you look at the cost growth, the

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<v Speaker 6>cost of revenue growth, that will be in double digits.

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<v Speaker 6>So if that mid to high teens revenue doesn't pan

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<v Speaker 6>out for some reason, and look, advertising is cyclic, that's

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<v Speaker 6>when you will see margin compression. I mean, so for

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<v Speaker 6>the story has been cost control and revenue grold. They're accelerating.

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<v Speaker 6>Now that story could change because the cost will grow

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<v Speaker 6>double DIY did and if the revenue world doesn't match,

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<v Speaker 6>that's when there is a risk.

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<v Speaker 3>We're showing you the markets right now. Meta is down

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<v Speaker 3>twelve percent, but on a points basis, clearly it's dragging

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<v Speaker 3>down the NAS that one hundred s and P five hundred,

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<v Speaker 3>the Philadelphia Semiconductor Index or socks. I put that on

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<v Speaker 3>there because there was knee jerk reaction in particular in

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<v Speaker 3>video last night that fell.

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<v Speaker 4>It is now up three.

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<v Speaker 3>Percent, and I think the logic is Zuckerberg said three

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<v Speaker 3>hundred and fifty thousand, h one hundred GPUs will come

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<v Speaker 3>online this year as Meta trains its AI model and Kurt.

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<v Speaker 4>The other area of interest.

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<v Speaker 3>Is Zuckerberg's kind of fired up about things that surprised me.

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<v Speaker 4>Glasses.

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<v Speaker 3>He spent a lot of time talking about glasses. But

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<v Speaker 3>there are still lots of confusion. Well, okay, wait, is

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<v Speaker 3>the metaverse still a strategy?

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<v Speaker 4>Also? The Year of Efficiency? Is that still a thing?

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<v Speaker 3>Just try and clear up the muddy waters for us

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<v Speaker 3>on what Zuckerberg's trying to do.

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<v Speaker 5>Yeah, I mean, there's so many things that they're working

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<v Speaker 5>on at one time, it's understandable that someone might be

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<v Speaker 5>a little bit confused. But he did bring up the

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<v Speaker 5>glasses a lot, and what he basically said was these

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<v Speaker 5>are progressing much faster than I anticipated. Right, So the glasses,

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<v Speaker 5>for those who aren't familiar, this is the idea of

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<v Speaker 5>wearing a pair of specs that look like maybe reading

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<v Speaker 5>glasses or sunglasses, but that have all kinds of AI

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<v Speaker 5>or AR features packed into them. They're working with ray

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<v Speaker 5>Band to produce these right now. And I think what

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<v Speaker 5>Mark Zuckerberg was saying was that these have gotten so

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<v Speaker 5>good so fast that it's encouraged me to continue to

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<v Speaker 5>invest in AI, to continue to put money into Reality Labs,

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<v Speaker 5>the group that's building this, and so you know, I

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<v Speaker 5>think this has always been his long term vision. He

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<v Speaker 5>thought that the glasses would sort of be the next

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<v Speaker 5>iteration of a phone, you would wear it on your face.

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<v Speaker 5>But now he's saying he thinks they're getting their faster

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<v Speaker 5>than he anticipated, which is why we're seeing this increase in.

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<v Speaker 4>Spand Okay, gentlemen, bear with me.

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<v Speaker 3>We've actually had a sort of breaking news headline since

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<v Speaker 3>we've come on the air, and it relates to TikTok.

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<v Speaker 3>Byte Dance has published on its Chinese website a statement

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<v Speaker 3>basically saying it has no plan to sell TikTok. BikeE

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<v Speaker 3>Dance has no plan to sell TikTok. I think we

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<v Speaker 3>need to dig a bit deeper in the coming days

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<v Speaker 3>to understand what they specifically.

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<v Speaker 4>Mean by that. Mandeep.

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<v Speaker 3>You've also published research your latest thinking on TikTok just

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<v Speaker 3>this morning on the Bloomberg terminal.

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<v Speaker 4>Just explain the basics of it to us, please, Yeah.

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<v Speaker 6>I mean, look at TikTok has a lot of original

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<v Speaker 6>content that goes to you know, snap, that goes through Instagram, YouTube,

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<v Speaker 6>and so if TikTok has been a lot of those

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<v Speaker 6>creators have to go to some other platform. Now, whether

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<v Speaker 6>it's going to be YouTube shorts or Instagram reels, we

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<v Speaker 6>don't know, but you can see that a lot of

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<v Speaker 6>the original content creation happens on TikTok, and that's where

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<v Speaker 6>I think you will see Meta being a beneficiary. But

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<v Speaker 6>I'm excited to look at, you know, the YouTube numbers

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<v Speaker 6>tonight because to me, YouTube should be the fifteen percent

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<v Speaker 6>consensus numbers handedly given the kind of you know, viewership

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<v Speaker 6>gains that you have already seen, you know, with YouTube,

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<v Speaker 6>and so I think that's the one aspect that people

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<v Speaker 6>need to think about is the creators aren't going to

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<v Speaker 6>wait for nine months to move. They're already gonna start

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<v Speaker 6>thinking about what's the alternative platform where they can move

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<v Speaker 6>their followers. And I think that's going to determine gains

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<v Speaker 6>for snap, YouTube and Meta in the coming months.

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<v Speaker 3>I think it's important we note that on the Earning

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<v Speaker 3>School for Meta and analyst asked Mark Zuckerberg for reaction

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<v Speaker 3>to TikTok. Susan Lee, the CFO, jumped in and said

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<v Speaker 3>that they're monitoring that situation closely, but it was too

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<v Speaker 3>early to tell the impact of a TikTok dive or

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<v Speaker 3>ban on Meta's business. We're going to dig much deeper

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<v Speaker 3>into Meta throughout the hour, but big thanks to the

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<v Speaker 3>Bloomberg Kirk Wagner of Bloomberg News and man Deep Singh

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<v Speaker 3>of Bloomberg Intelligence coming up on the program.

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<v Speaker 4>Service now is.

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<v Speaker 3>Sales forecast full short of all street expectations, but there

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<v Speaker 3>is some positive outlook.

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<v Speaker 4>It's AI related.

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<v Speaker 3>We're going to speak to the CEO, Bill McDermott. There

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<v Speaker 3>is a lot happening at once in the markets as well.

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<v Speaker 3>Microsoft and Google our alphabet the parent at Google report

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<v Speaker 3>after the bell. Those are pretty significant declines and the

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<v Speaker 3>idea here is that we're worried on the back of

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<v Speaker 3>Meta's earnings. We're worried that all of this spend on

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<v Speaker 3>AI infrastructure is not bringing some big boom in generative

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<v Speaker 3>AI driven sales growth, actual software products that people use

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<v Speaker 3>and those companies make money from. It's going to be

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<v Speaker 3>such an interesting afternoon. This is Bloomberg Technology Service now

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<v Speaker 3>out with first quarter results, but it's the outlook where

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<v Speaker 3>the focus is projecting subscription sales will increase about twenty

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<v Speaker 3>two two and a half billion dollars in the current

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<v Speaker 3>period that was a little bit below what the street

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<v Speaker 3>was expecting. But those are street expectations. What about the

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<v Speaker 3>big expectations of the company's CEO. Bill McDermott, CEO of

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<v Speaker 3>Service Now, joins us. Now a Bill, good morning to you.

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<v Speaker 3>Let's cover off the classic earning stuff. You have a

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<v Speaker 3>strong quarter and then you give an outlook which, relative

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<v Speaker 3>to consensus estimates, was a bit disappointing. What would your

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<v Speaker 3>pushback to that market reaction be.

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<v Speaker 7>Well, first, I think you have to look at the

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<v Speaker 7>triple play that we just pulled off ed. We had

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<v Speaker 7>a beat on the top line, a beat on the

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<v Speaker 7>bottom line, and we raised the full year guidance. So

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<v Speaker 7>if the high class problem was solving for is we

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<v Speaker 7>didn't raise the guidance enough. Everyone can really relax because

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<v Speaker 7>over the last five years that I've been here, we

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<v Speaker 7>always beat and we have every expectation of doing so again.

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<v Speaker 3>Bill, I actually want to invite you to give the

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<v Speaker 3>basics of what Service Now does. I think a big

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<v Speaker 3>portion of the audience know the name, they might appreciate,

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<v Speaker 3>just an explanation of what it is you're out there

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<v Speaker 3>in the world doing. And my summary basically is you're

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<v Speaker 3>trying to capture it spend, you know, the budget for

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<v Speaker 3>it spend from all kinds of companies.

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<v Speaker 1>Yeah.

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<v Speaker 7>I think the best way to sum it up is

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<v Speaker 7>think of Service now as the AI platform for business transformation.

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<v Speaker 7>If you look at companies today, they need a platform

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<v Speaker 7>on an end to end basis, from it to the

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<v Speaker 7>employee experience, the way they run their customer relationships, and

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<v Speaker 7>the way they build new products. They need one place

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<v Speaker 7>that can do all of that. And what's unique about

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<v Speaker 7>ours We built it organically. There's no tech dead in it,

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<v Speaker 7>and it's pristine. It's a sheet of glass that lies

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<v Speaker 7>above the mess that's been created for the last half century.

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<v Speaker 7>And the big movement today is now, what is the

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<v Speaker 7>new frontier. The new frontier is Jeni And people say, Jeni,

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<v Speaker 7>what does that mean. It means the companies and the

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<v Speaker 7>CEOs that are watching this program need to optimize their processes.

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<v Speaker 7>Every business workflow in every enterprise will be engineered with Jeni.

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<v Speaker 7>We are the first mover and the market leader in

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<v Speaker 7>that category in the enterprise. So the future glide path

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<v Speaker 7>could not be brighter.

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<v Speaker 3>Build The stock is down almost six percent. I note

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<v Speaker 3>that there is some pressure in the market this morning.

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<v Speaker 3>Because of metas earned and we'll get to that in

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<v Speaker 3>a bit, but let's talk about RPO because I think

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<v Speaker 3>that gives some evidence of the backlog. RPO meaning remaining

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<v Speaker 3>performance obligations. That's basically SAS speak for backlog. You've got

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<v Speaker 3>a backlog. Why should the investor base be more positive

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<v Speaker 3>about that backlog?

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<v Speaker 7>Well, they should feel really good that we have nearly

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<v Speaker 7>eighteen billion dollars and remaining performance obligations. So that is

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<v Speaker 7>business we have in the backlog that has yet to

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<v Speaker 7>be fully recognized. So the backlog is there. We're beating

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<v Speaker 7>on the revenue. Just think about this. We beat on

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<v Speaker 7>the revenue by one hundred basis points, we beat on

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<v Speaker 7>the margin by one hundred and fifty basis points. Our

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<v Speaker 7>free cash flow is up forty seven percent, and our

0:12:48.280 --> 0:12:51.520
<v Speaker 7>gross profit was up eighty three percent. And we're talking

0:12:51.559 --> 0:12:55.280
<v Speaker 7>about was the increase in the guide enough and you

0:12:55.440 --> 0:12:59.439
<v Speaker 7>just mentioned it ed perfectly. There's eighteen billion in backlog.

0:12:59.800 --> 0:13:02.440
<v Speaker 7>So the company is really on a tear. And one

0:13:02.440 --> 0:13:05.080
<v Speaker 7>of the reasons it's on a taar is you have

0:13:05.120 --> 0:13:08.840
<v Speaker 7>great companies like Microsoft and IBM as an example, that

0:13:08.880 --> 0:13:13.920
<v Speaker 7>are transforming their employee experience with a digital first support model,

0:13:14.360 --> 0:13:17.760
<v Speaker 7>freeing up all kinds of resources and fueling innovations on

0:13:17.880 --> 0:13:22.600
<v Speaker 7>Service now is Genai. Novartis is delivering new drugs and

0:13:22.760 --> 0:13:28.679
<v Speaker 7>increasing operational efficiency by streamlining clinical trials, research and financial

0:13:28.720 --> 0:13:33.839
<v Speaker 7>management with our Genai and countless other examples. So Jenai

0:13:33.920 --> 0:13:35.320
<v Speaker 7>right now is a.

0:13:35.240 --> 0:13:37.880
<v Speaker 4>Small part of the overall total.

0:13:38.080 --> 0:13:41.200
<v Speaker 7>You know, we're a ten billion run recloud company. But

0:13:42.040 --> 0:13:47.160
<v Speaker 7>the uptick in future sales and generative AI when companies

0:13:47.240 --> 0:13:50.400
<v Speaker 7>re engineer the way they run on our platform, is

0:13:50.440 --> 0:13:54.000
<v Speaker 7>that believable because there'll be half a trillion spent on

0:13:54.080 --> 0:13:57.400
<v Speaker 7>it in twenty twenty seven alone. So this is a

0:13:57.440 --> 0:14:00.960
<v Speaker 7>really big market. We're the leader, and we're teaming up

0:14:01.000 --> 0:14:04.040
<v Speaker 7>with the best in the business like in Nvidio, Microsoft,

0:14:04.080 --> 0:14:06.920
<v Speaker 7>IBM and others to create a bright future.

0:14:07.880 --> 0:14:10.440
<v Speaker 3>No that again, build The stock is down six percent,

0:14:10.520 --> 0:14:13.360
<v Speaker 3>and there are reasons why for that in the short term.

0:14:13.760 --> 0:14:16.600
<v Speaker 3>One of them is probably Meta. I know that you're

0:14:16.679 --> 0:14:20.440
<v Speaker 3>the CEO of Service Now, but to extrapolate from Meta,

0:14:21.080 --> 0:14:24.680
<v Speaker 3>part of the concern last night was all this investment

0:14:24.720 --> 0:14:28.680
<v Speaker 3>is going into the underlying infrastructure that supports generative AI.

0:14:29.200 --> 0:14:30.720
<v Speaker 4>But Meta is a case study.

0:14:31.480 --> 0:14:35.640
<v Speaker 3>They're not yet seeing that investment in the infrastructure translate

0:14:35.720 --> 0:14:38.080
<v Speaker 3>to top line growth in the form of software. Right,

0:14:38.400 --> 0:14:42.240
<v Speaker 3>tangible evidence that they're selling AI as a product as

0:14:42.280 --> 0:14:45.520
<v Speaker 3>a platform. In your case, you are only selling it

0:14:45.560 --> 0:14:46.640
<v Speaker 3>as a software layer.

0:14:47.400 --> 0:14:49.600
<v Speaker 4>Just just explain that thesis.

0:14:49.760 --> 0:14:53.040
<v Speaker 3>Should we be as concerned that Corporate America has not

0:14:53.120 --> 0:14:54.800
<v Speaker 3>yet worked out how to sell ai?

0:14:56.280 --> 0:15:00.800
<v Speaker 7>Absolutely, So let's differentiate. First of all, metas great company.

0:15:01.440 --> 0:15:04.920
<v Speaker 7>They had very good results and their guide might have

0:15:05.000 --> 0:15:08.480
<v Speaker 7>been a little muted in terms of the return on Genai.

0:15:09.080 --> 0:15:13.280
<v Speaker 7>They're running large language models and that's very important for

0:15:13.400 --> 0:15:16.160
<v Speaker 7>the future of the world, and they're doing a great job.

0:15:16.520 --> 0:15:21.520
<v Speaker 7>We're running small language models, which basically means we run

0:15:22.240 --> 0:15:27.320
<v Speaker 7>our platform with the customer's data in mind. So it's

0:15:27.440 --> 0:15:33.080
<v Speaker 7>rocket fast, zero latency because we're using the customer's own data.

0:15:33.920 --> 0:15:41.080
<v Speaker 7>There is total accuracy and it is very inexpensive, and

0:15:41.120 --> 0:15:46.040
<v Speaker 7>that's why customers are buying our Genai now because it's secure,

0:15:46.640 --> 0:15:49.840
<v Speaker 7>it's inexpensive to run, and it's one hundred percent accurate

0:15:49.960 --> 0:15:53.000
<v Speaker 7>based on the customer's data. So that is what they're

0:15:53.000 --> 0:15:57.400
<v Speaker 7>buying right now. We also have an open platform where

0:15:57.440 --> 0:16:00.600
<v Speaker 7>we integrate with Meta and we integrate with Google and

0:16:00.760 --> 0:16:04.600
<v Speaker 7>Microsoft and all the other market leading companies out there,

0:16:04.920 --> 0:16:09.240
<v Speaker 7>should the customer want to reach into large language models,

0:16:09.280 --> 0:16:13.200
<v Speaker 7>and we've teamed up with Nvidia where Nvidia probably our

0:16:13.200 --> 0:16:17.800
<v Speaker 7>greatest partner in this category is running small language models

0:16:17.840 --> 0:16:21.000
<v Speaker 7>for US and large language models with their compute power.

0:16:21.440 --> 0:16:23.560
<v Speaker 7>Let me give you an example of it. Let's think

0:16:23.560 --> 0:16:29.000
<v Speaker 7>about employees and customers. Think about GENAI deflecting all the

0:16:29.080 --> 0:16:32.360
<v Speaker 7>soul crushing work that people don't want to do anymore.

0:16:32.920 --> 0:16:37.280
<v Speaker 7>So think of employee and customer deflection where virtual agents

0:16:37.360 --> 0:16:39.920
<v Speaker 7>can actually do the work that people used to have

0:16:40.040 --> 0:16:44.720
<v Speaker 7>to do. Think about software engineers increasing their productivity or

0:16:44.720 --> 0:16:48.760
<v Speaker 7>their speed of innovation by nearly fifty percent by texting

0:16:48.840 --> 0:16:53.120
<v Speaker 7>something in natural language and turning that into software codes.

0:16:53.400 --> 0:16:56.680
<v Speaker 7>And there's several other examples. But the point is small

0:16:56.760 --> 0:17:00.760
<v Speaker 7>language models are selling today when a lot of money

0:17:00.760 --> 0:17:05.560
<v Speaker 7>at it, and large language models are also available on

0:17:05.600 --> 0:17:08.800
<v Speaker 7>our platform. But our customers are really teaming up with

0:17:09.000 --> 0:17:14.640
<v Speaker 7>Microsoft for example on Copilot and service now on our

0:17:14.800 --> 0:17:19.080
<v Speaker 7>virtual assist AI platform, and we got it together. Is

0:17:19.160 --> 0:17:22.959
<v Speaker 7>better solution for the marketplace, and that's what's selling today.

0:17:23.720 --> 0:17:26.640
<v Speaker 4>Bill, I appreciate the debt for the answer. Bill McDermott,

0:17:26.680 --> 0:17:27.399
<v Speaker 4>CEO of Service.

0:17:27.400 --> 0:17:30.560
<v Speaker 3>Now, thank you so much coming out Microsoft back, Rubik

0:17:30.600 --> 0:17:33.520
<v Speaker 3>goes public mid arizing demand for data security. We do

0:17:33.520 --> 0:17:35.800
<v Speaker 3>speak to the CEO people sing you next. This is

0:17:35.800 --> 0:17:54.879
<v Speaker 3>Bloomberg Technology. Rubric, which focuses on data management, recovery from

0:17:54.960 --> 0:17:59.800
<v Speaker 3>ransomware attacks, and accelerates cloud mobility, is officially going public.

0:17:59.480 --> 0:17:59.960
<v Speaker 4>And joining us.

0:18:00.080 --> 0:18:05.120
<v Speaker 3>Now is Rubrics CEO people Senior. The shares are indicated

0:18:05.200 --> 0:18:08.840
<v Speaker 3>to open at thirty eight dollars a share. You price

0:18:08.920 --> 0:18:11.359
<v Speaker 3>this IPO at thirty two. Just tell me what that

0:18:11.400 --> 0:18:12.200
<v Speaker 3>means to you today.

0:18:12.560 --> 0:18:14.720
<v Speaker 8>Thank you Ed for this opportunity to speak with you.

0:18:15.000 --> 0:18:18.320
<v Speaker 8>It's a very exciting day for Rubric employees, our customers,

0:18:18.359 --> 0:18:22.440
<v Speaker 8>our partners, and everybody in our ecosystem around the world. Look,

0:18:22.760 --> 0:18:25.800
<v Speaker 8>I will leave this stock price to the experts and

0:18:25.840 --> 0:18:30.240
<v Speaker 8>the traders. Ultimately, we are a different kind of cybersecurity company,

0:18:30.240 --> 0:18:33.240
<v Speaker 8>and we are helping our customers continue to run their

0:18:33.280 --> 0:18:36.959
<v Speaker 8>business even in presence of cyber attacks and breaches, so

0:18:37.000 --> 0:18:40.360
<v Speaker 8>that hospitals are open, kids are going to school. When

0:18:40.400 --> 0:18:43.919
<v Speaker 8>people swipe credit card, they get money out, irrespective of

0:18:43.920 --> 0:18:45.800
<v Speaker 8>whether there's a successful cyber attack or not.

0:18:47.840 --> 0:18:51.760
<v Speaker 3>People, did you really need to go public for the visibility.

0:18:52.200 --> 0:18:54.919
<v Speaker 3>Like your business seems to be doing quite well. Do

0:18:54.960 --> 0:18:57.520
<v Speaker 3>you think this actually tangibly improves your sales?

0:18:59.160 --> 0:19:02.080
<v Speaker 8>Look, we are working with a number of customers around

0:19:02.080 --> 0:19:05.800
<v Speaker 8>the world, having more visibility, having more brand name recognition,

0:19:05.880 --> 0:19:08.199
<v Speaker 8>and more importantly, when you are as a public company,

0:19:08.280 --> 0:19:12.320
<v Speaker 8>everybody can see your numbers and they understand the resilience

0:19:12.320 --> 0:19:15.040
<v Speaker 8>of the business. That's actually good for our customers, that's

0:19:15.080 --> 0:19:18.200
<v Speaker 8>actually good for our ecosystem, and it also helps us

0:19:18.520 --> 0:19:22.000
<v Speaker 8>be in front of more innovative companies, talk to them

0:19:22.000 --> 0:19:26.200
<v Speaker 8>about our story and essentially help them against the ransomware

0:19:26.240 --> 0:19:29.280
<v Speaker 8>attack and another cyber attack, to deliver cyber recovery and

0:19:29.320 --> 0:19:30.680
<v Speaker 8>cyber resilience.

0:19:32.119 --> 0:19:32.479
<v Speaker 4>People.

0:19:32.520 --> 0:19:35.480
<v Speaker 3>I spent two years asking you if you'd go public.

0:19:35.640 --> 0:19:39.040
<v Speaker 3>You finally and eventually are doing it. But I think

0:19:39.080 --> 0:19:41.040
<v Speaker 3>there's a feeling that there's a hell of a premium

0:19:41.359 --> 0:19:43.600
<v Speaker 3>on this IPO. A lot of people want to see

0:19:43.600 --> 0:19:47.399
<v Speaker 3>evidence of revenue and profit that comes from this. But

0:19:47.440 --> 0:19:52.280
<v Speaker 3>you resisted the temptation to talk endlessly about AI. You're

0:19:52.320 --> 0:19:54.360
<v Speaker 3>saying you don't have a core AI story.

0:19:56.119 --> 0:19:58.560
<v Speaker 8>We do have a core AI story. Rubric has been

0:19:58.560 --> 0:20:01.600
<v Speaker 8>building AI for last ten year, In fact, our data

0:20:01.640 --> 0:20:06.040
<v Speaker 8>threat Engine is built on AI platform that delivers security

0:20:06.040 --> 0:20:09.520
<v Speaker 8>intelligence directly from the data. And more recently, we announced

0:20:09.520 --> 0:20:12.680
<v Speaker 8>a product Ruby, which is a generative AI based AI

0:20:12.760 --> 0:20:18.320
<v Speaker 8>data defense and recovery that helps cyber defender fight fire

0:20:18.320 --> 0:20:21.600
<v Speaker 8>with fire. Because you know attackers are applying AI in

0:20:21.680 --> 0:20:24.520
<v Speaker 8>terms of how they are increasing the volume, variability and

0:20:24.600 --> 0:20:28.960
<v Speaker 8>velocity of attacks. We are allowing the defenders use AI

0:20:29.359 --> 0:20:32.199
<v Speaker 8>in terms of rule Break and Ruby so that they

0:20:32.240 --> 0:20:35.840
<v Speaker 8>can deliver cyber resilience and cyber recovery.

0:20:36.280 --> 0:20:37.240
<v Speaker 4>People very quickly.

0:20:37.280 --> 0:20:41.800
<v Speaker 3>Microsoft remains an important financial and technology partner to you.

0:20:42.240 --> 0:20:44.480
<v Speaker 3>How will that relationship work now going forward?

0:20:45.680 --> 0:20:48.480
<v Speaker 8>We have a very strong relationship with Microsoft. In fact,

0:20:48.520 --> 0:20:51.960
<v Speaker 8>we were Microsoft Partner of the Year in twenty twenty three,

0:20:52.000 --> 0:20:55.560
<v Speaker 8>both both for US and UK. We continue to coinovate together,

0:20:55.680 --> 0:20:59.360
<v Speaker 8>continue to help our joint customers get cyber resilience, make

0:20:59.400 --> 0:21:02.520
<v Speaker 8>sure that they can withstand cyber attacks and continue to

0:21:02.560 --> 0:21:06.439
<v Speaker 8>run their business, because, after all, digital trust starts with

0:21:06.600 --> 0:21:10.440
<v Speaker 8>keeping the services up and running when you are attacked,

0:21:10.480 --> 0:21:12.159
<v Speaker 8>even if the cyber beach has happened to you.

0:21:13.320 --> 0:21:16.040
<v Speaker 3>Rubric CEO people signor after two years of asking if

0:21:16.080 --> 0:21:27.280
<v Speaker 3>you go public, you did thank you. Okay, Welcome back

0:21:27.280 --> 0:21:29.480
<v Speaker 3>to Bloomberg Technology, Ed Ludlow here in San Francisco.

0:21:29.640 --> 0:21:30.680
<v Speaker 4>Let's talk about TikTok.

0:21:30.960 --> 0:21:34.040
<v Speaker 3>The clock is ticking for TikTok to avoid its behan

0:21:34.160 --> 0:21:37.879
<v Speaker 3>in the US should it be unable to divest. Joining

0:21:37.960 --> 0:21:40.800
<v Speaker 3>US now from DC is Bloomberg's Mike Shepard, and Mike

0:21:40.880 --> 0:21:44.560
<v Speaker 3>basically leads our coverage of the intersection of politics and tech.

0:21:44.840 --> 0:21:46.840
<v Speaker 3>We had that breaking news headline at the top of

0:21:46.880 --> 0:21:50.720
<v Speaker 3>the am mic that Bite Dance saying through its Chinese

0:21:50.720 --> 0:21:55.879
<v Speaker 3>website that it has no plan to divest or no

0:21:56.160 --> 0:22:00.400
<v Speaker 3>plan to sell TikTok. That was the wording or translation.

0:22:01.040 --> 0:22:03.520
<v Speaker 3>I don't really feel like I understand what they mean

0:22:03.560 --> 0:22:04.960
<v Speaker 3>by that they're digging in.

0:22:05.040 --> 0:22:09.679
<v Speaker 9>Basically, they are digging in, and the statement in a

0:22:09.720 --> 0:22:12.320
<v Speaker 9>way is not that much of a surprise. They've made

0:22:12.400 --> 0:22:16.440
<v Speaker 9>clear through this process. As the legislation started to take

0:22:16.520 --> 0:22:21.040
<v Speaker 9>shape last month, that really started to look real, look

0:22:21.160 --> 0:22:23.320
<v Speaker 9>like it was going to happen, that they had no

0:22:23.440 --> 0:22:25.920
<v Speaker 9>intention of playing ball, and that in fact, they would

0:22:26.000 --> 0:22:30.000
<v Speaker 9>try to fight it with every arrow in their quiver.

0:22:30.480 --> 0:22:33.040
<v Speaker 9>They really want to make sure that they are able

0:22:33.040 --> 0:22:36.720
<v Speaker 9>to hold on to this valuable asset and resist what

0:22:36.800 --> 0:22:39.960
<v Speaker 9>they see as and the Chinese government also sees as

0:22:40.320 --> 0:22:44.080
<v Speaker 9>interference in valuable media property.

0:22:43.920 --> 0:22:47.840
<v Speaker 3>So there's a lot that's happening quite quickly. We'd reported

0:22:47.880 --> 0:22:51.399
<v Speaker 3>that by Dance was thinking about a solution where it

0:22:51.520 --> 0:22:55.200
<v Speaker 3>sold TikTok but without its sacred algorithm, and on the

0:22:55.240 --> 0:22:58.199
<v Speaker 3>show yesterday we talked about why that algorithm is so

0:22:58.240 --> 0:23:03.960
<v Speaker 3>important for content creators. The President signed this law, signed

0:23:03.960 --> 0:23:06.359
<v Speaker 3>this into lawy yesterday, but as far as I'm aware,

0:23:06.400 --> 0:23:10.320
<v Speaker 3>the President hasn't actually commented or specifically talked about his

0:23:10.440 --> 0:23:13.240
<v Speaker 3>view on TikTok. Just update us on the politics, I

0:23:13.280 --> 0:23:15.400
<v Speaker 3>guess of the last twenty four hours.

0:23:16.640 --> 0:23:19.920
<v Speaker 9>This is a great question need because politics has really

0:23:20.000 --> 0:23:24.159
<v Speaker 9>surrounded this, not only the geopolitics between the US and China,

0:23:24.240 --> 0:23:27.800
<v Speaker 9>but even the domestic politics. And when it surfaced back

0:23:27.840 --> 0:23:30.560
<v Speaker 9>in March, President Joe Biden said he would sign it.

0:23:30.680 --> 0:23:34.080
<v Speaker 9>He would sign the measure, but he hasn't really expounded

0:23:34.160 --> 0:23:37.240
<v Speaker 9>much more on it now. To be clear, the TikTok

0:23:37.240 --> 0:23:40.360
<v Speaker 9>bill was attached to a much larger foreign aid package,

0:23:40.440 --> 0:23:43.840
<v Speaker 9>which was a far greater priority for the President and

0:23:43.880 --> 0:23:47.520
<v Speaker 9>his administration. They wanted to see a to Ukraine get

0:23:47.560 --> 0:23:50.840
<v Speaker 9>through above anything else, and in his remarks yesterday, he

0:23:50.920 --> 0:23:53.720
<v Speaker 9>really devoted the lion's share of his commentary to that.

0:23:54.200 --> 0:23:58.040
<v Speaker 9>At the same time, his spokesperson made clear yesterday after

0:23:58.080 --> 0:24:02.199
<v Speaker 9>the President spoke that selling TikTok a full divestiture was

0:24:02.240 --> 0:24:05.400
<v Speaker 9>something that they wanted. At the same time, they do

0:24:05.440 --> 0:24:07.840
<v Speaker 9>not want to see the apps shut down. They respect

0:24:07.840 --> 0:24:11.359
<v Speaker 9>that many US users derive great enjoyment from it, and

0:24:11.600 --> 0:24:14.640
<v Speaker 9>also for many it is also a source of business,

0:24:14.920 --> 0:24:17.480
<v Speaker 9>and that is something that the administration does not want

0:24:17.480 --> 0:24:18.359
<v Speaker 9>to see shut down.

0:24:19.200 --> 0:24:22.360
<v Speaker 3>Bloomberg's Mike Shepherd out of DC really appreciate the coverage

0:24:22.359 --> 0:24:23.600
<v Speaker 3>and I think we're going to be talking about this

0:24:23.680 --> 0:24:26.160
<v Speaker 3>quite a lot for at least two hundred and seventy days.

0:24:26.200 --> 0:24:26.560
<v Speaker 4>Thank you.

0:24:27.040 --> 0:24:28.719
<v Speaker 3>I'm going to keep a conversation going and get some

0:24:28.920 --> 0:24:32.800
<v Speaker 3>kind of the market analysis. Jasmin Enberg is principal analysts

0:24:33.040 --> 0:24:37.440
<v Speaker 3>at Insider Intelligence. We're wading through a lot of unknowns.

0:24:38.240 --> 0:24:40.919
<v Speaker 3>But where is your head at, Jasmine? You look at

0:24:40.920 --> 0:24:43.159
<v Speaker 3>TikTok from the point of view, well, this is a

0:24:43.160 --> 0:24:45.919
<v Speaker 3>platform that almost fifty percent of Americans are using.

0:24:46.600 --> 0:24:47.760
<v Speaker 4>What do you think will happen?

0:24:48.960 --> 0:24:51.800
<v Speaker 1>Well, I think the announcement from Bytown today that they

0:24:51.800 --> 0:24:54.239
<v Speaker 1>weren't going to sell was to be expected. I mean,

0:24:54.280 --> 0:24:57.400
<v Speaker 1>TikTok has already said it's going to wage an intense

0:24:57.520 --> 0:24:59.760
<v Speaker 1>legal battle. I think the question for me is what

0:24:59.800 --> 0:25:02.720
<v Speaker 1>how weapons now with all of this uncertainty. I mean,

0:25:02.760 --> 0:25:05.840
<v Speaker 1>TikTok obviously has a lot of loyal users. Many of

0:25:05.880 --> 0:25:09.520
<v Speaker 1>them have already come out in full force to defend

0:25:09.560 --> 0:25:12.119
<v Speaker 1>the app, and I expect they'll do so again. I

0:25:12.240 --> 0:25:16.080
<v Speaker 1>don't expect many of them to leave, And advertisers aren't

0:25:16.119 --> 0:25:18.720
<v Speaker 1>going to leave as long as there's audiences to reach

0:25:18.800 --> 0:25:21.960
<v Speaker 1>and content creators of courts, which are a really important

0:25:22.000 --> 0:25:24.520
<v Speaker 1>part of the app, aren't going to leave if there

0:25:24.840 --> 0:25:27.440
<v Speaker 1>is money to be made. But if there's one thing

0:25:27.480 --> 0:25:32.640
<v Speaker 1>that advertisers don't like, it's uncertainty. And if this uncertainty

0:25:32.760 --> 0:25:36.320
<v Speaker 1>surrounding the legal battle and what happens to Tiktoks sends

0:25:36.480 --> 0:25:40.640
<v Speaker 1>enough of them running for higher ground, that could eventually

0:25:40.760 --> 0:25:43.960
<v Speaker 1>lead to creators starting to leave, and users will follow

0:25:44.040 --> 0:25:47.399
<v Speaker 1>creators wherever they go, and that could end to or

0:25:47.480 --> 0:25:50.560
<v Speaker 1>end up doing in an undoing of TikTok even before

0:25:50.640 --> 0:25:53.879
<v Speaker 1>this matter is resolved in courts, or if it binds

0:25:53.880 --> 0:25:55.800
<v Speaker 1>the buyer in wittance changes its mind.

0:25:56.720 --> 0:25:59.960
<v Speaker 3>So Jasmine coming into the show today before the head

0:26:00.040 --> 0:26:03.320
<v Speaker 3>line crossed about Byte Dance having no plan to sell TikTok,

0:26:03.720 --> 0:26:06.760
<v Speaker 3>what was your thesis before that moment on TikTok?

0:26:08.119 --> 0:26:11.359
<v Speaker 1>My thesis in terms of whether it was going to

0:26:11.400 --> 0:26:12.159
<v Speaker 1>be sold or not.

0:26:12.240 --> 0:26:13.240
<v Speaker 4>I mean, what I was.

0:26:13.160 --> 0:26:16.520
<v Speaker 1>Thinking about mostly was in terms of the algorithm and

0:26:16.560 --> 0:26:19.560
<v Speaker 1>how important a part of that would be in terms

0:26:19.600 --> 0:26:23.480
<v Speaker 1>of whatever sale could potentially take place. I mean, the

0:26:23.520 --> 0:26:25.880
<v Speaker 1>algorithm is part, a big part of.

0:26:25.840 --> 0:26:27.200
<v Speaker 4>What makes TikTok tick.

0:26:28.080 --> 0:26:30.200
<v Speaker 1>And not having it as part of the sale, but

0:26:30.400 --> 0:26:34.160
<v Speaker 1>of course lessen the valuation potentially expand the potential list

0:26:34.200 --> 0:26:36.720
<v Speaker 1>of buyers. But it still wouldn't be an easy task

0:26:36.800 --> 0:26:40.080
<v Speaker 1>to find a buyer for TikTok, even if by Dance

0:26:40.320 --> 0:26:42.200
<v Speaker 1>were willing to sell that app.

0:26:43.320 --> 0:26:46.920
<v Speaker 3>Okay, So last night during Meta's Earning School, an analyst

0:26:47.000 --> 0:26:51.320
<v Speaker 3>asked Mark Zuckerberg for basically reaction to the TikTok situation.

0:26:51.480 --> 0:26:54.600
<v Speaker 3>Susan Lee, who's the CFO, jumped in and answered the

0:26:54.680 --> 0:26:57.879
<v Speaker 3>question and said, you know, we're monitoring it, looking at

0:26:57.880 --> 0:26:59.400
<v Speaker 3>it closely, too early.

0:26:59.200 --> 0:27:00.680
<v Speaker 4>To tell what it means our business.

0:27:01.400 --> 0:27:04.320
<v Speaker 3>Do you have a clear winner in any scenario of

0:27:04.359 --> 0:27:07.800
<v Speaker 3>who the main beneficiary of a TikTok divest or a

0:27:07.840 --> 0:27:10.800
<v Speaker 3>TikTok ban might be in the meat social media landscape.

0:27:11.400 --> 0:27:13.879
<v Speaker 1>Yeah, well, Meta has been pretty silent on this issue,

0:27:13.880 --> 0:27:16.840
<v Speaker 1>and for good reason. I mean, there could be ramifications

0:27:16.920 --> 0:27:20.880
<v Speaker 1>and in other countries where Meta does business. Meta would

0:27:20.960 --> 0:27:23.719
<v Speaker 1>be a clear winner if TikTok were to disappear from

0:27:23.760 --> 0:27:26.919
<v Speaker 1>the US, mainly because of Instagram reels. It is one

0:27:27.000 --> 0:27:30.280
<v Speaker 1>of the most natural fits for a displaced TikTok users.

0:27:30.280 --> 0:27:33.240
<v Speaker 1>It's not exactly the same as TikTok, but I imagine

0:27:33.240 --> 0:27:36.359
<v Speaker 1>that a large number of TikTok users would move there

0:27:36.520 --> 0:27:38.800
<v Speaker 1>or to YouTube shorts, and it would also be a

0:27:38.840 --> 0:27:41.480
<v Speaker 1>winner in terms of AD dollars. Now, Meta is a

0:27:41.760 --> 0:27:45.600
<v Speaker 1>massive player in the digital ad landscape. We're expecting it

0:27:45.640 --> 0:27:48.200
<v Speaker 1>to bring in about sixty four billion dollars in US

0:27:48.240 --> 0:27:51.680
<v Speaker 1>AD revenues this year. TikTok's AD business is smaller by

0:27:51.720 --> 0:27:55.199
<v Speaker 1>no means small. It's about ten billion AD dollars to

0:27:55.240 --> 0:27:59.119
<v Speaker 1>ten billion dollars in AD revenues, and so of course

0:27:59.160 --> 0:28:01.160
<v Speaker 1>some of those dollars. A big chunk of those dollars

0:28:01.200 --> 0:28:02.639
<v Speaker 1>would likely go to Meta as well.

0:28:02.840 --> 0:28:06.320
<v Speaker 3>Jasmine will Meta be the world's leading AI company.

0:28:07.320 --> 0:28:09.919
<v Speaker 1>It's a great question, and Meta certainly is in the

0:28:10.000 --> 0:28:12.840
<v Speaker 1>AI race to win it. I do think it could

0:28:12.920 --> 0:28:15.600
<v Speaker 1>be a dark horse in the race to AI if

0:28:15.600 --> 0:28:19.879
<v Speaker 1>you think about the distribution potential alone. It has a

0:28:19.960 --> 0:28:23.760
<v Speaker 1>built in audience through Facebook, through Instagram, through What's Up.

0:28:23.800 --> 0:28:27.080
<v Speaker 1>I was doing some calculations after it released Meta Ai

0:28:27.240 --> 0:28:30.359
<v Speaker 1>into the search bars and Facebook Feed just last week,

0:28:30.400 --> 0:28:34.480
<v Speaker 1>and Meta only needs forty three percent of US Facebook

0:28:34.560 --> 0:28:37.480
<v Speaker 1>users to use Meta Ai on a monthly basis for

0:28:37.600 --> 0:28:40.640
<v Speaker 1>its audience to be as big as chat GPT is

0:28:40.720 --> 0:28:44.240
<v Speaker 1>here in the US, and that isn't unthinkable if you

0:28:44.320 --> 0:28:49.360
<v Speaker 1>consider how prominently and permanently Meta Ai is displayed across

0:28:49.400 --> 0:28:52.160
<v Speaker 1>the apps, and then in terms of monetization, you know

0:28:52.240 --> 0:28:54.480
<v Speaker 1>that is going to be a big factor in determining

0:28:54.520 --> 0:28:58.480
<v Speaker 1>who wins the AI race, and Meta has a competitive

0:28:58.520 --> 0:29:02.400
<v Speaker 1>advantage there. We don't really know how jenai is going

0:29:02.440 --> 0:29:05.200
<v Speaker 1>to be monetized, but like pretty much everything Meta does,

0:29:05.240 --> 0:29:07.120
<v Speaker 1>it's likely to be an ad play and this would

0:29:07.160 --> 0:29:11.320
<v Speaker 1>be connected to its powerful ad ecosystem, and so I

0:29:11.320 --> 0:29:14.160
<v Speaker 1>could see it emerging as an unexpected winner, though of

0:29:14.200 --> 0:29:16.800
<v Speaker 1>course there is a lot of competition and the crowded

0:29:16.800 --> 0:29:17.840
<v Speaker 1>market still to face.

0:29:18.760 --> 0:29:20.960
<v Speaker 3>Meta shares off session lows, but we're still down more

0:29:20.960 --> 0:29:23.880
<v Speaker 3>than twelve percent. Jasmin Emberg of Insider Intelligence is always

0:29:23.960 --> 0:29:25.160
<v Speaker 3>great to have you on the program.

0:29:25.200 --> 0:29:25.560
<v Speaker 4>Thank you.

0:29:26.440 --> 0:29:30.280
<v Speaker 3>I just broke this story with Bloomberg's Kurt Wagner. We

0:29:30.400 --> 0:29:33.400
<v Speaker 3>just published it on the Bloomberg terminal. Elon Musk is

0:29:33.440 --> 0:29:36.920
<v Speaker 3>going to be deposed on Monday as part of the

0:29:36.960 --> 0:29:45.000
<v Speaker 3>first arbitration hearings in the legal process where former Twitter

0:29:45.160 --> 0:29:50.080
<v Speaker 3>employees have basically brought a class action against Elon Musk.

0:29:50.280 --> 0:29:53.040
<v Speaker 3>The former Twitter employees say they were cheated out of

0:29:53.080 --> 0:29:56.560
<v Speaker 3>severance pay when Musk bought the social media company in

0:29:56.600 --> 0:29:59.680
<v Speaker 3>October of twenty twenty two. Law firm Lichten and Listen

0:29:59.800 --> 0:30:03.560
<v Speaker 3>Order and will be representing almost two thousand former Twitter

0:30:03.640 --> 0:30:07.040
<v Speaker 3>staff in individual arbitrations as well as more than a

0:30:07.080 --> 0:30:10.680
<v Speaker 3>dozen class action lawsuits overall in the courts. That story

0:30:11.400 --> 0:30:13.800
<v Speaker 3>just out on Bloomberg. I'm sure it will be online

0:30:13.840 --> 0:30:14.520
<v Speaker 3>soon as well.

0:30:14.840 --> 0:30:15.440
<v Speaker 4>Stay with us.

0:30:15.480 --> 0:30:17.680
<v Speaker 3>We have so much more ahead on the program. This

0:30:17.760 --> 0:30:35.760
<v Speaker 3>is Bloomberg Technology. Okay, it's time for talking tech and

0:30:35.800 --> 0:30:38.520
<v Speaker 3>first up in the news Abudabi's startup G forty two

0:30:39.000 --> 0:30:42.080
<v Speaker 3>is choosing sides. The company, known for a sprawling product

0:30:42.120 --> 0:30:46.680
<v Speaker 3>portfolio in AI, is teaming up with American companies like Amazon, OpenAI,

0:30:46.760 --> 0:30:51.080
<v Speaker 3>and Microsoft and divesting from its Chinese partners. The move

0:30:51.120 --> 0:30:54.719
<v Speaker 3>comes mid worries from US officials of open back doors

0:30:54.720 --> 0:30:58.280
<v Speaker 3>from the Chinese government, with some members considering an intelligence

0:30:58.360 --> 0:31:02.280
<v Speaker 3>briefing to discuss g latest partnership with Microsoft that is

0:31:02.280 --> 0:31:06.560
<v Speaker 3>the Bloomberg Reporting, plus Chinese online tutoring platforms. Xiongbang has

0:31:06.560 --> 0:31:10.240
<v Speaker 3>filed confidentially for a US IPO. That's according to sources.

0:31:10.560 --> 0:31:13.400
<v Speaker 3>The filing adds to signs that Beijing's looking to boost

0:31:13.400 --> 0:31:16.080
<v Speaker 3>funds for its tech industry. The company is said to

0:31:16.120 --> 0:31:18.880
<v Speaker 3>be working with advisors on the potential listing that could

0:31:18.920 --> 0:31:22.800
<v Speaker 3>take place as early as this year. And semiconductor maker

0:31:22.880 --> 0:31:26.680
<v Speaker 3>Skhinix says it expects a full recovery in the memory

0:31:26.760 --> 0:31:30.400
<v Speaker 3>chip market, led by AI related demand. The company posting

0:31:30.440 --> 0:31:35.000
<v Speaker 3>first quarter results that exceeded expectations, forecasting its fastest pace

0:31:35.080 --> 0:31:38.360
<v Speaker 3>of revenue growth since twenty tenesk Heinix says it's entering

0:31:38.680 --> 0:31:42.800
<v Speaker 3>a rebound phase and is preparing to expand capacity for

0:31:42.880 --> 0:31:46.160
<v Speaker 3>its leading edge chips. Okay Let's stick with chips that

0:31:46.200 --> 0:31:50.560
<v Speaker 3>stick with memory. Micron is expected to receive nearly fourteen

0:31:50.680 --> 0:31:54.360
<v Speaker 3>billion dollars in US grants and loans to help the

0:31:54.400 --> 0:31:59.200
<v Speaker 3>company build new American babs or factories. We're also expecting

0:31:59.240 --> 0:32:02.200
<v Speaker 3>Intel results after the bell. There is a lot happening

0:32:02.240 --> 0:32:05.120
<v Speaker 3>in real time with the semiconductor industry joining us to

0:32:05.120 --> 0:32:07.840
<v Speaker 3>discuss it bloombergsy and King, who leads our coverage of

0:32:07.880 --> 0:32:11.680
<v Speaker 3>semis Let's start with Micron. They are the number three

0:32:11.760 --> 0:32:16.000
<v Speaker 3>maker of memory chips, the US leader of memory chips.

0:32:17.280 --> 0:32:22.320
<v Speaker 3>Almost fourteen billion dollars in grants and loans crucially seems

0:32:22.320 --> 0:32:23.600
<v Speaker 3>like a lot of money.

0:32:23.680 --> 0:32:24.760
<v Speaker 4>It's not really, is it.

0:32:25.000 --> 0:32:27.960
<v Speaker 10>Well, I mean for somebody like you or Micron, it

0:32:28.000 --> 0:32:29.720
<v Speaker 10>really isn't. For me, it would be a lot of money.

0:32:29.760 --> 0:32:33.840
<v Speaker 10>I mean six point one is guaranteed, right, But when

0:32:33.840 --> 0:32:36.720
<v Speaker 10>you put that in context of the one hundred and

0:32:36.800 --> 0:32:40.280
<v Speaker 10>twenty five billion that they're looking to put into a

0:32:40.320 --> 0:32:42.520
<v Speaker 10>factory network that's going to be built over the next

0:32:42.560 --> 0:32:45.800
<v Speaker 10>few years, clearly that's not. I mean, it will help

0:32:45.920 --> 0:32:49.080
<v Speaker 10>even the cost base between building here versus building in

0:32:49.160 --> 0:32:51.680
<v Speaker 10>Asia where they have most of their facilities right now.

0:32:51.920 --> 0:32:53.840
<v Speaker 2>But it's not a free v by any stretch.

0:32:54.320 --> 0:32:59.680
<v Speaker 3>The memory market's really interesting historically commoditized boom and bus

0:32:59.760 --> 0:33:03.360
<v Speaker 3>site cause we're talking about principally d ram A nand

0:33:03.440 --> 0:33:08.880
<v Speaker 3>or flash memory. The next generation of memory goes into

0:33:08.960 --> 0:33:13.840
<v Speaker 3>data centers for AI and Micron is competing against those

0:33:13.840 --> 0:33:18.440
<v Speaker 3>big names Samsung, sk Heinix. Why are they wanting to

0:33:18.600 --> 0:33:20.760
<v Speaker 3>enshore this basically in America?

0:33:20.840 --> 0:33:22.120
<v Speaker 4>What's their kind of play here?

0:33:22.360 --> 0:33:24.160
<v Speaker 2>Yeah, I mean there are a number of things.

0:33:24.640 --> 0:33:27.760
<v Speaker 10>We had a conference call with the political leadership behind

0:33:28.000 --> 0:33:30.920
<v Speaker 10>this bid and they're basically like, look, we can't afford

0:33:30.960 --> 0:33:32.800
<v Speaker 10>to have all our eggs in one basket.

0:33:33.120 --> 0:33:34.640
<v Speaker 2>Look what happened during the pandemic.

0:33:34.720 --> 0:33:39.080
<v Speaker 10>We need production of this increasingly important technology in the

0:33:39.200 --> 0:33:43.200
<v Speaker 10>United States. And as you just indicated, it isn't just

0:33:43.440 --> 0:33:46.680
<v Speaker 10>a commodity or won't be just the commodity that it

0:33:46.760 --> 0:33:49.200
<v Speaker 10>has been in the past. So we need this key

0:33:49.240 --> 0:33:51.760
<v Speaker 10>technology in this country. Is the argument that is being made.

0:33:51.920 --> 0:33:55.080
<v Speaker 3>We're talking about HBM three or high bandwidth memory, and

0:33:55.080 --> 0:33:56.960
<v Speaker 3>we've done a lot on the program. Our audience will

0:33:56.960 --> 0:33:58.840
<v Speaker 3>know and we will continue I'm sure to talk about

0:33:58.840 --> 0:34:01.640
<v Speaker 3>it in the moment. Intel. It is the next kind

0:34:01.640 --> 0:34:04.080
<v Speaker 3>of big chip name to report after the bell. What

0:34:04.120 --> 0:34:04.840
<v Speaker 3>are we expecting?

0:34:05.280 --> 0:34:07.960
<v Speaker 10>Yeah, expectations are very low. I mean this is a

0:34:08.000 --> 0:34:11.960
<v Speaker 10>Stargglus down thirty percent this year, way below what you know,

0:34:12.239 --> 0:34:16.560
<v Speaker 10>the socks index, the key semiconductrient done. We already know

0:34:16.640 --> 0:34:19.520
<v Speaker 10>that their operations are struggling. We know that their manufacturing

0:34:19.600 --> 0:34:22.120
<v Speaker 10>is poor. The key question that we're going to see

0:34:22.640 --> 0:34:25.760
<v Speaker 10>answer today is our PC is getting a little bit better.

0:34:26.360 --> 0:34:31.160
<v Speaker 10>Our companies and hyperscal as starting to spend on server chips.

0:34:31.160 --> 0:34:33.239
<v Speaker 2>Again, that's really what people want the answer to.

0:34:34.280 --> 0:34:37.480
<v Speaker 3>It's the same story every quarter, and we wonder if

0:34:37.480 --> 0:34:39.919
<v Speaker 3>the story changes when it comes to earnings. We're looking

0:34:39.920 --> 0:34:42.359
<v Speaker 3>forward to that one Ian King the Bloomberg Yes, thank you.

0:34:51.239 --> 0:34:54.120
<v Speaker 3>Let's talk again about Meta. The stock is back down

0:34:54.200 --> 0:34:57.600
<v Speaker 3>thirteen percent. It's off session lows. But there's a lot

0:34:57.600 --> 0:35:01.680
<v Speaker 3>of anxiety in technology more broad based on what we

0:35:01.920 --> 0:35:05.919
<v Speaker 3>had in metas earnings and basically the commentary on the

0:35:06.239 --> 0:35:10.560
<v Speaker 3>AI infrastructure spend that's going to happen. Jeffreys, Brent Till

0:35:10.760 --> 0:35:14.120
<v Speaker 3>joins us now on Meta specifically, because I think we

0:35:14.120 --> 0:35:17.840
<v Speaker 3>need to have a sort of bigger picture conversation. You

0:35:17.880 --> 0:35:20.200
<v Speaker 3>cut your price target to five hundred and forty dollars

0:35:20.239 --> 0:35:23.880
<v Speaker 3>I think from five hundred and eighty five. But are

0:35:23.920 --> 0:35:26.479
<v Speaker 3>you actually anxious or worried about what you heard last

0:35:26.560 --> 0:35:27.840
<v Speaker 3>night from from Zuckerberg?

0:35:28.280 --> 0:35:28.799
<v Speaker 2>Not at all.

0:35:28.920 --> 0:35:31.239
<v Speaker 11>I think this is a gift for investors. You know what,

0:35:31.440 --> 0:35:34.160
<v Speaker 11>I think we've learned in AI you need three things.

0:35:34.200 --> 0:35:36.880
<v Speaker 11>You need users, you need data, and you need money.

0:35:37.480 --> 0:35:39.520
<v Speaker 11>And the list of vendors that are going to survive

0:35:39.719 --> 0:35:41.920
<v Speaker 11>is very small, and Meta is going to be one

0:35:41.960 --> 0:35:45.640
<v Speaker 11>of them. And so for long term shareholders, this is

0:35:45.680 --> 0:35:48.680
<v Speaker 11>a great opportunity. They're going to do twenty five dollars

0:35:48.760 --> 0:35:51.520
<v Speaker 11>of earnings power. You can put a low twenty multiple,

0:35:52.280 --> 0:35:53.879
<v Speaker 11>you know, to mid twenties, and you're going to get

0:35:53.880 --> 0:35:57.800
<v Speaker 11>anywhere between you know, five hundred plus to six hundred

0:35:57.800 --> 0:36:00.920
<v Speaker 11>plus in the stock. And so when you look at

0:36:01.000 --> 0:36:04.680
<v Speaker 11>just back in the envelope on earnings, it has huge

0:36:04.719 --> 0:36:08.280
<v Speaker 11>support with the stock training at sixteen seventeen times right now.

0:36:09.040 --> 0:36:11.880
<v Speaker 11>I think in terms of the worry, I don't worry

0:36:11.920 --> 0:36:14.080
<v Speaker 11>because I think they're doing the right thing.

0:36:14.280 --> 0:36:15.600
<v Speaker 4>These investments are.

0:36:15.440 --> 0:36:18.359
<v Speaker 11>Not going into the metaverse, they're going into AI. They're

0:36:18.360 --> 0:36:20.800
<v Speaker 11>going back into the core platform where there are billions

0:36:20.800 --> 0:36:23.680
<v Speaker 11>of users that are trying to have better engagement. It

0:36:23.719 --> 0:36:27.080
<v Speaker 11>helps advertisers create campaigns faster. It's going to send more

0:36:27.080 --> 0:36:29.120
<v Speaker 11>ad dollars into the platform because it's going to be

0:36:29.120 --> 0:36:32.280
<v Speaker 11>so easy to create a pain and find a new user.

0:36:32.360 --> 0:36:35.120
<v Speaker 11>For your travel company, for your apparel company, for your

0:36:35.160 --> 0:36:38.560
<v Speaker 11>beauty company. They'll be able to find more users in

0:36:38.600 --> 0:36:41.279
<v Speaker 11>a more relevant way. So we think it pays off.

0:36:41.320 --> 0:36:43.080
<v Speaker 11>So I'm not worried.

0:36:43.360 --> 0:36:47.600
<v Speaker 3>So let's push ahead to Alphabet and Microsoft. And if

0:36:47.600 --> 0:36:51.440
<v Speaker 3>I draw a commonality and there is an anxiet anxiety

0:36:51.520 --> 0:36:53.360
<v Speaker 3>of what happened with Meta, I guess it's the idea

0:36:53.360 --> 0:36:55.680
<v Speaker 3>that for all the billions of dollars in data centers

0:36:55.719 --> 0:36:58.600
<v Speaker 3>around the world that are being built, it doesn't yet

0:36:58.680 --> 0:37:02.840
<v Speaker 3>translate tangibly to revenue growth. That is selling an AI

0:37:02.960 --> 0:37:06.520
<v Speaker 3>product directly. Is that a thesis you share.

0:37:09.400 --> 0:37:11.640
<v Speaker 11>We are in the age of AI hype, we are

0:37:11.640 --> 0:37:15.320
<v Speaker 11>not in the revenue cycle yet. At our private Internet

0:37:15.400 --> 0:37:17.560
<v Speaker 11>conference last week we had many of the top AI

0:37:17.680 --> 0:37:20.560
<v Speaker 11>leaders and everyone said that AI is in infrastructure, right,

0:37:20.600 --> 0:37:22.640
<v Speaker 11>It's in in VideA, as you were talking about before

0:37:22.640 --> 0:37:25.520
<v Speaker 11>the break, and you're dead right about this. It's in

0:37:25.520 --> 0:37:28.279
<v Speaker 11>in Vidia and d Dell. You look at all the

0:37:28.400 --> 0:37:32.640
<v Speaker 11>enabling infrastructure. It's there, it hasn't gotten to the application layer.

0:37:33.120 --> 0:37:35.440
<v Speaker 11>And for all of our companies in software, it's a

0:37:35.480 --> 0:37:38.520
<v Speaker 11>single digital percent of revenue. Ninety five percent of these

0:37:38.560 --> 0:37:41.760
<v Speaker 11>AI deployments are proofd for concept, less than five percent

0:37:41.800 --> 0:37:44.680
<v Speaker 11>of them are live. I mean, how do you monetize

0:37:44.680 --> 0:37:47.239
<v Speaker 11>when you're improved of concept? And so I think what

0:37:47.280 --> 0:37:50.440
<v Speaker 11>we're seeing is this building interests. IBM talked about you know,

0:37:50.480 --> 0:37:53.720
<v Speaker 11>a billion dollar backlog number last night on their call

0:37:54.000 --> 0:37:56.040
<v Speaker 11>that was you know, a few hundred million just a

0:37:56.040 --> 0:37:58.680
<v Speaker 11>few quarters ago. Right, the interest is building, but in

0:37:58.760 --> 0:38:02.520
<v Speaker 11>terms of the overall impact for the software ecosystem, it's

0:38:02.520 --> 0:38:06.040
<v Speaker 11>still not there yet and it will be. Microsoft remains

0:38:06.080 --> 0:38:08.480
<v Speaker 11>in the best position because they are the furthest ahead,

0:38:08.520 --> 0:38:10.000
<v Speaker 11>They have the most vision, and they have the best

0:38:10.000 --> 0:38:13.600
<v Speaker 11>management team of anyone in software with no questions asked.

0:38:13.920 --> 0:38:16.160
<v Speaker 11>So they're going to be in a great spot. But

0:38:16.200 --> 0:38:19.320
<v Speaker 11>it's even for Microsoft, it's going to take time. And

0:38:19.719 --> 0:38:23.960
<v Speaker 11>again we've said this, the AI revenue reality is kicking

0:38:24.000 --> 0:38:26.839
<v Speaker 11>in later this year into twenty five, and that's why

0:38:26.880 --> 0:38:30.239
<v Speaker 11>investors want to be overweight SEMIS or the SMH is

0:38:30.239 --> 0:38:33.160
<v Speaker 11>massively outperforming that's where our clients are and that's why

0:38:33.239 --> 0:38:35.480
<v Speaker 11>these stocks are all green today and all my stocks

0:38:35.520 --> 0:38:35.879
<v Speaker 11>are red.

0:38:37.239 --> 0:38:40.080
<v Speaker 3>Hey, Brent, I'm not asking you to do my job

0:38:40.160 --> 0:38:42.320
<v Speaker 3>for me, but I'm going to speak to Ruth Parat

0:38:43.120 --> 0:38:45.480
<v Speaker 3>after the numbers hit this afternoon. What do you think

0:38:45.520 --> 0:38:48.400
<v Speaker 3>I should ask her?

0:38:49.880 --> 0:38:53.279
<v Speaker 11>The number one question for Ruth is there's two. One

0:38:53.600 --> 0:38:55.439
<v Speaker 11>is when is the new CFO coming on board?

0:38:55.440 --> 0:38:58.800
<v Speaker 4>It's been nine months and you haven't effectively.

0:38:58.320 --> 0:39:02.719
<v Speaker 11>Updated this do if you did simple things with investors,

0:39:02.760 --> 0:39:05.240
<v Speaker 11>your stock would go up fifteen percent or your multiple

0:39:05.239 --> 0:39:08.800
<v Speaker 11>go up fifteen percent. Google is the least shareholder friendly

0:39:08.840 --> 0:39:12.240
<v Speaker 11>company of anyone. Attack and there's just simple blocking attacking

0:39:12.360 --> 0:39:15.160
<v Speaker 11>they can do to get the stock. Hire, have an

0:39:15.160 --> 0:39:17.480
<v Speaker 11>analyst day, bring people in, talk about what they're doing

0:39:17.480 --> 0:39:20.320
<v Speaker 11>in AI, put a financial framework. They're the only company

0:39:20.480 --> 0:39:25.319
<v Speaker 11>intact that doesn't guide Meta, Amazon, Microsoft, go through the list,

0:39:25.360 --> 0:39:26.840
<v Speaker 11>they all give some color.

0:39:27.400 --> 0:39:28.200
<v Speaker 4>There's no color.

0:39:28.360 --> 0:39:31.919
<v Speaker 11>So with no color and no inside and no handholding,

0:39:32.480 --> 0:39:34.520
<v Speaker 11>arc lines are like I want to I want to

0:39:34.560 --> 0:39:35.759
<v Speaker 11>be able to do the work, and I can.

0:39:35.960 --> 0:39:37.320
<v Speaker 4>I can do the work on these other.

0:39:37.120 --> 0:39:40.120
<v Speaker 11>Companies, and right now, I think investors are frustrated. They're

0:39:40.120 --> 0:39:43.520
<v Speaker 11>frustrated with that, So one you know CFO and two

0:39:43.560 --> 0:39:46.640
<v Speaker 11>would be you know. Do you realize how easy it

0:39:46.680 --> 0:39:48.360
<v Speaker 11>is to get your sock hire if you follow the

0:39:48.400 --> 0:39:49.640
<v Speaker 11>simple playbook.

0:39:50.560 --> 0:39:54.320
<v Speaker 4>Brent Thale, Jeffries. I appreciate the help. Thank you. Wow,

0:39:54.840 --> 0:39:56.440
<v Speaker 4>I was not a nonswer. I was expecting I have

0:39:56.480 --> 0:39:56.960
<v Speaker 4>to be honest.

0:39:57.239 --> 0:40:00.279
<v Speaker 3>That does it for a pretty packed edition of Bloomberg Technollogy.

0:40:01.000 --> 0:40:04.120
<v Speaker 3>It was a big morning in market, but technology stories

0:40:04.160 --> 0:40:06.440
<v Speaker 3>were at the heart of it. So recap Listen to

0:40:06.480 --> 0:40:09.880
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0:40:09.920 --> 0:40:12.000
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0:40:12.040 --> 0:40:16.480
<v Speaker 3>the Bloomberg platforms again. Buckle up Earnings is the story

0:40:16.520 --> 0:40:18.239
<v Speaker 3>to come from San Francisco.

0:40:18.320 --> 0:40:19.520
<v Speaker 4>This is Bloomberg Technology