WEBVTT - Instant Reaction: Microsoft, AMD Earnings

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. This is Bloomberg BusinessWeek

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<v Speaker 1>inside from the reporters and editors who bring you America's

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<v Speaker 1>most trusted business magazine, plus global business, finance and tech

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<v Speaker 1>news as it happens. Bloomberg Business Week with Carol Messer

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<v Speaker 1>and Tim Steneveek on Bloomberg Radio.

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<v Speaker 2>Okay, the call has not started yet, Carol. Investors are

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<v Speaker 2>still taking note of the numbers that we got from Microsoft.

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<v Speaker 2>Shares down six point eight percent in the after hours.

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<v Speaker 2>The company reported Microsoft Cloud revenue for the fourth quarter

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<v Speaker 2>that met the average analyst estimate capex though coming into

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<v Speaker 2>at thirteen point eighty seven billion, that was higher than

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<v Speaker 2>analysts wanted to see at thirteen point twenty seven billion dollars.

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<v Speaker 3>Yeah, kind of interesting, So let's get to it. Dan

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<v Speaker 3>Morgan is with a senior portfolio manager at Sonvs Trust

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<v Speaker 3>Company about twenty billion in acids under management, joining us

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<v Speaker 3>once again from Atlanta. Hey, Dan, so good to have

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<v Speaker 3>you back with us. Having said that, yeah, Hey, it

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<v Speaker 3>feels like all of the numbers are kind of right

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<v Speaker 3>where the street was expecting. We were talking ahead of

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<v Speaker 3>it that we needed to see some outperformance in order

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<v Speaker 3>for investors to be impressed. Are you impressed with these

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<v Speaker 3>results from Microsoft?

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<v Speaker 4>Well, you're right, Carol. You know, the two numbers that

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<v Speaker 4>really stay out stand out to me. You've already mentioned

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<v Speaker 4>these as terms of ASER growth only up twenty nine percent.

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<v Speaker 4>They had guided on the previous third quarter that they

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<v Speaker 4>would hit growth between thirty and thirty two. The street

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<v Speaker 4>was actually looking for something north of that. And then Tim,

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<v Speaker 4>you mentioned that Campex number coming in a little bit

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<v Speaker 4>higher than expected. Of course, there's some rollover going on

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<v Speaker 4>right now from the Alphabet report that we came out earlier,

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<v Speaker 4>when it really raised concerns about, you know, how much

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<v Speaker 4>gain are you getting in regards to your AI initiatives

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<v Speaker 4>versus the amount of CAPEX that you're spending. And I

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<v Speaker 4>was kind of hoping, Carol and Tim that this Microsoft

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<v Speaker 4>report might kind of dampen those worries and just kind

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<v Speaker 4>of blow numbers out, you know, ASER up thirty four

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<v Speaker 4>percent and so forth, But unfortunately it was a little

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<v Speaker 4>bit shy. So I think that conversation is going to

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<v Speaker 4>have to come back in in these concerns that we

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<v Speaker 4>saw after the Alphabet report are going to reignite again.

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<v Speaker 2>Yeah, Shares down six point six percent. Right now, help

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<v Speaker 2>us help us understand exactly, Dan, where we should be

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<v Speaker 2>seeing the results of Microsoft's investments in AI and in

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<v Speaker 2>open AI. Where should we be looking in this earnings

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<v Speaker 2>report to see benefits from AI.

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<v Speaker 4>Well, foremost is in the data center, right, Tim and Carroll,

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<v Speaker 4>That's been the area where we've seen the biggest amount

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<v Speaker 4>of spending. That's going to be out of their ASER group,

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<v Speaker 4>which is encompassed in the umbrella of Commercial Cloud and

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<v Speaker 4>Intelligent Cloud. Those are the two segments that report. Of course,

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<v Speaker 4>we don't get the hard numbers. We just get a

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<v Speaker 4>growth rate from Microsoft. That's what they disclose to us.

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<v Speaker 4>But if you look at intelligent Cloud and Commercial Cloud,

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<v Speaker 4>they both looks like they both kind of keen in line.

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<v Speaker 4>I noticed the cloud segment was a little bit shy

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<v Speaker 4>three point eight to zero versus eight four, which I

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<v Speaker 4>think was the estimate. The other area that we'd like

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<v Speaker 4>to get a little more clarity on, Tim M and

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<v Speaker 4>Carroll is what's going on with copilot. That's kind of

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<v Speaker 4>buried in a lot of different areas, but it's hard

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<v Speaker 4>to distinguish it. But we're always hoping that Microsoft, maybe

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<v Speaker 4>on the conference call, will come out and basically release

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<v Speaker 4>how many seats they've been able to license on that product,

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<v Speaker 4>because that's another one of their core AI products. We

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<v Speaker 4>all know that they ink that deal back a year

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<v Speaker 4>and a half ago with chat GPT, But that's kind

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<v Speaker 4>of hard to really figure where that comes into the

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<v Speaker 4>earnings reports. But you know, the key areas is ASER growth,

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<v Speaker 4>commercial cloud, intelligent cloud, and then any additional information that

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<v Speaker 4>we can get on copilot in terms of additional disclosure.

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<v Speaker 4>So again, guys, Tim and Carroll, it's very difficult, right

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<v Speaker 4>to really distinguish, you know, we look at these segment

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<v Speaker 4>data points that came in on this, you know, headlines

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<v Speaker 4>coming through. It is very hard to distinguish exactly where

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<v Speaker 4>all this capex is impacting in regards to AI initiatives.

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<v Speaker 3>So what do you Okay, So wait, you just threw

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<v Speaker 3>a lot at us. So what is the question to

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<v Speaker 3>Microsoft in the aftermarket or on the analyst call Dan

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<v Speaker 3>to kind of get more clarity to try and figure

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<v Speaker 3>out if the AI spend is maybe not living up

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<v Speaker 3>to expectations or it is slowing down.

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<v Speaker 4>Right, So if we look back, for example, Carol and

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<v Speaker 4>Tim and we look at the last quarter they came

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<v Speaker 4>out and specifically said that ASER was positively benefited about

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<v Speaker 4>seven hundred basis points compared to six center basis points

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<v Speaker 4>in the second quarter in terms of increased growth coming

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<v Speaker 4>out of the data centered unit, which is huge for them.

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<v Speaker 4>That's huge recipe for their overall growth. So obviously, Carroll Tim,

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<v Speaker 4>that's a number that everyone's going to be looking at

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<v Speaker 4>when they publicly disclose of the twenty nine percent growth

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<v Speaker 4>they did in ASER. What percentage of that or what

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<v Speaker 4>boost did you get from AI and the past they've

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<v Speaker 4>disclosed that, So that's a really key number that everyone's

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<v Speaker 4>going to be queuing in on the conference call.

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<v Speaker 2>What's the question that you have for Satinadella?

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<v Speaker 4>Well, I think you know, again, you know, just trying

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<v Speaker 4>to weigh out CAPEX expense. You know, where is it going?

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<v Speaker 4>I mean, let's be let's be honest, Carroll Tim. I mean,

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<v Speaker 4>you're looking at a company it's going to probably spend

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<v Speaker 4>about fifty billion dollars in campex, So everybody wants to

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<v Speaker 4>know what kind of ROI are you getting from that?

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<v Speaker 4>And at this point we really haven't seen a lot

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<v Speaker 4>of ROI from anybody, So again it's just them laying

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<v Speaker 4>out that roadmap in and again going into what they're

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<v Speaker 4>doing and their hopes in terms of how this will

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<v Speaker 4>come to fruition and pay off for them. Yes, I

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<v Speaker 4>think that's what everyone's going to be really focusing on

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<v Speaker 4>Tim and Carroll after that Alphabet report.

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<v Speaker 2>I mean, how, how does this response from investors explain

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<v Speaker 2>how investors are pricing companies right now? Because Microsoft reported

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<v Speaker 2>a slight four tenths of one percent beat on EPs

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<v Speaker 2>and then a small one tenth of one percent miss

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<v Speaker 2>on cloud revenue, and Microsoft shares are just getting punished

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<v Speaker 2>after hours.

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<v Speaker 4>Yeah, you know, Tim, the stock really traded up anticipation

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<v Speaker 4>of the reporter. Is actually trading at forty four times earnings,

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<v Speaker 4>about thirty eight thirty nine times Physical year twenty twenty

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<v Speaker 4>four estimates the average pe on Microsoft over the last

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<v Speaker 4>five years is about thirty two times earning. So these stocks,

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<v Speaker 4>including Alphabet, Meta is going to report here in the

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<v Speaker 4>next day or two. We've got Apple and Amazon all

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<v Speaker 4>are trading at the very high bandwidth of their multiples

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<v Speaker 4>because of excitement surrounding AI. So it doesn't surprise me

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<v Speaker 4>Tim and Carroll that unless this report is perfect, it's

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<v Speaker 4>going to sell off. And there was enough in here.

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<v Speaker 4>As you mentioned Tim, beyond just the top line and

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<v Speaker 4>bottom line beat, you mentioned the commercial cloud unit. Kind

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<v Speaker 4>of a miss on aser that's going to lead to

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<v Speaker 4>a selloff on the stock.

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<v Speaker 3>Hey, I do want to mention too, AMD just crossing

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<v Speaker 3>the Bloomberg terminal. Second quarter adjusted EPs sixty nine cents

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<v Speaker 3>is share that's a penny better than what the street

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<v Speaker 3>was expecting. Second quarter revenue five point eight billion. The

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<v Speaker 3>estimate on the street is five point seventy three billion.

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<v Speaker 3>Second quarter capex one hundred and fifty four million versus

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<v Speaker 3>an estimate of one hundred and twenty seven point one million,

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<v Speaker 3>So that is coming in higher than forecast second quarter

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<v Speaker 3>just an operating margin twenty two percent, that's better than

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<v Speaker 3>the street estimate of twenty one point eight percent and

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<v Speaker 3>giving some guidance in terms of the outlook. Third quarter

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<v Speaker 3>revenue six point four to seven billion dollars, and that

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<v Speaker 3>compares with an estimate TIM of six point sixty two billion.

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<v Speaker 2>Yeah, we're seeing shares move higher sharply now in the

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<v Speaker 2>after hours as traders look at what's going on. Up

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<v Speaker 2>four point six percent carroll for AMD right now in

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<v Speaker 2>the green ceas third quarter adjusted gross margin about fifty

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<v Speaker 2>three point five percent. That came in below estimates of

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<v Speaker 2>fifty three point eight percent. Dan, I know you're just

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<v Speaker 2>getting these numbers as soon as we get them, but

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<v Speaker 2>do you have any thoughts on what we're hearing from AMD?

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<v Speaker 4>You know, Tim and Carroll, the big number that we're

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<v Speaker 4>waiting for AMD was their data center segment. The expectations

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<v Speaker 4>for that group was to grow over one hundred percent.

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<v Speaker 4>Everybody was worried Tim and Carroll coming in his report that

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<v Speaker 4>we might get some sort of color from Microsoft that

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<v Speaker 4>they might have been backing off in terms of purchasing

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<v Speaker 4>AMD's AI chips, which are the MI I three hundred

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<v Speaker 4>x I three hundred A. That's what the big concerns

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<v Speaker 4>were coming into this report. But at least based on

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<v Speaker 4>what you've told me so far, it appears that there's

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<v Speaker 4>been no aberration in terms of demand for those products. Yeah,

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<v Speaker 4>they said extremely welcome record.

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<v Speaker 2>They beat so record. Data center up one hundred and

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<v Speaker 2>fifteen percent year over year, So that number coming in high.

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<v Speaker 3>Two point eight three billion versus one point three two

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<v Speaker 3>billion year over year. So all right, step to watch,

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<v Speaker 3>Dan Morgan, thank you so much. AMD A different story.

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<v Speaker 2>Yeah, I AMD's up by two point six percent right now.

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<v Speaker 2>The company reported revenue of six point four to seven

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<v Speaker 2>billion dollars versus estimates of six point six two billion dollars.

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<v Speaker 2>Adjusted earnings per share came in just above estimates at

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<v Speaker 2>sixty nine cents, and then data center revenue coming in

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<v Speaker 2>at two point eight three billion versus estimates of two

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<v Speaker 2>point seven five billion dollars. With us now to break

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<v Speaker 2>down these numbers and more, we got Ed Ludlow, co

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<v Speaker 2>host of Bloomberg Technology on Bloomberg TV. He joins us

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<v Speaker 2>here in the Bloomberg Interactive Broker studio. We were just

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<v Speaker 2>talking to Dan Morgan over at Sonovas he said data

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<v Speaker 2>center revenue, they wanted to see growth over one hundred percent.

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<v Speaker 2>It came in at one hundred and fifteen percent. Is

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<v Speaker 2>that what has investors so excited?

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<v Speaker 5>Yes, And to put it in Layman's terms, it more

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<v Speaker 5>than doubled year on year, and it shows sort of

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<v Speaker 5>the evolution of AMD from a standing start to taking

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<v Speaker 5>a tiny little bite out of the market share that

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<v Speaker 5>Nvidia has for AI accelerators. We actually didn't learn that

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<v Speaker 5>much in that release.

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<v Speaker 1>You know.

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<v Speaker 5>The expectation was that data center revenue would grow more

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<v Speaker 5>than one hundred percent. You're in year. You're going to

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<v Speaker 5>have to wait for the call because the number we

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<v Speaker 5>want is the full year forecast for their AI accelerator family,

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<v Speaker 5>the mi I three hundred and with that will know

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<v Speaker 5>if things are going better than expected in their efforts

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<v Speaker 5>against in video or just as we thought they were.

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<v Speaker 3>Any questions that you've got besides that for AMD.

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<v Speaker 5>Yeah, Look, the market for high performance GPUs or AI

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<v Speaker 5>accelerators that we train large language models on looks as

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<v Speaker 5>follows in. Nvidia will probably do one hundred billion dollars

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<v Speaker 5>of sales in that market this year to AMD four billion,

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<v Speaker 5>maybe a little more. We'll find out Intel five hundred million.

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<v Speaker 5>So the real question for me is what's different between

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<v Speaker 5>the three of them. You know, they all talk about

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<v Speaker 5>how they benchmark against one another in terms of energy

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<v Speaker 5>performance and their ability to process data. But the real

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<v Speaker 5>question for investors is, like, if we're going to believe

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<v Speaker 5>that you can grow in this market against Nvidia, in

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<v Speaker 5>which cases are you? Why would a big enterprise company

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<v Speaker 5>or a META, for example, choose your A accelerator over another.

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<v Speaker 5>Meta's very very solidly behind in video, right, it's buying

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<v Speaker 5>hundreds of thousands of GPUs from them, And I think

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<v Speaker 5>that's really interesting that you know, what do all these

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<v Speaker 5>things get used for? Because right now it seems like

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<v Speaker 5>in video seems the de facto choice for large language

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<v Speaker 5>model training.

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<v Speaker 2>What do all these things get used for? Because the

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<v Speaker 2>reason I'm asking this question is because last week we

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<v Speaker 2>saw alphabet cap x come in above estimates. We saw

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<v Speaker 2>it come above estimates today with Microsoft. A lot of

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<v Speaker 2>that has to do with the buildout of infrastructure around AI.

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<v Speaker 2>What is this getting used for and when our investor

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<v Speaker 2>is going to start to see it show up in

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<v Speaker 2>the bottom line.

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<v Speaker 5>This is a really worthwhile conversation to have, even in

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<v Speaker 5>the context of earnings where you kind of focus on

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<v Speaker 5>the numbers. When we talk about chips used for AI,

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<v Speaker 5>we're not talking about sort of a bagg of chips

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<v Speaker 5>you throw over your shoulder and look, I've got some.

0:12:18.679 --> 0:12:21.720
<v Speaker 5>The reality is they go into many, many racks of servers,

0:12:21.760 --> 0:12:24.760
<v Speaker 5>and those servers get lined up into massive data centers.

0:12:25.280 --> 0:12:28.160
<v Speaker 5>And while we don't have a sense yet of how

0:12:28.240 --> 0:12:31.080
<v Speaker 5>much money has been made through services or software and AI,

0:12:31.200 --> 0:12:33.520
<v Speaker 5>not really. I mean, look at Microsoft's earnings as an example.

0:12:33.520 --> 0:12:36.280
<v Speaker 5>We'll get to it. I think people need to understand

0:12:36.320 --> 0:12:39.480
<v Speaker 5>that the workloads have increased massively. The training of the

0:12:39.520 --> 0:12:43.960
<v Speaker 5>models requires an enormous amount of compute, and so Microsoft Aws, Amazon,

0:12:44.000 --> 0:12:46.880
<v Speaker 5>Google Cloud Platform have no choice but to buy these

0:12:47.000 --> 0:12:49.679
<v Speaker 5>chips because they work for that purpose and build more

0:12:49.760 --> 0:12:53.560
<v Speaker 5>data centers and the nervousnesses will hold on. Whereas all

0:12:53.600 --> 0:12:55.720
<v Speaker 5>the money going on the other side of the big moneyment.

0:12:55.400 --> 0:12:57.240
<v Speaker 3>Sages, it's kind of like, build it and they will come, Well,

0:12:57.240 --> 0:12:59.520
<v Speaker 3>will you know, are they coming? Will they continue to

0:12:59.520 --> 0:13:02.040
<v Speaker 3>come and will payoff? Be there? So I mean, I

0:13:02.040 --> 0:13:04.640
<v Speaker 3>feel like that's still the big million, tillion dollar crush.

0:13:04.800 --> 0:13:07.760
<v Speaker 5>So let's jump into Microsoft, right. They very narrowly missed

0:13:07.840 --> 0:13:11.760
<v Speaker 5>on their cloud services revenue or growth in cloud services revenue.

0:13:11.840 --> 0:13:14.920
<v Speaker 5>I'm doing the math, but basically they had fifteen percent

0:13:14.960 --> 0:13:17.680
<v Speaker 5>overall top line growth from just below thirty percent growth

0:13:17.720 --> 0:13:20.080
<v Speaker 5>in the Azure unit. And the headline on the Bloomberg

0:13:20.160 --> 0:13:23.760
<v Speaker 5>terminal eight points of contribution to as your revenue growth

0:13:23.760 --> 0:13:26.439
<v Speaker 5>came from artificial intelligence. We readheaded it, so it must

0:13:26.480 --> 0:13:27.480
<v Speaker 5>be important.

0:13:27.080 --> 0:13:30.640
<v Speaker 3>Eight hundred basis point. Dan Morgan said, what was seven

0:13:30.679 --> 0:13:34.880
<v Speaker 3>hundred bass points as your increased growth for the data

0:13:34.880 --> 0:13:36.439
<v Speaker 3>center group? So he was looking for, I think a

0:13:36.520 --> 0:13:40.280
<v Speaker 3>number that was comparable or above that. So that seems impressive.

0:13:39.840 --> 0:13:43.040
<v Speaker 5>And sequentially it's an improvement from the prior quarter, but

0:13:43.160 --> 0:13:45.000
<v Speaker 5>it doesn't really tell us anything. And this is what

0:13:45.040 --> 0:13:47.320
<v Speaker 5>I mean by the money machine. So capex is the

0:13:47.320 --> 0:13:50.200
<v Speaker 5>money going in. It's the number of dollars Microsoft spends, right,

0:13:50.320 --> 0:13:54.079
<v Speaker 5>But what we don't have a good clear Layman's explanation

0:13:54.280 --> 0:13:56.120
<v Speaker 5>is how many dollars are coming out the other side.

0:13:56.200 --> 0:13:59.040
<v Speaker 5>You'd hope it was several more dollars for every dollar

0:13:59.080 --> 0:14:03.000
<v Speaker 5>you put in. Cloud growth is important, but AI contribution

0:14:03.120 --> 0:14:05.960
<v Speaker 5>can mean many things. It can mean running workloads, or

0:14:06.000 --> 0:14:09.080
<v Speaker 5>storing data or doing all kinds of things. It's not

0:14:09.200 --> 0:14:11.360
<v Speaker 5>evidence of sales of a generative AI tool.

0:14:11.720 --> 0:14:19.200
<v Speaker 2>Can it be better placed advertisements against Instagram reels ed too?

0:14:19.720 --> 0:14:21.120
<v Speaker 5>So this is why I think a lot of people

0:14:21.160 --> 0:14:23.960
<v Speaker 5>are very interested in meta because we've talked a lot

0:14:24.000 --> 0:14:26.040
<v Speaker 5>about how in the first half of this year the

0:14:26.080 --> 0:14:28.160
<v Speaker 5>majority of the game on the SMP five hundred is

0:14:28.440 --> 0:14:31.360
<v Speaker 5>attributable to those mag seven games. The idea that we

0:14:31.680 --> 0:14:34.720
<v Speaker 5>believe the infrastructure will pay off in top line growth,

0:14:34.880 --> 0:14:37.160
<v Speaker 5>in the EPs growth, even if they have stretched valuations.

0:14:37.360 --> 0:14:39.240
<v Speaker 5>A lot of investors I speak to see a point

0:14:39.280 --> 0:14:42.640
<v Speaker 5>of difference in meta. They're making all the same infrastructure investments.

0:14:42.800 --> 0:14:45.520
<v Speaker 5>They're a developer of large language models with open source,

0:14:45.840 --> 0:14:49.440
<v Speaker 5>but they have social platforms where you can believe more

0:14:49.520 --> 0:14:52.840
<v Speaker 5>near term that you drive growth in your existing advertising

0:14:52.880 --> 0:14:56.720
<v Speaker 5>based business because you're using smart artificial intelligence technology. There

0:14:56.720 --> 0:14:59.280
<v Speaker 5>are many investors I speak to that believe that Microsoft

0:14:59.280 --> 0:15:01.920
<v Speaker 5>doesn't have that. I mean, with respect, you guys probably

0:15:01.920 --> 0:15:04.040
<v Speaker 5>have a longer standing relationship with Microsoft than I do.

0:15:04.160 --> 0:15:07.440
<v Speaker 5>You know, in the early nineties when I started using computer,

0:15:07.560 --> 0:15:10.440
<v Speaker 5>that's what was there. They've always been good at selling software.

0:15:11.040 --> 0:15:13.040
<v Speaker 5>They still do that. It's just it's not clear to

0:15:13.120 --> 0:15:15.960
<v Speaker 5>us which the AI part is. What they've really done

0:15:16.000 --> 0:15:18.280
<v Speaker 5>is just make their existing software offering is a little

0:15:18.320 --> 0:15:18.720
<v Speaker 5>bit better.

0:15:18.760 --> 0:15:21.720
<v Speaker 2>I've heard good things about copilotes in the sense of

0:15:21.760 --> 0:15:23.720
<v Speaker 2>on Microsoft teams. I mean, I think Carroly, you did

0:15:23.720 --> 0:15:25.520
<v Speaker 2>this during one of your prep calls for some of

0:15:25.520 --> 0:15:27.640
<v Speaker 2>the conferences that you've gone to, you know, instead of

0:15:27.640 --> 0:15:30.400
<v Speaker 2>taking notes during that, yeah, you know, copilot will actually

0:15:30.480 --> 0:15:33.080
<v Speaker 2>spit out some pretty solid notes. Take the notes with

0:15:33.400 --> 0:15:35.600
<v Speaker 2>And I've heard from some folks in financial firms who

0:15:35.760 --> 0:15:39.040
<v Speaker 2>use it ad for getting actionable items return to them

0:15:39.040 --> 0:15:39.600
<v Speaker 2>after a car.

0:15:39.840 --> 0:15:43.240
<v Speaker 5>Yeah, it's a good way of boosting one's efficiency or

0:15:43.800 --> 0:15:48.160
<v Speaker 5>aggregating information very quickly. But at the same how much

0:15:48.160 --> 0:15:51.480
<v Speaker 5>does that move a financial thinking yeah, And what we're

0:15:51.480 --> 0:15:54.760
<v Speaker 5>talking about here, I think the show me the money conversation.

0:15:55.320 --> 0:15:58.080
<v Speaker 5>It's not a consumer like me at my PC thinking wow,

0:15:58.120 --> 0:16:01.640
<v Speaker 5>AI is wonderful. These are enterprise customers and you want

0:16:01.680 --> 0:16:04.560
<v Speaker 5>to see they're committing big contracts to deck out their

0:16:04.640 --> 0:16:08.960
<v Speaker 5>ten thousand person company with Microsoft Copilot. That's where the

0:16:09.000 --> 0:16:09.920
<v Speaker 5>money is to be made.

0:16:10.000 --> 0:16:11.640
<v Speaker 3>I'm just thinking about the conversation we had was at

0:16:11.680 --> 0:16:14.600
<v Speaker 3>last week about workers saying, Okay, all the bosses said AI,

0:16:14.880 --> 0:16:17.160
<v Speaker 3>our generative AI was going to help me be more productive,

0:16:17.200 --> 0:16:20.040
<v Speaker 3>And in fact, it's stressing people out. It's stressing people out,

0:16:20.080 --> 0:16:23.960
<v Speaker 3>and they're not necessarily finding those productivity gains. Are we ed?

0:16:24.000 --> 0:16:27.800
<v Speaker 3>You know, when I think about technological cycles, is it

0:16:27.840 --> 0:16:29.800
<v Speaker 3>just going to take some time for this to kind

0:16:29.840 --> 0:16:32.840
<v Speaker 3>of work its way through in terms of jen AI

0:16:33.040 --> 0:16:36.880
<v Speaker 3>really making an impact on how we work and creating

0:16:36.960 --> 0:16:38.560
<v Speaker 3>those productivity gains.

0:16:38.680 --> 0:16:40.640
<v Speaker 5>I mean in the near term. That's why Microsoft's down

0:16:40.680 --> 0:16:43.360
<v Speaker 5>seven percent and after hours because investors had hoped it

0:16:43.400 --> 0:16:45.800
<v Speaker 5>would be now and it's not. It is probably it's.

0:16:45.680 --> 0:16:47.560
<v Speaker 3>Still many months or years ago wish, right.

0:16:48.040 --> 0:16:50.880
<v Speaker 5>But you also have to say that thirty percent top

0:16:50.920 --> 0:16:52.680
<v Speaker 5>line growth year on year for the second quarter in

0:16:52.680 --> 0:16:55.120
<v Speaker 5>a row of azure is pretty good, you know, in

0:16:55.200 --> 0:16:57.760
<v Speaker 5>any other sector industry you go, Wow, what an impressive

0:16:57.800 --> 0:17:00.680
<v Speaker 5>set of earnings, right, even if you slightly miss estimates.

0:17:00.840 --> 0:17:02.640
<v Speaker 5>There's something. I'm trying to tie all of this together

0:17:02.680 --> 0:17:05.240
<v Speaker 5>like it's one quarter print in a big newsweek, but

0:17:05.680 --> 0:17:07.760
<v Speaker 5>I think that it's very telling the comments of Mark

0:17:07.840 --> 0:17:11.720
<v Speaker 5>Zuckerberg and Jensen One yesterday on stage in Denver that

0:17:11.880 --> 0:17:14.399
<v Speaker 5>right now, AI is for the knowledge worker. It's for

0:17:14.440 --> 0:17:16.600
<v Speaker 5>a computer scientist who has to do it for their

0:17:16.680 --> 0:17:19.640
<v Speaker 5>job every day. And the vast majority of businesses, even

0:17:19.640 --> 0:17:21.640
<v Speaker 5>if they know they have to invest in it, haven't

0:17:21.720 --> 0:17:23.280
<v Speaker 5>quite worked out what they're supposed to.

0:17:23.320 --> 0:17:23.719
<v Speaker 1>Do with it.

0:17:24.400 --> 0:17:26.400
<v Speaker 2>But that's not what the promise of AI is going

0:17:26.440 --> 0:17:26.639
<v Speaker 2>to be.

0:17:26.760 --> 0:17:26.879
<v Speaker 4>Now.

0:17:26.960 --> 0:17:29.760
<v Speaker 2>Promise of AI is, you know, for lack of a

0:17:29.760 --> 0:17:33.399
<v Speaker 2>better term, getting rid of customer support agents who you

0:17:33.480 --> 0:17:36.280
<v Speaker 2>call because it's so expensive for a company to pay

0:17:36.280 --> 0:17:39.919
<v Speaker 2>them that you know, the idea is they'll create programs

0:17:39.920 --> 0:17:41.239
<v Speaker 2>that will do their work for them.

0:17:41.359 --> 0:17:41.560
<v Speaker 4>Yes.

0:17:41.600 --> 0:17:43.640
<v Speaker 5>So like one example is a startup called in the Van.

0:17:43.680 --> 0:17:44.960
<v Speaker 5>I just pluck it out of my head because I

0:17:44.960 --> 0:17:46.760
<v Speaker 5>saw a billboard I drove past it the other day.

0:17:47.320 --> 0:17:49.480
<v Speaker 5>Think about like if you have some travel disruption, or

0:17:49.520 --> 0:17:53.360
<v Speaker 5>you are providing technology to a like package holiday website,

0:17:53.359 --> 0:17:55.399
<v Speaker 5>and you go, my flight's cancel. Get me on another.

0:17:55.720 --> 0:17:59.679
<v Speaker 5>The vision is that the agent has enough intelligence to

0:17:59.720 --> 0:18:01.840
<v Speaker 5>say there's a flight at four, I'll move you on

0:18:01.880 --> 0:18:03.959
<v Speaker 5>to it our refund. I'm doing this of my own

0:18:04.040 --> 0:18:06.720
<v Speaker 5>volition based on the data available to me, and it's

0:18:06.720 --> 0:18:07.320
<v Speaker 5>getting there.

0:18:07.520 --> 0:18:07.720
<v Speaker 3>Yeah.

0:18:07.720 --> 0:18:11.040
<v Speaker 5>But also the consuming's willingness to use that is important.

0:18:11.440 --> 0:18:13.480
<v Speaker 5>Like I'm not using AI to write my scripts for

0:18:13.480 --> 0:18:16.399
<v Speaker 5>Bloomberg Technology every morning because I still feel that please

0:18:16.440 --> 0:18:19.120
<v Speaker 5>please keep me in my job as a journalist. I'm

0:18:19.119 --> 0:18:19.679
<v Speaker 5>better suited.

0:18:19.760 --> 0:18:22.000
<v Speaker 2>We've tried it. It's track right, So maybe I'm a

0:18:22.080 --> 0:18:24.480
<v Speaker 2>bad prompt engineer. Maybe that's the problem, but we have

0:18:24.560 --> 0:18:25.760
<v Speaker 2>not been able to pull it off yet.

0:18:25.920 --> 0:18:26.000
<v Speaker 4>Ed.

0:18:26.160 --> 0:18:27.800
<v Speaker 3>Yeah, although we talk about it. If there is a

0:18:27.800 --> 0:18:30.720
<v Speaker 3>point where it is actually really good in terms of

0:18:30.760 --> 0:18:32.919
<v Speaker 3>writing introductions, how great it would be to free us

0:18:33.040 --> 0:18:35.760
<v Speaker 3>up to do things like booking guests and doing things

0:18:35.800 --> 0:18:38.120
<v Speaker 3>like that or researcher what have you, kind of move

0:18:38.160 --> 0:18:44.080
<v Speaker 3>it to a higher level. All right, so alphabet, yeah, Microsoft,

0:18:44.480 --> 0:18:46.480
<v Speaker 3>So now we move on to what Meta. We're going

0:18:46.560 --> 0:18:48.600
<v Speaker 3>to move on to Amazon. What are you thinking about

0:18:48.640 --> 0:18:49.520
<v Speaker 3>the rest of the space.

0:18:49.760 --> 0:18:52.040
<v Speaker 5>So the thing about alphabet is it goes first and

0:18:52.080 --> 0:18:54.040
<v Speaker 5>you learn a lot about the week that's to come.

0:18:54.119 --> 0:18:56.720
<v Speaker 5>But the big takeaway from that earnings. Even though we

0:18:56.840 --> 0:18:59.240
<v Speaker 5>focused on Capex, which you've been talking your guests about

0:18:59.240 --> 0:19:01.640
<v Speaker 5>for forty eight hours, and we focused on cloud growth,

0:19:01.960 --> 0:19:04.560
<v Speaker 5>the most important takeaway was it was their search business

0:19:04.560 --> 0:19:07.080
<v Speaker 5>that was the biggest contributors to growth. And they didn't

0:19:07.160 --> 0:19:10.080
<v Speaker 5>expressly say that it was AI that did that. They

0:19:10.080 --> 0:19:12.520
<v Speaker 5>just said it was our search business. They old fashioned

0:19:12.560 --> 0:19:14.880
<v Speaker 5>bread and butter search business. And so when you look

0:19:14.880 --> 0:19:17.560
<v Speaker 5>ahead to a Meta or an Amazon, you're going to

0:19:17.600 --> 0:19:20.080
<v Speaker 5>get AWS cloud growth from Amazon, You're going to get

0:19:20.080 --> 0:19:23.760
<v Speaker 5>Meta talking up at Capex and it's AI agents. But

0:19:23.840 --> 0:19:27.000
<v Speaker 5>it's very likely that they'll also say growth came from

0:19:27.000 --> 0:19:29.280
<v Speaker 5>one of our many other businesses. That's why they have

0:19:29.359 --> 0:19:32.000
<v Speaker 5>some differentiation. But that might also be a cause for disappointment.

0:19:32.200 --> 0:19:36.000
<v Speaker 2>Do the increasing visibility of AI agents within what's Happened

0:19:36.000 --> 0:19:39.800
<v Speaker 2>within Instagram? Does that do anything for the bottom line?

0:19:40.280 --> 0:19:40.800
<v Speaker 5>They hope?

0:19:40.840 --> 0:19:41.000
<v Speaker 4>So.

0:19:41.280 --> 0:19:43.920
<v Speaker 5>I mean, I don't know how many of Meta's platforms

0:19:43.920 --> 0:19:45.720
<v Speaker 5>you guys are on. On most of them, yeah, I

0:19:45.800 --> 0:19:49.280
<v Speaker 5>like Instagram What's Happened? I use the Meta AI quite

0:19:49.320 --> 0:19:52.679
<v Speaker 5>a lot in the search function. Right, it's basically another

0:19:53.119 --> 0:19:57.320
<v Speaker 5>chat GPT for want of a better comparison Lama, Yes, exactly,

0:19:57.400 --> 0:20:01.600
<v Speaker 5>it's better AI built on Lama. But the probably most

0:20:01.600 --> 0:20:04.760
<v Speaker 5>interesting example is Facebook Marketplace, where people are buying and

0:20:04.800 --> 0:20:08.239
<v Speaker 5>selling their own secondhand goods, right or dealing is a

0:20:08.280 --> 0:20:11.800
<v Speaker 5>small business as an advertiser on the platform. I think

0:20:11.880 --> 0:20:15.000
<v Speaker 5>that's where Meta really sees AI agents adding value. It

0:20:15.160 --> 0:20:19.280
<v Speaker 5>just automates and makes more efficient that business transaction.

0:20:19.560 --> 0:20:22.159
<v Speaker 3>All right, everybody, that's a wrap. Ed Lo Love, of course,

0:20:22.640 --> 0:20:24.520
<v Speaker 3>co host of Bloomberg Tech on Bloomberg TV.