WEBVTT - Tech Earnings in Focus: Intel and Amazon

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<v Speaker 1>From Marhard where Innovation, Money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed loved Love.

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<v Speaker 3>I'm Kroene Heindeer Bloomberg's world headquarters in New York, and

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<v Speaker 3>I'm Med Lovelow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 5>Coming up Intel.

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<v Speaker 3>The shares they pop as the company's turnaround effort gains momentum.

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<v Speaker 5>We'll discuss with the CEO, Pat Gelsinger.

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<v Speaker 6>Plus we'll continue with the earnings coverage. Is Amazon's results

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<v Speaker 6>show a boost in its cloud computing unit, We'll break

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<v Speaker 6>down those numbers.

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<v Speaker 3>And one year on since Elon must truck over, the

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<v Speaker 3>company formerly known as Twitter and the Billionaire announces plans

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<v Speaker 3>to take on the likes of YouTube, LinkedIn and push

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<v Speaker 3>into payments more. We'll discuss that and so much more

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<v Speaker 3>throughout the hour, but first has.

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<v Speaker 5>Check in and what is a to finish up the week.

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<v Speaker 3>It's notable, though, we're seeing a rally across stocks and bonds,

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<v Speaker 3>which are usually at odds. And that's even as we

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<v Speaker 3>see those inflationary pressures build. From a macro perspective, Certainly,

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<v Speaker 3>consumers anticipated to see more inflation, so says Umiss, the

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<v Speaker 3>University of Michigan numbers and indeed that all important PC

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<v Speaker 3>number coming in strong. So we do though see tech

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<v Speaker 3>on top. Is that all to do with earnings? We'll

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<v Speaker 3>to get into it with you. Ed Nasdaq at one

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<v Speaker 3>point two percent, but still down on the week. I'm

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<v Speaker 3>looking at the two year yield just pulling in on

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<v Speaker 3>the longer round, it's pulling in a little bit more.

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<v Speaker 3>We're flat, but we're still above that five percent level.

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<v Speaker 3>But is there like a risk aversion as we head

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<v Speaker 3>towards the week and amid of course ongoing geo political concerns,

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<v Speaker 3>particularly with the Middle East, Bloomberg Dollar Index is actually

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<v Speaker 3>off by a quarter of percent despite that inflation gauge.

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<v Speaker 3>Let's have a little look at what's happening in terms

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<v Speaker 3>of the world a bitcoin, because over the last five

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<v Speaker 3>days it has been on a tear. We're up some

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<v Speaker 3>fourteen percent. Is this desire for haven Probably not. This

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<v Speaker 3>is still more a focus, a hope, a prayer, a

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<v Speaker 3>reality ed that maybe an ETF and spot bit coin

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<v Speaker 3>is coming soon.

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<v Speaker 6>Yeah, it's kind of like a broad risk on sentiment.

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<v Speaker 6>And you talked about tech being on top and earnings

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<v Speaker 6>is kind of the driver of that. Intel gave a

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<v Speaker 6>sales forecast for the current period that at the top

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<v Speaker 6>end of the range was way above street expectations, and

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<v Speaker 6>the story that they're trying to tell is that the

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<v Speaker 6>PC market is bottomed out. PC chips are their biggest

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<v Speaker 6>sort of volume sales, and that's been important. We will

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<v Speaker 6>speak to Pat Gelsinger later in the show. One point

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<v Speaker 6>in the session where I'm pointing to over there, biggest

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<v Speaker 6>jump on the stock since January of twenty twenty one.

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<v Speaker 6>But it's also the third straight quarter where investors have

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<v Speaker 6>looked at the story of Intel and said, yeah, we

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<v Speaker 6>like it. We believe you that the turnaround's happening. That's

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<v Speaker 6>what we're going to discuss. The other big, big name

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<v Speaker 6>is Amazon, and with Amazon right now, we've paired some

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<v Speaker 6>of the sessions gains. We were up a little more

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<v Speaker 6>than that, but we're still up significantly. The story was

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<v Speaker 6>actually beats across the board apart from aws in the

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<v Speaker 6>top line relative to expectations, but if you look at

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<v Speaker 6>the bottom line, the cloud unit brought in almost one

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<v Speaker 6>point five billion dollars of operating and come more than

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<v Speaker 6>the street was expect they've added customers in the quarter,

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<v Speaker 6>and generative AI is what's going to be the driver

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<v Speaker 6>of growth for AWS, the cash cow of Amazon's business

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<v Speaker 6>for years to come.

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<v Speaker 4>That's the story that Andy Jasse wanted to tell.

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<v Speaker 6>Let's get more with Bloomberg's Poonam goil Bloomberg Intelligence.

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<v Speaker 4>That's the story. But what did the numbers tell you? Poonam?

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<v Speaker 7>The numbers actually looked really good.

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<v Speaker 8>From a results perspective. Three Q was strong both for

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<v Speaker 8>AWS in our mind, the twelve percent game was in

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<v Speaker 8>line with last quarter, and the retail business did much

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<v Speaker 8>better than expected, which bodes well going into the all

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<v Speaker 8>important holiday season coming up.

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<v Speaker 5>So consumer looking more resilient.

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<v Speaker 3>What was it that Andy Jasse was able to get

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<v Speaker 3>across on the cool poonam that really studded nerves around

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<v Speaker 3>AWS and cloud in particular.

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<v Speaker 8>I think for EWUS, you know, the real important thing

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<v Speaker 8>was his tone and the fact that he said the

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<v Speaker 8>deal books were good and that things weren't any further

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<v Speaker 8>So it's like the trend is kind of just continuing

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<v Speaker 8>to stabilize, which was very encouraging, and it was in

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<v Speaker 8>contrast to what we heard from the other tech companies

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<v Speaker 8>are cloud providers earlier so I think that really was

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<v Speaker 8>what took the stock up during the call, and I

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<v Speaker 8>think that's what you're seeing today, just the confidence and

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<v Speaker 8>the cloud business near term and of course for the

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<v Speaker 8>longer term. We remain very optimistic on the cloud business,

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<v Speaker 8>both on the margin side and the top line.

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<v Speaker 6>All right, Pounam Goyle of Bloomberg Intelligence, thank you very much, Caroline.

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<v Speaker 6>Some news crossing the Bloomberg terminal that I've broken with

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<v Speaker 6>colleagues around the world in the last few minutes. ASC,

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<v Speaker 6>which is a Japanese battery maker, has just closed a

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<v Speaker 6>one billion dollar Series B led by GIC, Singapore's wealth fund.

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<v Speaker 4>But what I'm hearing from.

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<v Speaker 6>Sources is that they're also working already on a Series

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<v Speaker 6>C with their bankers and advisors that would value them

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<v Speaker 6>in the billions of dollars. This is a battery company

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<v Speaker 6>that makes the seals that go into evs. It has

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<v Speaker 6>deals with the likes of BMW and Mercedes here in

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<v Speaker 6>the US, some of the automakers in the UK. But

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<v Speaker 6>here's the next step that sources tell us they're looking

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<v Speaker 6>at a USIPO down the line as well.

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<v Speaker 4>And it's interesting.

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<v Speaker 6>It started life as a JV between Nissan and NEC

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<v Speaker 6>back in two thousand and seven. But in twenty eighteen,

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<v Speaker 6>a Chinese energy technology company called Envision bought a controlling

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<v Speaker 6>steak and Jang Lai, who is the founder CEO of Envision,

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<v Speaker 6>is also the chairman of ASC. So a lot of

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<v Speaker 6>questions from investors and insiders about how that ownership and

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<v Speaker 6>the Chinese relationships perceived, especially in the context of the IRA.

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<v Speaker 4>Check that story out on Bloomberg dot com.

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<v Speaker 3>Yeah, a great big school coming from ued. I don't

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<v Speaker 3>know where you find the time. Meanwhile, someone else is

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<v Speaker 3>busy at the moment, and it's one Sam mag Munfried.

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<v Speaker 3>He has taken a stand again today in the FDx

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<v Speaker 3>flaud trial, now this time in front of a jury. Yesterday,

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<v Speaker 3>of course we understood that there was a focus where

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<v Speaker 3>the judges being allowed, in particular for sanbackmcfree to testify

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<v Speaker 3>on ftx' data retention before this jury. At the moment,

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<v Speaker 3>he is currently discussing really the terms of service that

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<v Speaker 3>were created, he says back in May of twenty twenty

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<v Speaker 3>two documents currently being displayed on the monitor. Actually in

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<v Speaker 3>that particular court, he said he skimmed over a few

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<v Speaker 3>times overall, and that he went through parts of it

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<v Speaker 3>in more detail when they were released, But his understanding

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<v Speaker 3>was that this was referring to two different features on

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<v Speaker 3>the platform, first look coordation of user accounts, and second

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<v Speaker 3>clawbacks or socializing losses Bagmenfred is talking about. This is

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<v Speaker 3>basically all about explaining how maybe funds were used, particularly

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<v Speaker 3>when it comes in between Alameda Research, the Hedge Fund,

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<v Speaker 3>and FTX.

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<v Speaker 6>Part of what he was trying to explain was kind

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<v Speaker 6>of the role that FTX lawyers had in the lead

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<v Speaker 6>up to the collapse, that, you know, just drawing on

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<v Speaker 6>my own experience. As a parallel, I covered Trevor Milton,

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<v Speaker 6>the Nikola founder's trial on securities fraud, and I raised

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<v Speaker 6>that because Milton chose not to testify or his lawyer's

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<v Speaker 6>advice not to, it's highly unusual.

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<v Speaker 4>Not only the SBF is.

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<v Speaker 6>Testifying, but he's actually going to do so twice and

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<v Speaker 6>put it all on the line on the stand.

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<v Speaker 4>So we'll continue to cover that one character.

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<v Speaker 3>And of course no cameras inside the courtroom. That's why

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<v Speaker 3>I was thinking so much drawing of all of this.

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<v Speaker 3>But what's notable is we have got our reporters on

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<v Speaker 3>the ground. We are getting a tea live blog chee

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<v Speaker 3>throughout so go. Of course, that's one of the most

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<v Speaker 3>red stories on the Bloomberg terminal today Tea live if

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<v Speaker 3>you're lucky enough to have a Bloomberg. But overall, the

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<v Speaker 3>blow by blow blogging account of really what's going on

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<v Speaker 3>within that trial.

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<v Speaker 6>Welcome to our Bloomberg TV and radio audiences worldwide. Shares

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<v Speaker 6>of Intel popping today as the chip maker predicted a

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<v Speaker 6>return to sales growth in the fourth quarter, fueled by

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<v Speaker 6>a rebound in the personal computer market but also a

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<v Speaker 6>more competitive product lineup. Joining us now is Intel CEO

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<v Speaker 6>Pat Gelsinger. And look, Pat, there was quite a long

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<v Speaker 6>list of things that investors cheered, right. This is the

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<v Speaker 6>third quarter where the market's basically said, Pat, we believe

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<v Speaker 6>you on the turnaround story, on your to do list,

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<v Speaker 6>where do you think you are and what do you

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<v Speaker 6>think you have left to do on that turnaround story?

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<v Speaker 4>Yeah?

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<v Speaker 9>Thanks Ed, And you know, overall, hey, it was a

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<v Speaker 9>great as we say, just a clean beat and raise

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<v Speaker 9>on all the financial metrics, but even more important was

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<v Speaker 9>the operational performance. And you know, as we said, hey,

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<v Speaker 9>getting back to process leadership, and we delivered key milestones

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<v Speaker 9>and we still have at least another year or two

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<v Speaker 9>to go on getting that done, but major milestones starting

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<v Speaker 9>to deliver foundry customers.

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<v Speaker 2>You know, I promised one at the start of.

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<v Speaker 9>The year, and now we have three on our most

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<v Speaker 9>advanced process technology, major packaging wins, and of course the

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<v Speaker 9>product execution you know, clean launch of the AI PC generation,

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<v Speaker 9>but also the server business getting back to profitability ahead

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<v Speaker 9>of schedule and a little bit better performance there and

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<v Speaker 9>delivering the AI Everywhere message with our accelerators our server

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<v Speaker 9>product line. So a really excellent quarter, and I'm just

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<v Speaker 9>so grateful for the Intel team. It's been a journey

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<v Speaker 9>and we are clearly coming.

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<v Speaker 6>Back a pat You've talked to investors and indeed to

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<v Speaker 6>Caroline and I about these new customers for the foundry business.

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<v Speaker 6>When do we get names? When are you going to

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<v Speaker 6>announce who these customers are?

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<v Speaker 9>Well, you two things there, ed, One is it's not

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<v Speaker 9>generally the practice of the foundry industry for the foundry

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<v Speaker 9>to be declaring their customer names.

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<v Speaker 2>So one, it's not practice, and also many of.

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<v Speaker 9>The customers consider it confidential and part of their competitive advantage.

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<v Speaker 2>And how and what technologies they choose.

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<v Speaker 9>So I can't promise names but we're going to characterize

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<v Speaker 9>them as best we can. And as we said, these

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<v Speaker 9>are high performance and AI customers. And we've really seen

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<v Speaker 9>the surge of interest in using the Intel technologies and

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<v Speaker 9>foundry for different AI offerings in the marketplace. And that's

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<v Speaker 9>both a wafer but also a packaging and this idea

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<v Speaker 9>of advanced packaging. In addition into the three on the

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<v Speaker 9>wafer side, we had two advanced packaging customers in AI

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<v Speaker 9>and that revenue materializes more rapidly and six more in

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<v Speaker 9>the pipeline, so overall a really substantial quarter. And the

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<v Speaker 9>AI space in particular has been the customers that have

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<v Speaker 9>seen the most enthusiasm.

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<v Speaker 3>And let's talk about the AI space because the running

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<v Speaker 3>of AI models is where you see your future. It's

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<v Speaker 3>not all just about the foundation models. It's actually the

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<v Speaker 3>running of them, not the building. But can you just

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<v Speaker 3>relieve some of the anxiety coming from investors about a

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<v Speaker 3>lack of clarity over data center future and indeed, what

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<v Speaker 3>is it that they need to hear from you? What

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<v Speaker 3>more can you articulate that really makes it clear to

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<v Speaker 3>them that you're going to be front of center in

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<v Speaker 3>the AI race.

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<v Speaker 2>Yeah, thanks Carolyn, And you know, really.

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<v Speaker 9>You know, first, let's characterize what we're talking about in

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<v Speaker 9>this idea of creating you know, these frontier or foundation models.

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<v Speaker 9>This is described versus using right and the training and

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<v Speaker 9>the inferencing against those models, and I sort of compare

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<v Speaker 9>it to like weather models. Not that many people generate

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<v Speaker 9>weather models, but a lot of people use them. And

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<v Speaker 9>that's how we think about this next phase of AI.

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<v Speaker 9>How do we make this inferencing or the use of

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<v Speaker 9>the models broadly available. And that's going to be in

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<v Speaker 9>the client, right we talked about the AIPC. It's going

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<v Speaker 9>to be at the edge right in retail and manufacturing

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<v Speaker 9>and supply chains. But it's also going to be an

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<v Speaker 9>on premise data centers. And as we've said, instead of

0:11:23.440 --> 0:11:26.000
<v Speaker 9>taking my data to the cloud, I want to bring

0:11:26.120 --> 0:11:29.240
<v Speaker 9>the AI to my data center where the data is

0:11:29.600 --> 0:11:32.520
<v Speaker 9>already and finally work in the cloud.

0:11:32.679 --> 0:11:34.240
<v Speaker 2>And for the data center proper.

0:11:34.320 --> 0:11:37.040
<v Speaker 9>As your question talks about, hey, you know, we knew

0:11:37.120 --> 0:11:39.120
<v Speaker 9>we were going to lose some market share here, right.

0:11:39.240 --> 0:11:41.839
<v Speaker 9>Those losses happened last year and they're sort of playing

0:11:41.880 --> 0:11:45.480
<v Speaker 9>out in the marketplace. But our roadmap is strong and

0:11:45.600 --> 0:11:49.559
<v Speaker 9>we over executed in the quarter on our next gen

0:11:49.679 --> 0:11:51.679
<v Speaker 9>R Gen four product that did a bit better than

0:11:51.720 --> 0:11:53.920
<v Speaker 9>we thought in a lot of AI use cases in

0:11:54.000 --> 0:11:57.480
<v Speaker 9>this area of inferencing. The next generation Gen five, we're

0:11:57.600 --> 0:11:59.960
<v Speaker 9>already ramping that in production and that's going to get

0:12:00.200 --> 0:12:03.680
<v Speaker 9>announced in December. But next year's products, we're already seeing

0:12:03.720 --> 0:12:05.760
<v Speaker 9>great health and we're ahead of schedule in those and

0:12:06.080 --> 0:12:09.320
<v Speaker 9>those really improve our competitiveness. And the twenty five products

0:12:09.360 --> 0:12:12.439
<v Speaker 9>will go into fab in the first quarter of next year.

0:12:12.559 --> 0:12:15.880
<v Speaker 9>So our whole roadmap and execution has really improved, and

0:12:16.000 --> 0:12:18.760
<v Speaker 9>we start to see ourselves regaining market share in twenty

0:12:18.840 --> 0:12:20.679
<v Speaker 9>four in that area. And I think that will be

0:12:20.760 --> 0:12:23.959
<v Speaker 9>sort of the final piece of the turnaround story. When

0:12:24.240 --> 0:12:27.559
<v Speaker 9>you know the market sees okay, data center is backstrong,

0:12:27.640 --> 0:12:30.079
<v Speaker 9>they're winning in the AI space. You know that'll be

0:12:30.320 --> 0:12:32.760
<v Speaker 9>the end of the turnaround story and people say, Okay,

0:12:32.920 --> 0:12:33.319
<v Speaker 9>they did it.

0:12:33.880 --> 0:12:36.839
<v Speaker 3>We'll go back to that building that training of data.

0:12:37.320 --> 0:12:39.680
<v Speaker 3>Can you talk a little about stability AI. Of course

0:12:39.920 --> 0:12:42.520
<v Speaker 3>you've got to deal to build their AI supercomputer. Was

0:12:42.559 --> 0:12:46.360
<v Speaker 3>that them really going to you for ultimately what GOUDI

0:12:46.400 --> 0:12:48.760
<v Speaker 3>can provide over what in video would or is it

0:12:49.480 --> 0:12:52.400
<v Speaker 3>that you wanted to really be sort of offering them

0:12:52.480 --> 0:12:54.559
<v Speaker 3>some carrots in the situation to be able to be

0:12:54.679 --> 0:12:56.000
<v Speaker 3>helping with the training of the models.

0:12:56.840 --> 0:12:57.680
<v Speaker 2>Yeah, great question.

0:12:57.800 --> 0:13:01.000
<v Speaker 9>And you know, now with Goudi, we're now deliver performance

0:13:01.080 --> 0:13:03.199
<v Speaker 9>and benchmarks that are as good as the best in

0:13:03.280 --> 0:13:06.120
<v Speaker 9>the industry. So we've gotten our performance there. You know,

0:13:06.160 --> 0:13:07.959
<v Speaker 9>there was also some of this work that you know,

0:13:08.040 --> 0:13:11.640
<v Speaker 9>the models were created and much of the software industry

0:13:11.800 --> 0:13:14.280
<v Speaker 9>was working, you know, on the n video platform, so

0:13:14.360 --> 0:13:16.079
<v Speaker 9>we had to do some of the software work to

0:13:16.160 --> 0:13:19.440
<v Speaker 9>get those running on the Gaudy platform. And they're looking

0:13:19.520 --> 0:13:22.360
<v Speaker 9>for more cost effective choices and ones that are supply

0:13:22.520 --> 0:13:25.880
<v Speaker 9>chain available in the industry. And as we're ramping our

0:13:25.960 --> 0:13:28.640
<v Speaker 9>Goudy product line, we're getting that software work done.

0:13:28.960 --> 0:13:30.680
<v Speaker 2>You know, they're priced more competitively.

0:13:31.000 --> 0:13:34.160
<v Speaker 9>Customers are saying, wow, I can do that work and

0:13:34.320 --> 0:13:37.280
<v Speaker 9>do it at a much lower power performance envelope than

0:13:37.320 --> 0:13:41.240
<v Speaker 9>the alternatives and have a much more cost effective model

0:13:41.320 --> 0:13:45.079
<v Speaker 9>training and inferencing at scale. Okay, you were seeing a

0:13:45.200 --> 0:13:47.720
<v Speaker 9>real surge of interest, and as I said, we doubled

0:13:47.760 --> 0:13:51.040
<v Speaker 9>our pipeline of customers this quarter, you know, and we

0:13:51.480 --> 0:13:53.400
<v Speaker 9>you know, like others in the industry, are now supply

0:13:53.559 --> 0:13:56.000
<v Speaker 9>chain constrained and we're racing to catch up to that

0:13:56.120 --> 0:13:58.160
<v Speaker 9>demand on our gaudy product.

0:13:57.880 --> 0:14:02.360
<v Speaker 6>Line throppening by radio and television audience worldwide. We're speaking

0:14:02.440 --> 0:14:05.720
<v Speaker 6>to the CEO of Intel, Pat Gelsinger. Pat, the story

0:14:05.800 --> 0:14:08.920
<v Speaker 6>of this week has been chip companies entering the PC

0:14:09.120 --> 0:14:14.640
<v Speaker 6>processor market on architecture, how do you hold off those newcomers?

0:14:15.040 --> 0:14:18.520
<v Speaker 6>You know, attention for example one Apple this coming Monday,

0:14:18.640 --> 0:14:20.720
<v Speaker 6>and they have done well in that domain.

0:14:22.520 --> 0:14:26.720
<v Speaker 9>Yeah, and I think of the AI PC as an

0:14:26.760 --> 0:14:30.720
<v Speaker 9>exciting category and this is one that we announced. We've

0:14:31.000 --> 0:14:33.520
<v Speaker 9>been the first company on that and we're now ramping

0:14:33.880 --> 0:14:37.680
<v Speaker 9>our first generation AI PC products called the Core Ultra.

0:14:38.080 --> 0:14:40.560
<v Speaker 9>So others are talking about what they might do in

0:14:40.640 --> 0:14:43.880
<v Speaker 9>a year or two years, we're ramping products in the marketplace.

0:14:44.400 --> 0:14:47.640
<v Speaker 9>Today we announced over one hundred is svs in our

0:14:47.880 --> 0:14:51.720
<v Speaker 9>AI Acceleration program, so they're coming on board, and before

0:14:51.840 --> 0:14:54.880
<v Speaker 9>others have their products even shipping in the marketplace, we'll

0:14:54.880 --> 0:14:58.200
<v Speaker 9>be launching our next generation, our lunar Lake product, which

0:14:58.240 --> 0:15:01.240
<v Speaker 9>we've already demonstrated for next year, and panther La like

0:15:01.320 --> 0:15:04.440
<v Speaker 9>our twenty five product. We're sending that into fab on

0:15:04.600 --> 0:15:08.600
<v Speaker 9>our leadership Intel eighteen A process Technology and Q one

0:15:08.960 --> 0:15:11.200
<v Speaker 9>so I feel like we have a very strong roadmap,

0:15:11.480 --> 0:15:15.000
<v Speaker 9>and Hey, the idea of an ARM based PC, you know,

0:15:15.040 --> 0:15:17.320
<v Speaker 9>they've always been sort of niche and low end, with

0:15:17.400 --> 0:15:19.800
<v Speaker 9>the exception of Apple, and there it's not ARM, it's

0:15:19.840 --> 0:15:24.040
<v Speaker 9>Apple and their ecosystem. So for the broader windows are market,

0:15:24.160 --> 0:15:27.840
<v Speaker 9>you know, it's always been pretty low end and insignificant

0:15:27.880 --> 0:15:30.240
<v Speaker 9>in the bigger context. And as long as we deliver

0:15:30.400 --> 0:15:33.360
<v Speaker 9>our roadmap, I feel very confident that it's other surge

0:15:33.440 --> 0:15:36.360
<v Speaker 9>into the AIPC space. You know, this is a lift

0:15:36.680 --> 0:15:40.640
<v Speaker 9>to the overall PC market and will be uniquely positioned

0:15:40.680 --> 0:15:41.400
<v Speaker 9>to benefit from that.

0:15:42.680 --> 0:15:45.120
<v Speaker 6>Pat going back just a second to Stability in the

0:15:45.160 --> 0:15:48.520
<v Speaker 6>AI supercomputer. That's kind of in the assembled component domain.

0:15:49.000 --> 0:15:51.240
<v Speaker 6>But are you saying or are you able to confirm

0:15:51.320 --> 0:15:55.040
<v Speaker 6>that's a paid relationship with Stability to praise you for

0:15:55.240 --> 0:15:55.960
<v Speaker 6>use of Goudy.

0:15:56.880 --> 0:15:59.120
<v Speaker 9>Oh yeah, yeah, this is a is a major customer

0:15:59.560 --> 0:16:02.680
<v Speaker 9>and we'll be building that with them, of course, working

0:16:02.760 --> 0:16:06.000
<v Speaker 9>closely with them, but this is a paid customer relationship.

0:16:06.280 --> 0:16:06.440
<v Speaker 10>You know.

0:16:06.520 --> 0:16:10.720
<v Speaker 2>We also see quite another set around our OEMs.

0:16:10.760 --> 0:16:14.200
<v Speaker 9>We announced the major partnership with Dell right for not

0:16:14.360 --> 0:16:17.800
<v Speaker 9>only Xeon's but also Goudy's as they come on premise

0:16:17.880 --> 0:16:20.040
<v Speaker 9>and their cloud offerings. You know, we've seen a big

0:16:20.200 --> 0:16:24.040
<v Speaker 9>upsurge in Goudy interest in the Intel Developer Cloud. We

0:16:24.120 --> 0:16:27.200
<v Speaker 9>had a five x increase in the developers on our

0:16:27.280 --> 0:16:30.600
<v Speaker 9>developer cloud, much of that on the Goudi platform. And

0:16:30.640 --> 0:16:33.760
<v Speaker 9>as I said, we saw you well over a billion

0:16:33.840 --> 0:16:37.920
<v Speaker 9>dollars last quarter. We've approximately doubled that to this quarter

0:16:38.040 --> 0:16:43.400
<v Speaker 9>of Goudy demand worldwide, and those are largely paid customer engagements.

0:16:43.760 --> 0:16:47.280
<v Speaker 9>So overall, we're just seeing a surge of interest with stability, AI,

0:16:47.480 --> 0:16:48.520
<v Speaker 9>Dell and many others.

0:16:50.160 --> 0:16:54.280
<v Speaker 6>Pat we every earnings look to your forecast for the

0:16:54.400 --> 0:16:58.560
<v Speaker 6>PC market and you're slightly more positive than consensus in

0:16:58.720 --> 0:17:01.600
<v Speaker 6>terms of literally how many PCs you think we'll ship

0:17:01.640 --> 0:17:04.520
<v Speaker 6>around the world this year. I guess part of that

0:17:04.760 --> 0:17:07.720
<v Speaker 6>is baked into your sales forecast for the current period

0:17:07.760 --> 0:17:11.440
<v Speaker 6>as well. What gives you that confidence and why is

0:17:11.520 --> 0:17:14.280
<v Speaker 6>it that consumers will return to buying PCs?

0:17:15.240 --> 0:17:17.239
<v Speaker 2>Yeah, and there's probably three different factors there.

0:17:17.359 --> 0:17:19.280
<v Speaker 9>You know. One is I can say, hey, we gave

0:17:19.359 --> 0:17:23.920
<v Speaker 9>this two hundred and seventy million ish PCs being sold

0:17:24.040 --> 0:17:26.560
<v Speaker 9>through this year, and we said that earlier in the year.

0:17:26.720 --> 0:17:28.440
<v Speaker 2>Many thought that we were too optimistic.

0:17:28.800 --> 0:17:31.320
<v Speaker 9>Hey, we look at it today and we're almost spot

0:17:31.400 --> 0:17:35.920
<v Speaker 9>on with our accuracy on that forecast. Second, we've seen

0:17:36.000 --> 0:17:39.640
<v Speaker 9>the industry, you know, not just Intel, but the industry overall.

0:17:40.080 --> 0:17:43.160
<v Speaker 9>Inventory levels are now healthy, you know, and we look

0:17:43.160 --> 0:17:46.200
<v Speaker 9>at our selling rate versus sellout rate, you know, the

0:17:46.280 --> 0:17:49.280
<v Speaker 9>product is selling through. I'd also say, hey, we're off

0:17:49.320 --> 0:17:51.240
<v Speaker 9>to a good start in Q four. We're a couple

0:17:51.280 --> 0:17:52.960
<v Speaker 9>of weeks into the quarter, and as I said on

0:17:53.000 --> 0:17:55.800
<v Speaker 9>the earnings call, really good start.

0:17:55.640 --> 0:17:56.760
<v Speaker 2>To Q four as well.

0:17:56.840 --> 0:17:59.520
<v Speaker 9>And you know, seasonality is a bit above in Q

0:17:59.760 --> 0:18:02.920
<v Speaker 9>four or historical levels. We also have things like Windows

0:18:03.040 --> 0:18:07.000
<v Speaker 9>ten end of service coming from Microsoft. Microsoft's about to

0:18:07.560 --> 0:18:11.399
<v Speaker 9>release their copilot products. But I'd say the sizzle in

0:18:11.480 --> 0:18:16.119
<v Speaker 9>the marketplaces around this AIPC brad new use cases for

0:18:16.200 --> 0:18:19.359
<v Speaker 9>the PC. And I've compared it to the Centrino moment

0:18:19.760 --> 0:18:23.119
<v Speaker 9>of twenty years ago when Centrino really ushered Wi Fi

0:18:23.320 --> 0:18:26.280
<v Speaker 9>at scale into the industry. And we think that's exactly

0:18:26.359 --> 0:18:28.520
<v Speaker 9>what's going to happen with the AIPC. It will be

0:18:28.600 --> 0:18:32.240
<v Speaker 9>a driver of new applications and use cases for the

0:18:32.320 --> 0:18:35.720
<v Speaker 9>PC and bringing a bit more excitement, a bit acceleration

0:18:36.000 --> 0:18:38.600
<v Speaker 9>more users coming into the marketplace because it's going to

0:18:38.680 --> 0:18:41.800
<v Speaker 9>give significant new capabilities to PC users.

0:18:42.160 --> 0:18:43.920
<v Speaker 3>Is that what gives you your gross margin level of

0:18:43.960 --> 0:18:46.280
<v Speaker 3>sixty percent? Again, is that where the confidence comes from.

0:18:47.760 --> 0:18:50.919
<v Speaker 9>Well, to get our overall gross margins up above sixty percent,

0:18:51.080 --> 0:18:54.480
<v Speaker 9>I need the whole business to improve, Carolyn. Obviously we're

0:18:54.840 --> 0:18:57.600
<v Speaker 9>making good progress in the PC. I also need to

0:18:57.640 --> 0:19:01.520
<v Speaker 9>improve my factory network. And as we get back to leadership,

0:19:01.640 --> 0:19:05.520
<v Speaker 9>we finished this super aggressive five nodes in four years.

0:19:05.560 --> 0:19:08.600
<v Speaker 9>You know, I'm churning through capital very rapidly to get

0:19:08.640 --> 0:19:11.680
<v Speaker 9>back to leadership. That's a big factor getting the data

0:19:11.760 --> 0:19:14.560
<v Speaker 9>center business healthy. Going back to one of your earlier questions,

0:19:14.560 --> 0:19:18.840
<v Speaker 9>another factor in getting back to our margin structures. One

0:19:18.840 --> 0:19:20.760
<v Speaker 9>of the other things we did this quarter was also

0:19:20.920 --> 0:19:24.520
<v Speaker 9>have great operational success on our cost saving initiatives, and

0:19:24.600 --> 0:19:27.640
<v Speaker 9>we said, you know, we would result in three billion savings.

0:19:28.119 --> 0:19:29.560
<v Speaker 2>We've also cleaned up the company.

0:19:29.600 --> 0:19:33.080
<v Speaker 9>I've exited ten businesses since I've been here, and now

0:19:33.200 --> 0:19:34.960
<v Speaker 9>we think we're finished with that phase and we just

0:19:35.040 --> 0:19:37.919
<v Speaker 9>get focused on growing the company again to the future.

0:19:38.320 --> 0:19:40.520
<v Speaker 9>So part of its growth, part of it's this focus

0:19:40.640 --> 0:19:43.520
<v Speaker 9>areas across the businesses and part of it's just increased

0:19:43.560 --> 0:19:46.840
<v Speaker 9>operational discipline. But this quarter's results were well on our

0:19:46.880 --> 0:19:47.920
<v Speaker 9>way to accomplishing that.

0:19:48.320 --> 0:19:50.760
<v Speaker 3>And you talk of operations there, and we didn't get

0:19:50.840 --> 0:19:52.359
<v Speaker 3>time to talk about it, but we know that you do,

0:19:52.440 --> 0:19:55.800
<v Speaker 3>indeed have operations in Israel, and we think of your

0:19:55.880 --> 0:19:59.520
<v Speaker 3>own employees and your infrastructure there at this time, Pats,

0:19:59.600 --> 0:20:01.520
<v Speaker 3>so thank you, thank you very much for spending some

0:20:01.640 --> 0:20:03.200
<v Speaker 3>time with us and walking us through your numbers.

0:20:03.240 --> 0:20:05.120
<v Speaker 5>Intel CEO Pat Gelsinger.

0:20:04.680 --> 0:20:14.679
<v Speaker 4>There time for talking tech. First up.

0:20:14.680 --> 0:20:17.240
<v Speaker 6>Apple enthusiasts are getting ready for the company to real

0:20:17.280 --> 0:20:20.399
<v Speaker 6>it's latest Imax and MacBook pros. Bloomberg's reported the new

0:20:20.480 --> 0:20:24.600
<v Speaker 6>computers will likely include the new M three three nanometer processors.

0:20:24.800 --> 0:20:27.200
<v Speaker 6>The product reveal will be Apple's last of twenty twenty

0:20:27.240 --> 0:20:31.120
<v Speaker 6>three this upcoming Monday, plus Huawei's Mate sixty smartphone breakthrough

0:20:31.240 --> 0:20:34.040
<v Speaker 6>driving sales to the company as profit doubles in the

0:20:34.080 --> 0:20:36.640
<v Speaker 6>most recent quart, Adding to signs the Chinese tech leader

0:20:36.920 --> 0:20:40.560
<v Speaker 6>is steadying a business rocked by US sanctions and Elon

0:20:40.680 --> 0:20:44.119
<v Speaker 6>Musk setting his sites on YouTube and LinkedIn ex executives

0:20:44.160 --> 0:20:46.560
<v Speaker 6>whole staff at a company meeting. They see the two

0:20:46.680 --> 0:20:50.480
<v Speaker 6>sites as future competitors Bloomberg reports as must also planning

0:20:50.520 --> 0:20:53.480
<v Speaker 6>to create a new service called x wire that would

0:20:53.520 --> 0:20:57.720
<v Speaker 6>rither scisions, pr newswir and interesting one from us overnight Carrot.

0:20:57.800 --> 0:20:59.840
<v Speaker 5>Yeah, I mean from you ed overnight.

0:21:00.040 --> 0:21:03.280
<v Speaker 3>And really, ultimately this is coming down to wanting to

0:21:03.400 --> 0:21:05.760
<v Speaker 3>be that global town hall, wanting stilled to be the

0:21:05.840 --> 0:21:08.600
<v Speaker 3>place where you go to X for news in particular,

0:21:08.680 --> 0:21:11.040
<v Speaker 3>I mean really got a lot of convincing of business

0:21:11.119 --> 0:21:13.320
<v Speaker 3>or corporates there to want to be filing them press

0:21:13.359 --> 0:21:14.240
<v Speaker 3>releases for example.

0:21:14.440 --> 0:21:15.600
<v Speaker 4>Yeah, there's a lot of battlegrounds.

0:21:15.600 --> 0:21:18.080
<v Speaker 6>Remember today is the one year anniversary of Musk closing

0:21:18.119 --> 0:21:20.639
<v Speaker 6>the deal to take Twitter private now X and this

0:21:20.840 --> 0:21:22.800
<v Speaker 6>was the first time the Acarina and Musk had done

0:21:22.840 --> 0:21:25.520
<v Speaker 6>a joint all hands together, I'm told by sources.

0:21:25.600 --> 0:21:27.320
<v Speaker 4>So some interesting data coming out of that one.

0:21:34.760 --> 0:21:36.960
<v Speaker 5>Welcome back to Bloomberg Technology. I'm Caroline Hired in.

0:21:36.960 --> 0:21:40.600
<v Speaker 6>New York and I'm Loavelo in San Francisco. Look, we

0:21:40.680 --> 0:21:43.360
<v Speaker 6>made it to the end of a megaweek for megacat

0:21:43.400 --> 0:21:46.440
<v Speaker 6>Tech earnings and it's interesting to see holistically how.

0:21:46.359 --> 0:21:47.520
<v Speaker 4>The market looks right now.

0:21:47.600 --> 0:21:49.520
<v Speaker 6>And that's that one hundred on a five day basis

0:21:49.880 --> 0:21:52.920
<v Speaker 6>down for a second consecutive week, down two percent. We're

0:21:52.960 --> 0:21:56.080
<v Speaker 6>up one percent in Friday session. Amazon a big part

0:21:56.119 --> 0:21:58.280
<v Speaker 6>of the points moving to the upside driving that, but

0:21:58.760 --> 0:22:01.800
<v Speaker 6>on the whole into kind of we're waiting for the

0:22:01.960 --> 0:22:05.239
<v Speaker 6>next two Apple and Nvidia. Remember Carroe that we went

0:22:05.320 --> 0:22:08.159
<v Speaker 6>into this earning season saying the big five are going

0:22:08.240 --> 0:22:10.119
<v Speaker 6>to bring all of the EPs growth for the S

0:22:10.200 --> 0:22:12.240
<v Speaker 6>and P five hundred. And if you took out those

0:22:12.280 --> 0:22:14.600
<v Speaker 6>big five, the three of which reported this week, and

0:22:14.640 --> 0:22:17.000
<v Speaker 6>then in Vidia and Apple to come, the SMP five

0:22:17.119 --> 0:22:20.560
<v Speaker 6>hundred would have an earning's growth decline or lack of

0:22:20.680 --> 0:22:23.800
<v Speaker 6>growth down around five percent. So we've been waiting and

0:22:23.840 --> 0:22:26.239
<v Speaker 6>there's more to come. Dig in on one specific name,

0:22:26.240 --> 0:22:29.280
<v Speaker 6>which is Amazon going gangbusters this Friday. We've got the

0:22:29.320 --> 0:22:31.800
<v Speaker 6>perfect guests to talk about Amazon as well, and bring

0:22:31.880 --> 0:22:36.080
<v Speaker 6>in a Yoko Yoshioka portfolio manager, a wealth enhancement group.

0:22:36.440 --> 0:22:39.760
<v Speaker 6>You heard my pre amble on the big five tech names.

0:22:40.320 --> 0:22:42.560
<v Speaker 6>Was your scorecard for the three that have gone so far?

0:22:44.240 --> 0:22:48.520
<v Speaker 10>Well, clearly Microsoft is a big winner during earning season,

0:22:48.640 --> 0:22:52.680
<v Speaker 10>but Amazon wasn't too shabby either, And it's really you

0:22:52.720 --> 0:22:55.720
<v Speaker 10>know the story of AI and.

0:22:55.840 --> 0:22:58.600
<v Speaker 7>The impact that AI is going to have going forward.

0:22:59.560 --> 0:23:03.040
<v Speaker 10>Amazon did a great job on their conference call talking

0:23:03.119 --> 0:23:05.639
<v Speaker 10>about the impact of AI and how that's going to

0:23:05.720 --> 0:23:10.160
<v Speaker 10>add tens of billions of dollars of revenue for AWS,

0:23:10.280 --> 0:23:12.880
<v Speaker 10>which was something that investors really like to hear.

0:23:13.800 --> 0:23:18.320
<v Speaker 3>What they don't like to hear, IAKO is consumer concern

0:23:18.560 --> 0:23:22.440
<v Speaker 3>or macro concerns, And that was a business macro perspective

0:23:22.480 --> 0:23:24.480
<v Speaker 3>that we got that let us down on the metafront,

0:23:24.520 --> 0:23:26.760
<v Speaker 3>for example, and maybe a little bit on Alphabet as well.

0:23:27.119 --> 0:23:29.000
<v Speaker 3>What do you think about the resiliency of the macro

0:23:29.119 --> 0:23:30.439
<v Speaker 3>pitch for these tech names right now?

0:23:31.960 --> 0:23:35.440
<v Speaker 10>Sure, you know, from a overall standpoint, all of these

0:23:35.480 --> 0:23:39.480
<v Speaker 10>companies have just very strong balance sheets, and so you know,

0:23:39.720 --> 0:23:42.680
<v Speaker 10>it's it's been a flight to quality to a certain

0:23:42.720 --> 0:23:45.719
<v Speaker 10>degree for many investors who are concerned about the overall

0:23:45.840 --> 0:23:50.520
<v Speaker 10>macro environment. Having companies that have high quality balance sheets,

0:23:50.560 --> 0:23:53.920
<v Speaker 10>that have cash that is now generating you know, five

0:23:54.000 --> 0:23:57.680
<v Speaker 10>percent plus, that's a huge relief for a lot of

0:23:57.800 --> 0:24:01.320
<v Speaker 10>investors that they can rely on despite the valuations being

0:24:01.359 --> 0:24:03.440
<v Speaker 10>a little bit elevated, I think in the near term.

0:24:04.080 --> 0:24:05.960
<v Speaker 3>And what we've seen over the course of this week

0:24:06.160 --> 0:24:09.719
<v Speaker 3>is the idiosyncratic nature of big tech some of them

0:24:09.800 --> 0:24:12.280
<v Speaker 3>doing well on earnings and leading gages high, and then

0:24:12.320 --> 0:24:14.880
<v Speaker 3>the macro perspective just pushing back and over the course

0:24:14.920 --> 0:24:17.879
<v Speaker 3>of the week, the Nazark is lower going for is AI.

0:24:18.040 --> 0:24:21.000
<v Speaker 3>Do you think the silver line necessary to allow these

0:24:21.040 --> 0:24:23.200
<v Speaker 3>companies to continue to go up into the right.

0:24:24.800 --> 0:24:25.359
<v Speaker 7>Absolutely?

0:24:25.440 --> 0:24:27.919
<v Speaker 10>And I think one of the things that Andy Jassey

0:24:28.040 --> 0:24:31.480
<v Speaker 10>highlighted on the Amazon call yesterday was just the impact

0:24:31.640 --> 0:24:35.160
<v Speaker 10>of some of these AI technologies. You know, whether it's

0:24:35.320 --> 0:24:41.000
<v Speaker 10>code Whisper for Amazon's AWS or duet for Google and

0:24:41.800 --> 0:24:44.080
<v Speaker 10>GitHub Copilot for Microsoft.

0:24:44.320 --> 0:24:47.280
<v Speaker 7>You know, all of these are going to produce productivity gains,

0:24:47.560 --> 0:24:49.000
<v Speaker 7>you know, just removing some of.

0:24:49.040 --> 0:24:52.080
<v Speaker 10>That repetitive code for developers, and I think that's going

0:24:52.119 --> 0:24:54.399
<v Speaker 10>to be a big game changer and really speed up

0:24:54.720 --> 0:24:58.359
<v Speaker 10>the acceleration of the changes and the impact that AI

0:24:58.520 --> 0:25:02.960
<v Speaker 10>can bring a you know, not just for these three companies,

0:25:03.040 --> 0:25:04.280
<v Speaker 10>but across.

0:25:03.920 --> 0:25:05.000
<v Speaker 7>The board for every company.

0:25:07.640 --> 0:25:10.840
<v Speaker 6>It's hard to believe, but we're already basically in November,

0:25:11.520 --> 0:25:13.760
<v Speaker 6>and Caroline and I have been thinking about the end

0:25:13.800 --> 0:25:16.760
<v Speaker 6>of the year. We started the year with just mass

0:25:16.840 --> 0:25:21.160
<v Speaker 6>layoffs across big tech and cutting back costs. How much

0:25:21.240 --> 0:25:23.480
<v Speaker 6>of that is what's showing up now, particularly on the

0:25:23.520 --> 0:25:25.760
<v Speaker 6>bottom line with tech that all the pain that they

0:25:25.840 --> 0:25:29.040
<v Speaker 6>went through, actually it seems to have benefited them at

0:25:29.080 --> 0:25:30.439
<v Speaker 6>least financially.

0:25:32.119 --> 0:25:32.760
<v Speaker 7>Absolutely.

0:25:32.880 --> 0:25:35.800
<v Speaker 10>You know, it was you heard all of these companies

0:25:35.880 --> 0:25:40.239
<v Speaker 10>talking about cloud optimization, and that's really their customers.

0:25:39.760 --> 0:25:41.720
<v Speaker 7>Sort of dialing back a little.

0:25:41.520 --> 0:25:44.760
<v Speaker 10>Bit in terms of how much cloud usage they're going

0:25:44.840 --> 0:25:49.159
<v Speaker 10>to have with these big providers, and you know, you

0:25:49.640 --> 0:25:52.760
<v Speaker 10>because of that, I think a lot of these Microsoft,

0:25:53.160 --> 0:25:56.600
<v Speaker 10>Meta Amazon, they all pulled back on their own spend

0:25:57.000 --> 0:26:00.119
<v Speaker 10>and I think you saw them see the benefit of

0:26:00.440 --> 0:26:01.879
<v Speaker 10>you know, the lower expenses.

0:26:02.000 --> 0:26:03.400
<v Speaker 7>Especially with Amazon.

0:26:03.480 --> 0:26:07.320
<v Speaker 10>They talked about the lower headcount you know in AWS

0:26:07.440 --> 0:26:10.440
<v Speaker 10>and just you know, fewer engineers there. So I think

0:26:10.480 --> 0:26:12.960
<v Speaker 10>that was a huge positive for them and continue to

0:26:13.040 --> 0:26:15.720
<v Speaker 10>sort of strengthen their overall financial position.

0:26:17.280 --> 0:26:19.800
<v Speaker 6>It may seem premature, but I'm going to do it anyway.

0:26:20.200 --> 0:26:23.000
<v Speaker 6>What does twenty twenty four look like for big tech

0:26:23.040 --> 0:26:23.640
<v Speaker 6>in your mind?

0:26:25.480 --> 0:26:27.240
<v Speaker 10>You know a lot of it is going to depend

0:26:27.400 --> 0:26:30.320
<v Speaker 10>on the overall macro environment. But I think it is

0:26:30.520 --> 0:26:35.800
<v Speaker 10>difficult to you know, slow down the impact of AI

0:26:36.520 --> 0:26:40.600
<v Speaker 10>and you know, cloud is still relatively early and it's journey.

0:26:40.920 --> 0:26:43.880
<v Speaker 10>There's still workloads that need to migrate to the cloud,

0:26:44.240 --> 0:26:45.760
<v Speaker 10>and it's just going to accelerate.

0:26:45.880 --> 0:26:46.920
<v Speaker 7>I think because of AI.

0:26:47.840 --> 0:26:50.879
<v Speaker 10>You know, twenty twenty four will be determined by you know,

0:26:51.080 --> 0:26:54.159
<v Speaker 10>other factors other than just AI. But I think a

0:26:54.200 --> 0:26:56.840
<v Speaker 10>lot of these companies can whether through that over the

0:26:56.920 --> 0:26:57.360
<v Speaker 10>long term.

0:26:58.119 --> 0:27:00.280
<v Speaker 3>The reason why you're such a group group for to

0:27:00.320 --> 0:27:02.360
<v Speaker 3>have on is not only how you're having to navigate

0:27:02.440 --> 0:27:06.400
<v Speaker 3>what I think Wealth Enhancement Group has thousands, forty nine

0:27:06.560 --> 0:27:09.520
<v Speaker 3>thousand households of wealthy individuals that you're helping manage their money,

0:27:09.600 --> 0:27:13.000
<v Speaker 3>but your relationship having build up all the research analysis

0:27:13.040 --> 0:27:14.960
<v Speaker 3>and they're moving into portfolio management. You've got a whole

0:27:15.000 --> 0:27:18.080
<v Speaker 3>host of tech companies that you own, Io Cohen, are

0:27:18.160 --> 0:27:20.199
<v Speaker 3>there any that are overlooked or how do you think

0:27:20.240 --> 0:27:22.280
<v Speaker 3>about the Kathy Woods of this world that feel that

0:27:22.680 --> 0:27:24.720
<v Speaker 3>in videos and some of the big cap names just

0:27:24.800 --> 0:27:26.679
<v Speaker 3>too obvious when it comes to the aiplay.

0:27:28.600 --> 0:27:28.879
<v Speaker 4>Sure.

0:27:29.000 --> 0:27:31.639
<v Speaker 10>I mean we like a lot of the sort of

0:27:31.960 --> 0:27:36.320
<v Speaker 10>value oriented tech names as well. Oracles been in that

0:27:36.920 --> 0:27:39.640
<v Speaker 10>space as well, and Oracle has been talked about their

0:27:39.760 --> 0:27:42.720
<v Speaker 10>cloud evolution has really come a long way.

0:27:43.560 --> 0:27:46.680
<v Speaker 7>And so there are other names outside of just the

0:27:47.040 --> 0:27:48.320
<v Speaker 7>big megacat tech that.

0:27:48.400 --> 0:27:52.240
<v Speaker 10>We like Accenture is another name that we like in

0:27:52.359 --> 0:27:56.119
<v Speaker 10>the space in technology. They have consultants who are going

0:27:56.200 --> 0:28:00.240
<v Speaker 10>to help all of these companies adopt newer technologies like

0:28:00.359 --> 0:28:04.040
<v Speaker 10>AI and so you know there there are other technology

0:28:04.160 --> 0:28:08.440
<v Speaker 10>names outside of just the big five that we constantly

0:28:08.520 --> 0:28:09.040
<v Speaker 10>talk about.

0:28:09.040 --> 0:28:14.440
<v Speaker 6>It wouldn't be a week if we didn't speak FED speak,

0:28:14.680 --> 0:28:17.720
<v Speaker 6>and you know, for our global audience and Bloomberg Technology,

0:28:18.320 --> 0:28:21.960
<v Speaker 6>just give your perspective on why rates and the FED

0:28:22.040 --> 0:28:26.640
<v Speaker 6>and the outlook for rates influences your decision about your

0:28:26.960 --> 0:28:29.919
<v Speaker 6>allocation to technology names in a portfolio.

0:28:31.320 --> 0:28:33.280
<v Speaker 10>It's a great question, ed. You know, we get this

0:28:33.400 --> 0:28:35.440
<v Speaker 10>a lot, and you know, why do we focus so

0:28:35.560 --> 0:28:38.200
<v Speaker 10>much on the FED and interest rates? And I go

0:28:38.360 --> 0:28:42.200
<v Speaker 10>back to just sort of valuation one O one discounted

0:28:42.280 --> 0:28:45.200
<v Speaker 10>cash flows. You know, you have to use the risk

0:28:45.320 --> 0:28:47.840
<v Speaker 10>free rate, which tends to be the ten year, right,

0:28:48.000 --> 0:28:50.840
<v Speaker 10>so the tenure treasury rate, and what we see there

0:28:51.080 --> 0:28:53.080
<v Speaker 10>is what's used in order to discount all of those

0:28:53.160 --> 0:28:55.800
<v Speaker 10>long term cash flows back to the present. And that's

0:28:55.880 --> 0:28:59.120
<v Speaker 10>why there's such a huge focus on what the FED

0:28:59.200 --> 0:29:02.080
<v Speaker 10>will do and how the treasury curve will.

0:29:02.080 --> 0:29:03.920
<v Speaker 7>React to FED action.

0:29:04.560 --> 0:29:07.720
<v Speaker 10>So yes, it is something that we continuously talk about

0:29:07.800 --> 0:29:12.120
<v Speaker 10>but it impacts not just tech valuations, but valuations across

0:29:12.200 --> 0:29:15.440
<v Speaker 10>the board, inequities as well as real estate and other markets.

0:29:15.800 --> 0:29:18.360
<v Speaker 3>IACO great to have some time with you, Iico Yeshioka

0:29:18.720 --> 0:29:21.040
<v Speaker 3>of Wealth Enhancement Group. We thank you coming to us

0:29:21.040 --> 0:29:23.440
<v Speaker 3>from LA. Meanwhile, no, we're going to keep on talking

0:29:23.440 --> 0:29:26.920
<v Speaker 3>about AI and indeed how machine learning can have kind

0:29:26.960 --> 0:29:29.520
<v Speaker 3>of major impact on how companies and governments handle climate

0:29:29.640 --> 0:29:33.120
<v Speaker 3>change questions since Witherspoon, head of Climate and Sustainability of

0:29:33.320 --> 0:29:36.880
<v Speaker 3>Google deep Mind, spoke about it the use cases in particular,

0:29:37.240 --> 0:29:39.760
<v Speaker 3>but also it's orangines and gaming take listen.

0:29:41.280 --> 0:29:42.960
<v Speaker 11>Go was a really offha Go was a system that

0:29:43.040 --> 0:29:46.920
<v Speaker 11>we developed that hopefully folks are familiar with. But games

0:29:47.080 --> 0:29:50.800
<v Speaker 11>are a really interesting place to test AI because they

0:29:50.880 --> 0:29:56.360
<v Speaker 11>have very clear goals, success metrics, clear benchmarks, and the

0:29:56.640 --> 0:29:58.760
<v Speaker 11>end lots of data. And so that's the kind of

0:29:58.840 --> 0:30:01.520
<v Speaker 11>system that is really interesting for AI because it's a

0:30:01.560 --> 0:30:04.120
<v Speaker 11>perfect test bed. And one of the things that was

0:30:04.160 --> 0:30:06.360
<v Speaker 11>really interesting about Alpha Go is that even though it's

0:30:06.400 --> 0:30:09.640
<v Speaker 11>a game we've been playing for hundreds of years, using

0:30:09.680 --> 0:30:13.000
<v Speaker 11>an AI system actually taught us new information that we

0:30:13.120 --> 0:30:17.120
<v Speaker 11>didn't know about the game. Before, and we've really expanded

0:30:17.520 --> 0:30:20.840
<v Speaker 11>this idea into other systems like Alpha fold. For instance.

0:30:21.240 --> 0:30:25.560
<v Speaker 11>Alpha fold is a system that takes in amino acid

0:30:25.640 --> 0:30:32.000
<v Speaker 11>sequences and tells us how proteins are folded. We developed

0:30:32.000 --> 0:30:34.840
<v Speaker 11>a database that basically works like Google Search for proteins,

0:30:35.840 --> 0:30:38.400
<v Speaker 11>and we were able to give that to the research

0:30:38.440 --> 0:30:42.040
<v Speaker 11>community in order to further their research. So if you

0:30:42.160 --> 0:30:46.800
<v Speaker 11>look at kind of the development of systems like alpha fold,

0:30:47.120 --> 0:30:50.040
<v Speaker 11>you can see that some of the scientists that might

0:30:50.160 --> 0:30:54.360
<v Speaker 11>use that would understand proteins, for instance, if they're engineering enzymes.

0:30:54.720 --> 0:30:57.280
<v Speaker 11>We actually do work with a partner who is looking

0:30:57.400 --> 0:31:01.440
<v Speaker 11>into enzymes that biodietegrade plastics and are able to do

0:31:01.560 --> 0:31:03.680
<v Speaker 11>their work more quickly because they have access to the

0:31:03.760 --> 0:31:05.240
<v Speaker 11>library that Alpha fold provides.

0:31:05.480 --> 0:31:07.680
<v Speaker 8>Deep Mind CEO is a big guitar you fan, so

0:31:08.320 --> 0:31:09.960
<v Speaker 8>stories let your kids play video games.

0:31:10.040 --> 0:31:11.760
<v Speaker 12>I mean the answer to how do you go from

0:31:12.040 --> 0:31:14.680
<v Speaker 12>Alpha go to climate science is where you just go

0:31:14.880 --> 0:31:18.600
<v Speaker 12>via you know, two hundred million protein Yeah, you know

0:31:18.680 --> 0:31:20.560
<v Speaker 12>which is which is which is great? So you know

0:31:21.400 --> 0:31:23.440
<v Speaker 12>in the episode that you are in next month, we

0:31:23.800 --> 0:31:26.400
<v Speaker 12>take a very global view because it's a global show,

0:31:26.600 --> 0:31:28.600
<v Speaker 12>but we're here in the UK with.

0:31:28.720 --> 0:31:30.960
<v Speaker 4>Our fantastic climate and weather.

0:31:31.120 --> 0:31:33.000
<v Speaker 2>You know, it's lovely today.

0:31:34.280 --> 0:31:36.720
<v Speaker 12>So can you tell us about something you've done here,

0:31:38.000 --> 0:31:41.200
<v Speaker 12>that you've been, that you've seen and that is going

0:31:41.240 --> 0:31:42.240
<v Speaker 12>to excite everybody.

0:31:42.840 --> 0:31:45.880
<v Speaker 11>Yeah, we'll talk about the weather, since the UK loves

0:31:45.920 --> 0:31:48.680
<v Speaker 11>talking about especially rainfall, so maybe i'll go with that example.

0:31:49.160 --> 0:31:52.040
<v Speaker 11>We did a partnership with the Met Office, particularly working

0:31:52.080 --> 0:31:54.800
<v Speaker 11>with some of their expert meteorologists looking at heavy rainfall

0:31:54.840 --> 0:31:59.120
<v Speaker 11>because heavy rainfall is what causes damage to people and property,

0:31:59.600 --> 0:32:02.280
<v Speaker 11>and so we developed a system that was a generative

0:32:02.320 --> 0:32:04.520
<v Speaker 11>AI system so effectively you can think about it, you

0:32:04.520 --> 0:32:06.680
<v Speaker 11>know when you look at the weather and you see

0:32:06.920 --> 0:32:09.040
<v Speaker 11>those you know, beautiful pictures on screen with lots of

0:32:09.120 --> 0:32:11.480
<v Speaker 11>colors of like where where rain is going to happen,

0:32:11.680 --> 0:32:13.040
<v Speaker 11>like where it's going to be heavy, where it's going

0:32:13.080 --> 0:32:14.600
<v Speaker 11>to be light, how it's going to move throughout the UK.

0:32:15.480 --> 0:32:18.560
<v Speaker 11>And we basically fed that radar data to our system

0:32:19.280 --> 0:32:22.600
<v Speaker 11>and it watched it like a movie effectively and predicted

0:32:22.680 --> 0:32:24.880
<v Speaker 11>the next frame. So we were able to This is

0:32:24.920 --> 0:32:28.720
<v Speaker 11>something we call precipitation now casting, so it's the forecasting

0:32:29.040 --> 0:32:31.080
<v Speaker 11>for two hours ahead of time, so very short term

0:32:31.160 --> 0:32:31.959
<v Speaker 11>for forecasting.

0:32:32.360 --> 0:32:33.880
<v Speaker 13>And we worked with the Met Office to do this.

0:32:33.960 --> 0:32:37.880
<v Speaker 11>They were an incredible partner because actually ninety nine percent

0:32:37.920 --> 0:32:40.320
<v Speaker 11>of the country here in the UK is covered by

0:32:40.440 --> 0:32:41.200
<v Speaker 11>the radar data.

0:32:42.760 --> 0:32:46.600
<v Speaker 6>That was Sims Witherspoon, Climate and Sustainability lead at Google

0:32:46.680 --> 0:32:48.960
<v Speaker 6>Deep Mind and now come out here on Bloomberg Technology

0:32:49.080 --> 0:32:53.440
<v Speaker 6>ion CUE shift into commercialization is fully underway. We're going

0:32:53.480 --> 0:32:56.920
<v Speaker 6>to talk it to the CEO, Peter Chapman, about recent partnership,

0:32:57.040 --> 0:32:59.720
<v Speaker 6>some departures and one roller coaster.

0:33:00.800 --> 0:33:02.680
<v Speaker 4>This has been bot Technology.

0:33:11.400 --> 0:33:14.600
<v Speaker 3>Quantum computing company ion Q, when it's placing some big

0:33:14.680 --> 0:33:17.320
<v Speaker 3>bets on it shift into national security. How Q is

0:33:17.320 --> 0:33:19.800
<v Speaker 3>actually teaming up with the US Air Force Research Lab

0:33:20.040 --> 0:33:23.320
<v Speaker 3>to develop and apply quantum systems. Now, this news comes

0:33:23.400 --> 0:33:25.200
<v Speaker 3>in the wake of the co found at Chris Monroe's

0:33:25.200 --> 0:33:27.640
<v Speaker 3>departure from the company. Now all of this rattle the

0:33:27.640 --> 0:33:30.040
<v Speaker 3>stock and we want to really get clarity the picture

0:33:30.080 --> 0:33:32.960
<v Speaker 3>forward with none other than well the CEO Peter Chapman,

0:33:33.000 --> 0:33:35.240
<v Speaker 3>who joins us. Now and Peter, going back to basics,

0:33:35.320 --> 0:33:37.640
<v Speaker 3>like your aim at the company is to build the

0:33:37.760 --> 0:33:40.800
<v Speaker 3>best quantum computers and basically solve some of the most

0:33:40.800 --> 0:33:41.920
<v Speaker 3>complex tasks out of there.

0:33:41.960 --> 0:33:44.800
<v Speaker 5>You came out of universities, out of the labs into

0:33:44.800 --> 0:33:47.320
<v Speaker 5>the real world. But your chief science officer is sort of.

0:33:47.360 --> 0:33:49.560
<v Speaker 3>Going back into the labs, back into the research, back

0:33:49.600 --> 0:33:52.440
<v Speaker 3>into the universities. And some analysts are saying, look, they're

0:33:52.440 --> 0:33:55.160
<v Speaker 3>worried about the timing and the reasoning. Explain the timing

0:33:55.200 --> 0:33:56.000
<v Speaker 3>and the reasoning for us.

0:33:56.680 --> 0:33:56.880
<v Speaker 8>Yeah.

0:33:56.960 --> 0:33:57.160
<v Speaker 10>Sure.

0:33:58.280 --> 0:34:03.160
<v Speaker 14>So the company was co founded by two college professors

0:34:03.560 --> 0:34:07.800
<v Speaker 14>originally from the University of Maryland and Duke, although both

0:34:07.840 --> 0:34:14.200
<v Speaker 14>are today at Duke University. They in Chris's case, he

0:34:14.320 --> 0:34:21.399
<v Speaker 14>still teaches classes at Duke and they run Duke's Quantum Lab,

0:34:21.680 --> 0:34:25.600
<v Speaker 14>which is a significant undertaking unto itself. And we have

0:34:25.760 --> 0:34:29.640
<v Speaker 14>a relationship with Duke University where the work that they

0:34:29.920 --> 0:34:36.279
<v Speaker 14>do there, funded by the government, is exclusively licensed and

0:34:36.400 --> 0:34:42.160
<v Speaker 14>royalty free to the company. So Chris is going back

0:34:42.239 --> 0:34:47.879
<v Speaker 14>to Duke University to lead that program. But the relationship

0:34:47.960 --> 0:34:51.400
<v Speaker 14>between Duke and and Chris is really not It's not

0:34:51.600 --> 0:34:54.800
<v Speaker 14>changed in any way, shape or form. Chris would be

0:34:54.880 --> 0:34:58.000
<v Speaker 14>the first one to tell you that the physics for

0:34:58.200 --> 0:35:01.919
<v Speaker 14>what it is that we're doing was solved long, long ago.

0:35:02.400 --> 0:35:05.239
<v Speaker 14>If you'll go back and listen to Chris, you know,

0:35:05.360 --> 0:35:08.600
<v Speaker 14>from several years ago, you will find tapes where he

0:35:08.760 --> 0:35:12.840
<v Speaker 14>says exactly that where the company is today is no

0:35:12.960 --> 0:35:17.759
<v Speaker 14>longer about academic research. It's not about fundamental physics. And

0:35:17.880 --> 0:35:21.120
<v Speaker 14>that's actually quite a difference between I and Q and

0:35:21.239 --> 0:35:24.080
<v Speaker 14>many of our kind of competitors. They're still working on

0:35:24.760 --> 0:35:29.680
<v Speaker 14>fundamental physics sometimes, you know, and we're we're not. We're

0:35:29.719 --> 0:35:34.520
<v Speaker 14>actually migrating out of an academic phase and now into

0:35:34.560 --> 0:35:38.239
<v Speaker 14>an engineering and product phase, and so we're in the

0:35:38.280 --> 0:35:40.919
<v Speaker 14>middle of that transition, Peter.

0:35:41.000 --> 0:35:43.759
<v Speaker 6>One of the analysts that that Caroline reference was Benchmark's

0:35:43.800 --> 0:35:47.000
<v Speaker 6>David Williams, and he basically says that the timing and

0:35:47.120 --> 0:35:52.080
<v Speaker 6>motivation of Chris's departure is curious. Just on the timing part,

0:35:53.160 --> 0:35:56.800
<v Speaker 6>could you just explain why now, why the process that

0:35:56.840 --> 0:35:59.120
<v Speaker 6>you just outlined is being announced this week?

0:36:00.080 --> 0:36:02.439
<v Speaker 14>Well, I think I'm not sure I'd want to speak

0:36:02.480 --> 0:36:05.840
<v Speaker 14>for Chris, but I think there's a number of likely factors.

0:36:06.160 --> 0:36:08.400
<v Speaker 14>One is, he did state that he wants to go

0:36:08.560 --> 0:36:13.120
<v Speaker 14>back to his academic roots. He seems to enjoy that,

0:36:13.360 --> 0:36:16.319
<v Speaker 14>and and that's exactly what it is that he's doing.

0:36:17.760 --> 0:36:22.840
<v Speaker 14>The other aspects just in terms I think you know,

0:36:23.000 --> 0:36:29.160
<v Speaker 14>the companies often outgrow their founders. The You know, we're

0:36:29.200 --> 0:36:32.160
<v Speaker 14>at a place today where it's no longer an academic endeavor.

0:36:32.760 --> 0:36:37.360
<v Speaker 14>It really is a engineering and product based endeavor. And

0:36:37.440 --> 0:36:41.600
<v Speaker 14>I think that the Chris felt that his skill set

0:36:41.840 --> 0:36:44.160
<v Speaker 14>is better in the academic.

0:36:43.800 --> 0:36:44.200
<v Speaker 4>Side of it.

0:36:45.160 --> 0:36:48.239
<v Speaker 3>So let's talk about the application of the technology now, Peter,

0:36:48.400 --> 0:36:49.600
<v Speaker 3>where do you feel.

0:36:49.360 --> 0:36:52.840
<v Speaker 5>The reward of your investors? Start to push in on.

0:36:52.960 --> 0:36:56.360
<v Speaker 3>We were just talking about applications in national security for example.

0:36:57.160 --> 0:36:57.359
<v Speaker 4>Yep.

0:36:58.440 --> 0:37:02.200
<v Speaker 14>So we're just on the verge of We just announced

0:37:02.400 --> 0:37:05.880
<v Speaker 14>just recently a news system which is going to have

0:37:07.080 --> 0:37:13.040
<v Speaker 14>enough we call them algorithmic cubits sixty four algorithmic cubits,

0:37:13.640 --> 0:37:16.960
<v Speaker 14>and this will allow you to explore our computational space

0:37:17.520 --> 0:37:20.719
<v Speaker 14>of two to the sixty four in parallel and so

0:37:21.239 --> 0:37:29.160
<v Speaker 14>two to the sixty four is eighteen quintillion different possibilities

0:37:29.280 --> 0:37:33.080
<v Speaker 14>states in a single instruction in a fraction of a second,

0:37:33.239 --> 0:37:36.640
<v Speaker 14>similar to the instruction speeds you have on your laptop.

0:37:37.320 --> 0:37:41.640
<v Speaker 14>This will allow now applications to be developed which can

0:37:41.719 --> 0:37:45.719
<v Speaker 14>take on the world's largest supercomputers. Quantum is not good

0:37:45.800 --> 0:37:49.480
<v Speaker 14>for everything. It strangely has a tough time adding one

0:37:49.560 --> 0:37:52.600
<v Speaker 14>plus one, and at the same time, maybe is good

0:37:52.719 --> 0:37:57.320
<v Speaker 14>for solving differential equations. In terms of applications that we

0:37:57.640 --> 0:38:01.759
<v Speaker 14>have seen so far, machine learning is certainly one area

0:38:01.840 --> 0:38:06.320
<v Speaker 14>where quantum seems to have a huge advantage. My guess

0:38:06.360 --> 0:38:09.880
<v Speaker 14>would be that strong AI will be another area. The

0:38:10.000 --> 0:38:14.760
<v Speaker 14>original premise of quantum is that exploring the natural world,

0:38:15.400 --> 0:38:19.279
<v Speaker 14>which is not digital, it's not analog, it's quantum, is

0:38:19.320 --> 0:38:21.520
<v Speaker 14>that you need a quantum computer to be able to

0:38:21.800 --> 0:38:26.319
<v Speaker 14>model mother nature. So you know, it has been thought

0:38:26.400 --> 0:38:31.240
<v Speaker 14>that at about ninety six good enough cubits, algorithmic cubits,

0:38:31.640 --> 0:38:36.160
<v Speaker 14>you could model the photosynthesis and be able to unlock

0:38:36.280 --> 0:38:40.919
<v Speaker 14>how plants can turn sunlight into energy, and that would

0:38:41.000 --> 0:38:44.640
<v Speaker 14>produce the next generation of solar cells that would be

0:38:44.719 --> 0:38:48.760
<v Speaker 14>four times more efficient than what they are today.

0:38:49.800 --> 0:38:52.640
<v Speaker 6>Peter, much of our global audience does think in floating

0:38:52.960 --> 0:38:55.400
<v Speaker 6>point operations the second that are just unimaginable as the

0:38:55.480 --> 0:38:59.240
<v Speaker 6>human brain. But just quickly, in a layman's perspective, explain

0:38:59.320 --> 0:39:01.800
<v Speaker 6>what's proprie tree about your technology quickly.

0:39:02.760 --> 0:39:06.080
<v Speaker 14>So what we do is we use atomic clocks. Actually

0:39:06.200 --> 0:39:10.520
<v Speaker 14>have one of them here, and it's a chip which

0:39:10.600 --> 0:39:13.320
<v Speaker 14>is sitting in a little vacuum chamber, and it's using

0:39:14.920 --> 0:39:18.200
<v Speaker 14>thirty two to sixty four atoms, and it uses those

0:39:18.239 --> 0:39:23.600
<v Speaker 14>atoms for computation. And what's unusual about it is that

0:39:23.680 --> 0:39:26.640
<v Speaker 14>it can run at room temperature. We're down at point

0:39:26.760 --> 0:39:31.160
<v Speaker 14>zero two nanometers, so you know, the standard silicon at

0:39:31.200 --> 0:39:34.239
<v Speaker 14>seven nanometers is way up from where we are. And

0:39:34.400 --> 0:39:38.080
<v Speaker 14>we use white to program the atoms. We shine little

0:39:38.160 --> 0:39:41.040
<v Speaker 14>lasers onto these atoms and put a spin on them

0:39:41.400 --> 0:39:44.400
<v Speaker 14>and entangle them to be able to do the computation.

0:39:45.880 --> 0:39:48.680
<v Speaker 6>All right, Pizza Chapman, CEO, I Cut, thank you very

0:39:48.800 --> 0:39:49.399
<v Speaker 6>much for your time.

0:39:58.280 --> 0:40:04.719
<v Speaker 13>It's official. Tailor's is a billionaire. Welcome to the Aristour.

0:40:05.239 --> 0:40:09.160
<v Speaker 13>Her Aristour alone is a party generating hundreds of millions

0:40:09.200 --> 0:40:12.799
<v Speaker 13>of dollars. It's a multinational conglomerate with the world's most

0:40:12.880 --> 0:40:18.200
<v Speaker 13>devoted customer base and an ultra charismatic CEO. Swift has

0:40:18.239 --> 0:40:22.640
<v Speaker 13>made her fortune almost exclusively from her music. Bloomberg estimates

0:40:22.640 --> 0:40:25.160
<v Speaker 13>Swift has made one hundred and twenty five million dollars

0:40:25.200 --> 0:40:26.640
<v Speaker 13>over the years from record sales.

0:40:27.320 --> 0:40:30.440
<v Speaker 1>We estimate that her total income from streaming is one

0:40:30.520 --> 0:40:31.680
<v Speaker 1>hundred and seventy five million.

0:40:31.880 --> 0:40:35.680
<v Speaker 13>The biggest part of our earnings is undoubtedly her concert revenue.

0:40:36.120 --> 0:40:38.720
<v Speaker 1>We estimated that Taylor, and that's about thirty five percent

0:40:38.960 --> 0:40:42.040
<v Speaker 1>of the ticket sales. Is profit about five hundred million

0:40:42.200 --> 0:40:43.880
<v Speaker 1>from touring over the years.

0:40:44.600 --> 0:40:48.280
<v Speaker 13>Her tours, her record sales, and streaming royalties are all earnings,

0:40:48.480 --> 0:40:51.480
<v Speaker 13>but she also has assets, including her recording catalog.

0:40:52.360 --> 0:40:55.160
<v Speaker 1>We estimate that her catalog is worth about four hundred million.

0:40:55.680 --> 0:40:58.360
<v Speaker 13>Then, of course there's her actual property.

0:40:59.280 --> 0:41:03.360
<v Speaker 1>That include a condo in the state in Nashville, in

0:41:03.440 --> 0:41:07.680
<v Speaker 1>a state in Los Angeles, a large apartment in Tribeca

0:41:07.800 --> 0:41:10.840
<v Speaker 1>in New York City, as well as a summer house

0:41:10.920 --> 0:41:14.239
<v Speaker 1>in Rhode Island. The total value of her properties is

0:41:14.239 --> 0:41:15.560
<v Speaker 1>about one hundred and ten billion.

0:41:17.360 --> 0:41:21.400
<v Speaker 13>Subtract her expenses, taxes, staff costs, and so on, and

0:41:21.520 --> 0:41:25.919
<v Speaker 13>you get a net worth of one point one billion dollars.

0:41:30.960 --> 0:41:33.440
<v Speaker 6>Some reporting from the Bloomberg Big Tight team there on

0:41:33.520 --> 0:41:36.880
<v Speaker 6>Swift's influence, reach and wealth and Karen never in her

0:41:37.000 --> 0:41:39.640
<v Speaker 6>wildest dreams, which she probably thinks she'd be where she.

0:41:39.760 --> 0:41:42.000
<v Speaker 5>Is now, Well never know. She might have thought that

0:41:42.040 --> 0:41:44.160
<v Speaker 5>from very young, age ed, big ambious man.

0:41:44.320 --> 0:41:47.000
<v Speaker 3>But what's so interesting is, well, maybe her success isn't

0:41:47.040 --> 0:41:50.239
<v Speaker 3>always paying off completely. To Universal Music Group, of course,

0:41:50.400 --> 0:41:53.400
<v Speaker 3>she is the biggest seller in terms of artists, but

0:41:53.440 --> 0:41:57.200
<v Speaker 3>actually their numbers came out amsonam based company and actually underwhelmed.

0:41:57.239 --> 0:42:00.480
<v Speaker 3>They saw a lot of growth but did missanish estimate overall,

0:42:00.560 --> 0:42:04.160
<v Speaker 3>but Midnight album the release was the biggest impact and

0:42:04.280 --> 0:42:06.640
<v Speaker 3>indeed perhaps she's outformed too much in previous years.

0:42:07.200 --> 0:42:08.560
<v Speaker 5>That's it from Bloomberg Technology.

0:42:09.680 --> 0:42:12.080
<v Speaker 6>Check out the podcast wherever you get your podcast from

0:42:12.200 --> 0:42:13.000
<v Speaker 6>SF in New York.

0:42:13.239 --> 0:42:14.520
<v Speaker 4>This is Bloomberg Technology.