WEBVTT - Intel Jumps on Recovery, Big Tech Earnings Preview

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<v Speaker 1>From Mahart of We're Innovation, Money and Power.

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<v Speaker 2>Collie in Silicon Vallet NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde.

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<v Speaker 2>And Ed Ludlow.

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<v Speaker 3>Im Ed Ludlow here in San Francisco. Caroline Hyde is

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<v Speaker 3>off today. This is BlueBag Technology. Let's get after it.

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<v Speaker 3>Coming up, Intel surging as it's longer way to come

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<v Speaker 3>back is underway. We're going to break down the company's

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<v Speaker 3>earnings with the CEO, Pat Gelsinger. Plus we're gonna have

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<v Speaker 3>an exclusive interview with the CEO of by Now Pay

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<v Speaker 3>Later company affirm his outlook on fintech and the payment space.

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<v Speaker 3>And we'll push ahead to what's going to be another

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<v Speaker 3>crazy week in tech earnings with Amazon, Apple, and Qualcom

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<v Speaker 3>all reporting next week. We're going to stick with tech

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<v Speaker 3>out this way out West earnings next week include Apple, Amazon,

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<v Speaker 3>and it's been an interesting dynamic where the market is

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<v Speaker 3>so hyped up about AI, but if you look at

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<v Speaker 3>the trading, I think we're kind of focused on some

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<v Speaker 3>of the core businesses of these names.

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<v Speaker 4>Will that be the story next week?

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<v Speaker 3>Let's ask Jonathan Curtis, director of portfolio management for Franklin Equity,

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<v Speaker 3>overseeing nine point five billion dollars in assets under management.

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<v Speaker 4>What do you make of that, Jonathan?

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<v Speaker 3>Investors love AI, but this week it seems like they

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<v Speaker 3>traded on the fundamentals the core business.

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<v Speaker 5>Yeah, well so, certainly there's a lot of excitement and

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<v Speaker 5>appropriately so around AI, but we are in the stage

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<v Speaker 5>of this opportunity that we like to call the experimentation phase.

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<v Speaker 5>Companies are learning about how to use generative AI. They've

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<v Speaker 5>been reorientary, reorienting their product roadmaps to take advantage of AI.

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<v Speaker 5>They're starting to figure out what their customers are going

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<v Speaker 5>to be willing to pay for some of these capabilities.

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<v Speaker 1>But we're not really in the scale at stage.

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<v Speaker 5>We think that's going to come here in the next

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<v Speaker 5>two day, three, maybe four quarters. And the biggest, most

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<v Speaker 5>important thing to be watching there is what platforms like

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<v Speaker 5>Microsoft or Adobe or other companies that have many hundreds

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<v Speaker 5>of millions of users can do when they start putting

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<v Speaker 5>these AI capabilities in their products where hundreds of millions

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<v Speaker 5>of knowledge workers and media creators operate every single day.

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<v Speaker 1>We're quite excited about what that means.

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<v Speaker 5>And how that will put pressure on the underlying infrastructure

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<v Speaker 5>and semi conductor layer and keep the growth going for

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<v Speaker 5>a lot of these companies.

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<v Speaker 3>So we do this every quarter now, track the number

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<v Speaker 3>of times AI as a phrase, a word is.

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<v Speaker 4>Mentioned on an earnings call.

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<v Speaker 3>Do you go through the transcript and say, okay AI

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<v Speaker 3>number one, AI number two.

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<v Speaker 4>I mean, seriously, how much we did do that?

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<v Speaker 5>Yeah, so this past earning cycle, not this current one,

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<v Speaker 5>because we're not completely through it. We did go through

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<v Speaker 5>and count how many references there were to artificial intelligence,

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<v Speaker 5>and then we compared it to references to things like

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<v Speaker 5>mobile back around the launch of the iPhone, because we

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<v Speaker 5>wanted to get a sense for how quickly this was

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<v Speaker 5>dispersing through the economy relative to other big cycles that

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<v Speaker 5>we've seen in the past.

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<v Speaker 3>And why why, Jonathan, they're just words? What do they

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<v Speaker 3>tell you?

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<v Speaker 1>They're not just words?

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<v Speaker 5>Their intentionality And what's important about that intentionality is it

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<v Speaker 5>tells you how much the other sectors outside of the

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<v Speaker 5>outside of tech are gearing up and getting curious about

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<v Speaker 5>this opportunity and ultimately what the big spending is going

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<v Speaker 5>to come. And what's fascinating about the analysis we did

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<v Speaker 5>ninety days ago was that we saw much more dispersion

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<v Speaker 5>for artificial intelligence than we did for mobile back at

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<v Speaker 5>the start of the iPhone cycle, the iPhone opportunity, so

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<v Speaker 5>that gives us a little bit of confidence that this

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<v Speaker 5>could be even bigger than other big cycles we've seen

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<v Speaker 5>in the past.

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<v Speaker 1>Like mobile.

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<v Speaker 3>Jonathan, I want to talk about the semiconductor name. We're

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<v Speaker 3>going to be speaking to Pat Gelsinger in about five

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<v Speaker 3>minutes time, the CEO of Intel. You do not hold Intel,

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<v Speaker 3>but I believe you do hold Nvidia an AMD. Explain

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<v Speaker 3>that thesis to me and why they are the winners

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<v Speaker 3>in AI.

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<v Speaker 5>Yeah, so, certainly Intel's an amazing company. There are funds

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<v Speaker 5>within Franklin that own Intel. They are in the midst

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<v Speaker 5>of a challenging transformation, and they're a little too PC

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<v Speaker 5>centric for our growth needs, and they're in a heavy

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<v Speaker 5>investment stage right now. So we're watching Intel closely. We

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<v Speaker 5>like Nvidia because they're highly aligned with the AI opportunity

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<v Speaker 5>and an incredible mode there. We like AMD because they

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<v Speaker 5>are a share gainer in the server space at the

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<v Speaker 5>expense of Intel. We also like TSMC, which is one

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<v Speaker 5>of Intel's emerging competitors in the fabrication of chips and

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<v Speaker 5>a MD and TSMC and Nvidia and TSMC together are

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<v Speaker 5>really helping set the next stage of growth in the

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<v Speaker 5>semiconductor space, and Intel is just playing catchup quite frankly and.

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<v Speaker 4>As a little two PC centric for our interests PC centric.

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<v Speaker 3>The other area we want to talk about is cloud,

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<v Speaker 3>and we started this conversation Jonathan by pointing out that

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<v Speaker 3>a lot of the trading this week was done on

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<v Speaker 3>core legacy businesses. Abigail mentioned Microsoft, where investors looked at

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<v Speaker 3>the performance of the cloud business from a top line

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<v Speaker 3>growth perspective and weren't as happy.

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<v Speaker 4>What do you see there?

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<v Speaker 5>Well, encouragingly, we are starting to see some of that

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<v Speaker 5>deceleration that we've been seeing in cloud in this post

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<v Speaker 5>COVID era starting to calm down a bit, and in

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<v Speaker 5>fact the deceleration that Microsoft witnessed and into cloud business

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<v Speaker 5>slowed a bit, and encouragingly, we're starting to see the

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<v Speaker 5>real positive impacts from the AI experimentation phase that we're

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<v Speaker 5>in right now, impacting the cloud operators like Microsoft, like Google.

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<v Speaker 5>So we think that we are getting through the optimization

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<v Speaker 5>is post COVID. We are getting into easier comps there

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<v Speaker 5>and now we're starting to see AI become a material

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<v Speaker 5>contributor to these cloud businesses. So we think in our

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<v Speaker 5>broader digital transformation thesis, AI is still misunderstood by investors.

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<v Speaker 5>They don't understand how profound the impacts of this is

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<v Speaker 5>going to be. And then the cloud opportunity is going

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<v Speaker 5>to be a big participant along with AI. But also

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<v Speaker 5>as digital transformation continues, and we're starting to see that stabilization.

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<v Speaker 5>So we're quite encouraged by both what we're seeing in

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<v Speaker 5>AI and in cloud.

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<v Speaker 3>All right, Jonathan Curtis, Franklin Equity Group Director, Report further Strategy.

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<v Speaker 3>Just such a wide ranging conversation, and as we discuss,

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<v Speaker 3>the next big conversation is going to be about the

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<v Speaker 3>chip sector. Thank you very much. Coming up, stay tuned

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<v Speaker 3>because we will sit down with the CEO of Intel,

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<v Speaker 3>Pat Gelsinger.

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<v Speaker 4>The market really.

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<v Speaker 3>Liked what it had to hear about the quarter just

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<v Speaker 3>gone and the outlook for the current quarter, but there

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<v Speaker 3>are long term questions here about Intel returning to a

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<v Speaker 3>position of leadership when it comes to the cutting edge

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<v Speaker 3>of chip manufacturing, chip making technology, and also what is

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<v Speaker 3>the future of this company in the field of AI.

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<v Speaker 3>Pat Gelsinger, Intel CEO coming up next here here in

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<v Speaker 3>San Francisco. This is Bloomberg Technology. I want to welcome

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<v Speaker 3>our global Bloomberg TV and radio audiences. Intel shares are jumping,

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<v Speaker 3>with investors buying into signs that the chip maker's long

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<v Speaker 3>awaited comeback is underway. Intel's forecasting sales in the current

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<v Speaker 3>quarter of thirteen point nine billion dollars, ahead of expectations.

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<v Speaker 4>The company also notched.

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<v Speaker 3>A surprise profit of thirteen censor sharing in the corner

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<v Speaker 3>just gone as a slump in demand for personal computers

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<v Speaker 3>appears to be come into an it's not all good news.

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<v Speaker 3>Serve demand isn't recovering as quickly. The company is still

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<v Speaker 3>a little bit far from its heyday where margins where

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<v Speaker 3>it's sixty percent sales were nearer to twenty billion dollars.

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<v Speaker 3>Even so, joining us now Intel's CEO Pat Gelsinger, You know, Pat,

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<v Speaker 3>this is the second consecutive quarter where investors have cheered

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<v Speaker 3>the earnings results shares her up and I think before

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<v Speaker 3>twenty twenty three, ten out of the eleven earnings prints

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<v Speaker 3>that you had shares fell. Is this job done for

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<v Speaker 3>you in the turnaround at Intel?

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<v Speaker 6>Well, we have a long way to go yet, but boy,

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<v Speaker 6>having two good beaten Ray quarters in a row, you know,

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<v Speaker 6>was a super positive and really I think in the

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<v Speaker 6>KP of that turning point for the company.

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<v Speaker 1>But we still have a lot of work to do yet.

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<v Speaker 6>You know, as we said, our client business as now

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<v Speaker 6>healthy footing. You know, we've returned markers shared to where

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<v Speaker 6>it traditionally was a strong roadmap. You know, the markets recovering,

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<v Speaker 6>inventory levels are good, you know, Data Center, we still

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<v Speaker 6>have work to do, but boy, you know, two quarters

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<v Speaker 6>in a row where we did a bit better than

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<v Speaker 6>we expected, you know, but we still have challenges and

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<v Speaker 6>AI you know, and many of our really good products

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<v Speaker 6>are only.

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<v Speaker 1>Coming to market over the next year. You know.

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<v Speaker 6>Networking is still a lot of inventory to work through,

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<v Speaker 6>and our foundry business is still just a seedling, just

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<v Speaker 6>starting to show some green shoots. So I'll say, boy,

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<v Speaker 6>far from finish, but it is nice bouncing off the

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<v Speaker 6>bottom of a bit.

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<v Speaker 1>And feeling that momentum in the market.

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<v Speaker 3>Response, Pat, why do you have the confidence to kind

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<v Speaker 3>of cool the end of the PC slump and also

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<v Speaker 3>at the same time state that the server recovery is

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<v Speaker 3>delayed to the end of the year.

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<v Speaker 1>Yeah, and the.

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<v Speaker 6>PC side inventory levels are now healthy, right, you know,

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<v Speaker 6>everything that we've seen and a lot of the issues

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<v Speaker 6>that we worked through Q four, Q one and Q

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<v Speaker 6>two were over inventory levels by the OEMs and the channel,

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<v Speaker 6>and now everything is healthy. Our roadmap is very good.

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<v Speaker 6>We've gained share multiple times in a row. I think

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<v Speaker 6>we're now at five out of six quarters where we've

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<v Speaker 6>gained market share. So I just say in the PC

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<v Speaker 6>business healthy, Our position is good, and we're looking forward

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<v Speaker 6>to the AI PC and with our launch of our

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<v Speaker 6>next generation product, meteor Lake later this year. You know,

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<v Speaker 6>we believe that ushers in the AI PC generation and

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<v Speaker 6>I've compared that to like Centrino and Wi Fi, you

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<v Speaker 6>know two decades ago, a major new use case for

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<v Speaker 6>why the PC is the best platform. So we're quite

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<v Speaker 6>excited about that. On the data center side, you know,

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<v Speaker 6>we still saw that, you know, the inventory levels still persist.

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<v Speaker 6>You know, China was weaker than expected. Their recovery is

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<v Speaker 6>going slower. And you know, cyclically we see the shift

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<v Speaker 6>toward AI you know, these big training machines. Every cloud

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<v Speaker 6>vendor is shifting their dollars to more.

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<v Speaker 1>Focus on that.

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<v Speaker 6>So those three things are leading to a bit longer

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<v Speaker 6>recovery cycle.

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<v Speaker 1>On the data center.

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<v Speaker 6>Well, like I said, we performed a bit better than

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<v Speaker 6>we thought on the data center in Q one AM

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<v Speaker 6>Q two. So we're feeling like our momentum and execution

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<v Speaker 6>is rebuilding despite some of those headwinds that are still

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<v Speaker 6>persist in that area.

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<v Speaker 3>For our global TV and radio audience. Here at Bloomberg,

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<v Speaker 3>we're speaking to Pat Elsing at the Intel CEO. Pat,

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<v Speaker 3>you're forecasting gross margin of forty three percent in the

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<v Speaker 3>current period, but it's a long way from that sixty

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<v Speaker 3>percent gross margin level. You know, Wall Street used to

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<v Speaker 3>look at Intel and say sixty percent. You know, they

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<v Speaker 3>cheer you as a leader in that space. Can you

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<v Speaker 3>just explain to our global audience the timeline and path

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<v Speaker 3>to getting back to profit at that level.

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<v Speaker 6>Yeah, and we're working our way back to margins and

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<v Speaker 6>obviously a nice bet in Q two on margins, and

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<v Speaker 6>we forecast Q three a bit better and Q four

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<v Speaker 6>a bit better, you know. And part of it is

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<v Speaker 6>the cyclicality of the semiconductor industry is brutal on margins.

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<v Speaker 6>And when we had an oversupply situation inventory, you know,

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<v Speaker 6>that just depresses margins because you know, the factories cost

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<v Speaker 6>the same whether they're full or whether they're empty, So

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<v Speaker 6>you end up with these charges that you burden the

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<v Speaker 6>price points and depressed margins. We also realize that our

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<v Speaker 6>own product execution has weakened our product position which doesn't

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<v Speaker 6>have asps as strong as well, so that's another factor.

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<v Speaker 6>And the last factor here is, you know, the plan

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<v Speaker 6>that my CFO Dave and I have laid out is

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<v Speaker 6>an expensive plan. We are making aggressive investments to build

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<v Speaker 6>the capacity to get back to leadership and thus we're

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<v Speaker 6>moving through nodes very rapidly. We sat five nodes in

0:12:43.280 --> 0:12:45.640
<v Speaker 6>four years, so that causes us to have a lot

0:12:45.640 --> 0:12:50.559
<v Speaker 6>of undepreciated capacity that we're working through quite aggressively. Also

0:12:50.679 --> 0:12:54.120
<v Speaker 6>building up a bit more capacity for our foundry initiatives.

0:12:54.360 --> 0:12:58.640
<v Speaker 6>So all of those factors depressed margins to historically low

0:12:58.720 --> 0:13:00.720
<v Speaker 6>levels in the first part of the year and we're

0:13:00.720 --> 0:13:04.280
<v Speaker 6>just seeing ourselves now working to build back to margin levels.

0:13:04.400 --> 0:13:07.280
<v Speaker 6>But we're still very confident that as we build our

0:13:07.280 --> 0:13:11.520
<v Speaker 6>foundry business get back to leadership and process and products.

0:13:11.600 --> 0:13:14.000
<v Speaker 6>You know that those kind of margins, that's exactly what

0:13:14.320 --> 0:13:16.600
<v Speaker 6>Dave and I aspire to to the future, and we

0:13:16.679 --> 0:13:19.560
<v Speaker 6>feel like you two was a good marker. You know that, yes,

0:13:19.600 --> 0:13:21.440
<v Speaker 6>we're building momentum to get back there.

0:13:22.400 --> 0:13:25.679
<v Speaker 3>Thank you for joining us here on Bloomberg Television and

0:13:25.800 --> 0:13:31.000
<v Speaker 3>radio worldwide. We're joined by Pat Gelsinger, Intel CEO. You

0:13:31.200 --> 0:13:34.760
<v Speaker 3>described the foundry business as a seedling, but every time

0:13:34.840 --> 0:13:37.960
<v Speaker 3>you and I have spoken, you've hinted that there is

0:13:38.000 --> 0:13:43.640
<v Speaker 3>a big customer waiting in the wings to give life

0:13:43.679 --> 0:13:44.480
<v Speaker 3>to that business.

0:13:44.640 --> 0:13:47.000
<v Speaker 4>What can you tell us about that, Pat.

0:13:47.760 --> 0:13:50.600
<v Speaker 6>Yeah, and we're having good momentum, and as I said

0:13:50.640 --> 0:13:54.240
<v Speaker 6>on the Ernie's call yesterday, we have two big customers

0:13:54.240 --> 0:13:56.600
<v Speaker 6>in particular that we made very good progress over the

0:13:56.640 --> 0:14:00.920
<v Speaker 6>last quarter for our foundry business. We did have one,

0:14:01.000 --> 0:14:04.280
<v Speaker 6>i'll say confirmatory, not as big a customer, but the

0:14:04.400 --> 0:14:07.840
<v Speaker 6>Ericsson announcement their commitment to eighteen A and our next

0:14:07.880 --> 0:14:11.480
<v Speaker 6>generation work with them that we announced this quarter. So

0:14:11.520 --> 0:14:14.640
<v Speaker 6>I'll say overall, we're seeing good momentum and a really

0:14:14.679 --> 0:14:18.079
<v Speaker 6>strong pipeline of customers, and we hope to make meaningful

0:14:18.080 --> 0:14:21.880
<v Speaker 6>announcements later this year on that. We also pointed out

0:14:21.880 --> 0:14:24.440
<v Speaker 6>on our earnings call that now we're seeing a lot

0:14:24.440 --> 0:14:26.640
<v Speaker 6>of interest in our packaging technologies.

0:14:26.680 --> 0:14:28.520
<v Speaker 1>So it isn't just wayfer.

0:14:28.240 --> 0:14:31.400
<v Speaker 6>Manufacturing, it's also package assembly and tests.

0:14:31.400 --> 0:14:33.560
<v Speaker 1>And Intel has long.

0:14:33.320 --> 0:14:37.400
<v Speaker 6>Term been a leader in packaging technologies, and because of

0:14:37.480 --> 0:14:42.040
<v Speaker 6>key areas like high performance computing and AI, there's tremendous

0:14:42.080 --> 0:14:45.640
<v Speaker 6>interest in these advanced packaging technologies, and we're finding a

0:14:45.640 --> 0:14:49.120
<v Speaker 6>lot of customer interest in that incremental area of the

0:14:49.160 --> 0:14:50.400
<v Speaker 6>foundry business as well.

0:14:50.480 --> 0:14:51.600
<v Speaker 1>So overall, you.

0:14:51.520 --> 0:14:53.280
<v Speaker 6>Know, and the numbers were good for us in Q

0:14:53.360 --> 0:14:57.400
<v Speaker 6>two for Foundry, great pipeline of activities, great progress on

0:14:57.480 --> 0:15:00.800
<v Speaker 6>a couple of these most major opportunities. I'm feeling good

0:15:00.840 --> 0:15:03.920
<v Speaker 6>like we're starting to really see that momentum build in

0:15:03.960 --> 0:15:07.600
<v Speaker 6>this new business area for Intel or Intel Foundery services.

0:15:08.520 --> 0:15:12.360
<v Speaker 3>If we think about what a potential customer might be,

0:15:12.480 --> 0:15:15.200
<v Speaker 3>you know, at the scale of Apple, Google or Video,

0:15:15.560 --> 0:15:17.960
<v Speaker 3>what is it that they want from you? What is

0:15:18.000 --> 0:15:19.800
<v Speaker 3>it do you think that you can provide them?

0:15:21.240 --> 0:15:22.880
<v Speaker 1>Yeah? You know, when I view it, you know, we

0:15:22.960 --> 0:15:24.840
<v Speaker 1>have to go through four stages. You know.

0:15:24.920 --> 0:15:28.080
<v Speaker 6>One is are my transistors good? You know, can they

0:15:28.080 --> 0:15:32.440
<v Speaker 6>build good products using Intel? Second is do I have

0:15:32.560 --> 0:15:36.800
<v Speaker 6>the design tools? You know, the cadences and synopsis, c

0:15:36.960 --> 0:15:40.120
<v Speaker 6>das and the IP libraries. Have we gotten all of

0:15:40.160 --> 0:15:42.880
<v Speaker 6>those basics done so that they can design on us?

0:15:43.240 --> 0:15:43.440
<v Speaker 1>You know?

0:15:43.480 --> 0:15:46.320
<v Speaker 6>Then Third, you know, do we have good terms and conditions?

0:15:46.360 --> 0:15:48.840
<v Speaker 6>Are they better off coming to me versus you know,

0:15:49.000 --> 0:15:52.880
<v Speaker 6>TSMC or Samsung as an alternative, And then finally, are

0:15:52.880 --> 0:15:56.760
<v Speaker 6>we customer oriented? Can they really have the support because

0:15:56.800 --> 0:15:59.720
<v Speaker 6>my factory becomes their factory, you know, So we have

0:15:59.760 --> 0:16:02.600
<v Speaker 6>to work through all four of those stages before they're

0:16:02.680 --> 0:16:05.520
<v Speaker 6>ready to commit major businesses to us.

0:16:05.680 --> 0:16:06.760
<v Speaker 1>And that's why it takes a while.

0:16:06.840 --> 0:16:09.800
<v Speaker 6>You know, they got to do designs and tests and pilots,

0:16:09.840 --> 0:16:12.560
<v Speaker 6>and you know, work through the financials, and you know,

0:16:12.600 --> 0:16:15.400
<v Speaker 6>this isn't a mature business area for us. But I'll

0:16:15.440 --> 0:16:18.200
<v Speaker 6>just say we're making great progress, and in particular, you know,

0:16:18.280 --> 0:16:21.160
<v Speaker 6>the two most significant opportunities. It was a really good

0:16:21.240 --> 0:16:24.160
<v Speaker 6>quarter and I'm feeling very optimistic that yes, we'll bring

0:16:24.200 --> 0:16:27.200
<v Speaker 6>them across the line and start to really accomplish what

0:16:27.280 --> 0:16:31.080
<v Speaker 6>we've laid out, you know, with our reshoring and building

0:16:31.120 --> 0:16:32.480
<v Speaker 6>the Western founder.

0:16:32.560 --> 0:16:34.560
<v Speaker 1>And we also had great success.

0:16:34.160 --> 0:16:37.840
<v Speaker 6>With both the EU and the US chipsack this last quarter,

0:16:37.880 --> 0:16:40.960
<v Speaker 6>which are affirming the strong support you know, of the

0:16:41.000 --> 0:16:43.240
<v Speaker 6>Western governments on this strategy.

0:16:43.440 --> 0:16:45.800
<v Speaker 1>It's the right strategy at the right time. We're making

0:16:45.840 --> 0:16:46.520
<v Speaker 1>good progress.

0:16:47.000 --> 0:16:49.080
<v Speaker 3>A big part of your smart capital approach, we have

0:16:49.120 --> 0:16:51.960
<v Speaker 3>to talk about AI. You see, a world in which

0:16:52.040 --> 0:16:55.400
<v Speaker 3>the PC plays a role for localized running of l

0:16:55.520 --> 0:16:58.080
<v Speaker 3>l ms. But what are the use cases that you

0:16:58.160 --> 0:17:04.000
<v Speaker 3>see PAT, The applications PC with AI specific chips is relevant.

0:17:05.119 --> 0:17:08.639
<v Speaker 6>Yeah, you know, to some degree. They're numerous ed. You know,

0:17:08.760 --> 0:17:11.119
<v Speaker 6>let's just give one example. You know, in the future,

0:17:11.160 --> 0:17:13.359
<v Speaker 6>my word processor, you know, I'm going to hit a

0:17:13.359 --> 0:17:15.960
<v Speaker 6>button and say, give me a legal brief that describes this,

0:17:16.240 --> 0:17:18.760
<v Speaker 6>and it's going to get locally generated. You know, my

0:17:19.200 --> 0:17:22.399
<v Speaker 6>video conferencing, my zine, my teams or zooms. I'm going

0:17:22.480 --> 0:17:24.639
<v Speaker 6>to say, you know, give me, you know, real time

0:17:24.800 --> 0:17:29.359
<v Speaker 6>translation across multiple languages, you know, for this meeting, and

0:17:29.440 --> 0:17:31.800
<v Speaker 6>I'm going to have that in real time on my PC.

0:17:32.359 --> 0:17:34.479
<v Speaker 6>You know, my games, you know, for my you know,

0:17:34.520 --> 0:17:37.600
<v Speaker 6>all of that is going to become synthetically generated worlds

0:17:37.720 --> 0:17:41.520
<v Speaker 6>locally on my PC in real time. So we see

0:17:41.520 --> 0:17:45.000
<v Speaker 6>it across creator, across productivity, you know. And as I've said,

0:17:45.040 --> 0:17:47.399
<v Speaker 6>this is sort of like a Wi Fi moment, you know,

0:17:47.520 --> 0:17:50.159
<v Speaker 6>for the PC of the future, and that begins with

0:17:50.200 --> 0:17:53.560
<v Speaker 6>our meteor like launch in the second half of this year.

0:17:54.720 --> 0:17:58.440
<v Speaker 3>PAT quickly a one billion dollar pipeline for AI products

0:17:58.440 --> 0:18:01.320
<v Speaker 3>through twenty twenty four. Just me a sense of the

0:18:01.359 --> 0:18:03.359
<v Speaker 3>pace at which that pipeline is growing.

0:18:03.600 --> 0:18:09.320
<v Speaker 6>Now, Yeah, we had a super exciting quarter. As I said,

0:18:09.320 --> 0:18:12.199
<v Speaker 6>we six sect that pipeline in Q two, so we

0:18:12.240 --> 0:18:14.800
<v Speaker 6>saw a huge uptick on that, you know, and I've

0:18:14.840 --> 0:18:18.879
<v Speaker 6>deployed a lot more sales resources, software resources, you know,

0:18:18.960 --> 0:18:22.399
<v Speaker 6>to jump on those opportunities worldwide. You know, when we

0:18:22.480 --> 0:18:25.640
<v Speaker 6>have our Gouty two chip that is now in volume.

0:18:25.880 --> 0:18:28.119
<v Speaker 6>You know, we've just seen the first wafers on the

0:18:28.160 --> 0:18:30.960
<v Speaker 6>next generation Gouty three, which will be our twenty twenty

0:18:31.000 --> 0:18:33.600
<v Speaker 6>four product, and then we have our twenty five and

0:18:33.640 --> 0:18:35.200
<v Speaker 6>twenty six products underway.

0:18:35.280 --> 0:18:37.600
<v Speaker 1>So you know, we're seeing a lot of momentum there.

0:18:37.800 --> 0:18:40.480
<v Speaker 6>And the world is looking for a great alternative, an

0:18:40.560 --> 0:18:45.080
<v Speaker 6>open alternative, a more cost effective alternative, and Intel is

0:18:45.119 --> 0:18:48.719
<v Speaker 6>a trusted supplier. We think this is a great area

0:18:48.760 --> 0:18:50.679
<v Speaker 6>for us to put a lot of energy into and

0:18:50.680 --> 0:18:52.880
<v Speaker 6>we're seeing the response from the marketplace now.

0:18:54.080 --> 0:18:57.480
<v Speaker 3>Intel CEO Pat Gelsinger, we appreciate your time here on

0:18:57.520 --> 0:18:58.720
<v Speaker 3>Bloomberg TV and radio.

0:18:58.880 --> 0:19:00.360
<v Speaker 4>Thank you, thank you so much.

0:19:00.400 --> 0:19:01.400
<v Speaker 1>Always a pleasure.

0:19:09.480 --> 0:19:10.440
<v Speaker 4>Time for talking tech.

0:19:10.560 --> 0:19:13.800
<v Speaker 3>First up, KLA reported strong earnings for the current period.

0:19:13.800 --> 0:19:17.280
<v Speaker 3>It signals that the chip industry may be nearing a recovery.

0:19:17.359 --> 0:19:20.680
<v Speaker 3>Shares increase around four point five percent in this session,

0:19:20.840 --> 0:19:23.440
<v Speaker 3>but it's unclear how long this upspring will last. Of course,

0:19:23.440 --> 0:19:26.200
<v Speaker 3>it's a sign that chip makers are ready to spend

0:19:26.200 --> 0:19:29.280
<v Speaker 3>on new equipment. Plus, a burning ship near the Netherlands

0:19:29.280 --> 0:19:32.680
<v Speaker 3>has almost five hundred electric cars on board. The cause

0:19:32.720 --> 0:19:34.959
<v Speaker 3>of the blaze still unknown, but the Coast Guard has

0:19:34.960 --> 0:19:37.720
<v Speaker 3>denied reports that the fire broke out in the section

0:19:37.800 --> 0:19:40.240
<v Speaker 3>of the carrier where the electric cars were stored. And finally,

0:19:40.359 --> 0:19:43.560
<v Speaker 3>China has asked its largest tech companies to provide case

0:19:43.560 --> 0:19:47.960
<v Speaker 3>studies of their most successful startup investments. The askers the

0:19:48.040 --> 0:19:51.440
<v Speaker 3>sign authorities are ready to grant them broaderly, way after

0:19:51.480 --> 0:19:54.080
<v Speaker 3>a crackdown that brought them to a virtual halt two

0:19:54.200 --> 0:19:56.439
<v Speaker 3>years ago. All right, coming up, threads, The Twitter like

0:19:56.480 --> 0:19:59.359
<v Speaker 3>app might help bring the center of Internet culture back

0:19:59.400 --> 0:20:00.080
<v Speaker 3>to meta.

0:20:00.200 --> 0:20:02.480
<v Speaker 4>Look at the new app and its potential impact.

0:20:02.720 --> 0:20:17.720
<v Speaker 3>This is Bloomberg Technology. Welcome back to Bloomberg Technology ed

0:20:17.760 --> 0:20:20.840
<v Speaker 3>lovelow here in San Francisco. This week we mentioned the

0:20:20.880 --> 0:20:23.479
<v Speaker 3>idea of everything apps not only for x the company

0:20:23.480 --> 0:20:26.080
<v Speaker 3>formerly known as Twitter, but that conversation now going to

0:20:26.119 --> 0:20:28.960
<v Speaker 3>TikTok as well. Just twenty four hours ago, we spoke

0:20:29.000 --> 0:20:32.600
<v Speaker 3>to metacfo Susanly about the concept of everything apps and

0:20:32.640 --> 0:20:35.800
<v Speaker 3>if Meta would consider itself heading in that direction.

0:20:35.840 --> 0:20:36.760
<v Speaker 4>Here's what she had to say.

0:20:37.440 --> 0:20:40.280
<v Speaker 7>We're really invested in the opportunities that we have ahead

0:20:40.280 --> 0:20:43.760
<v Speaker 7>of us across our family of apps right now, including Threads,

0:20:43.760 --> 0:20:47.000
<v Speaker 7>which is the newest standalone app in our portfolio. And

0:20:47.040 --> 0:20:48.760
<v Speaker 7>then there's just a lot that we can do to

0:20:48.800 --> 0:20:52.080
<v Speaker 7>make the experiences across our family of apps richer and

0:20:52.119 --> 0:20:55.000
<v Speaker 7>more engaging with the investments that we've made already in

0:20:55.080 --> 0:20:59.399
<v Speaker 7>AI and especially recommending content that you don't already follow,

0:20:59.440 --> 0:21:02.879
<v Speaker 7>and we know that that's brought richer content experiences to people,

0:21:03.119 --> 0:21:08.320
<v Speaker 7>is growing engagement across the apps, and we'll release you know,

0:21:08.320 --> 0:21:11.280
<v Speaker 7>we'll be releasing features over the course of the next years.

0:21:11.280 --> 0:21:13.320
<v Speaker 7>But we're really excited about what we think that this

0:21:13.440 --> 0:21:16.000
<v Speaker 7>is going to bring to bear for the consumer experience

0:21:16.080 --> 0:21:19.119
<v Speaker 7>and of course also eventually for businesses to connect with

0:21:19.200 --> 0:21:21.360
<v Speaker 7>consumers across the family of apps too.

0:21:23.000 --> 0:21:24.159
<v Speaker 4>The Everything app.

0:21:24.359 --> 0:21:26.879
<v Speaker 3>Let's break it down with Bloomberg's Alex Brinka, who covers

0:21:26.880 --> 0:21:30.080
<v Speaker 3>the social platforms for US, and Rachel Tippograph, CEO and

0:21:30.080 --> 0:21:33.199
<v Speaker 3>founder of mick Mac, a global e commerce enablement and

0:21:33.280 --> 0:21:36.080
<v Speaker 3>analytics platform for multi channel brands.

0:21:37.040 --> 0:21:39.320
<v Speaker 4>First of all, Rachel, give me.

0:21:39.359 --> 0:21:42.920
<v Speaker 3>Your definition, your definition of an everything app?

0:21:44.760 --> 0:21:46.760
<v Speaker 8>And everything app is a place where I'm going to

0:21:46.800 --> 0:21:49.800
<v Speaker 8>spend the majority of my time to connect with my

0:21:49.840 --> 0:21:54.520
<v Speaker 8>friends and family, be inspired, potentially, do work, start a business,

0:21:54.560 --> 0:21:55.359
<v Speaker 8>and transact.

0:21:57.000 --> 0:22:00.200
<v Speaker 3>So the newspeg this week is X, the everything app.

0:22:00.240 --> 0:22:03.879
<v Speaker 3>It's officially happened. Twitter logo's gone, the Bluebird's gone, we

0:22:03.960 --> 0:22:08.560
<v Speaker 3>have an X, But TikTok and meta is still part

0:22:08.560 --> 0:22:11.840
<v Speaker 3>of this conversation. Do you realistically see a world in

0:22:11.880 --> 0:22:14.399
<v Speaker 3>which we see all three move towards in everything app?

0:22:16.000 --> 0:22:18.560
<v Speaker 8>I think for everything apps to work, we have to

0:22:18.680 --> 0:22:21.560
<v Speaker 8>let go of the notion of wald gardens because to

0:22:21.600 --> 0:22:25.560
<v Speaker 8>be everything you need to integrate with the infrastructure of society.

0:22:26.119 --> 0:22:28.280
<v Speaker 8>So if you want to drive commerce, you need to

0:22:28.280 --> 0:22:32.200
<v Speaker 8>integrate with the biggest players in commerce, Amazon, Target, Walmart,

0:22:32.760 --> 0:22:36.720
<v Speaker 8>payments like PayPal. If you want to integrate into work,

0:22:36.760 --> 0:22:40.000
<v Speaker 8>you got to integrate into Salesforce and Slack and Oracle

0:22:40.080 --> 0:22:40.719
<v Speaker 8>and SAP.

0:22:41.680 --> 0:22:42.920
<v Speaker 4>The approach that the wald.

0:22:42.720 --> 0:22:45.480
<v Speaker 8>Garden apps have taken is, hey, we want to do

0:22:45.640 --> 0:22:47.200
<v Speaker 8>everything ourselves.

0:22:47.960 --> 0:22:49.640
<v Speaker 4>That typically doesn't work out.

0:22:50.240 --> 0:22:52.960
<v Speaker 8>So for everything apps to come to life, there really

0:22:53.000 --> 0:22:55.919
<v Speaker 8>needs to be a partner ecosystem that allows them to

0:22:56.000 --> 0:22:57.560
<v Speaker 8>flourish in everyday life.

0:22:58.760 --> 0:23:00.280
<v Speaker 3>So I want to go back to the metapart of

0:23:00.320 --> 0:23:03.920
<v Speaker 3>this equation, Alex Brinka, You've written a story published on

0:23:03.920 --> 0:23:07.480
<v Speaker 3>Bloomberg this morning. Meta has a rare opportunity to seize

0:23:07.560 --> 0:23:10.280
<v Speaker 3>momentum with threads, and I know you were watching the

0:23:10.280 --> 0:23:14.280
<v Speaker 3>interview with Susan Lee really closely. They're playing down the

0:23:14.400 --> 0:23:18.159
<v Speaker 3>sort of near term monetization of threads. But is that

0:23:18.320 --> 0:23:22.600
<v Speaker 3>the app that represents an opportunity for Meta to broaden

0:23:22.640 --> 0:23:23.440
<v Speaker 3>itself out a bit?

0:23:24.720 --> 0:23:28.560
<v Speaker 9>And the reason I made that argument is because it's

0:23:28.600 --> 0:23:32.359
<v Speaker 9>not just Twitter or the formerly known as Twitter X.

0:23:32.880 --> 0:23:34.800
<v Speaker 9>It's not just x that is kind of the biggest

0:23:34.840 --> 0:23:38.440
<v Speaker 9>competition here for Meta. Even if, as CFO Susan Lee says,

0:23:38.480 --> 0:23:41.480
<v Speaker 9>the Everything app isn't their kind of current focus, it's

0:23:41.560 --> 0:23:45.680
<v Speaker 9>actually TikTok. Meta used to be kind of the king

0:23:45.760 --> 0:23:50.120
<v Speaker 9>maker of Internet culture. Instagram used to really rule the zeitgeist,

0:23:50.320 --> 0:23:53.680
<v Speaker 9>and things that happened online happen there first. Right now,

0:23:53.760 --> 0:23:57.240
<v Speaker 9>TikTok really has that position and That's the argument I

0:23:57.320 --> 0:23:59.440
<v Speaker 9>kind of laid out it in that piece is Meta

0:23:59.440 --> 0:24:02.080
<v Speaker 9>has a rare community here, not to kill Twitter, but

0:24:02.160 --> 0:24:04.520
<v Speaker 9>to actually bring kind of the center of Internet culture

0:24:04.600 --> 0:24:07.920
<v Speaker 9>back to Meta because TikTok, while that is the place

0:24:08.000 --> 0:24:11.040
<v Speaker 9>right now, TikTok's a video platform. Making videos is a

0:24:11.080 --> 0:24:14.639
<v Speaker 9>lot harder than posting text online, so there could be

0:24:14.760 --> 0:24:17.760
<v Speaker 9>this moment of opportunity and Edwhen you and Caroline chatted

0:24:17.800 --> 0:24:20.639
<v Speaker 9>to Susan Lee yesterday, I was really struck when you

0:24:20.680 --> 0:24:23.880
<v Speaker 9>asked her about kind of how you bring that zeitgeist back.

0:24:24.160 --> 0:24:27.600
<v Speaker 9>She went straight to talking about product updates and changes

0:24:27.640 --> 0:24:30.320
<v Speaker 9>to features, which is a little bit different than I

0:24:30.359 --> 0:24:33.320
<v Speaker 9>know that TikTok thinks of itself. They talk about culture

0:24:33.359 --> 0:24:37.480
<v Speaker 9>and bringing creators and you know, music and fashion, and

0:24:37.800 --> 0:24:39.480
<v Speaker 9>it's a little bit of a different flavor. But I

0:24:39.480 --> 0:24:42.560
<v Speaker 9>think it's an important distinction as they continue to figure

0:24:42.560 --> 0:24:46.080
<v Speaker 9>out what threads fits, how threads fits into the meta universe.

0:24:46.640 --> 0:24:49.199
<v Speaker 3>I like the historic dynamic, which is that you know

0:24:49.359 --> 0:24:53.120
<v Speaker 3>what people say right when something's trending on TikTok, your

0:24:53.359 --> 0:24:58.000
<v Speaker 3>parents might see it on reels or Instagram six weeks later.

0:24:58.520 --> 0:25:01.640
<v Speaker 3>So with that in mind, Rachel, you know Alex tried

0:25:01.680 --> 0:25:04.959
<v Speaker 3>to outline Meta's position, which is that they want to

0:25:05.080 --> 0:25:08.040
<v Speaker 3>seize the cultural moment. Do you see that happening or

0:25:08.080 --> 0:25:10.000
<v Speaker 3>do you think TikTok leads in that respect?

0:25:11.560 --> 0:25:15.800
<v Speaker 8>So first to debunk the myth. There are plenty of

0:25:15.880 --> 0:25:18.840
<v Speaker 8>gen X and boomers on TikTok. Nearly fifty percent of

0:25:18.880 --> 0:25:22.040
<v Speaker 8>their users are not millennials and not Gen Z. So

0:25:22.560 --> 0:25:26.240
<v Speaker 8>culture is happening there, but culture is now multi generational

0:25:26.960 --> 0:25:30.680
<v Speaker 8>in terms of TikTok. Yes, it is taking over search,

0:25:30.760 --> 0:25:33.800
<v Speaker 8>which I think is a key indicator that culture is

0:25:33.920 --> 0:25:36.919
<v Speaker 8>moving there. When it comes to Meta, there is a

0:25:37.000 --> 0:25:41.000
<v Speaker 8>huge difference. Meta is an identity service, and because it's

0:25:41.000 --> 0:25:45.080
<v Speaker 8>an identity service, it had an enormous amount of data

0:25:45.160 --> 0:25:48.880
<v Speaker 8>to build a really really robust advertising business on top

0:25:48.920 --> 0:25:53.199
<v Speaker 8>of and move people down the path to purchase. TikTok

0:25:53.600 --> 0:25:56.919
<v Speaker 8>has stayed more upper funnel has focused on consumer engagement.

0:25:56.960 --> 0:26:00.240
<v Speaker 8>They do a great job of that, and now are

0:26:00.320 --> 0:26:03.520
<v Speaker 8>trying to figure out, hey, can we actually steal market

0:26:03.560 --> 0:26:06.639
<v Speaker 8>share from Meta by monetizing the data that we have

0:26:06.680 --> 0:26:09.919
<v Speaker 8>on the platform. How they both use the data, and

0:26:09.960 --> 0:26:13.159
<v Speaker 8>how they've been building advertising businesses and commerce businesses on

0:26:13.240 --> 0:26:16.879
<v Speaker 8>top of each other have differed because of the nature

0:26:16.880 --> 0:26:20.200
<v Speaker 8>of the apps, but Meta, being a center for culture,

0:26:20.320 --> 0:26:22.480
<v Speaker 8>they have yet to demonstrate that they have the ability

0:26:22.520 --> 0:26:23.200
<v Speaker 8>to do that again.

0:26:23.480 --> 0:26:25.719
<v Speaker 3>All right, thanks to Rachel Tippograph and our own an

0:26:25.760 --> 0:26:28.679
<v Speaker 3>It's Brinker, we probably could do a full hour on

0:26:28.800 --> 0:26:30.680
<v Speaker 3>the media social media landscape right now.

0:26:30.680 --> 0:26:42.480
<v Speaker 4>We will have both of you back. Thank you very much. Affirm.

0:26:42.760 --> 0:26:45.639
<v Speaker 3>The popular buy now pay Lata service has gained traction

0:26:45.880 --> 0:26:50.280
<v Speaker 3>in recent years as inflation repressures way on consumer purchasing power.

0:26:50.280 --> 0:26:53.399
<v Speaker 3>With more than sixteen million active customers and more than

0:26:53.400 --> 0:26:56.639
<v Speaker 3>two hundred and forty five thousand merchants, the company as

0:26:56.640 --> 0:27:00.399
<v Speaker 3>a marker for tracking consumer trends across various set is

0:27:00.440 --> 0:27:03.600
<v Speaker 3>now it's expanding its reach in the travel space by

0:27:03.640 --> 0:27:07.480
<v Speaker 3>partnering with airline Cafe Pacific. Very happy to welcome Max

0:27:07.560 --> 0:27:09.920
<v Speaker 3>Leftchin to the show, CEO of a firm and my

0:27:10.040 --> 0:27:12.439
<v Speaker 3>good friend Blimberg's Shnali Basic.

0:27:13.000 --> 0:27:14.840
<v Speaker 10>Thank you Ed, and thank you Max for joining us.

0:27:14.840 --> 0:27:16.439
<v Speaker 10>When you took a look at this deal that you

0:27:16.560 --> 0:27:20.400
<v Speaker 10>just cut with Cathay Pacific, This idea that more airlines,

0:27:20.520 --> 0:27:24.000
<v Speaker 10>more travel is drawing by now pay later options. You

0:27:24.080 --> 0:27:27.480
<v Speaker 10>know it's very expensive to travel right now. How much

0:27:27.840 --> 0:27:31.359
<v Speaker 10>kind of heat is there in the consumer wallet to

0:27:31.520 --> 0:27:35.080
<v Speaker 10>be traveling with these kinds of prices, given kind of

0:27:35.119 --> 0:27:36.560
<v Speaker 10>strains all their wallet right now.

0:27:38.040 --> 0:27:41.439
<v Speaker 11>Well, I think we're still recovering from COVID and the

0:27:41.560 --> 0:27:43.199
<v Speaker 11>need to get out of the house to see the

0:27:43.200 --> 0:27:48.120
<v Speaker 11>world is intense, and prices are absolutely high. We are

0:27:48.160 --> 0:27:52.439
<v Speaker 11>seeing very expensive travel, and yet we're almost at the

0:27:52.520 --> 0:27:53.480
<v Speaker 11>peak of twenty.

0:27:53.400 --> 0:27:55.240
<v Speaker 2>Nineteen, right before the pandemic.

0:27:55.280 --> 0:27:57.880
<v Speaker 11>And so part of a reason for the reason we're

0:27:57.880 --> 0:27:59.560
<v Speaker 11>seeing so much success, so much pick up in the

0:27:59.600 --> 0:28:04.200
<v Speaker 11>travel industry is the airlines cannot do enough to bring

0:28:04.240 --> 0:28:06.960
<v Speaker 11>all these people chance to travel, but it is expensive.

0:28:07.080 --> 0:28:10.760
<v Speaker 11>So being able to afford it and with affirm without lateps,

0:28:10.800 --> 0:28:13.800
<v Speaker 11>without gimmicks, without tricks, is a really powerful sales pitch.

0:28:13.880 --> 0:28:16.360
<v Speaker 10>Well, here's a course partner I have about the airlines

0:28:16.359 --> 0:28:18.640
<v Speaker 10>as well, because if you think about it, the credit

0:28:18.720 --> 0:28:22.440
<v Speaker 10>card companies just reported earnings, they're extending loans like crazy.

0:28:22.800 --> 0:28:25.040
<v Speaker 10>The consumer looks a little stretched when you look at

0:28:25.040 --> 0:28:27.720
<v Speaker 10>how much debt they've taken out. There's a question about

0:28:27.760 --> 0:28:29.920
<v Speaker 10>whether they'll hit a cliff at the end of this year.

0:28:30.280 --> 0:28:31.520
<v Speaker 4>So how much can.

0:28:31.359 --> 0:28:34.720
<v Speaker 10>They really buy now pay later even more to fund

0:28:34.760 --> 0:28:37.160
<v Speaker 10>things that they want to do, go out and buy

0:28:37.280 --> 0:28:40.840
<v Speaker 10>luxury goods, and to take an airplane to Europe.

0:28:42.440 --> 0:28:47.040
<v Speaker 11>I think fundamentally consumers will borrow to meet their goals,

0:28:47.120 --> 0:28:51.320
<v Speaker 11>and my job is to provide a bible, transparent, and

0:28:51.360 --> 0:28:54.760
<v Speaker 11>fundamentally better alternative credit cards. If you see the growth

0:28:54.800 --> 0:28:56.800
<v Speaker 11>of buy now, pay later, you can see that we

0:28:56.920 --> 0:28:59.400
<v Speaker 11>are making a real dent and taking over more and

0:28:59.440 --> 0:29:02.040
<v Speaker 11>more of than consumer or spend. We are absolutely not

0:29:02.440 --> 0:29:05.240
<v Speaker 11>adding to it in terms of incremental debt.

0:29:05.560 --> 0:29:07.400
<v Speaker 2>That is unsustainable as a firm.

0:29:07.520 --> 0:29:10.400
<v Speaker 11>Other players can do other things, but our fundamental design

0:29:10.400 --> 0:29:13.120
<v Speaker 11>criteria is if we don't believe you can pay us back,

0:29:13.520 --> 0:29:16.360
<v Speaker 11>we will not lend you money. That is what's enshrined

0:29:16.440 --> 0:29:19.080
<v Speaker 11>in our design notion of no light fees, no gimmick,

0:29:19.160 --> 0:29:21.560
<v Speaker 11>no tricks. We will not benefit if you cannot pay

0:29:21.600 --> 0:29:24.640
<v Speaker 11>us back. Therefore will only lend if you can.

0:29:27.000 --> 0:29:27.360
<v Speaker 4>Max.

0:29:27.480 --> 0:29:31.160
<v Speaker 3>I understand the technological and cash flow advantage of buying now,

0:29:31.240 --> 0:29:34.680
<v Speaker 3>pay later. My question is what is the limit in

0:29:34.880 --> 0:29:37.320
<v Speaker 3>use cases? So you know an airline ticket can cost

0:29:37.360 --> 0:29:40.240
<v Speaker 3>you a few hundred dollars or a few thousand dollars.

0:29:41.160 --> 0:29:42.960
<v Speaker 3>I wonder what the point is where a firm says,

0:29:42.960 --> 0:29:47.160
<v Speaker 3>you know what we cannot do this, be it you know,

0:29:47.360 --> 0:29:49.960
<v Speaker 3>another luxury item or another product category.

0:29:51.040 --> 0:29:53.400
<v Speaker 11>So one of the advantage of bin now appilator to

0:29:53.440 --> 0:29:56.680
<v Speaker 11>the consumer is that, in particular with a firm, again,

0:29:57.160 --> 0:30:01.440
<v Speaker 11>we evaluate every transaction separately. So every time when you

0:30:01.520 --> 0:30:03.960
<v Speaker 11>choose to use a firm, there is a chance we

0:30:04.000 --> 0:30:06.400
<v Speaker 11>will tell you we think you are over extending yourself.

0:30:06.440 --> 0:30:09.960
<v Speaker 11>It is not financially healthy for you to make this transaction.

0:30:10.080 --> 0:30:13.040
<v Speaker 11>Please to make a larger down payment, don't transact. Find

0:30:13.080 --> 0:30:17.320
<v Speaker 11>something cheaper, and so you will or someone will hear

0:30:17.480 --> 0:30:20.800
<v Speaker 11>that every minute of the day today, and on and on.

0:30:20.960 --> 0:30:24.080
<v Speaker 11>We underwrite every single transaction. That's why our credit results

0:30:24.080 --> 0:30:26.800
<v Speaker 11>have been as strong as they have been. That is

0:30:26.840 --> 0:30:28.880
<v Speaker 11>part of the design, and that's why buy now apailiator

0:30:28.920 --> 0:30:31.320
<v Speaker 11>and a firm in particular is better than credit cards.

0:30:32.880 --> 0:30:33.160
<v Speaker 4>Max.

0:30:33.160 --> 0:30:36.440
<v Speaker 3>Twenty four hours ago, we had Zach Pere, the Plaid CEO,

0:30:36.520 --> 0:30:40.479
<v Speaker 3>on the show, and he talked about using AI in

0:30:40.720 --> 0:30:44.840
<v Speaker 3>assessing credit worthiness and lending. I wondered if you could

0:30:44.840 --> 0:30:47.120
<v Speaker 3>explain to our audience what a firm is doing with

0:30:47.200 --> 0:30:50.880
<v Speaker 3>AIS in its decisions on buy now, Pay later.

0:30:52.200 --> 0:30:54.560
<v Speaker 11>I'll nerd out for a couple of seconds, because I

0:30:54.560 --> 0:30:58.280
<v Speaker 11>think it's important to AI is now this overused umbrella

0:30:58.520 --> 0:31:01.000
<v Speaker 11>term that means everything to every So there's a couple

0:31:01.080 --> 0:31:03.200
<v Speaker 11>of different flavors of machine intelligence.

0:31:03.400 --> 0:31:04.440
<v Speaker 2>Let's call it something neutral.

0:31:04.720 --> 0:31:07.760
<v Speaker 11>There's machine learning, which has been around for quite some time,

0:31:07.920 --> 0:31:11.560
<v Speaker 11>and it is statistical learning all sorts of different terms,

0:31:11.560 --> 0:31:15.000
<v Speaker 11>but what it means is using statistical analysis and more

0:31:15.040 --> 0:31:19.720
<v Speaker 11>sophisticated mathematical techniques to assess ability to repay by looking

0:31:19.760 --> 0:31:20.800
<v Speaker 11>at past trends and data.

0:31:20.800 --> 0:31:22.640
<v Speaker 2>And we use that and have been using it since inception.

0:31:23.080 --> 0:31:26.320
<v Speaker 11>That's where a lot of our underwriting advantage comes from.

0:31:26.880 --> 0:31:31.960
<v Speaker 11>The other more currently exciting, excitable part of machine intelligence

0:31:32.080 --> 0:31:35.560
<v Speaker 11>is generative AI, things like Dolly and open AI and chatbots.

0:31:36.520 --> 0:31:39.440
<v Speaker 11>We do not use that to assess your credits because

0:31:39.520 --> 0:31:41.560
<v Speaker 11>we don't think the technology is mature enough and frankly, it

0:31:41.600 --> 0:31:43.920
<v Speaker 11>wasn't built for that. We do use it for exciting

0:31:43.920 --> 0:31:49.280
<v Speaker 11>things like developer productivity, making more data available internally faster

0:31:49.680 --> 0:31:52.720
<v Speaker 11>through chat interfaces. So there's lots and lots to gain

0:31:53.200 --> 0:31:57.280
<v Speaker 11>from various flavors of machine intelligence, but each tool is

0:31:57.360 --> 0:31:59.400
<v Speaker 11>for a different job, and we've been using it since

0:31:59.560 --> 0:32:00.680
<v Speaker 11>the day we're start the company.

0:32:00.840 --> 0:32:03.280
<v Speaker 10>You know, Max, You think about technology, You think about

0:32:03.640 --> 0:32:06.040
<v Speaker 10>what the PayPal mafia has done, and when it comes

0:32:06.080 --> 0:32:08.880
<v Speaker 10>to payments online, and you have Elon Musk trying to

0:32:08.960 --> 0:32:13.240
<v Speaker 10>expand on this everything app What role is social media

0:32:13.360 --> 0:32:16.080
<v Speaker 10>going to be playing in payments ultimately and how long

0:32:16.120 --> 0:32:17.080
<v Speaker 10>will it take to get there.

0:32:18.640 --> 0:32:20.960
<v Speaker 11>I think social media has already emerged as kind of

0:32:20.960 --> 0:32:24.200
<v Speaker 11>the next shopping format. We're all sort of swiping up

0:32:24.240 --> 0:32:27.400
<v Speaker 11>on Instagram and TikTok and on and on, and we

0:32:27.400 --> 0:32:29.680
<v Speaker 11>see a beautiful thing warn't by a beautiful person. Sometimes

0:32:29.720 --> 0:32:32.640
<v Speaker 11>we want to buy it. I think again, not to

0:32:32.640 --> 0:32:35.000
<v Speaker 11>serve food my own horm too much. A firm brings

0:32:35.160 --> 0:32:39.640
<v Speaker 11>certainty and sense of control and lack of gimmicks and

0:32:39.960 --> 0:32:42.959
<v Speaker 11>these into a situation that is sped up. When you're

0:32:43.000 --> 0:32:45.720
<v Speaker 11>tapping to buy something on your social media environment, you're

0:32:45.720 --> 0:32:47.920
<v Speaker 11>not thinking very hard about what financial tool you're going

0:32:47.960 --> 0:32:49.520
<v Speaker 11>to use, but you do want that peace of mind,

0:32:49.600 --> 0:32:53.120
<v Speaker 11>so picking a firm will help you, will keep you protected.

0:32:53.760 --> 0:32:58.360
<v Speaker 11>We are seeing a huge percentage of interaction with computers

0:32:58.360 --> 0:33:00.760
<v Speaker 11>and with phones in particular, shift to the bite sized

0:33:00.800 --> 0:33:05.920
<v Speaker 11>social media modalities, and that's just in your normal talk.

0:33:05.760 --> 0:33:08.640
<v Speaker 10>To us about competition, this idea of Apple pay later.

0:33:08.800 --> 0:33:12.120
<v Speaker 10>You are also partnered with large tech companies yourself, like Amazon,

0:33:12.400 --> 0:33:14.800
<v Speaker 10>but Apples move into the buy now, pay later space.

0:33:14.920 --> 0:33:16.640
<v Speaker 10>How much of an impact could that have on you

0:33:16.680 --> 0:33:17.200
<v Speaker 10>in the future.

0:33:18.480 --> 0:33:21.160
<v Speaker 11>You know, for the moment, we're all taking share from

0:33:21.240 --> 0:33:25.360
<v Speaker 11>credit cards and perhaps even more fundamentally cash. The online

0:33:25.480 --> 0:33:27.600
<v Speaker 11>e commerce in the O salone is nearing a trillion

0:33:27.680 --> 0:33:32.520
<v Speaker 11>farmer correctly, offline is four times that size. The penetration

0:33:32.680 --> 0:33:36.400
<v Speaker 11>into that entire thing is sub one percent if you

0:33:36.440 --> 0:33:39.000
<v Speaker 11>take the totality, and sub five percent.

0:33:38.760 --> 0:33:40.840
<v Speaker 2>If you look at just e commerce.

0:33:40.880 --> 0:33:43.160
<v Speaker 11>And so for the moment, most buy now pay latter

0:33:43.200 --> 0:33:45.240
<v Speaker 11>players are not exactly bumping into each other in a

0:33:45.280 --> 0:33:47.920
<v Speaker 11>hallways trying to convince that last consumer.

0:33:48.040 --> 0:33:50.480
<v Speaker 2>There's lots and lots and lots of greenfield before.

0:33:50.880 --> 0:33:54.760
<v Speaker 11>Competition matters more than just converting folks from credit cards

0:33:55.200 --> 0:33:58.680
<v Speaker 11>onto a firm, And we're making pretty good progress.

0:33:58.320 --> 0:33:59.960
<v Speaker 4>There, Max, really quick.

0:34:00.240 --> 0:34:02.320
<v Speaker 3>I do want you to reflect again on your PayPal

0:34:02.440 --> 0:34:05.840
<v Speaker 3>days and the idea of turning X into a place

0:34:05.840 --> 0:34:09.120
<v Speaker 3>of transactional e commerce. Do you see it as a reality?

0:34:12.000 --> 0:34:14.279
<v Speaker 2>You know, don't ever put anything past you on.

0:34:14.719 --> 0:34:17.200
<v Speaker 11>I think I think he has proven time and time

0:34:17.239 --> 0:34:19.600
<v Speaker 11>again that he can achieve crazy things.

0:34:19.800 --> 0:34:20.840
<v Speaker 2>I do think.

0:34:20.680 --> 0:34:24.480
<v Speaker 11>That the Everything app worked really well in a place

0:34:24.480 --> 0:34:26.560
<v Speaker 11>and a time in a different country. I don't think

0:34:26.640 --> 0:34:30.200
<v Speaker 11>us consumer is looking for a version of a ten

0:34:30.280 --> 0:34:30.840
<v Speaker 11>cent product.

0:34:31.960 --> 0:34:34.719
<v Speaker 3>All right, thanks to a firm CEO Max Levchin, alongside,

0:34:34.760 --> 0:34:38.439
<v Speaker 3>of course Bloomberg Snali Bassett, Happy Friday to you both.

0:34:39.360 --> 0:34:42.840
<v Speaker 3>Right back here in SF, California's largest utility, PG and

0:34:42.880 --> 0:34:46.280
<v Speaker 3>E says it's more prepared than ever for the threat

0:34:46.400 --> 0:34:50.080
<v Speaker 3>of wildfires. The company spent five years modernizing its infrastructure

0:34:50.200 --> 0:34:53.960
<v Speaker 3>in America's most popular state. It's now turning to AI

0:34:54.280 --> 0:34:57.279
<v Speaker 3>to predict and control wildfire impact. Take listen to my

0:34:57.320 --> 0:35:01.160
<v Speaker 3>exclusive interview with PG and E CEO Patti Poppy.

0:35:02.760 --> 0:35:04.879
<v Speaker 12>Ed I think you'd be quite impressed if you could

0:35:04.880 --> 0:35:09.319
<v Speaker 12>see the wildfire science that underpins the activation of the technology.

0:35:09.360 --> 0:35:11.719
<v Speaker 12>The hardware is activated by the software we have that

0:35:11.840 --> 0:35:15.160
<v Speaker 12>data system. We've actually divided up our entire service area

0:35:15.200 --> 0:35:17.520
<v Speaker 12>two thirds of the state of California into two kilometer

0:35:17.600 --> 0:35:20.799
<v Speaker 12>polygons we call them, and we have readings because of

0:35:20.800 --> 0:35:23.640
<v Speaker 12>our weather stations, our high definition cameras that are using

0:35:23.719 --> 0:35:27.360
<v Speaker 12>artificial intelligence to know the difference between fog and smoke.

0:35:27.719 --> 0:35:31.799
<v Speaker 12>That are identifying the fuel, moisture levels, the humidity, the

0:35:31.840 --> 0:35:36.520
<v Speaker 12>wind speed, the temperatures, the grass levels, any open maintenance tags,

0:35:36.520 --> 0:35:39.439
<v Speaker 12>and that two kilometer block, any tree that's within strike

0:35:39.480 --> 0:35:41.560
<v Speaker 12>distance of the line and that two kilometer block. And

0:35:41.600 --> 0:35:44.360
<v Speaker 12>we have technology then that we can activate when the

0:35:44.400 --> 0:35:47.760
<v Speaker 12>conditions are such that a catastrophic wildfire is possible.

0:35:47.800 --> 0:35:51.280
<v Speaker 3>So we're talking about spread modeling essentially trying to predict

0:35:51.719 --> 0:35:54.360
<v Speaker 3>the path that a fire would take if it was

0:35:54.400 --> 0:35:55.280
<v Speaker 3>her cust exactly.

0:35:55.320 --> 0:35:58.839
<v Speaker 12>So we use the spread modeling with this artificial intelligence

0:35:59.640 --> 0:36:04.040
<v Speaker 12>engine in to then activate our hardware on any given.

0:36:03.840 --> 0:36:04.439
<v Speaker 4>Day of the year.

0:36:04.480 --> 0:36:09.000
<v Speaker 12>We have an operation center that's monitoring conditions twenty four

0:36:09.000 --> 0:36:10.759
<v Speaker 12>hours a day, seven days a week, three hundred and

0:36:10.760 --> 0:36:13.879
<v Speaker 12>sixty five days a year, and they monitored those real

0:36:13.920 --> 0:36:18.040
<v Speaker 12>time indicators and then use that AI model to predict

0:36:18.480 --> 0:36:22.759
<v Speaker 12>risk and then we activate our hardening system. We've put

0:36:22.760 --> 0:36:26.359
<v Speaker 12>in layers of protection, including our ten thousand mile undergrounding plan,

0:36:26.440 --> 0:36:29.400
<v Speaker 12>which is sort of old school construction, but it works.

0:36:29.440 --> 0:36:34.040
<v Speaker 12>It's very risk mitigating combined with our technology platform to

0:36:34.320 --> 0:36:38.799
<v Speaker 12>be prepared every single day to prevent the next catastrophic wildfire?

0:36:39.120 --> 0:36:40.720
<v Speaker 4>Do you have to make further investment?

0:36:40.719 --> 0:36:43.280
<v Speaker 3>I mean he talked about it being old school putting

0:36:43.360 --> 0:36:46.080
<v Speaker 3>the cabling underground, but that's how it's worked in the past,

0:36:46.200 --> 0:36:50.680
<v Speaker 3>right above ground cables through a number of factors contributing

0:36:50.719 --> 0:36:51.480
<v Speaker 3>to the.

0:36:51.320 --> 0:36:52.200
<v Speaker 4>Cause of a fire.

0:36:52.760 --> 0:36:55.319
<v Speaker 3>Where else do you have to invest and continue to

0:36:55.360 --> 0:36:56.720
<v Speaker 3>grow your tech play?

0:36:57.080 --> 0:36:57.719
<v Speaker 4>Yeah, well, the.

0:36:57.760 --> 0:37:00.480
<v Speaker 12>Tech play in undergrounding is actually quite excited. We use

0:37:00.520 --> 0:37:03.640
<v Speaker 12>those models and all of that AI to determine what's

0:37:03.680 --> 0:37:06.040
<v Speaker 12>the next best mile to bury. We get lots of

0:37:06.040 --> 0:37:08.600
<v Speaker 12>calls people want us to bury the lines. So a

0:37:08.640 --> 0:37:10.920
<v Speaker 12>lot of people would like this to bury their strategic

0:37:10.920 --> 0:37:13.160
<v Speaker 12>about it. Yes, but we have to use ask that

0:37:13.280 --> 0:37:15.879
<v Speaker 12>risk modeling to determine the best miles, and then we're

0:37:15.920 --> 0:37:18.839
<v Speaker 12>deploying all sorts of new technology to make it way

0:37:18.920 --> 0:37:23.600
<v Speaker 12>less old school. We actually demoed at an investor event

0:37:23.760 --> 0:37:25.800
<v Speaker 12>in San Ramon a couple of maybe a month or

0:37:25.840 --> 0:37:29.440
<v Speaker 12>so ago, what we call at grade undergrounding, utilizing a

0:37:29.440 --> 0:37:34.480
<v Speaker 12>new steel form with a polymer insert with conduit where

0:37:34.520 --> 0:37:38.399
<v Speaker 12>we run the conductor and can bury the lines much

0:37:38.520 --> 0:37:42.000
<v Speaker 12>less deeply right at surface, and it takes a diamond

0:37:42.000 --> 0:37:46.279
<v Speaker 12>cutter to cut through this. So there's infrastructure technology that

0:37:46.320 --> 0:37:48.719
<v Speaker 12>we're deploying, and of course we're deploying all sorts of

0:37:48.760 --> 0:37:51.399
<v Speaker 12>tools to make sure that every minute we spend doing work,

0:37:51.440 --> 0:37:52.839
<v Speaker 12>we're doing it in a smarter way.

0:37:53.840 --> 0:37:56.719
<v Speaker 3>That was PG and Eco Patty Poppy the main takeaway.

0:37:57.040 --> 0:38:01.520
<v Speaker 3>Wildfire risks from equipment ninety four sent less likely now

0:38:01.800 --> 0:38:04.480
<v Speaker 3>than in twenty seventeen because of that tech investment. Check

0:38:04.520 --> 0:38:23.760
<v Speaker 3>out the full interview on bloomberg dot Com.

0:38:15.160 --> 0:38:16.760
<v Speaker 4>Time out for What's going viral?

0:38:16.880 --> 0:38:19.240
<v Speaker 3>Do you remember a scare last year when a man

0:38:19.360 --> 0:38:23.440
<v Speaker 3>in possession of ammunition slipped through a clear screening line

0:38:23.680 --> 0:38:26.799
<v Speaker 3>at Reagan National Airport. While that incident was a catalyst

0:38:27.120 --> 0:38:31.000
<v Speaker 3>to a government pro that uncovered flaws in clears practices,

0:38:31.040 --> 0:38:35.319
<v Speaker 3>at times capturing blurry or obscured images of travelers, Clear

0:38:35.400 --> 0:38:38.200
<v Speaker 3>responded to Bloomberg in a statement saying, quote, it is

0:38:38.280 --> 0:38:41.319
<v Speaker 3>deeply disappointed to us that images were shared with the

0:38:41.320 --> 0:38:43.160
<v Speaker 3>federal government as part of its review.

0:38:43.640 --> 0:38:45.880
<v Speaker 4>We share TSA's on waivering.

0:38:45.400 --> 0:38:49.520
<v Speaker 3>Commitment to aviation security and have proven ourselves a capable

0:38:49.560 --> 0:38:53.640
<v Speaker 3>and trusted partner for more than thirteen years.

0:38:54.480 --> 0:38:56.919
<v Speaker 4>One that everyone's talking about on social Media.

0:38:57.000 --> 0:38:57.120
<v Speaker 7>Now.

0:38:57.120 --> 0:39:00.840
<v Speaker 3>That does it for this edition of Bloomberg Technology. Happy Friday,

0:39:00.880 --> 0:39:03.400
<v Speaker 3>have a good weekend, but don't forget. You can recap

0:39:03.440 --> 0:39:06.960
<v Speaker 3>everything for today's episode in the podcast wherever you get

0:39:07.000 --> 0:39:10.960
<v Speaker 3>your podcast, Apple, Spotify, iHeart, and of course, on the

0:39:11.000 --> 0:39:13.960
<v Speaker 3>Bloomberg platforms Big earning season next week.

0:39:14.120 --> 0:39:16.120
<v Speaker 4>This is Bloomberg Technology.