WEBVTT - Intel Taps AI Boom as Apple Faces Doubts

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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<v Speaker 1>from the heart of Silicon Valley with Ed lar Though

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<v Speaker 1>in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>Intel is tapping the market for fifteen billion dollars in

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<v Speaker 3>fresh capital betting renewed AI enthusiasm can help fund its

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<v Speaker 3>push into chips and physical AI plus. Apple gets a

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<v Speaker 3>rare downgrade from Jeffreys on concerns about its iPhone roadmap.

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<v Speaker 3>We'll speak with the analyst to discuss why he's turning

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<v Speaker 3>more bearish, and Microsoft says AI agents are already transforming

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<v Speaker 3>how software gets built. We'll speak with co pilot chief

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<v Speaker 3>Charles Lamana about what's next. Intel down four percent. It

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<v Speaker 3>wants to tap the market for fifteen billion dollars worth

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<v Speaker 3>of stock.

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<v Speaker 2>This will be the.

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<v Speaker 3>First time that it does a public share sale since

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<v Speaker 3>it listed back in nineteen seventy one. Let's get straight

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<v Speaker 3>to it with bloombergs Ian King, who leads our coverage

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<v Speaker 3>of semiconductors. So interesting when this hit the inbox this morning.

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<v Speaker 3>Let's start with what they're doing. Fifteen billion dollars is

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<v Speaker 3>a lot of money, and actually, if you look at

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<v Speaker 3>what could follow it could go up two point twenty

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<v Speaker 3>five billion.

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<v Speaker 2>What do we need to know to start?

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<v Speaker 4>Yeah, I mean you say fifteen billion is a lot

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<v Speaker 4>of money, and that's that's true. But if you think

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<v Speaker 4>about it in terms of what Intel has to achieve,

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<v Speaker 4>which would be building new factories which cost twice side amount,

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<v Speaker 4>which would be investing heavily to catch up with in

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<v Speaker 4>video and AMD in accelerators, not actually that largest amount

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<v Speaker 4>of money in the grand scheme of things that Obviously,

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<v Speaker 4>though investors don't like the dilution this morning.

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<v Speaker 3>This is opportunistic. This is a timing thing, right. The

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<v Speaker 3>stock tripled so far in twenty twenty six, and there

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<v Speaker 3>has been renewed enthusiasm by investors for Intel's AI story.

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<v Speaker 4>Yeah, no, you're absolutely right in it makes sense for

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<v Speaker 4>Intel to do this to go to the equity markets

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<v Speaker 4>rather than to go back to the debt markets, because

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<v Speaker 4>it's been trying to clean up that balance sheet, been

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<v Speaker 4>making progress on that, and investors part of the reason

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<v Speaker 4>why stock has gone up is because it has made

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<v Speaker 4>progress on cleaning that balance sheet up. So this sort

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<v Speaker 4>of helps that narrative, albeit in a way that some

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<v Speaker 4>of the equity investors clearly don't like. But again, fifteen

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<v Speaker 4>billion dollars, that's a nice amount, but where does it

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<v Speaker 4>get us.

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<v Speaker 3>You and I are on the phone very recently with

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<v Speaker 3>Intel CEO Lit Bhutan and CFO Dave's Intner, and they

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<v Speaker 3>gave us this past quarter a caf to expenditure number

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<v Speaker 3>for the year that was bigger than that even they'd expected.

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<v Speaker 3>The explanation was kind of like, we will only deploy

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<v Speaker 3>CAPEX if we see a return on it. Talk about

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<v Speaker 3>some of the projects that Intel's committed to and what

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<v Speaker 3>it's trying to achieve.

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<v Speaker 4>Yeah, I mean, under the good times predecessor, they built

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<v Speaker 4>what are called shells, which are the actual physical fires

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<v Speaker 4>in places like Ohio, in places like Arizona, but they

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<v Speaker 4>didn't do the really expensive part, which is to buy

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<v Speaker 4>the equipment and put the equipment in there. Now they're saying,

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<v Speaker 4>look for our own stuff alone. We don't have enough capacity.

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<v Speaker 4>That's kind of a good problem in a way. So

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<v Speaker 4>they do need to spend more. But the real big

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<v Speaker 4>step up in spending would come if they get that

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<v Speaker 4>external customer that they're looking for. If if it's saying

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<v Speaker 4>in Video or Apple decides to give them orders and

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<v Speaker 4>they'll need that big chunk of change in a hurry

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<v Speaker 4>to meet that big step up in demand. Haven't quite

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<v Speaker 4>seen that yet, but this perhaps points as in that direction,

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<v Speaker 4>makes us feel them, maybe that they're preparing.

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<v Speaker 5>To do this.

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<v Speaker 3>Intel down four percent in the session, up one hundred

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<v Speaker 3>and sixty five percent here today, Bloomberg, Zy and King,

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<v Speaker 3>thank you very much. Another top story, shares of Apple

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<v Speaker 3>have been under pressure. The company was downgraded at Jeffrey's

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<v Speaker 3>to underperform from hold, with a price target now of

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<v Speaker 3>two hundred and sixty three dollars sixty six cents. The

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<v Speaker 3>downray and make concerns over Apple's product roadmap. Jeffrey says

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<v Speaker 3>it's supply chain checks suggests an all glass iPhone, which

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<v Speaker 3>was expected in September twenty twenty seven, has been canceled

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<v Speaker 3>due to low production yields.

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<v Speaker 2>Here with more is Jeffrey's equity.

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<v Speaker 3>Analyst Edison Lee Edison, it's great time you can we

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<v Speaker 3>start with the supply chain checks. You know, to some

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<v Speaker 3>people in the Bloomberg Tech audience, they might not be

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<v Speaker 3>familiar with what it is you guys go out and

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<v Speaker 3>do you've looked at the all glass iPhone. Let's start

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<v Speaker 3>with that first conclusion that you've drawn.

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<v Speaker 5>Yeah.

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<v Speaker 2>Sure.

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<v Speaker 5>In twenty twenty seven, there's the twentieth anniversary of the iPhone,

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<v Speaker 5>and that's why our understanding of staid. Apple actually has

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<v Speaker 5>this new design which is four glass, meaning that there

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<v Speaker 5>will not be any battle midtrim that you will be

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<v Speaker 5>able to see. So the entire IPHILM is actually wrapped

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<v Speaker 5>in glass. And also there will be no physical buttons

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<v Speaker 5>on the side. It's all replaced up by heptics. So

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<v Speaker 5>that's why this is going to be a beautiful iPhone

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<v Speaker 5>that will be marketed as a twentieth anniversary model. And

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<v Speaker 5>we think that this new form factor for the iPhone

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<v Speaker 5>what I call a strict iPhone. I think it's going

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<v Speaker 5>to be a pretty expensive and also high end looking phone,

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<v Speaker 5>and we think that over time it may not be

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<v Speaker 5>just marketed as a one off product. I think that

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<v Speaker 5>over time this form factor may actually be transported to

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<v Speaker 5>the program promas maybe an F y twenty and F

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<v Speaker 5>y twenty nine as well. So this is how Apple

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<v Speaker 5>intended to move up the product ROMap and move up

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<v Speaker 5>the esp which I think is very important right now

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<v Speaker 5>given soaring memory costs.

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<v Speaker 3>This is what Mark German at Bloomberg has reported under

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<v Speaker 3>the code name glass Wing, and he's given on this

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<v Speaker 3>show a lot of detail. The second factor is ASPS.

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<v Speaker 3>Very simply, why is it important that you see a

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<v Speaker 3>path for Apple to maintain a higher average selling price?

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<v Speaker 5>Well, I think that there are two reasons, right. Number

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<v Speaker 5>one is that smartphone itself is a very mature product,

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<v Speaker 5>and that's why the majority of the demand is going

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<v Speaker 5>to come from replacement demand. And we think that with

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<v Speaker 5>AI not yet taking hold right to change the utility

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<v Speaker 5>of the smartphone, I think that new form factor is

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<v Speaker 5>important for Apple to be able to raise the ASP

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<v Speaker 5>over time, and particularly right now, AI has taken over

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<v Speaker 5>as the king in the supply chain, and that's why

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<v Speaker 5>Apple is no longer the king in the supply chain

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<v Speaker 5>anymore as the biggest customers, and that's why I think

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<v Speaker 5>one of the medium the long term challenges facing Apple

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<v Speaker 5>is going to be supply chain challenges whether they security

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<v Speaker 5>enough supply of chips, where they security enough supply of memory,

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<v Speaker 5>and these prices continue to go up, and that's why

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<v Speaker 5>to be able to introduce products that can sell at

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<v Speaker 5>a higher prices to offset these supply chain challenges, I

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<v Speaker 5>think it's.

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<v Speaker 3>Important Edison On September first, Tim Cook steps down as

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<v Speaker 3>CEO and becomes executive chair, and then John Turners takes

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<v Speaker 3>over as CEO. How have you modeled for that change

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<v Speaker 3>and do you see it reflected in the research that

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<v Speaker 3>you put out on an all glass iPhone and in

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<v Speaker 3>your supply chain checks.

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<v Speaker 5>I think that right now, the two bottlenecks that Apple

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<v Speaker 5>is facing number one's memory, number two is the advanced

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<v Speaker 5>no capacity at TSMC, because the iPhones and also odd

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<v Speaker 5>Apple products are usually powered by the most advanced notes

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<v Speaker 5>at TSMC. But right now I think TSMC is most

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<v Speaker 5>advanced notes going forward will be mainly used by AI

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<v Speaker 5>companies who can pay more than consume electronics companies such

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<v Speaker 5>as Apple, and that our memory is exactly the same

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<v Speaker 5>situation where AI companies are crazy about memory. They wanted

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<v Speaker 5>to pay higher prices for memory, and they will occupy

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<v Speaker 5>the majority of the memory production capacity of amount of

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<v Speaker 5>major players. And that's why in order for Apple to

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<v Speaker 5>be able to get enough at the right prices and

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<v Speaker 5>also to get enough ad faster process and trips at

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<v Speaker 5>the right price at the right time, I think it's

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<v Speaker 5>going to be a big challenge for app.

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<v Speaker 3>One of the things that was conceded in the earning

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<v Speaker 3>school was that they had misread demand and therefore had

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<v Speaker 3>not placed the orders for enough capacity on lead edge chips.

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<v Speaker 3>Just how much did that that surprise you? Edison the

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<v Speaker 3>mismanagement of the supply chain.

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<v Speaker 5>I wouldn't describe that as mismanagement, but I think that

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<v Speaker 5>the structure of the supply chain has been dramatically altered

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<v Speaker 5>by AI, and I think before AI came along, Apple

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<v Speaker 5>is the biggest is the biggest customers of many companies

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<v Speaker 5>including TSMC, including maybe Heinex or even part of Stepsum.

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<v Speaker 5>But I think that they're no longer the biggest and

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<v Speaker 5>I think that they potentially can fall to number three

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<v Speaker 5>in twenty twenty seven in TSMC because other AI companies

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<v Speaker 5>are actually moving forward with bigger orders and also higher

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<v Speaker 5>bility to pay more. And as a result of that,

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<v Speaker 5>I think Apple needs to, I think, manage to supply

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<v Speaker 5>chain a lot more efficiently. But in order to offset

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<v Speaker 5>these bottom ers and also offset these higher cost the components,

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<v Speaker 5>I think the most feasible role math for them is

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<v Speaker 5>sexual to introduce higher price items so that consumers that

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<v Speaker 5>wanted to pay more and they can offset higher component

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<v Speaker 5>cost and protect the margin.

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<v Speaker 3>Apple's down two percent after a Jeffrey's downgrade. We speak

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<v Speaker 3>with Edison Lee of Jeffries. Thank you very much. Indeed,

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<v Speaker 3>we're also looking at shares of Microsoft this morning. The

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<v Speaker 3>information is reporting that Microsoft plans to significantly increase production

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<v Speaker 3>of its internal AI chips and they are citing sources

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<v Speaker 3>on that, and they plan to unveil the newest designs

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<v Speaker 3>of that this fall. The stock off session highs up

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<v Speaker 3>one point eight percent. Separately later in the show, from

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<v Speaker 3>chips to software.

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<v Speaker 2>We're going to speak later this our.

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<v Speaker 3>Charles Lamana, Microsoft EVP of co Pilot Agents and platform.

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<v Speaker 3>Co Pilot was a really big feature the recent earnings print.

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<v Speaker 3>Also coming up, Pauline and mcpadden of Bailly Gifford joins

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<v Speaker 3>us to discuss her long term term bet is. The

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<v Speaker 3>AI race between the US and China starts a heat up.

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<v Speaker 2>This is Bloomberg Tech.

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<v Speaker 3>When it comes to technological advancements, access to capital.

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<v Speaker 2>Has long been a US advantage.

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<v Speaker 3>Now Beijing's closing that gap by tapping a twenty eight

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<v Speaker 3>trillion dollar market as AI emergence as the next engine

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<v Speaker 3>of economic growth. Bloomberg's microheff that joins us with a

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<v Speaker 3>big take, and it was a big take.

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<v Speaker 2>What do we need to know, Well, it really does.

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<v Speaker 6>In Kudro's story of colleagues in Asia for all their

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<v Speaker 6>deep reporting on this and their story focuses initially on CXMT.

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<v Speaker 6>This is the chip maker whose ip O lest month

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<v Speaker 6>really caught global attention, raising nine point eight billion dollars

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<v Speaker 6>in its initial sale, but then seeing its shares jump

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<v Speaker 6>almost five hundred percent in the first day of trading.

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<v Speaker 6>And what that really signaled is that Chinese capital markets

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<v Speaker 6>are really going to play an increasingly significant role in

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<v Speaker 6>the AI and tech build out in the world's second

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<v Speaker 6>largest economy. And in the past we have seen Beijing

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<v Speaker 6>employee state supports to try to help industries like solar

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<v Speaker 6>panels and electric vehicles took great success and effect and

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<v Speaker 6>helping propel them to the lead. But artificial intelligence, as

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<v Speaker 6>we know it is something that's different. It is so

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<v Speaker 6>capital intensive, and we just need to look at the

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<v Speaker 6>landscape here in the US with the trillions of dollars

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<v Speaker 6>in pledges in investment here in data center and other infrastructure.

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<v Speaker 6>And just this morning we saw Intel announcing that it

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<v Speaker 6>was going to offer an additional fifteen billion dollars in

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<v Speaker 6>shares as a part of trying to feed that beast

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<v Speaker 6>of the need from more capital to keep building in China. Look,

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<v Speaker 6>there is a mismatch still between the size of the

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<v Speaker 6>US stock and bomb market and the financial markets in Beijing.

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<v Speaker 6>It's roughly in the order of about five times smaller

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<v Speaker 6>than what we have here in the US, but it

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<v Speaker 6>is not insignificant. It is a two twenty eight trillion

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<v Speaker 6>dollar stock and bomb market that investors can turn to.

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<v Speaker 6>And Chinese authorities are also looking at home at the

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<v Speaker 6>high rate of domestic savings. They are sitting on household

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<v Speaker 6>savings of twenty six trillion dollars that perhaps can be

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<v Speaker 6>tapped directly or indirectly through this to help feed the

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<v Speaker 6>beast of artificial intelligence growth, which is one of Chinese

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<v Speaker 6>President Chiji Pag's top priorities economically over the next decade.

0:12:45.200 --> 0:12:48.040
<v Speaker 3>Bloembergs Mike Shepard, thank you very much. Let's stick with

0:12:48.120 --> 0:12:50.640
<v Speaker 3>the global AI race. Our next guest believes that some

0:12:50.640 --> 0:12:54.800
<v Speaker 3>of the most compelling long term growth opportunities remain outside

0:12:54.880 --> 0:12:58.040
<v Speaker 3>the US. Pull in a pattern investment manager of International

0:12:58.080 --> 0:13:02.080
<v Speaker 3>concentrated Growth Strategy for join US Now you heard what

0:13:02.160 --> 0:13:05.040
<v Speaker 3>shep was reporting on there. You know, we often frame

0:13:05.960 --> 0:13:08.840
<v Speaker 3>the US China AI race in terms of who has

0:13:09.000 --> 0:13:12.480
<v Speaker 3>better chips, who is doing the most work on advanced models,

0:13:13.040 --> 0:13:16.840
<v Speaker 3>But access to capital seems an important swing factor right now.

0:13:18.520 --> 0:13:21.400
<v Speaker 7>I mean that's always been the case that capital matters,

0:13:21.440 --> 0:13:24.720
<v Speaker 7>and particularly in a high CAPEX or CAPEX intensive industry

0:13:24.880 --> 0:13:26.800
<v Speaker 7>like artificial intelligence.

0:13:27.840 --> 0:13:28.920
<v Speaker 8>I'd maybe take a step back.

0:13:28.960 --> 0:13:31.280
<v Speaker 7>I think for long term investors of what really matters

0:13:31.320 --> 0:13:35.200
<v Speaker 7>is more finding outliers, and those outliers will the naturally

0:13:35.280 --> 0:13:38.280
<v Speaker 7>have greater access to capital because they are fundamentally better

0:13:38.559 --> 0:13:40.880
<v Speaker 7>businesses in some ways, I actually think I might be

0:13:40.920 --> 0:13:42.560
<v Speaker 7>a bit of a boring guest for you today because

0:13:42.559 --> 0:13:44.280
<v Speaker 7>I'm going to be repeating quite a lot of older

0:13:44.320 --> 0:13:45.720
<v Speaker 7>information rather than giving.

0:13:45.600 --> 0:13:46.440
<v Speaker 8>You new news.

0:13:46.559 --> 0:13:49.800
<v Speaker 7>But I think increasingly market participants tend to be conflating

0:13:50.000 --> 0:13:51.719
<v Speaker 7>new and important, and.

0:13:51.679 --> 0:13:53.840
<v Speaker 8>It's particularly easy to do an AI.

0:13:53.840 --> 0:13:56.559
<v Speaker 7>Given the piece of change and growth, and it's exacerbated

0:13:56.640 --> 0:14:00.280
<v Speaker 7>by structural market dynamics. I think, you know, sixty percent

0:14:00.280 --> 0:14:03.200
<v Speaker 7>of US investing has done through passive vehicles, seventy five

0:14:03.240 --> 0:14:06.960
<v Speaker 7>percent of trading volumes from quant funds, and there's increasing

0:14:07.000 --> 0:14:10.760
<v Speaker 7>retail participation so markets have never been faster and noisier

0:14:10.840 --> 0:14:13.240
<v Speaker 7>in being able to take that step back and focus

0:14:13.360 --> 0:14:16.520
<v Speaker 7>on the fundamental attributes of a company. What are what

0:14:16.600 --> 0:14:19.040
<v Speaker 7>industry are they trying to disrupt? What new industry are

0:14:19.040 --> 0:14:22.560
<v Speaker 7>they creating? Are they investing in innovation over the long term?

0:14:22.840 --> 0:14:25.840
<v Speaker 7>And long term here means five or ten years, because

0:14:25.960 --> 0:14:29.520
<v Speaker 7>true change takes decades in not quarters. I think those

0:14:29.560 --> 0:14:31.480
<v Speaker 7>are the kinds of businesses that are going to grow

0:14:31.520 --> 0:14:34.080
<v Speaker 7>well in the long term, regardless of which industry they're in.

0:14:35.120 --> 0:14:37.240
<v Speaker 3>Okay, so I'm happy to park the new for a

0:14:37.240 --> 0:14:39.400
<v Speaker 3>second and stick with the important. I did spend a

0:14:39.400 --> 0:14:41.280
<v Speaker 3>bit of time going through the holdings in your funds.

0:14:41.360 --> 0:14:45.800
<v Speaker 3>So two interesting parallel case studies. Is TSMC is a

0:14:45.880 --> 0:14:49.320
<v Speaker 3>top holding, right as is sk Heinex on the memory side.

0:14:49.720 --> 0:14:52.720
<v Speaker 3>The case studies in that big take they're outlined are

0:14:53.200 --> 0:14:56.960
<v Speaker 3>CXMT on the memory side, compare with sk and also

0:14:57.120 --> 0:15:00.000
<v Speaker 3>China's efforts to have domestic manufacturing capacity.

0:15:01.120 --> 0:15:02.680
<v Speaker 2>How would you sort of interpret that.

0:15:03.840 --> 0:15:06.880
<v Speaker 7>I think China's been a tremendous engine for growth and

0:15:06.920 --> 0:15:09.440
<v Speaker 7>disruption and innovation for a very long time, and I

0:15:09.440 --> 0:15:10.440
<v Speaker 7>certainly wouldn't.

0:15:10.080 --> 0:15:11.160
<v Speaker 8>Want to bet against China.

0:15:11.200 --> 0:15:14.600
<v Speaker 7>Indeed, we have holdings in China such as BID and

0:15:14.680 --> 0:15:18.840
<v Speaker 7>Pinduo Duo and Tensent, and they're tremendous companies. But I

0:15:18.880 --> 0:15:23.040
<v Speaker 7>think companies like TSMC and sk Heinex and ASML are

0:15:23.080 --> 0:15:23.680
<v Speaker 7>almost in a.

0:15:23.680 --> 0:15:24.480
<v Speaker 8>League of their own.

0:15:24.560 --> 0:15:28.960
<v Speaker 7>TSMC in particular has created effectively monopoly at the leading

0:15:29.040 --> 0:15:31.480
<v Speaker 7>edge of chips, and that's going to be very difficult

0:15:31.480 --> 0:15:34.520
<v Speaker 7>to disrupt, not just because of access to capital, which

0:15:34.560 --> 0:15:37.160
<v Speaker 7>is a limiting factor still given the amount of money

0:15:37.200 --> 0:15:40.640
<v Speaker 7>it takes to build a leading node fab, but also

0:15:40.720 --> 0:15:44.480
<v Speaker 7>because there's so much inherent process knowledge that TSMC has

0:15:44.520 --> 0:15:47.080
<v Speaker 7>built up over decades, and that is incredibly hard to

0:15:47.120 --> 0:15:50.080
<v Speaker 7>replicate even if Chinese companies had access to a lot

0:15:50.080 --> 0:15:52.160
<v Speaker 7>of the equipment that they need, which they simply do

0:15:52.240 --> 0:15:55.080
<v Speaker 7>not because of export controls. And I think a similar

0:15:55.120 --> 0:15:58.200
<v Speaker 7>story is probably going to happen with sk Heinex, where

0:15:58.520 --> 0:16:01.280
<v Speaker 7>a growing proportion of the revenue and earnings are coming

0:16:01.320 --> 0:16:05.360
<v Speaker 7>from HBM high bandwidth memory, which is very complicated to

0:16:05.400 --> 0:16:10.840
<v Speaker 7>make again requires quite complex processes and equipment, and CSMT

0:16:11.040 --> 0:16:13.240
<v Speaker 7>doesn't actually have access to a lot of that equipment

0:16:13.320 --> 0:16:16.880
<v Speaker 7>yet now will they be able to replicate it over time? Perhaps,

0:16:17.480 --> 0:16:18.560
<v Speaker 7>but it will take.

0:16:20.280 --> 0:16:22.080
<v Speaker 3>If I was going to give it the sort of

0:16:22.160 --> 0:16:25.760
<v Speaker 3>umbrella label of the AI trade, you know, your non

0:16:25.960 --> 0:16:32.040
<v Speaker 3>US focus is tsmcsml SKHNEX, very very chip concentrated. Where

0:16:32.120 --> 0:16:36.000
<v Speaker 3>is the non USAI opportunity outside of semiconductors that you

0:16:36.040 --> 0:16:36.840
<v Speaker 3>look at right now?

0:16:37.800 --> 0:16:40.400
<v Speaker 7>I mean there's a number of them, but I'd perhaps

0:16:40.400 --> 0:16:43.960
<v Speaker 7>pull out two really exciting ones that actually reported relatively recently.

0:16:44.040 --> 0:16:45.520
<v Speaker 8>So I am going to give you some new.

0:16:45.440 --> 0:16:49.400
<v Speaker 7>News, please, and that's Shopify on the one hand, and

0:16:49.480 --> 0:16:50.840
<v Speaker 7>Mericado Libra on the other hand.

0:16:50.920 --> 0:16:52.520
<v Speaker 8>I'd contrast them again because.

0:16:52.280 --> 0:16:55.560
<v Speaker 7>I think that there's some recognition that what Shopify is

0:16:55.600 --> 0:16:59.640
<v Speaker 7>doing with AI is bearing fruit so fundamentally immediate complexity

0:16:59.680 --> 0:17:02.960
<v Speaker 7>from and consumers. And what AI does is it introduces

0:17:03.000 --> 0:17:06.879
<v Speaker 7>ever more complexity into the shopping journey, so increasing the

0:17:06.920 --> 0:17:08.800
<v Speaker 7>autonomous agents are capable.

0:17:08.440 --> 0:17:09.960
<v Speaker 8>Of making decisions for consumers.

0:17:10.000 --> 0:17:11.919
<v Speaker 7>That means that you need more of a source of

0:17:12.040 --> 0:17:14.359
<v Speaker 7>ground truth for those agents to be able to rely

0:17:14.480 --> 0:17:18.639
<v Speaker 7>on when offering up potential purchases to their users. So

0:17:18.760 --> 0:17:23.000
<v Speaker 7>catalog shopifies record of all the items that merchants has

0:17:23.119 --> 0:17:27.040
<v Speaker 7>and all the metadata associated with that is showing two

0:17:27.119 --> 0:17:32.200
<v Speaker 7>times higher conversion on orders than simply scraping website data

0:17:32.320 --> 0:17:35.679
<v Speaker 7>when AI agents are involved, and that's tremendous for a

0:17:35.720 --> 0:17:40.760
<v Speaker 7>company that monetizes based on GMV. On the other hand,

0:17:40.800 --> 0:17:43.960
<v Speaker 7>I put Marcado Libro where it's almost a classic example

0:17:44.000 --> 0:17:45.879
<v Speaker 7>of again a lot of investors are not taking the

0:17:45.920 --> 0:17:48.400
<v Speaker 7>long term view here, because what Marcado Libra is doing

0:17:48.480 --> 0:17:50.640
<v Speaker 7>is something they've done multiple times in the past, where

0:17:50.640 --> 0:17:53.879
<v Speaker 7>they're investing substantially and growing users because they see this

0:17:54.320 --> 0:17:57.320
<v Speaker 7>as a really critical inflection point in the markets. And

0:17:57.359 --> 0:18:00.160
<v Speaker 7>so they're seeing a very strong GMV growth, very strong

0:18:00.240 --> 0:18:05.560
<v Speaker 7>use your growth on the back of lower shipping requirements

0:18:05.920 --> 0:18:08.920
<v Speaker 7>and lower take rates for merchants. And at the same

0:18:09.040 --> 0:18:11.720
<v Speaker 7>time they're investing in AI in order to speed up

0:18:11.760 --> 0:18:14.800
<v Speaker 7>the cadence of development internally, so they've seen seventy five

0:18:14.880 --> 0:18:18.960
<v Speaker 7>percent higher deployment of code internally at the same time

0:18:19.320 --> 0:18:21.159
<v Speaker 7>as the number of rollbacks.

0:18:20.640 --> 0:18:21.359
<v Speaker 8>Has gone down.

0:18:21.480 --> 0:18:24.199
<v Speaker 7>So not only are they moving faster, they're moving out

0:18:24.240 --> 0:18:27.920
<v Speaker 7>of higher quality and I think that's that's really exciting,

0:18:28.240 --> 0:18:30.600
<v Speaker 7>and the market probably isn't recognizing.

0:18:30.000 --> 0:18:33.840
<v Speaker 3>That Shopify has US listed shares but is a Canadian company.

0:18:33.840 --> 0:18:38.320
<v Speaker 3>Mircado Libre and Argentinian multinational fully in paddin of Bailey

0:18:38.359 --> 0:18:41.320
<v Speaker 3>giff back on Bloomberg Tech, Thank you very much. Indeed,

0:18:41.359 --> 0:18:44.600
<v Speaker 3>now coming up, game Stop. CEO Ryan Cohen is said

0:18:44.640 --> 0:18:48.480
<v Speaker 3>to be considering pulling his fifty six billion dollar bid

0:18:48.680 --> 0:18:51.119
<v Speaker 3>for eBay. We have the details of that report. Next

0:18:51.400 --> 0:18:52.360
<v Speaker 3>the cisplom VEG Tech.

0:18:56.920 --> 0:18:59.760
<v Speaker 9>I'm not going to call my shots, but we're coming

0:19:00.119 --> 0:19:01.280
<v Speaker 9>eBay one way or another.

0:19:06.960 --> 0:19:09.480
<v Speaker 3>That was GameStop CEO Ryan Cohen, with just a month

0:19:09.520 --> 0:19:13.040
<v Speaker 3>ago signaling full speed ahead with his offer for eBay. Today,

0:19:13.280 --> 0:19:17.280
<v Speaker 3>that conversation shifted, with sources telling Bloomberg that Cohen may

0:19:17.359 --> 0:19:20.400
<v Speaker 3>pull the fifty six billion dollar bid and it's considering

0:19:20.440 --> 0:19:24.440
<v Speaker 3>a partnership or joint venture with eBay instead. Bloomberg's Bailey

0:19:24.440 --> 0:19:27.960
<v Speaker 3>Lipshaltz and Spencer Sopa join us now with the details. Bailey,

0:19:27.960 --> 0:19:29.320
<v Speaker 3>I'm going to start with you on the kind of

0:19:29.320 --> 0:19:32.200
<v Speaker 3>deal side of this. We're reporting that he is considering

0:19:32.240 --> 0:19:35.600
<v Speaker 3>pulling the bid. There's the added layer that GameStop is

0:19:35.600 --> 0:19:38.000
<v Speaker 3>one of the EBA's biggest shareholders. Just go over that

0:19:38.040 --> 0:19:39.080
<v Speaker 3>side of what we're reporting.

0:19:39.200 --> 0:19:42.320
<v Speaker 10>Yeah, as you mentioned, potentially pulling a bid, potentially pursuing

0:19:42.359 --> 0:19:44.800
<v Speaker 10>a joint venture, something that Ryan Cohen was very vocal

0:19:44.800 --> 0:19:47.840
<v Speaker 10>about the synergies in his mind that GameStop and eBay

0:19:47.880 --> 0:19:48.199
<v Speaker 10>would have.

0:19:48.480 --> 0:19:50.920
<v Speaker 2>To your point, GameStop is.

0:19:50.840 --> 0:19:54.360
<v Speaker 10>The second largest shareholder of eBay, right behind Vanguard, obviously

0:19:54.680 --> 0:19:56.440
<v Speaker 10>a lot of passive money there, with his stake just

0:19:56.520 --> 0:19:59.080
<v Speaker 10>under ten percent, so a pretty sizable stake in the company.

0:19:59.240 --> 0:20:01.760
<v Speaker 10>GameStop had been doing pretty much everything they could to

0:20:01.880 --> 0:20:05.600
<v Speaker 10>raise capital and try to diversify their offerings, previously leaning

0:20:05.600 --> 0:20:08.480
<v Speaker 10>into things like collectibles, and as you had talked to

0:20:08.560 --> 0:20:11.280
<v Speaker 10>Ryan Cohen about a month ago, really setting insights on

0:20:11.520 --> 0:20:14.000
<v Speaker 10>a deal a takeover of eBay, again, a company that's

0:20:14.160 --> 0:20:15.960
<v Speaker 10>magnitudes larger than Game Stop.

0:20:16.640 --> 0:20:19.399
<v Speaker 3>Right, Spence, I'm reading our report and the idea of

0:20:19.440 --> 0:20:23.200
<v Speaker 3>this joint venture. Ryan Cohen seems to want to leverage

0:20:23.560 --> 0:20:27.880
<v Speaker 3>Game's physical store footprint, you know, explain our reporting there,

0:20:27.880 --> 0:20:30.760
<v Speaker 3>but also some of the history of like where eBay

0:20:30.760 --> 0:20:31.560
<v Speaker 3>would fit in with that.

0:20:33.640 --> 0:20:36.440
<v Speaker 11>Yeah, well, I think the big lesson here is if

0:20:36.440 --> 0:20:38.760
<v Speaker 11>you're going to announce to the world a fifty six

0:20:38.840 --> 0:20:41.840
<v Speaker 11>billion dollar deal, you should make sure you have fifty

0:20:41.840 --> 0:20:47.760
<v Speaker 11>six billion dollars first. But with stores, and again this

0:20:47.800 --> 0:20:49.639
<v Speaker 11>is a big capitulation and We'll have to see what

0:20:49.680 --> 0:20:52.639
<v Speaker 11>eBay thinks about this, but the notion is game Stop

0:20:52.680 --> 0:20:54.840
<v Speaker 11>has a network of stores all over the country and

0:20:54.880 --> 0:20:57.879
<v Speaker 11>people can use those stores to bring in collectibles and

0:20:57.920 --> 0:20:59.720
<v Speaker 11>have things authenticated and such.

0:21:01.080 --> 0:21:03.320
<v Speaker 2>EBAs tried similar versions of that.

0:21:03.400 --> 0:21:06.840
<v Speaker 11>More with like decluttering your closet and garage, like bringing

0:21:06.960 --> 0:21:10.439
<v Speaker 11>your golf clubs to a FedEx location. There was some

0:21:10.480 --> 0:21:13.800
<v Speaker 11>big initiative they had ten years ago. So it's not

0:21:14.320 --> 0:21:17.679
<v Speaker 11>really a fresh idea. And you can just think of

0:21:17.720 --> 0:21:20.840
<v Speaker 11>all the stumbles Amazon has had with physical store space,

0:21:21.240 --> 0:21:24.960
<v Speaker 11>like it doesn't automatically work, and it's not a fresh

0:21:25.000 --> 0:21:28.600
<v Speaker 11>innovative idea. So I mean, it's something you know, potentially

0:21:28.600 --> 0:21:30.879
<v Speaker 11>worth exploring, but there's also a lot of reasons to

0:21:30.880 --> 0:21:32.360
<v Speaker 11>not get too excited about it.

0:21:33.560 --> 0:21:34.600
<v Speaker 2>Bailey just really quick.

0:21:34.720 --> 0:21:37.919
<v Speaker 3>GameStop is flat, eBay's down more than three percent. Like

0:21:38.000 --> 0:21:41.320
<v Speaker 3>the markets are interpreting this reporting how.

0:21:41.600 --> 0:21:44.280
<v Speaker 10>It removes a little bit of the upside optionality for eBay.

0:21:44.359 --> 0:21:46.320
<v Speaker 10>If you look at a twelve month chart of GameStop,

0:21:46.320 --> 0:21:48.159
<v Speaker 10>it's pretty much been down into the right. This is

0:21:48.200 --> 0:21:51.440
<v Speaker 10>a company that handled some of its converts by diluting

0:21:51.480 --> 0:21:55.120
<v Speaker 10>its company, So really the lack of weakness from GameStop

0:21:55.280 --> 0:21:58.040
<v Speaker 10>unsurprising again given the fact that eBay really shot down

0:21:58.080 --> 0:21:59.320
<v Speaker 10>this idea not too long ago.

0:22:00.560 --> 0:22:03.639
<v Speaker 3>Bloomberg's Bailey Lipschutz and Spencer Soaper tag team in it

0:22:04.000 --> 0:22:07.200
<v Speaker 3>on our reporting that Ryan Cohen is considering pulling out

0:22:07.520 --> 0:22:10.200
<v Speaker 3>of his bid for eBay. Now, coming up, we'll dig

0:22:10.240 --> 0:22:14.520
<v Speaker 3>into Microsoft's vision for the agentic future with Charles Lamaner,

0:22:14.600 --> 0:22:18.160
<v Speaker 3>Microsoft VP of co Pilot, Agents and Platform. Of course,

0:22:18.720 --> 0:22:21.879
<v Speaker 3>very recently had the Microsoft earnings where co Pilot and

0:22:21.960 --> 0:22:25.040
<v Speaker 3>growthing co Pilot was a big feature of the story

0:22:25.080 --> 0:22:28.000
<v Speaker 3>that Microsoft was trying to tell. Halfway through the show

0:22:28.080 --> 0:22:31.280
<v Speaker 3>here in San Francisco. That means it's halftime. Markets kind

0:22:31.320 --> 0:22:34.560
<v Speaker 3>of not much to talk about today, flat basically index level,

0:22:34.600 --> 0:22:37.240
<v Speaker 3>some underperformance in chip stocks, and for what it's worth,

0:22:37.320 --> 0:22:41.359
<v Speaker 3>Bitcoin trading around sixty four three hundred and seven dollars

0:22:41.359 --> 0:22:44.440
<v Speaker 3>per token. Hoping that we cut to some beautiful shots

0:22:44.600 --> 0:23:01.600
<v Speaker 3>of San Francisco. This is Bloomberg Tech. Welcome back to

0:23:01.600 --> 0:23:04.560
<v Speaker 3>Bloomberg Tech. A quick recap of our two top stories.

0:23:04.640 --> 0:23:08.000
<v Speaker 3>Intel is going to sell public shares for the first time.

0:23:08.119 --> 0:23:12.159
<v Speaker 3>It's listed in nineteen seventy one, fifteen billion dollar equity

0:23:12.160 --> 0:23:15.440
<v Speaker 3>offering that could rise beyond seventeen billion dollars. This is

0:23:15.480 --> 0:23:17.600
<v Speaker 3>a stock that's more than tripled year to date, and

0:23:17.640 --> 0:23:20.280
<v Speaker 3>it's got a lot of projects that it's committed to.

0:23:20.640 --> 0:23:24.560
<v Speaker 3>Capex is clear, and this market a little worried about dilution.

0:23:24.720 --> 0:23:26.240
<v Speaker 2>Apple is down more than two percent.

0:23:26.320 --> 0:23:30.320
<v Speaker 3>Jeffrey's downgrading the stock after running supply chain checks and

0:23:30.400 --> 0:23:33.480
<v Speaker 3>concluding that an all glass iPhone due in September twenty

0:23:33.520 --> 0:23:36.560
<v Speaker 3>twenty seven is canceled, and that's got them worried about

0:23:36.640 --> 0:23:39.560
<v Speaker 3>higher average selling prices. That is weighing on the shares.

0:23:39.640 --> 0:23:41.000
<v Speaker 3>It's a day where there's a lot of news. I

0:23:41.080 --> 0:23:44.360
<v Speaker 3>take a look at shares of Meta, now up one

0:23:44.400 --> 0:23:46.560
<v Speaker 3>percent that had been up almost three percent earlier in

0:23:46.560 --> 0:23:50.320
<v Speaker 3>the session. This morning, the company introduced a new downloadable

0:23:50.359 --> 0:23:54.000
<v Speaker 3>AI model called mewse Glimmer that can run on a

0:23:54.000 --> 0:23:57.760
<v Speaker 3>personal computer. In a sixty five hundred word essay, Meta

0:23:57.840 --> 0:24:01.600
<v Speaker 3>CEO Mark Zuckerberg challenged the vision of AI that's tightly

0:24:01.600 --> 0:24:04.840
<v Speaker 3>controls or centralized, which has been championed by He says

0:24:04.880 --> 0:24:08.400
<v Speaker 3>some US rivals. Let's get more with bion vers Kirk Wagshaw.

0:24:09.040 --> 0:24:12.240
<v Speaker 3>The news is a thirty billion parameter model that everyone

0:24:12.280 --> 0:24:15.439
<v Speaker 3>can use right the individual, but the bigger picture is

0:24:15.480 --> 0:24:19.840
<v Speaker 3>also Zuckerberg saying AI should not be controlled by just

0:24:19.840 --> 0:24:22.480
<v Speaker 3>a few companies, it should be accessible to everyone. What's

0:24:22.520 --> 0:24:23.640
<v Speaker 3>the kind of need to know here?

0:24:24.960 --> 0:24:28.639
<v Speaker 9>Well, this is the open source, open weight strategy that

0:24:28.680 --> 0:24:31.879
<v Speaker 9>Meta and Mark Zuckerberg has actually employed for years. You

0:24:31.960 --> 0:24:34.760
<v Speaker 9>may remember ed they just used to call it LAMA,

0:24:34.840 --> 0:24:37.399
<v Speaker 9>like Lama was their model, their set of models that

0:24:37.440 --> 0:24:40.800
<v Speaker 9>were open source. This was sort of the all idea

0:24:40.800 --> 0:24:43.600
<v Speaker 9>behind the company's strategy. Over the last year or so,

0:24:43.640 --> 0:24:46.160
<v Speaker 9>we've seen them pivot to more closed models with muse

0:24:46.200 --> 0:24:48.560
<v Speaker 9>Spark they started, they unveiled that and they said they

0:24:48.560 --> 0:24:50.840
<v Speaker 9>were going to sell access to it via an API.

0:24:51.400 --> 0:24:53.280
<v Speaker 2>To me, this essay is sort.

0:24:53.119 --> 0:24:57.160
<v Speaker 9>Of a reminder that Meta and Mark Zuckerberg have been

0:24:57.160 --> 0:25:00.920
<v Speaker 9>on the open source bandwagon for a long time, and

0:25:01.040 --> 0:25:03.159
<v Speaker 9>they see the pendulum maybe kind of swinging back in

0:25:03.160 --> 0:25:05.719
<v Speaker 9>that direction over the last couple of weeks, and you know,

0:25:05.920 --> 0:25:07.760
<v Speaker 9>obviously trying to jump on that and make sure that

0:25:07.760 --> 0:25:09.200
<v Speaker 9>they're making sure that they're part.

0:25:09.040 --> 0:25:09.760
<v Speaker 2>Of that conversation.

0:25:10.760 --> 0:25:13.800
<v Speaker 3>Meta is one of the biggest operators of data centers

0:25:13.840 --> 0:25:15.960
<v Speaker 3>around the world, but here in the United States. They

0:25:15.960 --> 0:25:18.040
<v Speaker 3>are on the hook for hundreds of billions of dollars

0:25:18.040 --> 0:25:21.320
<v Speaker 3>in projects, but they also announced a one billion dollar

0:25:21.400 --> 0:25:26.120
<v Speaker 3>fund which seems as much targeted at supporting those geographies

0:25:26.160 --> 0:25:28.800
<v Speaker 3>where they're building, not the projects themselves.

0:25:28.960 --> 0:25:31.720
<v Speaker 2>What's the idea there, Well.

0:25:31.880 --> 0:25:35.480
<v Speaker 9>These data center projects are, as you point out, very

0:25:35.520 --> 0:25:39.520
<v Speaker 9>massive from a financial standpoint. They're very you know, disruptive

0:25:39.520 --> 0:25:43.280
<v Speaker 9>and impactful on the communities as well. So our colleague

0:25:43.320 --> 0:25:45.159
<v Speaker 9>Riley Griffin has spent a lot of time down in

0:25:45.200 --> 0:25:48.920
<v Speaker 9>Louisiana looking at their big data center built out down there,

0:25:49.280 --> 0:25:51.399
<v Speaker 9>and you know, in some cases it can be good things.

0:25:51.560 --> 0:25:53.600
<v Speaker 9>Meta has talked about how a lot of the teachers

0:25:53.600 --> 0:25:56.359
<v Speaker 9>in that area are getting big bonuses because they're paying

0:25:56.359 --> 0:25:57.080
<v Speaker 9>more in taxes.

0:25:57.440 --> 0:25:59.080
<v Speaker 2>But it can also be disruptive, you know.

0:25:59.160 --> 0:26:02.040
<v Speaker 9>It can impact the community in negative ways, that can

0:26:02.080 --> 0:26:04.600
<v Speaker 9>impact the environment and negative ways that these companies aren't careful.

0:26:04.880 --> 0:26:06.960
<v Speaker 2>So I think this is an opportunity for Meta.

0:26:07.040 --> 0:26:08.680
<v Speaker 9>You know, a billion dollars in the scale of what

0:26:08.800 --> 0:26:10.880
<v Speaker 9>we're spending on all these data centers, I don't want

0:26:10.880 --> 0:26:13.800
<v Speaker 9>to say it is actually a little bit small, but

0:26:13.960 --> 0:26:16.280
<v Speaker 9>they are coming out and saying, hey, look, we're aware

0:26:16.320 --> 0:26:17.800
<v Speaker 9>of the fact that when we come and build a

0:26:17.880 --> 0:26:20.160
<v Speaker 9>data center in your backyard, it can impact the community.

0:26:20.320 --> 0:26:21.800
<v Speaker 9>We're going to at least start to put a little

0:26:21.800 --> 0:26:24.080
<v Speaker 9>money toward, you know, trying to help out in those

0:26:24.080 --> 0:26:25.200
<v Speaker 9>communities where they can.

0:26:26.320 --> 0:26:29.200
<v Speaker 2>Bloomus Kurt Wagner. When all things better, Thank you very much.

0:26:29.320 --> 0:26:32.840
<v Speaker 3>Indeed, let's stick with the theme of AI deployment and adoption.

0:26:33.000 --> 0:26:37.600
<v Speaker 3>Microsoft says AI agents are already fundamentally changing how it

0:26:37.680 --> 0:26:42.560
<v Speaker 3>builds softwares and that next sales, finance and other knowledge

0:26:42.560 --> 0:26:45.760
<v Speaker 3>work is next. Charles the Man and Microsoft's VP of

0:26:45.800 --> 0:26:49.080
<v Speaker 3>co Pilot, Agents and Platform, detailed that argument in a

0:26:49.119 --> 0:26:51.720
<v Speaker 3>new blog post. It comes as Microsoft three sixty five

0:26:51.760 --> 0:26:54.720
<v Speaker 3>Copilot passed thirty million paid seats in what was a

0:26:54.720 --> 0:26:56.800
<v Speaker 3>blowout earnings report last month.

0:26:56.880 --> 0:26:58.560
<v Speaker 2>Charles the maner joins us, Now.

0:26:58.560 --> 0:27:00.800
<v Speaker 3>I think a really interesting place to start was, you know,

0:27:00.880 --> 0:27:04.960
<v Speaker 3>you say, coding agents have basically fundamentally changed how Microsoft's

0:27:04.960 --> 0:27:09.560
<v Speaker 3>working internally teams. That's phase one, but go into that

0:27:09.640 --> 0:27:11.800
<v Speaker 3>what does that look like for you and your people

0:27:11.880 --> 0:27:12.400
<v Speaker 3>day to day?

0:27:14.240 --> 0:27:16.080
<v Speaker 12>Thanks for having me on end and super excited to

0:27:16.119 --> 0:27:18.040
<v Speaker 12>get a chance to talk about agents and what they're doing.

0:27:18.359 --> 0:27:20.919
<v Speaker 12>If we look at software development the big changes. In

0:27:20.960 --> 0:27:23.520
<v Speaker 12>the past, people would actually write their code by hand,

0:27:23.640 --> 0:27:26.359
<v Speaker 12>you know, they'd be typing out each line and building it,

0:27:26.400 --> 0:27:29.320
<v Speaker 12>and the main constraint to do software development was all

0:27:29.359 --> 0:27:33.359
<v Speaker 12>about that coding aspect. But with agentic coding, our software

0:27:33.359 --> 0:27:36.840
<v Speaker 12>engineers are spending most of their time overseeing these agentic

0:27:36.880 --> 0:27:39.520
<v Speaker 12>systems which will generate the code. So their job is

0:27:39.560 --> 0:27:43.080
<v Speaker 12>to build things like verifiers or evaluations to measure the quality,

0:27:43.359 --> 0:27:47.080
<v Speaker 12>to do things like architecture and coordination. And it's very

0:27:47.119 --> 0:27:51.080
<v Speaker 12>important to have editorial judgment in terms of what actually

0:27:51.119 --> 0:27:53.000
<v Speaker 12>goes into the product going forward, since you can do

0:27:53.160 --> 0:27:56.360
<v Speaker 12>so much more. So very different world, and I say

0:27:56.400 --> 0:27:58.400
<v Speaker 12>from the start to the end of twenty twenty six,

0:27:58.840 --> 0:28:01.520
<v Speaker 12>the profession will look nothing like it has in the past.

0:28:02.359 --> 0:28:05.240
<v Speaker 12>Every company is different, right, every company has taken a

0:28:05.240 --> 0:28:08.919
<v Speaker 12>different attitude towards this, but probably the common theme is

0:28:08.960 --> 0:28:11.520
<v Speaker 12>that a lot of the work, the greater proportion of

0:28:11.560 --> 0:28:15.159
<v Speaker 12>the work is in writing new code relative to using

0:28:15.200 --> 0:28:18.720
<v Speaker 12>a coding agent to review or rewrite old code. Is

0:28:18.760 --> 0:28:22.719
<v Speaker 12>that a fair statement in Microsoft case as well?

0:28:22.920 --> 0:28:24.280
<v Speaker 2>I would say it's a spectrum.

0:28:24.359 --> 0:28:28.399
<v Speaker 12>So like new projects and new capabilities, those benefit the

0:28:28.480 --> 0:28:32.159
<v Speaker 12>most from agentic coding, but existing products that have been

0:28:32.200 --> 0:28:34.520
<v Speaker 12>around for ten years, twenty years, thirty years in the

0:28:34.520 --> 0:28:37.520
<v Speaker 12>case of Microsoft, are seeing similar benefits in terms of

0:28:37.600 --> 0:28:39.040
<v Speaker 12>efficiency and productivity.

0:28:39.520 --> 0:28:40.360
<v Speaker 2>Just this morning, I.

0:28:40.280 --> 0:28:42.800
<v Speaker 12>Got an email from someone on my team talking about

0:28:42.800 --> 0:28:46.520
<v Speaker 12>how the sheer Point on premise server is having kind

0:28:46.520 --> 0:28:49.440
<v Speaker 12>of an agentic coding revolution where we're actually very dramatically

0:28:49.480 --> 0:28:52.320
<v Speaker 12>accelerating progress in that twenty five year old codebase.

0:28:54.240 --> 0:28:57.880
<v Speaker 3>This starts phase one with writing software. What is next?

0:28:58.000 --> 0:29:01.200
<v Speaker 3>You know, give me more tangible exam are something that

0:29:01.240 --> 0:29:04.640
<v Speaker 3>like Microsoft does completely differently today that it wasn't doing

0:29:04.640 --> 0:29:06.640
<v Speaker 3>a year ago or even six months ago.

0:29:07.680 --> 0:29:08.120
<v Speaker 2>Yeah.

0:29:08.480 --> 0:29:11.360
<v Speaker 12>So one of the ones that has really changed across

0:29:11.360 --> 0:29:14.200
<v Speaker 12>the company is how we do around data analysis, and

0:29:14.320 --> 0:29:17.200
<v Speaker 12>i'd say like dashboarding and reports. In the past, we

0:29:17.240 --> 0:29:20.360
<v Speaker 12>had central teams that'd go and build these visualizations for

0:29:20.640 --> 0:29:23.800
<v Speaker 12>our sales leaders or our finance leaders or HR leaders.

0:29:24.240 --> 0:29:27.480
<v Speaker 12>But instead what we're starting to see is people in HR,

0:29:27.560 --> 0:29:30.560
<v Speaker 12>people in finance, in sales are actually doing the analysis

0:29:30.680 --> 0:29:33.040
<v Speaker 12>themselves and building these dashboards.

0:29:32.520 --> 0:29:33.840
<v Speaker 2>And sharing them across the company.

0:29:33.960 --> 0:29:37.080
<v Speaker 12>So you have much less of a bottleneck around deep

0:29:37.160 --> 0:29:40.640
<v Speaker 12>understanding of data and also people who really understand what

0:29:40.680 --> 0:29:43.800
<v Speaker 12>they need to see to make a decision building these reports,

0:29:43.840 --> 0:29:46.520
<v Speaker 12>and that has had two big effects. The first is

0:29:46.880 --> 0:29:49.800
<v Speaker 12>dramatically reduce the costs and the investment we spend on

0:29:49.840 --> 0:29:54.440
<v Speaker 12>people building dashboards because it's kind of diffuse into the organization. Second, right,

0:29:54.560 --> 0:29:58.520
<v Speaker 12>we make better decisions faster, We have more insights, more analysis,

0:29:58.720 --> 0:30:00.360
<v Speaker 12>and we don't have to wait for a central team

0:30:00.360 --> 0:30:03.240
<v Speaker 12>to go through a backlog. Our HR leaders, our sales leaders,

0:30:03.280 --> 0:30:05.320
<v Speaker 12>our finance leaders can just do that themselves in an

0:30:05.360 --> 0:30:07.040
<v Speaker 12>afternoon using copilot.

0:30:07.760 --> 0:30:09.320
<v Speaker 3>So you just said you don't have to wait for

0:30:09.360 --> 0:30:12.320
<v Speaker 3>a central team to go through the backlog. I recently

0:30:12.360 --> 0:30:15.600
<v Speaker 3>spent time with a CFO at a large private tech

0:30:15.640 --> 0:30:18.960
<v Speaker 3>company where they run a very lean tax team, for example,

0:30:19.200 --> 0:30:22.680
<v Speaker 3>because they build dashboards just as you've described. So the

0:30:22.760 --> 0:30:25.440
<v Speaker 3>question that's coming to you is does that mean fewer

0:30:25.440 --> 0:30:29.080
<v Speaker 3>people necessary in those kinds of orgs because of all

0:30:29.120 --> 0:30:30.640
<v Speaker 3>of the efficiency you highlighted.

0:30:32.320 --> 0:30:34.880
<v Speaker 12>A big thing that we're seeing is not reducing the

0:30:34.920 --> 0:30:38.480
<v Speaker 12>team necessarily. It's really about doing more and interesting work.

0:30:38.520 --> 0:30:41.200
<v Speaker 12>I think if you went to most companies, they trade

0:30:41.520 --> 0:30:43.800
<v Speaker 12>costs for some top line growth, and that's what people

0:30:43.840 --> 0:30:47.160
<v Speaker 12>are doing. They're taking the kind the surplus time, the

0:30:47.200 --> 0:30:50.640
<v Speaker 12>surplus productivity and reinvesting it and growing the business, things

0:30:50.720 --> 0:30:54.680
<v Speaker 12>like researching new products, things like improving your customer engagement

0:30:54.680 --> 0:30:58.560
<v Speaker 12>and experience you have better retention and more long term value,

0:30:58.920 --> 0:31:01.680
<v Speaker 12>or turning around in your employees more willing to stay around.

0:31:02.960 --> 0:31:05.800
<v Speaker 3>You're also evp of co Pilot. Co Pilot seems to

0:31:05.840 --> 0:31:10.360
<v Speaker 3>have so much traction. The disclosure in earnings was passing

0:31:10.360 --> 0:31:13.440
<v Speaker 3>thirty million paid seats in the July period, up from

0:31:13.560 --> 0:31:17.080
<v Speaker 3>twenty million in the March quarter. Has that trajectory continued

0:31:17.840 --> 0:31:21.240
<v Speaker 3>into the September quarter? What is the kind of rate

0:31:21.280 --> 0:31:22.280
<v Speaker 3>of co Pilot.

0:31:22.000 --> 0:31:22.760
<v Speaker 2>Growth right now?

0:31:24.240 --> 0:31:26.400
<v Speaker 12>So the first I'll take a step back and look

0:31:26.440 --> 0:31:28.960
<v Speaker 12>at the last six months of co pilot. It's really

0:31:28.960 --> 0:31:31.480
<v Speaker 12>been a turning point for us. It took us a

0:31:31.480 --> 0:31:33.640
<v Speaker 12>couple of years to get to fifteen million seats, that's

0:31:33.680 --> 0:31:36.280
<v Speaker 12>all we shared two quarters ago, and then most recently

0:31:36.320 --> 0:31:38.760
<v Speaker 12>we jumped up to above thirty million. So what took

0:31:38.800 --> 0:31:40.680
<v Speaker 12>us a few years we did just in six months.

0:31:40.680 --> 0:31:43.120
<v Speaker 12>And a lot of that is because people are using

0:31:43.120 --> 0:31:45.160
<v Speaker 12>the product much more intensely. A lot of proof of

0:31:45.280 --> 0:31:49.880
<v Speaker 12>concepts and initial rollouts have been successful. We have great engagement.

0:31:49.920 --> 0:31:52.640
<v Speaker 12>We see things like the number of conversations people are

0:31:52.680 --> 0:31:56.320
<v Speaker 12>having with Copilot more than doubling year over year, Copilot

0:31:56.360 --> 0:31:59.600
<v Speaker 12>having the same engagement and being on par with outlooking teams,

0:32:00.080 --> 0:32:03.200
<v Speaker 12>these kind of standard knowledge worker apps that people use

0:32:03.280 --> 0:32:06.160
<v Speaker 12>all the time. Copilot is right there with the same

0:32:06.240 --> 0:32:09.520
<v Speaker 12>level of engagement. So that has been very encouraging for us.

0:32:09.520 --> 0:32:11.360
<v Speaker 12>And we're going to track that through the rest of

0:32:11.400 --> 0:32:14.120
<v Speaker 12>the year. And I know Amy and our Earnings shared

0:32:14.120 --> 0:32:16.000
<v Speaker 12>some guide for the next twelve months, so we'll be

0:32:16.000 --> 0:32:16.880
<v Speaker 12>tracking that closely.

0:32:18.320 --> 0:32:21.640
<v Speaker 3>If somebody's coming to Copilot for the first time, why

0:32:22.120 --> 0:32:24.680
<v Speaker 3>you know, what are you seeing in that kind of

0:32:24.760 --> 0:32:27.440
<v Speaker 3>growth of the user base or paid seats that are

0:32:27.480 --> 0:32:31.360
<v Speaker 3>people that might have just been historically outside of Microsoft's

0:32:31.360 --> 0:32:32.040
<v Speaker 3>customer base.

0:32:33.840 --> 0:32:34.960
<v Speaker 2>Yeah, three big things.

0:32:35.480 --> 0:32:39.160
<v Speaker 12>The first is we've had this multimodel strategy for a year.

0:32:40.120 --> 0:32:42.760
<v Speaker 12>In the beginning, there really was GPT and Opening Eye

0:32:42.760 --> 0:32:46.000
<v Speaker 12>Models is the main model selection people wanted, but we've

0:32:46.040 --> 0:32:49.840
<v Speaker 12>since added Clawed from Anthropic. We've announced a partnership with

0:32:49.880 --> 0:32:53.800
<v Speaker 12>Mistrol in Europe. We're working with our own Microsoft AI

0:32:53.880 --> 0:32:57.320
<v Speaker 12>models for kind of great cost efficiency benefit, and we're

0:32:57.360 --> 0:32:59.800
<v Speaker 12>also looking at open source models to go provide even

0:32:59.840 --> 0:33:03.280
<v Speaker 12>more variability. So being able to choose one app copilot

0:33:03.360 --> 0:33:06.320
<v Speaker 12>and have any number of models available in it is

0:33:06.360 --> 0:33:08.520
<v Speaker 12>resonating with customers because they don't want to get locked

0:33:08.520 --> 0:33:11.640
<v Speaker 12>into one model. Second big thing if you do use

0:33:11.760 --> 0:33:17.040
<v Speaker 12>the Microsoft applications like Excel, like Outlook, like PowerPoint, copilot's

0:33:17.040 --> 0:33:19.800
<v Speaker 12>integrated right there. You don't have to go reimagine your

0:33:19.840 --> 0:33:22.720
<v Speaker 12>workflows or rethink where you can go spend your time.

0:33:23.000 --> 0:33:25.200
<v Speaker 12>It has your context and is in the flow of

0:33:25.240 --> 0:33:28.280
<v Speaker 12>work and that's been a great driver of adoption and

0:33:28.360 --> 0:33:31.480
<v Speaker 12>usage for us. And the last bit is every company

0:33:31.600 --> 0:33:35.080
<v Speaker 12>has access to the same models. There's no differentiation and

0:33:35.160 --> 0:33:38.560
<v Speaker 12>access to the models. It all comes from your context

0:33:38.600 --> 0:33:39.840
<v Speaker 12>that you bring to the model.

0:33:39.920 --> 0:33:41.320
<v Speaker 2>So we make it easy.

0:33:41.440 --> 0:33:43.840
<v Speaker 12>So all the data you have in the Microsoft ecosystem,

0:33:44.240 --> 0:33:48.040
<v Speaker 12>inside your mailbox, inside your files, and your documents, in

0:33:48.080 --> 0:33:50.760
<v Speaker 12>your dashboards and reports, we bring that together and we

0:33:50.840 --> 0:33:54.280
<v Speaker 12>help surface it for our customers in copilots. So you

0:33:54.320 --> 0:33:57.560
<v Speaker 12>get the model plus what makes you unique. That combination

0:33:57.720 --> 0:33:59.840
<v Speaker 12>is what's really starting to resonate. Then that's what's you're

0:34:00.040 --> 0:34:00.760
<v Speaker 12>a lot of the growth.

0:34:02.160 --> 0:34:05.360
<v Speaker 3>Charles Lamner, Microsoft VP of co Pilot, Agents and Platform

0:34:05.400 --> 0:34:06.800
<v Speaker 3>it's been great to have you on Bloomberg Tech.

0:34:07.080 --> 0:34:07.880
<v Speaker 2>Thank you very much.

0:34:07.920 --> 0:34:11.640
<v Speaker 3>Indeed, now coming up, D Jagowol South Park Commons joins

0:34:11.719 --> 0:34:16.319
<v Speaker 3>us to discuss the firm's newest fund. It's a pivot

0:34:16.560 --> 0:34:20.440
<v Speaker 3>from precede to sort of higher conviction early stage investing.

0:34:21.120 --> 0:34:22.040
<v Speaker 2>This is Bloomberg Tech.

0:34:33.960 --> 0:34:37.200
<v Speaker 3>South Park Commons, which as back startups including Luma Ai

0:34:37.360 --> 0:34:40.319
<v Speaker 3>and Cognition, launched a new five hundred and seventy five

0:34:40.320 --> 0:34:44.040
<v Speaker 3>million dollar fund as the venture firm expands its investing

0:34:44.120 --> 0:34:49.080
<v Speaker 3>from pre sed to high conviction early stage bets. South

0:34:49.080 --> 0:34:52.600
<v Speaker 3>Park Commons co founder and general partner D Jagool joins us. Now,

0:34:52.680 --> 0:34:57.640
<v Speaker 3>super interesting story, right, I'm trying to understand what the

0:34:57.719 --> 0:35:00.480
<v Speaker 3>strategic change is here, but it seems and reads very

0:35:00.560 --> 0:35:03.360
<v Speaker 3>much like there are all these amazing people you backed

0:35:03.400 --> 0:35:06.640
<v Speaker 3>at the very earliest opportunity, and you want to continue

0:35:06.680 --> 0:35:08.640
<v Speaker 3>backing them and that might mean a bigger check.

0:35:09.760 --> 0:35:11.120
<v Speaker 2>Yeah, Ed, thank you for having me.

0:35:11.200 --> 0:35:13.840
<v Speaker 13>It's super exciting to be talking to you and talking

0:35:13.840 --> 0:35:17.399
<v Speaker 13>to you about our new fund. You know, Ed, we

0:35:17.600 --> 0:35:22.320
<v Speaker 13>started south Park Commons to work with early stage founders

0:35:22.760 --> 0:35:26.840
<v Speaker 13>to inflect their ambition and to help them pursue their biggest, boldest,

0:35:27.000 --> 0:35:30.040
<v Speaker 13>grandest ideas. One of the things we noticed when we

0:35:30.080 --> 0:35:34.080
<v Speaker 13>started in twenty sixteen was that, somewhat counterintuitively, it was

0:35:34.080 --> 0:35:36.960
<v Speaker 13>almost too easy to just go and work on your

0:35:37.040 --> 0:35:40.200
<v Speaker 13>first idea that you think of. And our take was that, well,

0:35:40.200 --> 0:35:42.360
<v Speaker 13>you should take a little bit of time go find

0:35:42.760 --> 0:35:45.400
<v Speaker 13>the version of the idea that is the biggest, you know,

0:35:45.600 --> 0:35:50.120
<v Speaker 13>most ambitious version. And so with that frame, a couple

0:35:50.200 --> 0:35:53.800
<v Speaker 13>of years ago we noticed that the AI Revolution was

0:35:53.840 --> 0:35:57.920
<v Speaker 13>actually fundamentally changing the scope of ambition of our members.

0:35:58.239 --> 0:36:00.320
<v Speaker 13>Whereas you know, five years ago, a lot of folks

0:36:00.320 --> 0:36:03.760
<v Speaker 13>for thinking about vertical SaaS, startups or somewhat more limited

0:36:03.800 --> 0:36:07.120
<v Speaker 13>i would say ideas. Today people are coming to us

0:36:07.200 --> 0:36:12.120
<v Speaker 13>with ideas for building nuclear powered essentially cargo ships, alternative

0:36:12.200 --> 0:36:16.080
<v Speaker 13>versions of launching things into space. They're looking to basically

0:36:16.280 --> 0:36:20.040
<v Speaker 13>completely transform our great infrastructure in America. And I think

0:36:20.080 --> 0:36:22.439
<v Speaker 13>that a lot of our take with the new Fund

0:36:22.560 --> 0:36:26.160
<v Speaker 13>is that we want the ambition of our fund to

0:36:26.280 --> 0:36:28.640
<v Speaker 13>match the ambition of what a members tackle. And that

0:36:28.719 --> 0:36:30.799
<v Speaker 13>does mean right being able to write bigger checks and

0:36:30.840 --> 0:36:34.279
<v Speaker 13>to be a high conviction partner. Further down, kind of

0:36:34.320 --> 0:36:35.839
<v Speaker 13>like the capital stack.

0:36:36.480 --> 0:36:39.560
<v Speaker 2>You have a minus one to zero model. What does

0:36:39.600 --> 0:36:40.000
<v Speaker 2>that mean?

0:36:41.040 --> 0:36:43.560
<v Speaker 13>What that really means is that, you know, when you

0:36:43.600 --> 0:36:45.719
<v Speaker 13>when you kind of leave a big tech job where

0:36:45.719 --> 0:36:49.319
<v Speaker 13>you kind of leave academia, it's super tempting to go

0:36:49.440 --> 0:36:52.440
<v Speaker 13>and just work on the first thing that comes to

0:36:52.440 --> 0:36:54.120
<v Speaker 13>your mind. You know, I, you know, I started as

0:36:54.120 --> 0:36:56.880
<v Speaker 13>s PC because when I when I left drop Box

0:36:56.880 --> 0:36:59.480
<v Speaker 13>as the CEO there, it's pretty lucky to have a

0:36:59.600 --> 0:37:01.680
<v Speaker 13>number of amazing options, you know, go join a blue

0:37:01.719 --> 0:37:05.120
<v Speaker 13>jab venture firm, go start another company, go join as

0:37:05.160 --> 0:37:08.560
<v Speaker 13>an exec. But Silicon Valley is so good at kind

0:37:08.600 --> 0:37:11.880
<v Speaker 13>of giving you kind of the pattern match to like

0:37:11.920 --> 0:37:13.960
<v Speaker 13>what you should do. If you've done X, you should

0:37:14.000 --> 0:37:17.000
<v Speaker 13>do why. But our take was that instead of jumping

0:37:17.040 --> 0:37:20.560
<v Speaker 13>at the first thing, slow down, take some time, you

0:37:20.600 --> 0:37:23.319
<v Speaker 13>figure out, like what you're truly passionate about. And we

0:37:23.440 --> 0:37:25.200
<v Speaker 13>call that phrase And we didn't have this in the

0:37:25.200 --> 0:37:28.120
<v Speaker 13>beginning when we started SPC, but we now call that

0:37:28.239 --> 0:37:31.520
<v Speaker 13>gestation phase the minus one to zero phase, where you

0:37:31.600 --> 0:37:35.759
<v Speaker 13>let ideas gestate, you tinker, you explore, and then over

0:37:35.800 --> 0:37:38.759
<v Speaker 13>the course of like three six nine months, you allow

0:37:38.840 --> 0:37:41.440
<v Speaker 13>the idea to crystallize into the biggest form of what

0:37:41.480 --> 0:37:41.920
<v Speaker 13>it can be.

0:37:43.280 --> 0:37:46.760
<v Speaker 3>Let's take Cognition and Scott Wood as a case study.

0:37:47.200 --> 0:37:51.040
<v Speaker 3>You know, Scott's regular contributor on this show. They have

0:37:51.440 --> 0:37:56.880
<v Speaker 3>had massive success, growth momentum. Take this fund and apply

0:37:57.000 --> 0:38:00.600
<v Speaker 3>it to how you'd now approach cognition and continue back them.

0:38:00.920 --> 0:38:01.760
<v Speaker 2>It's a great example.

0:38:01.760 --> 0:38:03.759
<v Speaker 13>You know, Scott actually started his first company out of

0:38:03.760 --> 0:38:05.720
<v Speaker 13>South Park Commons as well, which was called Lunch Club,

0:38:06.160 --> 0:38:07.960
<v Speaker 13>and he was one of the first members that we

0:38:08.000 --> 0:38:12.359
<v Speaker 13>had at SBC circut twenty seventeen, twenty eighteen. And when

0:38:12.400 --> 0:38:15.479
<v Speaker 13>I look at being you know what Scott started working

0:38:15.560 --> 0:38:18.560
<v Speaker 13>on three years ago or four years ago now, you know,

0:38:18.600 --> 0:38:21.600
<v Speaker 13>basically like what would the modern coding stack look like

0:38:21.920 --> 0:38:25.239
<v Speaker 13>with the early forms of Devin. I think that when

0:38:25.239 --> 0:38:27.520
<v Speaker 13>I look at how I would apply this new fund

0:38:27.640 --> 0:38:29.719
<v Speaker 13>is that I would just back up the truck with

0:38:29.800 --> 0:38:32.520
<v Speaker 13>the first check and basically like right as big a

0:38:32.560 --> 0:38:35.160
<v Speaker 13>check as possible to Scott, and then continue to back

0:38:35.239 --> 0:38:37.799
<v Speaker 13>him in kind of like later rounds, but obviously also

0:38:37.840 --> 0:38:40.640
<v Speaker 13>working closely with the ecosystem. I think that it's so

0:38:40.680 --> 0:38:43.000
<v Speaker 13>easy to paint Silicon Valley kind of funding is a

0:38:43.120 --> 0:38:45.879
<v Speaker 13>zero sum game. But I strongly believe that in order

0:38:45.960 --> 0:38:48.760
<v Speaker 13>to kind of allow a company to achieve its asymptotic success.

0:38:48.960 --> 0:38:49.759
<v Speaker 2>You need to work with.

0:38:49.760 --> 0:38:52.560
<v Speaker 13>You know, I know you had Alfred in pat You

0:38:52.560 --> 0:38:55.560
<v Speaker 13>know obviously all of kind of like the folks downstream

0:38:55.600 --> 0:38:56.400
<v Speaker 13>of us as well.

0:38:57.520 --> 0:38:58.920
<v Speaker 2>Really appreciate that reference.

0:38:59.000 --> 0:39:01.680
<v Speaker 3>But you know, it's interesting to see what's also happening

0:39:01.719 --> 0:39:04.640
<v Speaker 3>with a focus at the earlier stage at Djagguarral, co

0:39:04.719 --> 0:39:07.880
<v Speaker 3>founder and general partner at South Park Commons, thank you

0:39:07.960 --> 0:39:10.200
<v Speaker 3>very much. Let's get over to New York where bloomblogs

0:39:10.239 --> 0:39:12.120
<v Speaker 3>You Hira and end is standing by, Hi you Hira,

0:39:12.360 --> 0:39:12.719
<v Speaker 3>Hi ed.

0:39:13.160 --> 0:39:14.640
<v Speaker 14>It's time now for talking tech.

0:39:14.719 --> 0:39:15.120
<v Speaker 2>First up.

0:39:15.239 --> 0:39:18.840
<v Speaker 14>TSMC reported a forty five percent rise in its monthly sales,

0:39:18.880 --> 0:39:23.239
<v Speaker 14>demonstrating demand for hardware has no signs of slowing down,

0:39:23.280 --> 0:39:26.200
<v Speaker 14>with revenue reaching fourteen and a half billion dollars in July.

0:39:26.320 --> 0:39:30.560
<v Speaker 14>The chip maker also raised its spending and revenue projections

0:39:30.600 --> 0:39:34.120
<v Speaker 14>for the year plus. Boeing will sell several of its

0:39:34.200 --> 0:39:38.440
<v Speaker 14>units that specialize in developing technologies for flying taxis to

0:39:38.640 --> 0:39:41.560
<v Speaker 14>Archer Aviation. The move comes as Boeing looks to sharpen

0:39:41.600 --> 0:39:45.080
<v Speaker 14>its focus on its core commercial and defense units. Archer

0:39:45.120 --> 0:39:49.319
<v Speaker 14>will take over Boeing's Whisk Skygrid and institute units, while

0:39:49.360 --> 0:39:52.640
<v Speaker 14>Boeing will take a stake in Archer and a new

0:39:52.680 --> 0:39:57.080
<v Speaker 14>partnership made by Anthropping, McCrory, Asset Management and GIC will

0:39:57.080 --> 0:40:01.640
<v Speaker 14>focus on establishing Thesius Infrastructure Sure, a new entity to develop,

0:40:01.920 --> 0:40:06.279
<v Speaker 14>operate and lease data center facilities. Macquarie and GIC will

0:40:06.280 --> 0:40:09.680
<v Speaker 14>own the infrastructure and fund the project well. In Thropic

0:40:09.760 --> 0:40:14.040
<v Speaker 14>we'll provide AI compute demand and long term lease commitments.

0:40:14.360 --> 0:40:14.520
<v Speaker 4>Edit.

0:40:15.239 --> 0:40:16.040
<v Speaker 2>Thank you hiring.

0:40:16.080 --> 0:40:18.920
<v Speaker 3>Now coming up, Hollywood is having a comeback year. So

0:40:18.920 --> 0:40:22.080
<v Speaker 3>what's getting people off the couch and back into theaters.

0:40:22.760 --> 0:40:36.440
<v Speaker 3>We'll look at that next. This is Bloomberg Tech. Hollywood's

0:40:36.480 --> 0:40:39.840
<v Speaker 3>making a box office comeback. Global ticket sales about fifteen

0:40:39.880 --> 0:40:43.720
<v Speaker 3>percent and five movies have already crossed the one billion

0:40:43.719 --> 0:40:46.719
<v Speaker 3>dollar mark. This is the year we went back to

0:40:46.760 --> 0:40:49.960
<v Speaker 3>the movies. Bloomberg's Luca Shaw, who leads our team at

0:40:49.960 --> 0:40:52.239
<v Speaker 3>screen time. All things media and entertainment is with us.

0:40:52.320 --> 0:40:55.160
<v Speaker 3>It's just packed full of data. But basically there are

0:40:55.200 --> 0:40:58.520
<v Speaker 3>those five titles, there's the balance of the calendar year

0:40:58.560 --> 0:41:01.040
<v Speaker 3>with what's to come, and right now we're heading for

0:41:01.080 --> 0:41:03.400
<v Speaker 3>the best year at the box office since twenty nineteen.

0:41:03.920 --> 0:41:08.520
<v Speaker 12>The question out of for you is why it's just volume.

0:41:08.680 --> 0:41:11.560
<v Speaker 15>Right, you mentioned the five titles that have crossed a billion.

0:41:11.600 --> 0:41:14.919
<v Speaker 15>It certainly helps to have this new Spider Man movie

0:41:14.960 --> 0:41:16.399
<v Speaker 15>is going to be one of the highest grossing movies

0:41:16.440 --> 0:41:19.120
<v Speaker 15>of all time, The Odyssey is Christopher Nolan's highest grossing

0:41:19.120 --> 0:41:21.799
<v Speaker 15>movie of all time, and on and on. But there's

0:41:21.960 --> 0:41:25.520
<v Speaker 15>also a lot of kind of hits throughout the year

0:41:25.800 --> 0:41:28.520
<v Speaker 15>and of different scale in size. Right, So you go

0:41:28.640 --> 0:41:30.640
<v Speaker 15>back a couple of months ago, and everyone wanted to

0:41:30.680 --> 0:41:33.400
<v Speaker 15>talk about Obsession and back Rooms, which were kind of

0:41:33.440 --> 0:41:35.680
<v Speaker 15>the two indie horror movies that were made by YouTube

0:41:35.680 --> 0:41:39.160
<v Speaker 15>filmmakers and both ended up outgrossing a Star Wars movie.

0:41:39.280 --> 0:41:43.000
<v Speaker 15>And so I think they saw that as a positive

0:41:43.040 --> 0:41:45.240
<v Speaker 15>sign to have everything from the smallest to the biggest.

0:41:46.120 --> 0:41:47.719
<v Speaker 15>And then you have a lot of you know, a

0:41:47.760 --> 0:41:49.840
<v Speaker 15>lot of potential lessons to learn from this year in

0:41:49.920 --> 0:41:51.960
<v Speaker 15>terms of what types of movies, how you want to

0:41:51.960 --> 0:41:55.560
<v Speaker 15>space them out, how much time and give franchises off

0:41:55.560 --> 0:41:56.720
<v Speaker 15>in between new titles.

0:41:58.440 --> 0:41:59.840
<v Speaker 3>The what's to come the rest of the year is

0:42:00.000 --> 0:42:06.640
<v Speaker 3>really interesting. It's December, Avengers, Doomsday and the June Part three.

0:42:07.000 --> 0:42:09.759
<v Speaker 3>Like the timing of that's interesting, but it could it

0:42:09.800 --> 0:42:13.200
<v Speaker 3>could push this year even deeper into a successful territory.

0:42:14.040 --> 0:42:14.239
<v Speaker 2>Yeah.

0:42:14.280 --> 0:42:18.360
<v Speaker 15>Well, look, it's funny how people react to the movie business,

0:42:18.360 --> 0:42:20.840
<v Speaker 15>because if you go back to February or March, everyone

0:42:20.920 --> 0:42:23.919
<v Speaker 15>was freaked out because you know, the business has been

0:42:24.080 --> 0:42:25.520
<v Speaker 15>hurt ever since the pandemic.

0:42:25.719 --> 0:42:27.040
<v Speaker 2>It has never really bounced back.

0:42:27.080 --> 0:42:30.839
<v Speaker 15>We've had some glimmers of hope with Barbenheimer and Top

0:42:30.880 --> 0:42:33.719
<v Speaker 15>Gun Maverick, but never sustained success. People thought it was

0:42:33.719 --> 0:42:35.600
<v Speaker 15>going to be twenty five. Now it feels like twenty six.

0:42:35.960 --> 0:42:37.720
<v Speaker 15>The next few months are going to be pretty fallow.

0:42:37.800 --> 0:42:40.440
<v Speaker 15>There's not a lot coming out in September or October,

0:42:40.680 --> 0:42:42.360
<v Speaker 15>but I think there are a couple of movies around

0:42:42.360 --> 0:42:45.319
<v Speaker 15>Thanksgiving in the New Hunger Games and a new in

0:42:45.360 --> 0:42:47.319
<v Speaker 15>the North, the Foker's franchise that and be big, and

0:42:47.440 --> 0:42:49.080
<v Speaker 15>certainly Avenders in Dune.

0:42:49.960 --> 0:42:53.080
<v Speaker 3>Lucas just real Quick as a case study project, Hail Mary.

0:42:53.480 --> 0:42:55.920
<v Speaker 3>What's amazing about that is that Amazon would concede they

0:42:55.920 --> 0:42:57.600
<v Speaker 3>didn't expect it to be such a hit.

0:42:58.920 --> 0:43:02.520
<v Speaker 15>Yeah, with the head of their movie studio, Courtney Valente,

0:43:02.560 --> 0:43:04.480
<v Speaker 15>who was like, yeah, if you told us that this

0:43:04.640 --> 0:43:06.279
<v Speaker 15>was going to be a movie that grossed almost seven

0:43:06.360 --> 0:43:08.640
<v Speaker 15>hundred million dollars, we would have said, you're crazy now

0:43:08.840 --> 0:43:10.680
<v Speaker 15>worth noting that it was based on a book by

0:43:10.680 --> 0:43:13.400
<v Speaker 15>Andy Weer, who also wrote The Martian, which became a

0:43:13.440 --> 0:43:14.880
<v Speaker 15>massive hit starring Matt Damon.

0:43:16.000 --> 0:43:18.800
<v Speaker 3>I absolutely love the project. Hell Mary Rocky goes usually

0:43:18.840 --> 0:43:22.680
<v Speaker 3>you not stupid? Why stupid question? I think about that

0:43:22.680 --> 0:43:25.000
<v Speaker 3>a lot. Blimbos Lucas Shaw, who leads the team at

0:43:25.000 --> 0:43:28.319
<v Speaker 3>screen time, thank you very much. Indeed, that does it

0:43:28.360 --> 0:43:31.000
<v Speaker 3>for this edition of Bloomberg Tech, We're going to look

0:43:31.000 --> 0:43:32.720
<v Speaker 3>again at the markets and kind of the top stories

0:43:32.760 --> 0:43:36.080
<v Speaker 3>that we've been tracking, which is Techtok's largely being flat,

0:43:36.239 --> 0:43:40.400
<v Speaker 3>underperformance in chip stocks, Intel coming back to the equity markets,

0:43:40.440 --> 0:43:44.520
<v Speaker 3>first public share sales since it listed in nineteen seventy one.

0:43:44.960 --> 0:43:49.200
<v Speaker 3>And then there's Apple downgraded at Jeffreys. There's a lot

0:43:49.200 --> 0:43:51.719
<v Speaker 3>of concern about them being able to maintain higher every

0:43:51.760 --> 0:43:55.240
<v Speaker 3>selling prices, but Jeffrey's saying, based on supply chain checks,

0:43:55.560 --> 0:43:58.719
<v Speaker 3>Apple is canceling an all glass iPhone, something Bloomberg and

0:43:58.760 --> 0:44:00.520
<v Speaker 3>Mark German have reported deeply on.

0:44:00.719 --> 0:44:02.360
<v Speaker 2>So much to recap in the podcast.

0:44:02.400 --> 0:44:04.719
<v Speaker 3>You know where to find it on the Bloomberg platforms

0:44:04.760 --> 0:44:08.160
<v Speaker 3>and online. On Apple Spotify and iHeart.

0:44:08.560 --> 0:44:10.640
<v Speaker 2>What a start of the week. This is Bloomberg Tech