WEBVTT - World Economic Forum and Apple Vs. Supreme Court

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<v Speaker 1>From Bahart where Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet Nbon.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed.

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<v Speaker 3>Ludlove Ourmed Ludlow in San Francisco. Caroline hides off this week.

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<v Speaker 3>This is Bloomberg Technology coming up on the program. Full

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<v Speaker 3>coverage from the World Economic Forum as tech heavyweights to

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<v Speaker 3>send on Davos. We hear from Sam Altman, Satya Nadella,

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<v Speaker 3>Marc Benioff, and many more. Plus the US Supreme Court

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<v Speaker 3>rejects Apple's bid for an epic app store review. Details

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<v Speaker 3>ahead on the decision that will likely affects billions of

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<v Speaker 3>dollars in revenue for the iPhone maker, and Microsoft is

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<v Speaker 3>announcing the next phase of its co pilot journey. We'll

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<v Speaker 3>discuss the news with Microsoft's executive vice president Yusuf Mehdi.

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<v Speaker 3>Welcome back after a holiday weekend here in the United States.

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<v Speaker 3>The big story is Apple. This was the market mover

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<v Speaker 3>and give them Apple's market cap, dragging indices to the

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<v Speaker 3>downside softom by one point seven percent. Those declinents have

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<v Speaker 3>been deeper. The US Supreme Court rejecting Apple's appeal of

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<v Speaker 3>an appeals court decision earlier an anti trust suit which

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<v Speaker 3>challenges the app store. I want to bring in Bloomberg's

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<v Speaker 3>Mark German, our chief correspondent who leads our coverage of

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<v Speaker 3>Apple and Mark. It's hard to understand the legal ease

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<v Speaker 3>here because it's an appeal of an appeal. But explain

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<v Speaker 3>this morning's news to our audience.

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<v Speaker 2>ED, thanks for having me this morning as always. Yes,

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<v Speaker 2>So let me explain Epic Games.

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<v Speaker 4>Apple.

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<v Speaker 2>They were in this major lawsuit a few years ago

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<v Speaker 2>over the app store Apple one.

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<v Speaker 4>Most of the lawsuit right.

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<v Speaker 2>Apple One in the sense they were not designated of minoppoly.

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<v Speaker 2>But there was one little car about that Apple lost

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<v Speaker 2>on and that was known as a steering provision. The

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<v Speaker 2>idea where the judge rule that Apple should allow developers

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<v Speaker 2>to include a button inside of their applications to point

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<v Speaker 2>users external to the app store to complete their transactions. Now,

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<v Speaker 2>why is that such a big deal, Because primarily applications

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<v Speaker 2>downloaded via the app Store.

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<v Speaker 4>To the iPhone or the iPad have to use.

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<v Speaker 2>Apple's INAPT billing system that takes between a fifteen percent

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<v Speaker 2>and a thirty percent cut.

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<v Speaker 4>In fact, the majority of Apple services.

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<v Speaker 2>Revenue likely comes from transactions and in app purchases made

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<v Speaker 2>through the app store, and Apple had been appealing that

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<v Speaker 2>for the last several months, all the way up to

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<v Speaker 2>the Supreme Court. Epic had also been appealing their losses

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<v Speaker 2>in that initial trial in California up to the Supreme Court.

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<v Speaker 2>Today Tuesday, the Supreme Court decided they're not going to

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<v Speaker 2>high here either side.

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<v Speaker 4>So that means Epic's not going to get what they want.

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<v Speaker 4>They want Apple to open up the app store completely

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<v Speaker 4>in the US.

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<v Speaker 2>They want them to be designated as an antitrust violator

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<v Speaker 2>as a monopoly.

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<v Speaker 4>Apple is not getting what they want.

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<v Speaker 2>Their appeal here has failed for that carve out for

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<v Speaker 2>the external button for in app purchases. Were going to

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<v Speaker 2>have to wait and see Apple's response here to see

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<v Speaker 2>when they're going to implement this and exactly how. The

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<v Speaker 2>interesting other tidbit year is March seventh is when the

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<v Speaker 2>Digital Markets Act comes into place. The Digital Markets Act

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<v Speaker 2>is in the European Union. This is going to require

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<v Speaker 2>Apple to open up the app store. There allowed outside billing,

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<v Speaker 2>so it's possible Apple's going to try to use that

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<v Speaker 2>same technology to open up the billing in the US

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<v Speaker 2>as well, or they may take another method.

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<v Speaker 4>We'll have to wait and see.

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<v Speaker 2>But either way, not great news for Apple this morning

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<v Speaker 2>nor Epic.

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<v Speaker 5>Yeah.

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<v Speaker 3>We had the European Commission Executive Vice President Margareta Vestla

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<v Speaker 3>on with me live last Friday, and her message was, well,

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<v Speaker 3>I'm meeting with Tim Cook. That meeting happened. You know,

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<v Speaker 3>you have to comply by March seventh. And what she

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<v Speaker 3>told me was she was going to explain to Tim

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<v Speaker 3>Cook and other CEOs how they could comply. Let's get

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<v Speaker 3>back to the app store dispute. There's an iOS iPhone

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<v Speaker 3>user consideration here, a technology consideration that if the High

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<v Speaker 3>Court put into effect the Appeals Court's original decision, you,

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<v Speaker 3>as a developer of an iOS app, can direct the

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<v Speaker 3>consumer elsewhere outside of the iOS ecosystem.

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<v Speaker 5>Right.

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<v Speaker 3>Just explain if I'm an iPhone user what I might

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<v Speaker 3>see going forward.

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<v Speaker 2>Yeah, So, if you're an iPhone user right now, and

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<v Speaker 2>let's say I'll use Fortnite as an example. Let's say

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<v Speaker 2>Fortnite was stole the app store. You want to buy

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<v Speaker 2>a new character, you want to buy a bundle.

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<v Speaker 4>So you click that.

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<v Speaker 2>Maybe it's priced at ten dollars, and traditionally what you

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<v Speaker 2>would have to do is use your app store credentials

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<v Speaker 2>you get to pop up through the app Store. You

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<v Speaker 2>would approve it with touch ID, your pastor base ID.

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<v Speaker 2>It's ten dollars. Seven dollars of that would go to

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<v Speaker 2>the developer.

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<v Speaker 4>Three dollars a go to Apple.

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<v Speaker 2>Now, when this comes into effect that button, maybe you'll

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<v Speaker 2>be able.

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<v Speaker 4>To go to a website to finish the transaction.

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<v Speaker 2>Maybe you'll use Stripe for example, and the vast majority

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<v Speaker 2>in that case of the revenue will then go to

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<v Speaker 2>the developer. Stripe charges maybe three and four percent, Maybe

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<v Speaker 2>it goes PayPal. They take a few percentage points. So

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<v Speaker 2>it's going to mean less revenue for Apple, more revenue

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<v Speaker 2>for the developer. Now there is a scenario here where

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<v Speaker 2>even if apps can point developers to collect payments outside

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<v Speaker 2>of the app Store, Apple could still have a method

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<v Speaker 2>to collect that caament from the developer.

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<v Speaker 4>Maybe the developer at the end of each month needs

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<v Speaker 4>to write Apple a check.

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<v Speaker 2>This is something they've done with dating apps in the

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<v Speaker 2>Netherlands that has required a similar rule.

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<v Speaker 4>But Apple is still trying to collect that money.

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<v Speaker 2>Instead of charging a thirty percent fee, they charge something

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<v Speaker 2>like twenty six or twenty seven percent to taking out

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<v Speaker 2>that processing feed from there too, So it is going

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<v Speaker 2>to be very interesting to see how Apple implements this.

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<v Speaker 2>I would imagine, as they should, they will implement it

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<v Speaker 2>in the way that's the most advantageous to their bottom lie.

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<v Speaker 3>All right, Bloomberg's Mark Gum and our chief correspondent who

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<v Speaker 3>leads our coverage of Apple, thank you very much. A

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<v Speaker 3>pretty complex story. All right, Let's go back to markets

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<v Speaker 3>and our top stories, because on this Tuesday, they're inextricably linked.

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<v Speaker 3>Joining us. Erika Klouer, portfolio manager for the Pgmen and

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<v Speaker 3>Technology Fund Jennison Associates, a one hundred and eighty six

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<v Speaker 3>billion dollar active asset manager that takes a bottom up, fundamental,

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<v Speaker 3>long term investment approach. And I think, when I look

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<v Speaker 3>at your portfolio specifically, Erica, if the story of twenty

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<v Speaker 3>twenty three was the Magnificent seven, you're pretty closely aligned

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<v Speaker 3>with those, one of them being Apple. You will have

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<v Speaker 3>seen the news this morning of the Supreme Court's decision

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<v Speaker 3>to reject Apple's appeal of the Appeals court original decision.

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<v Speaker 3>When you hold a stock like Apple and you consider

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<v Speaker 3>its services revenue, how do you think about the news

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<v Speaker 3>story of this morning in terms of the attractiveness of

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<v Speaker 3>that name.

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<v Speaker 6>Sure well, thank you so much for having me. You know,

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<v Speaker 6>Apple has been a long time holding of Jennison Associates,

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<v Speaker 6>and we look at the business as one that is

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<v Speaker 6>extraordinarily sticky. Companies who use Apple products and consumers who

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<v Speaker 6>use Apple products tend to have a difficult time switching

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<v Speaker 6>over to other platforms. As a result, the sustainability of

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<v Speaker 6>the services business is incredibly attractive. Certainly, if you look

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<v Speaker 6>on the hardware side of the part of the business,

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<v Speaker 6>there is more competition. There also is saturation and maturity

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<v Speaker 6>in that business. So really what drives our investment decision

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<v Speaker 6>is the sustainability of that services business.

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<v Speaker 3>Erica. The other big story of the morning which we

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<v Speaker 3>have to discuss is FED speak. In fact, it will

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<v Speaker 3>probably be the speak of the week, and FED Governor

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<v Speaker 3>Waller is kind of front and center, basically saying the

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<v Speaker 3>FED may need to cut rates this year, emphasis on

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<v Speaker 3>this year, depending on inflation, but there is no need

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<v Speaker 3>to go as deep or as fast as historically a

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<v Speaker 3>FED might have done. How does that inform your view

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<v Speaker 3>of the technology sector.

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<v Speaker 6>Sure well, Jennison is a bottoms up research house and

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<v Speaker 6>so we tend to look at companies over a longer

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<v Speaker 6>period of time. Looking at the duration is the sustainability

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<v Speaker 6>of the company's competitive advantages. But one of the critical

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<v Speaker 6>factors that goes into our decision making at Jennison is

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<v Speaker 6>really looking at the ability of technology companies to be

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<v Speaker 6>deflationary over time, and we think that is going to

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<v Speaker 6>be more important than ever over the next three to

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<v Speaker 6>five years, as companies are able to use AI to

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<v Speaker 6>bring down their costs to increase their productivity to an

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<v Speaker 6>extent that we do not think is properly discounted in

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<v Speaker 6>many of the share prices today.

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<v Speaker 3>Two of your biggest holdings are in Nvidia and I

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<v Speaker 3>believe also Broadcom. You know, we go back to that

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<v Speaker 3>Magnificent seven discussion of last year. Are those solely AI

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<v Speaker 3>stories to your mind?

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<v Speaker 6>Great question. We at Jennison Associates have owned in Vidia

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<v Speaker 6>since twenty sixteen and broadcome about the same time period,

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<v Speaker 6>and the reason for the duration of those holdings is

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<v Speaker 6>that we look to those companies as key enablers within

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<v Speaker 6>artificial intelligence deployment. Certainly in Nvidia is more of a

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<v Speaker 6>pure play in that arena. Broadcom is a little bit

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<v Speaker 6>different in the sense that it not only has aiasic

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<v Speaker 6>parts custom parts that it makes for hyperscalers such as Google,

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<v Speaker 6>but it also has a very strong portfolio of networking

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<v Speaker 6>products that we think are going to be essential within

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<v Speaker 6>the AI ecosystem, and beyond that, they have very strong

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<v Speaker 6>market share in many other semiconductor businesses that may be

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<v Speaker 6>more mature, but the company has extraordinary pricing power that

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<v Speaker 6>has sustained over the last decade and we think will

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<v Speaker 6>extend for the next decade as well.

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<v Speaker 3>Another name that you hold is AMD. The stock currently

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<v Speaker 3>up almost eight percent, putting it on track for its

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<v Speaker 3>biggest jump since early December. A lot of analysts have

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<v Speaker 3>been updating their price targets on this name. I sat

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<v Speaker 3>down with Lisa Sue when they kind of fully launched

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<v Speaker 3>the MII three hundred X and started to really build

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<v Speaker 3>up their AI story and boost their forecasts. It's the

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<v Speaker 3>same quest question, do you see AMD as an AI

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<v Speaker 3>play or something broader?

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<v Speaker 6>Well, As you point out, AMD is one of the

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<v Speaker 6>top holdings that Jennison Associates, and the reason for that

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<v Speaker 6>is not only do we think that the company has

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<v Speaker 6>a very viable and important product portfolio to address the

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<v Speaker 6>AI opportunities, but we also look to the PC segment,

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<v Speaker 6>which may not be getting so much attention as AI

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<v Speaker 6>does today because it's not as exciting. It's a more

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<v Speaker 6>mature industry. But I think that there is going to

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<v Speaker 6>be an important multi year upgrade cycle two aipcs and

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<v Speaker 6>their AMD is very well positioned to continue to gain

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<v Speaker 6>market share and increase its average selling prices. So we

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<v Speaker 6>think the combination of those two markets, along with its

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<v Speaker 6>very strong portfolio programmable logic devices, which goes into different

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<v Speaker 6>end markets, is going to push advanced micro devices earnings

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<v Speaker 6>higher than expectations for the next several years.

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<v Speaker 3>Eric I think one thing that many of this names

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<v Speaker 3>having common other than the sort of battleground for high

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<v Speaker 3>performance GPU, is exposure to China. And there is the

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<v Speaker 3>policy side of this, where the US has clear export

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<v Speaker 3>controls and restrictions of technology to China, and then there's

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<v Speaker 3>the politics side of it. And I believe that one

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<v Speaker 3>of China's vice premieres this morning was trying to say, like, look,

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<v Speaker 3>we need open access to technology. Is an investor, where

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<v Speaker 3>do you position yourself within that?

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<v Speaker 6>This is a great question. I would say that the

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<v Speaker 6>biggest concern that we have at Jennison at this point

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<v Speaker 6>is the strain on relations with China visa the ability

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<v Speaker 6>for there to be technology innovation. Undoubtedly, the world is

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<v Speaker 6>much more globally interconnected with regards to technology deployment, innovation

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<v Speaker 6>and supply chain. With there being so much more, frankly

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<v Speaker 6>tension between the US and China, this is an area

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<v Speaker 6>that gives us a lot of concern. We still believe

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<v Speaker 6>that the pace of innovation will continue, but we are

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<v Speaker 6>monitoring the situation very tightly. As one example, the biggest

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<v Speaker 6>foundry in the world, the biggest maker of semiconductors in

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<v Speaker 6>the world for other companies, is Taiwan Semiconductor. If TSMC's

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<v Speaker 6>supply chain is disrupted, that would harm the entire technology

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<v Speaker 6>industry and frankly, the global economy. So this is a

0:12:23.960 --> 0:12:26.360
<v Speaker 6>very important issue that we are monitoring at Jennison.

0:12:27.520 --> 0:12:31.520
<v Speaker 3>Erica Klaud, portfolio manager for the PGM Jennison Technology Fund.

0:12:31.880 --> 0:12:34.839
<v Speaker 3>A lot of covered ground there, very wide knowledge based,

0:12:34.880 --> 0:12:37.480
<v Speaker 3>great discussion. Good to have you on the program. Now

0:12:37.559 --> 0:12:40.000
<v Speaker 3>coming up, we're going to get more from Davos. That's

0:12:40.040 --> 0:12:52.400
<v Speaker 3>coming up next here this is Bloomberg Technology. Okay, it's

0:12:52.440 --> 0:12:55.160
<v Speaker 3>time for talking tech and first stop Saudi Arabia's Sovereign

0:12:55.200 --> 0:12:59.199
<v Speaker 3>Wealth Fund, the public Investment Funds plans make big investments

0:12:59.200 --> 0:13:02.800
<v Speaker 3>in both the semiductor and space industries this year. That's

0:13:02.800 --> 0:13:06.240
<v Speaker 3>according to its Minister of Communications. The Kingdom has been

0:13:06.360 --> 0:13:10.319
<v Speaker 3>ramping up efforts to diversify its economy away from oil

0:13:10.600 --> 0:13:14.360
<v Speaker 3>and speaking of semiconductors, chip design company Synopsis has agreed

0:13:14.360 --> 0:13:17.880
<v Speaker 3>to buy software developer and Sis for about thirty four

0:13:18.000 --> 0:13:21.440
<v Speaker 3>billion dollars in cash and stock, according to an announcement

0:13:21.480 --> 0:13:24.800
<v Speaker 3>by the companies, The dealers set to expand Synopsis' customer

0:13:24.840 --> 0:13:28.640
<v Speaker 3>base and its suite of products. Plus, Netflix is testing

0:13:28.679 --> 0:13:31.840
<v Speaker 3>a joint plan with French retailer car four in a

0:13:31.880 --> 0:13:35.800
<v Speaker 3>pilot project to win more customers to its cheapest subscription,

0:13:35.920 --> 0:13:39.520
<v Speaker 3>mimicking a model used by Amazon to boost its streaming customers.

0:13:39.679 --> 0:13:42.440
<v Speaker 3>If enough users sign up to the trialcar four said

0:13:42.440 --> 0:13:47.320
<v Speaker 3>it will expand the offer to its customers all across France. Okay, So,

0:13:47.360 --> 0:13:50.440
<v Speaker 3>the World Economic Forum is underway in Davos, and Open

0:13:50.480 --> 0:13:54.560
<v Speaker 3>AI CEO Sam Outman joined Bloomberg's Brad Stone to discuss

0:13:54.600 --> 0:13:58.840
<v Speaker 3>the upcoming election and the influence AI could have on jobs.

0:13:58.840 --> 0:13:59.319
<v Speaker 3>Have a listen.

0:14:01.920 --> 0:14:03.480
<v Speaker 7>I think there's a lot at stake at this election.

0:14:03.559 --> 0:14:07.720
<v Speaker 7>I think elections are you know, huge deals. I believe

0:14:08.120 --> 0:14:10.439
<v Speaker 7>that America is going to be fine no matter what

0:14:10.480 --> 0:14:12.880
<v Speaker 7>happens in this election. I believe that AI is going

0:14:12.960 --> 0:14:15.000
<v Speaker 7>to be fine no matter what happens in this election,

0:14:15.160 --> 0:14:16.880
<v Speaker 7>and we will have to work very hard to make

0:14:16.920 --> 0:14:21.640
<v Speaker 7>it so. But this is not you know, no one

0:14:21.640 --> 0:14:23.880
<v Speaker 7>wants to set up here and like hear me rant

0:14:23.880 --> 0:14:28.680
<v Speaker 7>about politics, I'm going to stop after this. But I

0:14:28.800 --> 0:14:31.800
<v Speaker 7>think there has been a real failure to sort of

0:14:32.840 --> 0:14:36.600
<v Speaker 7>learn lessons about what's kind of like working for the

0:14:36.640 --> 0:14:37.880
<v Speaker 7>citizens of America and let's.

0:14:37.720 --> 0:14:40.040
<v Speaker 8>Not there are political figures in the US and around

0:14:40.080 --> 0:14:43.520
<v Speaker 8>the world like Donald Trump who have successfully tapped into

0:14:43.840 --> 0:14:48.920
<v Speaker 8>a feeling of dislocation, anger of the working class.

0:14:48.560 --> 0:14:52.960
<v Speaker 9>If the feeling of it, you know, exacerbbaiting inequality or

0:14:53.560 --> 0:14:57.480
<v Speaker 9>technology leaving people behind. Is there the danger that you know,

0:14:57.560 --> 0:14:59.080
<v Speaker 9>AI furthers those trends.

0:14:59.160 --> 0:14:59.920
<v Speaker 4>Yes, for sure.

0:15:00.120 --> 0:15:03.120
<v Speaker 7>I think that's something to think about. But one of

0:15:03.120 --> 0:15:06.600
<v Speaker 7>the things that surprised us very pleasantly on the upside,

0:15:06.880 --> 0:15:08.640
<v Speaker 7>because you know, when you start building a technology, you

0:15:08.680 --> 0:15:10.840
<v Speaker 7>start doing research, you kind of say, well, we'll follow

0:15:10.840 --> 0:15:12.760
<v Speaker 7>where the science leads us. And when you put a product.

0:15:12.800 --> 0:15:14.640
<v Speaker 7>You'll say, this is going to co above with society

0:15:14.880 --> 0:15:16.360
<v Speaker 7>and will follow where users lead.

0:15:16.280 --> 0:15:19.880
<v Speaker 3>Us, but it's not. You get to steer it, but

0:15:20.000 --> 0:15:20.800
<v Speaker 3>only somewhat.

0:15:20.840 --> 0:15:23.640
<v Speaker 7>There's some which is just like, this is what the

0:15:23.680 --> 0:15:26.200
<v Speaker 7>technology can do, this is how people want to use it,

0:15:26.720 --> 0:15:28.720
<v Speaker 7>and this is what it's capable of. And this has

0:15:28.760 --> 0:15:31.760
<v Speaker 7>been much more of a tool than I think we expected.

0:15:31.840 --> 0:15:34.560
<v Speaker 7>It is not yet and again in the future it'll

0:15:35.000 --> 0:15:38.320
<v Speaker 7>it'll get better, but it's not yet like replacing jobs

0:15:38.320 --> 0:15:40.320
<v Speaker 7>in the way or to the degree that people thought

0:15:40.320 --> 0:15:42.960
<v Speaker 7>it was going to. It is this incredible tool for

0:15:43.040 --> 0:15:46.280
<v Speaker 7>productivity and you can see people magnifying what they can

0:15:46.320 --> 0:15:49.560
<v Speaker 7>do by a factor of two or five or in

0:15:49.600 --> 0:15:51.400
<v Speaker 7>some way that doesn't even talk to it makes sense

0:15:51.400 --> 0:15:52.880
<v Speaker 7>to talk about a number, because they just couldn't do

0:15:52.880 --> 0:15:56.720
<v Speaker 7>the things at all before. And that is I think

0:15:56.840 --> 0:16:00.480
<v Speaker 7>quite exciting, this new vision of the future that we

0:16:00.520 --> 0:16:02.720
<v Speaker 7>didn't really see when we started. We kind of didn't

0:16:02.720 --> 0:16:04.400
<v Speaker 7>know how it was going to go, and very thankful

0:16:04.440 --> 0:16:06.920
<v Speaker 7>the technology did go in this direction. But where this

0:16:07.040 --> 0:16:09.960
<v Speaker 7>is a tool that magnifies what humans do, lets people

0:16:09.960 --> 0:16:13.160
<v Speaker 7>do their jobs better, lets the AI do parts of jobs,

0:16:13.360 --> 0:16:15.120
<v Speaker 7>and of course jobs will change and of course some

0:16:15.240 --> 0:16:18.440
<v Speaker 7>jobs will totally go away, But the human drives are

0:16:18.480 --> 0:16:20.640
<v Speaker 7>so strong in the sort of way that society works,

0:16:20.640 --> 0:16:23.560
<v Speaker 7>is so strong that I think, and I can't believe

0:16:23.560 --> 0:16:26.240
<v Speaker 7>I'm saying this, because it would have sounded like an

0:16:26.360 --> 0:16:28.680
<v Speaker 7>ungrammatical sentence to me at some point, but I think

0:16:28.720 --> 0:16:32.200
<v Speaker 7>AGI will get developed in the reasonably close ish future,

0:16:32.640 --> 0:16:34.760
<v Speaker 7>and it'll change the world much less than we all think.

0:16:34.760 --> 0:16:37.160
<v Speaker 7>It'll change jobs much less than we all think. And

0:16:37.200 --> 0:16:40.360
<v Speaker 7>again that sounds I may be wrong again now, but

0:16:40.520 --> 0:16:42.840
<v Speaker 7>that wouldn't even compiled for me as a sentence at

0:16:42.840 --> 0:16:45.120
<v Speaker 7>some point, given my conception then of how EGI was

0:16:45.120 --> 0:16:45.480
<v Speaker 7>going to go.

0:16:45.560 --> 0:16:48.720
<v Speaker 9>As you've watched the technology develop, have you both changed

0:16:48.760 --> 0:16:52.960
<v Speaker 9>your views on how significant the job dislocation and disruption

0:16:53.080 --> 0:16:55.080
<v Speaker 9>will be as AGI comes into focus.

0:16:55.320 --> 0:16:57.160
<v Speaker 7>You know, you hear a coder say, okay, I'm like,

0:16:57.200 --> 0:16:59.400
<v Speaker 7>two times won't productive, three times won't productive whatever then

0:16:59.400 --> 0:17:01.240
<v Speaker 7>they used to be, and I can never code again

0:17:01.280 --> 0:17:03.200
<v Speaker 7>without this tool. You mostly hear that from the younger ones.

0:17:03.200 --> 0:17:07.440
<v Speaker 7>But it turns out, and I think this will be

0:17:07.480 --> 0:17:09.560
<v Speaker 7>true for a lot of industries. The world just needs

0:17:09.560 --> 0:17:11.400
<v Speaker 7>a lot more code than we have people to write

0:17:11.440 --> 0:17:14.080
<v Speaker 7>right now. And so it's not like we run out

0:17:14.080 --> 0:17:15.400
<v Speaker 7>of demand. It's that people can.

0:17:15.359 --> 0:17:18.080
<v Speaker 3>Just do more. Expectations go up, but ability goes up.

0:17:18.119 --> 0:17:23.680
<v Speaker 3>To That was open Ais Sam Outman. Let's stick with Davos.

0:17:23.680 --> 0:17:27.359
<v Speaker 3>Bradstone also caught up with Salesforce CEO Mark Benioff to

0:17:27.359 --> 0:17:31.320
<v Speaker 3>discuss the kinds of disruptive changes we can expect with AI.

0:17:31.560 --> 0:17:32.159
<v Speaker 3>Have listened.

0:17:34.320 --> 0:17:38.440
<v Speaker 1>I think this idea that companies like open ai or

0:17:39.320 --> 0:17:42.800
<v Speaker 1>Microsoft and others want to create digital people that can

0:17:42.880 --> 0:17:47.159
<v Speaker 1>do all kinds of tasks that we do. You know,

0:17:47.200 --> 0:17:49.800
<v Speaker 1>will they be taxed to, how they'll be regulated, what

0:17:49.880 --> 0:17:53.560
<v Speaker 1>are the dangers involved? All of these kind of important questions.

0:17:53.600 --> 0:17:55.680
<v Speaker 1>At the same time, we want to have these incredible

0:17:55.720 --> 0:17:59.840
<v Speaker 1>benefits of AI that we're all experiencing better healthcare, better education,

0:18:00.040 --> 0:18:03.199
<v Speaker 1>and you know, augmentation of our yep. Let me tell

0:18:03.200 --> 0:18:05.440
<v Speaker 1>you an incredible story where I was just in Milan

0:18:05.560 --> 0:18:08.800
<v Speaker 1>with Gucci and they brought us into work on their

0:18:08.920 --> 0:18:12.480
<v Speaker 1>call center and very excited. How do we use AI?

0:18:12.680 --> 0:18:16.920
<v Speaker 1>How do we create better customer service? But we don't

0:18:16.960 --> 0:18:19.600
<v Speaker 1>really know what is their end goal? Is it more productivity?

0:18:19.760 --> 0:18:22.639
<v Speaker 1>You know, is it just better customer relationships? Is a

0:18:22.760 --> 0:18:25.240
<v Speaker 1>higher margins. Do they want to reduce staff, do they

0:18:25.280 --> 0:18:29.240
<v Speaker 1>want to increase staff? But when we apply the technology

0:18:29.240 --> 0:18:33.240
<v Speaker 1>that we're seeing now, what we saw was the current

0:18:33.280 --> 0:18:36.400
<v Speaker 1>state of AI, which is really the ability to augment

0:18:36.520 --> 0:18:40.040
<v Speaker 1>human being and human performance, revenues went up thirty percent

0:18:40.760 --> 0:18:45.000
<v Speaker 1>because these individuals who were call center service agents also

0:18:45.080 --> 0:18:49.400
<v Speaker 1>then simultaneously became sales agents marketing agents. They were able

0:18:49.440 --> 0:18:51.040
<v Speaker 1>to do all these things that they just could not

0:18:51.160 --> 0:18:54.880
<v Speaker 1>do before. And that's a tremendous theme I think that's

0:18:54.920 --> 0:18:56.960
<v Speaker 1>going on. I feel that way myself, you know, when

0:18:56.960 --> 0:19:00.920
<v Speaker 1>I'm with chat GPT or co Pilot or anthropict Cloud

0:19:01.080 --> 0:19:04.120
<v Speaker 1>or whatever it is, mister Awl, I get that same feeling,

0:19:04.200 --> 0:19:07.720
<v Speaker 1>Oh wow, I've got a little bit more capability than

0:19:07.760 --> 0:19:12.000
<v Speaker 1>i had before because I'm being augmented through AI. And

0:19:12.040 --> 0:19:16.480
<v Speaker 1>I'm sure it's true in a lot of disciplines. Certainly

0:19:16.480 --> 0:19:18.320
<v Speaker 1>it's true in healthcare, and it's going to be true

0:19:18.359 --> 0:19:20.800
<v Speaker 1>in a lot more things. But we're on an ARC

0:19:20.840 --> 0:19:23.440
<v Speaker 1>and we all know that that you know there, it's

0:19:23.480 --> 0:19:25.200
<v Speaker 1>going to start to be able to do things that

0:19:25.480 --> 0:19:28.520
<v Speaker 1>will be fundamentally a surrogate for what we all do.

0:19:28.520 --> 0:19:31.800
<v Speaker 10>Today and what will determine whether a company can be

0:19:31.840 --> 0:19:33.080
<v Speaker 10>successful with AI or not.

0:19:34.080 --> 0:19:36.840
<v Speaker 1>How long will it be until I come to Davos

0:19:36.880 --> 0:19:39.760
<v Speaker 1>to be interviewed by the Bloomberg AI. That's what I

0:19:39.800 --> 0:19:40.600
<v Speaker 1>really want to know.

0:19:40.760 --> 0:19:43.040
<v Speaker 5>I replace Well, maybe you know.

0:19:43.640 --> 0:19:46.800
<v Speaker 1>I mean, we've been doing this together for a long time, right,

0:19:46.840 --> 0:19:47.879
<v Speaker 1>what a couple decades?

0:19:47.920 --> 0:19:48.680
<v Speaker 5>A few decades?

0:19:48.840 --> 0:19:52.520
<v Speaker 7>I'm not that old, but okay, but you know what

0:19:52.560 --> 0:19:52.840
<v Speaker 7>I mean.

0:19:52.920 --> 0:19:56.080
<v Speaker 1>Where it's like, you know, I don't know when we

0:19:56.119 --> 0:19:59.439
<v Speaker 1>get to this point where there's not just all of

0:19:59.520 --> 0:20:02.440
<v Speaker 1>us in the but there's an AI as well participating

0:20:02.880 --> 0:20:06.440
<v Speaker 1>in this conversation and then work about to create digital people,

0:20:06.520 --> 0:20:09.480
<v Speaker 1>digital salespeople, digital service people, digital marketing people.

0:20:13.040 --> 0:20:16.439
<v Speaker 3>That was Salesforce CEO and chair Mark Benioff explaining that

0:20:16.520 --> 0:20:19.080
<v Speaker 3>my boss, Bradstone and maybe me one day will be

0:20:19.200 --> 0:20:22.160
<v Speaker 3>replaced by AI. Let's see quick check in on the markets.

0:20:22.200 --> 0:20:23.680
<v Speaker 3>We're soft the three tens and one percent on the

0:20:23.720 --> 0:20:26.520
<v Speaker 3>Nazak one hundred, but megacaps are doing some of the

0:20:26.640 --> 0:20:29.840
<v Speaker 3>work to lift up the index, one of those names

0:20:29.840 --> 0:20:32.240
<v Speaker 3>being Microsoft. It's pared some of its earlier gains in

0:20:32.280 --> 0:20:35.080
<v Speaker 3>the session, but we are up three tents of one percent.

0:20:35.320 --> 0:20:38.640
<v Speaker 3>Why well, City and Thedella speaking on Stage and Davos,

0:20:38.680 --> 0:20:41.879
<v Speaker 3>but also some news on what Microsoft's doing with AI.

0:20:41.960 --> 0:20:45.640
<v Speaker 3>Microsoft is now opening up it's AI Assistant co Pilot

0:20:45.880 --> 0:20:50.760
<v Speaker 3>two consumers with access to open AI's latest chat, GPT technology,

0:20:51.000 --> 0:20:54.320
<v Speaker 3>and image creation features. The company also announced it's making

0:20:54.359 --> 0:20:58.360
<v Speaker 3>the corporate version available to smaller companies and SME's delighted

0:20:58.359 --> 0:21:01.080
<v Speaker 3>to say we're joined by Microsoft's corporate or executive vice

0:21:01.119 --> 0:21:03.960
<v Speaker 3>president use of medi for more on this use of

0:21:03.960 --> 0:21:07.120
<v Speaker 3>Good morning to you. This is a substantive step, right

0:21:07.320 --> 0:21:09.879
<v Speaker 3>because you think about all of the people around the

0:21:09.920 --> 0:21:14.159
<v Speaker 3>world that use some form of Microsoft software in their

0:21:14.240 --> 0:21:17.639
<v Speaker 3>daily life. How is Copilot now going to be integrated

0:21:17.680 --> 0:21:20.240
<v Speaker 3>to that if you're an everyday technology user.

0:21:21.560 --> 0:21:24.760
<v Speaker 11>Yeah, more than a yeah, this is a significant step.

0:21:24.880 --> 0:21:26.720
<v Speaker 11>I mean, we've been kind of on a whirldwind with

0:21:26.800 --> 0:21:30.480
<v Speaker 11>Microsoft Copilot. We've had now over five billion chats with

0:21:30.520 --> 0:21:33.040
<v Speaker 11>people using AI and their daily lives. And so today

0:21:33.080 --> 0:21:37.000
<v Speaker 11>we take the next step by bringing more features and expanding.

0:21:36.520 --> 0:21:37.919
<v Speaker 5>More capabilities for people.

0:21:38.320 --> 0:21:41.439
<v Speaker 11>First in the Copilot that we offer broadly, we're going

0:21:41.520 --> 0:21:45.160
<v Speaker 11>to enable new capabilities with a premium subscription called Microsoft

0:21:45.320 --> 0:21:51.120
<v Speaker 11>Copilot Pro, and that gives creators, researchers, writers, analyst programmers,

0:21:51.160 --> 0:21:53.800
<v Speaker 11>the ability to have the very latest AI models, but

0:21:53.840 --> 0:21:56.679
<v Speaker 11>also the ability to have AI within Microsoft apps now

0:21:56.720 --> 0:21:58.760
<v Speaker 11>for the very first time, so they can use it

0:21:58.800 --> 0:22:01.160
<v Speaker 11>an outlook, they can use it in Word to write

0:22:01.160 --> 0:22:04.879
<v Speaker 11>documents because in PowerPoint, and we're providing premium things like

0:22:04.920 --> 0:22:06.720
<v Speaker 11>the ability to build custom GPTs.

0:22:07.200 --> 0:22:08.120
<v Speaker 5>We're also going to make.

0:22:08.000 --> 0:22:11.440
<v Speaker 11>It available to businesses of all sides, so small businesses

0:22:11.480 --> 0:22:14.480
<v Speaker 11>can now get access to Copilot and Microsoft to stepot.

0:22:16.000 --> 0:22:19.879
<v Speaker 3>Yes, a really simple question that investors have had and

0:22:20.000 --> 0:22:23.360
<v Speaker 3>industry andsts have always had is these tools are fantastic.

0:22:24.119 --> 0:22:27.879
<v Speaker 3>How do they help you make money alongside how you

0:22:27.960 --> 0:22:33.200
<v Speaker 3>traditionally sell office tools direct to the consumer or to

0:22:33.320 --> 0:22:35.960
<v Speaker 3>smaller businesses away from the enterprise business.

0:22:37.359 --> 0:22:39.480
<v Speaker 11>Yeah, there's really a couple of different ways ed you know,

0:22:39.560 --> 0:22:41.840
<v Speaker 11>And I would say first and foremost is really early

0:22:41.960 --> 0:22:45.480
<v Speaker 11>in the stages, but the biggest software market because it

0:22:45.560 --> 0:22:48.840
<v Speaker 11>is the online advertising business, the search business, and we've

0:22:48.920 --> 0:22:52.239
<v Speaker 11>clearly seen now with AI and with Microsoft Copilot that

0:22:52.240 --> 0:22:55.159
<v Speaker 11>that is changing and we're seeing more people come to

0:22:55.280 --> 0:22:58.640
<v Speaker 11>use our services, whether it's Copilot, whether it's Mircsoft, edge Mark,

0:22:58.640 --> 0:23:02.040
<v Speaker 11>stoft being or Grown and Share and soil that advertising

0:23:02.080 --> 0:23:05.560
<v Speaker 11>market is an opportunity. And then today with Copilot Pro,

0:23:05.680 --> 0:23:09.359
<v Speaker 11>the premium subscription service, we're able to unlock enhanced AI

0:23:09.440 --> 0:23:12.720
<v Speaker 11>capabilities in our Microsoft through sixty Vibe subscription, of which

0:23:12.720 --> 0:23:15.199
<v Speaker 11>we have now over seventy million people, so that we

0:23:15.240 --> 0:23:17.399
<v Speaker 11>have an ability to grow through a variety of different

0:23:17.440 --> 0:23:20.800
<v Speaker 11>business models and most importantly help people in their laves

0:23:20.880 --> 0:23:21.520
<v Speaker 11>be more creative.

0:23:22.920 --> 0:23:25.320
<v Speaker 3>I always think about the education side of this usef

0:23:25.720 --> 0:23:27.879
<v Speaker 3>You know, there are people that will have always used

0:23:28.080 --> 0:23:31.040
<v Speaker 3>Excel or word, you know, in the course of their

0:23:31.119 --> 0:23:35.159
<v Speaker 3>daily life for their their business. But we kind of

0:23:35.200 --> 0:23:37.399
<v Speaker 3>make the assumption in the first instance that all of

0:23:37.480 --> 0:23:41.000
<v Speaker 3>us will find a copilot tool intuitive, we'll just know

0:23:41.119 --> 0:23:43.959
<v Speaker 3>how to use it. And I wondered if your experience

0:23:44.000 --> 0:23:47.160
<v Speaker 3>at Microsoft is that that's actually the case. How quickly

0:23:47.480 --> 0:23:49.480
<v Speaker 3>do you think it will be adopted by users and

0:23:49.520 --> 0:23:51.560
<v Speaker 3>do you think that they understand how it works.

0:23:53.760 --> 0:23:54.840
<v Speaker 5>It's a great question, ed.

0:23:54.880 --> 0:23:57.080
<v Speaker 11>I mean, we're clearly in the early days, and so

0:23:57.160 --> 0:24:00.639
<v Speaker 11>in some cases, for some people it's immediately inuitive, just

0:24:00.680 --> 0:24:02.680
<v Speaker 11>like people learned to use two thumbs when they were

0:24:03.320 --> 0:24:05.639
<v Speaker 11>a smartphone came out, and for other of us it

0:24:05.680 --> 0:24:07.600
<v Speaker 11>takes a little bit more time to pick it up.

0:24:07.960 --> 0:24:10.720
<v Speaker 11>But in general, it is quite intuitive. You know the

0:24:10.760 --> 0:24:13.680
<v Speaker 11>fact that you can essentially use plain English, use you know,

0:24:13.840 --> 0:24:16.440
<v Speaker 11>natural language. If you're on your phone, you can even

0:24:16.480 --> 0:24:18.720
<v Speaker 11>just speak to it, and you can start to ask

0:24:18.800 --> 0:24:21.119
<v Speaker 11>it questions, and very quickly you can start to find

0:24:21.520 --> 0:24:23.479
<v Speaker 11>some of the magic. And once you find the magic,

0:24:23.600 --> 0:24:25.400
<v Speaker 11>it really is pretty incredible.

0:24:25.680 --> 0:24:25.840
<v Speaker 5>You know.

0:24:25.880 --> 0:24:28.160
<v Speaker 11>I've had a bunch of examples where I've been able

0:24:28.160 --> 0:24:30.240
<v Speaker 11>to take my son had to get an MRI for

0:24:30.320 --> 0:24:30.880
<v Speaker 11>his shoulder.

0:24:31.440 --> 0:24:32.600
<v Speaker 5>I didn't understand all of it.

0:24:32.720 --> 0:24:35.880
<v Speaker 11>I put it into our copilot and it came back

0:24:35.920 --> 0:24:39.080
<v Speaker 11>with plain English. I was able to help create an

0:24:39.080 --> 0:24:40.879
<v Speaker 11>image of a design I wanted to do to do

0:24:40.920 --> 0:24:43.520
<v Speaker 11>a part of our remodel on the house, and that

0:24:43.600 --> 0:24:47.760
<v Speaker 11>just made that instantaneous. And as you find those magical scenarios,

0:24:48.080 --> 0:24:49.640
<v Speaker 11>you just kind of naturally want to seek it out

0:24:49.640 --> 0:24:51.080
<v Speaker 11>and use it more. Kind of like the early days

0:24:51.080 --> 0:24:53.600
<v Speaker 11>of search, where people didn't know quite how of search,

0:24:53.640 --> 0:24:55.159
<v Speaker 11>and now people are quite fascile with it.

0:24:56.440 --> 0:24:59.720
<v Speaker 3>I am really interested in the seme or small business

0:24:59.720 --> 0:25:03.440
<v Speaker 3>part this equation because we're kind of debating, well, or

0:25:03.480 --> 0:25:06.159
<v Speaker 3>will we not have a recession, what is the health

0:25:06.200 --> 0:25:09.480
<v Speaker 3>of the small and medium sized business, particularly in North America,

0:25:09.520 --> 0:25:13.240
<v Speaker 3>but globally. You know, it can be a big decision

0:25:13.359 --> 0:25:16.440
<v Speaker 3>to invest in a piece of software or a piece

0:25:16.480 --> 0:25:20.960
<v Speaker 3>of infrastructure. How do you see that rollout with SMEs

0:25:21.000 --> 0:25:23.240
<v Speaker 3>and what's the feedback been in the first instance?

0:25:24.600 --> 0:25:25.800
<v Speaker 5>Yeah, I mean it's a great question.

0:25:25.840 --> 0:25:27.520
<v Speaker 11>I mean, the history of the world is really two

0:25:27.560 --> 0:25:31.800
<v Speaker 11>things to drive growth, it's population growth and productivity enhancement

0:25:31.800 --> 0:25:35.840
<v Speaker 11>that'll drive GDP. You know, for the growth here, the

0:25:35.880 --> 0:25:38.639
<v Speaker 11>ability to have AI within Microsoft Office Apps, which is

0:25:38.680 --> 0:25:42.080
<v Speaker 11>the key tool for how businesses operate. We think there's

0:25:42.200 --> 0:25:45.320
<v Speaker 11>great opportunity there, great benefits. You know, what we've seen

0:25:45.359 --> 0:25:48.320
<v Speaker 11>so far in what we've launched with copile It for

0:25:48.400 --> 0:25:51.639
<v Speaker 11>our enterprise customers is on average they're saving about a

0:25:51.680 --> 0:25:54.200
<v Speaker 11>half an hour a week to an.

0:25:54.040 --> 0:25:55.800
<v Speaker 5>Hour that's so valuable.

0:25:56.080 --> 0:25:59.320
<v Speaker 11>Seventy seven percent of them say they would never go back.

0:25:59.600 --> 0:26:02.600
<v Speaker 11>I believe we can do that here, and today's announcements

0:26:02.600 --> 0:26:05.919
<v Speaker 11>so profound because of all businesses, ninety nine point nine

0:26:06.000 --> 0:26:09.280
<v Speaker 11>percent of them are small businesses. So we really do

0:26:09.320 --> 0:26:11.080
<v Speaker 11>see an opportunity here and I think it can help

0:26:11.080 --> 0:26:13.000
<v Speaker 11>a lot with some of the world challenges. Like you

0:26:13.080 --> 0:26:15.560
<v Speaker 11>talked about because I think this productivity will lead to

0:26:15.600 --> 0:26:17.840
<v Speaker 11>more GDP growth and will be a benefit for everybody

0:26:17.840 --> 0:26:21.440
<v Speaker 11>who can access the technology.

0:26:21.480 --> 0:26:23.560
<v Speaker 3>If I'm looking down on my screen on the Bloomberg

0:26:23.640 --> 0:26:25.880
<v Speaker 3>terminal and I've got all of the world's most valuable

0:26:25.880 --> 0:26:29.560
<v Speaker 3>companies listed, and number one right now is Microsoft and

0:26:29.640 --> 0:26:32.600
<v Speaker 3>number two is app Or something that happened Friday. From

0:26:32.600 --> 0:26:36.320
<v Speaker 3>a marketcap perspective, it was something we were waiting for.

0:26:37.600 --> 0:26:40.280
<v Speaker 3>It's been a ride over the last twelve months. The

0:26:40.359 --> 0:26:43.879
<v Speaker 3>story for Microsoft really driven by AI. I just wondered

0:26:43.960 --> 0:26:46.840
<v Speaker 3>if I could get your reaction to Microsoft being the

0:26:46.840 --> 0:26:49.440
<v Speaker 3>most valuable company in the world and why you think

0:26:49.440 --> 0:26:50.280
<v Speaker 3>that that happened.

0:26:52.320 --> 0:26:54.239
<v Speaker 11>Well, look, I think the first thing everyone here at

0:26:54.280 --> 0:26:57.320
<v Speaker 11>Microsoft we're very humble about the opportunity in front of us,

0:26:57.680 --> 0:26:59.680
<v Speaker 11>the work we have to do to meet our customer needs,

0:26:59.680 --> 0:27:02.560
<v Speaker 11>and so I would say more than anything, we're really

0:27:02.600 --> 0:27:05.960
<v Speaker 11>focused on what is this magical opportunity for AI. And

0:27:06.000 --> 0:27:07.840
<v Speaker 11>I think that is to your point, that's what's led

0:27:07.880 --> 0:27:11.600
<v Speaker 11>to I think people seeing the opportunity that this company

0:27:11.600 --> 0:27:14.960
<v Speaker 11>can do, and we're you know, we're very focused on

0:27:15.160 --> 0:27:17.439
<v Speaker 11>trying to make that happen. I think AI is going

0:27:17.480 --> 0:27:19.320
<v Speaker 11>to be one of the most empowering tools that any

0:27:19.359 --> 0:27:21.919
<v Speaker 11>of us get to use in our lives. Bigger than

0:27:21.960 --> 0:27:25.080
<v Speaker 11>the phone, bigger than the internet, bigger than even the PC.

0:27:25.640 --> 0:27:28.880
<v Speaker 11>And we're quite excited about what we can do as

0:27:28.920 --> 0:27:30.919
<v Speaker 11>we build on some of the announcements.

0:27:30.359 --> 0:27:30.919
<v Speaker 5>We have today.

0:27:32.119 --> 0:27:35.199
<v Speaker 3>Use Off Meddi, Microsoft's exective vice president. It's great to

0:27:35.200 --> 0:27:37.000
<v Speaker 3>have you on the program. It's good to catch up,

0:27:37.240 --> 0:27:39.639
<v Speaker 3>and happy new year to you. Into twenty twenty four.

0:27:39.800 --> 0:27:42.760
<v Speaker 3>Now let's head back to Davos and well useless boss.

0:27:42.760 --> 0:27:46.399
<v Speaker 3>Microsoft CEO City and Nadella joined Bloomberg's Brad Stone for

0:27:46.480 --> 0:27:51.000
<v Speaker 3>a conversation about the relationship between Microsoft and Open Ai

0:27:51.119 --> 0:27:54.000
<v Speaker 3>in the aftermath of what was a tumultuous November for

0:27:54.160 --> 0:27:56.159
<v Speaker 3>the AI company. Have a listen to this.

0:27:58.760 --> 0:28:01.160
<v Speaker 12>You're going to go into any partnership. First of all,

0:28:01.280 --> 0:28:03.520
<v Speaker 12>there is independence in a partners There are two different

0:28:03.520 --> 0:28:08.000
<v Speaker 12>companies answerable to two sets of different stakeholders with different interests.

0:28:08.000 --> 0:28:11.600
<v Speaker 12>So therefore you have to then create a commercial partnership

0:28:11.600 --> 0:28:14.480
<v Speaker 12>in it that is mutually beneficial. So that's why I

0:28:14.480 --> 0:28:17.480
<v Speaker 12>think partnerships where you enter into partnerships where one side

0:28:17.520 --> 0:28:19.320
<v Speaker 12>is trying to take advantage of the other is not

0:28:19.400 --> 0:28:23.360
<v Speaker 12>long term stable, but if two partners can. And that's

0:28:23.359 --> 0:28:25.800
<v Speaker 12>sort of why I go back to the history of

0:28:25.960 --> 0:28:29.240
<v Speaker 12>enterprise value that was created with partnerships that at least

0:28:29.240 --> 0:28:32.680
<v Speaker 12>have been involved in across my career at Microsoft. So yes,

0:28:32.720 --> 0:28:35.480
<v Speaker 12>I think you have to sort of. I feel very

0:28:35.560 --> 0:28:39.280
<v Speaker 12>very good about the construct we have. I feel at

0:28:39.280 --> 0:28:42.680
<v Speaker 12>the same time very capable of controlling our own destiny.

0:28:43.320 --> 0:28:46.120
<v Speaker 12>So it's not like that we are single threaded even

0:28:46.160 --> 0:28:49.920
<v Speaker 12>today on Azure. And this is not about even open

0:28:49.960 --> 0:28:52.840
<v Speaker 12>a eye. It's all about reflection of what our customers want.

0:28:52.880 --> 0:28:55.480
<v Speaker 12>Every customer will comes to Azure for example, in fact

0:28:55.480 --> 0:28:56.400
<v Speaker 12>our own products.

0:28:56.400 --> 0:28:57.560
<v Speaker 3>It's not about one model.

0:28:57.880 --> 0:29:01.040
<v Speaker 12>We care deeply about having the best frontier model, which

0:29:01.040 --> 0:29:04.440
<v Speaker 12>happens to be for example today GPD four. But we

0:29:04.480 --> 0:29:08.040
<v Speaker 12>also have mixed straw as a models. As a service

0:29:08.080 --> 0:29:11.920
<v Speaker 12>inside of Azure, we use Lama in places, we have PI,

0:29:12.160 --> 0:29:16.120
<v Speaker 12>which is the best SLM from Microsoft. So there is

0:29:16.160 --> 0:29:19.400
<v Speaker 12>going to be diversity of capability and models that we

0:29:19.440 --> 0:29:22.280
<v Speaker 12>will have that we will invest in. But we will

0:29:22.280 --> 0:29:23.880
<v Speaker 12>partner very way deeply with open Ai.

0:29:24.280 --> 0:29:28.080
<v Speaker 10>What is the right operating model for a company like

0:29:28.120 --> 0:29:28.600
<v Speaker 10>open Ai.

0:29:28.600 --> 0:29:29.840
<v Speaker 4>I mean, currently it's.

0:29:29.640 --> 0:29:33.280
<v Speaker 10>A capped for profit company owned by a nonprofit, a

0:29:33.400 --> 0:29:37.240
<v Speaker 10>very unorthodox arrangement probably contributed to some of the drama

0:29:37.280 --> 0:29:38.680
<v Speaker 10>and instability in November.

0:29:39.000 --> 0:29:40.280
<v Speaker 4>Have they figured it out yet?

0:29:40.360 --> 0:29:43.520
<v Speaker 10>Are you comfortable now that you've got a partner with

0:29:43.680 --> 0:29:46.840
<v Speaker 10>a stable operator model you're talking to Sam later, I.

0:29:46.760 --> 0:29:49.680
<v Speaker 8>Am, and I will ask you that as well for

0:29:49.760 --> 0:29:50.320
<v Speaker 8>your opinion.

0:29:51.760 --> 0:29:54.840
<v Speaker 12>He needs to answer that question and his board obviously,

0:29:54.880 --> 0:29:56.760
<v Speaker 12>and I'm sure they're working through it.

0:29:56.920 --> 0:29:59.720
<v Speaker 3>Look, I always say this, which is we.

0:29:59.640 --> 0:30:03.200
<v Speaker 12>Invest did we partnered when they were whatever they were

0:30:03.600 --> 0:30:06.600
<v Speaker 12>and whatever they are today right in terms of being

0:30:06.640 --> 0:30:09.160
<v Speaker 12>a cap profit, nonprofit what have you?

0:30:10.080 --> 0:30:11.080
<v Speaker 5>So I'm comfortable.

0:30:11.120 --> 0:30:14.160
<v Speaker 12>I have no issues with any structure. What we just

0:30:14.200 --> 0:30:18.200
<v Speaker 12>want is good stability. And as I said, we don't

0:30:18.200 --> 0:30:20.760
<v Speaker 12>even need like I'm not even interested in a board seat,

0:30:20.880 --> 0:30:22.120
<v Speaker 12>or we don't need control.

0:30:22.160 --> 0:30:23.640
<v Speaker 3>We definitely don't have control.

0:30:23.720 --> 0:30:25.880
<v Speaker 12>We have no We just want to have a good

0:30:25.920 --> 0:30:28.800
<v Speaker 12>commercial partnership and we want to be investors in the

0:30:28.960 --> 0:30:32.800
<v Speaker 12>entity in even the way they're structured. So what I

0:30:32.840 --> 0:30:35.520
<v Speaker 12>would like is good governance and real stability.

0:30:35.560 --> 0:30:35.960
<v Speaker 1>That's it.

0:30:39.040 --> 0:30:42.600
<v Speaker 3>I was Citia Nadella, CEO of Microsoft now coming up

0:30:42.640 --> 0:30:45.840
<v Speaker 3>as the generative AI talk of the town in Davos

0:30:45.840 --> 0:30:48.520
<v Speaker 3>is underway. We're gonna have more on exactly that, look

0:30:48.560 --> 0:30:52.160
<v Speaker 3>at the investing side in startups and private markets. Excel

0:30:52.240 --> 0:31:00.640
<v Speaker 3>partner Sarah Olison coming up next. This is blind DAK Technology.

0:31:05.880 --> 0:31:08.960
<v Speaker 13>What we're doing is we're addressing some of the most

0:31:09.040 --> 0:31:13.920
<v Speaker 13>profound social challenges with AI in ways that are transformative.

0:31:14.520 --> 0:31:17.440
<v Speaker 13>So to give you an a couple of examples, I

0:31:17.480 --> 0:31:19.720
<v Speaker 13>think that one of the extraordinary places for all of us,

0:31:19.760 --> 0:31:21.560
<v Speaker 13>and we've heard a lot about it here over lunch,

0:31:22.040 --> 0:31:25.080
<v Speaker 13>is healthcare. And part of the reason is it's the

0:31:25.120 --> 0:31:29.480
<v Speaker 13>ability with AI to aggregate so much data that you

0:31:29.520 --> 0:31:33.440
<v Speaker 13>can actually have a level of diagnosis that is better

0:31:33.480 --> 0:31:35.000
<v Speaker 13>than what specialists can do.

0:31:37.120 --> 0:31:40.920
<v Speaker 3>How is alphabet president CFO and CIO roof Porat there

0:31:40.960 --> 0:31:44.000
<v Speaker 3>commenting on the future of AI and a conversation with

0:31:44.080 --> 0:31:47.360
<v Speaker 3>David Rubinstein at Bloomberg House in Davos. Let's talk more

0:31:47.400 --> 0:31:50.680
<v Speaker 3>about the impact of AI generative AI in particular. In

0:31:50.680 --> 0:31:55.080
<v Speaker 3>today's VC Spotlight with Sarah Edelson, partner Excel. She focuses

0:31:55.120 --> 0:32:00.480
<v Speaker 3>on early stage consumer enterprise and AI companies firm and

0:32:00.520 --> 0:32:03.840
<v Speaker 3>we've kind of swat places in a way you usually hear,

0:32:03.880 --> 0:32:05.720
<v Speaker 3>but you're in New York City exactly.

0:32:06.880 --> 0:32:09.400
<v Speaker 14>You're hosting in your lovely studio, So thank you for

0:32:09.400 --> 0:32:09.840
<v Speaker 14>having me.

0:32:10.400 --> 0:32:12.440
<v Speaker 3>No, it's it's always good to have the firm on

0:32:12.480 --> 0:32:15.240
<v Speaker 3>the show. Here's the thing. The questions always are we

0:32:15.400 --> 0:32:17.480
<v Speaker 3>over hyping all of this? So start the show at

0:32:17.560 --> 0:32:20.520
<v Speaker 3>nine am Pacific time, and by ten am Pacific time,

0:32:20.560 --> 0:32:24.040
<v Speaker 3>I've said the words AI a thousand times. Your thesis

0:32:24.080 --> 0:32:26.800
<v Speaker 3>seems to be based on the opposite, that we are

0:32:26.800 --> 0:32:28.200
<v Speaker 3>not over hyping this at all.

0:32:29.720 --> 0:32:32.040
<v Speaker 14>Yeah, I think that's right. I think from our perspective,

0:32:32.080 --> 0:32:34.520
<v Speaker 14>if anything, it's under hyped, which I know is hard

0:32:34.520 --> 0:32:36.840
<v Speaker 14>to imagine with how many times, even just sitting here

0:32:36.880 --> 0:32:40.920
<v Speaker 14>in the studio before this segment, I've heard AI countless times.

0:32:40.960 --> 0:32:44.280
<v Speaker 14>But really our perspective is it's worthy of that attention

0:32:44.480 --> 0:32:47.239
<v Speaker 14>because it's just that transformational and it's going to have

0:32:47.400 --> 0:32:51.000
<v Speaker 14>a really enormous impact on the economy and productivity, and

0:32:51.280 --> 0:32:53.880
<v Speaker 14>that's why we're so excited to see what's possible and

0:32:53.920 --> 0:32:56.240
<v Speaker 14>be investing in this category at the earliest days.

0:32:57.160 --> 0:32:59.680
<v Speaker 3>You know, when an event like Davos is on, you

0:32:59.720 --> 0:33:03.320
<v Speaker 3>know you have Satya Nadella, Microsoft roof parat of Alphabet

0:33:03.360 --> 0:33:07.360
<v Speaker 3>Paarent of Google, Sam Altman of open Ai. There's still

0:33:07.440 --> 0:33:11.400
<v Speaker 3>an argument that at least leadership in the field of

0:33:11.480 --> 0:33:14.000
<v Speaker 3>artificial intelligence as it relates to the building of large

0:33:14.040 --> 0:33:18.080
<v Speaker 3>language models of generative AI is dominated by the big few.

0:33:18.720 --> 0:33:21.080
<v Speaker 3>And so there's a question mark about some of the

0:33:21.160 --> 0:33:23.440
<v Speaker 3>names we're showing right now, right some of your portfolio

0:33:23.560 --> 0:33:26.400
<v Speaker 3>companies that are a little smaller. How would you respond

0:33:26.440 --> 0:33:26.720
<v Speaker 3>to that?

0:33:27.840 --> 0:33:31.479
<v Speaker 14>Yeah, I think you know, access to this technology is

0:33:31.520 --> 0:33:34.440
<v Speaker 14>only getting easier and easier. I think over the past

0:33:34.520 --> 0:33:37.720
<v Speaker 14>year we watched as some of the building blocks were

0:33:37.720 --> 0:33:41.760
<v Speaker 14>a little more rudimentary, and now the interface to engage

0:33:41.760 --> 0:33:44.120
<v Speaker 14>with it is getting easier and easier, and so I

0:33:44.160 --> 0:33:47.040
<v Speaker 14>think that's a really incredible time for startups to be

0:33:47.240 --> 0:33:48.280
<v Speaker 14>building in this space.

0:33:49.200 --> 0:33:50.600
<v Speaker 3>So I don't think it's that all.

0:33:50.520 --> 0:33:54.560
<v Speaker 14>Something that only the big guys have the opportunity. I

0:33:54.560 --> 0:33:56.959
<v Speaker 14>think there's a lot of opportunity for the small ones.

0:33:57.440 --> 0:33:59.920
<v Speaker 14>One of those names on that board is Scale, which

0:34:00.000 --> 0:34:03.000
<v Speaker 14>a company we invested in back in twenty sixteen. It's

0:34:03.120 --> 0:34:06.320
<v Speaker 14>really the data engine for every large language.

0:34:06.040 --> 0:34:06.880
<v Speaker 4>Model out there.

0:34:07.280 --> 0:34:09.360
<v Speaker 14>And you know, that was an incredibly small team just

0:34:09.400 --> 0:34:12.280
<v Speaker 14>a few years ago, and now it's an enormous business

0:34:12.360 --> 0:34:15.839
<v Speaker 14>that's really fundamental to this space. So there's definitely opportunity

0:34:15.840 --> 0:34:18.640
<v Speaker 14>for new businesses in this category.

0:34:19.160 --> 0:34:22.719
<v Speaker 3>What I find very interesting about those leading in the

0:34:22.760 --> 0:34:25.800
<v Speaker 3>space is the capital needs. You know, there is still

0:34:25.920 --> 0:34:30.359
<v Speaker 3>a heavy spend on compute and talent. You know, as

0:34:30.360 --> 0:34:33.840
<v Speaker 3>an investor in a scale, how much does that concern

0:34:33.920 --> 0:34:36.759
<v Speaker 3>you or do you think about the capital needs of

0:34:36.800 --> 0:34:38.279
<v Speaker 3>a company like that.

0:34:39.280 --> 0:34:41.520
<v Speaker 14>Yeah, I think it really depends on the business model

0:34:41.600 --> 0:34:44.799
<v Speaker 14>and it's about right sizing the investment for the opportunity.

0:34:45.120 --> 0:34:45.960
<v Speaker 3>But I think something.

0:34:45.800 --> 0:34:48.440
<v Speaker 14>That's really exciting is that a lot of the conversation

0:34:48.480 --> 0:34:52.600
<v Speaker 14>over the past year was about these enormous generalized models,

0:34:52.680 --> 0:34:54.759
<v Speaker 14>and I think what we're beginning to see is these

0:34:54.880 --> 0:34:59.080
<v Speaker 14>more specialized applications for particular enterprise opportunities.

0:34:59.320 --> 0:35:00.279
<v Speaker 3>You don't need to.

0:35:00.560 --> 0:35:03.040
<v Speaker 14>Mine all the world's data, all the world's knowledge to

0:35:03.120 --> 0:35:06.359
<v Speaker 14>do a particular job very well, but doing a particular

0:35:06.440 --> 0:35:09.520
<v Speaker 14>job very well can mean enormous value to a business,

0:35:09.560 --> 0:35:13.520
<v Speaker 14>and so I'm really excited about opportunities within the enterprise

0:35:13.760 --> 0:35:17.440
<v Speaker 14>applying more specialized AI to really have a big impact

0:35:17.440 --> 0:35:18.440
<v Speaker 14>on their bottom line.

0:35:19.600 --> 0:35:22.480
<v Speaker 3>Sarah, I just got back from cs Las Vegas and

0:35:22.560 --> 0:35:25.680
<v Speaker 3>one of the conversations I had was with Lorel CEO

0:35:25.840 --> 0:35:28.640
<v Speaker 3>Nico Lamuse, and it was about the use of AI

0:35:29.360 --> 0:35:34.000
<v Speaker 3>in the hardware context for analyzing your skin and the

0:35:34.000 --> 0:35:37.000
<v Speaker 3>thesis that Lorel presents is that that can really boost

0:35:37.000 --> 0:35:41.839
<v Speaker 3>sales because your chance of conversion is really high when

0:35:41.880 --> 0:35:44.120
<v Speaker 3>you have a data set driven by AI, you can

0:35:44.160 --> 0:35:47.000
<v Speaker 3>really convince the consumer. You are in New York City

0:35:47.520 --> 0:35:50.600
<v Speaker 3>because of the National Retail Federation, so join those dots

0:35:50.600 --> 0:35:52.840
<v Speaker 3>as well. Retail and AI.

0:35:53.080 --> 0:35:56.520
<v Speaker 14>Absolutely, I mean I had a similar experience probably to

0:35:56.560 --> 0:35:59.080
<v Speaker 14>you at cees where walking the halls of NRF. It

0:35:59.200 --> 0:36:02.359
<v Speaker 14>is incredibly a buzz with the applications of AI within

0:36:02.480 --> 0:36:05.480
<v Speaker 14>retail and commerce. I'm here supporting one of my investments,

0:36:05.480 --> 0:36:08.840
<v Speaker 14>which is a company called Syrup. They're focused on inventory

0:36:08.880 --> 0:36:12.200
<v Speaker 14>optimization for brand so getting the right item to the

0:36:12.280 --> 0:36:14.080
<v Speaker 14>right place at the right time. This is sort of

0:36:14.080 --> 0:36:17.200
<v Speaker 14>the holy grail for retail. It's what really drives margin

0:36:17.239 --> 0:36:19.720
<v Speaker 14>if you can sell more while producing less.

0:36:20.000 --> 0:36:21.120
<v Speaker 13>It also improves the.

0:36:21.120 --> 0:36:24.719
<v Speaker 14>Sustainability and what has historically been a really wasteful category.

0:36:25.120 --> 0:36:27.239
<v Speaker 14>And it's just a perfect example of what I was

0:36:27.320 --> 0:36:31.880
<v Speaker 14>just describing of a very specialized AI application to solve

0:36:32.000 --> 0:36:37.080
<v Speaker 14>an incredibly gnarly enterprise challenge, and they're improving forecast north

0:36:37.120 --> 0:36:39.919
<v Speaker 14>of forty percent with some of their customers. That's really

0:36:40.000 --> 0:36:42.080
<v Speaker 14>going to drive the bottom line. They're working with folks

0:36:42.160 --> 0:36:44.320
<v Speaker 14>like Reformation, Abercrombie and Fitch.

0:36:44.600 --> 0:36:45.279
<v Speaker 3>So it's just a.

0:36:45.239 --> 0:36:49.120
<v Speaker 14>Perfect example of how AI is really going to transform

0:36:49.160 --> 0:36:52.880
<v Speaker 14>every category in business. And I think retail is an

0:36:53.040 --> 0:36:55.279
<v Speaker 14>enormous one and it's been really exciting to be here

0:36:55.320 --> 0:36:55.880
<v Speaker 14>at NRF.

0:36:57.160 --> 0:36:59.279
<v Speaker 3>You know, almost ten years ago, I remember being in

0:36:59.320 --> 0:37:03.160
<v Speaker 3>Europe speeding to Felipe Literari of Excel. You know, you're

0:37:03.200 --> 0:37:06.960
<v Speaker 3>affirm that I've known for a long time across like

0:37:07.440 --> 0:37:11.879
<v Speaker 3>precede right to very late growth stage, and I want

0:37:11.880 --> 0:37:14.840
<v Speaker 3>to know right now where the focus of the activity

0:37:14.920 --> 0:37:17.760
<v Speaker 3>is or the opportunity in AI. If there is still

0:37:18.239 --> 0:37:21.400
<v Speaker 3>you know, new companies being formed that are being opportunistic

0:37:21.840 --> 0:37:22.840
<v Speaker 3>to enter the space.

0:37:23.560 --> 0:37:27.480
<v Speaker 14>Oh man, there's activity at every stage. I'm biased because

0:37:27.719 --> 0:37:30.279
<v Speaker 14>I do early stage investing and so I spend a

0:37:30.320 --> 0:37:33.560
<v Speaker 14>majority of my time you know, at seed in Series A,

0:37:33.680 --> 0:37:36.680
<v Speaker 14>but also honestly meeting sort of pre founders. You know,

0:37:36.719 --> 0:37:39.239
<v Speaker 14>that's really been the ethos of Excel is we want

0:37:39.239 --> 0:37:41.000
<v Speaker 14>to be the first partner and that may be when

0:37:41.040 --> 0:37:44.719
<v Speaker 14>you're just dreaming up something and if it's possible. So

0:37:45.200 --> 0:37:47.839
<v Speaker 14>I think there's opportunity at every stage. But this has

0:37:47.920 --> 0:37:51.000
<v Speaker 14>really been such a transformational moment, having this sort of

0:37:51.080 --> 0:37:54.880
<v Speaker 14>new technology that in the hands of really you know, passionate,

0:37:54.960 --> 0:37:57.880
<v Speaker 14>brave technologists, they can do incredible things they couldn't before.

0:37:57.960 --> 0:38:00.680
<v Speaker 14>And so that's just an amazing time to be at

0:38:00.680 --> 0:38:03.000
<v Speaker 14>the earliest days of sort of seed in series A

0:38:03.080 --> 0:38:04.359
<v Speaker 14>where I spend my time.

0:38:05.320 --> 0:38:08.120
<v Speaker 3>Sarah ed or some partner at Excel normally inn SF

0:38:08.120 --> 0:38:09.839
<v Speaker 3>today in New York City. Great to have you.

0:38:10.000 --> 0:38:10.759
<v Speaker 14>It's annoying here.

0:38:11.040 --> 0:38:16.640
<v Speaker 3>Thank you. One of YouTube's biggest stars has posted his

0:38:16.680 --> 0:38:20.839
<v Speaker 3>first video on X. Billionaire Elon Musk celebrated the move

0:38:21.080 --> 0:38:24.880
<v Speaker 3>by reposting a video created by mister Beast, who has

0:38:24.880 --> 0:38:28.480
<v Speaker 3>two hundred and thirty million plus YouTube subscribers. The YouTube

0:38:28.520 --> 0:38:32.239
<v Speaker 3>star posted on X quote, I'm curious how much AD

0:38:32.280 --> 0:38:35.200
<v Speaker 3>revenue a video on X would make, so I'm re

0:38:35.360 --> 0:38:39.279
<v Speaker 3>uploading this to test it will share ad rev next week.

0:38:39.320 --> 0:38:41.600
<v Speaker 3>And I know that Linda Yakarino, the CEO of X,

0:38:41.760 --> 0:38:44.560
<v Speaker 3>behind the scenes at CS was doing a lot with

0:38:44.719 --> 0:38:48.279
<v Speaker 3>influences and talent agencies in that vein. Now sticking with

0:38:48.400 --> 0:38:51.480
<v Speaker 3>Musk the test, the CEO leaned on the company's board

0:38:51.840 --> 0:38:55.279
<v Speaker 3>to arrange another massive stock award for him, years after

0:38:55.360 --> 0:38:57.960
<v Speaker 3>he had sold a significant chunk of his shares in

0:38:58.000 --> 0:39:01.600
<v Speaker 3>the company to acquire Tier Dot tw there's MultiMate than that.

0:39:01.680 --> 0:39:04.160
<v Speaker 3>Let's bring it, Bloomberg's great to you, Dell Craig. What

0:39:04.160 --> 0:39:07.200
<v Speaker 3>Elon is saying is he can't negotiate new pay, but

0:39:07.280 --> 0:39:10.280
<v Speaker 3>his rationale is he wants great to voting rights.

0:39:11.800 --> 0:39:14.279
<v Speaker 15>Yeah. I think it's kind of incredible that, you know,

0:39:14.840 --> 0:39:17.280
<v Speaker 15>we're just a few weeks removed from this guy talking

0:39:17.320 --> 0:39:23.520
<v Speaker 15>about you know, advertising excuse me, advertisers blackmailing him at

0:39:23.680 --> 0:39:27.279
<v Speaker 15>at X. I don't think it's a stretch to say

0:39:27.280 --> 0:39:29.480
<v Speaker 15>that's kind of what he's doing here with with Tesla.

0:39:29.600 --> 0:39:32.960
<v Speaker 15>He's saying that if he doesn't own more of the company,

0:39:33.400 --> 0:39:37.279
<v Speaker 15>he will essentially take his work on AI elsewhere, which

0:39:37.320 --> 0:39:39.520
<v Speaker 15>is incredible for a few reasons.

0:39:39.560 --> 0:39:40.400
<v Speaker 3>The fact that he's.

0:39:40.280 --> 0:39:45.520
<v Speaker 15>Already started a separate AI company called Xai, and the

0:39:45.560 --> 0:39:48.880
<v Speaker 15>fact that he's been working on AI in robotics at

0:39:48.920 --> 0:39:52.080
<v Speaker 15>Tesla for years now. He's you know, talked about the

0:39:52.120 --> 0:39:55.560
<v Speaker 15>company being more than just a carmaker being a leader

0:39:55.560 --> 0:39:58.120
<v Speaker 15>in real world AI, as he puts it. And so

0:39:58.400 --> 0:40:01.200
<v Speaker 15>you know, it's really kind of of incredible what we've

0:40:01.239 --> 0:40:03.800
<v Speaker 15>seen play out just in the last few days on

0:40:04.040 --> 0:40:05.440
<v Speaker 15>ex of our places.

0:40:05.920 --> 0:40:08.120
<v Speaker 3>All right, Bloomberg's great Drew Doll out of London, thank

0:40:08.160 --> 0:40:10.759
<v Speaker 3>you so much. That does it for this edition of

0:40:10.760 --> 0:40:14.040
<v Speaker 3>Bloomberg Technology Short Week. But we're not short of news.

0:40:14.080 --> 0:40:16.399
<v Speaker 3>Don't forget to check out our podcast wherever you get

0:40:16.400 --> 0:40:19.880
<v Speaker 3>your podcasts, Iheartspotify and on Apple, as well as the

0:40:19.880 --> 0:40:23.960
<v Speaker 3>Bloomberg platforms. From a rainy SF and a snowy New

0:40:24.040 --> 0:40:26.480
<v Speaker 3>York City, this is Bloomberg Technology.