WEBVTT - BI Weekend:  Delta Earnings, Google-Apple Deal, Lululemon Outlook 

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<v Speaker 1>Bloomberg Audio, Studios, podcasts, radio news. This is Bloomberg Intelligence

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<v Speaker 1>with Scarletfoo and Paul Sweeney.

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<v Speaker 2>How do you think the FED is looking at tariffs?

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<v Speaker 2>The uncertainty of terriffs. Let's take a look at the

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<v Speaker 2>sectors and how they performed.

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<v Speaker 3>A lot of investors getting whip saled every day by news.

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<v Speaker 2>Events, breaking market headlines.

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<v Speaker 4>And corporate news from across the globe.

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<v Speaker 2>Could we see a market disruption of market events? So

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<v Speaker 2>people just too exuberant out there? You see some so

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<v Speaker 2>called low quality stocks driving this short term rally.

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<v Speaker 1>Bloomberg Intelligence with Scarletfoo and Paul Sweeney on Bloomberg Radio,

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<v Speaker 1>YouTube and Bloomberg Originals.

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<v Speaker 5>I'm Scarlettfoo and I'm Alexandra Semenova fill in for Paul Sweeney.

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<v Speaker 2>On today's Bloomberg Intelligence Show. We dig inside the big

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<v Speaker 2>business stories impacting Wall Street and the global markets.

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<v Speaker 5>Each and every week, we provide in depth research and

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<v Speaker 5>data on some of the two thousand companies and one

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<v Speaker 5>hundred and thirty industries are analysts cover worldwide.

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<v Speaker 2>Today, we'll look why the athletic apparel company Lulu Lemon

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<v Speaker 2>sees signs of a rebound in the fourth quarter.

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<v Speaker 5>Plus a look at why the tech giant Meta is

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<v Speaker 5>beginning to cut more jobs at its reality Labs division.

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<v Speaker 2>But first we begin with the aerospace industry.

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<v Speaker 5>This week, Delta Airlines reported fourth quarter earnings that missed

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<v Speaker 5>Wall Street's expectations. The company also said it will be

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<v Speaker 5>taking a more cautious view for twenty twenty six.

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<v Speaker 2>For more, Alex and I were joined by George ferguson

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<v Speaker 2>Bloomberg Intelligence Senior Aerospace, Defense and Airlines analyst.

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<v Speaker 5>We first asked George for his take on Delta's recent earnings.

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<v Speaker 6>Really, what we saw here from Delta was a continuation

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<v Speaker 6>of the you know, the premium and the loyalty revenue

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<v Speaker 6>are rolling in strongly, rolling in I think sort of

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<v Speaker 6>five to seven percent if I recall correctly, you know

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<v Speaker 6>above sort of GDP growth rates.

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<v Speaker 4>But the back of the airplane, you know.

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<v Speaker 6>They call it the main cabin or bas the economy

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<v Speaker 6>that's there was that revenue was down seven percent and

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<v Speaker 6>a quarter where Delta was growing a couple percent. And

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<v Speaker 6>so I think we still see this premium trend, and

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<v Speaker 6>I think we're going to see a lot of growth in.

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<v Speaker 4>Premium seats this year.

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<v Speaker 6>We've got Southwest converting to some you know, to more

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<v Speaker 6>of a full service carriers premium. Delta plans to go premium,

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<v Speaker 6>United plans to go premium. Alaska Jet Blue, everyone wants

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<v Speaker 6>to go premium. So I think there's probably some concern

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<v Speaker 6>in the marketplace that maybe premium gets crowded and pushes

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<v Speaker 6>closer to that main cabin kind of kind of fair

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<v Speaker 6>rather than main cabin coming up.

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<v Speaker 5>Delta said they're bracing for risk to their forecast, noting

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<v Speaker 5>the geopolitical environment, whether it's international or domestic POLICI ge

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<v Speaker 5>or is this unusual for them to issue this kind

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<v Speaker 5>of morning Well, I mean.

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<v Speaker 6>Again, I think we're at the beginning of the year,

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<v Speaker 6>and management teams like the caveat things right, and so

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<v Speaker 6>I guess what I would say is we had plenty

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<v Speaker 6>of geopolitical challenges in twenty twenty five. You know, we

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<v Speaker 6>were watching transit demand closely because you've got a war

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<v Speaker 6>raging in Ukraine's been doing that for a bunch of

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<v Speaker 6>years now. Didn't seem to slow down that demand. That

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<v Speaker 6>demand seemed to do okay some days. I wonder if

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<v Speaker 6>there maybe there's more risk domestically, right. One of the

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<v Speaker 6>other things we're watching is the President wants to cap

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<v Speaker 6>interest rates for the credit card companies at ten percent.

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<v Speaker 6>Loyalty through the MX program brings a lot of money

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<v Speaker 6>in for Delta, definitely a source of their competitive advantage.

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<v Speaker 6>And I think if you're capping interest rates, I think

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<v Speaker 6>some of those credit card programs have to change and

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<v Speaker 6>that would hurt some of those loyalty programs. So there's

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<v Speaker 6>I mean, there's risk all over the place all the time. Again,

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<v Speaker 6>the geopolitical didn't seem to hurt demand as much as

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<v Speaker 6>we would expect it in twenty twenty five.

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<v Speaker 2>Right, It kind of always threatens to hurt demand, but

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<v Speaker 2>in the end, people still prioritize traveling and paying for traveling.

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<v Speaker 2>One of the comments from Delta was that the airline

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<v Speaker 2>industry could see consolidation in twenty twenty six. Which players

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<v Speaker 2>would that most likely involved.

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<v Speaker 6>Yeah, so we're already starting to see some of that, right.

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<v Speaker 6>We had an announcement the other day that Allegiance and

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<v Speaker 6>Sun Country are going to put themselves together. They're two

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<v Speaker 6>smaller low cost airlines, some of them pretty quickly growing there,

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<v Speaker 6>quickly growing, so they'll consolidate. Uh, you know, we've heard

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<v Speaker 6>discussion about Frontier potentially buying Spirit Airlines. We still have

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<v Speaker 6>to see, you know, the ultimate outcome for Spirit yuring

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<v Speaker 6>Chapter eleven. We're trying to figure out what their structuring

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<v Speaker 6>looks like the second time they've been there.

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<v Speaker 4>So you can see on the edges.

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<v Speaker 6>Especially where in that low cost marketplace, you can see

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<v Speaker 6>consolidation beginning.

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<v Speaker 4>It takes a long.

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<v Speaker 6>Time and that's the challenge, but you can see some

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<v Speaker 6>of that consolidation already begin. We don't see the big

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<v Speaker 6>players getting consolidated, but you're not You're not going to

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<v Speaker 6>put together. I think you're not going to see sort

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<v Speaker 6>of a united to Delta and America and the Southwest.

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<v Speaker 6>They're not going to We're not gonna put an any

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<v Speaker 6>of those together. I think that's too much, but I

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<v Speaker 6>think a lot of other stuff is potentially in play.

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<v Speaker 4>George.

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<v Speaker 5>We also got news that Delta is ordering thirty Boeing

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<v Speaker 5>seven eighty seven Dreamliner jets, aiming to boost the company.

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<v Speaker 5>How much do you expect this purchase to impact its

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<v Speaker 5>bottom line?

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<v Speaker 6>Yeah, so they're not going to see these airplanes until

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<v Speaker 6>twenty thirty, so it's a bit of a ways away.

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<v Speaker 6>They're replacing seven six sevens, which are old airplanes. We

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<v Speaker 6>have an average age of them about twenty seven years

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<v Speaker 6>right now, you know the seven eight is going to

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<v Speaker 6>be a lot more efficient. Delta gave some numbers they

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<v Speaker 6>fifteen ish plus percent more efficient, so I think that

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<v Speaker 6>really helps the bottom line. Also very interesting to us

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<v Speaker 6>is that Delta is traditionally more of an air bus shop.

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<v Speaker 6>They buy a lot of Airbus product. The recent wide

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<v Speaker 6>bodies they've bought. Our airbus is a three fifty and

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<v Speaker 6>air buses a three thirty. Again, the Boeing wide bodies

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<v Speaker 6>told you twenty eight ish years old. Interesting to see

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<v Speaker 6>them come in for the seven eighty seven. That's really,

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<v Speaker 6>I think, been a category leader in that small narrow

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<v Speaker 6>body world. Boeing has over one thousand orders for that airplane.

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<v Speaker 6>We see rates continued to rise, which to improve profitability at.

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<v Speaker 4>Boeing as they put more through put in that seven eight.

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<v Speaker 6>I thought it was a bit of an endorsement for

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<v Speaker 6>seven eight, even though Delta is not going to say that.

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<v Speaker 2>Probably our thanks to George Ferguson, our senior Aerospace, Defense

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<v Speaker 2>and Airlines analyst.

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<v Speaker 5>This week we focused on a Bloomberg Big Take story

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<v Speaker 5>titled the CEO Playbook to Navigating Trump. You can find

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<v Speaker 5>it on Bloomberg dot Com and the Terminal.

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<v Speaker 2>So the story looks at how public feuds and protectionist

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<v Speaker 2>threats have turned CEO's dealings with the White House into

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<v Speaker 2>a high stakes game of loyalty and leverage.

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<v Speaker 5>And for the story, Bloomberg News recently spoke to experts

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<v Speaker 5>and business leaders on how CEOs should navigate Trump's second term.

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<v Speaker 2>For more on all of this, we were joined by

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<v Speaker 2>one of the Big Takes authors, Matthew Boyle, Bloomberg Senior

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<v Speaker 2>Management reporter.

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<v Speaker 5>We first asked Matt to break down some of the

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<v Speaker 5>challenges faced while interviewing CEOs for the story.

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<v Speaker 7>I mean the usual sort of voices of Corporate America,

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<v Speaker 7>the Chamber of Commerce, the Business Roundtable. We're just like,

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<v Speaker 7>you know, we're going to take a pass on this one,

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<v Speaker 7>and just about every CEO under the sun, you know,

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<v Speaker 7>just they just don't want to go there. It's like

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<v Speaker 7>the third rail. So it was challenging to report, but

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<v Speaker 7>we had a lot of great conversations, let's say, on background,

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<v Speaker 7>with those who are advising CEOs, and that led to

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<v Speaker 7>our playbook. Here the five rules for dealing with the

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<v Speaker 7>Trump Madness.

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<v Speaker 5>Matt We've seen a growing number of business leaders recently

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<v Speaker 5>kind of push back more than usual on some of

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<v Speaker 5>President Trump's policy proposals. We had City CFO this morning

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<v Speaker 5>pushing back on the credit card cap. X On Mobile

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<v Speaker 5>CEO calling Venezuela an investable. Is this unusual in what

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<v Speaker 5>might be the consequences for them?

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<v Speaker 7>Yeah, it takes a certain CEO to push back. It

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<v Speaker 7>takes a Jamie Diamond or the CEO of ex On Mobile,

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<v Speaker 7>who have the clout and the authority and the industry

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<v Speaker 7>backing to say no, you know, this is actually not

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<v Speaker 7>perhaps a good idea. But most of the time, as

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<v Speaker 7>we saw with tariffs, it was happening behind the scenes.

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<v Speaker 7>You remember, this is going back aways. But when Trump

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<v Speaker 7>told the Walmart CEO, Doug McMillan to eat the tariffs,

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<v Speaker 7>Walmart said nothing, and that was probably pretty wise. There

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<v Speaker 7>was no reason to get into a public spat on

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<v Speaker 7>true social with Trump. So but now maybe it's because

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<v Speaker 7>Trump is in a different position twelve months later, or

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<v Speaker 7>it's the issues involved. You know, banking CEOs are very

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<v Speaker 7>happy to go out against interest ratecaps, but we are

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<v Speaker 7>seeing in certain cases some CEOs pushed back.

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<v Speaker 2>Yes, and direct engagement does seem to pay off if

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<v Speaker 2>you can find your way to the President's mobile phone,

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<v Speaker 2>which apparently he pans out the number pretty willingly to

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<v Speaker 2>certain top CEOs. You talk about in videos Jensen Huang

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<v Speaker 2>having a direct line to the president. Also Lipboon tam

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<v Speaker 2>of Intel being able to do that as well.

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<v Speaker 4>Exactly.

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<v Speaker 7>I mean Jensen in video ceo one on Joe in

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<v Speaker 7>December and said, you know, Trump is extraordinarily accessible. The

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<v Speaker 7>United Airline ceo said the same thing to us. I mean,

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<v Speaker 7>you can call this man up. He does answer his

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<v Speaker 7>cell phone, as we've seen sometimes at four thirty in

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<v Speaker 7>the morning he will pick up his cell phone. But

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<v Speaker 7>not everybody has Trump on speed dials. So a point

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<v Speaker 7>of our story was that you have to find a

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<v Speaker 7>way in, whether that's Susie Wiles, a chief of staff,

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<v Speaker 7>whether it's Scott Besson, Treasury or Commerce, Howard Lutnick, or

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<v Speaker 7>one of the sort of lower level aids. Also, I

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<v Speaker 7>mean we found that, you know, the director of the

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<v Speaker 7>White House Office of Public Liaison is somebody you can

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<v Speaker 7>you can go to also, So the point is to

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<v Speaker 7>find a way in, no matter how you do it.

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<v Speaker 5>Matt, what are some of the differences in how President

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<v Speaker 5>and Trump deals with business leaders in his second term

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<v Speaker 5>from his first term.

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<v Speaker 7>Well, the second term, he's a little bit more unshackled.

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<v Speaker 7>Let's say, in the first term, you had a few

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<v Speaker 7>more traditional Republican voices. You know, you had Rex Tillerson

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<v Speaker 7>in there and other folks who you know, were able

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<v Speaker 7>to maybe play a little defense. They were able to

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<v Speaker 7>slow walk some of Trump's more outrageous policy proposals. Now

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<v Speaker 7>it's just all true believers. So he's sort of unfettered.

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<v Speaker 7>He's unshackled, and there's really not many checks. So what

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<v Speaker 7>this means for CEOs is, yeah, they really can't hide.

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<v Speaker 7>They can't just say well, we'll let our industry association

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<v Speaker 7>take care of this or don't worry. I mean, look

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<v Speaker 7>at just the past week, what's been going on. CEOs

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<v Speaker 7>really need to be on watch.

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<v Speaker 5>Yeah, shackles is a fantastic word, a free range Trump right,

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<v Speaker 5>here we go, There we go.

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<v Speaker 2>The other thing that you could do, if you're trying

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<v Speaker 2>to get his attention or curry favor, is to give

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<v Speaker 2>him a made up award.

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<v Speaker 7>Yes, he does respond to these types of trinkets and trophies,

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<v Speaker 7>as we've seen with the Apple CEO, Tim Cook was

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<v Speaker 7>able to give him this sort of glass you know,

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<v Speaker 7>trophy with a twenty four carrot gold base or something,

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<v Speaker 7>you know, with the Apple logo on it. And you know,

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<v Speaker 7>guess what, you know, it was over tariffs and Cook

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<v Speaker 7>Apple we're looking for some relief on foreign microchip tariffs.

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<v Speaker 7>So and you know that helped. It also helped though

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<v Speaker 7>that Cook had really put in the work though, talking

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<v Speaker 7>to Trump for years now, going back to the first administration,

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<v Speaker 7>so you can't just you know, sort of throw a

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<v Speaker 7>trophy at him. But it does take some groundwork as well.

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<v Speaker 7>But look at the Swiss business executives also giving him

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<v Speaker 7>a you know, a gold rolex and you know, so

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<v Speaker 7>these things do tend to have an impact. As we say,

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<v Speaker 7>everything is a transaction with this president.

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<v Speaker 5>Matt, you mentioned it's been difficult getting people to speak

0:11:25.240 --> 0:11:27.400
<v Speaker 5>to you for this story. Did any of the business

0:11:27.480 --> 0:11:30.120
<v Speaker 5>leaders you spoke to give you reasoning for why they

0:11:30.240 --> 0:11:32.080
<v Speaker 5>might be afraid to talk or did they kind of

0:11:32.080 --> 0:11:32.959
<v Speaker 5>just brush you off?

0:11:33.200 --> 0:11:35.840
<v Speaker 7>It's I mean, many brush us off through their gatekeepers.

0:11:35.880 --> 0:11:38.280
<v Speaker 7>They just the thing is, they just don't see much upside.

0:11:38.320 --> 0:11:40.920
<v Speaker 7>They don't want to be the one CEO talking to

0:11:41.080 --> 0:11:43.959
<v Speaker 7>any reporter on the record. But as we've seen now,

0:11:44.000 --> 0:11:45.640
<v Speaker 7>maybe we might see some more come out of the

0:11:45.640 --> 0:11:49.080
<v Speaker 7>woodwork now that Diamond and others are talking about, you know,

0:11:49.200 --> 0:11:53.120
<v Speaker 7>the interest rates. The defense companies also might have something

0:11:53.120 --> 0:11:55.520
<v Speaker 7>to say about Trump pressuring them to, you know, to

0:11:55.640 --> 0:11:56.400
<v Speaker 7>up their game.

0:11:57.120 --> 0:11:58.040
<v Speaker 4>So we'll see.

0:11:58.040 --> 0:12:00.240
<v Speaker 7>But it's that you know, CEO is a yea, and

0:12:00.440 --> 0:12:02.360
<v Speaker 7>that they might be speaking out on certain issues, but

0:12:02.400 --> 0:12:05.680
<v Speaker 7>when it comes to Trump again, they just fail to

0:12:05.720 --> 0:12:08.480
<v Speaker 7>see the upside. But at this point, as we say,

0:12:08.600 --> 0:12:11.680
<v Speaker 7>or it was a Yale School of Management person wrote

0:12:11.720 --> 0:12:14.920
<v Speaker 7>in Bloomberg Opinion, the chaos is not just no longer

0:12:14.920 --> 0:12:17.320
<v Speaker 7>in the background. The chaos is baked in. It's in

0:12:17.360 --> 0:12:19.920
<v Speaker 7>the system. It's coming for them. So they might want

0:12:20.000 --> 0:12:20.320
<v Speaker 7>us talk.

0:12:20.760 --> 0:12:22.720
<v Speaker 2>Yeah, it's front and center, and it feels in many

0:12:22.760 --> 0:12:25.520
<v Speaker 2>ways like those who know how to navigate governments and

0:12:25.559 --> 0:12:27.480
<v Speaker 2>emerging markets might be better positioned.

0:12:27.559 --> 0:12:27.679
<v Speaker 8>Yea.

0:12:27.760 --> 0:12:29.959
<v Speaker 7>So you have that experience exactly, you know, of that

0:12:30.080 --> 0:12:33.679
<v Speaker 7>sort of slightly more chaotic, slightly more free wheeling environments,

0:12:33.920 --> 0:12:36.480
<v Speaker 7>and many of these big multinationals, of course, do operate

0:12:36.520 --> 0:12:37.200
<v Speaker 7>in those areas.

0:12:37.520 --> 0:12:41.000
<v Speaker 2>Our thanks to Matthew Boyle Bloomberg senior management reporter, coming

0:12:41.080 --> 0:12:43.400
<v Speaker 2>up a look at why the tech giant Nvidia and

0:12:43.520 --> 0:12:46.880
<v Speaker 2>the pharmaceutical company Eli Lilly are partnering up. You're listening

0:12:46.920 --> 0:12:50.080
<v Speaker 2>to Bloomberg Intelligence on Bloomberg Radio, providing in depth research

0:12:50.120 --> 0:12:53.040
<v Speaker 2>and data on two thousand companies and one hundred thirty industries.

0:12:53.360 --> 0:12:57.280
<v Speaker 5>You can access Bloomberg Intelligence via Big on the terminal.

0:12:57.320 --> 0:12:59.120
<v Speaker 5>I'm Alexandra Semenova.

0:12:58.720 --> 0:13:00.800
<v Speaker 2>And I'm Scarlett Foo is Bloomberg.

0:13:05.000 --> 0:13:09.520
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:13:09.840 --> 0:13:11.120
<v Speaker 1>on Bloomberg Radio.

0:13:12.080 --> 0:13:15.840
<v Speaker 5>I'm Scarlettfou and I'm Alexandra Semenova filling in for Paul Sweeney.

0:13:15.880 --> 0:13:18.280
<v Speaker 2>We moved to some news in big tech this week.

0:13:18.360 --> 0:13:21.240
<v Speaker 5>Alphabet's Google confirmed that it has entered a multi year

0:13:21.280 --> 0:13:22.000
<v Speaker 5>deal with Apple.

0:13:22.440 --> 0:13:25.319
<v Speaker 2>This will allow Alphabet to power the iPhone maker's artificial

0:13:25.320 --> 0:13:28.560
<v Speaker 2>intelligence technology, including the Serie voice assistant.

0:13:28.720 --> 0:13:31.400
<v Speaker 5>We reported late last year that the two companies were

0:13:31.440 --> 0:13:34.160
<v Speaker 5>finalizing such a deal, with Apple planning to pay about

0:13:34.160 --> 0:13:35.320
<v Speaker 5>one billion dollars a year.

0:13:35.440 --> 0:13:37.880
<v Speaker 2>For more on this, we're joined by Ano Agrana, Bloomberg

0:13:37.880 --> 0:13:39.360
<v Speaker 2>Intelligence technology analyst.

0:13:39.720 --> 0:13:43.000
<v Speaker 5>We first asked Ana rog about the specific advantages Google

0:13:43.040 --> 0:13:45.080
<v Speaker 5>brings to Apple with its Gemini models.

0:13:45.640 --> 0:13:49.720
<v Speaker 9>Now we go back in history. Apple doesn't have that

0:13:49.880 --> 0:13:53.680
<v Speaker 9>big of their own foundational model on which it's running

0:13:53.840 --> 0:13:56.559
<v Speaker 9>or it's supposed to run some of these technologies. But

0:13:56.679 --> 0:13:58.880
<v Speaker 9>Apple and Google go back long way. They have a

0:13:59.120 --> 0:14:04.080
<v Speaker 9>very very good agreement on search, which pays Apple billions

0:14:04.080 --> 0:14:07.000
<v Speaker 9>of dollars. So you know, there was some legal issue

0:14:07.040 --> 0:14:10.240
<v Speaker 9>around it. So we always knew that once that legal

0:14:10.240 --> 0:14:13.360
<v Speaker 9>issue goes away, Apple may be working closely with Google

0:14:13.440 --> 0:14:17.520
<v Speaker 9>to basically outsource a lot of their foundational models into

0:14:17.559 --> 0:14:18.640
<v Speaker 9>the technology that they have.

0:14:18.960 --> 0:14:19.240
<v Speaker 4>They have.

0:14:19.640 --> 0:14:22.720
<v Speaker 9>Now it's possible that the next CD upgrade, which is

0:14:22.760 --> 0:14:26.120
<v Speaker 9>most likely going to be in the March April timeframe,

0:14:26.400 --> 0:14:28.600
<v Speaker 9>could be that one big moment that we are all

0:14:28.640 --> 0:14:31.360
<v Speaker 9>looking for Apple to finally come out and say that, okay,

0:14:31.360 --> 0:14:33.480
<v Speaker 9>you know we are not a laggard in AI, that

0:14:33.560 --> 0:14:35.280
<v Speaker 9>they also have a product that's pretty good.

0:14:35.720 --> 0:14:38.920
<v Speaker 5>Ana rag I saw a tweet actually from the official

0:14:38.960 --> 0:14:42.520
<v Speaker 5>Google account announcing this deal, and Elon Musk replied. He

0:14:42.640 --> 0:14:46.480
<v Speaker 5>said that this seems like an unreasonable concentration of power

0:14:46.640 --> 0:14:51.000
<v Speaker 5>for Google obviously has a vested interest here, given you know,

0:14:51.080 --> 0:14:54.440
<v Speaker 5>his participation in XAI, but does he have a point,

0:14:54.480 --> 0:14:56.760
<v Speaker 5>what are the regulatory risks around this deal?

0:14:57.920 --> 0:14:59.520
<v Speaker 9>Yeah, I mean he won't have a point if his

0:14:59.560 --> 0:15:02.280
<v Speaker 9>model been used at that point. So I mean everybody

0:15:02.320 --> 0:15:05.400
<v Speaker 9>is trying to pitch Apple to use that model. But

0:15:05.800 --> 0:15:07.800
<v Speaker 9>you know, at the end of the day, Apple actually,

0:15:07.800 --> 0:15:10.080
<v Speaker 9>for the first time, if you go back a year

0:15:10.080 --> 0:15:12.160
<v Speaker 9>and a half ago, they used open ai. I mean

0:15:12.200 --> 0:15:14.040
<v Speaker 9>you can still use open ai when you go to

0:15:14.080 --> 0:15:16.480
<v Speaker 9>Syria and ask a question and it can take you

0:15:16.560 --> 0:15:19.000
<v Speaker 9>out of there. But for Apple, it has to be

0:15:19.080 --> 0:15:24.040
<v Speaker 9>integrated within the iOS, within the software, but they won't

0:15:24.080 --> 0:15:27.360
<v Speaker 9>do it to an outside vendor where they don't control

0:15:27.600 --> 0:15:30.440
<v Speaker 9>the data. So what Apple's going to do here, They're

0:15:30.440 --> 0:15:32.920
<v Speaker 9>going to use the foundational models from Google, but they're

0:15:32.920 --> 0:15:34.600
<v Speaker 9>going to run a lot of that either on the

0:15:34.680 --> 0:15:37.960
<v Speaker 9>device or their own private, private cloud data centers, which

0:15:38.000 --> 0:15:41.320
<v Speaker 9>means they will still protect the privacy of that question

0:15:42.000 --> 0:15:44.200
<v Speaker 9>and not let it have you know, access to other

0:15:44.480 --> 0:15:45.320
<v Speaker 9>players as well.

0:15:45.640 --> 0:15:47.760
<v Speaker 2>Yeah, the privacy angle is really big for Apple. It's

0:15:47.840 --> 0:15:50.320
<v Speaker 2>kind of its mark of distinction here among the big

0:15:50.360 --> 0:15:51.080
<v Speaker 2>tech players.

0:15:51.400 --> 0:15:51.840
<v Speaker 5>An rag.

0:15:52.160 --> 0:15:56.240
<v Speaker 2>Apple has seen this exodus of talent AI talent going

0:15:56.280 --> 0:15:59.480
<v Speaker 2>to other big tech companies in recent months. Does this

0:15:59.680 --> 0:16:04.160
<v Speaker 2>small year deal with alphabet, with Google change any of that.

0:16:04.200 --> 0:16:06.040
<v Speaker 2>Does that stanch the bleeding at all?

0:16:07.000 --> 0:16:07.200
<v Speaker 4>Yeah?

0:16:07.240 --> 0:16:10.400
<v Speaker 9>For me, it does only because I am now buying

0:16:10.440 --> 0:16:13.560
<v Speaker 9>the model outright from somebody who's doing all the hard work.

0:16:13.840 --> 0:16:16.640
<v Speaker 9>So I'm not in the business of model development. If

0:16:16.640 --> 0:16:18.760
<v Speaker 9>I can use the best model that's out there into

0:16:18.800 --> 0:16:21.000
<v Speaker 9>my product and I pay them some money, and the

0:16:21.600 --> 0:16:24.840
<v Speaker 9>humor amount is about a billion dollars a year, which is,

0:16:24.880 --> 0:16:27.760
<v Speaker 9>to be honest, nothing compared to how many billions these

0:16:27.760 --> 0:16:30.480
<v Speaker 9>companies are spending to come up with their own large

0:16:30.520 --> 0:16:33.240
<v Speaker 9>language model. And that's what actually Apple said in the

0:16:33.280 --> 0:16:35.920
<v Speaker 9>search case and says, I'm not in the search business.

0:16:36.000 --> 0:16:38.200
<v Speaker 9>If Google has the best search, I will outsource that

0:16:38.320 --> 0:16:40.640
<v Speaker 9>technology into my products from them.

0:16:40.560 --> 0:16:43.520
<v Speaker 2>Are thanks to Honor Agrana, bi's technology analyst.

0:16:43.960 --> 0:16:46.720
<v Speaker 5>We move next to news from the athletic apparel company

0:16:46.840 --> 0:16:48.320
<v Speaker 5>Lululemon Athletica.

0:16:48.360 --> 0:16:51.040
<v Speaker 2>This week, Lululemon said it's fourth quarter sales would land

0:16:51.040 --> 0:16:53.400
<v Speaker 2>at the higher end of its twenty twenty five guidance.

0:16:53.760 --> 0:16:56.320
<v Speaker 5>It's a sign that the yoga war company is regaining

0:16:56.360 --> 0:16:59.360
<v Speaker 5>some momentum following a series of disappointing results.

0:16:59.480 --> 0:17:01.720
<v Speaker 2>For more, Alex and I were joined by Punam Goyel,

0:17:01.920 --> 0:17:03.960
<v Speaker 2>senior US e Commerce and retail analyst.

0:17:04.359 --> 0:17:06.880
<v Speaker 5>We first asked Poonam to break down how the company's

0:17:06.920 --> 0:17:07.840
<v Speaker 5>turnaround is going.

0:17:08.440 --> 0:17:11.760
<v Speaker 10>So, the loyalty program is not something that Lulu Lemon

0:17:11.800 --> 0:17:15.280
<v Speaker 10>has had for a long long time, but it does help,

0:17:15.400 --> 0:17:18.159
<v Speaker 10>just like with any other loyalty program. You know, it

0:17:18.200 --> 0:17:22.000
<v Speaker 10>gives you perks. You have access to Lulu Lemon merchandise,

0:17:22.040 --> 0:17:25.479
<v Speaker 10>who have access to Lulu Lemon events, etc. And it

0:17:25.560 --> 0:17:29.600
<v Speaker 10>does bring the member who enjoys the lul Lemon experience

0:17:29.680 --> 0:17:33.359
<v Speaker 10>to keep coming back. It's an added reward for those

0:17:33.400 --> 0:17:37.520
<v Speaker 10>who have been loyal to the company. But make no mistakes,

0:17:37.560 --> 0:17:40.240
<v Speaker 10>that is not what's going to drive the turnaround. Their

0:17:40.240 --> 0:17:42.280
<v Speaker 10>turnaround needs a lot more than that.

0:17:42.800 --> 0:17:46.120
<v Speaker 2>Yeah, I mean, loyalty programs are something that most brands

0:17:46.160 --> 0:17:49.240
<v Speaker 2>have and Lula Lemon has some more structural issues when

0:17:49.240 --> 0:17:52.760
<v Speaker 2>it comes to Lululemon. Separate from the loyalty program, Lulu

0:17:52.800 --> 0:17:55.479
<v Speaker 2>has pre announced fourth quarter sales and it comes in

0:17:55.520 --> 0:17:57.600
<v Speaker 2>at the higher end of its guidance. This is kind

0:17:57.600 --> 0:18:00.600
<v Speaker 2>of surprising because Lulua Lemon has struggled to connect with

0:18:00.680 --> 0:18:02.520
<v Speaker 2>choppers the last couple of quarters.

0:18:03.359 --> 0:18:05.800
<v Speaker 10>Yes, you can say that it's surprising, but at the

0:18:05.880 --> 0:18:08.000
<v Speaker 10>end of the day, the sales are still down. The

0:18:08.119 --> 0:18:10.320
<v Speaker 10>estimate was for sales to be down negative one to

0:18:10.520 --> 0:18:13.880
<v Speaker 10>three percent, so maybe you're close to minus one. That's

0:18:13.920 --> 0:18:17.200
<v Speaker 10>still not where we expect Lemon to be. This doesn't

0:18:17.240 --> 0:18:21.200
<v Speaker 10>tell me that the turnaround is you know, has started

0:18:21.240 --> 0:18:24.200
<v Speaker 10>and is underway and things will begin to improve quarter

0:18:24.240 --> 0:18:27.560
<v Speaker 10>after quarter. I think it's good, but I need a

0:18:27.600 --> 0:18:30.320
<v Speaker 10>lot more to be confident that the turnaround will begin

0:18:30.400 --> 0:18:31.080
<v Speaker 10>to take place.

0:18:32.160 --> 0:18:35.600
<v Speaker 5>What are some of the macroeconomic trends that are driving

0:18:35.720 --> 0:18:39.080
<v Speaker 5>Lululemon's customer base. Is it inflation? Is it just an

0:18:39.119 --> 0:18:42.240
<v Speaker 5>overall change in discretionary spending patterns?

0:18:42.280 --> 0:18:42.760
<v Speaker 2>What is it?

0:18:43.680 --> 0:18:46.560
<v Speaker 10>Yeah, so the macro economy has been you know, good

0:18:46.600 --> 0:18:50.119
<v Speaker 10>and bad. The luxury consumer has been doing well Lemon.

0:18:50.160 --> 0:18:53.879
<v Speaker 10>You could argue SIT's in the affluent space of active wear.

0:18:54.320 --> 0:18:57.360
<v Speaker 10>But that said, it's not that the customer is frushured

0:18:57.400 --> 0:19:00.199
<v Speaker 10>and that's why their sales have fallen. It is that

0:19:00.240 --> 0:19:03.920
<v Speaker 10>they have lacked innovation and execution has been weak. So

0:19:04.359 --> 0:19:08.120
<v Speaker 10>the key here is a company specific issue that they

0:19:08.160 --> 0:19:11.280
<v Speaker 10>need to resolve, and they are working towards it. We

0:19:11.359 --> 0:19:13.880
<v Speaker 10>will be getting a new CEO hopefully at some point

0:19:13.920 --> 0:19:17.000
<v Speaker 10>in twenty twenty six, and it'll really be then where

0:19:17.000 --> 0:19:20.159
<v Speaker 10>we can see who comes in, what's the strategy, and

0:19:20.200 --> 0:19:24.080
<v Speaker 10>how does lul Lemon re engage. It's for a customer

0:19:24.280 --> 0:19:27.600
<v Speaker 10>that probably still loves the brand but just hasn't found

0:19:27.840 --> 0:19:29.960
<v Speaker 10>enough new to keep going back and back.

0:19:30.680 --> 0:19:30.880
<v Speaker 4>Yeah.

0:19:30.880 --> 0:19:33.960
<v Speaker 2>Absolutely. I think about the competitors that Lulu Lemon faces

0:19:33.960 --> 0:19:38.199
<v Speaker 2>in the space. It ranges from Dorry to all the

0:19:38.240 --> 0:19:41.200
<v Speaker 2>other big names out there, including Nike, which offers perhaps

0:19:41.240 --> 0:19:43.800
<v Speaker 2>similar at leisure wear but at a lower price point too.

0:19:44.280 --> 0:19:46.720
<v Speaker 2>When it comes to this new CEO, Calvin MacDonald, the

0:19:46.760 --> 0:19:48.760
<v Speaker 2>current c is set to a step down, and I

0:19:48.800 --> 0:19:50.919
<v Speaker 2>know Elliott has been a big player in pushing for

0:19:51.000 --> 0:19:54.000
<v Speaker 2>Jan Nielsen, the former CFO at Ralph Lauren, to replace him.

0:19:55.119 --> 0:19:58.120
<v Speaker 2>What's the latest on that. Do we presume that Jane

0:19:58.160 --> 0:19:59.639
<v Speaker 2>Nielsen is going to be the next CEO?

0:20:01.000 --> 0:20:03.640
<v Speaker 10>I mean we don't know yet right so it's definitely

0:20:03.840 --> 0:20:06.680
<v Speaker 10>one of the contenders and could be. And I think

0:20:06.720 --> 0:20:09.400
<v Speaker 10>as long as they get a product led executive, which

0:20:09.400 --> 0:20:12.480
<v Speaker 10>he is, Little Lemon could be in good hands to

0:20:12.520 --> 0:20:13.679
<v Speaker 10>continue this turnaround.

0:20:14.040 --> 0:20:16.960
<v Speaker 2>Founder Chip Wilson is also kind of involved here, that's

0:20:17.000 --> 0:20:19.480
<v Speaker 2>another name that we haven't heard from in a while.

0:20:19.560 --> 0:20:22.720
<v Speaker 2>He founded the company. He no longer sits on the board,

0:20:22.760 --> 0:20:25.080
<v Speaker 2>but he still owns about nine percent of the stock.

0:20:25.400 --> 0:20:27.880
<v Speaker 2>How much do you pay attention to what he says?

0:20:28.200 --> 0:20:30.880
<v Speaker 10>We definitely look at it. Look what he said was important.

0:20:30.880 --> 0:20:34.040
<v Speaker 10>He founded the company. The company was grounded on innovation,

0:20:34.200 --> 0:20:38.080
<v Speaker 10>on products, and I think he makes fair points that

0:20:38.240 --> 0:20:42.760
<v Speaker 10>the company needs to kind of really re engage with

0:20:42.800 --> 0:20:45.240
<v Speaker 10>the customer and go back to its roots, which is,

0:20:45.520 --> 0:20:47.800
<v Speaker 10>are you still ahead of the competition? Like you know

0:20:47.840 --> 0:20:51.240
<v Speaker 10>you mentioned earlier, competition has increased, and it has, but

0:20:51.359 --> 0:20:54.880
<v Speaker 10>competition was always there. But where is Little Lemon ahead

0:20:54.880 --> 0:20:57.320
<v Speaker 10>of it? Can you get similar at leisure pants or

0:20:57.400 --> 0:21:01.760
<v Speaker 10>leggings at Vory or at Aloe or at Latta? How

0:21:01.800 --> 0:21:04.480
<v Speaker 10>does Little Lemons stand out today? And that's the big

0:21:04.560 --> 0:21:06.240
<v Speaker 10>question that they need to answer.

0:21:06.320 --> 0:21:08.680
<v Speaker 2>Our thanks to put Im Goyel, senior US e Commerce

0:21:08.720 --> 0:21:10.760
<v Speaker 2>and retail analysts at Bloomberg Intelligence.

0:21:10.920 --> 0:21:13.080
<v Speaker 5>We move next to the biotech space.

0:21:12.840 --> 0:21:15.320
<v Speaker 2>And this week tech Giant and Nvidia announced plans to

0:21:15.359 --> 0:21:18.120
<v Speaker 2>invest a billion dollars over five years in a new

0:21:18.200 --> 0:21:21.200
<v Speaker 2>AI lab. And that's with the pharmaceutical company Eli Lilly

0:21:21.640 --> 0:21:22.400
<v Speaker 2>for more on this.

0:21:22.640 --> 0:21:25.840
<v Speaker 5>We were joined by Sam Fazzelli, Bloomberg Intelligence, Director of

0:21:25.840 --> 0:21:28.960
<v Speaker 5>Research for Global Industries and senior pharmaceuticals analysts.

0:21:29.160 --> 0:21:31.240
<v Speaker 2>We started off by asking Sam to break down the

0:21:31.320 --> 0:21:32.600
<v Speaker 2>latest news at ELI Lilly.

0:21:33.080 --> 0:21:36.040
<v Speaker 11>Well, look, I think these are the brillion dollar club

0:21:36.119 --> 0:21:39.080
<v Speaker 11>getting together. A billion dollars is probably dropping the ocean

0:21:39.119 --> 0:21:43.640
<v Speaker 11>for both of them. It's over five years. And what

0:21:43.720 --> 0:21:45.399
<v Speaker 11>I think the aim of this, at the end of

0:21:45.400 --> 0:21:48.080
<v Speaker 11>the day is to try and automate and speed up

0:21:48.119 --> 0:21:52.800
<v Speaker 11>as much of the partly the drudgery of doing lab work,

0:21:52.800 --> 0:21:54.840
<v Speaker 11>because lab work just like as if you were a

0:21:54.920 --> 0:21:58.760
<v Speaker 11>doctor in a clinical setting, you need to take a

0:21:58.760 --> 0:22:00.679
<v Speaker 11>lot of notes, a lot of detail. But at the

0:22:00.680 --> 0:22:04.159
<v Speaker 11>same time, I think they're investing in what appears to

0:22:04.200 --> 0:22:08.840
<v Speaker 11>be automating twenty four to seven experiments, things that human

0:22:08.840 --> 0:22:12.600
<v Speaker 11>beings just can't do. And I know, having been a scientist,

0:22:12.800 --> 0:22:14.720
<v Speaker 11>that sometimes your life is on hold because you have

0:22:14.760 --> 0:22:18.399
<v Speaker 11>to go back and deal with your experiments, yoursells, or

0:22:18.400 --> 0:22:20.399
<v Speaker 11>whatever it is that you're running. So a lot of

0:22:20.440 --> 0:22:22.760
<v Speaker 11>these things I think could speed up and also make

0:22:22.800 --> 0:22:25.239
<v Speaker 11>the life of the scientists a little bit easier at

0:22:25.280 --> 0:22:27.000
<v Speaker 11>the end of the day, though I think the am

0:22:27.040 --> 0:22:31.000
<v Speaker 11>here is to try and get scientific discoveries translated to

0:22:31.080 --> 0:22:33.840
<v Speaker 11>drugs quicker and get them to market quicker.

0:22:34.280 --> 0:22:37.119
<v Speaker 5>Sam, What does this mean for Eli Lilly's rivals? Do

0:22:37.160 --> 0:22:39.760
<v Speaker 5>you expect that we'll see some of its competitors also

0:22:39.920 --> 0:22:42.840
<v Speaker 5>ramp up their AI endeavors given its partnership with the

0:22:42.880 --> 0:22:44.600
<v Speaker 5>company like Nvidia.

0:22:44.960 --> 0:22:47.200
<v Speaker 11>Pretty much all pharma companies. And I just want to

0:22:47.240 --> 0:22:50.720
<v Speaker 11>point you to a recent survey that EI Bloomberg Intelligence

0:22:50.720 --> 0:22:54.800
<v Speaker 11>has done that looked at ten different industries, one of

0:22:54.800 --> 0:22:58.679
<v Speaker 11>which being the pharmaceutical industry. Ask executives, what are you

0:22:58.760 --> 0:23:00.639
<v Speaker 11>doing with this? What are you trying to get to?

0:23:00.720 --> 0:23:03.720
<v Speaker 11>What is the aim? At the end? Everybody is at this.

0:23:03.720 --> 0:23:07.479
<v Speaker 11>This is not something specific to Lily. And you know, Google,

0:23:07.520 --> 0:23:11.560
<v Speaker 11>for example, has has through deep Mind, has created an

0:23:11.560 --> 0:23:15.120
<v Speaker 11>agentic KI called Google Scientists. It's like, I think four

0:23:15.160 --> 0:23:17.639
<v Speaker 11>agents or five agents who interact with each other and

0:23:17.680 --> 0:23:20.560
<v Speaker 11>check each other's hypothesis. So a lot of this is

0:23:20.640 --> 0:23:22.800
<v Speaker 11>going on in all companies, but of course here we

0:23:22.880 --> 0:23:26.320
<v Speaker 11>have Lily, one of the richest farmer companies around in

0:23:26.440 --> 0:23:28.440
<v Speaker 11>terms of the amount of cash blow that is got

0:23:28.800 --> 0:23:33.760
<v Speaker 11>really being able to spend the money without really impacting it.

0:23:33.760 --> 0:23:36.400
<v Speaker 11>It's balance sheet and cash flow, and I'm pretty sure

0:23:36.600 --> 0:23:40.240
<v Speaker 11>everybody's at this, but clearly this is the news, doujou if.

0:23:40.080 --> 0:23:43.119
<v Speaker 2>You like, absolutely, Like you said, it's a drop in

0:23:43.160 --> 0:23:44.800
<v Speaker 2>the bucket for both of these companies. But when you

0:23:44.800 --> 0:23:47.000
<v Speaker 2>have a number like one billion dollars and these big

0:23:47.560 --> 0:23:51.800
<v Speaker 2>brand names, it gets people's attention. What also gets my attention, Sam,

0:23:51.920 --> 0:23:55.080
<v Speaker 2>is Maderna. Maderna obviously one of the vaccine makers during

0:23:55.680 --> 0:23:58.919
<v Speaker 2>the pandemic, but it's had a rough go at it

0:23:59.000 --> 0:24:03.280
<v Speaker 2>recently because it's so dependent on these vaccines and we

0:24:03.359 --> 0:24:06.400
<v Speaker 2>have an administration that is kind of anti vaccine right now.

0:24:06.560 --> 0:24:09.520
<v Speaker 2>Yet madernal pre announced at the JP Morgan Healthcare conference

0:24:09.520 --> 0:24:12.400
<v Speaker 2>that is the US COVID business did better than expected.

0:24:12.960 --> 0:24:17.080
<v Speaker 2>Is Madernas starting to stabilize, Well.

0:24:16.960 --> 0:24:20.840
<v Speaker 11>One would hope. So they've stuck with their aim of

0:24:21.000 --> 0:24:24.199
<v Speaker 11>growing twenty twenty six point ten percent. But you know,

0:24:24.400 --> 0:24:26.600
<v Speaker 11>if you look back at the beginning of the year,

0:24:26.640 --> 0:24:30.520
<v Speaker 11>where the company in twenty twenty five started with guidance

0:24:31.000 --> 0:24:33.600
<v Speaker 11>and where we ended up, we're a good five six

0:24:33.680 --> 0:24:36.240
<v Speaker 11>hundred million dollars short of what the hope was at

0:24:36.240 --> 0:24:39.359
<v Speaker 11>the beginning of the year. So everybody, I thinking knows

0:24:39.560 --> 0:24:41.639
<v Speaker 11>that this is a very difficult market to call for

0:24:41.720 --> 0:24:44.720
<v Speaker 11>exactly the reasons you just highlighted. There is a constant

0:24:44.840 --> 0:24:47.359
<v Speaker 11>change in the way that the administration in the US,

0:24:47.400 --> 0:24:51.040
<v Speaker 11>and not just the US elsewhere is also dealing with vaccination,

0:24:51.960 --> 0:24:55.360
<v Speaker 11>particularly in the COVID side of things. Other vaccinations are

0:24:55.359 --> 0:24:59.520
<v Speaker 11>still pretty much well settled and at least outside the US.

0:25:00.000 --> 0:25:03.880
<v Speaker 11>Problem also that MODERNA is going to face or has

0:25:03.920 --> 0:25:05.840
<v Speaker 11>been facing, is that there are lots of people. There's

0:25:06.000 --> 0:25:08.480
<v Speaker 11>I think my patent colleagues say that at least twenty

0:25:09.119 --> 0:25:13.800
<v Speaker 11>various directions of legal cases or trials going on different

0:25:13.920 --> 0:25:16.600
<v Speaker 11>groups saying you're infringing my patents, so you've fringe my

0:25:16.680 --> 0:25:18.639
<v Speaker 11>patents and you need to because there was billions and

0:25:18.720 --> 0:25:22.760
<v Speaker 11>billions of dollars of revenues. So some of that is

0:25:22.800 --> 0:25:28.320
<v Speaker 11>coming potentially in the March timeframe, very lightly against a

0:25:28.359 --> 0:25:31.120
<v Speaker 11>trial coming up against our Bridges, another company that's listed

0:25:31.160 --> 0:25:33.360
<v Speaker 11>in the US. So some of that is I think

0:25:33.440 --> 0:25:36.520
<v Speaker 11>something that might keep people from getting too excited.

0:25:36.640 --> 0:25:40.000
<v Speaker 5>Our Thanks to Sam Fazzelli, Bloomberg Intelligence Director of Research

0:25:40.000 --> 0:25:43.679
<v Speaker 5>for Global Industries and senior pharmaceuticals analyst, coming up all

0:25:43.680 --> 0:25:46.400
<v Speaker 5>look at how artificial intelligence is changing shopping.

0:25:46.640 --> 0:25:49.760
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:49.800 --> 0:25:52.479
<v Speaker 2>depth research and data on two thousand companies and one

0:25:52.560 --> 0:25:53.680
<v Speaker 2>hundred and thirty industries.

0:25:54.040 --> 0:25:57.720
<v Speaker 5>You can access Bloomberg Intelligence via big on the terminal.

0:25:57.800 --> 0:26:01.240
<v Speaker 5>I'm Alexandra Semenova and I'm Scarlett Foo. This is Bloomberg.

0:26:09.320 --> 0:26:13.840
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:26:14.160 --> 0:26:15.480
<v Speaker 1>on Bloomberg Radio.

0:26:16.240 --> 0:26:17.280
<v Speaker 2>I'm Scarlet Foo.

0:26:17.320 --> 0:26:20.080
<v Speaker 5>And I'm Alexandra Semenova filling in for Paul Sweeney.

0:26:20.160 --> 0:26:22.159
<v Speaker 2>We move now to some news in the tech space.

0:26:22.640 --> 0:26:25.240
<v Speaker 5>This week, we heard that the tech giant Meta Platforms

0:26:25.320 --> 0:26:27.359
<v Speaker 5>is beginning to cut more than a thousand jobs from

0:26:27.400 --> 0:26:28.800
<v Speaker 5>its Reality Labs division.

0:26:29.160 --> 0:26:31.919
<v Speaker 2>It's part of a plan to redirect resources from virtual

0:26:31.920 --> 0:26:35.720
<v Speaker 2>reality and metaverse products towards AI, wearables and phone features.

0:26:36.040 --> 0:26:37.959
<v Speaker 5>For more on this and the latest tech news, we

0:26:37.960 --> 0:26:40.760
<v Speaker 5>were joined by Mandeep Saying, global tech research head at

0:26:40.760 --> 0:26:41.840
<v Speaker 5>Bloomberg Intelligence.

0:26:41.920 --> 0:26:44.199
<v Speaker 2>We first as Ban Deep what these job cuts mean

0:26:44.240 --> 0:26:45.480
<v Speaker 2>for Meta's bottom line.

0:26:45.920 --> 0:26:50.080
<v Speaker 8>I mean reality Lab segment is almost losing twenty billion

0:26:50.119 --> 0:26:54.639
<v Speaker 8>dollars a year and cumulatively they've lost about seventy billion

0:26:54.720 --> 0:26:57.800
<v Speaker 8>dollars over the past three years, so a lot of

0:26:57.840 --> 0:27:02.439
<v Speaker 8>investors questioned, you know, how long they were expected to

0:27:03.200 --> 0:27:06.960
<v Speaker 8>remain patient on those kind of losses. And I think

0:27:06.960 --> 0:27:10.280
<v Speaker 8>the initial rumors were about a thirty percent cut in

0:27:10.320 --> 0:27:14.600
<v Speaker 8>that unit. So this is somewhat below expectations in terms

0:27:14.600 --> 0:27:17.840
<v Speaker 8>of ten percent job cut, but it just goes to

0:27:17.960 --> 0:27:22.160
<v Speaker 8>show that right now, the companies obviously focus more on

0:27:22.200 --> 0:27:25.399
<v Speaker 8>the AI side in terms of building the infrastructure, building

0:27:25.400 --> 0:27:28.399
<v Speaker 8>their own large anguid model, and it may take a

0:27:28.440 --> 0:27:33.840
<v Speaker 8>while to you know, really bring it, bring that LLLM

0:27:33.920 --> 0:27:37.600
<v Speaker 8>concept in that variables or the whether it's a VR

0:27:37.640 --> 0:27:43.080
<v Speaker 8>headsets or the glasses. And I mean when you compare

0:27:43.560 --> 0:27:47.440
<v Speaker 8>VR headsets or the glasses that they're selling to let's

0:27:47.440 --> 0:27:51.480
<v Speaker 8>say AirPods, the number of units pale in comparison. We're talking,

0:27:51.560 --> 0:27:53.960
<v Speaker 8>you know, ten million, maybe if they do twenty million.

0:27:54.680 --> 0:27:57.400
<v Speaker 8>Apple does more than one hundred million AirPods a year,

0:27:57.960 --> 0:28:01.639
<v Speaker 8>So what's the opportunity here? And I think that's where

0:28:01.720 --> 0:28:04.760
<v Speaker 8>you probably will see more cuts in that business.

0:28:04.840 --> 0:28:07.520
<v Speaker 2>That is a really really important contrast to make there

0:28:07.840 --> 0:28:09.840
<v Speaker 2>in terms of what Meta is trying to do, because

0:28:09.840 --> 0:28:12.040
<v Speaker 2>they want to be part of the mass market here,

0:28:12.080 --> 0:28:16.399
<v Speaker 2>but it's not quite there yet. Mindy. As Meta pivots

0:28:16.440 --> 0:28:18.640
<v Speaker 2>away from VR and the metaverse to AI, what does

0:28:18.640 --> 0:28:20.720
<v Speaker 2>that mean for spending? I mean, they obviously had to

0:28:20.720 --> 0:28:23.439
<v Speaker 2>spend a lot to build out the metaverse, to build

0:28:23.440 --> 0:28:27.639
<v Speaker 2>out their VR offerings, and now they're going to shift

0:28:27.680 --> 0:28:31.000
<v Speaker 2>everything to building out the AI offerings of large language models,

0:28:31.040 --> 0:28:35.280
<v Speaker 2>these AI glasses. What do you think that the pace

0:28:35.320 --> 0:28:37.399
<v Speaker 2>of spending will just kind of continue, It won't really

0:28:37.520 --> 0:28:38.360
<v Speaker 2>shift all that much.

0:28:39.120 --> 0:28:42.280
<v Speaker 8>Yes, On the AI side, the opportunity is huge. What

0:28:42.400 --> 0:28:46.040
<v Speaker 8>everyone is chasing right now is an AI agent that

0:28:46.160 --> 0:28:50.200
<v Speaker 8>can book your travel, your Uber trip, order food, you know,

0:28:50.480 --> 0:28:53.680
<v Speaker 8>do shopping for you. That's the vision Google is chasing.

0:28:53.720 --> 0:28:58.000
<v Speaker 8>That's what Amazon alexaplus launch was all about. So Meta

0:28:58.120 --> 0:29:01.400
<v Speaker 8>has that surface area with you know, Instagram and WhatsApp,

0:29:01.520 --> 0:29:05.480
<v Speaker 8>and you could argue they could in theory develop such

0:29:05.520 --> 0:29:09.920
<v Speaker 8>an agent, but the hard part is integration and getting

0:29:09.960 --> 0:29:13.400
<v Speaker 8>the AI to where it's you know, reliable and predictable.

0:29:13.440 --> 0:29:17.800
<v Speaker 8>And that's where I mean, it's anybody's guests who is

0:29:17.880 --> 0:29:21.920
<v Speaker 8>best positioned. I think the Apple Google partnership that we

0:29:22.000 --> 0:29:25.280
<v Speaker 8>saw this week is probably a negative for Meta in

0:29:25.320 --> 0:29:29.080
<v Speaker 8>this sense. Like, if Apple is setting up defaults in

0:29:29.120 --> 0:29:32.240
<v Speaker 8>their phone, then that makes it hard for an external

0:29:33.280 --> 0:29:36.880
<v Speaker 8>kind of agent to do these kind of things. So

0:29:37.320 --> 0:29:42.240
<v Speaker 8>from that perspective, distribution really matters and operating system control

0:29:42.400 --> 0:29:46.920
<v Speaker 8>really matters. So Meta is somewhat at a disadvantage when

0:29:46.920 --> 0:29:49.840
<v Speaker 8>it comes to, you know, their distribution on Apple and

0:29:49.840 --> 0:29:50.800
<v Speaker 8>Android devices.

0:29:51.000 --> 0:29:54.480
<v Speaker 5>Mandy. We also got new Airbnb hired Meta's head of

0:29:54.600 --> 0:29:58.240
<v Speaker 5>General AI, which is really interesting because wasn't it not

0:29:58.360 --> 0:30:01.160
<v Speaker 5>too long ago that they declined work with open AI.

0:30:01.240 --> 0:30:04.320
<v Speaker 5>What does this all mean for its artificial intelligence endeavors.

0:30:04.520 --> 0:30:08.240
<v Speaker 8>Yeah, I think Brian Chesky has been quite vocal about

0:30:08.480 --> 0:30:12.960
<v Speaker 8>using open source llms as opposed to you know, proprietary

0:30:13.240 --> 0:30:17.520
<v Speaker 8>llms like open AI and Gemini, and so his thing is,

0:30:17.920 --> 0:30:21.320
<v Speaker 8>I've got a direct customer traffic coming to my website.

0:30:21.840 --> 0:30:26.040
<v Speaker 8>If I give away you know, my bookings interface to

0:30:26.160 --> 0:30:30.080
<v Speaker 8>these llms, then I'm losing that customer direct customer touch.

0:30:30.720 --> 0:30:33.080
<v Speaker 8>And he doesn't want to do that. He instead wants

0:30:33.120 --> 0:30:35.880
<v Speaker 8>to build his own LLM based on an open source

0:30:36.320 --> 0:30:38.520
<v Speaker 8>model that's already out there, and that's where you know,

0:30:39.320 --> 0:30:42.440
<v Speaker 8>Meta has open source their model in the past, so

0:30:42.520 --> 0:30:45.400
<v Speaker 8>it makes sense to have somebody from Meta come in

0:30:45.520 --> 0:30:49.280
<v Speaker 8>and do something along those lines. AB and B has

0:30:49.320 --> 0:30:52.400
<v Speaker 8>been open to using Chinese open source models and building

0:30:52.440 --> 0:30:54.600
<v Speaker 8>on top of that. So from that perspective, it's an

0:30:54.640 --> 0:30:58.120
<v Speaker 8>interesting strategy that they are going ahead with in terms

0:30:58.160 --> 0:31:01.120
<v Speaker 8>of using all kinds of open source and not just

0:31:01.360 --> 0:31:02.600
<v Speaker 8>you know, the US based model.

0:31:02.760 --> 0:31:04.680
<v Speaker 2>Who in the tech world is winning the talent war

0:31:04.760 --> 0:31:08.000
<v Speaker 2>because it felt like for a long time open AI

0:31:08.120 --> 0:31:10.240
<v Speaker 2>and traffic they were, you know, picking up a lot

0:31:10.240 --> 0:31:12.080
<v Speaker 2>of talent. Is that still the case?

0:31:13.160 --> 0:31:15.480
<v Speaker 8>I mean right now, the talent is going to where

0:31:15.520 --> 0:31:18.760
<v Speaker 8>the compute is. If you don't have the compute, you

0:31:19.000 --> 0:31:22.280
<v Speaker 8>just cannot attract the talent because these models need a

0:31:22.320 --> 0:31:25.480
<v Speaker 8>lot of compute for training. And you may be the

0:31:25.520 --> 0:31:28.080
<v Speaker 8>smartest person, but if you don't have the computer, you

0:31:28.120 --> 0:31:32.080
<v Speaker 8>can't test your idea. So from that perspective, infrastructure build

0:31:32.200 --> 0:31:34.880
<v Speaker 8>really matters, which is why in Nvidia, even though they

0:31:34.880 --> 0:31:38.160
<v Speaker 8>are the chip provider, now they launch their own foundational

0:31:38.240 --> 0:31:42.360
<v Speaker 8>model in autos self driving that just goes to show

0:31:42.440 --> 0:31:45.720
<v Speaker 8>what compute can do, you know, and Vidia is definitely

0:31:45.720 --> 0:31:47.840
<v Speaker 8>moving up the stax. It will be interesting to see

0:31:47.840 --> 0:31:50.880
<v Speaker 8>how many areas where they compete in with their own

0:31:50.880 --> 0:31:52.600
<v Speaker 8>foundational model man Deep.

0:31:52.600 --> 0:31:55.440
<v Speaker 5>We're early into the earning season, but big tech results

0:31:55.480 --> 0:31:57.520
<v Speaker 5>will be here before we know it. And obviously the

0:31:57.520 --> 0:31:59.680
<v Speaker 5>bar is really high when it comes to what these

0:31:59.680 --> 0:32:03.760
<v Speaker 5>companies are saying about how they're monetizing their heavy AI investments.

0:32:03.760 --> 0:32:06.120
<v Speaker 5>Do you think that they'll live up to the expectations.

0:32:06.600 --> 0:32:08.800
<v Speaker 8>I think right now you have to focus on where

0:32:08.840 --> 0:32:13.880
<v Speaker 8>you will see positive earnings revisions, and given the kapex

0:32:13.920 --> 0:32:16.880
<v Speaker 8>investments are going up for this year, it's going to

0:32:16.920 --> 0:32:19.920
<v Speaker 8>be hard to show, you know, positive revisions when it

0:32:19.920 --> 0:32:24.360
<v Speaker 8>comes to earnings, except for someone like Alphabet that really

0:32:24.400 --> 0:32:28.640
<v Speaker 8>has seen a big shift in sentiment because one everyone

0:32:28.760 --> 0:32:31.600
<v Speaker 8>realizes that their models have caught up, and they also

0:32:31.600 --> 0:32:34.160
<v Speaker 8>are the most efficient when it comes to their stack,

0:32:34.240 --> 0:32:37.600
<v Speaker 8>the use of TPUs and low cost inferencing. So from

0:32:37.600 --> 0:32:41.200
<v Speaker 8>that perspective, I think Alphabet clearly is best position to

0:32:41.280 --> 0:32:44.760
<v Speaker 8>deliver positive surprises. But for someone like Meta, I mean,

0:32:44.800 --> 0:32:48.240
<v Speaker 8>if you're hearing job cuts, then you know probably it's

0:32:48.280 --> 0:32:49.920
<v Speaker 8>going to be hard for them to you know, show

0:32:49.960 --> 0:32:51.280
<v Speaker 8>positive revisions this year.

0:32:51.640 --> 0:32:54.600
<v Speaker 5>Our thanks to man Deep sing Global Tech Research had

0:32:54.640 --> 0:32:56.440
<v Speaker 5>at Bloomberg Intelligence this week.

0:32:56.520 --> 0:32:59.280
<v Speaker 2>We also looked at the e commerce platform Commerce which

0:32:59.320 --> 0:33:02.959
<v Speaker 2>provides a driven tools for brands and retaillers. This company

0:33:03.000 --> 0:33:05.640
<v Speaker 2>trades on the NAZAC under the ticker CMRC.

0:33:06.120 --> 0:33:09.080
<v Speaker 5>We were joined by the company's CEO, Travis Hess, who

0:33:09.160 --> 0:33:12.400
<v Speaker 5>discussed how AI is changing shopping and this came on

0:33:12.440 --> 0:33:16.720
<v Speaker 5>the heels of Google launching its Universal Commerce Protocol or UCP.

0:33:17.240 --> 0:33:20.800
<v Speaker 2>Commerce is an active partner in UCP, which enables buying

0:33:20.840 --> 0:33:24.720
<v Speaker 2>directly across Google's AI surfaces. We first asked Travis to

0:33:24.840 --> 0:33:28.360
<v Speaker 2>break down Google's UCP and just how exactly this makes

0:33:28.360 --> 0:33:29.200
<v Speaker 2>shopping easier.

0:33:30.000 --> 0:33:32.840
<v Speaker 3>Given the extent of which Google plays in all of

0:33:32.880 --> 0:33:36.120
<v Speaker 3>our lives and how people think of them, It's essentially

0:33:36.120 --> 0:33:40.040
<v Speaker 3>setting the foundation and the standard for brands and retailers

0:33:40.040 --> 0:33:42.720
<v Speaker 3>and other organizations to be able to scale agent to

0:33:42.760 --> 0:33:46.680
<v Speaker 3>commerce across all of the surfaces that Google AI would hit.

0:33:46.720 --> 0:33:50.480
<v Speaker 3>So think of the contextualized conversations everyone's having through answer

0:33:50.520 --> 0:33:54.960
<v Speaker 3>engines today. Those conversations are then dynamically recommending not only

0:33:55.040 --> 0:33:58.400
<v Speaker 3>experiences and facts, but certainly shopping and brands based on

0:33:58.520 --> 0:34:01.440
<v Speaker 3>the enrichment of data against those surfaces, and Google is

0:34:01.520 --> 0:34:04.560
<v Speaker 3>enabling a standard by which consumers would be able to

0:34:04.600 --> 0:34:08.720
<v Speaker 3>buy in a standardized, safe secure way. As it serves

0:34:08.840 --> 0:34:12.440
<v Speaker 3>up discovery, you'll be able to buy seamlessly across those surfaces.

0:34:12.239 --> 0:34:14.800
<v Speaker 5>Travis, can you walk us through how AI will change

0:34:14.840 --> 0:34:18.160
<v Speaker 5>the shopping experience in practical terms? Let's say I'm looking

0:34:18.239 --> 0:34:20.839
<v Speaker 5>for a bag? How do I go about using your platform?

0:34:21.080 --> 0:34:24.080
<v Speaker 3>The consumer behavior has changed more than anything, So the

0:34:24.160 --> 0:34:27.120
<v Speaker 3>amount of eyeballs and behavior going to the answer engines

0:34:27.200 --> 0:34:30.440
<v Speaker 3>is probably the fastest adopting technology we've seen. So because

0:34:30.520 --> 0:34:33.120
<v Speaker 3>the consumers are going there and they're having these conversations,

0:34:33.800 --> 0:34:36.200
<v Speaker 3>brands and retailers are having to respond in kind, and

0:34:36.480 --> 0:34:38.640
<v Speaker 3>they tend to have a fair amount of brand ethos,

0:34:39.120 --> 0:34:41.279
<v Speaker 3>so they're very concerned about where they show up, how

0:34:41.280 --> 0:34:42.600
<v Speaker 3>they show up, and who they show up next to.

0:34:42.920 --> 0:34:44.840
<v Speaker 3>So trust is at the cornerstone of this. So a

0:34:44.840 --> 0:34:47.120
<v Speaker 3>lot of the foundational stuff you're hearing about now is

0:34:47.160 --> 0:34:48.719
<v Speaker 3>to set up that trust. So when you're shopping for

0:34:48.760 --> 0:34:51.960
<v Speaker 3>that bag, it's giving you a response that you can

0:34:52.000 --> 0:34:55.200
<v Speaker 3>objectively trust. It's not serving up who paid the most

0:34:55.360 --> 0:34:57.960
<v Speaker 3>to be listed or injected in that conversation. The thesis

0:34:58.000 --> 0:35:01.560
<v Speaker 3>behind this is based on your own behavior within those

0:35:01.600 --> 0:35:04.919
<v Speaker 3>answer engines, and of course other behavior within Google. Whether

0:35:04.920 --> 0:35:07.480
<v Speaker 3>that's through Chrome or through other Google products. They have

0:35:07.520 --> 0:35:10.640
<v Speaker 3>a unique advantage there because of the amount of surfaces

0:35:10.640 --> 0:35:14.400
<v Speaker 3>an individual might use to synthesize that in a hyper

0:35:14.440 --> 0:35:17.640
<v Speaker 3>personalized way. So think of it as not only shopping either,

0:35:17.640 --> 0:35:20.080
<v Speaker 3>but think of going into your favorite store and someone

0:35:20.160 --> 0:35:22.520
<v Speaker 3>as you walk in can scan a code and immediately

0:35:22.560 --> 0:35:25.080
<v Speaker 3>knows what you own, what you like, where you're going,

0:35:25.120 --> 0:35:27.160
<v Speaker 3>what you're looking for, so they could curate something for

0:35:27.200 --> 0:35:30.680
<v Speaker 3>you immediately. Where that friction is removed through the process.

0:35:30.800 --> 0:35:33.440
<v Speaker 3>Think of that virtually in this particular capacity. That's the

0:35:33.440 --> 0:35:33.959
<v Speaker 3>future state.

0:35:34.200 --> 0:35:36.399
<v Speaker 2>So all the information that Google has on me, they

0:35:36.400 --> 0:35:38.279
<v Speaker 2>are also selling who are they selling it to?

0:35:38.440 --> 0:35:41.080
<v Speaker 3>Oh that's not for me, that's that's top.

0:35:42.520 --> 0:35:44.440
<v Speaker 2>I mean. The reason I ask is because it depends

0:35:44.480 --> 0:35:46.680
<v Speaker 2>on me logging into Google for them to give me

0:35:46.719 --> 0:35:49.759
<v Speaker 2>those personalized recommendations. If I don't choose to log in,

0:35:49.880 --> 0:35:51.760
<v Speaker 2>then I end up with the equivalent of a Google

0:35:51.800 --> 0:35:53.040
<v Speaker 2>search on a public computer.

0:35:53.280 --> 0:35:53.560
<v Speaker 8>You do.

0:35:53.640 --> 0:35:56.200
<v Speaker 3>I think the models are changing. Certainly the old model

0:35:56.320 --> 0:36:00.160
<v Speaker 3>was you're searching for terms, and certainly organizations are optimizing

0:36:00.440 --> 0:36:02.759
<v Speaker 3>through SEO to be listed organically at the top, or

0:36:02.840 --> 0:36:06.120
<v Speaker 3>they're through paid search, but listed that still exists today

0:36:06.160 --> 0:36:08.239
<v Speaker 3>certainly in this behavior that drives that, but where this

0:36:08.320 --> 0:36:12.279
<v Speaker 3>is evolving to is called GEO, so generative optimization, which

0:36:12.320 --> 0:36:15.200
<v Speaker 3>is really going to be a combination of structured data,

0:36:15.239 --> 0:36:18.239
<v Speaker 3>which is like product catalog data, skew, color size, all

0:36:18.239 --> 0:36:23.319
<v Speaker 3>those dynamics dimensions coupled with unstructured data, which are brand guidelines,

0:36:23.680 --> 0:36:27.839
<v Speaker 3>call center, transcripts, blogs, articles, all the things that would

0:36:27.840 --> 0:36:32.000
<v Speaker 3>contextualize that brand and that product, if you will. That's

0:36:32.040 --> 0:36:34.960
<v Speaker 3>being enriched oftentimes by us on the petonomic side, which

0:36:35.000 --> 0:36:37.719
<v Speaker 3>is part of our portfolio, and then syndicated across these

0:36:37.760 --> 0:36:41.839
<v Speaker 3>different surfaces, be that Google or Open AI or Microsoft

0:36:42.160 --> 0:36:44.640
<v Speaker 3>or whomever. And it's going to continue to expand as

0:36:44.680 --> 0:36:46.520
<v Speaker 3>the channels have expanded over the last several years.

0:36:46.680 --> 0:36:49.239
<v Speaker 5>What kind of AI trends and retail trends have you

0:36:49.320 --> 0:36:50.000
<v Speaker 5>been monitoring.

0:36:50.160 --> 0:36:53.440
<v Speaker 3>It's all about AI this year. That's what's hot exactly

0:36:53.480 --> 0:36:55.840
<v Speaker 3>this right, I think there's two sides of the spectrum.

0:36:55.880 --> 0:36:58.080
<v Speaker 3>There's a lot of buzz, which is exciting, but at

0:36:58.120 --> 0:37:00.279
<v Speaker 3>the same time, it's confusing a lot of people. Is

0:37:00.640 --> 0:37:03.920
<v Speaker 3>everyone is doing everything and it's hard to kind of reconcile,

0:37:04.040 --> 0:37:06.880
<v Speaker 3>like what's meaningful to the business I think for larger

0:37:06.960 --> 0:37:10.920
<v Speaker 3>organizations that we work with, brand manufacturers and retailers, trust,

0:37:11.040 --> 0:37:14.279
<v Speaker 3>brand ethos, and security are top of mind. So for them,

0:37:14.600 --> 0:37:16.840
<v Speaker 3>it's less about the sizzle, it's more about the stake

0:37:16.920 --> 0:37:19.160
<v Speaker 3>and the foundational elements. I think the importance of the

0:37:19.200 --> 0:37:22.480
<v Speaker 3>Google announcement is they are taking a very pragmatic approach

0:37:22.520 --> 0:37:25.120
<v Speaker 3>to this to lay the tracks so this can scale

0:37:25.160 --> 0:37:28.920
<v Speaker 3>and scale properly with trust, with security, and most importantly

0:37:28.960 --> 0:37:32.040
<v Speaker 3>with a frictionless experience for customers. Because the brands don't

0:37:32.080 --> 0:37:33.840
<v Speaker 3>want to lose that customer data. They still want to

0:37:33.880 --> 0:37:37.319
<v Speaker 3>maintain that experience, even though they're not fully controlling the

0:37:37.360 --> 0:37:39.640
<v Speaker 3>surface by which they're showing up against. It's not like

0:37:39.680 --> 0:37:42.520
<v Speaker 3>they're showing up against their own websites, so they're in

0:37:42.560 --> 0:37:45.080
<v Speaker 3>a surface they don't completely control. They're controlling part of

0:37:45.120 --> 0:37:47.880
<v Speaker 3>it through the data enrichment in syndication, but they're not

0:37:47.880 --> 0:37:51.919
<v Speaker 3>controlling all of it. So they're very, very concerned that

0:37:51.920 --> 0:37:54.080
<v Speaker 3>that experience is a positive one and a frictional list one.

0:37:54.120 --> 0:37:57.120
<v Speaker 3>Otherwise it has ramifications, It drives cost up and call centers,

0:37:57.120 --> 0:38:00.000
<v Speaker 3>it drives maybe negative customer experience, it drives back things

0:38:00.520 --> 0:38:03.040
<v Speaker 3>exactly we're in turns bad things on the back end.

0:38:03.160 --> 0:38:06.040
<v Speaker 3>So that's the reconciliation people are trying to have. But yes,

0:38:06.320 --> 0:38:09.000
<v Speaker 3>that EI has sucked all the oxygen out of the

0:38:09.040 --> 0:38:09.640
<v Speaker 3>room at Javis.

0:38:09.680 --> 0:38:10.319
<v Speaker 4>And it's a big rule.

0:38:10.680 --> 0:38:12.960
<v Speaker 2>What will AI not change for shoppers?

0:38:15.840 --> 0:38:20.399
<v Speaker 3>But will it not change for shoppers? I think the

0:38:20.480 --> 0:38:23.600
<v Speaker 3>behavior and the surfaces by which they're going to they're

0:38:23.640 --> 0:38:25.719
<v Speaker 3>still going to go to. Right. I think new ones

0:38:25.760 --> 0:38:29.920
<v Speaker 3>are showing up. I think the expectation personalization has been

0:38:29.920 --> 0:38:33.600
<v Speaker 3>promised for a long time. I think there's some hesitancy

0:38:33.640 --> 0:38:36.560
<v Speaker 3>there around the trust, So I think overcoming the trust

0:38:36.640 --> 0:38:40.160
<v Speaker 3>aspect of this and having that reinforced through continued behavior.

0:38:40.280 --> 0:38:42.040
<v Speaker 3>The shopping is very new. There was a big rush

0:38:42.040 --> 0:38:45.320
<v Speaker 3>to do this in holiday and the experiences weren't great,

0:38:45.760 --> 0:38:47.520
<v Speaker 3>so I think there's a little bit of hesitation. I

0:38:47.520 --> 0:38:50.160
<v Speaker 3>think you'll see a much more robust offering this holiday season.

0:38:50.600 --> 0:38:52.960
<v Speaker 5>Our thanks to Commerce CEO Travis Hess.

0:38:53.200 --> 0:38:56.439
<v Speaker 2>That is this week's edition of Bloomberg Intelligence on Bloomberg Radio,

0:38:56.560 --> 0:38:59.280
<v Speaker 2>providing in depth research and data on two thousand companies

0:38:59.320 --> 0:39:00.719
<v Speaker 2>and one hundred the industries.

0:39:01.120 --> 0:39:04.279
<v Speaker 5>And remember you can access Bloomberg Intelligence via bi go

0:39:04.560 --> 0:39:06.839
<v Speaker 5>on the terminal I'm Alexandra Samonova and.

0:39:06.800 --> 0:39:09.239
<v Speaker 2>I'm Scarlet Foo. Stay with us. Today's top stories and

0:39:09.280 --> 0:39:12.400
<v Speaker 2>global business headlines are coming up right now.