WEBVTT - Qualcomm's Dual Business Model Remains A Risk: Ovide

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<v Speaker 1>Welcome to the Bloomberg Penl Podcast. I'm Paul swing you

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<v Speaker 1>along with my co host Lisa Brahma wits. Each day

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<v Speaker 1>we bring you the most noteworthy and useful interviews for

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<v Speaker 1>you and your money, whether at the grocery store or

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<v Speaker 1>the trading floor. Find a Bloomberg Penl podcast on Apple

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<v Speaker 1>podcast or wherever you listen to podcasts, as well as

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<v Speaker 1>at Bloomberg dot com. Qualcom is really a mysterious story

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<v Speaker 1>right now, Shares down more than two and a half

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<v Speaker 1>percent today after a nearly eleven percent tumble yesterday. A

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<v Speaker 1>question is whether their business model is being fundamentally challenged

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<v Speaker 1>right now in court and whether basically, uh, they have

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<v Speaker 1>an existential threat that is looming down on them. I'm

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<v Speaker 1>sure overday joining us here at our Bloomberg Interactive Broker

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<v Speaker 1>Studios Technology calumnists with Bloomberg Opinion. So just lay out

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<v Speaker 1>the issue here. There was a core case that was

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<v Speaker 1>particularly punitive why Yes. So this was a court case

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<v Speaker 1>that the US Federal Trade Mission brought. It was an

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<v Speaker 1>antitrust case and then um overnight on Tuesday, uh U

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<v Speaker 1>S District Court judge ruled that basically, um, the way

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<v Speaker 1>that qualcomn has conducted business is in fact a violation

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<v Speaker 1>of antitrust law. The way that the company basically, if

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<v Speaker 1>you want Qualcomms chips, you need to license a set

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<v Speaker 1>of of patent technologies from the company. So there's no license,

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<v Speaker 1>no chips. And also, even if you're not using qualcoms chips,

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<v Speaker 1>you still need to pay the company for these kind

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<v Speaker 1>of collection of patents that are really essential to the

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<v Speaker 1>functioning of modern smartphones and other computing devices. And the

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<v Speaker 1>judge that that's not legal. Well, I had to admit

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<v Speaker 1>I was very confused by the judges ruling today and surprised,

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<v Speaker 1>and I guess so was the market. The stock sold

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<v Speaker 1>off so much yesterday because when they had their Apple

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<v Speaker 1>resolution um a couple of weeks ago, the stock rallied

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<v Speaker 1>and I thought, Okay, that's it, the qual tom story.

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<v Speaker 1>It's off to the races. But there was still the

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<v Speaker 1>FTC issue out there, So this is something that's still

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<v Speaker 1>fundamentally on the radar for this company. Yes, and frankly

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<v Speaker 1>I thought the same thing about the Apple case. So

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<v Speaker 1>the Apple brought suit against qualcom over almost exactly the

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<v Speaker 1>same issues that the judge ruled on this week, and

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<v Speaker 1>so you're right. When Qualcom and Apple reached a legal settlement,

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<v Speaker 1>I think a lot of investors thought, well, that's behind them.

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<v Speaker 1>But look, this issue about Qualcom's dual sided business model,

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<v Speaker 1>the selling of chips and the licensing of its patents,

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<v Speaker 1>and the links between them. It's been an issue over

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<v Speaker 1>and over and over again and repeated litigation, in repeated

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<v Speaker 1>regulatory um investigations and finds all over the world. It

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<v Speaker 1>is kind of a fundamental aspect of Qualcoms business, but

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<v Speaker 1>it's also under constant assault. Well, and so I guess

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<v Speaker 1>that then the larger question here is what is Qualcom

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<v Speaker 1>as a business without the stream of patent revenues. Because

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<v Speaker 1>you were saying, we were speaking earlier this morning, that

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<v Speaker 1>those patent revenues account for more than fifty percent of

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<v Speaker 1>the firm's income. Well, I guess we may see what

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<v Speaker 1>what Qualcom looks like if if you sort of untangle

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<v Speaker 1>the two halves of the company's business. But we should

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<v Speaker 1>say that, look, this may not be kind of the

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<v Speaker 1>nuclear option in this in this legal ruling that Qualcom

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<v Speaker 1>hasn't disagrees with the judges' decision. Of course, the company

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<v Speaker 1>has asked for an expedited appeal. I assume the litigation

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<v Speaker 1>is going to the appeal process is going to take

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<v Speaker 1>many years to resolve. They are there may be ways

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<v Speaker 1>for Qualcom to sort of adjust its relationships with customers

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<v Speaker 1>in a way that doesn't mean dumping one or or

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<v Speaker 1>or the other half of its business model. So there

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<v Speaker 1>could be some kind of middle ground that is not

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<v Speaker 1>kind of Qualcom blowing up how it does business. Is

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<v Speaker 1>there any chance for a settlement or the fact or

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<v Speaker 1>have we just passed that point now? Between the you

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<v Speaker 1>know Qualcom in the FTC, I I mean, I think

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<v Speaker 1>the f you know since the FTC one this case,

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<v Speaker 1>I can't. I mean, I don't know, is the short answer.

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<v Speaker 1>But I find it hard to believe there would be

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<v Speaker 1>a settlement. But again, there could be um some kind

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<v Speaker 1>of resolution assuming the judges judges decision holds up on appeal,

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<v Speaker 1>that falls short of Qualcom having to blow up everything

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<v Speaker 1>and subject itself to government scrutiny, government oversight for seven years.

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<v Speaker 1>So we were talking about how Apple had their lawsuit

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<v Speaker 1>against Qualcom. Who is the biggest sort of I don't

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<v Speaker 1>want to use the word victims since that's loaded, But

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<v Speaker 1>who's on the other side of some of these suits.

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<v Speaker 1>Who's most angry, Well, certainly the customers, including UM, including

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<v Speaker 1>smartphone makers like Samsung and Apple and Huawei. The latter

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<v Speaker 1>two had various litigation pending against Qualcom. And look, I

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<v Speaker 1>think what the FTC argued in its litigation was that

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<v Speaker 1>the ultimate victim is the competitiveness of of the US

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<v Speaker 1>chip industry. That the judge agreed that the way the

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<v Speaker 1>Qualcom does bus nous of the way was able to

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<v Speaker 1>sort of leverage its power in the chip market to

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<v Speaker 1>sort of overcharge basically for its patents. It forced other

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<v Speaker 1>companies either out of business, other potential competitors to Qualcom

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<v Speaker 1>force them out of business, or kind of hindered their

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<v Speaker 1>ability to compete. So ultimately, you know, the competitive the

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<v Speaker 1>competitiveness of US technology may have been the ultimate victim here.

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<v Speaker 1>And one of the things I remember, if I can

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<v Speaker 1>think all the way back to the Apple settlement just

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<v Speaker 1>a few weeks ago, Uh, they were hailing it as

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<v Speaker 1>you know, this kind of pro five G or pro technology. UM.

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<v Speaker 1>Is that an argument you think Qualcom is gonna make

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<v Speaker 1>here as they try to, you know, fight back against

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<v Speaker 1>this ruling. Yeah, I think the five G argument is

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<v Speaker 1>going to be very interesting. So we saw last year

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<v Speaker 1>the US government stepped into essentially block Broadcoms proposed um

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<v Speaker 1>takeover offer of Qualcom that would have been a hundred

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<v Speaker 1>billion dollar plus deal, and the government. The US government's

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<v Speaker 1>reasoning was, if Broadcom succeeds in this takeover, Qualcom is

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<v Speaker 1>gonna be gutted. They're gonna slash costs, and that's gonna

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<v Speaker 1>hurt qual Comms competitiveness in five G, this next generation

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<v Speaker 1>of wireless standard that is considered sort of this essential

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<v Speaker 1>national security priority, which is weird because I mean, look,

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<v Speaker 1>it's a technology standard, but the US government and the

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<v Speaker 1>Chinese government to have now basically made five G this

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<v Speaker 1>political football. And so one thing that I wonder is

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<v Speaker 1>will the US government step in uh in this litigation

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<v Speaker 1>that the FTC one and basically seek to blunt it

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<v Speaker 1>against citing the ability of Qualcom to remain competitive in

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<v Speaker 1>five G. I have to wonder what qual Comms side

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<v Speaker 1>of this is, because I hear what you're saying, and

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<v Speaker 1>I thought that it was a really salient comment that

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<v Speaker 1>you made. The competitiveness of US technology may have been

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<v Speaker 1>the biggest victim here. What does Qualcomms say to that

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<v Speaker 1>what qual Comms argument is the opposite that it says,

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<v Speaker 1>look that their business model is not unusual, that the

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<v Speaker 1>chip industry is competitive, and if you look at some

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<v Speaker 1>some estimates of market share, Qualcom is losing some market share,

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<v Speaker 1>which shows that there is competition out there. And Qualcom's

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<v Speaker 1>basic fundamental point is, look the way that we have

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<v Speaker 1>set up our business model, including this patent licensing stream,

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<v Speaker 1>we plow that back into tens of billions of dollars

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<v Speaker 1>in research and development spending to come up with the

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<v Speaker 1>next big technologies in the future. And look, it is

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<v Speaker 1>true that particularly in areas around cellular internet technology, Qualcom

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<v Speaker 1>has been a leader, and there would be no smartphone

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<v Speaker 1>industry without Qualcom. It's interesting. I think if I'm a guess,

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<v Speaker 1>if I'm a Qualcom investor, I just have to live

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<v Speaker 1>with this litigation risk going forward. I guess kind of

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<v Speaker 1>the business model just licensing technology, and you're always gonna

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<v Speaker 1>have that issue. I think, are you're gonna bett in

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<v Speaker 1>the Trump put with five G and that I think

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<v Speaker 1>it's really going to be a big bet underpitting some

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<v Speaker 1>people who might dive in and buy the shares as

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<v Speaker 1>they fall to day. Yeah. Interesting share of a day.

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<v Speaker 1>Thank you so much for joining us once again. Shearer's

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<v Speaker 1>Technology Comms for Bloomberg Opinion. Joining us here in our

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<v Speaker 1>Bloomberg Interactive Broker studio, Paul. We like to laugh when

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<v Speaker 1>company after company blames the weather for disappointing earnings. But

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<v Speaker 1>it turns out they may not have that same excuse

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<v Speaker 1>going forward, at least if Cameron Clayton has anything to

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<v Speaker 1>do with it. He joins us here in our Blooberator

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<v Speaker 1>Active broker studios. He's the general manager for the IBM

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<v Speaker 1>Wattson Media and Weather Unit with IBM and Cameron. Can

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<v Speaker 1>you just first start by how IBM and the Weather

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<v Speaker 1>Channel are using artificial intelligence to help these executives get

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<v Speaker 1>away from just simply blaming the whims of weather. Well,

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<v Speaker 1>thanks for having me, Watson. An artificial intelligence is really

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<v Speaker 1>about a big data and so just give you a

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<v Speaker 1>sense of the scale of the data. So on Wednesday, uh,

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<v Speaker 1>we had thirty four billion data requests of our infrastructure

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<v Speaker 1>asking about weather. And the reason that number is so

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<v Speaker 1>large is because of all the tornadic activity we had

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<v Speaker 1>you know this week in the in the Midwest. But

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<v Speaker 1>when there is that much data being generated every single day.

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<v Speaker 1>The only way to sort of get insights out of

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<v Speaker 1>that data to help people make better decisions, to help

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<v Speaker 1>integrate into their supply chain, et cetera, is using artificial intelligence.

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<v Speaker 1>And so that's where Watson has come to bear and

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<v Speaker 1>and it's just something that wouldn't be possible without official intelligence.

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<v Speaker 1>Al Right, So let's talk about this weather signals product.

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<v Speaker 1>What is it and who are you trying to sell

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<v Speaker 1>it to? I guess yeah, So we're basically selling it

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<v Speaker 1>to prizes around the world by industry, and so whether

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<v Speaker 1>you're a retailer trying to sell inventory, So I'll use

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<v Speaker 1>home depot as an example, right, and and the torn

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<v Speaker 1>netic activity this week. Uh, they've got inventory of top holands,

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<v Speaker 1>but they might be in Los Angeles or in Florida.

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<v Speaker 1>They're not in Kansas and Oklahoma where they need to be,

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<v Speaker 1>and so we can tell them a hit of time

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<v Speaker 1>where to deploy their stock. Uh. Similarly, you know, we

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<v Speaker 1>help drive consumption, right, so weeks in advance, we can say,

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<v Speaker 1>you know, beer sales are going to increase by when

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<v Speaker 1>weather conditions are X and so that ends up integrating

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<v Speaker 1>into all kinds of companies into the supply chain. For

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<v Speaker 1>the logistics as well as the stock but also how

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<v Speaker 1>to staff your company. Right, So I guess that one

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<v Speaker 1>thing that as you talk sort of surprises to me.

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<v Speaker 1>It surprises me. How is this so much different than

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<v Speaker 1>looking at the weather and saying, oh, there's going to

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<v Speaker 1>be a big storm, it's going to be forecast to come.

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<v Speaker 1>Everyone's going to go to the local grocery store and

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<v Speaker 1>buy off, you know, everything that they possibly can. I mean,

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<v Speaker 1>haven't companies been able to do that forever or not forever,

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<v Speaker 1>but for you know decades. So companies have had access

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<v Speaker 1>to weather data from US and others for you know, decades.

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<v Speaker 1>But this is really about making very specific recommendations of

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<v Speaker 1>decisions that they should make specifically for their business. And

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<v Speaker 1>so it integrates into the different software they use. Already

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<v Speaker 1>in retails, a lot of retailers use Tableau as a

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<v Speaker 1>as a software tool. Uh, it integrates into that and

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<v Speaker 1>it makes specific recommendations of exactly what to do. How

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<v Speaker 1>many people should you have come into work in your

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<v Speaker 1>office tomorrow, how many people should not come to work

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<v Speaker 1>on Saturday? Um, and so you know, use this weekend

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<v Speaker 1>is a long weekend for for travel, for example, So

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<v Speaker 1>we will actually in advance, help airlines change their flights

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<v Speaker 1>a jules to accommodate the what we know is an

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<v Speaker 1>increase in traffic UH that's coming. Tie that to the

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<v Speaker 1>weather data and make it very prescriptive. Right, this flight

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<v Speaker 1>going out of this airport to this destination needs to

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<v Speaker 1>be adjusted by thirty minutes, you know, a week or

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<v Speaker 1>two in advance. So give us a sense that this

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<v Speaker 1>weather signals product that you're talking about that incorporates AI,

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<v Speaker 1>it's a relatively new product for you guys. What's been

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<v Speaker 1>the uptake And just give us some examples of maybe

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<v Speaker 1>some companies who who have you know, chosen go this

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<v Speaker 1>round and kind of what they use it for specifically. Yeah,

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<v Speaker 1>so you know, uh, the biggest retailers uh the probably

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<v Speaker 1>shouldn't name, but uh essentially using it today. Uh. And

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<v Speaker 1>so retail is probably the largest category for where the

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<v Speaker 1>signals specifically right now. The second big category is aviation, right,

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<v Speaker 1>so they're adding it to existing solutions that we provide

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<v Speaker 1>an aviation uh. And then you know, we're also bringing

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<v Speaker 1>it all the way up all the way down the

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<v Speaker 1>supply chain, if you like, uh, to agriculture as well.

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<v Speaker 1>And so we're starting to see large scale farms UH

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<v Speaker 1>using it to help make decisions on the farm UH

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<v Speaker 1>in addition to retailers and transportation company. It's so interesting

0:13:16.440 --> 0:13:19.160
<v Speaker 1>to me because most recently you're a chief executive officer

0:13:19.200 --> 0:13:23.120
<v Speaker 1>and general manager of the Weather Company UH and including

0:13:23.160 --> 0:13:25.880
<v Speaker 1>Weather Underground, which I check every morning when I have

0:13:26.000 --> 0:13:28.160
<v Speaker 1>to take the kids to school and have to figure

0:13:28.160 --> 0:13:30.360
<v Speaker 1>out how painful it's going to be. And I guess

0:13:30.400 --> 0:13:34.880
<v Speaker 1>that I'm wondering whether you see the future of weather

0:13:34.960 --> 0:13:38.440
<v Speaker 1>forecasts as being part of this is a sort of

0:13:38.559 --> 0:13:43.640
<v Speaker 1>generating revenue from actually helping the prescriptive to businesses UH

0:13:43.679 --> 0:13:46.120
<v Speaker 1>in a way that perhaps is different than just looking

0:13:46.120 --> 0:13:49.080
<v Speaker 1>at the hourly weather forecast. What I think one of

0:13:49.120 --> 0:13:51.960
<v Speaker 1>the one of the things that's you know, interesting to

0:13:52.000 --> 0:13:54.800
<v Speaker 1>me and I asked about all the time, is accuracy, right,

0:13:55.240 --> 0:13:59.640
<v Speaker 1>And so fifteen years ago, where the forecasting was about

0:13:59.679 --> 0:14:03.959
<v Speaker 1>a not much better than a coin flip, it's about accuracy.

0:14:04.480 --> 0:14:09.360
<v Speaker 1>Jump forward to today, it's about accurate. In the last

0:14:09.400 --> 0:14:11.640
<v Speaker 1>year with the accuracy is improved more than in ten

0:14:11.720 --> 0:14:15.120
<v Speaker 1>years prior. AI is a huge part of that, and

0:14:15.240 --> 0:14:17.600
<v Speaker 1>so we hope that we're gonna be able to take

0:14:17.679 --> 0:14:21.120
<v Speaker 1>these recommendations for decisions all the way down to individuals

0:14:21.200 --> 0:14:23.720
<v Speaker 1>like you write is literal leagu practice is going to

0:14:23.760 --> 0:14:26.280
<v Speaker 1>be canceled. And you know this in the morning. You

0:14:26.320 --> 0:14:29.400
<v Speaker 1>don't find out thirty minutes before you You have to

0:14:29.440 --> 0:14:33.640
<v Speaker 1>adjust your schedule h and every decision in between. Cameron Clayton,

0:14:33.640 --> 0:14:35.880
<v Speaker 1>thanks so much for joining us. Cameron's a general manager

0:14:36.040 --> 0:14:39.040
<v Speaker 1>IBM Watson Media and Weather. Joining us here in our

0:14:39.040 --> 0:14:58.600
<v Speaker 1>Bloomberg Interactive Broker studio. Well, I really can't get over

0:14:58.600 --> 0:15:02.480
<v Speaker 1>the statistics that this statistic that automakers globally have it

0:15:02.760 --> 0:15:06.440
<v Speaker 1>announced at least thirty eight thousand job cuts in the

0:15:06.480 --> 0:15:09.760
<v Speaker 1>past six months, and I really I wonder what this

0:15:09.840 --> 0:15:12.800
<v Speaker 1>says about auto sales going forward and how much they

0:15:12.800 --> 0:15:15.920
<v Speaker 1>are poised to decline. Joining us now, Michelle Krabs, executive

0:15:15.920 --> 0:15:20.120
<v Speaker 1>analyst at auto trader dot Com based in Detroit. Michelle,

0:15:20.160 --> 0:15:22.520
<v Speaker 1>thank you so much for joining us. Let's start there.

0:15:22.880 --> 0:15:26.080
<v Speaker 1>How much do you expect auto sales to decline going forward?

0:15:26.080 --> 0:15:29.400
<v Speaker 1>And we're talking on a global basis, Um, Well, we

0:15:29.560 --> 0:15:32.280
<v Speaker 1>expect them to slip a little bit. We do not

0:15:32.480 --> 0:15:35.560
<v Speaker 1>expect any kind of collapse in the market, but we

0:15:35.640 --> 0:15:38.360
<v Speaker 1>do expect it to edge downward. You know, We've been

0:15:38.400 --> 0:15:41.720
<v Speaker 1>on a great run here, almost ten years of a

0:15:41.800 --> 0:15:45.280
<v Speaker 1>year over year increases, and you know it's the market's

0:15:45.320 --> 0:15:49.040
<v Speaker 1>kind of peaked. We expect sales for in the US

0:15:49.120 --> 0:15:53.040
<v Speaker 1>to be down two or three percent. So, Michelle, what's

0:15:53.080 --> 0:15:55.200
<v Speaker 1>the impact. I know it's probably early, but what are

0:15:55.200 --> 0:15:57.760
<v Speaker 1>you hearing from some of the manufacturers and some of

0:15:57.760 --> 0:16:00.240
<v Speaker 1>the dealers that you talk with about terror of It

0:16:00.280 --> 0:16:04.120
<v Speaker 1>seemed to be on again, off again for the automobile sector. Well, yes,

0:16:04.480 --> 0:16:07.160
<v Speaker 1>you know, I think everyone would like certainty and they

0:16:07.160 --> 0:16:10.240
<v Speaker 1>would like certainty that there there are no terroriffs. Um,

0:16:10.280 --> 0:16:13.000
<v Speaker 1>we see interesting patterns when there's a lot of talk

0:16:13.080 --> 0:16:15.160
<v Speaker 1>leading up to it, like last summer, we saw a

0:16:15.200 --> 0:16:19.080
<v Speaker 1>little bit of stockpiling of inventory, stockpiling of used cars

0:16:19.120 --> 0:16:22.920
<v Speaker 1>by dealers as they thought that tariffs would happen, and

0:16:22.920 --> 0:16:24.840
<v Speaker 1>then they didn't. And again here we are in a

0:16:24.840 --> 0:16:28.160
<v Speaker 1>waiting period for six months, and we if it really

0:16:28.200 --> 0:16:31.480
<v Speaker 1>becomes looks like they will happen, we expect we'll see

0:16:31.520 --> 0:16:34.480
<v Speaker 1>some more of that stockpiling of inventory, both new and

0:16:34.640 --> 0:16:40.360
<v Speaker 1>used vehicles going forward. So Memorial Day weekend is definitely

0:16:40.600 --> 0:16:44.000
<v Speaker 1>a big one for selling cars. And I'm just wondering

0:16:44.360 --> 0:16:47.040
<v Speaker 1>what kind of discounts you're expecting this year because this

0:16:47.080 --> 0:16:50.160
<v Speaker 1>has sort of been one big point of contention for

0:16:50.400 --> 0:16:52.760
<v Speaker 1>the big automakers. How much do you give incentives to

0:16:52.840 --> 0:16:55.760
<v Speaker 1>people to get in the door versus give up profits

0:16:56.520 --> 0:16:58.800
<v Speaker 1>and rather than just sort of sell things at full

0:16:58.800 --> 0:17:03.320
<v Speaker 1>price your right. Memorial Day weekend traditionally has been a

0:17:03.320 --> 0:17:06.119
<v Speaker 1>big sales lift weekend for automakers. We don't think it

0:17:06.119 --> 0:17:08.840
<v Speaker 1>will be as much so this year because of that

0:17:08.960 --> 0:17:12.320
<v Speaker 1>overall decline in the market and the fact that car

0:17:12.400 --> 0:17:16.040
<v Speaker 1>prices are at their highest level. UM, auto loan rates

0:17:16.040 --> 0:17:18.640
<v Speaker 1>are at a nine year high, and UM we are

0:17:18.720 --> 0:17:22.400
<v Speaker 1>not seeing a lot of uh laboring on of incentives.

0:17:22.400 --> 0:17:26.200
<v Speaker 1>They're very targeted, and automakers have been showing a lot

0:17:26.240 --> 0:17:30.720
<v Speaker 1>of restraint in terms of going for profit versus incentives.

0:17:30.720 --> 0:17:34.200
<v Speaker 1>So there aren't going to be fabulous deals out there,

0:17:34.560 --> 0:17:39.240
<v Speaker 1>uh for consumers. So we'll see how the weekend ends up. So, Michelle,

0:17:39.240 --> 0:17:41.240
<v Speaker 1>talk to us a little bit about the used car market.

0:17:41.240 --> 0:17:43.119
<v Speaker 1>I'm always surprised when I see, like you know, the

0:17:43.200 --> 0:17:46.200
<v Speaker 1>number of like sixty or six people are leaning towards

0:17:46.200 --> 0:17:48.600
<v Speaker 1>a used car versus a new car. What's the status

0:17:48.600 --> 0:17:51.520
<v Speaker 1>of that market? Well, it is an interesting market. We

0:17:51.720 --> 0:17:54.640
<v Speaker 1>focus all our energy on the new car market, which

0:17:54.680 --> 0:17:58.680
<v Speaker 1>is about seventeen million sales a year. Typically used car

0:17:58.720 --> 0:18:01.919
<v Speaker 1>sales are almost four million every year and a pretty

0:18:01.920 --> 0:18:05.159
<v Speaker 1>consistent UM. There's a lot of interest in used cars

0:18:05.200 --> 0:18:07.640
<v Speaker 1>for some of the reasons I mentioned before. New car

0:18:07.720 --> 0:18:11.520
<v Speaker 1>prices are at record highs uh and there are a

0:18:11.600 --> 0:18:16.040
<v Speaker 1>huge number of fabulous used cars because we had record leasing,

0:18:16.240 --> 0:18:18.679
<v Speaker 1>those cars are coming back onto the used car market,

0:18:19.080 --> 0:18:22.000
<v Speaker 1>and there's a richer mix of the kinds of vehicles,

0:18:22.040 --> 0:18:24.399
<v Speaker 1>so there's not only cars which used to be the

0:18:24.440 --> 0:18:27.560
<v Speaker 1>only thing that was leased released and then UH sport

0:18:27.640 --> 0:18:30.560
<v Speaker 1>utili vehicles which are really in favor with consumers and

0:18:30.560 --> 0:18:34.240
<v Speaker 1>and a hugely discounted prices because they're three years old.

0:18:34.560 --> 0:18:36.480
<v Speaker 1>That's what I was going to ask, is the used

0:18:36.480 --> 0:18:38.720
<v Speaker 1>car values. I know this was something that was really

0:18:39.080 --> 0:18:42.680
<v Speaker 1>UH sinking Hurts and Avis a couple of years ago

0:18:42.760 --> 0:18:45.119
<v Speaker 1>because of the glut of leasing and then the cars

0:18:45.160 --> 0:18:47.880
<v Speaker 1>that went into the used car market. I'm just wondering

0:18:48.080 --> 0:18:50.480
<v Speaker 1>whether we've seen a real firming up there of those

0:18:50.520 --> 0:18:54.760
<v Speaker 1>resale values. Yes, we have and UH and interestingly, you know,

0:18:54.840 --> 0:18:56.920
<v Speaker 1>cars are kind of about a favor on the new

0:18:56.920 --> 0:18:59.560
<v Speaker 1>car side, uh, and so we've seen a lot of

0:18:59.560 --> 0:19:02.040
<v Speaker 1>discount there, but if you look at the used car side,

0:19:02.040 --> 0:19:06.479
<v Speaker 1>there's that used car prices I've actually risen higher because

0:19:06.480 --> 0:19:08.760
<v Speaker 1>there's such high demand. And of course some of the

0:19:08.760 --> 0:19:11.359
<v Speaker 1>automakers have gotten out of the traditional car business and

0:19:11.440 --> 0:19:16.040
<v Speaker 1>so there's uh, there's less availability there, so tremendous interest

0:19:16.080 --> 0:19:19.959
<v Speaker 1>and use cars and that keeps prices strong. So, Michelle,

0:19:19.960 --> 0:19:22.440
<v Speaker 1>you mentioned that the you know, the market has really moved,

0:19:22.480 --> 0:19:24.600
<v Speaker 1>certainly in the US and new car markets and trucks

0:19:24.640 --> 0:19:27.760
<v Speaker 1>and SUVs, and UM, it give us a sense of

0:19:27.880 --> 0:19:32.679
<v Speaker 1>how sensitive those sales are too. Changes in gasoline prices

0:19:32.680 --> 0:19:35.200
<v Speaker 1>were just noting earlier today that oil is down about

0:19:35.240 --> 0:19:38.200
<v Speaker 1>five percent today, So it's kind of fluctuating. But boy,

0:19:38.200 --> 0:19:41.400
<v Speaker 1>it just seems like the U s consumers trucks and SUVs.

0:19:41.400 --> 0:19:44.280
<v Speaker 1>But that's not just the US. Globally, the shift is

0:19:44.320 --> 0:19:47.640
<v Speaker 1>more towards sport utility vehicles. That's true in China, that's

0:19:47.640 --> 0:19:51.280
<v Speaker 1>true true in uh Europe as well. UM. I think

0:19:51.600 --> 0:19:54.280
<v Speaker 1>the automakers don't get enough credit that they have done

0:19:54.320 --> 0:19:59.280
<v Speaker 1>an amazing job of improving fuel economy of sport utility vehicles.

0:19:59.320 --> 0:20:02.000
<v Speaker 1>It used to be that was the reason people didn't

0:20:02.000 --> 0:20:04.800
<v Speaker 1>buy them. That's kind of gone away. There's there's not

0:20:04.960 --> 0:20:10.000
<v Speaker 1>this huge penalty for in terms of fuel price at

0:20:10.000 --> 0:20:13.080
<v Speaker 1>fuel efficiency, and yet there's a ton of other advantage

0:20:13.080 --> 0:20:19.760
<v Speaker 1>of you know, various combinations of passengers and cargo and

0:20:19.800 --> 0:20:22.840
<v Speaker 1>that higher seating position, which is what everybody likes because

0:20:22.840 --> 0:20:26.080
<v Speaker 1>they feel safer, they can see better, So it offsets

0:20:26.119 --> 0:20:29.239
<v Speaker 1>the advantages understood. Michelle Krebs, thanks so much for joining us.

0:20:29.240 --> 0:20:47.560
<v Speaker 1>Michelle's executive analyst at auto trader dot com based in Detroit. Well,

0:20:47.600 --> 0:20:50.439
<v Speaker 1>the FED seemingly has navigated the US economy to what

0:20:50.560 --> 0:20:54.040
<v Speaker 1>can be described as perhaps a soft landing with modest

0:20:54.280 --> 0:20:57.160
<v Speaker 1>economic growth and limited inflation. To get some insight as

0:20:57.160 --> 0:21:00.000
<v Speaker 1>to the FEDS thinking, returned to Danielle di Martino Booth.

0:21:00.320 --> 0:21:03.920
<v Speaker 1>Danielle CEO and director of Intelligence for Quill Intelligence. She's

0:21:03.960 --> 0:21:06.679
<v Speaker 1>also a former advisor that Dallas Fed to Reserve, and

0:21:06.720 --> 0:21:09.520
<v Speaker 1>she's a Bloomberg opinion columnist. Danielle, thanks so much for

0:21:09.680 --> 0:21:13.879
<v Speaker 1>being with us. What is your sense of what you

0:21:13.920 --> 0:21:16.080
<v Speaker 1>think the FED will do next? I'm looking at the

0:21:16.280 --> 0:21:18.520
<v Speaker 1>w I RP function and we just chatted about briefly

0:21:18.680 --> 0:21:22.400
<v Speaker 1>before again a seventy nine, a chance for a rate

0:21:22.600 --> 0:21:24.359
<v Speaker 1>rate cut by the end of the year. Do you

0:21:24.480 --> 0:21:27.000
<v Speaker 1>agree with that, Well, it doesn't really matter if I

0:21:27.040 --> 0:21:29.600
<v Speaker 1>agree with it. What matters is FED history, and FED

0:21:29.640 --> 0:21:32.560
<v Speaker 1>history tells us really anytime you get over the line,

0:21:33.000 --> 0:21:35.760
<v Speaker 1>they really start talking about whatever direction it's going to be,

0:21:35.760 --> 0:21:38.520
<v Speaker 1>whether it's it's going to be easy or tightening. Once

0:21:38.600 --> 0:21:42.439
<v Speaker 1>you get past sixty probability, it's kind of in the bag.

0:21:42.840 --> 0:21:46.119
<v Speaker 1>So I would be surprised if between here and blackout,

0:21:46.240 --> 0:21:49.320
<v Speaker 1>before the June fo MC, we didn't start to see

0:21:49.880 --> 0:21:52.399
<v Speaker 1>a little bit more descent in terms of FED speak,

0:21:52.480 --> 0:21:57.080
<v Speaker 1>because they have been so consistent across the entire committee

0:21:57.080 --> 0:22:00.520
<v Speaker 1>they've had. They've all been towing the Clarita line about

0:22:01.040 --> 0:22:03.639
<v Speaker 1>we're gonna let inflation run too hot. Right now, the

0:22:03.680 --> 0:22:06.520
<v Speaker 1>market is telling us that there's there's nothing hot about it.

0:22:07.119 --> 0:22:10.240
<v Speaker 1>Inflation needs a pachmina. It's running so cold, and it's

0:22:10.400 --> 0:22:12.520
<v Speaker 1>looking more and more like and I think the bond

0:22:12.560 --> 0:22:14.840
<v Speaker 1>market is telling us break evens are telling us that

0:22:15.000 --> 0:22:17.679
<v Speaker 1>this is not transient and that the core PC is

0:22:17.680 --> 0:22:20.359
<v Speaker 1>going to be pulled down further. So let's dig into

0:22:20.400 --> 0:22:23.200
<v Speaker 1>that issue. Because according to the minutes that came out

0:22:23.320 --> 0:22:26.680
<v Speaker 1>yesterday of the last for MC meeting. It does seem

0:22:26.760 --> 0:22:30.720
<v Speaker 1>like members do believe that this is a transient sort

0:22:30.720 --> 0:22:35.800
<v Speaker 1>of dipping inflation in a weakening Why does the market disagree. Well,

0:22:35.800 --> 0:22:39.280
<v Speaker 1>it's interesting because not all participants on the Federal Open

0:22:39.320 --> 0:22:43.199
<v Speaker 1>Market Committee agree. There was there's some fine print in

0:22:43.200 --> 0:22:46.879
<v Speaker 1>the minutes yesterday that said several participants were concerned that

0:22:47.119 --> 0:22:49.879
<v Speaker 1>inflation was not transitory, and then in fact CORPC was

0:22:50.000 --> 0:22:53.920
<v Speaker 1>going to be pulled lower. But decoding FETE speak, participants

0:22:53.960 --> 0:22:58.840
<v Speaker 1>mean non voting federals or of district presidents. So again,

0:22:59.000 --> 0:23:03.840
<v Speaker 1>I think that the Fed wants for inflation to be transitory,

0:23:03.960 --> 0:23:06.439
<v Speaker 1>but wanting and getting are two different things. When you

0:23:06.480 --> 0:23:09.960
<v Speaker 1>start to see things like this morning's market composite data,

0:23:10.200 --> 0:23:13.399
<v Speaker 1>it's a composite. It's at fifty point nine new orders

0:23:13.440 --> 0:23:16.680
<v Speaker 1>in the manufacturing went negative for the first time. I mean,

0:23:16.680 --> 0:23:18.600
<v Speaker 1>that's about the clearest signal you can get. We'll see

0:23:18.600 --> 0:23:21.800
<v Speaker 1>if it's validated when the m numbers hit um. But

0:23:21.880 --> 0:23:24.840
<v Speaker 1>if you start to see bleeding from this kind of

0:23:25.000 --> 0:23:28.119
<v Speaker 1>isolated weakness that we've had in the factory sector sector

0:23:28.320 --> 0:23:32.439
<v Speaker 1>into services, you will have a downward poll on that

0:23:32.520 --> 0:23:35.480
<v Speaker 1>core PC. Let's talk about I want to talk about

0:23:35.520 --> 0:23:37.399
<v Speaker 1>one of your colums that you wrote just recently about

0:23:37.400 --> 0:23:40.000
<v Speaker 1>the consumers, because the consumers such an obviously a big

0:23:40.000 --> 0:23:43.280
<v Speaker 1>part of the economy, a big part of the growth story, um,

0:23:43.320 --> 0:23:47.040
<v Speaker 1>but you arguing that perhaps the consumer isn't as strong

0:23:47.080 --> 0:23:49.400
<v Speaker 1>as maybe we're led to believe. What are your thoughts

0:23:49.400 --> 0:23:51.440
<v Speaker 1>on that? Well, I think what you need to do

0:23:51.600 --> 0:23:53.679
<v Speaker 1>is to look at the composition of jobs that have

0:23:53.760 --> 0:23:59.400
<v Speaker 1>been created so last October, for example, the vast preponderance

0:23:59.440 --> 0:24:02.800
<v Speaker 1>of jobs that we're in high paying industries, and by

0:24:02.880 --> 0:24:05.040
<v Speaker 1>time we rolled around to the April data, you know,

0:24:05.080 --> 0:24:08.080
<v Speaker 1>we're seeing sixty pc of the jobs being created in

0:24:08.160 --> 0:24:12.040
<v Speaker 1>low paying industries. So it's not going to show up

0:24:12.200 --> 0:24:16.680
<v Speaker 1>yet in something like initial jobless claims. Employers have worked

0:24:16.800 --> 0:24:21.200
<v Speaker 1>so hard to source skilled workers that they're holding onto

0:24:21.200 --> 0:24:23.240
<v Speaker 1>them for dear life. But we're seeing weakness in the

0:24:23.320 --> 0:24:26.160
<v Speaker 1>number of hours that are worked. We're seeing a weakening

0:24:26.160 --> 0:24:30.439
<v Speaker 1>trend and temporary employment. And again, wage inflation has started

0:24:30.480 --> 0:24:33.080
<v Speaker 1>to come back in. As opposed to what most economists

0:24:33.080 --> 0:24:36.439
<v Speaker 1>were predicting, say six months ago, that we were finally

0:24:36.440 --> 0:24:39.520
<v Speaker 1>seeing traction and wage inflation. That is not the case.

0:24:39.960 --> 0:24:43.240
<v Speaker 1>But couldn't you argue, if you look at the consumers balance,

0:24:43.320 --> 0:24:46.600
<v Speaker 1>she looks pretty good. Interest payments are still fairly low.

0:24:47.000 --> 0:24:50.520
<v Speaker 1>The actual amount of debt relative to GDP hasn't climbed

0:24:50.520 --> 0:24:53.320
<v Speaker 1>that much. When you talk about the consumer, this isn't

0:24:53.320 --> 0:24:55.800
<v Speaker 1>a bad picture. And yes, we have seen dilinguacies take

0:24:55.880 --> 0:24:58.119
<v Speaker 1>up with credit card and auto loans, but not necessarily

0:24:58.160 --> 0:25:00.000
<v Speaker 1>to the extent where you start to get really concerned

0:25:00.080 --> 0:25:02.760
<v Speaker 1>about something. Couldn't you say this has been a very

0:25:02.880 --> 0:25:06.440
<v Speaker 1>unusual economic cycle, but one that is actually allowed things

0:25:06.560 --> 0:25:10.480
<v Speaker 1>to grow and to possibly soften at a slow and

0:25:10.560 --> 0:25:14.879
<v Speaker 1>steady pace. That's kind of healthy. It has been. But

0:25:15.560 --> 0:25:18.880
<v Speaker 1>I tend to think about the delta and the rate

0:25:18.960 --> 0:25:25.040
<v Speaker 1>at which servicing household credit has come up is extremely problematic.

0:25:25.040 --> 0:25:27.439
<v Speaker 1>Deutsche Banks done some good work on this, Torsten slock

0:25:28.000 --> 0:25:32.120
<v Speaker 1>And and right now you're getting to where households are

0:25:32.160 --> 0:25:35.680
<v Speaker 1>spending so much more of their income to service their debt,

0:25:36.280 --> 0:25:40.000
<v Speaker 1>and that's coming so quickly that that is becoming It's

0:25:40.000 --> 0:25:43.080
<v Speaker 1>not the absolute level of household debt, it's it's it's

0:25:43.280 --> 0:25:46.000
<v Speaker 1>it's the rate of which the increases is happening. I

0:25:46.040 --> 0:25:48.120
<v Speaker 1>have to wonder, though, how much is this an income

0:25:48.200 --> 0:25:51.600
<v Speaker 1>inequality story? Because how much is this uh the very

0:25:51.640 --> 0:25:54.480
<v Speaker 1>low end incurring debt and then sort of trying to

0:25:54.560 --> 0:25:58.720
<v Speaker 1>cycle and make payments versus an average story, a story

0:25:58.720 --> 0:26:02.080
<v Speaker 1>of averages. Well, you know, that's a good point, but

0:26:02.160 --> 0:26:05.800
<v Speaker 1>I would I would go back to a the the

0:26:05.840 --> 0:26:09.800
<v Speaker 1>economy that we have today, um and that in many ways.

0:26:10.000 --> 0:26:11.960
<v Speaker 1>Moodies did an interesting study at the end of last

0:26:12.040 --> 0:26:15.160
<v Speaker 1>year that said initial jobless claims are understated by about

0:26:16.520 --> 0:26:18.880
<v Speaker 1>because we have so many people who were self employed,

0:26:18.960 --> 0:26:21.480
<v Speaker 1>We have so many people who who drive for a living,

0:26:22.200 --> 0:26:27.160
<v Speaker 1>that particular area the self employed is getting crushed right now.

0:26:27.680 --> 0:26:30.280
<v Speaker 1>But if you work for yourself a, you're not gonna

0:26:30.359 --> 0:26:32.560
<v Speaker 1>put an ad out to hire yourself and be you're

0:26:32.560 --> 0:26:36.280
<v Speaker 1>not going to file unemployment insurance against yourself. So there's

0:26:36.320 --> 0:26:38.639
<v Speaker 1>an element I think that's not being picked up in

0:26:38.680 --> 0:26:42.000
<v Speaker 1>the averages right now that's harder to see, harder to discern.

0:26:42.400 --> 0:26:44.760
<v Speaker 1>And you put on top of that the tax season

0:26:44.800 --> 0:26:47.359
<v Speaker 1>that we've just come through and the fact that I

0:26:47.359 --> 0:26:51.520
<v Speaker 1>think a lot of middle income American families ended up

0:26:51.800 --> 0:26:54.240
<v Speaker 1>not getting a refund but actually having to pay taxes

0:26:54.720 --> 0:26:57.240
<v Speaker 1>that was unexpected as well. We've seen what a court

0:26:57.240 --> 0:27:00.160
<v Speaker 1>of American families are not have have decided against taking

0:27:00.160 --> 0:27:04.560
<v Speaker 1>a vacation this summer. Those types of anecdotes will show

0:27:04.640 --> 0:27:06.520
<v Speaker 1>up in the data. I mean, you're not canceling the

0:27:06.560 --> 0:27:09.919
<v Speaker 1>trip to Disney for no reason unless the taxes you

0:27:10.000 --> 0:27:13.359
<v Speaker 1>paid that you weren't expecting to pay were in fact

0:27:13.440 --> 0:27:17.280
<v Speaker 1>your vacation fund. Daniel, we're seeing wage inflation over the

0:27:17.359 --> 0:27:19.399
<v Speaker 1>last couple of reports of you know, low three percent

0:27:19.560 --> 0:27:22.800
<v Speaker 1>kind of range. To me, that seems low given where

0:27:22.840 --> 0:27:25.639
<v Speaker 1>I think we're really full of employment. What do you

0:27:25.640 --> 0:27:29.399
<v Speaker 1>think I think wage inflation should be much hotter than

0:27:29.600 --> 0:27:33.320
<v Speaker 1>what it is. Uh. And in fact, we've seen average

0:27:33.320 --> 0:27:36.320
<v Speaker 1>weekly earnings. I prefer to steer clear of average hourly

0:27:36.320 --> 0:27:38.639
<v Speaker 1>earnings because I don't take home and hours pay. I

0:27:38.920 --> 0:27:42.080
<v Speaker 1>take them a paycheck which I earn over a weekly period.

0:27:42.400 --> 0:27:47.360
<v Speaker 1>That particular number, again, since October, has shown serious deterioration

0:27:47.400 --> 0:27:51.639
<v Speaker 1>and weakening. So thank you so much for being here. Honestly,

0:27:51.680 --> 0:27:53.879
<v Speaker 1>you raised really good points, and especially right now as

0:27:53.920 --> 0:27:56.280
<v Speaker 1>we look at the market activity with a nearly eight

0:27:56.760 --> 0:27:58.919
<v Speaker 1>chance of a rate cut being priced into markets, a

0:27:59.000 --> 0:28:02.600
<v Speaker 1>real disagreement right now between markets and FED participants. Where

0:28:02.600 --> 0:28:05.959
<v Speaker 1>you've got fed saying you know what, inflation is just

0:28:06.160 --> 0:28:09.520
<v Speaker 1>simply cooling off as a temporary factor. The market saying

0:28:10.320 --> 0:28:13.760
<v Speaker 1>we're not buying it. Danielle di Martino Booth. She, of course,

0:28:13.840 --> 0:28:16.720
<v Speaker 1>is a Bloomberg opinion columnist. She's chief executive officer of

0:28:16.800 --> 0:28:20.719
<v Speaker 1>Quill Intelligence, former advisor to the Dallas Fed. Joining us

0:28:20.720 --> 0:28:24.640
<v Speaker 1>here in our Bloomberg Interactive Broker's Studios. Thanks for listening

0:28:24.680 --> 0:28:27.080
<v Speaker 1>to the Bloomberg P and L podcast. You can subscribe

0:28:27.080 --> 0:28:29.920
<v Speaker 1>and listen to interviews at Apple Podcasts or whatever podcast

0:28:29.920 --> 0:28:33.480
<v Speaker 1>platform you prefer. Paul Sweeney, I'm on Twitter at pt Sweeney.

0:28:33.520 --> 0:28:36.040
<v Speaker 1>I'm Lisa abram Woit's I'm on Twitter at Lisa abram

0:28:36.040 --> 0:28:38.640
<v Speaker 1>woits one before the podcast. You can always catch us

0:28:38.720 --> 0:28:40.280
<v Speaker 1>worldwide on Bloomberg Radio.