WEBVTT - Apple, Google Lose Multibillion Dollar Court Fights With EU

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg business Week inside from the reporters and

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<v Speaker 2>editors who bring you America's most trusted business magazine, plus

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<v Speaker 2>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 3>Apple lost its court fight over a fourteen point four

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<v Speaker 3>billion dollar Irish tax bill. Google lost its challenge over

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<v Speaker 3>a two point six billion dollar fine for abusing its

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<v Speaker 3>market power. It's a double boost to the EU's crackdown

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<v Speaker 3>on big tech. The use Court of Justice in Luxembourg

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<v Speaker 3>back day landmark twenty sixteen decision that Ireland broke state

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<v Speaker 3>aid law by giving Apple an unfair advantage. The same

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<v Speaker 3>court ruling that Google illegally leveraged the search engine dominance

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<v Speaker 3>to give a higher ranking to its own product listings.

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<v Speaker 3>Ed Loldos, Co, host of Bloomberg Technology on Bloomberg TV.

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<v Speaker 3>He's got an EU law degree, so he's the perfect

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<v Speaker 3>guy lawyer. He's the perfect guy to talk to about this.

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<v Speaker 3>He joins us from our San Francisco bureau. Okay, ed

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<v Speaker 3>fourteen point four billion dollars, it's more money than two

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<v Speaker 3>point six billion dollars. But if we read between the

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<v Speaker 3>lines here, which of these is a bigger impact for

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<v Speaker 3>the respective company?

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<v Speaker 4>You know, joining you guys to talk about how shiny

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<v Speaker 4>the new iPhone is is a lot.

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<v Speaker 5>Easier than this.

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<v Speaker 3>But let's get we'll get there, don't right.

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<v Speaker 5>Look.

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<v Speaker 4>In twenty sixteen, a European court ruled that basically Ireland

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<v Speaker 4>as a country but a member state of the European Union,

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<v Speaker 4>has given Apple preferential tax incentives that were illegal under

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<v Speaker 4>EU law, and Margaret to Vesta, the competition chief, in

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<v Speaker 4>sort of landing this decision today, has come out on

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<v Speaker 4>the right side of an argument she's made for a

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<v Speaker 4>long time, which is that any member state of the

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<v Speaker 4>EU cannot have an ad hoc beneficial preferential tax arrangement.

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<v Speaker 3>Where the country.

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<v Speaker 4>What we're talking about is like where a country says

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<v Speaker 4>to a tech company, come build with us, invest here,

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<v Speaker 4>build offices, bring people, and in return you get these things.

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<v Speaker 4>But the things you get a difference to what everyone

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<v Speaker 4>else gets, and so the money is eyewatering. But just

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<v Speaker 4>really simply it's been sat in an escro account gathering

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<v Speaker 4>interests since that initial twenty sixteen decision. All that happened

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<v Speaker 4>was Apple had a right of appeal under EU law,

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<v Speaker 4>which ultimately today they have lost.

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<v Speaker 6>Wow. So I mean this is interesting. Of course, this

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<v Speaker 6>tax case.

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<v Speaker 1>There's also a lot of US anti trust news that's

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<v Speaker 1>going on, especially when it comes to Alphabet, the Google.

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<v Speaker 6>Ad Empire, etc.

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<v Speaker 1>But with all of these things, I always wonder how

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<v Speaker 1>much does it actually matter for the company? I know

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<v Speaker 1>the tim you were getting out that a little bit,

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<v Speaker 1>But we talk about these fines for these companies that

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<v Speaker 1>have more money than a lot of countries proper, and

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<v Speaker 1>then these antitrust trials which just take years and years

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<v Speaker 1>to play out. I mean, do investors really care about this?

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<v Speaker 4>I've always found it difficult to track the performance of

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<v Speaker 4>the stock of a megacap tech company against the headline

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<v Speaker 4>about market competition or anti trust. You know, it's always

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<v Speaker 4>been difficult to tell how sanguine or concerned investors are

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<v Speaker 4>that a real anti trust action will result in a

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<v Speaker 4>material impact to that business. Just today, Da Davidson, I

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<v Speaker 4>think put out or initiated coverage actually on Alphabet, the

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<v Speaker 4>parent of Google, with a neutral recommendation, and a big

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<v Speaker 4>part of that was we feel that anti trust is

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<v Speaker 4>a headwind to the core search business, so you've always

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<v Speaker 4>got to take it into account. And I think you

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<v Speaker 4>guys have had great conversations with Jenry of Bloomberg Intelligence

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<v Speaker 4>that in each jurisdiction, what we're increasingly seeing is not

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<v Speaker 4>just the action of a fine. So in this case

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<v Speaker 4>in Google today, they had to pay a fine, which

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<v Speaker 4>to them is small amount of money in the grand

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<v Speaker 4>scheme of things, But it's whether or not a regulator

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<v Speaker 4>requires them to make a fundamental change to their business

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<v Speaker 4>practice and therefore whether it will change the fate of

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<v Speaker 4>whatever that business is.

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<v Speaker 3>That's why it seems to me ed if we read

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<v Speaker 3>between the lines, the case about Google, which has a

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<v Speaker 3>smaller fine than you know, how much Apple has to pay,

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<v Speaker 3>is a bigger deal because yeah, okay, it means Apple's

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<v Speaker 3>got to pay more taxes. But for Google this could

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<v Speaker 3>be like a fundamental threat to the way it does

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<v Speaker 3>business at least with this product. Right.

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<v Speaker 4>Well, I'd make one distinction, which is that mechanically Apple

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<v Speaker 4>is paying back taxes or it's paying taxes that it

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<v Speaker 4>didn't pay in the first place, whereas this is an

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<v Speaker 4>actual fine. And one interesting distinction I guess under EU

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<v Speaker 4>law is that when an action is brought by the

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<v Speaker 4>Commission and a fine is issued and then paid. Often

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<v Speaker 4>it goes into a pot of money that's then redistributed

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<v Speaker 4>across the European Union member states based on complex formulas.

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<v Speaker 4>So you know, they're both slaps on the wrist. But

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<v Speaker 4>you know, again, the biggest question that the street and

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<v Speaker 4>markets are going to have for Google is EU a

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<v Speaker 4>regulator on behalf of four hundred and forty million people,

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<v Speaker 4>So an important market for Google going to require them

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<v Speaker 4>to change the practices that they currently use. And I

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<v Speaker 4>don't know that we quite have the answer on many

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<v Speaker 4>facets of Google's business, which you guys will know will

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<v Speaker 4>also now include AI. Because regulators are looking closely at

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<v Speaker 4>the investments made by a number of tech companies in

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<v Speaker 4>other AI companies.

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<v Speaker 1>I would imagine that they are, well, let's tie this

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<v Speaker 1>back to Apple, and let's tie this back to Yaeshuro,

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<v Speaker 1>so we can pivot to talking about how shiny the

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<v Speaker 1>iPhones are. Because of course Apple knew that this was

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<v Speaker 1>a company happening. They also knew that there was a

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<v Speaker 1>presidential debate happening tonight, and that's probably the reason why,

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<v Speaker 1>of course we had the event. The big iPhone splash

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<v Speaker 1>happened yesterday, ed.

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<v Speaker 4>It's likely. I mean Bloomberg's reporting was originally that Glow

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<v Speaker 4>time the Apple event would be today the tenth, And

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<v Speaker 4>when I got the invite from Apple to my inbox,

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<v Speaker 4>it was the ninth. And you know, I think sources

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<v Speaker 4>had told us that that was the consideration that you

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<v Speaker 4>have the presidential debate. And now we know that the

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<v Speaker 4>EU Tribunal was issuing this decision today and that's now

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<v Speaker 4>been gone. I just add finally, it's kind of unusual

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<v Speaker 4>unusual for Apple to do an event on a Monday,

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<v Speaker 4>but they did. And you know, I don't know what

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<v Speaker 4>you guys would say. You Katie has got what a

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<v Speaker 4>six or seven generations old phone? You know, she is

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<v Speaker 4>the case study here of what happens next. Does Katie

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<v Speaker 4>Greifeld now go up and upgrade her iPhone? That question

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<v Speaker 4>is being asked world over.

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<v Speaker 3>It seems like Katie's note interested in the AI stuff.

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<v Speaker 3>You just want to know what's best for posting to Twitter?

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<v Speaker 6>Yeah, pretty much.

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<v Speaker 1>I want to be able to tweet. If I could

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<v Speaker 1>actually think and it tweeted for me, that would be great.

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<v Speaker 3>You just need a posting phone.

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<v Speaker 1>Yeah, exactly, I will say I'm not going to buy

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<v Speaker 1>an Android, though I will eventually get a new iPhone.

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<v Speaker 1>So that network effect that we were talking about with

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<v Speaker 1>Mark Erman.

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<v Speaker 3>It's real, Yeah, no question, it's real. I think. Also

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<v Speaker 3>one thing that I want to go back to ed

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<v Speaker 3>that she saw close up and for stand yesterday is

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<v Speaker 3>apples dive into health. And the company for years has

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<v Speaker 3>been making its pitch to consumers that it is a safe,

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<v Speaker 3>it's safe with your data, that your data remains private

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<v Speaker 3>on the iPhone, and for years has been going further

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<v Speaker 3>and further into health. Talk to us a little bit

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<v Speaker 3>about what Apple could do to disrupt the healthcare space.

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<v Speaker 3>I mean, this has like a been more than a

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<v Speaker 3>decade long promise.

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<v Speaker 5>Yeah.

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<v Speaker 4>I mean the two technology updates are sleep apnea through

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<v Speaker 4>the Apple Watch, which starts with series ten but is

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<v Speaker 4>not exclusive to it, and hearing aid technology through AirPods.

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<v Speaker 4>Both of them are pending FDA approval, but I mean

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<v Speaker 4>Apple in a presentation publicly said the FDA approvals close,

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<v Speaker 4>and you would wager that they wouldn't say that were

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<v Speaker 4>they not confident. And it's interesting because like sleep apnea,

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<v Speaker 4>this is something that of course most Mark German had reported,

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<v Speaker 4>but it's kind of logical with the watch. The more

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<v Speaker 4>interesting one is probably the hearing aid technology. I don't

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<v Speaker 4>know if you guys kind of track the markets, but

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<v Speaker 4>some hearing aid stocks fell because they take the competition

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<v Speaker 4>from Apples seriously.

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<v Speaker 3>Though the.

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<v Speaker 4>Mechanism, the modus operandi through airports is very different to

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<v Speaker 4>a discrete hearing aid, and the story that Apple's trying

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<v Speaker 4>to tell is holistic. Like you point out, Tim, we're

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<v Speaker 4>super good with privacy and data, but we're also about like,

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<v Speaker 4>you're going to use this anyway, so use it for

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<v Speaker 4>something that's beneficial to you.

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<v Speaker 6>Yeah, that's interesting.

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<v Speaker 1>Of course, we were talking about that and talking about

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<v Speaker 1>the notion of people just keeping it in and talking

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<v Speaker 1>to you, so we'll see to your point ed. I mean,

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<v Speaker 1>it's a good one that other companies, investors in other

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<v Speaker 1>companies are taking the threat seriously when it comes to

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<v Speaker 1>sort of the ambitions there when it comes to hearing aids.

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<v Speaker 6>Talk to us about the watches too.

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<v Speaker 1>I mean, I care about the watches, not because I'm

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<v Speaker 1>ever going to switch from a garment. But we did

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<v Speaker 1>get some details on what the next iteration of watches.

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<v Speaker 1>They're what the next evolution in the watch story might

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<v Speaker 1>look like.

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<v Speaker 4>Yeah, it's always interesting, like twenty four hours after the

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<v Speaker 4>fact of what people are talking about and I see

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<v Speaker 4>on social media, even from Mark German to sort of

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<v Speaker 4>rethink on the watches. They're a really important part of

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<v Speaker 4>Apple's strategy, right because you're not necessarily going to spend

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<v Speaker 4>one thousand dollars on a phone. You might find, you know,

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<v Speaker 4>four hundred dollars more palatable on a smart watch that

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<v Speaker 4>has fitness, sport, water sport and health data for you.

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<v Speaker 4>But it also goes to the other thing that we're

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<v Speaker 4>kind of joking about yesterday. But it's seriously important in

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<v Speaker 4>markets like China that the Apple Watch hasn't had a

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<v Speaker 4>refresh since twenty twenty two, really, and it's aspirational to

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<v Speaker 4>have an Apple product. And in the case of the

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<v Speaker 4>watches like a piece of jewelry, you know, and they

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<v Speaker 4>really emphasize the materials. You can get yourself an Ermez

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<v Speaker 4>wrist strap, but that is actually, you know, of substance

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<v Speaker 4>to a lot of buyers in a lot of different markets.

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<v Speaker 3>And it's core to the DNA of the watch. Remember

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<v Speaker 3>that first generation Apple Watch at it was about a

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<v Speaker 3>decade ago. There was like that fourteen thousand dollars gold version.

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<v Speaker 4>Right, It's like, essentially, yeah, you're talking from experience. That's

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<v Speaker 4>not something that adorned my risk.

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<v Speaker 3>Yeah didn't say though. It didn't adorn myris either. But

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<v Speaker 3>my first thought when that came out was like, this

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<v Speaker 3>thing is going to be obsolete in a year. I

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<v Speaker 3>can't believe anyone would buy such a thing.

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<v Speaker 4>One thing I'm going to look into though, that I

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<v Speaker 4>find really interesting is when the smartphone comes out, everyone goes, oh, well,

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<v Speaker 4>I'm on T Mobile, I'm on Verizon, and they'll give

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<v Speaker 4>me a deal and I'll upgrade or I won't. But remember,

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<v Speaker 4>in the United States in particular, there are lots of

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<v Speaker 4>health insurers that will subsidize you buying a piece of

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<v Speaker 4>health or fitness equipment. And I'm really interested to see

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<v Speaker 4>how that works this time around. You know, people are

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<v Speaker 4>basically post pandemic, so concerned with data about their wellbeing,

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<v Speaker 4>and you do wonder if that's going to be a

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<v Speaker 4>big driver an upgrade cycle on the wearable side.

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<v Speaker 3>Hey, before we let you go, just in the last

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<v Speaker 3>forty seconds we have with you, Now that we are

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<v Speaker 3>twenty four hours out from that event, what are the

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<v Speaker 3>analysts saying what are their notes saying in general.

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<v Speaker 4>Everyone is so bullish and really guys probably get Dana

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<v Speaker 4>ives emails and you're in books from web Bush. The

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<v Speaker 4>supercycle's coming if you believe the cell side. And I

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<v Speaker 4>think part of that is irrespective of whether Apple Intelligence

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<v Speaker 4>is here now, it will come eventually, So buy yourself

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<v Speaker 4>a new handset in the anticipation it will come.

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<v Speaker 3>D Lovelove, co host of Bloomberg Technology on Bloomberg TV,

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<v Speaker 3>also has a degree in European Union law, so the

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<v Speaker 3>perfect guy to talk to for everything tech and of

0:11:18.960 --> 0:11:22.800
<v Speaker 3>course antitrust in regulatory from the EU as well. He

0:11:22.880 --> 0:11:24.800
<v Speaker 3>joins us from our San Francisco bureau.

0:11:25.760 --> 0:11:29.640
<v Speaker 2>This is Bloomberg Business Week with Carol Messer and Tim

0:11:29.679 --> 0:11:32.680
<v Speaker 2>Stenebeck on Bloomberg Radio and Television.

0:11:34.440 --> 0:11:36.560
<v Speaker 3>It is Bloomberg Business Week. That's Katie Greifeld in for

0:11:36.600 --> 0:11:39.880
<v Speaker 3>Carol Masser this afternoon. I'm Tim Stenebek, Katie. When we

0:11:39.880 --> 0:11:44.200
<v Speaker 3>talk about recessions, yeah, we often talk about economic recessions, Okay.

0:11:44.840 --> 0:11:47.800
<v Speaker 3>The National Bureau of Economic Research defines them as quote,

0:11:48.120 --> 0:11:50.960
<v Speaker 3>a significant decline in economic activity that's spread across the

0:11:50.960 --> 0:11:54.040
<v Speaker 3>economy and lasts more than a few months. Yeah, okay,

0:11:54.160 --> 0:11:55.920
<v Speaker 3>what about a dating recession.

0:11:55.600 --> 0:11:58.200
<v Speaker 1>You know, a love recession if you will.

0:11:58.280 --> 0:12:00.240
<v Speaker 3>Well, we bring that up because then you see Afford

0:12:00.360 --> 0:12:03.240
<v Speaker 3>University study, along with recent government surveyed data, bolster the

0:12:03.240 --> 0:12:06.880
<v Speaker 3>conclusion that COVID not only sparked this economic recession, but

0:12:06.960 --> 0:12:10.280
<v Speaker 3>also a recession in American social lives and it lingers.

0:12:10.360 --> 0:12:14.080
<v Speaker 3>Years after most US adults were vaccinated for millions, dating

0:12:14.080 --> 0:12:17.559
<v Speaker 3>and other social activity never recovered, with effects that aren't

0:12:17.600 --> 0:12:20.959
<v Speaker 3>just personal and psychological, but economic and perhaps even political.

0:12:21.559 --> 0:12:24.000
<v Speaker 3>We got Ben Steverman with us. He writes for Bloomberg

0:12:24.040 --> 0:12:27.400
<v Speaker 3>Business Week all about this type of recession. He's Bloomberg

0:12:27.400 --> 0:12:29.280
<v Speaker 3>Newswalth reporter and he joins us here in the studio.

0:12:29.760 --> 0:12:33.520
<v Speaker 3>So what exactly is the definition of a dating recession.

0:12:34.400 --> 0:12:36.599
<v Speaker 7>Well, this is a term that comes out of research

0:12:37.080 --> 0:12:42.560
<v Speaker 7>from Stanford University, and it looks at informal relationships. So

0:12:43.920 --> 0:12:45.959
<v Speaker 7>you know, we have actually have pretty good data that

0:12:46.880 --> 0:12:50.240
<v Speaker 7>marriages pretty much held up during COVID. If you were

0:12:50.280 --> 0:12:54.000
<v Speaker 7>living with someone and you liked them, you tended to

0:12:54.040 --> 0:12:58.079
<v Speaker 7>survive the pandemic. But we don't have really good we

0:12:58.120 --> 0:13:00.640
<v Speaker 7>didn't have really good data on like these people, like

0:13:01.160 --> 0:13:04.440
<v Speaker 7>informal dating, so somebody maybe that's somebody you see once

0:13:04.480 --> 0:13:07.800
<v Speaker 7>a week, or these short term relationships that go on

0:13:07.880 --> 0:13:10.000
<v Speaker 7>for three months, and you know every we all know

0:13:10.160 --> 0:13:13.000
<v Speaker 7>these sort of serial daters. You jump from relationship to relationship.

0:13:14.080 --> 0:13:17.440
<v Speaker 7>This survey was conducted in twenty seventeen. Then he then

0:13:17.640 --> 0:13:20.319
<v Speaker 7>this researcher did it again in twenty twenty and twenty

0:13:20.360 --> 0:13:25.320
<v Speaker 7>twenty two, and what he found was that basically he

0:13:25.440 --> 0:13:29.040
<v Speaker 7>estimates there thirteen million more single people now than there

0:13:29.040 --> 0:13:31.760
<v Speaker 7>were before the recession. So that's like one in five

0:13:31.960 --> 0:13:35.160
<v Speaker 7>US adults who was very concentrated among young people, which

0:13:35.160 --> 0:13:39.160
<v Speaker 7>you would expect they're the people who are dating. And

0:13:39.240 --> 0:13:41.600
<v Speaker 7>so I had that piece of data from this new study.

0:13:41.600 --> 0:13:44.280
<v Speaker 7>But then I also went and analyzed the American Time

0:13:44.360 --> 0:13:48.400
<v Speaker 7>Use Survey. It's another way of getting at informal social

0:13:48.400 --> 0:13:51.000
<v Speaker 7>lives and seeing what's happened to social lives over time.

0:13:51.400 --> 0:13:55.600
<v Speaker 7>And actually what I found there was more more disturbing. Basically,

0:13:56.080 --> 0:13:58.520
<v Speaker 7>the Bureau Labor Statistics, I ask people to track their

0:13:58.600 --> 0:14:01.679
<v Speaker 7>days and what we see is that face to face

0:14:01.720 --> 0:14:06.160
<v Speaker 7>socializing has declined a lot, which is maybe not surprising

0:14:06.160 --> 0:14:08.000
<v Speaker 7>that it declined a lot during the pandemic when we

0:14:08.000 --> 0:14:10.160
<v Speaker 7>were all stuck at home. But the thing is it

0:14:10.200 --> 0:14:15.000
<v Speaker 7>hasn't recovered. So like you would expect, like the economy

0:14:15.040 --> 0:14:19.080
<v Speaker 7>has bounced back from COVID, you would expect that it's

0:14:19.120 --> 0:14:21.760
<v Speaker 7>like face to face socializing you would have as well,

0:14:21.800 --> 0:14:24.000
<v Speaker 7>But it's really kind of stuck. We're kind of stuck

0:14:24.320 --> 0:14:26.360
<v Speaker 7>basically where we were in twenty twenty one, which is

0:14:26.360 --> 0:14:29.480
<v Speaker 7>like the deadliest year of COVID. This is based on

0:14:29.520 --> 0:14:32.640
<v Speaker 7>twenty twenty three data, so let's hope things are coming

0:14:32.680 --> 0:14:36.200
<v Speaker 7>back even more this year. But what I tried to

0:14:36.240 --> 0:14:38.040
<v Speaker 7>do is then think about what is the long term

0:14:38.080 --> 0:14:41.320
<v Speaker 7>consequences for some of these some of these trends, and

0:14:42.120 --> 0:14:44.640
<v Speaker 7>maybe what are some of the psychological and even health

0:14:44.640 --> 0:14:45.680
<v Speaker 7>effects that might have.

0:14:46.040 --> 0:14:46.280
<v Speaker 4>Well.

0:14:46.320 --> 0:14:48.360
<v Speaker 1>I wonder we were talking about this a little bit

0:14:48.400 --> 0:14:50.760
<v Speaker 1>in the commercial break, how much of this is demographics,

0:14:50.760 --> 0:14:52.920
<v Speaker 1>because it seems like gen Z is dating less, they

0:14:52.960 --> 0:14:54.600
<v Speaker 1>don't go out as much. But I guess that wraps

0:14:54.600 --> 0:14:57.360
<v Speaker 1>into of course, a lot of them were really coming

0:14:57.400 --> 0:15:00.240
<v Speaker 1>into full fledged adulthood during the pandemic, so maybe those

0:15:00.240 --> 0:15:03.120
<v Speaker 1>two are impossible to separate. But talk to us about

0:15:03.160 --> 0:15:06.160
<v Speaker 1>the potential economic ramifications here.

0:15:07.440 --> 0:15:12.040
<v Speaker 7>So these informal relationships we have. I mean, obviously social

0:15:12.120 --> 0:15:15.040
<v Speaker 7>life is just important for your mental health and lots

0:15:15.040 --> 0:15:20.040
<v Speaker 7>of other things, but these informal relationships, they're they're the

0:15:20.040 --> 0:15:24.400
<v Speaker 7>first steps that you need to move in together, get married,

0:15:24.560 --> 0:15:29.120
<v Speaker 7>have kids, buy homes together. All these things are all

0:15:30.080 --> 0:15:32.000
<v Speaker 7>have been delayed over the Like if you look at

0:15:32.040 --> 0:15:35.760
<v Speaker 7>the way before the pandemic, you look at what what miles,

0:15:35.840 --> 0:15:39.120
<v Speaker 7>which milestones thirty year olds are hitting? We keep hitting

0:15:39.120 --> 0:15:43.520
<v Speaker 7>those milestones later and later in life. Yeah, of buying homes.

0:15:43.560 --> 0:15:45.680
<v Speaker 3>And the question though that I would have is and

0:15:45.680 --> 0:15:48.280
<v Speaker 3>so you can't continue, you can't measure this. Would this

0:15:48.360 --> 0:15:49.920
<v Speaker 3>have happened without the pandemic?

0:15:50.600 --> 0:15:53.480
<v Speaker 7>I think the long term trend suggests that this kind

0:15:53.520 --> 0:15:57.000
<v Speaker 7>of both the hitting the benchmarks later and just the

0:15:57.040 --> 0:15:59.480
<v Speaker 7>social decline of community to go one a social connection,

0:15:59.760 --> 0:16:02.240
<v Speaker 7>Those are long term trends that were happening before COVID,

0:16:02.560 --> 0:16:05.600
<v Speaker 7>but COVID seems to have really accelerated them. And then

0:16:05.760 --> 0:16:08.600
<v Speaker 7>you raise the question about young people and how they're different, Well,

0:16:09.080 --> 0:16:11.560
<v Speaker 7>what if you're a young person and you've never learned

0:16:11.640 --> 0:16:14.000
<v Speaker 7>that those social skills, you never learned those like the

0:16:14.400 --> 0:16:17.160
<v Speaker 7>sort of the ability to kind of break out of

0:16:17.200 --> 0:16:20.920
<v Speaker 7>your shell and put yourself in new environments, whether it

0:16:21.000 --> 0:16:24.800
<v Speaker 7>stands for or you know, I'm obsessed with nightlife. So

0:16:24.800 --> 0:16:27.440
<v Speaker 7>while I was talking about nightlife, but what if you've

0:16:27.440 --> 0:16:28.840
<v Speaker 7>never learned to do that, you don't even know what

0:16:28.840 --> 0:16:34.880
<v Speaker 7>you're missing. So I think that there is possible something

0:16:34.920 --> 0:16:39.040
<v Speaker 7>profoundly profound and shifted in our culture. And actually see

0:16:39.040 --> 0:16:42.080
<v Speaker 7>some signs. This is a little depressing, but I see

0:16:42.080 --> 0:16:44.040
<v Speaker 7>some signs of optimism in that there might be a

0:16:44.040 --> 0:16:47.120
<v Speaker 7>little bit of a backlash to that happening now. So

0:16:47.160 --> 0:16:50.360
<v Speaker 7>the other thing I see in the Time you survey

0:16:50.440 --> 0:16:54.320
<v Speaker 7>data is that people are attending and hosting social events

0:16:54.360 --> 0:16:55.200
<v Speaker 7>just a little bit more.

0:16:55.840 --> 0:16:55.960
<v Speaker 8>So.

0:16:56.040 --> 0:16:58.200
<v Speaker 7>That's the one piece of social activity that seems to

0:16:58.240 --> 0:17:00.240
<v Speaker 7>be coming back. We're still spending a lot of time

0:17:00.240 --> 0:17:02.320
<v Speaker 7>with our phones, a lot of time with computers, but

0:17:02.400 --> 0:17:05.320
<v Speaker 7>people are hosting parties and going to parties more so

0:17:05.359 --> 0:17:08.240
<v Speaker 7>it seems like we're trying and some only some people

0:17:08.280 --> 0:17:09.680
<v Speaker 7>are trying to get out there more.

0:17:09.760 --> 0:17:12.400
<v Speaker 3>It's some a good optimism too and on Ben Steverman

0:17:12.680 --> 0:17:15.680
<v Speaker 3>is a Bloomberg News wealth reporter. Check out his story.

0:17:15.840 --> 0:17:17.359
<v Speaker 3>You can read it on the Bloomberg Terminal and at

0:17:17.359 --> 0:17:20.880
<v Speaker 3>Bloomberg dot com. He writes all about this dating recession

0:17:20.960 --> 0:17:22.480
<v Speaker 3>for a Bloomberg BusinessWeek.

0:17:23.880 --> 0:17:27.440
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch US

0:17:27.440 --> 0:17:30.680
<v Speaker 2>Live weekday afternoons from two to five pm Eastern Listen

0:17:30.720 --> 0:17:33.400
<v Speaker 2>on Apple CarPlay and then Brought Auto with a Bloomberg

0:17:33.440 --> 0:17:37.040
<v Speaker 2>Business Act or watch US Live on YouTube.

0:17:37.640 --> 0:17:40.200
<v Speaker 3>A forty new set of wheels right off the lot

0:17:40.240 --> 0:17:44.200
<v Speaker 3>has become increasingly difficult in recent years. What do you

0:17:44.240 --> 0:17:46.200
<v Speaker 3>think the average new car buyer in the US paid

0:17:46.240 --> 0:17:46.600
<v Speaker 3>in July?

0:17:47.560 --> 0:17:49.119
<v Speaker 1>I have no idea, Tim, I was hoping that you

0:17:49.119 --> 0:17:49.680
<v Speaker 1>would tell me.

0:17:49.680 --> 0:17:54.240
<v Speaker 3>Close to fifty thousand dollars and dollars for a car. Yeah, yeah,

0:17:54.400 --> 0:17:57.919
<v Speaker 3>that's according to Kelly Bluebook. One painful result is that

0:17:58.040 --> 0:17:59.960
<v Speaker 3>average payments for buyers of new cars in the U

0:18:00.560 --> 0:18:02.520
<v Speaker 3>rose to seven hundred and thirty five dollars a month

0:18:02.560 --> 0:18:05.320
<v Speaker 3>in the first quarter of the year. That's according to experience.

0:18:05.720 --> 0:18:08.639
<v Speaker 3>But if you lease it, the average monthly lease payment

0:18:08.640 --> 0:18:12.200
<v Speaker 3>for new vehicles fell to five hundred and ninety five dollars.

0:18:12.280 --> 0:18:14.800
<v Speaker 3>And some evs can be had for even less, some

0:18:14.880 --> 0:18:17.800
<v Speaker 3>for a lot less. Keith laying his Bloomberg News Automotive

0:18:17.800 --> 0:18:21.040
<v Speaker 3>Regulations reporter he joins US from our Washington DC bureau.

0:18:21.320 --> 0:18:24.400
<v Speaker 3>It's almost too good to be true. Keith. The headline

0:18:24.400 --> 0:18:27.800
<v Speaker 3>on your story about a twenty dollars per month lease

0:18:28.160 --> 0:18:30.880
<v Speaker 3>for an ev we got to start there. Where did

0:18:30.880 --> 0:18:31.359
<v Speaker 3>this happen?

0:18:32.400 --> 0:18:35.960
<v Speaker 5>So that was a deal we confirmed at a dealership

0:18:36.000 --> 0:18:40.560
<v Speaker 5>in Colorado. It actually came to our attention because Chris Hilbert,

0:18:40.560 --> 0:18:44.200
<v Speaker 5>who was one of the potential car buyers I quoted

0:18:44.280 --> 0:18:47.560
<v Speaker 5>in the story, had mentioned it, and researching online, I

0:18:47.600 --> 0:18:49.600
<v Speaker 5>saw it had been going viral. So I contacted the

0:18:49.600 --> 0:18:51.800
<v Speaker 5>dealership and they confirmed that it was true. That was

0:18:51.840 --> 0:18:54.680
<v Speaker 5>their offer in July, and even in August they had

0:18:54.760 --> 0:18:57.840
<v Speaker 5>like a twenty dollars deal. And then if you hadn't

0:18:57.880 --> 0:19:01.040
<v Speaker 5>mentioned the article that was written that helped that deal

0:19:01.080 --> 0:19:04.480
<v Speaker 5>go viral, then your deal was twenty five dollars. And

0:19:04.520 --> 0:19:06.639
<v Speaker 5>then even in August they confirmed they were offering the

0:19:06.720 --> 0:19:08.920
<v Speaker 5>Nissan Leafs for as low as sixty five dollars a month.

0:19:09.520 --> 0:19:12.840
<v Speaker 3>It's just because nobody wants evs, Is that why?

0:19:13.800 --> 0:19:17.120
<v Speaker 5>Well, there's debatable about the level of interest in the evs,

0:19:17.200 --> 0:19:19.800
<v Speaker 5>but in speaking to car dealers for this story and others,

0:19:19.840 --> 0:19:23.120
<v Speaker 5>there's a lot of inventory that has been on car

0:19:23.160 --> 0:19:26.760
<v Speaker 5>lots that car dealers are incentivized to move and manufacture

0:19:26.800 --> 0:19:29.680
<v Speaker 5>their manufacturers are providing extra incentives for them to move,

0:19:29.960 --> 0:19:32.720
<v Speaker 5>and there are in the case of leases, there are

0:19:32.800 --> 0:19:36.880
<v Speaker 5>evs that no longer qualify for federal tax credits because

0:19:36.920 --> 0:19:39.679
<v Speaker 5>of new rules that were enacted by Congress in the

0:19:39.880 --> 0:19:43.320
<v Speaker 5>twenty twenty two Inflation Reduction Act, which placed limits on

0:19:44.359 --> 0:19:47.000
<v Speaker 5>where the cars are built, where their batteries are from,

0:19:47.080 --> 0:19:50.240
<v Speaker 5>where the minerals are from the price of the car,

0:19:50.400 --> 0:19:53.040
<v Speaker 5>even the income of the car buyer, and all those

0:19:53.160 --> 0:19:58.520
<v Speaker 5>limits applied to purchases, but leases are considered commercial vehicles

0:19:58.600 --> 0:20:00.879
<v Speaker 5>and none of those limits to apply to those. So

0:20:00.920 --> 0:20:04.479
<v Speaker 5>the manufacturers then get the credit themselves, bundle it with

0:20:04.560 --> 0:20:08.760
<v Speaker 5>other incentives to offer good deals on cars they really

0:20:08.800 --> 0:20:09.919
<v Speaker 5>want to move from their lots.

0:20:10.359 --> 0:20:12.239
<v Speaker 1>Some of that I've been wondering when it comes to

0:20:12.280 --> 0:20:16.520
<v Speaker 1>EV's I mean, Tim made reference to the demand kind

0:20:16.520 --> 0:20:18.280
<v Speaker 1>of not being there. Maybe not in the way that

0:20:18.600 --> 0:20:22.160
<v Speaker 1>a lot of these automakers had expected it, But from

0:20:22.160 --> 0:20:24.720
<v Speaker 1>the buyer's perspective, there's a lot of question marks over

0:20:24.760 --> 0:20:28.720
<v Speaker 1>the resale value of an EV, especially as battery technology

0:20:28.720 --> 0:20:31.639
<v Speaker 1>continues to develop. I mean, is it possible that people

0:20:32.040 --> 0:20:35.200
<v Speaker 1>might be more inclined to lease a v in EV

0:20:35.440 --> 0:20:39.360
<v Speaker 1>especially at some of these low monthly payments that you

0:20:39.400 --> 0:20:42.440
<v Speaker 1>write about, versus buy one and take the resale risk.

0:20:43.520 --> 0:20:46.439
<v Speaker 5>Yeah, that's definitely an advantage that people have raised about leasing,

0:20:46.560 --> 0:20:49.920
<v Speaker 5>that the technology has changed so much even in the

0:20:50.000 --> 0:20:52.160
<v Speaker 5>last couple of years, that you kind of just don't

0:20:52.160 --> 0:20:54.159
<v Speaker 5>have the risk of having this car which could have

0:20:54.240 --> 0:20:58.000
<v Speaker 5>different charging technology in five or ten years. So people

0:20:58.119 --> 0:21:00.119
<v Speaker 5>that have been in the market for leases have I

0:21:00.119 --> 0:21:02.919
<v Speaker 5>did that as an advantage, and the types of deals

0:21:02.920 --> 0:21:04.840
<v Speaker 5>that are out there that it's really hard to match

0:21:04.960 --> 0:21:07.880
<v Speaker 5>on traditional cars at this point.

0:21:08.359 --> 0:21:10.960
<v Speaker 3>So I guess the question that I have is what

0:21:11.080 --> 0:21:14.199
<v Speaker 3>demand looks like moving forward, Keith, Because if we were

0:21:14.240 --> 0:21:18.200
<v Speaker 3>talking a couple of years ago, everybody would be thinking

0:21:18.240 --> 0:21:20.439
<v Speaker 3>EV's one hundred percent would be the way to go.

0:21:20.480 --> 0:21:21.760
<v Speaker 3>But I think it was just last week we learned

0:21:21.760 --> 0:21:25.320
<v Speaker 3>from Volvo that they're sort of ditching their timeline. Ford

0:21:25.920 --> 0:21:29.600
<v Speaker 3>is completely throwing their timeline out the window. Here, what's

0:21:29.640 --> 0:21:32.639
<v Speaker 3>the timeline for a transition to EV's. Is that something

0:21:32.680 --> 0:21:34.960
<v Speaker 3>that you think will even happen.

0:21:36.560 --> 0:21:38.720
<v Speaker 5>Well, you know, it was at the beginning of the

0:21:38.720 --> 0:21:41.000
<v Speaker 5>Biden administration. All the carmakers were at the White House

0:21:41.000 --> 0:21:43.240
<v Speaker 5>and there was this big thing except for Tesla, right,

0:21:43.760 --> 0:21:46.800
<v Speaker 5>except for Tesla. Yeah, there's a lot of history.

0:21:46.920 --> 0:21:47.640
<v Speaker 3>There's a lot of history.

0:21:47.840 --> 0:21:50.399
<v Speaker 5>Yeah, there's a lot of history there. But the major,

0:21:50.720 --> 0:21:52.520
<v Speaker 5>the other major automakers were all the White House, and

0:21:52.560 --> 0:21:54.440
<v Speaker 5>there was a big pronouncement that we're going to have

0:21:54.480 --> 0:21:57.440
<v Speaker 5>fifty percent ofvs by twenty thirty or zero emission cars

0:21:57.480 --> 0:22:03.720
<v Speaker 5>by twenty thirty. The pay lease of ev adoption probably

0:22:03.800 --> 0:22:06.800
<v Speaker 5>doesn't get us there. Currently, EV's we're just under ten

0:22:06.880 --> 0:22:12.400
<v Speaker 5>percent of the market in twenty twenty three. We'll see

0:22:12.440 --> 0:22:14.919
<v Speaker 5>where they land in twenty twenty four. Leasing is a

0:22:15.000 --> 0:22:18.119
<v Speaker 5>rare bright spot leasing ev leasing was thirty two percent

0:22:19.480 --> 0:22:22.840
<v Speaker 5>for EV's in the first quarter this year, and it

0:22:22.880 --> 0:22:26.159
<v Speaker 5>was eleven percent, i believe for regular cars. So leasing

0:22:26.200 --> 0:22:29.119
<v Speaker 5>has been a bright spot, and it could be the

0:22:29.119 --> 0:22:32.440
<v Speaker 5>case that, you know, leasing allows people who are kind

0:22:32.480 --> 0:22:34.440
<v Speaker 5>of skeptical about the technology to try it for a

0:22:34.480 --> 0:22:37.280
<v Speaker 5>few years and decide if it's for them. So it

0:22:37.320 --> 0:22:40.440
<v Speaker 5>remains to be seen whether we get to the types

0:22:40.480 --> 0:22:44.240
<v Speaker 5>of numbers that we're talked about in that White House event.

0:22:44.680 --> 0:22:47.800
<v Speaker 5>But the carmakers have not said that they were going

0:22:47.840 --> 0:22:51.080
<v Speaker 5>to stop making EV's completely and for no other reason,

0:22:51.160 --> 0:22:53.119
<v Speaker 5>then they want to sell cars in China.

0:22:53.840 --> 0:22:56.000
<v Speaker 1>This isn't really a question so much as a comment.

0:22:56.080 --> 0:23:00.440
<v Speaker 1>But in defense of leasing, I mean, I like to

0:23:00.520 --> 0:23:03.720
<v Speaker 1>lease cars, Keith, simply because I like getting a new.

0:23:03.640 --> 0:23:06.200
<v Speaker 6>Car every couple of years. I like to try out different.

0:23:05.880 --> 0:23:07.119
<v Speaker 3>Times in New York City.

0:23:07.320 --> 0:23:09.680
<v Speaker 6>I know, but I have a car I have to drive,

0:23:09.720 --> 0:23:12.560
<v Speaker 6>get to the horses, et cetera. I don't know.

0:23:12.640 --> 0:23:15.520
<v Speaker 1>Maybe that's a factor. That's my comment. It's not a question, Keith.

0:23:15.520 --> 0:23:17.160
<v Speaker 1>I don't know if you want to do anything with it.

0:23:17.680 --> 0:23:20.639
<v Speaker 5>Well, yeah, at leasing has it has its fans. It

0:23:20.720 --> 0:23:23.840
<v Speaker 5>is a and it just depends on whether it makes

0:23:23.880 --> 0:23:26.119
<v Speaker 5>sense for the factors, the type of factors you mentioned.

0:23:26.160 --> 0:23:29.680
<v Speaker 5>It's a practicality consideration, and that's what we're finding a

0:23:29.720 --> 0:23:32.480
<v Speaker 5>lot of people are basing their consideration of EV's on.

0:23:32.560 --> 0:23:34.359
<v Speaker 5>There are people, you know, I talk to people for

0:23:34.440 --> 0:23:37.280
<v Speaker 5>this story who were buying their second or third EV

0:23:37.640 --> 0:23:39.640
<v Speaker 5>And there are some people that say they don't trust

0:23:39.680 --> 0:23:41.280
<v Speaker 5>the charging and they do a lot of you know,

0:23:41.320 --> 0:23:42.680
<v Speaker 5>long distance trips and don't.

0:23:42.480 --> 0:23:44.960
<v Speaker 3>Want to Oh sorry, go ahead, Keith.

0:23:45.359 --> 0:23:47.840
<v Speaker 5>No, just it's just kind of comes down to each

0:23:47.880 --> 0:23:50.199
<v Speaker 5>individual car buyer whether leasing makes sense for you or not.

0:23:50.280 --> 0:23:53.000
<v Speaker 5>And in some cases, you know, I talked to a

0:23:53.080 --> 0:23:56.679
<v Speaker 5>gentleman for this story who leased a Kia Nero, and

0:23:56.720 --> 0:23:58.320
<v Speaker 5>he said he got a deal where he's paying three

0:23:58.400 --> 0:24:00.760
<v Speaker 5>hundred and seven dollars a month, And he started out

0:24:00.760 --> 0:24:03.000
<v Speaker 5>trying to buy a key in Nero and the least

0:24:03.000 --> 0:24:04.560
<v Speaker 5>deal was just so good he couldn't pass it up,

0:24:04.600 --> 0:24:06.000
<v Speaker 5>he said, I couldn't. You can't get anything for three

0:24:06.040 --> 0:24:06.680
<v Speaker 5>hundred dollars a month.

0:24:06.680 --> 0:24:08.440
<v Speaker 3>These days, we only have like twenty seconds left. But

0:24:08.560 --> 0:24:10.359
<v Speaker 3>because it better, Could it be better for some people

0:24:10.359 --> 0:24:15.359
<v Speaker 3>to lease, because they're concerns about battery life and battery degradation, Yes,

0:24:15.440 --> 0:24:16.080
<v Speaker 3>because you can.

0:24:16.440 --> 0:24:18.840
<v Speaker 5>In that case, you could lease for as short as

0:24:18.880 --> 0:24:21.320
<v Speaker 5>two or three years. You're not you're not stuck with

0:24:21.359 --> 0:24:24.000
<v Speaker 5>a car throughout in the years where you could have

0:24:24.040 --> 0:24:25.920
<v Speaker 5>those type of problems. If that's something you're concerned about.

0:24:26.080 --> 0:24:29.600
<v Speaker 3>Keith Lang, Bloomberg News Automotive Regulations reporter joining us from

0:24:29.600 --> 0:24:33.679
<v Speaker 3>our Washington, DC bureau. You can read his story about

0:24:33.680 --> 0:24:36.280
<v Speaker 3>that twenty dollars a month lease for that ev out

0:24:36.320 --> 0:24:39.880
<v Speaker 3>there in Colorado at Bloomberg dot com and on the Bloomberg.

0:24:40.040 --> 0:24:41.080
<v Speaker 1>You know you have a car too.

0:24:41.840 --> 0:24:42.760
<v Speaker 3>Yeah, it's not an EVC.

0:24:43.359 --> 0:24:45.480
<v Speaker 1>No, No, can't do that range.

0:24:45.640 --> 0:24:47.640
<v Speaker 3>I drive the car every week to park it. Oh,

0:24:47.640 --> 0:24:50.320
<v Speaker 3>it's like it's really to you. Shuffle it around, Shuffle

0:24:50.359 --> 0:24:53.680
<v Speaker 3>it around. That's the life of a keep keep it fresh.

0:24:54.000 --> 0:24:57.200
<v Speaker 3>You're listening and watching Bloomberg BusinessWeek. That's Katie Graeffeld. I'm

0:24:57.240 --> 0:24:59.240
<v Speaker 3>Tim Steneveek, and this is Bloomberg.

0:25:01.400 --> 0:25:05.240
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:25:05.359 --> 0:25:08.560
<v Speaker 2>each weekday starting a two pm Eastern on Applecar Play

0:25:08.560 --> 0:25:11.440
<v Speaker 2>and Android Auto with the Bloomberg Business App. You can

0:25:11.480 --> 0:25:14.719
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:25:14.760 --> 0:25:18.399
<v Speaker 2>York station. Just say Alexa Play Bloomberg eleven thirty.

0:25:19.920 --> 0:25:23.480
<v Speaker 3>Let's talk academics, because the gap between women and men

0:25:23.520 --> 0:25:26.280
<v Speaker 3>in leadership roles at US business schools has been shrinking,

0:25:26.840 --> 0:25:29.719
<v Speaker 3>especially as more women are promoted to positions that are

0:25:29.760 --> 0:25:33.480
<v Speaker 3>stepping stones to dean ships. We've got some numbers here.

0:25:33.960 --> 0:25:36.440
<v Speaker 3>In twenty twenty three to twenty twenty four, women deans

0:25:36.440 --> 0:25:39.080
<v Speaker 3>at three hundred and sixty eight US business schools represented

0:25:39.359 --> 0:25:42.199
<v Speaker 3>thirty percent of the total. That's according to research by

0:25:42.240 --> 0:25:46.040
<v Speaker 3>the Association to Advance Collegiate Schools of Business. It's an

0:25:46.040 --> 0:25:49.160
<v Speaker 3>increase from seventeen percent back in two thousand and seven

0:25:49.200 --> 0:25:53.119
<v Speaker 3>to two thousand and eight. What's more, the AACSB found

0:25:53.160 --> 0:25:55.760
<v Speaker 3>women now count for forty three percent of associate business

0:25:55.800 --> 0:25:57.760
<v Speaker 3>school deans. It's a position that often leads to a

0:25:57.800 --> 0:26:01.160
<v Speaker 3>dean ship. Thirty four percent currently in that role. We're

0:26:01.160 --> 0:26:04.560
<v Speaker 3>once associate b school deans. For more, We've got a

0:26:04.600 --> 0:26:08.639
<v Speaker 3>great roundtable Dimitri Casanidis, she's Bloomberg News Senior editor, and

0:26:08.680 --> 0:26:11.199
<v Speaker 3>we've got when Maw with us. She's dean of the

0:26:11.280 --> 0:26:13.879
<v Speaker 3>Villanova School of Business. They both join us here in

0:26:13.920 --> 0:26:16.720
<v Speaker 3>the Bloomberg Interactive Brokers Studio dimeter. I want to start

0:26:16.760 --> 0:26:19.840
<v Speaker 3>with you, and I want you to set the scene

0:26:19.840 --> 0:26:24.359
<v Speaker 3>for us, because each year you spend a lot of

0:26:24.400 --> 0:26:28.560
<v Speaker 3>time focusing on business schools for Bloomberg Business Week. Take

0:26:28.640 --> 0:26:31.600
<v Speaker 3>us into the gender gap when it comes to leadership

0:26:31.600 --> 0:26:32.520
<v Speaker 3>at these schools.

0:26:32.880 --> 0:26:35.000
<v Speaker 9>Well, it's just like the numbers that you just mentioned.

0:26:35.040 --> 0:26:38.199
<v Speaker 9>I mean, there's been a substantial gender gap, but we

0:26:38.280 --> 0:26:42.080
<v Speaker 9>see it narrowing and importantly so I think you see

0:26:42.119 --> 0:26:44.719
<v Speaker 9>it to some degree in a way with our guests today,

0:26:44.840 --> 0:26:48.560
<v Speaker 9>with Dean Mao of Villanova. Women who've been at these

0:26:48.560 --> 0:26:51.800
<v Speaker 9>institutions for a while, who've been growing in different positions

0:26:51.840 --> 0:26:55.440
<v Speaker 9>and moving their way up. And as we see more

0:26:55.480 --> 0:26:57.919
<v Speaker 9>and more of those women sort of stepping into these

0:26:57.960 --> 0:27:00.480
<v Speaker 9>associate dean ships, you know they're primed for taking on

0:27:00.560 --> 0:27:04.879
<v Speaker 9>these roles. I think it's just the generation and the

0:27:04.920 --> 0:27:07.159
<v Speaker 9>time that we're in that it's all kind of coming together.

0:27:07.520 --> 0:27:10.800
<v Speaker 9>There's still a gap, and even I think there's still

0:27:11.359 --> 0:27:13.560
<v Speaker 9>a bit of a gap. I'm looking it up now

0:27:13.560 --> 0:27:15.120
<v Speaker 9>and I'll know that in a minute when I put

0:27:15.119 --> 0:27:16.960
<v Speaker 9>my finger on it when it comes to salary and

0:27:17.000 --> 0:27:20.879
<v Speaker 9>some other differences. But it is meaningful. It's meaningful in

0:27:20.920 --> 0:27:24.400
<v Speaker 9>many ways. As we reported in our story, Dean mal

0:27:24.480 --> 0:27:27.399
<v Speaker 9>was one of several deans that we reported on to

0:27:27.480 --> 0:27:30.159
<v Speaker 9>the women in that institution in various roles, to the

0:27:30.160 --> 0:27:33.600
<v Speaker 9>women who go to those institutions and study representation, as

0:27:33.600 --> 0:27:37.480
<v Speaker 9>we know, matters, and I think it's a very meaningful change. Also,

0:27:37.720 --> 0:27:40.240
<v Speaker 9>just given the way that these institutions are led, there

0:27:40.240 --> 0:27:45.080
<v Speaker 9>are differences, and so I think that it's something that

0:27:45.680 --> 0:27:49.400
<v Speaker 9>we're going to be happy to keep tracking in various ways.

0:27:49.720 --> 0:27:50.000
<v Speaker 10>Well.

0:27:50.320 --> 0:27:52.359
<v Speaker 1>Deanail come in on that point, of course, you're dean

0:27:52.400 --> 0:27:55.240
<v Speaker 1>of the Villanova School of Business. I actually went to

0:27:55.240 --> 0:27:57.720
<v Speaker 1>school at HAVR for just two miles down the road.

0:27:58.280 --> 0:28:00.240
<v Speaker 6>But you've been with Villanova in various.

0:28:00.160 --> 0:28:03.399
<v Speaker 1>Role since nineteen ninety six, I believe. So what was

0:28:03.440 --> 0:28:07.040
<v Speaker 1>the path to finally becoming dean of the business school?

0:28:07.520 --> 0:28:11.520
<v Speaker 8>Oh, it's pretty much my entire career. So I started

0:28:12.119 --> 0:28:16.240
<v Speaker 8>as an assistant professor in the economics department really one

0:28:16.320 --> 0:28:21.880
<v Speaker 8>year out of the graduate program, and then became tenured

0:28:22.840 --> 0:28:28.320
<v Speaker 8>at the Business School, and then took on the department

0:28:28.400 --> 0:28:32.840
<v Speaker 8>chair bro only because my colleagues wanted to hear me

0:28:33.000 --> 0:28:38.320
<v Speaker 8>called chairman mouth, so they waited for ten years for

0:28:38.400 --> 0:28:41.160
<v Speaker 8>that to happen. When it finally happened, they were like, yeah,

0:28:41.200 --> 0:28:46.720
<v Speaker 8>we want her. I never actually wanted because in academia,

0:28:46.840 --> 0:28:50.520
<v Speaker 8>I think what drew us to this profession, at least

0:28:50.560 --> 0:28:53.240
<v Speaker 8>most of us. I try not to overly generalize, is

0:28:53.680 --> 0:28:56.000
<v Speaker 8>to a degree of freedom. You don't really have a boss.

0:28:56.120 --> 0:28:58.560
<v Speaker 8>I mean, department chair really isn't the boss. It's really

0:28:58.600 --> 0:29:02.920
<v Speaker 8>everybody is your boss. So and also like you are

0:29:03.000 --> 0:29:06.960
<v Speaker 8>really not drawn to the salary, right, and so it's

0:29:07.000 --> 0:29:10.760
<v Speaker 8>really that freedom. It's that purpose. It's that working with

0:29:10.880 --> 0:29:14.520
<v Speaker 8>young people and research, right, those are the things I

0:29:14.600 --> 0:29:18.080
<v Speaker 8>dow you there. So being an administrator isn't in most

0:29:18.160 --> 0:29:20.400
<v Speaker 8>people's plan.

0:29:21.000 --> 0:29:25.040
<v Speaker 3>So but yeah, dmail, I'm curious how the makeup of

0:29:25.440 --> 0:29:29.000
<v Speaker 3>the school is representative or is not representative from a

0:29:29.040 --> 0:29:33.240
<v Speaker 3>gender perspective of the actual administration.

0:29:34.160 --> 0:29:36.960
<v Speaker 8>In terms of you know, the deans or yeah, in terms.

0:29:36.840 --> 0:29:39.440
<v Speaker 3>Of the deans for example. And I can only draw

0:29:39.480 --> 0:29:41.360
<v Speaker 3>in my own experience, but when my dad, when my

0:29:41.440 --> 0:29:44.680
<v Speaker 3>dad went to business school in seventies, it was almost

0:29:44.680 --> 0:29:48.040
<v Speaker 3>all men. When I went to business school, you know what,

0:29:48.240 --> 0:29:50.600
<v Speaker 3>eight or ten years ago, it was like fifty to fifty.

0:29:50.920 --> 0:29:53.480
<v Speaker 3>But it didn't seem like the administration was fifty to

0:29:53.520 --> 0:29:54.600
<v Speaker 3>fifty gender.

0:29:54.640 --> 0:29:57.880
<v Speaker 8>Well, yeah, so if you count department chairs and the

0:29:58.040 --> 0:30:01.040
<v Speaker 8>deans and associate deans right now, out of the five

0:30:01.600 --> 0:30:04.680
<v Speaker 8>department chairs, we only have one female, and she's actually

0:30:05.120 --> 0:30:08.960
<v Speaker 8>the finance department chair, which has sixty percent of our students,

0:30:09.040 --> 0:30:11.760
<v Speaker 8>so a very very important job, and she's done a

0:30:11.800 --> 0:30:16.680
<v Speaker 8>fantastic job at that. In terms of the dean's job,

0:30:16.760 --> 0:30:19.520
<v Speaker 8>let's just zoom out a little bit for the whole university.

0:30:20.440 --> 0:30:25.200
<v Speaker 8>We have six colleges, right, so six deans, five are

0:30:25.240 --> 0:30:30.080
<v Speaker 8>female Evillanova. So so that's impressive. But if you think

0:30:30.080 --> 0:30:34.720
<v Speaker 8>about history, right, Dmitria is right that we have come

0:30:34.760 --> 0:30:38.400
<v Speaker 8>a long way. It didn't just happen overnight. I'm looking

0:30:38.480 --> 0:30:41.680
<v Speaker 8>at the hallway and see all the prior business school

0:30:41.720 --> 0:30:45.880
<v Speaker 8>deans pictures and I think I'm the second female. The

0:30:45.920 --> 0:30:49.680
<v Speaker 8>previous dan was the first female dean, Enjoyce Russell, and

0:30:49.720 --> 0:30:52.960
<v Speaker 8>then prior to that all male and mostly priests. And

0:30:53.080 --> 0:30:58.640
<v Speaker 8>so yes, that's right, yes, school, so it's certainly come

0:30:58.640 --> 0:31:01.360
<v Speaker 8>a long way. But right now, for instance, I have

0:31:01.760 --> 0:31:05.280
<v Speaker 8>two senior associate deans and one male one female.

0:31:06.040 --> 0:31:09.920
<v Speaker 1>Yeah, so there you go, and that's the Villanova makeup there.

0:31:09.960 --> 0:31:12.120
<v Speaker 1>And you mentioned that it's not something that you necessarily

0:31:12.160 --> 0:31:15.480
<v Speaker 1>get into for the salary. But Demitria, I want to

0:31:15.480 --> 0:31:17.120
<v Speaker 1>come to you on that point. I mean, you think

0:31:17.160 --> 0:31:20.240
<v Speaker 1>about the data that you have and what does that

0:31:20.440 --> 0:31:22.160
<v Speaker 1>show when it comes to the salaries.

0:31:22.360 --> 0:31:25.040
<v Speaker 9>Yeah, well, I mean we show we've collected data. Again,

0:31:25.080 --> 0:31:29.760
<v Speaker 9>it's from AACSB, the association that Tim mentioned, and there's

0:31:29.760 --> 0:31:32.080
<v Speaker 9>still there's still a gap. I mean, the gap in

0:31:32.240 --> 0:31:35.120
<v Speaker 9>salary has been somewhat consistent. It feels like over the

0:31:35.280 --> 0:31:39.200
<v Speaker 9>last five to eight years, which is about women lagging

0:31:39.480 --> 0:31:43.480
<v Speaker 9>men in the deans roll five to six percent in salary.

0:31:43.680 --> 0:31:46.240
<v Speaker 9>So you know, if you're looking at say an average

0:31:46.400 --> 0:31:51.440
<v Speaker 9>salary for male deans today of about three hundred and

0:31:51.520 --> 0:31:55.680
<v Speaker 9>twenty six thousand versus for females of three hundred and

0:31:55.800 --> 0:31:57.920
<v Speaker 9>thirteen three hundred and fourteen thousand.

0:31:57.640 --> 0:31:58.520
<v Speaker 3>You know, it's not a huge.

0:31:59.240 --> 0:32:02.280
<v Speaker 9>There's still huge, but it's a disparity. And these are

0:32:02.320 --> 0:32:04.920
<v Speaker 9>people again, you know, coming up through the ranks long time,

0:32:05.000 --> 0:32:09.520
<v Speaker 9>with the institution holding important roles. You know, sometimes you

0:32:09.640 --> 0:32:11.040
<v Speaker 9>just scratch your head and wonder why their.

0:32:11.280 --> 0:32:15.240
<v Speaker 3>Diarity hold on? Why is college and graduate school so expensive?

0:32:15.880 --> 0:32:16.680
<v Speaker 3>What are the salaries?

0:32:18.080 --> 0:32:18.800
<v Speaker 9>Well, those.

0:32:20.200 --> 0:32:20.520
<v Speaker 8>They are.

0:32:20.720 --> 0:32:23.360
<v Speaker 9>They are big salaries, but they're big jobs.

0:32:23.440 --> 0:32:26.720
<v Speaker 8>Maybe I don't know deanail In terms of the cost,

0:32:26.920 --> 0:32:30.520
<v Speaker 8>that's very interesting. You asked that, I think inflation adjusted

0:32:30.680 --> 0:32:36.720
<v Speaker 8>economists here, so confession please, it didn't go up as

0:32:36.880 --> 0:32:44.840
<v Speaker 8>much as the sort of headline price tach says, because

0:32:44.880 --> 0:32:48.760
<v Speaker 8>you also have scholarships, right, and so the net cost

0:32:49.240 --> 0:32:53.920
<v Speaker 8>of attending actually in recent years have gone down, did

0:32:54.080 --> 0:32:57.480
<v Speaker 8>not go up. So so that's but if you see

0:32:57.520 --> 0:32:59.960
<v Speaker 8>the price tech, it's like you go to the car dealership,

0:33:00.120 --> 0:33:04.400
<v Speaker 8>No one actually pays that tag price, right, you kind

0:33:04.400 --> 0:33:07.480
<v Speaker 8>of have discounts, and so most the universities give out

0:33:07.520 --> 0:33:10.840
<v Speaker 8>discounts based on these and because that information is very

0:33:10.960 --> 0:33:15.320
<v Speaker 8>hard to obtain, so there isn't a transparency to how

0:33:15.400 --> 0:33:19.640
<v Speaker 8>much the actual cost is for the students. So most universities,

0:33:19.720 --> 0:33:20.320
<v Speaker 8>believe it or.

0:33:20.320 --> 0:33:21.120
<v Speaker 6>Not, are being.

0:33:22.680 --> 0:33:26.520
<v Speaker 8>Pressed squeezed. Right, on one hand, you're giving all these discounts,

0:33:26.600 --> 0:33:30.080
<v Speaker 8>so you're not bringing as much tuition, And on the

0:33:30.160 --> 0:33:33.480
<v Speaker 8>other hand you have the rising costs with faculty salary

0:33:33.560 --> 0:33:34.000
<v Speaker 8>and all that.

0:33:34.440 --> 0:33:36.880
<v Speaker 3>Yeah, I wanted to weillly have a couple of minutes left,

0:33:36.880 --> 0:33:39.160
<v Speaker 3>and I want to get into some of the challenges

0:33:39.240 --> 0:33:41.000
<v Speaker 3>that schools are facing right now, the effect of the

0:33:41.040 --> 0:33:43.320
<v Speaker 3>Supreme Court decision back in the summer of twenty twenty

0:33:43.400 --> 0:33:47.920
<v Speaker 3>three that bans affirmative action. How's this playing out at

0:33:48.040 --> 0:33:49.400
<v Speaker 3>Villanova and at the Business School.

0:33:50.320 --> 0:33:54.440
<v Speaker 8>Actually, we have not finalized the numbers for this year yet,

0:33:54.840 --> 0:33:58.800
<v Speaker 8>but preliminary data seem to suggest the numbers are pretty

0:33:58.880 --> 0:34:01.560
<v Speaker 8>much stabilized. It didn't have a big impact for a

0:34:01.600 --> 0:34:06.000
<v Speaker 8>school like us, and maybe partly because we still have

0:34:06.160 --> 0:34:10.960
<v Speaker 8>very strong outreach and and also if you think about it.

0:34:13.120 --> 0:34:14.960
<v Speaker 8>M I T I think came out and said that.

0:34:16.080 --> 0:34:17.960
<v Speaker 8>They came out and said that was a big story.

0:34:18.520 --> 0:34:21.719
<v Speaker 8>The number did go down for them, right, And and

0:34:21.840 --> 0:34:25.200
<v Speaker 8>I was thinking, like just a few days ago, well,

0:34:25.239 --> 0:34:28.839
<v Speaker 8>that has to have impact on the school right below, right,

0:34:28.960 --> 0:34:30.400
<v Speaker 8>So these students go somewhere.

0:34:30.440 --> 0:34:31.000
<v Speaker 6>Where did they go?

0:34:31.520 --> 0:34:31.640
<v Speaker 9>Right?

0:34:31.800 --> 0:34:34.680
<v Speaker 8>Could they be coming to some school like us? And

0:34:34.960 --> 0:34:38.239
<v Speaker 8>maybe that has an impact on sort of the next

0:34:38.320 --> 0:34:42.320
<v Speaker 8>year schools and then it triggles.

0:34:41.960 --> 0:34:43.560
<v Speaker 6>Down to the following year.

0:34:44.040 --> 0:34:46.880
<v Speaker 8>So that's maybe just a sort of an educated guess

0:34:47.160 --> 0:34:49.359
<v Speaker 8>and for us, maybe it's it's a wash.

0:34:50.040 --> 0:34:52.799
<v Speaker 3>Demeitra. We only have a little less than a minute.

0:34:52.880 --> 0:34:55.120
<v Speaker 3>But as I mentioned, you spend a very good part

0:34:55.200 --> 0:34:58.000
<v Speaker 3>of your year focused on the business schools. I'm not

0:34:58.080 --> 0:34:59.920
<v Speaker 3>going to give anything away because I don't know anything,

0:35:00.440 --> 0:35:01.719
<v Speaker 3>but I know this time of year is when the

0:35:01.800 --> 0:35:05.000
<v Speaker 3>rankings usually come out. Can you give us any preview

0:35:05.120 --> 0:35:07.480
<v Speaker 3>of sort of how you're thinking about things this year?

0:35:08.200 --> 0:35:08.880
<v Speaker 3>Just very briefly.

0:35:09.360 --> 0:35:12.760
<v Speaker 9>I mean, we're we've been talking to deans at several

0:35:12.880 --> 0:35:15.480
<v Speaker 9>schools and you know, going out there and taking a

0:35:15.520 --> 0:35:17.960
<v Speaker 9>look at what's happening. The rankings come out next week,

0:35:18.040 --> 0:35:21.520
<v Speaker 9>By the way, September seventeenth. They will publish at twelve

0:35:21.560 --> 0:35:25.440
<v Speaker 9>oh one am. These are global rankings. You know, a

0:35:25.480 --> 0:35:27.480
<v Speaker 9>lot of the themes we've been seeing in recent years

0:35:27.520 --> 0:35:30.800
<v Speaker 9>are picking up and just taking on greater importance. The AI.

0:35:31.640 --> 0:35:32.200
<v Speaker 6>The theme of.

0:35:34.040 --> 0:35:37.279
<v Speaker 9>AI in both how it's being used in the classroom,

0:35:37.960 --> 0:35:40.880
<v Speaker 9>how it's affecting so many aspects of the education, and

0:35:40.960 --> 0:35:44.759
<v Speaker 9>also in the jobs that the graduates are seeking. And

0:35:44.880 --> 0:35:47.440
<v Speaker 9>then jobs is a big one. This year. It's been

0:35:47.520 --> 0:35:49.959
<v Speaker 9>a challenging year for NBA grads.

0:35:50.160 --> 0:35:52.360
<v Speaker 3>All right, well, we know that has continued. We know

0:35:52.440 --> 0:35:54.560
<v Speaker 3>we'll get you back on as soon as that list does.

0:35:54.600 --> 0:35:56.920
<v Speaker 3>Come out to meetor Cassinedez Bloomberg, new senior editor, when

0:35:57.000 --> 0:35:59.560
<v Speaker 3>Mount Dean of the Villanova School of Business. Here in

0:35:59.640 --> 0:36:02.480
<v Speaker 3>the student I'm brothering.

0:36:02.360 --> 0:36:08.360
<v Speaker 2>Marc a journal. How about you let me drive? Oh no, no, no,

0:36:08.440 --> 0:36:14.360
<v Speaker 2>no's honey please, I'll do the gravels ease, mate. I

0:36:14.480 --> 0:36:15.040
<v Speaker 2>want to try it.

0:36:17.320 --> 0:36:19.200
<v Speaker 7>It's the question time.

0:36:22.000 --> 0:36:24.799
<v Speaker 3>This is the drive to the clothes, don Kim.

0:36:25.000 --> 0:36:26.680
<v Speaker 6>I think we'll drive round each other.

0:36:26.600 --> 0:36:28.400
<v Speaker 2>Down on Bluemberg Radio.

0:36:29.200 --> 0:36:31.560
<v Speaker 3>Would you look at the time, Katie, Oh my god,

0:36:31.880 --> 0:36:33.520
<v Speaker 3>you see three forty two.

0:36:34.440 --> 0:36:36.560
<v Speaker 6>It'd be true that we're only eighteen minutes away from

0:36:36.600 --> 0:36:37.160
<v Speaker 6>the closing bell.

0:36:37.320 --> 0:36:38.960
<v Speaker 3>Think, yeah, I think that is true. I think it's

0:36:38.960 --> 0:36:40.520
<v Speaker 3>fair to say how our market's looking. We just heard

0:36:40.560 --> 0:36:41.080
<v Speaker 3>from Charlie.

0:36:41.400 --> 0:36:45.080
<v Speaker 1>You know it's okay again, we're not quite in we're

0:36:45.280 --> 0:36:47.520
<v Speaker 1>so back territory. But the S and P five hundred,

0:36:47.520 --> 0:36:50.839
<v Speaker 1>it's up three four tenths of percent. Can't really complain there.

0:36:50.880 --> 0:36:52.680
<v Speaker 1>You take a look at the Nasdaq one hundred right now,

0:36:52.680 --> 0:36:55.440
<v Speaker 1>you're big tech names. We're up nine tenths of a percent.

0:36:55.520 --> 0:36:58.240
<v Speaker 1>So some nice follow through on what we saw yesterday,

0:36:58.360 --> 0:37:01.319
<v Speaker 1>falling in absolutely punishing a week last week.

0:37:02.120 --> 0:37:06.360
<v Speaker 3>Uh testing, it works, it works, Okay, Mike is on.

0:37:07.080 --> 0:37:08.839
<v Speaker 3>I want to see what Amanda Gotti has to say

0:37:08.840 --> 0:37:12.720
<v Speaker 3>about this. She's chief investment officer at PNC Asset Management Group. Amanda,

0:37:12.800 --> 0:37:17.240
<v Speaker 3>I want to talk about the s word seasonality, because

0:37:18.000 --> 0:37:22.080
<v Speaker 3>September seasonality is something that we were reminded of last

0:37:22.160 --> 0:37:25.960
<v Speaker 3>week with that huge decline in the in the well, yes,

0:37:26.000 --> 0:37:28.160
<v Speaker 3>it's fair to say everything else. I was going to say,

0:37:28.200 --> 0:37:30.440
<v Speaker 3>this sucks, but how are you thinking about this, Amanda?

0:37:31.560 --> 0:37:33.120
<v Speaker 6>Well, it's great to be with you both.

0:37:33.200 --> 0:37:35.640
<v Speaker 10>I would just simply say it's a sign of the times,

0:37:35.719 --> 0:37:38.920
<v Speaker 10>and yes, that is a Harry Styles refer there. It is.

0:37:39.120 --> 0:37:43.600
<v Speaker 10>We're hunkering down here for what we think is likely

0:37:43.719 --> 0:37:49.239
<v Speaker 10>to be a pretty seasonally average yet challenging environment for investors.

0:37:49.280 --> 0:37:53.040
<v Speaker 10>September is a tough month, and we started off from

0:37:53.080 --> 0:37:56.279
<v Speaker 10>a very tough perspective. I think it's really a function though,

0:37:56.760 --> 0:37:58.640
<v Speaker 10>of there's a lot of news and a lot of

0:37:58.719 --> 0:38:01.239
<v Speaker 10>data points yet to come here. Investors have had it

0:38:01.360 --> 0:38:04.319
<v Speaker 10>really easy for the better part of the year up

0:38:04.360 --> 0:38:08.040
<v Speaker 10>to this point. We're sitting at price to perfection equity levels.

0:38:08.120 --> 0:38:11.000
<v Speaker 10>There's just not a lot of headroom to absorb you

0:38:11.200 --> 0:38:14.600
<v Speaker 10>potentially some negative data points here, so things are getting choppy,

0:38:14.719 --> 0:38:16.960
<v Speaker 10>and I think it's right on cue with a Sign

0:38:17.040 --> 0:38:17.520
<v Speaker 10>of the Times.

0:38:17.920 --> 0:38:21.200
<v Speaker 1>I'm trying to think frantically of another Harry Styles reference,

0:38:21.239 --> 0:38:22.759
<v Speaker 1>and all I have to say is, as it was,

0:38:23.239 --> 0:38:23.839
<v Speaker 1>is a good song.

0:38:24.320 --> 0:38:25.040
<v Speaker 3>It's a great song.

0:38:25.239 --> 0:38:27.360
<v Speaker 1>Yeah right, it was my COVID song I listened to

0:38:27.400 --> 0:38:29.840
<v Speaker 1>a lot while I had COVID the first time. Anyway, Amanda,

0:38:30.080 --> 0:38:31.600
<v Speaker 1>I'm going to ask you a question that I asked

0:38:31.680 --> 0:38:34.120
<v Speaker 1>one of our guests on the Morning show, and that

0:38:34.320 --> 0:38:36.480
<v Speaker 1>is you think about just the cadence of this week.

0:38:36.560 --> 0:38:40.240
<v Speaker 1>Of course, tonight we have the presidential debate between Kamala

0:38:40.320 --> 0:38:43.800
<v Speaker 1>Harris and Donald Trump, potentially the only debate between the

0:38:43.880 --> 0:38:46.680
<v Speaker 1>two this cycle, and then we have, of course CPI

0:38:46.840 --> 0:38:49.359
<v Speaker 1>coming out tomorrow morning. What do you think is more

0:38:49.480 --> 0:38:52.120
<v Speaker 1>important for markets at this juncture? What will you be

0:38:52.280 --> 0:38:53.560
<v Speaker 1>paying more attention to?

0:38:54.760 --> 0:38:55.560
<v Speaker 8>Well, I think.

0:38:55.880 --> 0:39:02.200
<v Speaker 10>CPI is certainly much more important than the debate tonight.

0:39:02.239 --> 0:39:04.320
<v Speaker 10>I'm not sure that we're really going to get a

0:39:04.400 --> 0:39:08.680
<v Speaker 10>lot of hard hitting market intel that's necessarily going to

0:39:08.760 --> 0:39:13.000
<v Speaker 10>drive markets forward here based on what we hear tonight. Obviously,

0:39:13.600 --> 0:39:16.560
<v Speaker 10>policy differentials on either side of the isle are going

0:39:16.640 --> 0:39:19.120
<v Speaker 10>to matter going forward, but I don't think there's going

0:39:19.200 --> 0:39:23.040
<v Speaker 10>to be enough clarity tonight to move markets materially. CPI

0:39:23.239 --> 0:39:26.040
<v Speaker 10>is obviously a critically important one. It's a key input

0:39:26.160 --> 0:39:28.880
<v Speaker 10>into what the FED might ultimately do, but I'm not

0:39:29.000 --> 0:39:32.080
<v Speaker 10>sure the investors are really even that focused on CPI.

0:39:32.239 --> 0:39:37.640
<v Speaker 10>I think they're craving the watermelon sugar high from a

0:39:37.760 --> 0:39:40.760
<v Speaker 10>rate cut coming next week, So I think that's probably

0:39:41.640 --> 0:39:44.239
<v Speaker 10>really much more where the markets and investors' minds are.

0:39:44.520 --> 0:39:46.640
<v Speaker 6>You're on fire. You're just putting me to shake.

0:39:46.719 --> 0:39:47.439
<v Speaker 3>That's how she rolls.

0:39:47.560 --> 0:39:50.480
<v Speaker 6>I can't think of a single reference right now. It's

0:39:50.600 --> 0:39:51.480
<v Speaker 6>just Luck today.

0:39:51.680 --> 0:39:53.719
<v Speaker 1>And I'm really interested that you said that you're more

0:39:53.760 --> 0:39:56.560
<v Speaker 1>focused on CPI, because I asked Katrina Dudley that question

0:39:56.640 --> 0:39:59.640
<v Speaker 1>this morning, and she's actually more interested in the debate

0:39:59.760 --> 0:40:03.160
<v Speaker 1>from sort of the investment perspective to see actually how

0:40:03.320 --> 0:40:06.400
<v Speaker 1>similar their policies are when it comes to some of

0:40:06.440 --> 0:40:09.120
<v Speaker 1>the economic proposals. Of course there is a lot of

0:40:09.160 --> 0:40:12.080
<v Speaker 1>distance when it comes to other issues. But I mean,

0:40:12.280 --> 0:40:15.960
<v Speaker 1>how much as a medium long term investor do you

0:40:16.200 --> 0:40:20.080
<v Speaker 1>pay attention to their policies. Of course we talk about

0:40:20.080 --> 0:40:22.120
<v Speaker 1>the Trump trade the Harris trade all the time, but

0:40:22.600 --> 0:40:26.640
<v Speaker 1>what does the Trump investment look like versus the Harris investment?

0:40:26.680 --> 0:40:27.439
<v Speaker 1>If that makes sense?

0:40:28.200 --> 0:40:30.279
<v Speaker 10>Well, I actually I feel like it's a little bit

0:40:30.360 --> 0:40:33.080
<v Speaker 10>early to say. I mean, we can lean on sort

0:40:33.080 --> 0:40:37.320
<v Speaker 10>of the traditional policy stands for the Republican Party and

0:40:37.440 --> 0:40:39.440
<v Speaker 10>certainly for the Democrats, but I don't know that we

0:40:39.560 --> 0:40:42.960
<v Speaker 10>have enough information, even at this late stage of the

0:40:43.040 --> 0:40:47.160
<v Speaker 10>election cycle to know for sure what the nuances and

0:40:47.280 --> 0:40:50.120
<v Speaker 10>differences are. I mean, I think the debate will be

0:40:50.280 --> 0:40:53.480
<v Speaker 10>very interesting. It's always entertaining to watch how these things

0:40:53.560 --> 0:40:56.880
<v Speaker 10>play out. But from our perspective, what matters more is

0:40:56.960 --> 0:40:59.840
<v Speaker 10>the makeup of control in Washington, and so we're not

0:41:00.120 --> 0:41:02.600
<v Speaker 10>to know that as a function of tonight, there's a

0:41:02.680 --> 0:41:05.000
<v Speaker 10>lot of seats up for grabs, and so you know,

0:41:05.080 --> 0:41:06.880
<v Speaker 10>it's not going to be until we really get to

0:41:07.080 --> 0:41:09.600
<v Speaker 10>the election itself where we have, you know, a lot

0:41:09.680 --> 0:41:14.239
<v Speaker 10>more clarity around what policies might actually get implemented or not.

0:41:14.520 --> 0:41:18.440
<v Speaker 10>Markets always prefer gridlock. Markets always preferred not a lot

0:41:18.520 --> 0:41:21.560
<v Speaker 10>of policy change, and so I think that's the best

0:41:21.680 --> 0:41:25.279
<v Speaker 10>kind of scenario, gridlock for the markets. But if I

0:41:25.360 --> 0:41:27.319
<v Speaker 10>had to point to one thing that I care about

0:41:27.360 --> 0:41:30.200
<v Speaker 10>more than anything else from a policy stance, is what

0:41:30.400 --> 0:41:33.040
<v Speaker 10>happens to corporate tax rates, And so if we get

0:41:33.080 --> 0:41:35.480
<v Speaker 10>some intel on that tonight, that'll be great.

0:41:35.520 --> 0:41:37.160
<v Speaker 6>But I think there's a lot more to come on

0:41:37.239 --> 0:41:38.160
<v Speaker 6>that topic, is it.

0:41:38.239 --> 0:41:42.400
<v Speaker 3>Do you think, apart from the makeup of Congress and

0:41:42.440 --> 0:41:44.960
<v Speaker 3>the presidency of the idea that gridlock is good for investors?

0:41:45.680 --> 0:41:47.479
<v Speaker 3>How do you characterize election risk?

0:41:49.960 --> 0:41:54.720
<v Speaker 10>We don't tend to focus on it as material news,

0:41:54.800 --> 0:41:56.840
<v Speaker 10>which sounds like a crazy thing to say, but I

0:41:56.920 --> 0:41:59.719
<v Speaker 10>think from a market perspective.

0:41:59.200 --> 0:42:02.440
<v Speaker 6>It's actually boys. It creates a lot of noise.

0:42:02.520 --> 0:42:05.480
<v Speaker 10>It creates a lot of short term volatility, but we

0:42:05.680 --> 0:42:09.680
<v Speaker 10>do not position portfolios around binary outcomes, and this is

0:42:09.760 --> 0:42:11.640
<v Speaker 10>really one of those where it's one way or the other,

0:42:12.480 --> 0:42:15.320
<v Speaker 10>and so you know, we're trying to position portfolios so

0:42:15.440 --> 0:42:19.359
<v Speaker 10>that they have ballast because this volatility story is very

0:42:19.440 --> 0:42:22.560
<v Speaker 10>much picking up again. But going into the election, we're

0:42:22.600 --> 0:42:27.080
<v Speaker 10>also very well diversified and very focused on quality because

0:42:27.080 --> 0:42:29.480
<v Speaker 10>it is at this point anybody's guests in terms of

0:42:29.600 --> 0:42:31.920
<v Speaker 10>what the policies are ultimately going to look like. So

0:42:32.040 --> 0:42:35.800
<v Speaker 10>that's that's sort of our defensive offensive playbook at the

0:42:35.880 --> 0:42:37.120
<v Speaker 10>moment going into the election.

0:42:37.440 --> 0:42:40.480
<v Speaker 1>Well, a minute left, what does quality mean in that environment?

0:42:40.560 --> 0:42:43.640
<v Speaker 1>What are the characteristics of a quality company? And is

0:42:43.719 --> 0:42:46.200
<v Speaker 1>that just big tech? Because that has been the definition

0:42:46.280 --> 0:42:46.680
<v Speaker 1>for a while.

0:42:47.000 --> 0:42:49.000
<v Speaker 3>I don't know any Harry style style songs, but there

0:42:49.080 --> 0:42:50.439
<v Speaker 3>was no reference in there to Harry style.

0:42:50.600 --> 0:42:52.400
<v Speaker 6>You use a song, I don't know. I've used up all.

0:42:53.360 --> 0:42:55.719
<v Speaker 10>I've used up all my references, so I can't give

0:42:55.719 --> 0:42:56.560
<v Speaker 10>you another one there.

0:42:56.640 --> 0:42:57.120
<v Speaker 9>But from a.

0:42:57.239 --> 0:43:03.240
<v Speaker 10>Quality perspective, we're definitely focus on high recurring revenue basis,

0:43:03.480 --> 0:43:05.040
<v Speaker 10>strong defendable margins.

0:43:05.120 --> 0:43:08.000
<v Speaker 6>We're in a margin compression environment now.

0:43:07.960 --> 0:43:10.759
<v Speaker 10>So those who have the ability to pull levers to

0:43:10.840 --> 0:43:14.440
<v Speaker 10>defend margins we view as very much quality throwing off

0:43:14.480 --> 0:43:18.000
<v Speaker 10>a ton of cash, low debt, Burton's low leverage. Those

0:43:18.040 --> 0:43:21.000
<v Speaker 10>are kind of the key characteristics around quality. Certainly some

0:43:21.160 --> 0:43:23.279
<v Speaker 10>of the big tech names fit that, but there's a

0:43:23.400 --> 0:43:26.919
<v Speaker 10>lot more diverse options out there than just big tech.

0:43:27.360 --> 0:43:32.120
<v Speaker 3>Amanda Gotti always bringing the references the song of the season.

0:43:32.160 --> 0:43:33.400
<v Speaker 3>You guys see the song you do the song of

0:43:33.440 --> 0:43:34.479
<v Speaker 3>the season or something, right.

0:43:34.400 --> 0:43:36.719
<v Speaker 6>Amanda, Is that what it is we do every year?

0:43:37.000 --> 0:43:39.200
<v Speaker 6>I actually I have a Rolling Stones T shirt on.

0:43:39.280 --> 0:43:41.680
<v Speaker 10>You can't quite see it today, but our song of

0:43:41.680 --> 0:43:43.279
<v Speaker 10>the year for this year was I can't get no

0:43:43.400 --> 0:43:45.120
<v Speaker 10>satisfaction by the Rolling Stones.

0:43:45.160 --> 0:43:45.800
<v Speaker 2>Do you have it?

0:43:45.880 --> 0:43:47.600
<v Speaker 3>Ten seconds? You have it picked out for next year yet?

0:43:48.600 --> 0:43:50.600
<v Speaker 6>No, my gosh, And if I did, I would not

0:43:50.719 --> 0:43:52.760
<v Speaker 6>reveal it yet. You'll have to have me back closer

0:43:52.760 --> 0:43:53.359
<v Speaker 6>to the end of the year.

0:43:53.400 --> 0:43:54.680
<v Speaker 3>Hey, we're going to have you back closer to the

0:43:54.800 --> 0:43:56.279
<v Speaker 3>end of the year, of course, because you do The

0:43:56.320 --> 0:43:58.560
<v Speaker 3>twelve is the twelve days of Christmas.

0:43:58.680 --> 0:43:59.439
<v Speaker 1>There are told days.

0:43:59.560 --> 0:44:03.040
<v Speaker 3>Yeah, the business, Yeah, we always get Amanda Gotti your

0:44:03.040 --> 0:44:06.560
<v Speaker 3>on Christmas, Chief investment officer at PNC Asset Management Group,

0:44:06.719 --> 0:44:09.120
<v Speaker 3>joining us from Pennsylvania.

0:44:09.920 --> 0:44:10.520
<v Speaker 7>This is the.

0:44:10.560 --> 0:44:15.320
<v Speaker 2>Bloomberg Business Week podcast, available on Apple, Spotify, and anywhere

0:44:15.360 --> 0:44:19.239
<v Speaker 2>else you get your podcast. Listen live weekday afternoons from

0:44:19.280 --> 0:44:22.160
<v Speaker 2>two to five pm Eastern on Bloomberg dot com, the

0:44:22.239 --> 0:44:25.520
<v Speaker 2>iHeartRadio app, tune In, and the Bloomberg Business App. You

0:44:25.600 --> 0:44:28.680
<v Speaker 2>can also watch us live every weekday on YouTube and

0:44:28.960 --> 0:44:30.600
<v Speaker 2>always on the Bloomberg terminal