WEBVTT - Netflix Sees Stronger Second Half

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>All right, I knew when Netflix reported last night and

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<v Speaker 2>we were breaking down the numbers, I knew that. Ultimately

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<v Speaker 2>I wanted to get to Keeta Ringanathon, who follows this

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<v Speaker 2>name so closely and picks it apart, goes through the

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<v Speaker 2>details and really explains the story. She has Bloomberg Intelligence,

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<v Speaker 2>Technology and media analyst. As I said, Geeta Ringanathon, she

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<v Speaker 2>is with us on zoom from our Princeton, New Jersey bureau. Hey,

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<v Speaker 2>geta stock's a little bit lower today, but if you

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<v Speaker 2>looked at the aftermarket last night, it was getting killed

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<v Speaker 2>Netflix like down ten to eleven percent, now down about

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<v Speaker 2>four percenters. So initial stock reaction, what were they reacting to?

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<v Speaker 2>And then maybe why did investors maybe rethink it a

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<v Speaker 2>little bit?

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<v Speaker 3>Yeah, thank you so much Carolyn Madison for having me so. Obviously,

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<v Speaker 3>the nee jerk reaction, as always has been to the

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<v Speaker 3>subscriber numbers, right, and so the one Q subscriber numbers

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<v Speaker 3>came in a little bit lighter. The two Q revenue

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<v Speaker 3>guidance wasn't looking too great either, and you know, that

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<v Speaker 3>was kind of what prompted that initial sell off in

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<v Speaker 3>the stock. I think as investors kind of had time to,

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<v Speaker 3>you know, go back a little bit into the report

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<v Speaker 3>and digest some of the other details. Remember, Netflix itself

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<v Speaker 3>is pivoting away from, you know, just being a subscriber

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<v Speaker 3>story to becoming more of a profitability story, becoming more

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<v Speaker 3>of a free cash flow story, and I think they

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<v Speaker 3>did absolutely spectacularly on that front. You know, if you

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<v Speaker 3>look at the operating margins, they came in well above

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<v Speaker 3>what they had projected. If you look at operating profits again,

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<v Speaker 3>they came in very well. And where they really kind

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<v Speaker 3>of stunned, you know, the street was with their free

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<v Speaker 3>cash flow numbers. So over two billion dollars just in

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<v Speaker 3>first quarter free cash flow. They upped their guidance for

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<v Speaker 3>the full year to three and a half billion, and

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<v Speaker 3>we think that that still is pretty conservative. It it

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<v Speaker 3>could well go to maybe about four billion dollars just

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<v Speaker 3>a free cash flow.

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<v Speaker 2>I heard Jens surveillance this marrity, so I got to

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<v Speaker 2>chee a little bit in terms of your thinking. But

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<v Speaker 2>that's amazing, right for media company essentially.

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<v Speaker 3>That is absolutely amazing for media, for streaming, and especially

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<v Speaker 3>for Netflix. Remember, this was a company that was getting

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<v Speaker 3>criticized left, right and center for not you know, not

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<v Speaker 3>generating cash, for losing, for burning three and a half

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<v Speaker 3>billion dollars in cash maybe just about four years ago.

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<v Speaker 3>And how they've turned the story around has just been,

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<v Speaker 3>you know, miraculous, And of course it gives I think

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<v Speaker 3>the whole of the media landscape now a playbook. Right,

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<v Speaker 3>this is what everybody wants to do. This is what

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<v Speaker 3>everybody's aspiring to do. Get to those twenty percent operating margins,

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<v Speaker 3>not only break even on their streaming business, but then

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<v Speaker 3>really get out to churning profits and charning free cash. Remember,

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<v Speaker 3>everybody right now is losing money in the streaming business.

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<v Speaker 3>Whether it's Disney they're going to lose about three billion

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<v Speaker 3>dollars this year, whether it's Paramount again two billion dollars

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<v Speaker 3>in losses, Peacock three billion dollars in losses. So the

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<v Speaker 3>fact that Netflix is going to throw out seven billion

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<v Speaker 3>dollars in EBITDA and three and a half billion in

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<v Speaker 3>free cash flow is is just marvelous.

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<v Speaker 2>You know, media companies have always been fun. If you

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<v Speaker 2>go back to kind of the likes of traditional cable companies,

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<v Speaker 2>and we always talked about them not being necessarily huge

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<v Speaker 2>money maker, Like how do we think about streaming. Should

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<v Speaker 2>they be making money KITA in this environment or should

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<v Speaker 2>they be as a class be making money?

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<v Speaker 3>I mean, that is such an excellent question, right. I

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<v Speaker 3>think after that initial dust settled from that streaming land

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<v Speaker 3>grab phase and everybody was just kind of in that

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<v Speaker 3>rush to get streaming subscribers, I think then this question

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<v Speaker 3>kind of really started to evolve being you know, what

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<v Speaker 3>is what is the endgame? What are the unit economics

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<v Speaker 3>in this business? Is it ever going to be as

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<v Speaker 3>good as the old TV model where we saw networks

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<v Speaker 3>linear TV networks like a USA or a CNBC generate

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<v Speaker 3>you know, thirty thirty five percent margins quarter after quarter,

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<v Speaker 3>and so what we've kind of now, you know, obviously,

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<v Speaker 3>with you know, companies spending handover fist when it came

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<v Speaker 3>to content, you know, there was this question about whether

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<v Speaker 3>they're ever going to be able to break even. I

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<v Speaker 3>think Netflix finally has provided the intry with some sort

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<v Speaker 3>of a template of how to go about it. I mean,

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<v Speaker 3>obviously they did have a lot of bumps down the road,

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<v Speaker 3>especially in their early innings. But I think now now

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<v Speaker 3>that you know they're in a slightly more mature face,

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<v Speaker 3>I think we do have this finally, this this kind

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<v Speaker 3>of playbook.

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<v Speaker 4>So that's my exact question for you. In terms of

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<v Speaker 4>the cash flow, what do you anticipate Netflix pouring that

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<v Speaker 4>cash into to increase profits even more? Are they going

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<v Speaker 4>to lean into more content creation for those programs that

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<v Speaker 4>are really cheap to produce.

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<v Speaker 3>That's a fabulous question. I think what they said last

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<v Speaker 3>night is yes, they're holding content. So they are curbing

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<v Speaker 3>their content spending a little bit this year especially and

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<v Speaker 3>also for twenty twenty four. They kind of gave some

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<v Speaker 3>guidance there. But I think after that, you know, kind

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<v Speaker 3>of everything becomes you know, fair game. So they talk

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<v Speaker 3>not just about you know, necessarily TV shows or film content.

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<v Speaker 3>They're going to expand into different categories. They're going to

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<v Speaker 3>expand into gaming. They already are. In fact, they might

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<v Speaker 3>look at different genres, you know, whether it's sports, pro gramming,

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<v Speaker 3>and all of that is going to take a lot

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<v Speaker 3>of money. So yes, they're definitely going to invest in

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<v Speaker 3>more content, in more programming. But they also talked about

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<v Speaker 3>return of capital. So they already bought back about four

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<v Speaker 3>hundred million shares in the first quarter, and they're going

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<v Speaker 3>to accelerate their whole share repurchase program. So this is

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<v Speaker 3>becoming very much like a traditional, you know, low growths

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<v Speaker 3>tech company.

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<v Speaker 4>Really well, real quick on that, because you mentioned sports

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<v Speaker 4>and I feel like the live stream of the Love

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<v Speaker 4>Is Blind reunion was a good test run for them

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<v Speaker 4>when it comes to live programming. Is it a big

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<v Speaker 4>deal that that didn't go well?

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<v Speaker 3>You know, and they addressed that yesterday a little bit,

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<v Speaker 3>so they did talk about, you know, some technical bugs.

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<v Speaker 3>It obviously is important for them to have all the

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<v Speaker 3>infrastructure in places before they embark on something as ambitious

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<v Speaker 3>as sports programming. I think they'll get there. I mean,

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<v Speaker 3>obviously they are. There are going to be some kings,

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<v Speaker 3>some hiccups on the way. I don't think it's as

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<v Speaker 3>big of a deal. They did finally get the show

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<v Speaker 3>up and running, and they're going to learn along the way,

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<v Speaker 3>so you know, eventually they will have all the infrastructure.

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<v Speaker 2>Isn't it funny though, Geita that you feel like the

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<v Speaker 2>streaming services all this highly produced content you know, you know,

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<v Speaker 2>you can watch it at any time, doesn't matter when

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<v Speaker 2>you watch it. Is now kind of going back to

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<v Speaker 2>the linear model of destination viewing or specific times, whether

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<v Speaker 2>it's through sports or something like a live feed.

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<v Speaker 3>Yeah, I mean that's kind of interesting, and I think

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<v Speaker 3>what Netflix is really trying to do here, I think

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<v Speaker 3>is just kind of build anticipation, create bus. I mean,

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<v Speaker 3>if you look at reality series and something like you know,

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<v Speaker 3>Love is Blind or I don't know, Nailed It or

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<v Speaker 3>all those making competitions. I mean that's something that you

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<v Speaker 3>typically have on in the background as you're folding laundry

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<v Speaker 3>or kind of you know, unloading your dishwasher. But I

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<v Speaker 3>think they want to just create the bus, create anticipation,

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<v Speaker 3>so that you have this audience kind of coming in

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<v Speaker 3>to watch it, almost like appointment television. So it's really

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<v Speaker 3>just more ways for them to you know, have a

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<v Speaker 3>captive audience, which eventually, hopefully they can sell to advertisers.

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<v Speaker 4>At some point on that exact note, advertisers, they were

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<v Speaker 4>going to roll out this ad supported model, What is

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<v Speaker 4>the plan for that? Because I have not seen that yet.

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<v Speaker 3>So the ad supported model is up and running. They

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<v Speaker 3>did not give us necessarily any subscriber numbers around that,

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<v Speaker 3>but they did give us some directional data points. So

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<v Speaker 3>what they did say is that it is going according

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<v Speaker 3>to plan. They probably I mean, by our estimates, they

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<v Speaker 3>probably have about two twenty half million subscribers on that

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<v Speaker 3>AD plan. There's still a lot more market to capture.

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<v Speaker 3>But I think the really interesting point that they gave

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<v Speaker 3>us is even though the plan is priced at seven dollars,

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<v Speaker 3>they are actually making sixteen dollars per subscriber because they're

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<v Speaker 3>able to attract all those advertising dollars. So essentially they're

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<v Speaker 3>agnostic between an AD supported consumer or an AD free consumer.

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<v Speaker 3>Because you remember the standard plan, the standard Netflix add

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<v Speaker 3>free plan costs about fifteen and a half dollars.

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<v Speaker 2>So the AD supported tier and the cracking down on

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<v Speaker 2>password sharing, that's catalysts for the stock to move to

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<v Speaker 2>the upside ultimately when they get it all in place.

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<v Speaker 2>And I'm just worry coutely and should we be concerned

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<v Speaker 2>about the delays here and kind of rolling this out

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<v Speaker 2>or nah, not.

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<v Speaker 3>Really, I picket it in the scheme of things. I mean,

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<v Speaker 3>it's probably a few months out and they needed to

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<v Speaker 3>kind of they need to execute well, and it was

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<v Speaker 3>essential for them to kind of roll it out in

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<v Speaker 3>a few test markets, get those learnings, and then kind

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<v Speaker 3>of implement it. Was it was really interesting that they

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<v Speaker 3>first rolled it out in Canada, and they pretty much

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<v Speaker 3>look at Canada as kind of this proxy for the US.

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<v Speaker 3>So they've got all their learnings from Canada. They know

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<v Speaker 3>how exactly the audience reacted, the users reacted. They kind

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<v Speaker 3>of know what to expect now when they do a

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<v Speaker 3>much broader rollout in the US, which is by far

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<v Speaker 3>their biggest market and where they need to execute really flawlessly.

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<v Speaker 2>Hey, one last question. You know Netflix has been telling

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<v Speaker 2>investors stop fixating on my subscriber model, take a look

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<v Speaker 2>at like sales and profit. Are they right to do

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<v Speaker 2>so in your view?

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<v Speaker 3>I think so? I think investors and Wall Street has

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<v Speaker 3>to pick a lane, right if you wanted. I mean,

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<v Speaker 3>all along it was the subscriber story. Then last year

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<v Speaker 3>you had the great Netflix meltdown, the great Netflix correction,

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<v Speaker 3>and you know they said, okay, subscriber growth has hit

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<v Speaker 3>a wall. Start focusing on our aftability metrics. And you know,

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<v Speaker 3>investors rightly started focusing on profitability metrics. Nobody is chasing

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<v Speaker 3>subscribers anymore, and so now when they are reporting plug

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<v Speaker 3>you know, good profits and good free cash flow, we

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<v Speaker 3>got to give them credit.

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<v Speaker 2>This is why we want to talk to you. Gita

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<v Speaker 2>ring Anathon. She's technology and media analyst at Bloomberg Intelligence,

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<v Speaker 2>knowing all when it comes to Netflix. Joining us from

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<v Speaker 2>our Princeton, New Jersey bureau. Gita, thank you.

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<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

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<v Speaker 2>All right, let's get back to Tesla because that is

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<v Speaker 2>certainly a big focus for investors. Dot down just about

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<v Speaker 2>one percent. Here in the aftermarket, we talked about the valuation,

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<v Speaker 2>especially as the company continues to cut prices. We talked

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<v Speaker 2>a little bit about margins, a little bit light based

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<v Speaker 2>on what the street was expecting. So let's get to

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<v Speaker 2>the valuation side of the story and the fundamental Esha

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<v Speaker 2>Day is Bloomberg News Equity Markets reporter here in our

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<v Speaker 2>Bloomberg Interactive Broker's studio along with gay couple Lot. She

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<v Speaker 2>is Bloomberg News Auto reporter. She's on the phone in

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<v Speaker 2>our Detroit bureau, and I do believe you know, Gabby,

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<v Speaker 2>We've got to start with the fundamental story. What are

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<v Speaker 2>some of the key takeaways that you see? We just

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<v Speaker 2>were kind of running through the numbers with our TV colleagues,

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<v Speaker 2>But what jumps out for you, hey, Carol?

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<v Speaker 5>So yeah, I think going into this, we all knew

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<v Speaker 5>that margins were going to suffer because Tesla has been

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<v Speaker 5>implementing price cuts around the world. But I think a

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<v Speaker 5>floor that the street had was twenty percent gross margin,

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<v Speaker 5>and they came in with nineteen point three percent gross margin.

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<v Speaker 5>So it's not a lot of difference, but that's sort

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<v Speaker 5>of the floor that we thought they would try to

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<v Speaker 5>stay above, and they did in this quarter. And if

0:10:45.840 --> 0:10:48.480
<v Speaker 5>you look at I'm just going through the letter, Tesla's

0:10:48.559 --> 0:10:52.280
<v Speaker 5>letter to investors, and the opening line talks about in

0:10:52.320 --> 0:10:56.560
<v Speaker 5>this current macro economic environment, this is a unique opportunity

0:10:56.559 --> 0:11:01.040
<v Speaker 5>for Tesla. It talks about how basically they are going

0:11:01.080 --> 0:11:02.520
<v Speaker 5>to underprice their competitors.

0:11:02.840 --> 0:11:05.960
<v Speaker 2>We see this right with I mean, China has done

0:11:05.960 --> 0:11:08.480
<v Speaker 2>it right on steel and close and you know, so,

0:11:08.559 --> 0:11:12.560
<v Speaker 2>I mean, we understand the strategy to be fair, yes.

0:11:12.360 --> 0:11:15.240
<v Speaker 5>But I mean, I mean Tesla does. China is a

0:11:15.320 --> 0:11:17.679
<v Speaker 5>huge market for Tesla, and I do have an assembly

0:11:18.240 --> 0:11:21.400
<v Speaker 5>factory in Shanghai, but that I don't think, you know,

0:11:21.400 --> 0:11:23.400
<v Speaker 5>it's not totally the same thing as like the China.

0:11:23.440 --> 0:11:26.040
<v Speaker 5>I mean, Tesla still builds vehicles in America, I think,

0:11:26.840 --> 0:11:29.320
<v Speaker 5>and employees people in the United States, and you know,

0:11:29.559 --> 0:11:31.800
<v Speaker 5>DOES is doing this in the United States, a lot

0:11:31.800 --> 0:11:34.880
<v Speaker 5>of it, so, including the cyber truck, which they just

0:11:34.880 --> 0:11:37.120
<v Speaker 5>said also that it's on track to come lader this year,

0:11:37.200 --> 0:11:39.720
<v Speaker 5>start production later this year, I should say. So it's

0:11:39.720 --> 0:11:43.040
<v Speaker 5>really about thinking about you know, Elon Musk from the beginning,

0:11:43.040 --> 0:11:45.439
<v Speaker 5>even when he was talking about going through production. Hell,

0:11:45.520 --> 0:11:46.920
<v Speaker 5>we didn't think he was going to make it. He's

0:11:46.960 --> 0:11:49.600
<v Speaker 5>always always always stressed that he was going to drive

0:11:49.679 --> 0:11:53.560
<v Speaker 5>down cost, and now we're going to see him leverage that.

0:11:53.640 --> 0:11:56.000
<v Speaker 5>And it's just a matter of if you've been doing this,

0:11:56.200 --> 0:11:59.600
<v Speaker 5>you know, for a decade versus you know, GM or

0:11:59.640 --> 0:12:03.679
<v Speaker 5>four or Stilantis or Volkswagen or whoever, who are kind

0:12:03.720 --> 0:12:06.120
<v Speaker 5>of just now coming into this. Even though they're you know,

0:12:06.240 --> 0:12:09.360
<v Speaker 5>legacy automakers with a lot of manufacturing experience, they don't

0:12:09.440 --> 0:12:12.400
<v Speaker 5>Tesla has more experience than they do at building evs

0:12:12.480 --> 0:12:15.480
<v Speaker 5>and that gives them the advantage to do that. I mean,

0:12:15.520 --> 0:12:16.120
<v Speaker 5>that's part of it.

0:12:16.280 --> 0:12:18.160
<v Speaker 2>So, and this is what's key. We're talking about, not

0:12:18.320 --> 0:12:21.400
<v Speaker 2>just the cost when you say driving down cost, the

0:12:21.440 --> 0:12:23.320
<v Speaker 2>cost of producing it as well as the cost of

0:12:23.320 --> 0:12:24.520
<v Speaker 2>the actual vehicle both.

0:12:25.240 --> 0:12:27.440
<v Speaker 5>Yes, I think yes, yes, I mean the way he

0:12:27.480 --> 0:12:30.400
<v Speaker 5>can cut he's betting that. I mean, you see other

0:12:30.960 --> 0:12:33.520
<v Speaker 5>I mean I cover Stalantis, right, So the CEO Stalantis

0:12:33.520 --> 0:12:36.040
<v Speaker 5>will always brag about how he has a that you know,

0:12:36.160 --> 0:12:38.559
<v Speaker 5>car sales around the world could drop forty percent, he

0:12:38.600 --> 0:12:41.120
<v Speaker 5>would still make money. And that's because you have you

0:12:41.160 --> 0:12:43.160
<v Speaker 5>take a lot of cost out of your manufacturing. And

0:12:43.200 --> 0:12:47.280
<v Speaker 5>that's I mean, Tesla has sought to start producing batteries

0:12:47.320 --> 0:12:51.360
<v Speaker 5>in house. They're talking about processing their own lithium to

0:12:51.400 --> 0:12:55.160
<v Speaker 5>make batteries in Texas. They have you know, they make

0:12:55.200 --> 0:12:57.760
<v Speaker 5>a lot of parts in house. You know, they're not

0:12:57.960 --> 0:13:01.959
<v Speaker 5>like other car companies that buy all this stuff from suppliers,

0:13:02.200 --> 0:13:03.760
<v Speaker 5>you know, down the supply chain. That's what we saw

0:13:03.840 --> 0:13:07.439
<v Speaker 5>during the chip crisis, Tesla did. You know, everybody suffered

0:13:07.440 --> 0:13:09.680
<v Speaker 5>in the auto industry, but Tesla did fair better because

0:13:09.720 --> 0:13:11.400
<v Speaker 5>they did so much of this stuff in the house

0:13:11.440 --> 0:13:14.240
<v Speaker 5>that they could be nimble. They could take a semi

0:13:14.280 --> 0:13:17.400
<v Speaker 5>conductor chip and rewrite the code and make it function

0:13:17.559 --> 0:13:20.160
<v Speaker 5>for another purpose or another thing inside the vehicle.

0:13:20.559 --> 0:13:20.760
<v Speaker 6>Yeah.

0:13:20.920 --> 0:13:24.040
<v Speaker 4>So yeah, well, Asha, I want to bring you in here.

0:13:24.120 --> 0:13:27.080
<v Speaker 4>Tell me what you're thinking about the market reaction. Is

0:13:27.120 --> 0:13:30.320
<v Speaker 4>there more disappointment than you anticipated.

0:13:30.960 --> 0:13:33.760
<v Speaker 6>That's a great question. So, as Gaby mentioned, you know,

0:13:33.880 --> 0:13:37.080
<v Speaker 6>the twenty percent cross margin was sort of the hard

0:13:37.120 --> 0:13:42.720
<v Speaker 6>line that everybody was looking at. Investors are trying to understand,

0:13:43.000 --> 0:13:45.600
<v Speaker 6>you know, this land craft that Tesla is kind of

0:13:46.120 --> 0:13:48.960
<v Speaker 6>getting into, at what price is it coming for?

0:13:49.200 --> 0:13:51.920
<v Speaker 2>So let's talk valuation, right because if you pull it up,

0:13:52.040 --> 0:13:55.520
<v Speaker 2>I mean we've got Tesla at a current pe of

0:13:55.520 --> 0:13:58.520
<v Speaker 2>about fifty two, a forward looking pe of almost forty six,

0:13:58.880 --> 0:14:01.360
<v Speaker 2>and we know investors were and be focused on, especially

0:14:01.600 --> 0:14:04.120
<v Speaker 2>with a company that's been cutting prices absolutely.

0:14:04.400 --> 0:14:06.760
<v Speaker 6>So that margin is the like one of the big

0:14:06.800 --> 0:14:10.080
<v Speaker 6>corner stores of the valuation that Tesla has. And the

0:14:10.160 --> 0:14:13.600
<v Speaker 6>Tesla is valued at like, you know, forty seven fifty

0:14:13.640 --> 0:14:18.560
<v Speaker 6>times earnings forward earnings when you talk about GM or four,

0:14:18.679 --> 0:14:23.160
<v Speaker 6>that's about six seven times, So you know, the disappointment

0:14:23.240 --> 0:14:25.840
<v Speaker 6>on margin is a big disappointment when it comes to

0:14:25.880 --> 0:14:29.000
<v Speaker 6>Tesla compared to like any other automaker, because that that

0:14:29.200 --> 0:14:32.040
<v Speaker 6>is sort of the corner store that's holding up the valuation.

0:14:35.560 --> 0:14:39.400
<v Speaker 6>So if GM has to cut prices or four has

0:14:39.440 --> 0:14:43.080
<v Speaker 6>to cut prices, that's still understandable. But Tesla, even though

0:14:43.080 --> 0:14:46.000
<v Speaker 6>it has scale, doesn't have scale at that point where

0:14:46.040 --> 0:14:47.960
<v Speaker 6>it can hold up the valuation. Can it bring in

0:14:48.040 --> 0:14:51.720
<v Speaker 6>as much revenue, even more scale and really cut down

0:14:51.760 --> 0:14:56.080
<v Speaker 6>the cost of making those cars to at some point,

0:14:56.280 --> 0:14:58.200
<v Speaker 6>you know, drive these margins back up.

0:14:58.560 --> 0:15:01.920
<v Speaker 4>Yeah, So, Gabby, should we be valuing Tesla differently than

0:15:02.080 --> 0:15:03.240
<v Speaker 4>a GM or a Ford.

0:15:04.760 --> 0:15:09.680
<v Speaker 5>Ooh, that's a very controversial question. Obviously, for years we

0:15:09.760 --> 0:15:11.920
<v Speaker 5>heard Wall Street say that this was a tech company,

0:15:11.960 --> 0:15:14.520
<v Speaker 5>not a car company. I kind of feel like both

0:15:14.560 --> 0:15:14.960
<v Speaker 5>are true.

0:15:15.560 --> 0:15:17.120
<v Speaker 7>How do you report on it?

0:15:17.160 --> 0:15:18.320
<v Speaker 2>Like, how do you think about it?

0:15:19.880 --> 0:15:22.840
<v Speaker 5>I take the technology company stuff with a grain of salt,

0:15:22.840 --> 0:15:24.640
<v Speaker 5>because at the end of the day, they are making

0:15:24.760 --> 0:15:27.360
<v Speaker 5>their still metal bashers. However much they don't make you

0:15:27.400 --> 0:15:29.240
<v Speaker 5>want to escape. I mean yes, And you know, when

0:15:29.280 --> 0:15:31.800
<v Speaker 5>you see Elon and I look at this investor letter

0:15:31.880 --> 0:15:35.840
<v Speaker 5>and they talk about their strategy going forward, they're talking

0:15:35.880 --> 0:15:39.560
<v Speaker 5>about we're still making investments in autonomy and vehicle software,

0:15:39.960 --> 0:15:42.080
<v Speaker 5>so that speaks to the tech question you're talking about.

0:15:42.120 --> 0:15:47.040
<v Speaker 5>Tesla believes that they you know, obviously they're quote unquote

0:15:47.200 --> 0:15:49.520
<v Speaker 5>full self driving, which is not full self driving, but

0:15:49.560 --> 0:15:52.240
<v Speaker 5>they're you know, autonomous features in the car that have

0:15:52.320 --> 0:15:55.240
<v Speaker 5>gotten them into hot water with regulators. Nonetheless, they believe

0:15:55.360 --> 0:15:57.760
<v Speaker 5>Elon still seems to firmly believe that that is a

0:15:58.840 --> 0:16:02.040
<v Speaker 5>growing revenue source in future, along with other software services

0:16:02.040 --> 0:16:04.480
<v Speaker 5>in the car, and that's something that all the carmakers

0:16:04.560 --> 0:16:06.880
<v Speaker 5>are looking at now. They're trying to not just be

0:16:06.960 --> 0:16:09.600
<v Speaker 5>metal bashers, but they also want to sell services to

0:16:09.720 --> 0:16:12.760
<v Speaker 5>consumers through the car, which obviously pits them against Apple

0:16:12.800 --> 0:16:15.560
<v Speaker 5>and things like that. There's one other point I wanted

0:16:15.560 --> 0:16:18.360
<v Speaker 5>to make Carol. As we think about this, don't forget

0:16:18.400 --> 0:16:21.720
<v Speaker 5>about China. I'm just looking at you know, there's been

0:16:21.720 --> 0:16:23.600
<v Speaker 5>a lot of headlines about what's going on the auto

0:16:23.640 --> 0:16:28.080
<v Speaker 5>market in China. Elon had a very interesting relationship with China.

0:16:28.120 --> 0:16:30.680
<v Speaker 5>All the other automakers were forced to do joint ventures

0:16:30.680 --> 0:16:34.560
<v Speaker 5>where there would be tech transfer with their Chinese competitors,

0:16:34.680 --> 0:16:38.520
<v Speaker 5>not Tesla Tesla. Elon held out right he never did that.

0:16:38.640 --> 0:16:41.040
<v Speaker 5>He came in and built a plant, you know, once

0:16:41.080 --> 0:16:45.760
<v Speaker 5>he owned it himself quickly. Nonetheless, nonetheless, you see by

0:16:45.880 --> 0:16:49.040
<v Speaker 5>d you see these other domestic Chinese car companies gaining

0:16:49.120 --> 0:16:52.760
<v Speaker 5>share in the Chinese market, not just Tesla, but everybody

0:16:53.240 --> 0:16:55.360
<v Speaker 5>is kind of feeling the pressure there from some of

0:16:55.360 --> 0:16:57.720
<v Speaker 5>the you know, the Chinese car companies have matured and

0:16:57.760 --> 0:17:00.120
<v Speaker 5>they're making some good product now, which is another say.

0:17:00.120 --> 0:17:03.520
<v Speaker 2>To think about when we think about the valuation. And Maddie,

0:17:03.520 --> 0:17:05.399
<v Speaker 2>I knew you wanted to ask that one thing when.

0:17:05.280 --> 0:17:09.480
<v Speaker 4>Its Tesla Gabby Real Quick Inflation Reduction Act, they reported

0:17:09.520 --> 0:17:13.359
<v Speaker 4>an increase in regulatory credits this quarter. How big of

0:17:13.359 --> 0:17:15.280
<v Speaker 4>a deal is that for Tesla moving forward?

0:17:15.760 --> 0:17:18.480
<v Speaker 5>Okay, well, I think it is going to be significant.

0:17:18.560 --> 0:17:22.680
<v Speaker 5>And the CFO, Zaka Kirkhorn, talked about that last quarter

0:17:22.680 --> 0:17:24.639
<v Speaker 5>and I'm definitely going to be watching for his comments

0:17:24.720 --> 0:17:26.959
<v Speaker 5>this quarter. But just let's just make it clear in

0:17:26.960 --> 0:17:30.520
<v Speaker 5>folks minds. Like one thing is the regulatory credits that

0:17:30.600 --> 0:17:33.200
<v Speaker 5>is that's been around for years and that's basically when

0:17:33.200 --> 0:17:36.640
<v Speaker 5>another car company can't meet the EPA's fuel economy rules,

0:17:36.880 --> 0:17:40.960
<v Speaker 5>they can actually buy credit from Tesla, which has nothing

0:17:41.240 --> 0:17:43.680
<v Speaker 5>Tesla does not make combustion engines, right, there's no they're

0:17:43.680 --> 0:17:46.840
<v Speaker 5>all zero emission vehicles, right, So that has been another

0:17:47.000 --> 0:17:50.639
<v Speaker 5>kind of revenue cushion. Margin cushion for Tesla is his credits.

0:17:50.640 --> 0:17:53.040
<v Speaker 5>But as more car companies get electric vehicles, they don't

0:17:53.080 --> 0:17:55.520
<v Speaker 5>need to buy from Tesla. I mean, you know, for example,

0:17:55.600 --> 0:17:59.919
<v Speaker 5>Chrysler and now Stiland has had a huge deal with Tesla,

0:18:00.280 --> 0:18:03.159
<v Speaker 5>and they weren't the only one. So I'm trying to

0:18:03.200 --> 0:18:05.600
<v Speaker 5>look at it there the let's see regular and trying

0:18:05.600 --> 0:18:07.960
<v Speaker 5>to look for regulatory credit. But basically, let me just say, yeah,

0:18:08.000 --> 0:18:11.840
<v Speaker 5>IRA is a different deal. The IRA is about Biden administration.

0:18:11.920 --> 0:18:15.280
<v Speaker 5>The federal government is paying companies to make batteries on

0:18:15.440 --> 0:18:16.000
<v Speaker 5>US soil.

0:18:16.200 --> 0:18:16.400
<v Speaker 8>Right.

0:18:16.480 --> 0:18:19.760
<v Speaker 5>Tesla already has a completely scaled and they're going to

0:18:19.800 --> 0:18:23.040
<v Speaker 5>expand it giga factory in Nevada, and they have one

0:18:23.040 --> 0:18:24.879
<v Speaker 5>in Texa. They're building it. They have it in Texas.

0:18:24.880 --> 0:18:28.199
<v Speaker 5>They're building batteries in Texas. So that's another source of

0:18:28.240 --> 0:18:31.080
<v Speaker 5>government revenue. And it's all about how many batteries, how

0:18:31.119 --> 0:18:33.240
<v Speaker 5>many kill a lot hours of batteries you made? Guess what?

0:18:33.440 --> 0:18:35.960
<v Speaker 5>Like I said, they have first moved for advantage. Tesla

0:18:36.000 --> 0:18:38.119
<v Speaker 5>has been doing this longer, and they're further along.

0:18:38.280 --> 0:18:40.280
<v Speaker 2>This is what is like when it goes back to

0:18:40.400 --> 0:18:42.240
<v Speaker 2>Esha's story that's on the Bloomberg and you should check

0:18:42.240 --> 0:18:43.600
<v Speaker 2>it out. This is why you know, it's like, yeah,

0:18:43.640 --> 0:18:45.400
<v Speaker 2>my valuation, I got it, I'm worth it.

0:18:45.840 --> 0:18:46.119
<v Speaker 9>All right.

0:18:46.160 --> 0:18:48.240
<v Speaker 2>Well, let's see what Ross Gerber has to make out

0:18:48.280 --> 0:18:50.760
<v Speaker 2>of all of this. He's president. You have Gerber Kawasaki

0:18:50.800 --> 0:18:54.480
<v Speaker 2>Wealth and Investment Management, a Tesla shareholder, a Tesla car

0:18:54.560 --> 0:18:57.840
<v Speaker 2>owner once wanted a board seat and then did not.

0:18:58.160 --> 0:19:01.560
<v Speaker 2>He's with us, back with us on Zoom from Santa Monica, California. Hey, Ross,

0:19:01.560 --> 0:19:03.919
<v Speaker 2>good to have you here. I know you're looking at

0:19:03.960 --> 0:19:06.000
<v Speaker 2>all the news coming out of Tesla's stock is still

0:19:06.080 --> 0:19:08.119
<v Speaker 2>down I think about three or four percent here in

0:19:08.200 --> 0:19:10.000
<v Speaker 2>the aftermarket. What jumps out for you.

0:19:10.520 --> 0:19:12.320
<v Speaker 9>Well, what jumps out for me is what I've been

0:19:12.320 --> 0:19:16.040
<v Speaker 9>saying forever, which is Elon needs to spend some money

0:19:16.080 --> 0:19:19.119
<v Speaker 9>on advertising instead of just sacrifice some gross margins and

0:19:19.160 --> 0:19:22.000
<v Speaker 9>cash flow to lower prices. And he's treating the car

0:19:22.119 --> 0:19:25.399
<v Speaker 9>like a commodity, and so you know, if there's less sales,

0:19:25.440 --> 0:19:27.480
<v Speaker 9>they just lower the price, and if there's more sales,

0:19:27.520 --> 0:19:29.439
<v Speaker 9>they raise the price, but that's actually not how you

0:19:29.480 --> 0:19:32.800
<v Speaker 9>sell cars. So I think that this quarter was in

0:19:32.840 --> 0:19:36.080
<v Speaker 9>line with our expectations, so that's the positive. It wasn't worse.

0:19:36.800 --> 0:19:40.159
<v Speaker 9>But you know, when sales are up forty percent but

0:19:40.359 --> 0:19:43.320
<v Speaker 9>revenue and profits are down, there's an issue you got

0:19:43.359 --> 0:19:46.040
<v Speaker 9>to deal with. And blaming the macro environment, like a

0:19:46.040 --> 0:19:48.479
<v Speaker 9>lot of people want to do, isn't isn't accurate, you know,

0:19:48.600 --> 0:19:52.000
<v Speaker 9>So Tesla needs to address the demand side of their business,

0:19:52.000 --> 0:19:53.000
<v Speaker 9>whether they like it or not.

0:19:53.320 --> 0:19:55.880
<v Speaker 4>Well, to be fair, they also blame the weather in California.

0:19:56.200 --> 0:19:57.560
<v Speaker 7>Ross do you suy that.

0:19:57.440 --> 0:20:00.560
<v Speaker 9>That was for solar deployment though, but yeah, yeahyeah, yeah.

0:20:00.440 --> 0:20:01.120
<v Speaker 7>Yeah, fair enough.

0:20:01.160 --> 0:20:04.720
<v Speaker 4>Do you do you think on the valuation side, has

0:20:04.760 --> 0:20:07.240
<v Speaker 4>your perspective changed at all? Do you think the valuation

0:20:07.359 --> 0:20:07.720
<v Speaker 4>is fair?

0:20:08.480 --> 0:20:08.800
<v Speaker 8>Yeah?

0:20:08.920 --> 0:20:11.280
<v Speaker 9>I think the valuation is fair, and I think we've

0:20:11.320 --> 0:20:14.880
<v Speaker 9>been running at fifty times earnings and originally about six

0:20:14.920 --> 0:20:17.080
<v Speaker 9>eight months ago, our earnings expectations for this year we're

0:20:17.119 --> 0:20:19.880
<v Speaker 9>six dollars, So we were at around three hundred dollars

0:20:19.920 --> 0:20:22.640
<v Speaker 9>for Tesla and now they've been lowered to under four dollars.

0:20:23.000 --> 0:20:25.199
<v Speaker 9>So if you do do fifty times four dollars, you're

0:20:25.240 --> 0:20:27.800
<v Speaker 9>at two hundred dollars right now we're seeing earnings that

0:20:27.920 --> 0:20:30.840
<v Speaker 9>might not even make four dollars. So I don't think

0:20:30.880 --> 0:20:33.560
<v Speaker 9>the stock's acting irrationally. And I think for investors who

0:20:33.600 --> 0:20:36.280
<v Speaker 9>have a long term focus, you know, Tesla's trading for

0:20:36.320 --> 0:20:38.720
<v Speaker 9>what it's worth, and so if you're a long term investor,

0:20:38.800 --> 0:20:40.959
<v Speaker 9>it's a good value. But if you're a long term

0:20:41.000 --> 0:20:44.800
<v Speaker 9>Tesla shareholder like myself, it's very disappointing. You see earnings

0:20:44.800 --> 0:20:45.960
<v Speaker 9>going down, right.

0:20:46.119 --> 0:20:48.679
<v Speaker 2>You buy, you sell shares of Tesla. We know that

0:20:48.680 --> 0:20:50.640
<v Speaker 2>we've talked with you a lot. Would you buy at

0:20:50.680 --> 0:20:52.960
<v Speaker 2>this valuation? And as a stock is going down about

0:20:52.960 --> 0:20:55.040
<v Speaker 2>three or four percent here, at least in the aftermarket.

0:20:55.640 --> 0:20:56.960
<v Speaker 9>Well, I think you have to look at it from

0:20:57.000 --> 0:20:59.399
<v Speaker 9>the perspective of if I'm an investor with cash and

0:20:59.440 --> 0:21:02.000
<v Speaker 9>I'm looking to make investments with Tesla still be one

0:21:02.040 --> 0:21:05.040
<v Speaker 9>of our top investments, and absolutely it would be. But

0:21:05.119 --> 0:21:07.560
<v Speaker 9>the question is is if you're heavily invested in Tesla

0:21:07.600 --> 0:21:10.159
<v Speaker 9>today and that's all you own is Tesla, is this

0:21:10.200 --> 0:21:12.760
<v Speaker 9>a smart investment strategy? And I would say no, there's

0:21:12.760 --> 0:21:15.440
<v Speaker 9>a considerable amount of risk that wasn't in Tesla a

0:21:15.520 --> 0:21:15.920
<v Speaker 9>year ago.

0:21:16.200 --> 0:21:20.560
<v Speaker 2>So are you upbeat though that they're saying they are

0:21:20.600 --> 0:21:23.040
<v Speaker 2>seeing an ongoing cost reduction of its vehicles. You know

0:21:23.080 --> 0:21:25.239
<v Speaker 2>what they're doing, right, They're cutting prices to grab more

0:21:25.240 --> 0:21:27.080
<v Speaker 2>of the market. But they're also saying, we're gonna be

0:21:27.080 --> 0:21:29.520
<v Speaker 2>able to cut the cost of production. Do you believe it?

0:21:29.560 --> 0:21:30.360
<v Speaker 2>Can they do it?

0:21:31.000 --> 0:21:31.160
<v Speaker 7>Well?

0:21:31.160 --> 0:21:33.840
<v Speaker 9>I was just there. Absolutely they can do it because

0:21:33.840 --> 0:21:36.560
<v Speaker 9>they got a massive factory that's only producing a couple

0:21:36.640 --> 0:21:39.040
<v Speaker 9>hundred thousand cars that can produce over a million cars.

0:21:39.200 --> 0:21:41.280
<v Speaker 9>So when you think about the point of scale that

0:21:41.320 --> 0:21:44.040
<v Speaker 9>they're in, there's no doubt that they can cut the

0:21:44.080 --> 0:21:46.000
<v Speaker 9>cost of the car. But the problems is as they

0:21:46.040 --> 0:21:49.680
<v Speaker 9>increase production, can they sell all these cars? And if

0:21:49.680 --> 0:21:53.119
<v Speaker 9>they continue to lower prices faster than costs are going down,

0:21:53.240 --> 0:21:56.560
<v Speaker 9>then we've got a real bad situation for Tesla. And

0:21:57.119 --> 0:21:59.560
<v Speaker 9>that's what my concern is when you haven't tried all

0:21:59.600 --> 0:22:02.080
<v Speaker 9>the leave to sell cars. But one thing I think

0:22:02.080 --> 0:22:04.879
<v Speaker 9>we can safely say that Elon's new job at Twitter

0:22:05.000 --> 0:22:07.199
<v Speaker 9>is not helping Tesla sell cars.

0:22:08.440 --> 0:22:10.240
<v Speaker 2>Yeah, and if they're going to do some advertising cuts

0:22:10.240 --> 0:22:12.159
<v Speaker 2>into margins, do you hate that he's cutting prices? Just

0:22:12.160 --> 0:22:14.280
<v Speaker 2>got thirty seconds twenty five? Absolutely?

0:22:14.520 --> 0:22:17.439
<v Speaker 9>I think Tesla's a premium product, and I think it

0:22:17.720 --> 0:22:21.280
<v Speaker 9>serves what we call the mass affluent marketplace, which is massive.

0:22:21.680 --> 0:22:25.560
<v Speaker 9>And I think the continuing and cutting prices actually hurts

0:22:25.600 --> 0:22:28.640
<v Speaker 9>the brand, and so I'd love to see Tesla try

0:22:28.640 --> 0:22:31.160
<v Speaker 9>to hold prices here and try to sell cars any

0:22:31.200 --> 0:22:31.560
<v Speaker 9>other way.

0:22:31.680 --> 0:22:33.600
<v Speaker 2>All Right, Gonna leave it on that note. We know

0:22:33.640 --> 0:22:36.040
<v Speaker 2>a busy afternoon, so so appreciate you weigh Have you

0:22:36.040 --> 0:22:39.560
<v Speaker 2>been buying prices any Tesla's on the price cuts ten seconds?

0:22:39.560 --> 0:22:42.399
<v Speaker 9>Well, no, I already have to Tesla's and they've lost value,

0:22:42.440 --> 0:22:43.200
<v Speaker 9>so I'm not happy.

0:22:44.160 --> 0:22:46.760
<v Speaker 2>All right, Well said, Well said Ross Gerber. Thank you

0:22:46.800 --> 0:22:49.760
<v Speaker 2>so much, President and Chief executive Officer Kerber Kawasaki Wealth

0:22:49.800 --> 0:22:50.800
<v Speaker 2>and Investment Management.

0:22:51.480 --> 0:22:55.080
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:22:55.119 --> 0:22:59.119
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:22:59.280 --> 0:23:02.600
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:23:02.680 --> 0:23:05.800
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:23:06.240 --> 0:23:09.040
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:23:09.800 --> 0:23:13.280
<v Speaker 2>Continue to track developments daily when it comes to AI,

0:23:13.320 --> 0:23:18.199
<v Speaker 2>in particular, generative artificial intelligence, increasingly creeping into the conversation

0:23:19.000 --> 0:23:20.760
<v Speaker 2>is also the creepy thought that AI is like a

0:23:20.800 --> 0:23:24.080
<v Speaker 2>person sentient. There's a great story on the Bloomberg about

0:23:24.119 --> 0:23:27.040
<v Speaker 2>that and reminding us that machines are not conscious. So

0:23:27.440 --> 0:23:29.360
<v Speaker 2>let's get to our next guest. See what he has

0:23:29.400 --> 0:23:31.640
<v Speaker 2>to say about what's going on when it comes to AI.

0:23:32.240 --> 0:23:36.280
<v Speaker 2>He is head of and co founder of a company

0:23:36.280 --> 0:23:38.840
<v Speaker 2>that has been named to Fast Companies prestigious annual list

0:23:38.840 --> 0:23:41.800
<v Speaker 2>of the world's most innovative companies for twenty twenty three

0:23:41.840 --> 0:23:44.879
<v Speaker 2>when it comes to the AI category. With more on that,

0:23:45.840 --> 0:23:48.320
<v Speaker 2>and let's get into the company. It's an AI powered

0:23:48.520 --> 0:23:52.160
<v Speaker 2>app development platform builder dot Ai. I think I need

0:23:52.359 --> 0:23:55.240
<v Speaker 2>AI right now to help me read. We welcome co

0:23:55.320 --> 0:24:00.280
<v Speaker 2>founder Satan Doogal. He's Dev Doogal, co founder and chief

0:24:00.320 --> 0:24:03.080
<v Speaker 2>wizard a builder dot Ai. He's here in our interactive

0:24:03.080 --> 0:24:05.600
<v Speaker 2>broker studio. Sorry my introduction was too long. I should

0:24:05.600 --> 0:24:06.480
<v Speaker 2>have just said hello, come in.

0:24:06.680 --> 0:24:07.760
<v Speaker 8>Thank you so much for having me.

0:24:08.200 --> 0:24:10.480
<v Speaker 2>Good to have you here with us. Tell us, first

0:24:10.480 --> 0:24:12.879
<v Speaker 2>of all, what your company does specifically.

0:24:12.720 --> 0:24:15.199
<v Speaker 8>So we allow people who don't understand technology to be

0:24:15.200 --> 0:24:15.439
<v Speaker 8>able to.

0:24:15.400 --> 0:24:17.360
<v Speaker 2>Build software, so anybody can build.

0:24:17.160 --> 0:24:18.439
<v Speaker 8>Anyone And why is that important?

0:24:18.480 --> 0:24:18.600
<v Speaker 1>Right?

0:24:18.600 --> 0:24:21.119
<v Speaker 8>If we think about every small business every department in

0:24:21.160 --> 0:24:23.920
<v Speaker 8>a large company, every entrepreneur with an idea they need

0:24:23.960 --> 0:24:25.920
<v Speaker 8>to be digitally native, but they have no idea how

0:24:25.960 --> 0:24:28.679
<v Speaker 8>to be digital native. Like the average person when you

0:24:28.720 --> 0:24:31.879
<v Speaker 8>say Java, thinks coffee being at Starbucks. And when you

0:24:31.920 --> 0:24:33.679
<v Speaker 8>ask them how do they use Excel? They use a

0:24:33.720 --> 0:24:36.400
<v Speaker 8>calculator with it. And that's the average audience. And how

0:24:36.440 --> 0:24:39.040
<v Speaker 8>suddenly do they become relevant in a world that's so digital?

0:24:39.240 --> 0:24:41.359
<v Speaker 2>Can they just hire somebody to be digitally native?

0:24:41.480 --> 0:24:44.280
<v Speaker 8>Yeah, and you have five hundred million developers worth a

0:24:44.320 --> 0:24:47.960
<v Speaker 8>demand and fifteen million developers with a supply. But the

0:24:48.000 --> 0:24:49.440
<v Speaker 8>issue is much bigger than that. I give you a

0:24:49.440 --> 0:24:51.760
<v Speaker 8>really funny an average. So I have two little children,

0:24:52.000 --> 0:24:54.159
<v Speaker 8>and if you say to them, paint me Picasso and

0:24:54.280 --> 0:24:58.040
<v Speaker 8>art class, it's pretty bad. Then you put five pictures

0:24:58.040 --> 0:25:00.760
<v Speaker 8>of Picasso around it and say, paint me pickass So

0:25:00.840 --> 0:25:02.800
<v Speaker 8>it's much better. And then you say to them you

0:25:02.800 --> 0:25:05.679
<v Speaker 8>can cut up these five paintings and make Piassa. And

0:25:05.680 --> 0:25:08.000
<v Speaker 8>now it's something you'll put on the wall. And I think,

0:25:08.040 --> 0:25:09.919
<v Speaker 8>you know how we build software to people that are

0:25:09.960 --> 0:25:11.520
<v Speaker 8>not technically it is the same thing. They need people

0:25:11.560 --> 0:25:14.879
<v Speaker 8>to pick and choose things from things they recognize just

0:25:14.920 --> 0:25:17.240
<v Speaker 8>like they order food at lunch or they order a

0:25:17.320 --> 0:25:19.560
<v Speaker 8>kitchen and that's how software should be.

0:25:20.119 --> 0:25:23.240
<v Speaker 4>So what are you seeing in the trends of the

0:25:23.480 --> 0:25:27.080
<v Speaker 4>entrepreneurs that are coming to you to use your platform.

0:25:27.240 --> 0:25:30.560
<v Speaker 4>What's changed? What's been the single biggest change you've seen

0:25:30.560 --> 0:25:31.760
<v Speaker 4>over the past couple of years.

0:25:32.760 --> 0:25:37.680
<v Speaker 8>So I think firstly the speed at which people are

0:25:37.680 --> 0:25:42.360
<v Speaker 8>coming and the sheer of velocity COVID it was interesting.

0:25:42.400 --> 0:25:46.320
<v Speaker 8>It was like a massive tailwind, but it was a

0:25:46.320 --> 0:25:48.199
<v Speaker 8>gating function. It's like, we're not going back to the

0:25:48.240 --> 0:25:50.879
<v Speaker 8>old way. I think the second thing we've seen is

0:25:51.000 --> 0:25:52.920
<v Speaker 8>it went from a nice to have where I might

0:25:52.920 --> 0:25:55.520
<v Speaker 8>speak to my cousin or the person down the road

0:25:55.520 --> 0:25:57.240
<v Speaker 8>to help me build a website or help me build

0:25:57.240 --> 0:25:59.160
<v Speaker 8>an up to my business is not going to work

0:25:59.400 --> 0:26:01.359
<v Speaker 8>unless I have this working or this problem solved. Right,

0:26:01.359 --> 0:26:02.720
<v Speaker 8>I'm not going to succeed in my job in the

0:26:02.760 --> 0:26:04.040
<v Speaker 8>finance department in a company.

0:26:04.119 --> 0:26:06.119
<v Speaker 2>Yeah. That two year plan to be really all in

0:26:06.160 --> 0:26:07.000
<v Speaker 2>on digital.

0:26:06.720 --> 0:26:08.879
<v Speaker 8>Yes, got to do it now. Yeah, it's accelerated. And

0:26:08.920 --> 0:26:12.000
<v Speaker 8>I think that the third has been for us is

0:26:12.359 --> 0:26:16.159
<v Speaker 8>people have basically let go of the idea that I

0:26:16.200 --> 0:26:17.960
<v Speaker 8>need to be a developer or I need to be

0:26:18.000 --> 0:26:21.199
<v Speaker 8>a programmer, and they are all in and saying I

0:26:21.280 --> 0:26:23.199
<v Speaker 8>just need to get on with this now. So to

0:26:23.240 --> 0:26:25.400
<v Speaker 8>the extent that someone can help me, I will take it.

0:26:25.760 --> 0:26:28.120
<v Speaker 2>You guys are powered, as we said, or I tried

0:26:28.119 --> 0:26:31.879
<v Speaker 2>to say the introduction AI powered app development platform. So

0:26:31.960 --> 0:26:33.920
<v Speaker 2>what is the role of AI in this?

0:26:34.320 --> 0:26:38.240
<v Speaker 8>So there's a couple of things. Firstly, our user experience

0:26:38.280 --> 0:26:41.080
<v Speaker 8>with the customer is like a Domino's Pizza experience plus

0:26:41.119 --> 0:26:43.960
<v Speaker 8>conversational AI. So you talk to the system and as

0:26:43.960 --> 0:26:47.520
<v Speaker 8>you talk, NATASHAI I will understand what you're saying and

0:26:47.560 --> 0:26:49.199
<v Speaker 8>we'll say, okay, let me ask this question. But she

0:26:49.280 --> 0:26:51.240
<v Speaker 8>may not ask the question that the human might ask

0:26:51.280 --> 0:26:54.359
<v Speaker 8>the question. And that's important because we're sill at a

0:26:54.400 --> 0:26:57.480
<v Speaker 8>stage where AI is a toddler, not an adult, and

0:26:57.520 --> 0:26:59.240
<v Speaker 8>so having a human in the loop is really important

0:26:59.280 --> 0:27:01.879
<v Speaker 8>and we realize this our own experience. The second is

0:27:02.720 --> 0:27:05.520
<v Speaker 8>there are things that a machine can do, for example,

0:27:05.840 --> 0:27:08.879
<v Speaker 8>like does the app look like the design? It's a

0:27:08.920 --> 0:27:11.399
<v Speaker 8>computer vision problem. We don't need a human to look

0:27:11.440 --> 0:27:13.359
<v Speaker 8>and go through every single screen on every single device

0:27:13.359 --> 0:27:15.800
<v Speaker 8>and highlight you know what's wrong. And so those are

0:27:15.840 --> 0:27:18.720
<v Speaker 8>really good examples. Our entire platform is powered by knowledge graphs.

0:27:18.760 --> 0:27:21.359
<v Speaker 8>I think about a knowledge graphs like a synthetic brain.

0:27:22.119 --> 0:27:23.960
<v Speaker 8>It knows what you want to build before you know,

0:27:25.080 --> 0:27:27.640
<v Speaker 8>because it's got so much data and so many relationships

0:27:27.680 --> 0:27:30.920
<v Speaker 8>between them. But the most important thing is what we're

0:27:30.960 --> 0:27:33.600
<v Speaker 8>what we're really seeing as an industry trend is the

0:27:33.680 --> 0:27:36.480
<v Speaker 8>shift towards making humans more creative so you don't have

0:27:36.480 --> 0:27:37.359
<v Speaker 8>to do the benign work?

0:27:37.560 --> 0:27:39.960
<v Speaker 2>Is it kind of like I love editing, so like

0:27:40.040 --> 0:27:42.680
<v Speaker 2>somebody writes something and then you go off and edit it.

0:27:42.720 --> 0:27:44.919
<v Speaker 8>Is that kind of how we even further?

0:27:45.359 --> 0:27:45.520
<v Speaker 10>Yeah?

0:27:45.640 --> 0:27:47.240
<v Speaker 8>Look, so I think the editing is even I think

0:27:47.280 --> 0:27:50.160
<v Speaker 8>the editing is a great analogy, right, And I think

0:27:50.160 --> 0:27:52.399
<v Speaker 8>that's what you're getting. What's what we're seeing now is

0:27:52.440 --> 0:27:54.639
<v Speaker 8>eighty percent of the work can be done by machine.

0:27:54.880 --> 0:27:55.160
<v Speaker 6>Yeah.

0:27:55.240 --> 0:27:58.280
<v Speaker 8>The last twenty percent is the human power of creativity? Right?

0:27:58.680 --> 0:28:01.720
<v Speaker 4>Is chat GPT then? And I'm calling it that, but

0:28:01.760 --> 0:28:03.280
<v Speaker 4>I know it's a lot bigger than that. Is that

0:28:03.359 --> 0:28:05.440
<v Speaker 4>a tailwind or a headwind for you?

0:28:06.040 --> 0:28:08.520
<v Speaker 8>I think it's a tailwind, you know. I was joking

0:28:08.520 --> 0:28:11.119
<v Speaker 8>with someone this morning that suddenly llms are things that

0:28:11.160 --> 0:28:14.480
<v Speaker 8>you hear on the tube. The large language models, which

0:28:14.720 --> 0:28:18.600
<v Speaker 8>the acronym that obviously what chat chiped's underlying is six

0:28:18.640 --> 0:28:20.600
<v Speaker 8>months ago, no one talked about llms in the tube

0:28:20.760 --> 0:28:23.120
<v Speaker 8>or chatchiped in the tube. Now suddenly everybody talks about.

0:28:22.880 --> 0:28:25.199
<v Speaker 2>Airbody this, and this is something we were trying to

0:28:25.200 --> 0:28:27.399
<v Speaker 2>talk with. I was with our Rachel Matt, who covers

0:28:27.440 --> 0:28:29.880
<v Speaker 2>AI for Bloomberg News. I mean, what is it what

0:28:30.160 --> 0:28:34.919
<v Speaker 2>happened that all of a sudden this is dominating our conversation.

0:28:35.080 --> 0:28:38.640
<v Speaker 2>AI is not a new thing. We've been using it already.

0:28:38.760 --> 0:28:40.680
<v Speaker 2>We were talking about before you or as you came

0:28:40.720 --> 0:28:42.760
<v Speaker 2>in that I read a sentence and you know, whatever

0:28:43.040 --> 0:28:45.880
<v Speaker 2>program and it helps me finish the sentence. What is

0:28:45.920 --> 0:28:49.239
<v Speaker 2>it that happened? Was it just Microsoft buying something or

0:28:49.560 --> 0:28:52.760
<v Speaker 2>what was out there? What was technologically that happened?

0:28:52.760 --> 0:28:56.160
<v Speaker 8>So I think it was like the perfect storm, and

0:28:56.480 --> 0:28:59.640
<v Speaker 8>it's it's like, you know, you had a piece of

0:28:59.600 --> 0:29:02.440
<v Speaker 8>technolog that had just reached the light level of inflection.

0:29:03.080 --> 0:29:05.760
<v Speaker 8>It got in the hands of general public, they could

0:29:05.760 --> 0:29:08.360
<v Speaker 8>actually do things with it. You had enough people writing

0:29:08.400 --> 0:29:11.479
<v Speaker 8>about it, and it drove into mainstream news so quickly.

0:29:11.880 --> 0:29:13.920
<v Speaker 8>Keep in mind that the reason has become so prolific

0:29:14.000 --> 0:29:16.920
<v Speaker 8>is a part of also how news percolates today compared

0:29:16.920 --> 0:29:19.240
<v Speaker 8>to say when AOL came out with the internet way

0:29:19.240 --> 0:29:21.880
<v Speaker 8>back when, right in the early intern days. Easy to quickly,

0:29:21.880 --> 0:29:23.440
<v Speaker 8>it's very easy to go very quickly.

0:29:23.760 --> 0:29:26.800
<v Speaker 2>It's all bite size your business. Tell us about growth rates.

0:29:26.800 --> 0:29:28.520
<v Speaker 2>We're Bloomberg. We like numbers. Tell us a little bit

0:29:28.560 --> 0:29:30.320
<v Speaker 2>about what you guys are doing, and you're profitable. What's

0:29:30.320 --> 0:29:30.880
<v Speaker 2>your growth rate?

0:29:31.520 --> 0:29:35.600
<v Speaker 8>So we grew last year at two hundred and thirty

0:29:35.640 --> 0:29:38.000
<v Speaker 8>percent year on year. The year before we grew to an.

0:29:37.840 --> 0:29:39.160
<v Speaker 2>Eighty two Are you talking toplant?

0:29:39.160 --> 0:29:40.200
<v Speaker 8>What are your top line revenue?

0:29:40.280 --> 0:29:40.520
<v Speaker 10>Okay?

0:29:40.600 --> 0:29:40.960
<v Speaker 8>And two?

0:29:41.280 --> 0:29:42.600
<v Speaker 2>Tell us what kind of numbers.

0:29:42.880 --> 0:29:45.240
<v Speaker 8>It's it's the it's in the in the in the

0:29:45.320 --> 0:29:47.840
<v Speaker 8>high hundreds of millions. It's low in the hundreds of millions, okay.

0:29:48.960 --> 0:29:51.000
<v Speaker 8>And the year before we grew it three hundred percent

0:29:51.040 --> 0:29:52.960
<v Speaker 8>year in year. We've only been out of beta for

0:29:52.960 --> 0:29:57.120
<v Speaker 8>two and a half years. Profitable, we're almost there, okay

0:29:57.280 --> 0:30:00.360
<v Speaker 8>this year on and off, I mean technology, these were

0:30:00.360 --> 0:30:03.600
<v Speaker 8>also investing a lot, right, So, but for us it's

0:30:03.680 --> 0:30:05.840
<v Speaker 8>the more important thing is we're really focused around building

0:30:05.840 --> 0:30:09.120
<v Speaker 8>a business with strong economics, and so you know, we

0:30:09.120 --> 0:30:12.000
<v Speaker 8>we return between four to six times marketing and sales,

0:30:12.120 --> 0:30:15.200
<v Speaker 8>so our customers really stick onto the platform and they

0:30:15.240 --> 0:30:15.760
<v Speaker 8>spend more.

0:30:15.920 --> 0:30:19.920
<v Speaker 2>All right, really interesting, and it really just plays into

0:30:20.160 --> 0:30:22.160
<v Speaker 2>so much that's going on in our world. Come back,

0:30:22.240 --> 0:30:23.320
<v Speaker 2>let's know how the growth is going.

0:30:23.320 --> 0:30:24.920
<v Speaker 8>Thank you really appreciate it to come back.

0:30:25.000 --> 0:30:30.000
<v Speaker 2>Yeah, really fun, really appreciate. Sachan dev Dougal, co founder

0:30:30.000 --> 0:30:31.720
<v Speaker 2>and chief wizard. What does a chief wizard do?

0:30:32.000 --> 0:30:32.760
<v Speaker 10>Just you got ten.

0:30:32.600 --> 0:30:34.600
<v Speaker 8>Seconds learning to be a CEO?

0:30:34.880 --> 0:30:41.320
<v Speaker 2>Okay, that's cool, CEO adapt that's a nice cover. He

0:30:41.640 --> 0:30:44.960
<v Speaker 2>is a chief wizard and more of Builder dot Ai

0:30:45.160 --> 0:30:47.880
<v Speaker 2>in our Bloomberg Interactive Brokers studio looking forward to and

0:30:48.000 --> 0:30:49.880
<v Speaker 2>coming back and giving us an update. All right, you're

0:30:49.880 --> 0:30:53.200
<v Speaker 2>listening and watching Bloomberg Business Week right here on Bloomberg Radio.

0:30:55.280 --> 0:30:59.600
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:30:59.800 --> 0:31:03.400
<v Speaker 1>editor who bring you America's most trusted business magazine, plus

0:31:03.480 --> 0:31:07.600
<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

0:31:07.640 --> 0:31:12.600
<v Speaker 1>Podcast with Carol Messer and Tim Stenebek from Bloomberg Radio.

0:31:14.680 --> 0:31:19.400
<v Speaker 2>All Right, everybody, Well, the repo man is, why.

0:31:19.240 --> 0:31:24.000
<v Speaker 4>Are you I'm so sorry that I can't control.

0:31:24.320 --> 0:31:25.040
<v Speaker 7>It's kind of funny.

0:31:25.080 --> 0:31:29.840
<v Speaker 2>Well, this whole idea is just really charming. He's back,

0:31:29.880 --> 0:31:31.600
<v Speaker 2>perhaps a sign of our times. We're talking about the

0:31:31.600 --> 0:31:33.920
<v Speaker 2>Repo man. Yeah, it was not just a movie. It's

0:31:33.960 --> 0:31:37.160
<v Speaker 2>actually a real man or woman who's out there repossessing

0:31:37.200 --> 0:31:39.760
<v Speaker 2>our cars. Let's get into it with Bloomberg News Personal

0:31:39.760 --> 0:31:42.800
<v Speaker 2>Finance reporter Claire Valentine, who tracked him or her down

0:31:43.800 --> 0:31:46.720
<v Speaker 2>and a convention. Who knew there's actually a convention out there?

0:31:47.120 --> 0:31:49.400
<v Speaker 2>The stories of the upcoming new issue of Bloomberg Business

0:31:49.400 --> 0:31:53.200
<v Speaker 2>Week on newstands starting tomorrow, already online at Bloomberg dot com,

0:31:53.240 --> 0:31:55.680
<v Speaker 2>slash Businessweekend on the Bloomberg terminal. So let's get to

0:31:55.760 --> 0:31:58.000
<v Speaker 2>it and more on her reporting, Claire joining us in

0:31:58.000 --> 0:32:00.920
<v Speaker 2>her Bloomberg Interactive Broker studio al the editor of Bloomberg

0:32:00.920 --> 0:32:04.600
<v Speaker 2>Business Retil Weber, and Jill I have to say when

0:32:04.600 --> 0:32:06.360
<v Speaker 2>Claire I was in the makeup room a while ago

0:32:06.440 --> 0:32:08.080
<v Speaker 2>and she's like, you don't even believe what I'm doing.

0:32:08.120 --> 0:32:10.920
<v Speaker 2>I'm like, Repo, what what's going on? So so glad

0:32:10.920 --> 0:32:12.000
<v Speaker 2>we can talk about this story.

0:32:12.560 --> 0:32:14.160
<v Speaker 10>Are we not going to talk about Boys to Men?

0:32:14.480 --> 0:32:16.240
<v Speaker 10>Because the Boys to Men was.

0:32:18.000 --> 0:32:18.520
<v Speaker 7>Movie?

0:32:19.800 --> 0:32:21.360
<v Speaker 10>I mean, it's a certain movie. I don't know if

0:32:21.360 --> 0:32:24.040
<v Speaker 10>it's going to be this one. But somebody got to

0:32:24.040 --> 0:32:27.240
<v Speaker 10>the end of the road. All right, Okay, the connection,

0:32:27.720 --> 0:32:30.880
<v Speaker 10>so you get yeah, you get that, there's the road there. Yeah,

0:32:31.320 --> 0:32:35.360
<v Speaker 10>the producers all over that one. Okay. So this immediate

0:32:35.360 --> 0:32:37.320
<v Speaker 10>with the moment Claire started talking about that story about

0:32:37.360 --> 0:32:38.840
<v Speaker 10>the return of the rep a man, I was like,

0:32:38.880 --> 0:32:43.600
<v Speaker 10>oh man, you had me at the But the repost

0:32:43.600 --> 0:32:47.080
<v Speaker 10>story is a really significant one. The car is so

0:32:47.120 --> 0:32:51.960
<v Speaker 10>central to the American economy, and when people start to

0:32:52.040 --> 0:32:55.320
<v Speaker 10>lose that car, I think it has some bigger implications

0:32:55.320 --> 0:32:59.120
<v Speaker 10>for the US economy. But I do want to start

0:32:59.120 --> 0:33:03.080
<v Speaker 10>with this convention because lo and behold, there's a convention

0:33:03.200 --> 0:33:07.360
<v Speaker 10>for everything, and of course there's one for REPO men.

0:33:07.640 --> 0:33:11.360
<v Speaker 10>What goes down at the REPO convention? Claire, Well, as.

0:33:11.200 --> 0:33:14.160
<v Speaker 7>Soon as I heard that this existed, I told my

0:33:14.160 --> 0:33:16.480
<v Speaker 7>boss I have got to go to this and just

0:33:16.520 --> 0:33:19.080
<v Speaker 7>see what it's all about. And it did not disappoint.

0:33:19.880 --> 0:33:23.320
<v Speaker 7>It was a two day convention in Orlando, Florida. So

0:33:23.840 --> 0:33:27.120
<v Speaker 7>I went down on an airplane full of screaming children

0:33:27.240 --> 0:33:31.360
<v Speaker 7>going to Disney World and college students on their way

0:33:31.400 --> 0:33:36.120
<v Speaker 7>to spring break, and got this convention and the first

0:33:36.160 --> 0:33:39.360
<v Speaker 7>thing that really struck me was how many tow trucks

0:33:39.360 --> 0:33:42.240
<v Speaker 7>they managed to get in this hotel. They had displayed

0:33:42.360 --> 0:33:46.440
<v Speaker 7>all their tow trucks. There was all these vendors, all

0:33:46.440 --> 0:33:49.640
<v Speaker 7>this technology on the best way to repo cars. And

0:33:49.680 --> 0:33:53.959
<v Speaker 7>it really got real when one convention attendant looked at

0:33:53.960 --> 0:33:56.280
<v Speaker 7>me and said, yeah, everyone in this room has been

0:33:56.320 --> 0:33:57.600
<v Speaker 7>shot at at least once.

0:33:59.440 --> 0:34:01.400
<v Speaker 2>Why these individually? Is it largely men?

0:34:02.360 --> 0:34:04.680
<v Speaker 7>A lot of men? But it's you know, it really

0:34:04.800 --> 0:34:07.840
<v Speaker 7>is all small business. And I'm really glad I went

0:34:07.920 --> 0:34:11.680
<v Speaker 7>because in doing stories about the repoman and the consumer,

0:34:12.400 --> 0:34:14.920
<v Speaker 7>it was nice to put actual phases to this. And

0:34:14.960 --> 0:34:17.399
<v Speaker 7>what really struck me was that, you know, there is

0:34:17.440 --> 0:34:20.480
<v Speaker 7>this narrative of the evil repo man, and I'm sure

0:34:20.480 --> 0:34:23.279
<v Speaker 7>it's true in some cases, but no one here is

0:34:23.280 --> 0:34:26.279
<v Speaker 7>getting super rich off repoeing cars. He's a very down

0:34:26.280 --> 0:34:30.440
<v Speaker 7>to earth, regular Americans that just happened to make their

0:34:30.480 --> 0:34:32.440
<v Speaker 7>money taking cars from people.

0:34:33.080 --> 0:34:37.000
<v Speaker 10>Okay, so how is that business trending? And by business

0:34:37.040 --> 0:34:43.200
<v Speaker 10>I mean repos Right, this is not something that you know,

0:34:43.239 --> 0:34:46.120
<v Speaker 10>we've really seen for a while, right is it? How

0:34:46.600 --> 0:34:47.799
<v Speaker 10>is it back? And how big is it?

0:34:48.080 --> 0:34:48.279
<v Speaker 6>Yeah?

0:34:48.320 --> 0:34:52.680
<v Speaker 7>So during the pandemic, repos largely dried up. There was

0:34:52.840 --> 0:34:56.879
<v Speaker 7>stimulus checks, a lot of leniency from lenders on pain

0:34:57.000 --> 0:35:00.400
<v Speaker 7>auto loans. Now things are kind of starting to turn,

0:35:00.680 --> 0:35:04.520
<v Speaker 7>and I think this convention really marks almost the start

0:35:04.760 --> 0:35:08.120
<v Speaker 7>of what we're going to see as a surge in repossessions.

0:35:09.040 --> 0:35:11.560
<v Speaker 7>The estimates are that they were about one point two

0:35:11.680 --> 0:35:15.600
<v Speaker 7>million in twenty twenty two. It's up from last year,

0:35:15.760 --> 0:35:19.200
<v Speaker 7>but still down from about one point seven million in

0:35:19.280 --> 0:35:23.120
<v Speaker 7>twenty nineteen. So these are really picking up, and I

0:35:23.160 --> 0:35:25.920
<v Speaker 7>think the convention as a whole was this great window

0:35:26.040 --> 0:35:28.319
<v Speaker 7>into the economy. Right now, do they.

0:35:28.200 --> 0:35:30.840
<v Speaker 10>Play any jokes on each other at a convention like this?

0:35:32.840 --> 0:35:38.400
<v Speaker 7>The jokes that I saw, Let's see who's there. The

0:35:38.480 --> 0:35:41.800
<v Speaker 7>highlight was definitely the repo demo. There's some jokes thrown around.

0:35:41.560 --> 0:35:42.760
<v Speaker 10>There with the demo.

0:35:42.840 --> 0:35:46.400
<v Speaker 7>The repot demo was all of the convention attendees filed

0:35:46.440 --> 0:35:49.120
<v Speaker 7>out to the parking lot, where I thought this was

0:35:49.239 --> 0:35:50.120
<v Speaker 7>very poetic.

0:35:50.480 --> 0:35:50.920
<v Speaker 6>It was a.

0:35:50.920 --> 0:35:56.719
<v Speaker 7>Giant tow truck that was repossessing a Toyota Hybrid. So

0:35:56.760 --> 0:35:59.480
<v Speaker 7>it was like this very liberal car that they were

0:35:59.520 --> 0:36:04.440
<v Speaker 7>like re possessing, and they everyone was crying around the

0:36:04.920 --> 0:36:08.280
<v Speaker 7>tow truck was getting hooked up to take this car away,

0:36:08.440 --> 0:36:11.680
<v Speaker 7>and they were demonstrating all the best techniques and how

0:36:11.760 --> 0:36:14.400
<v Speaker 7>you know what the repro agent honing techniques, towing techniques,

0:36:14.680 --> 0:36:17.640
<v Speaker 7>That's what I thought that was the best one. Well,

0:36:17.800 --> 0:36:19.359
<v Speaker 7>the thing that that stood out to me the most

0:36:19.440 --> 0:36:21.880
<v Speaker 7>is that they really emphasized that when your back is

0:36:22.080 --> 0:36:26.400
<v Speaker 7>turned to the situation behind you, that's the most vulnerable

0:36:26.920 --> 0:36:29.040
<v Speaker 7>because you're at risk of violence.

0:36:28.640 --> 0:36:30.439
<v Speaker 2>Because you have to do it right as somebody who's

0:36:30.480 --> 0:36:32.600
<v Speaker 2>repossessing right. You have to physically do it so like

0:36:32.640 --> 0:36:32.920
<v Speaker 2>you're not.

0:36:33.160 --> 0:36:35.879
<v Speaker 7>Yeah, and it can get really dicey. That was another

0:36:35.880 --> 0:36:38.480
<v Speaker 7>big takeaway. I had no idea how dangerous this industry was.

0:36:40.000 --> 0:36:42.080
<v Speaker 10>There's the other side of this. You talk to people

0:36:42.200 --> 0:36:45.360
<v Speaker 10>who have had their vehicles repossessed, and I'm curious what

0:36:45.760 --> 0:36:47.160
<v Speaker 10>came out of those conversations.

0:36:47.920 --> 0:36:50.160
<v Speaker 7>A lot of people really struggling right now to afford

0:36:50.200 --> 0:36:55.000
<v Speaker 7>their car loans. We saw car prices skyrocket during the pandemic,

0:36:55.040 --> 0:36:57.799
<v Speaker 7>a lot of supply chain issues. A lot of people

0:36:57.840 --> 0:37:00.359
<v Speaker 7>in America just have to have a car, no way

0:37:00.400 --> 0:37:02.279
<v Speaker 7>to get around if you're you know, don't live in

0:37:02.280 --> 0:37:06.000
<v Speaker 7>a city with good public transportation. So people are taking

0:37:06.040 --> 0:37:11.400
<v Speaker 7>out loans with insane interest rates, I mean nineteen twenty percent,

0:37:12.239 --> 0:37:16.080
<v Speaker 7>and their car payments are just so high. There's not

0:37:16.200 --> 0:37:18.320
<v Speaker 7>enough money to go around, especially with inflation.

0:37:18.520 --> 0:37:20.480
<v Speaker 2>You talk about Sarah Fader in your story, and she's

0:37:20.520 --> 0:37:23.160
<v Speaker 2>the one right who's got a nineteen percent interest loan

0:37:23.239 --> 0:37:25.120
<v Speaker 2>from American Credit Acceptance.

0:37:25.440 --> 0:37:29.160
<v Speaker 7>Yes. I went up to New Haven and met Sarah,

0:37:29.200 --> 0:37:32.279
<v Speaker 7>met her family, saw the car, really talked with her

0:37:32.320 --> 0:37:36.920
<v Speaker 7>about her situation, and it really hits home just what

0:37:37.040 --> 0:37:38.879
<v Speaker 7>a lot of people are dealing with right now. I mean,

0:37:38.920 --> 0:37:41.440
<v Speaker 7>her rent had gone up, her groceries were so expensive,

0:37:41.440 --> 0:37:45.480
<v Speaker 7>She's got two teenagers, and with a high car payment,

0:37:45.680 --> 0:37:47.400
<v Speaker 7>there's she's such a tough spot.

0:37:48.040 --> 0:37:52.600
<v Speaker 4>And lenders are excited about making these loans, even if

0:37:52.719 --> 0:37:54.719
<v Speaker 4>they're lending out that money to people who they know

0:37:54.880 --> 0:37:56.200
<v Speaker 4>can't necessarily afford it.

0:37:56.320 --> 0:37:59.359
<v Speaker 7>Right, Yeah, it's the whole way they package up these

0:37:59.360 --> 0:38:03.399
<v Speaker 7>auto loans into bonds. In some cases, investors would still

0:38:03.400 --> 0:38:07.000
<v Speaker 7>get their money back with interest if even three quarters

0:38:07.000 --> 0:38:09.319
<v Speaker 7>of barers so falls it on the loans. So it's

0:38:09.480 --> 0:38:11.919
<v Speaker 7>of course, you know, moves to Wall Street where they're

0:38:11.960 --> 0:38:14.319
<v Speaker 7>eager to package these up and sell them and make

0:38:14.360 --> 0:38:15.120
<v Speaker 7>money off of them.

0:38:15.440 --> 0:38:19.799
<v Speaker 10>Okay, So with the people that you talked to. See

0:38:19.800 --> 0:38:23.799
<v Speaker 10>your car gets repossessed and you know you've lost out

0:38:23.800 --> 0:38:27.120
<v Speaker 10>in that vehicle. Where does the story go from there?

0:38:27.120 --> 0:38:29.000
<v Speaker 10>What do they have to do to get it back,

0:38:29.040 --> 0:38:31.240
<v Speaker 10>to get back to work, to get all that stuff

0:38:31.239 --> 0:38:33.719
<v Speaker 10>that not only has impacts for them, but also the

0:38:33.760 --> 0:38:34.560
<v Speaker 10>economy as a whole.

0:38:34.600 --> 0:38:37.400
<v Speaker 7>Ring. Yeah, in many cases, it's not just the back

0:38:37.440 --> 0:38:40.480
<v Speaker 7>payments that they have to make that they haven't paid

0:38:40.480 --> 0:38:44.360
<v Speaker 7>so far. It's additional fees for repossession and for towing,

0:38:44.640 --> 0:38:46.919
<v Speaker 7>and then there's the hit to their credit score, which

0:38:46.960 --> 0:38:49.120
<v Speaker 7>is going to affect them in the future. I talked

0:38:49.120 --> 0:38:51.680
<v Speaker 7>with a couple of people who'd had their cars repossessed

0:38:51.680 --> 0:38:54.520
<v Speaker 7>that essentially just had to count it as a loss.

0:38:54.600 --> 0:38:56.840
<v Speaker 7>They didn't have the money to get the car back,

0:38:57.160 --> 0:38:59.279
<v Speaker 7>so they were going to have to just move on

0:38:59.360 --> 0:39:02.239
<v Speaker 7>with their lives in any way they can. But it

0:39:02.320 --> 0:39:06.000
<v Speaker 7>definitely you know, when people suddenly don't have a car,

0:39:06.280 --> 0:39:08.600
<v Speaker 7>they can't get to work, maybe they lose their job,

0:39:08.800 --> 0:39:10.720
<v Speaker 7>and it's just this whole spiral cycle.

0:39:11.520 --> 0:39:13.680
<v Speaker 2>So you know, what I'm also curious about is the

0:39:13.680 --> 0:39:17.680
<v Speaker 2>individuals who are the repo man or woman. Do they

0:39:17.719 --> 0:39:20.040
<v Speaker 2>think about this like in terms of that there are

0:39:20.239 --> 0:39:24.440
<v Speaker 2>people and you know, with problems and financial problems. I

0:39:24.520 --> 0:39:26.560
<v Speaker 2>just wonder, is it a job or is it a

0:39:26.600 --> 0:39:27.160
<v Speaker 2>lot more than that.

0:39:28.120 --> 0:39:30.279
<v Speaker 7>I think that's a great question, and it is, you know,

0:39:30.320 --> 0:39:33.400
<v Speaker 7>I don't think they're ignorant of that. But I do

0:39:33.480 --> 0:39:36.759
<v Speaker 7>think what came away from me from the conference was

0:39:36.840 --> 0:39:40.120
<v Speaker 7>very much I think there's this attitude that REPO men

0:39:40.239 --> 0:39:42.359
<v Speaker 7>are misunderstood, and it was a bit of a.

0:39:43.880 --> 0:39:46.600
<v Speaker 2>That's another new movie or we're talking about but go ahead,

0:39:46.640 --> 0:39:47.000
<v Speaker 2>go ahead.

0:39:47.800 --> 0:39:50.840
<v Speaker 7>That the REPO men were sort of like, we're the

0:39:50.840 --> 0:39:53.759
<v Speaker 7>good guys and we're just doing our job. No one

0:39:53.840 --> 0:39:57.160
<v Speaker 7>understands how hard or how dangerous that is. And I think,

0:39:57.200 --> 0:40:00.560
<v Speaker 7>you know, it's it's easy to point your finger at

0:40:00.560 --> 0:40:03.960
<v Speaker 7>at the villain in these situations. I do think the

0:40:04.000 --> 0:40:07.400
<v Speaker 7>truth is more nuanced. You also have in some cases

0:40:07.400 --> 0:40:10.080
<v Speaker 7>predatory lenders that are giving out loans was kind of

0:40:10.120 --> 0:40:12.840
<v Speaker 7>high interest rates. So it's a whole system that contributes

0:40:12.880 --> 0:40:13.920
<v Speaker 7>to this kind of crisis.

0:40:14.960 --> 0:40:19.439
<v Speaker 10>Okay, I'm curious about the Python. Can we talk about

0:40:19.480 --> 0:40:19.960
<v Speaker 10>the Python?

0:40:20.320 --> 0:40:21.320
<v Speaker 7>Yes, the Python.

0:40:21.800 --> 0:40:22.280
<v Speaker 10>The Python.

0:40:22.320 --> 0:40:24.560
<v Speaker 7>It's a pretty impressive truck. I'm not gonna lie.

0:40:25.280 --> 0:40:28.760
<v Speaker 10>It must just like make this room get really excited

0:40:29.239 --> 0:40:31.280
<v Speaker 10>a room full of REPO people.

0:40:31.360 --> 0:40:33.560
<v Speaker 7>I wish I had seen them get these tow trucks

0:40:33.600 --> 0:40:35.960
<v Speaker 7>into the conference room because it was a very nice

0:40:36.000 --> 0:40:39.319
<v Speaker 7>conference center. I mean this was like palm trees this one.

0:40:39.320 --> 0:40:41.839
<v Speaker 7>I mean it's Florida. It was Florida. It was very nice.

0:40:41.840 --> 0:40:43.040
<v Speaker 7>And then all of a sudden you look around and

0:40:43.040 --> 0:40:46.719
<v Speaker 7>there's five tow trucks sitting around. It's I mean, they

0:40:46.760 --> 0:40:49.040
<v Speaker 7>were huge. And what I love the most is that

0:40:49.160 --> 0:40:51.480
<v Speaker 7>to sort of demonstrate how they work, they had this

0:40:51.600 --> 0:40:55.360
<v Speaker 7>little toy car that they were towing that was just

0:40:55.480 --> 0:40:58.439
<v Speaker 7>like the size of a kid's little tricycle. It's showing

0:40:58.440 --> 0:40:59.000
<v Speaker 7>how you hook it up.

0:40:59.040 --> 0:40:59.920
<v Speaker 2>So they have a sense of humor.

0:41:00.640 --> 0:41:03.080
<v Speaker 7>There was a certain extent I eighty eight thousand dollars.

0:41:02.719 --> 0:41:07.520
<v Speaker 10>Though, and these are small businesses, you know. I found

0:41:07.560 --> 0:41:09.880
<v Speaker 10>that to be really interesting, Like it's it's not like

0:41:09.920 --> 0:41:11.880
<v Speaker 10>it's some big company. It's like you're out there on

0:41:11.920 --> 0:41:16.400
<v Speaker 10>your own reprossing vehicles. Was that true for everyone in

0:41:16.440 --> 0:41:18.279
<v Speaker 10>the room? Were they all small businesses or how many

0:41:18.320 --> 0:41:19.399
<v Speaker 10>of them work for somebody else?

0:41:19.480 --> 0:41:21.920
<v Speaker 7>I mean, I would say most of them were small businesses.

0:41:21.960 --> 0:41:23.960
<v Speaker 7>I mean you look around at the clientele and These

0:41:24.000 --> 0:41:27.080
<v Speaker 7>are not you know, millionaires, businessmen in suits. These are

0:41:27.400 --> 0:41:30.080
<v Speaker 7>very you know, blue collar kind of workers. And I'd

0:41:30.120 --> 0:41:33.319
<v Speaker 7>say maybe they have, you know, a place with at

0:41:33.440 --> 0:41:36.920
<v Speaker 7>most to thirty employees, but there are really giant firms

0:41:36.960 --> 0:41:38.439
<v Speaker 7>doing this well.

0:41:38.840 --> 0:41:41.000
<v Speaker 4>It makes me wonder, Claire, like, on a personal level,

0:41:41.160 --> 0:41:43.640
<v Speaker 4>was it ever hard for you to walk up to

0:41:43.640 --> 0:41:46.440
<v Speaker 4>people and just say like, hey, can you give me

0:41:47.560 --> 0:41:48.480
<v Speaker 4>your life story?

0:41:48.640 --> 0:41:51.880
<v Speaker 7>Were you like nervous at all? I was only because

0:41:51.920 --> 0:41:54.680
<v Speaker 7>I'm pretty sure I was the only journalist there. I'm

0:41:54.760 --> 0:41:57.279
<v Speaker 7>sure I am one of the only women, one of

0:41:57.280 --> 0:42:01.400
<v Speaker 7>the only women. These people are not huge fans, so

0:42:01.680 --> 0:42:03.040
<v Speaker 7>got a lot of that, got a lot of people

0:42:03.080 --> 0:42:06.400
<v Speaker 7>coming up to me and being like, oh, hey, I

0:42:06.400 --> 0:42:09.040
<v Speaker 7>heard you're the journalist. Yeah, so it's me.

0:42:09.320 --> 0:42:12.080
<v Speaker 4>Honestly, I went to a men's rights conference for Bloomberg

0:42:12.120 --> 0:42:12.719
<v Speaker 4>a few years ago.

0:42:12.840 --> 0:42:14.000
<v Speaker 7>It sounds very similar.

0:42:14.200 --> 0:42:17.800
<v Speaker 4>You're like, hey, yeah, sorry it was Did.

0:42:17.719 --> 0:42:18.920
<v Speaker 2>You talk to the journalist?

0:42:19.120 --> 0:42:21.279
<v Speaker 7>Yeah? I do think. You know, there are pros and

0:42:21.320 --> 0:42:23.839
<v Speaker 7>cons to being a young woman in this industry, and

0:42:24.400 --> 0:42:26.960
<v Speaker 7>you know, lots of cons, as you and I know,

0:42:27.120 --> 0:42:30.000
<v Speaker 7>but one of the pros is that kind of non threatening.

0:42:30.400 --> 0:42:30.560
<v Speaker 1>Yeah.

0:42:30.600 --> 0:42:32.680
<v Speaker 7>I think if i'd been a big guy coming in

0:42:32.719 --> 0:42:34.400
<v Speaker 7>there talking to the reputman. It may have been a

0:42:34.440 --> 0:42:39.200
<v Speaker 7>little different. So it was a very unique situation recording

0:42:39.200 --> 0:42:40.080
<v Speaker 7>wise that I've been in.

0:42:41.360 --> 0:42:43.319
<v Speaker 10>Does make me wonder who do these people work for?

0:42:43.880 --> 0:42:46.000
<v Speaker 10>You know, like and like how do they get their

0:42:46.040 --> 0:42:47.480
<v Speaker 10>next job?

0:42:47.600 --> 0:42:47.799
<v Speaker 4>Oh?

0:42:47.840 --> 0:42:51.000
<v Speaker 7>This is fascinating. I had no idea the technology behind

0:42:51.040 --> 0:42:54.000
<v Speaker 7>all of this. There were so many firms that were

0:42:54.040 --> 0:43:00.960
<v Speaker 7>advertising their databases. So in some cases these small businesses

0:43:01.000 --> 0:43:04.680
<v Speaker 7>sign up to have access to databases with all this

0:43:04.920 --> 0:43:09.279
<v Speaker 7>license plate data. Oh, it's all proprietary, right, And it

0:43:09.320 --> 0:43:10.920
<v Speaker 7>was fascinating to me. I mean, these are all this

0:43:11.000 --> 0:43:13.400
<v Speaker 7>is public sector, this is or private sector. This is

0:43:13.400 --> 0:43:14.760
<v Speaker 7>not government data.

0:43:14.840 --> 0:43:17.640
<v Speaker 2>So somebody's feeding it into these these apps if you will, or.

0:43:17.640 --> 0:43:20.880
<v Speaker 7>Whatever, like basic like readers that compile all of this

0:43:21.000 --> 0:43:23.719
<v Speaker 7>and then REPO agents can access it to then track

0:43:23.800 --> 0:43:24.360
<v Speaker 7>down your.

0:43:24.239 --> 0:43:28.279
<v Speaker 10>Car AI's work. What do they make?

0:43:29.280 --> 0:43:30.160
<v Speaker 2>How can they afford that?

0:43:30.200 --> 0:43:30.560
<v Speaker 3>Eighty eight?

0:43:30.600 --> 0:43:31.240
<v Speaker 2>That's a dullar?

0:43:31.320 --> 0:43:31.959
<v Speaker 10>What is it called?

0:43:32.080 --> 0:43:32.560
<v Speaker 5>Python?

0:43:32.680 --> 0:43:32.879
<v Speaker 1>Yeah?

0:43:33.120 --> 0:43:34.920
<v Speaker 10>What I want to see is with the Python get.

0:43:34.719 --> 0:43:40.440
<v Speaker 7>Repossessed'll circle right? Yeah, definitely? Yeah. I you know, in

0:43:40.520 --> 0:43:42.879
<v Speaker 7>terms of profit margins on these, I don't have an

0:43:42.880 --> 0:43:45.520
<v Speaker 7>incredible idea. I do think they have had a tough

0:43:45.560 --> 0:43:46.200
<v Speaker 7>couple of years.

0:43:46.320 --> 0:43:48.400
<v Speaker 10>Yeah, because the numbers went down, right like the pandemic

0:43:48.800 --> 0:43:51.560
<v Speaker 10>there was you know, the chart in the story sort

0:43:51.600 --> 0:43:54.680
<v Speaker 10>of says it all. It's like it's backed because you know,

0:43:55.200 --> 0:43:59.120
<v Speaker 10>there was a lull and so and speaking to everyone there, though,

0:43:59.360 --> 0:44:01.880
<v Speaker 10>do they think that this these numbers are going to

0:44:01.960 --> 0:44:03.080
<v Speaker 10>keep going up?

0:44:04.239 --> 0:44:06.160
<v Speaker 7>I think so, yeah. I mean that's I think the

0:44:06.200 --> 0:44:09.279
<v Speaker 7>fact that they dropped so much really has contributed to

0:44:09.320 --> 0:44:11.960
<v Speaker 7>this sort of you know, our industry is in crisis

0:44:12.000 --> 0:44:14.399
<v Speaker 7>and risk kind of mentality. And now what I saw

0:44:14.400 --> 0:44:16.719
<v Speaker 7>at the conference was a lot of people getting more

0:44:16.760 --> 0:44:19.360
<v Speaker 7>excited or getting more like, our industry is on the

0:44:19.440 --> 0:44:21.000
<v Speaker 7>upswing now we are.

0:44:21.080 --> 0:44:22.120
<v Speaker 2>Bad news is good news.

0:44:22.120 --> 0:44:24.240
<v Speaker 7>Bad news is good news. Yeah. Yeah.

0:44:24.360 --> 0:44:25.960
<v Speaker 2>I also thought it was interesting that, you know, one

0:44:26.000 --> 0:44:27.400
<v Speaker 2>of the things we talk about with I feel like

0:44:27.400 --> 0:44:29.479
<v Speaker 2>everybody who comes on is like the tight labor market,

0:44:29.520 --> 0:44:31.560
<v Speaker 2>and they're dealing with that too, just quickly they are.

0:44:31.640 --> 0:44:36.000
<v Speaker 7>Yeah, they're having a lot of trouble hiring workers, especially

0:44:36.040 --> 0:44:40.440
<v Speaker 7>because many of their repo agents from pre pandemic went

0:44:40.480 --> 0:44:41.960
<v Speaker 7>to other industries.

0:44:41.560 --> 0:44:44.680
<v Speaker 2>Right, right, exactly did they try to recruit you?

0:44:45.040 --> 0:44:45.840
<v Speaker 8>Just I'm just curious.

0:44:46.160 --> 0:44:47.240
<v Speaker 7>I quite have the profile.

0:44:50.160 --> 0:44:52.880
<v Speaker 2>Unbelievable, really funny. You took us to a place that

0:44:52.920 --> 0:44:56.760
<v Speaker 2>I think nobody has really seen. Claire Valentine, she's personal

0:44:56.760 --> 0:44:59.319
<v Speaker 2>finance reporter at Bloomberg News here in studio with us,

0:44:59.400 --> 0:45:02.040
<v Speaker 2>longing till were the editor of Bloomberg Business Week, and

0:45:02.080 --> 0:45:04.080
<v Speaker 2>of course the stories we mentioned coming up in the

0:45:04.080 --> 0:45:06.720
<v Speaker 2>new issue of Bloomberg Business Week out on newsstands tomorrow,

0:45:07.160 --> 0:45:10.600
<v Speaker 2>already online at Bloomberg dot com, slash BusinessWeek and also

0:45:10.680 --> 0:45:11.920
<v Speaker 2>on the Bloomberg terminal.

0:45:12.480 --> 0:45:14.359
<v Speaker 4>Are you gonna get a python anytime soon?

0:45:14.560 --> 0:45:16.440
<v Speaker 2>Explain the song to me? Was that from the movie

0:45:16.719 --> 0:45:17.320
<v Speaker 2>It's Boys.

0:45:17.520 --> 0:45:19.239
<v Speaker 4>I was just laughing from boys to men.

0:45:19.320 --> 0:45:21.759
<v Speaker 2>I didn't anticipate boys to men playing in my ears.

0:45:21.920 --> 0:45:23.279
<v Speaker 2>Like the wedding. He wanted to get like all the

0:45:23.280 --> 0:45:24.360
<v Speaker 2>couples get up on the floor.

0:45:24.920 --> 0:45:25.719
<v Speaker 10>This is Bloomberg.

0:45:27.719 --> 0:45:34.080
<v Speaker 2>I'm brother Marc, a journal How about you let me drive?

0:45:34.600 --> 0:45:39.839
<v Speaker 8>No, no, no, no, honey, please, how do the riding gravels?

0:45:40.239 --> 0:45:41.600
<v Speaker 1>Let's wat I want to drive.

0:45:41.600 --> 0:45:45.759
<v Speaker 6>It's a good question time.

0:45:48.600 --> 0:45:50.799
<v Speaker 1>This is the drive to the Globe.

0:45:50.719 --> 0:45:51.520
<v Speaker 10>Dot com for me.

0:45:51.560 --> 0:45:55.000
<v Speaker 1>I think we'll buy around you on Bloomberg Radio.

0:45:55.280 --> 0:45:57.320
<v Speaker 2>All right, everybody, just at your eighteen minutes left in

0:45:57.360 --> 0:46:01.399
<v Speaker 2>the trading day. Really the little changed here just down

0:46:01.400 --> 0:46:03.360
<v Speaker 2>about point three percent on the DALLA. So the biggest

0:46:03.360 --> 0:46:05.560
<v Speaker 2>move on a percentage basis right now is for the

0:46:05.600 --> 0:46:09.279
<v Speaker 2>Dow Jones Industrial Average call it flat as you heard

0:46:09.320 --> 0:46:10.960
<v Speaker 2>from Charlie on the S and P and the Nasdaq

0:46:11.040 --> 0:46:13.120
<v Speaker 2>just one tenth of a percent here. Our next guest

0:46:13.160 --> 0:46:16.280
<v Speaker 2>notes that with earnings releases picking up, some companies weren't

0:46:16.320 --> 0:46:18.600
<v Speaker 2>some pretty close watching. So let's get to it with

0:46:18.600 --> 0:46:22.040
<v Speaker 2>Burns McKinney, portfolio manager at the Global Value Equity Manager

0:46:22.360 --> 0:46:26.319
<v Speaker 2>and Texas based NFJ Investment Group. He is on the

0:46:26.360 --> 0:46:29.120
<v Speaker 2>phone from Dallas, Texas. Hey, Burn's, good to have you

0:46:29.160 --> 0:46:32.920
<v Speaker 2>here with Maddie and myself. So tell me out in Texas.

0:46:32.960 --> 0:46:36.640
<v Speaker 2>What are people talking about? Yeah?

0:46:37.000 --> 0:46:39.160
<v Speaker 11>I think that people are still you know, they've we've

0:46:39.200 --> 0:46:42.359
<v Speaker 11>been talking about inflation, inflation, inflation for fuite sometime, and

0:46:42.480 --> 0:46:45.319
<v Speaker 11>it's something that you know, that's it's probably of all

0:46:45.360 --> 0:46:47.439
<v Speaker 11>the economic statistics you look at, you know, whether people

0:46:47.440 --> 0:46:49.920
<v Speaker 11>focus on GDP or earnings, it's the one thing that's

0:46:50.000 --> 0:46:51.200
<v Speaker 11>kind of right in your face and you go to

0:46:51.239 --> 0:46:53.160
<v Speaker 11>the grocery store, you see the price of Eggs. I mean,

0:46:53.239 --> 0:46:56.680
<v Speaker 11>the price of gasoline is is advertised in you know,

0:46:57.040 --> 0:46:59.680
<v Speaker 11>in five foot letters on huge designs, and so people

0:46:59.760 --> 0:47:02.319
<v Speaker 11>have been talking about inflation for quite some time. But

0:47:02.680 --> 0:47:04.640
<v Speaker 11>you know, we are starting to see a shift such

0:47:04.680 --> 0:47:07.280
<v Speaker 11>that I think the focus is kind of moving towards

0:47:07.280 --> 0:47:09.760
<v Speaker 11>the fact that the economy is starting to slow.

0:47:10.760 --> 0:47:14.000
<v Speaker 4>So talk to me Burns about the stickiness of inflation

0:47:14.239 --> 0:47:17.720
<v Speaker 4>versus the indications that you're seeing in terms of slowing.

0:47:17.760 --> 0:47:20.000
<v Speaker 4>Because I have to wonder, I know you're in Texas,

0:47:20.040 --> 0:47:22.200
<v Speaker 4>big oil state, but are you worried at all about

0:47:22.239 --> 0:47:25.160
<v Speaker 4>these OPEC cuts making inflation stickier than we might be

0:47:25.200 --> 0:47:26.479
<v Speaker 4>seen in the data right now?

0:47:28.480 --> 0:47:31.319
<v Speaker 11>Well, you know, OPEK, it really does appear that they've

0:47:31.400 --> 0:47:34.960
<v Speaker 11>kind of settled on trying to establish a cost more

0:47:35.160 --> 0:47:39.280
<v Speaker 11>for oil of around eighty dollars. That's something that probably

0:47:39.600 --> 0:47:41.560
<v Speaker 11>in many ways makes it sticky. But at the same time,

0:47:41.640 --> 0:47:44.480
<v Speaker 11>you know, that's something that as well, you know, at

0:47:44.520 --> 0:47:47.120
<v Speaker 11>some point you start lapping you know, these figures and

0:47:47.560 --> 0:47:50.760
<v Speaker 11>it no longer actually has the impact on inflation today.

0:47:50.840 --> 0:47:54.520
<v Speaker 11>But you know, really investors are focused on inflation being sticky.

0:47:54.600 --> 0:47:56.880
<v Speaker 11>You know, there's there's been a lot of consternation of

0:47:56.920 --> 0:47:59.239
<v Speaker 11>the fact that it hasn't been it's been pulling back,

0:47:59.280 --> 0:48:02.120
<v Speaker 11>but it hasn't been coming down as quickly as a

0:48:02.160 --> 0:48:04.600
<v Speaker 11>lot of forecaster, a lot of investors would would really

0:48:04.680 --> 0:48:06.360
<v Speaker 11>like to see it come down. And you know, I

0:48:06.360 --> 0:48:09.040
<v Speaker 11>think that's something that just really involves patients. You know,

0:48:09.080 --> 0:48:12.440
<v Speaker 11>they say that, you know that it took about you know,

0:48:12.480 --> 0:48:14.800
<v Speaker 11>a year and a half or so for inflation to

0:48:14.880 --> 0:48:18.800
<v Speaker 11>kind of peak, and expectations should really sort of remnage

0:48:18.800 --> 0:48:20.360
<v Speaker 11>themselves such that it might take a year and a

0:48:20.360 --> 0:48:22.440
<v Speaker 11>half for it to actually come down to prior levels,

0:48:22.600 --> 0:48:25.520
<v Speaker 11>and even then it probably won't go all the way

0:48:25.600 --> 0:48:28.479
<v Speaker 11>back down to that two percent sub to two percent level,

0:48:28.520 --> 0:48:31.399
<v Speaker 11>because you know, there are some structural factors that may

0:48:31.400 --> 0:48:33.960
<v Speaker 11>actually keep it a little bit more elevated than it's been.

0:48:34.000 --> 0:48:36.880
<v Speaker 11>You know, really, I think the primary one being just

0:48:36.960 --> 0:48:40.600
<v Speaker 11>the you know, the reversal of the globalization and and

0:48:40.840 --> 0:48:43.279
<v Speaker 11>the you know, near shoring of supply chains and may

0:48:43.360 --> 0:48:45.440
<v Speaker 11>keep prices higher. But we do think that it's probably

0:48:45.440 --> 0:48:47.160
<v Speaker 11>going to pull back and continue to pull back the

0:48:47.160 --> 0:48:47.879
<v Speaker 11>remainder this year.

0:48:47.960 --> 0:48:48.239
<v Speaker 3>All right.

0:48:48.239 --> 0:48:50.719
<v Speaker 2>What we love is when a guest comes on and

0:48:50.760 --> 0:48:52.560
<v Speaker 2>they say, we've got some names you want to talk

0:48:52.600 --> 0:48:54.799
<v Speaker 2>about because we can get into the specifics which I

0:48:54.800 --> 0:48:58.720
<v Speaker 2>think our audience really appreach it, appreciate, appreciates about around

0:48:58.719 --> 0:49:00.880
<v Speaker 2>the much you know, debate that we are having on

0:49:00.920 --> 0:49:04.040
<v Speaker 2>so many different macro issues. So, having said that, Zoetes

0:49:04.400 --> 0:49:08.480
<v Speaker 2>zts is the ticker Animal Pharmaceuticals. If you will, this

0:49:08.640 --> 0:49:10.720
<v Speaker 2>is a name that you like. It's up roughly twenty

0:49:10.719 --> 0:49:12.960
<v Speaker 2>percent so far this year. I know people spend a

0:49:13.000 --> 0:49:14.879
<v Speaker 2>lot on their pets. I know I spend a lot

0:49:14.880 --> 0:49:18.320
<v Speaker 2>of my pets. I know private equity likes the pet space.

0:49:18.480 --> 0:49:20.200
<v Speaker 2>What is it about zoetis so that.

0:49:20.160 --> 0:49:20.799
<v Speaker 5>You really like?

0:49:21.960 --> 0:49:22.160
<v Speaker 1>Sure?

0:49:22.239 --> 0:49:24.320
<v Speaker 11>Yeah, and private equity definitely does you know there was

0:49:24.560 --> 0:49:28.640
<v Speaker 11>one of the European competitor was just announced to an acquisition,

0:49:28.719 --> 0:49:32.879
<v Speaker 11>Decra Pharmaceuticals. Yeah, an acquisition was announced just earlier this week.

0:49:32.960 --> 0:49:34.880
<v Speaker 11>But yeah, I think this is the name that you know,

0:49:34.920 --> 0:49:39.120
<v Speaker 11>you're looking for companies that have the company specific you know,

0:49:39.200 --> 0:49:42.080
<v Speaker 11>benefits from long term structural tailwinds and they have a

0:49:42.080 --> 0:49:43.560
<v Speaker 11>couple of big ones. You know, this is the name

0:49:43.600 --> 0:49:45.760
<v Speaker 11>that you know for those who an't is familiar with it,

0:49:45.760 --> 0:49:49.200
<v Speaker 11>it's you know, really the leading pure play global animal

0:49:49.200 --> 0:49:51.000
<v Speaker 11>health company. It was spun out a few years back

0:49:51.040 --> 0:49:54.200
<v Speaker 11>from Pfizer, and you know, they split their business pretty

0:49:54.200 --> 0:49:58.600
<v Speaker 11>equally between what they call companion care i e. Pets

0:49:58.600 --> 0:50:01.520
<v Speaker 11>and livestock. So the two big secular trends, one of

0:50:01.560 --> 0:50:04.480
<v Speaker 11>which is you're just seeing increasing demand for global protein

0:50:04.640 --> 0:50:07.000
<v Speaker 11>as you have a growing middle class. And then on

0:50:07.040 --> 0:50:09.239
<v Speaker 11>the pet side, you're just seeing that you know, as

0:50:09.280 --> 0:50:12.000
<v Speaker 11>you know correctly noted, you know, pets are becoming increasingly

0:50:12.719 --> 0:50:16.520
<v Speaker 11>important members of people's families. And as that's happened.

0:50:16.560 --> 0:50:20.080
<v Speaker 2>Costly members and costly members families, there's been more Yeah,

0:50:20.120 --> 0:50:22.240
<v Speaker 2>there's been more penetration of medicines used for pets.

0:50:22.280 --> 0:50:24.280
<v Speaker 11>And you know, I could say for our for our household,

0:50:24.320 --> 0:50:27.040
<v Speaker 11>they probably have me forgo my meds before we would,

0:50:27.239 --> 0:50:29.480
<v Speaker 11>you know, have our cat or our dog, you know,

0:50:29.640 --> 0:50:31.880
<v Speaker 11>forego theirs. And that's something that makes it. It tends

0:50:31.880 --> 0:50:34.880
<v Speaker 11>to be defensive for that reason, and it tends to

0:50:34.880 --> 0:50:36.920
<v Speaker 11>give them pricing power, which is what you should look

0:50:36.960 --> 0:50:38.520
<v Speaker 11>for in an inflationary environment.

0:50:39.040 --> 0:50:41.560
<v Speaker 4>So talk to me about true as Financial another pick

0:50:41.600 --> 0:50:44.480
<v Speaker 4>of yours. It's a Charlotte based bank. Why why do

0:50:44.520 --> 0:50:46.840
<v Speaker 4>you like it? Because we're obsessed with the regional bank story.

0:50:46.920 --> 0:50:47.680
<v Speaker 4>So tell me more.

0:50:48.719 --> 0:50:50.799
<v Speaker 11>Yeah, this is one you know for contrarians who are

0:50:50.880 --> 0:50:53.320
<v Speaker 11>kind of looking for, you know, the proverbial babies that

0:50:53.320 --> 0:50:56.080
<v Speaker 11>have been thrown out with the bath water with respect

0:50:56.160 --> 0:51:00.040
<v Speaker 11>to you know, some of the recent banking turmoil. But

0:51:00.320 --> 0:51:03.400
<v Speaker 11>you know, for one thing, we do tell our clients

0:51:03.440 --> 0:51:05.680
<v Speaker 11>that that a lot of the turmoil that we've seen

0:51:05.680 --> 0:51:09.560
<v Speaker 11>around Silicon Valley Bank really was very company specific to them.

0:51:09.640 --> 0:51:12.160
<v Speaker 11>You know, they had some issues with hedging, hedging their

0:51:12.200 --> 0:51:16.720
<v Speaker 11>assets as well as a very concentrated deposit base, whereas

0:51:16.920 --> 0:51:18.960
<v Speaker 11>you know Truest it's uh, you know, it's now I

0:51:18.960 --> 0:51:24.359
<v Speaker 11>think the sixth largest US bank, So it does have

0:51:24.480 --> 0:51:27.880
<v Speaker 11>good diverse diversity of their clients. It was born with

0:51:28.120 --> 0:51:29.960
<v Speaker 11>the merger of bb and T and sun Trust, and

0:51:30.000 --> 0:51:32.360
<v Speaker 11>so they're located in a lot of the great places

0:51:32.600 --> 0:51:35.200
<v Speaker 11>the South, the sun Belt, where you do have good

0:51:35.280 --> 0:51:38.440
<v Speaker 11>demographic and population growth. Right now, it trades at a

0:51:38.520 --> 0:51:41.120
<v Speaker 11>discount to book value, which is a discount even to

0:51:41.160 --> 0:51:44.240
<v Speaker 11>the regional banks. You have a six percent dividend yield

0:51:44.239 --> 0:51:46.920
<v Speaker 11>that that does look pretty safe. They hiked it by

0:51:46.960 --> 0:51:50.160
<v Speaker 11>eight percent over the past year, which demonstrates management confidence

0:51:50.160 --> 0:51:53.480
<v Speaker 11>in the business. And you know, yeah, and you compare

0:51:53.520 --> 0:51:54.880
<v Speaker 11>it to you know, where there has been some of

0:51:54.920 --> 0:51:57.719
<v Speaker 11>the turmoil. You know, roughly, you know, only half of

0:51:57.800 --> 0:52:01.120
<v Speaker 11>their their deposits running shirt, which does prevent them from

0:52:01.160 --> 0:52:02.680
<v Speaker 11>having any sort of run on a bank like you

0:52:02.760 --> 0:52:04.520
<v Speaker 11>saw in Silicon.

0:52:04.239 --> 0:52:06.040
<v Speaker 2>Valance, Hey Burns. One last one I want to ask

0:52:06.080 --> 0:52:09.080
<v Speaker 2>you about, certainly because real estate is on our minds,

0:52:09.080 --> 0:52:11.040
<v Speaker 2>as you know, and wondering if that's the next shoot

0:52:11.040 --> 0:52:14.240
<v Speaker 2>a drop coming off of the bank crisis not crisis,

0:52:14.280 --> 0:52:17.600
<v Speaker 2>if you will. Alexandria real estate ticker is AR. It's

0:52:17.680 --> 0:52:22.080
<v Speaker 2>up about off about fifteen percent so far in twenty

0:52:22.080 --> 0:52:25.520
<v Speaker 2>twenty three, twenty one billion dollar market cap. They play

0:52:25.520 --> 0:52:29.360
<v Speaker 2>in the Pharmer space personal care research thirty seconds.

0:52:29.400 --> 0:52:33.040
<v Speaker 11>Why though this name, you know, it's you know right now,

0:52:33.040 --> 0:52:36.000
<v Speaker 11>it's traded about thirteen and a half time spun from operations.

0:52:36.040 --> 0:52:38.399
<v Speaker 11>You have a nice four percent dividend deals, which we love.

0:52:38.840 --> 0:52:40.719
<v Speaker 11>And what they do is they own office and lab space.

0:52:40.760 --> 0:52:43.840
<v Speaker 11>They least a pharma, biotech and diagnostics, and so you know,

0:52:43.880 --> 0:52:46.000
<v Speaker 11>sometimes people sort of misclassify it. They think of it

0:52:46.040 --> 0:52:48.839
<v Speaker 11>as being more of a real estate play, but really

0:52:48.920 --> 0:52:51.840
<v Speaker 11>it tends to trade more with the biotechs, and you know,

0:52:51.840 --> 0:52:54.759
<v Speaker 11>they have long term relationships with where there's academic institutions,

0:52:54.800 --> 0:52:56.840
<v Speaker 11>all the places you want your kids to get into college,

0:52:56.840 --> 0:52:59.680
<v Speaker 11>you know, Harvard, Stanford, Duke, as well as a lot

0:52:59.680 --> 0:53:01.160
<v Speaker 11>of the big form of companies. And they have a

0:53:01.160 --> 0:53:04.480
<v Speaker 11>great track record of growing their funds from operations every

0:53:04.560 --> 0:53:07.640
<v Speaker 11>quarter for just like five years. And so it doesn't

0:53:07.640 --> 0:53:09.719
<v Speaker 11>really trade like the reefs, and as a result it

0:53:09.719 --> 0:53:12.400
<v Speaker 11>should give investors a little bit of defensiveness in involved

0:53:12.440 --> 0:53:12.840
<v Speaker 11>the market.

0:53:12.880 --> 0:53:14.800
<v Speaker 2>All right, but as we said, down about eighteen percent

0:53:14.880 --> 0:53:18.040
<v Speaker 2>so far here in twenty twenty three, and that's after

0:53:18.120 --> 0:53:20.880
<v Speaker 2>a year. Well, we know a lot of assets classes

0:53:20.920 --> 0:53:22.600
<v Speaker 2>and assets where are really beating up?

0:53:22.600 --> 0:53:24.000
<v Speaker 10>Who was down about twenty sixty percent?

0:53:24.200 --> 0:53:27.040
<v Speaker 2>Hey Burns, thank you so much. Bernie McKinney, he's portfolio

0:53:27.120 --> 0:53:30.439
<v Speaker 2>manager at NFJ Investment Group. Joining us on a phone

0:53:30.440 --> 0:53:31.440
<v Speaker 2>from Dallas, Texas.

0:53:31.520 --> 0:53:36.640
<v Speaker 1>This is Bloomberg Radio. This is the Bloomberg Business Week Podcast.

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