WEBVTT - Pet Care Demand Post-Pandemic 

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller. Every business day, we bring

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<v Speaker 1>you interviews from CEOs, market pros, and Bloomberg experts, along

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<v Speaker 1>with essential market moving news. Find the Bloomberg Markets Podcast

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<v Speaker 1>on Apple Podcasts or wherever you listen to podcasts, and

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<v Speaker 1>at Bloomberg dot com slash podcast. All right, Matt, you'll

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<v Speaker 1>get this. People love dogs, especially the millennial generation. We're

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<v Speaker 1>Owning a pet is more common than having a kid

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<v Speaker 1>in any US cities. In fact, San Francisco is home

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<v Speaker 1>to nearly one hundred and fifty thousand dogs, but just

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<v Speaker 1>one hundred and fifteen thousand children. That's according to the

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<v Speaker 1>American Community Survey. So, uh, you know, I'm not a

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<v Speaker 1>pet person, but I know most people are, and it's

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<v Speaker 1>a big business. Uh So we're happy to welcome Aaron Easterly.

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<v Speaker 1>He's a CEO. But you don't have a dog, never

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<v Speaker 1>had a dog, never had a pet. Your poor children,

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<v Speaker 1>I know, I know that's trust movie and they've never

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<v Speaker 1>been we've never taken him to Disney. So just failure

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<v Speaker 1>on so many fronts, exactly, Aaron, thanks so much for

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<v Speaker 1>joining us forgive me for not being a pet enthusiast,

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<v Speaker 1>but talk to us about Rover, what your company is,

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<v Speaker 1>what you do, and because I know you're going public soon,

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<v Speaker 1>I believe Yeah, that's right. So Rover was founded on

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<v Speaker 1>the premise that all people should deserve the unconditional love

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<v Speaker 1>of a pet in their lives, whether it be dog

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<v Speaker 1>or cat. And we want to make it really easy

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<v Speaker 1>for people to go about their busy, modern hectic lives

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<v Speaker 1>and half pets in their lives. So we started a

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<v Speaker 1>peer to peer marketplace where people can find pet sitters

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<v Speaker 1>and dog walkers, I mean, anything else they're looking for

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<v Speaker 1>for the pet care. So how did how did your

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<v Speaker 1>business get impacted by the pandemic? UM Well tailed two

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<v Speaker 1>parts of the pandemic. The first part was was brutal.

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<v Speaker 1>People stayed indoors, that they didn't go into work, and

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<v Speaker 1>they traveled a lot less. And we're largely a travel

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<v Speaker 1>related business of what to do with your pets when

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<v Speaker 1>you leave town? Sometimes let's to do with your pets

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<v Speaker 1>when you go into work. So our business was hit

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<v Speaker 1>pretty hard. But during that same period of time, um

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<v Speaker 1>the adoption rates of pets of the annual growth rate

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<v Speaker 1>in that roughly quadruple um. So everyone during the pandemic

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<v Speaker 1>went out and got a dog or a cat, and

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<v Speaker 1>so it actually increased our addressable market and we gained

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<v Speaker 1>material share. I think at the beginning of the pandemic

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<v Speaker 1>we were about six and a half times the next

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<v Speaker 1>biggest player if you look at the third party credit

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<v Speaker 1>card data sales data um when we started our go

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<v Speaker 1>public vias back process, or roughly ten times bigger. And

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<v Speaker 1>if you look at the most recent data or something

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<v Speaker 1>about sixteen or seventeen times bigger. UM. So weirdly, the

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<v Speaker 1>pandemic heard us in the short term, but actually expanded

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<v Speaker 1>our addressable market, caused us to gain market share, and

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<v Speaker 1>we've boom coming out of it, saying records the last

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<v Speaker 1>several months. So, uh, most people know my dog Steve

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<v Speaker 1>is not just my pet. He's my very best friend

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<v Speaker 1>and and uh he's you know, been all over with

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<v Speaker 1>me from New York to Bronxville. We live in Berlin now.

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<v Speaker 1>He flew We got him a business class seed. He

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<v Speaker 1>flew with me on the plane, did we really Yeah yeah, Um,

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<v Speaker 1>he had the kosher meal, and uh he didn't drink

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<v Speaker 1>any beers because you know, you had to hold it

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<v Speaker 1>for eight hours. But for for me, the hardest thing

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<v Speaker 1>is getting these services, finding a dog walker when I

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<v Speaker 1>was single, UM or finding someone to watch Steve when

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<v Speaker 1>I was going places that didn't accept pets, and uh,

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<v Speaker 1>I've always had to rely on a mishmash of different

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<v Speaker 1>services UM and different platforms to find this. UM. I

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<v Speaker 1>can understand your popularity, but I wonder if you know

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<v Speaker 1>the popularity of pets at this point is at a

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<v Speaker 1>peak because of the pandemic. Arin do you think that

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<v Speaker 1>we're gonna see, now you know, the need to own

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<v Speaker 1>a dog kind of decline? Well, I think that if

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<v Speaker 1>you look at the pet ownership breaks in the U S,

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<v Speaker 1>they's continued to go up even before the pandemic, and

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<v Speaker 1>that's a multidecade trend, and the spend per pet continues

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<v Speaker 1>to go up. UM. I don't think that coming out

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<v Speaker 1>of the pandemic is going to reverse that. In a

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<v Speaker 1>lot of ways, I think having a dog is similar

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<v Speaker 1>to the emotional relationships sometimes people have with kids, which

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<v Speaker 1>is like, once you're in your life, you can't imagine

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<v Speaker 1>your life without them, And so I expect that will

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<v Speaker 1>be pretty similar that most people once they have their

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<v Speaker 1>furry ball of joy around them will be tough to

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<v Speaker 1>imagine life without them. All right, again, I'm not a

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<v Speaker 1>pet person. I'm an financial analyst. By the way, someone

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<v Speaker 1>writes in and says, I didn't realize Paul hated American

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<v Speaker 1>values dogs in Disney in Disney um, But I have

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<v Speaker 1>a financial analystis stock analy So talk to me about

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<v Speaker 1>your business model. How do you make money in the

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<v Speaker 1>pet business? Sure? So we take a percentage of the

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<v Speaker 1>transactions going through rover Um, typically a small percentage in

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<v Speaker 1>the range of on average um and across all of

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<v Speaker 1>our services is a small percentage. I want to be

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<v Speaker 1>in your business. Can you imagine if your stockbrokers that

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<v Speaker 1>I'll take of every trade? Well, small, I'll say, a

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<v Speaker 1>minority of the dollars going through How about that? All right?

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<v Speaker 1>So give us some some of the metrics. Is that

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<v Speaker 1>a perchase? I mean, well, what are the metrics that

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<v Speaker 1>really drive your business? Yeah? The biggest thing for our

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<v Speaker 1>business is the rate of repeats. The business is typically

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<v Speaker 1>between eight and repeat business in a given month. We

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<v Speaker 1>don't have to do a lot to drive repeat business.

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<v Speaker 1>We have incredible loyalty, so that generates really strong Uh,

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<v Speaker 1>incremental cash flow dynamics, a new customer acquisition and the

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<v Speaker 1>rate of repeat are the big drivers of our business

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<v Speaker 1>UM and then average order value UM. So most people

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<v Speaker 1>when you travel out of town maybe go for three

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<v Speaker 1>or four night time average at the mix of some

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<v Speaker 1>long trips and some small trips UM. And on average

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<v Speaker 1>overnight cares you know, roughly thirty to thirty five dollars

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<v Speaker 1>daytime care like in home daycare and dog walking is

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<v Speaker 1>about twenty Is there any plans, I mean for expansion.

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<v Speaker 1>I could think of some markets that need a platform

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<v Speaker 1>like this. For example, UM, you know, if you want

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<v Speaker 1>to adopt a dog, pet Finder kind of owns that

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<v Speaker 1>market in America. But if you want to um find

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<v Speaker 1>a breeder, it's really difficult to uh sort through all

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<v Speaker 1>the web pages and understand who's reputable and who's not.

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<v Speaker 1>I mean, it seems like there's a lot to be

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<v Speaker 1>done in this space. And obviously pets is a um

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<v Speaker 1>an industry in which people are just willing to dump cash.

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<v Speaker 1>I mean, I will pay whatever it costs for Steve. Yeah. Uh,

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<v Speaker 1>same with mine. That dog London UM lover to death

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<v Speaker 1>and she owns me. Yeah. One of the neat things

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<v Speaker 1>about our business is that there are actually relatively few

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<v Speaker 1>scale tech companies in the pet space. The pet industry

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<v Speaker 1>was associated with dot com access about twenty years ago,

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<v Speaker 1>so suffered from uh, not as much investment as it

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<v Speaker 1>could have had. And so when you think about in

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<v Speaker 1>the US tech companies that have a direct digital relationship

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<v Speaker 1>with pet owners in the seven figure range, there's basically

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<v Speaker 1>two e Amazon and Rover, and we think that puts

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<v Speaker 1>us in a really nice position to continue to expand

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<v Speaker 1>our offerings. When we started, we had just two offerings.

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<v Speaker 1>Both were overnight care boarding, which as you take your

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<v Speaker 1>dog to someone else's home and house sitting someone comes

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<v Speaker 1>to your home. And when we rolled out our daytime

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<v Speaker 1>services dog walking, drop and visit in home daycare. Aaron Easterly,

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<v Speaker 1>CEO of Rover, thanks very much. All right, let's turn

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<v Speaker 1>to cyber security. Let's turn to ransomware. We've seen a

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<v Speaker 1>lot of ransomware stories this year. Seems like they're running,

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<v Speaker 1>you know, much more frequently than we've seen in the past. Yeah, exactly,

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<v Speaker 1>even Microsoft, right, which is like if they can't defend

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<v Speaker 1>against the cyber attack, and who can It's exactly. It's

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<v Speaker 1>one thing for like the Paramount Film Studio to get hacked.

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<v Speaker 1>It's another thing for Microsoft. Patrick, I'm co founder of Ventures,

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<v Speaker 1>former head of trust and security at Dropbox and the

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<v Speaker 1>senior VP, chief Trust Officer of Salesforce joins this Patrick,

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<v Speaker 1>thanks so much for joining us. Is it my imagination

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<v Speaker 1>or are we seeing more ransomware stories on corporate America

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<v Speaker 1>and global uh, you know, corporations. It's not your mantros imagination.

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<v Speaker 1>Were absolutely seeing more on this, and I would say

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<v Speaker 1>a lot of it is tied to just the plicans

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<v Speaker 1>of the business model. It used to be if you

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<v Speaker 1>were cyber criminal in the past and you steal information,

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<v Speaker 1>you have to find them a good place and sell

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<v Speaker 1>instimate money. But nowadays are the ransomware. It's very simple.

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<v Speaker 1>Now you point and click and crypt and you can

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<v Speaker 1>go directly demonetizing by using cryptocurrency. We you know, we

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<v Speaker 1>really didn't have ransomware before cryptocurrency became a thing. Although

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<v Speaker 1>I mean, you can't really hide, um where the money

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<v Speaker 1>is going with cryptocurrency. Everyone can see on the public ledger,

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<v Speaker 1>so it seems pretty dumb in a way too. But

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<v Speaker 1>it was supposed to be you can't trace it, but

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<v Speaker 1>that was never the case. You literally can trace it

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<v Speaker 1>better than anything else in the world. I mean, it's

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<v Speaker 1>like the most traceable there. There is transparency on the transactions,

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<v Speaker 1>and there are companies that look at tracing it, but

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<v Speaker 1>the wallet owners are not known, and there are third

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<v Speaker 1>party services called tumblers that move it through many wallets,

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<v Speaker 1>rapidly splitting transactions to try to anonymize them. So true,

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<v Speaker 1>it's like shredding a paper, but you can just if

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<v Speaker 1>you want to spend the time and assume, assuming the

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<v Speaker 1>CIA and the f I have you know, hired enough

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<v Speaker 1>employees you or or or you if you want to

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<v Speaker 1>write a program, you know, Um, it just takes another

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<v Speaker 1>couple of seconds to do it. It's not I mean,

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<v Speaker 1>it is the most easily traceable thing in the world.

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<v Speaker 1>So clearly, cyber uh, cyber security isn't threatened by crypto, right,

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<v Speaker 1>it's it's that these hackers have figured out a way

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<v Speaker 1>to get in. Why can they even get into Microsoft?

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<v Speaker 1>I mean you were running security at drop Box, You're

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<v Speaker 1>in the in the tech world. Um at Salesforce. Is

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<v Speaker 1>there anyone who's unhappable? Nobody is unhappable. Uh. Yeah, At

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<v Speaker 1>the end of the day, it's a game of statistics.

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<v Speaker 1>I hate to say the larger the company is, the

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<v Speaker 1>more likely it is that you will find that one

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<v Speaker 1>mistake that was made. If all you're looking for is

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<v Speaker 1>one mistake, is the bad guy to find that entry point.

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<v Speaker 1>Once you have an entry point, you start exploring extracting

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<v Speaker 1>information what's called loving laterally, which is broadening your access

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<v Speaker 1>across the network to get into more systems until you

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<v Speaker 1>have enough critical access that you do what you need

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<v Speaker 1>to do. So it's an iterative process. It takes some time,

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<v Speaker 1>but frankly, I think you know, even decades ago, you

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<v Speaker 1>know it's it became common knowledge, at least among the

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<v Speaker 1>cyber compassentity that there is no such thing as being

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<v Speaker 1>perfectly secure. It's all about risk management and prioritization. What

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<v Speaker 1>do you think corporations should do if it's, you know,

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<v Speaker 1>if you really can't prevent a hack? What should be

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<v Speaker 1>the strategy for some of these corporations As I think

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<v Speaker 1>about kind of trying to make more their systems more secure,

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<v Speaker 1>it's I would categorize them into two things. Number one

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<v Speaker 1>is early detection and the ability to do something about it.

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<v Speaker 1>When you see an early indication of a breach coming

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<v Speaker 1>in UM, somebody has gotten into a system, you need

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<v Speaker 1>to have a timely response for that after you detected,

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<v Speaker 1>and detection, by the way, is very difficult at scale.

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<v Speaker 1>My advice is for the vast majority of companies that

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<v Speaker 1>can't build twenty four seven in house monitoring UM systems

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<v Speaker 1>and teams basically outsourced the detection part. You want somebody

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<v Speaker 1>who's watching your network seven who can have early indicators

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<v Speaker 1>that something is going wrong and block it at that

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<v Speaker 1>point in time. The second thing is, you know, let's

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<v Speaker 1>assume that doesn't happen. You need a plan for resilience. So,

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<v Speaker 1>you know, let's assume they've gotten in, they moved laterally,

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<v Speaker 1>they've encrypted a bunch of information or whatnot. You need

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<v Speaker 1>to have the ability to continue your business, and that

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<v Speaker 1>means being able to recover your information UM. A lot

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<v Speaker 1>of the advice I give folks given folks even when

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<v Speaker 1>there was a drop box, is just store things in

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<v Speaker 1>like a cloud based service like a drop box or

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<v Speaker 1>a Google Drive or Microsoft share Point, and you know,

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<v Speaker 1>they can decrypt the or they can encrypt and steal

0:12:53.040 --> 0:12:55.160
<v Speaker 1>the local copy, but they won't be able to get

0:12:55.160 --> 0:12:56.880
<v Speaker 1>to the cloud back at the stair at least not

0:12:57.080 --> 0:13:00.400
<v Speaker 1>very effectively, So that's one element, but of BEE much

0:13:00.440 --> 0:13:03.880
<v Speaker 1>more sophisticated than that. It's really building scenarios and testing

0:13:03.920 --> 0:13:06.760
<v Speaker 1>against them to make sure that you anticipate that something

0:13:06.760 --> 0:13:08.800
<v Speaker 1>like this is going to happen to your business and

0:13:08.800 --> 0:13:11.920
<v Speaker 1>that you can continue operations. What are you investing in?

0:13:12.200 --> 0:13:15.000
<v Speaker 1>You you're starting a v VC fund, What are you

0:13:15.000 --> 0:13:20.480
<v Speaker 1>looking for? We're looking very broadly. You know, my partners

0:13:20.520 --> 0:13:23.360
<v Speaker 1>J and I started send Ventures and March efficially we

0:13:23.480 --> 0:13:26.560
<v Speaker 1>raised the twinter million dollar funds, been actively investing, made

0:13:26.559 --> 0:13:31.240
<v Speaker 1>for investments already. Um, honestly, you know, we we differentiate

0:13:31.280 --> 0:13:37.080
<v Speaker 1>because we're former practitioners. We've been running cybersecurity serve functions

0:13:37.120 --> 0:13:40.280
<v Speaker 1>inside of large enterprises for twenty some one years and

0:13:40.400 --> 0:13:42.600
<v Speaker 1>that gives a slightly different perspective. So you know, what

0:13:42.640 --> 0:13:44.600
<v Speaker 1>we invest in is quite frankly, you know, when we

0:13:44.640 --> 0:13:48.640
<v Speaker 1>look at it from a CAZO security leaders perspective, we're

0:13:48.640 --> 0:13:51.080
<v Speaker 1>looking stuff and say, yeah, this would have made our

0:13:51.160 --> 0:13:53.960
<v Speaker 1>jobs much easier. This is this is a company I

0:13:53.960 --> 0:13:56.679
<v Speaker 1>would have bought as a customer in the past, So

0:13:56.840 --> 0:14:02.000
<v Speaker 1>we're looking through the perspective of buyers ones and obviously

0:14:02.160 --> 0:14:05.120
<v Speaker 1>certain things like ransomware, super interested, but it's a much

0:14:05.120 --> 0:14:07.800
<v Speaker 1>broader landscape that we look at really from the lens

0:14:07.800 --> 0:14:10.240
<v Speaker 1>of people who have been practitioners in space for quite

0:14:10.240 --> 0:14:12.520
<v Speaker 1>a long time. All Right, Patrick, thanks very much for

0:14:12.640 --> 0:14:16.520
<v Speaker 1>joining us. Totally fascinating, obviously totally fascinating topic. Great to

0:14:16.520 --> 0:14:19.760
<v Speaker 1>hear from Patrick him their co founder of sin Ventures.

0:14:22.320 --> 0:14:26.680
<v Speaker 1>Now let's talk about investing in Uh well, I guess

0:14:26.800 --> 0:14:32.560
<v Speaker 1>anti climate change. Investing to stop climate change, I guess

0:14:32.600 --> 0:14:35.240
<v Speaker 1>is the way to put it. Gabriella Herculano, there's a

0:14:35.320 --> 0:14:38.600
<v Speaker 1>CEO of i Clama, and she joins us um with

0:14:38.720 --> 0:14:41.120
<v Speaker 1>her insights on this and got me. The interesting thing

0:14:41.200 --> 0:14:44.760
<v Speaker 1>is it's not so easy to understand how to do

0:14:44.800 --> 0:14:47.800
<v Speaker 1>this correctly, right, because if you want to raise the

0:14:47.880 --> 0:14:52.040
<v Speaker 1>capital costs of those people or companies who emit too

0:14:52.160 --> 0:14:55.880
<v Speaker 1>much carbon, you also end up raising their returns thereby

0:14:55.920 --> 0:14:59.280
<v Speaker 1>giving yourself lower returns. Or I guess if you want

0:14:59.320 --> 0:15:01.160
<v Speaker 1>to say, I want to take a bet that the

0:15:01.240 --> 0:15:04.880
<v Speaker 1>government is going to change regulations so that these you know,

0:15:04.960 --> 0:15:08.480
<v Speaker 1>carbon neutral investments are going to pay off later, that's

0:15:08.520 --> 0:15:11.320
<v Speaker 1>also not really moving the needle yourself. So what do

0:15:11.360 --> 0:15:15.240
<v Speaker 1>you do? Well? Um, Well, first of all, thank you

0:15:15.280 --> 0:15:18.080
<v Speaker 1>so much. Format for having me. What we do is

0:15:18.120 --> 0:15:23.200
<v Speaker 1>we look at the companies that can can really transition us,

0:15:23.680 --> 0:15:26.680
<v Speaker 1>move us away from business as usual based on solutions

0:15:26.720 --> 0:15:32.200
<v Speaker 1>that are um high on carbon footprint. The the motivation

0:15:32.240 --> 0:15:34.960
<v Speaker 1>behind all that we do is the idea that the

0:15:35.000 --> 0:15:37.920
<v Speaker 1>best way to reduce the carbon in the atmosphere is

0:15:37.960 --> 0:15:40.480
<v Speaker 1>by not a meeting in the first place. So what

0:15:40.520 --> 0:15:44.520
<v Speaker 1>are these solutions and how do we provide investors with

0:15:44.600 --> 0:15:47.840
<v Speaker 1>a direct exposure to that. That's pretty much what we've done.

0:15:47.880 --> 0:15:52.400
<v Speaker 1>It took us almost two years to put this product together. Um,

0:15:52.760 --> 0:15:57.080
<v Speaker 1>we think that what we've done is provide exposure to

0:15:57.080 --> 0:16:01.200
<v Speaker 1>a very comprehensive set of relevance visions. And we have

0:16:01.280 --> 0:16:05.280
<v Speaker 1>a tangible metric that allows us to determine and ascertain

0:16:05.400 --> 0:16:09.800
<v Speaker 1>and quantify that relevance, which is potential avoided emissions in

0:16:09.920 --> 0:16:14.160
<v Speaker 1>diggatons of field two equivalent per year. So that's a mouthful,

0:16:14.240 --> 0:16:17.480
<v Speaker 1>but it's that idea that there is a data between

0:16:17.920 --> 0:16:20.720
<v Speaker 1>the emissions that come from you driving from point A

0:16:20.880 --> 0:16:24.560
<v Speaker 1>to point B an internal combustion engine and taking an

0:16:24.560 --> 0:16:28.800
<v Speaker 1>electric vehicle tesla right for for that same need, and

0:16:28.880 --> 0:16:31.840
<v Speaker 1>that delta is the avoidance and that's where the world

0:16:31.920 --> 0:16:34.800
<v Speaker 1>needs to go towards we need to go UM to

0:16:34.840 --> 0:16:40.120
<v Speaker 1>satisfy our needs different UH needs for electricity and needs

0:16:40.360 --> 0:16:46.080
<v Speaker 1>for transportation, for food, UM, all of those relevant ways

0:16:46.160 --> 0:16:51.200
<v Speaker 1>in terms of mitigating climate change. So, Gabby, one of

0:16:51.240 --> 0:16:53.960
<v Speaker 1>the issues that we've heard from E s G investors

0:16:54.040 --> 0:16:57.400
<v Speaker 1>is that you know, the amount available data to make

0:16:57.720 --> 0:17:01.240
<v Speaker 1>informed decisions just really isn't that good. I mean, you know,

0:17:01.360 --> 0:17:04.280
<v Speaker 1>for typical financial analysis, you want the income statement, to

0:17:04.320 --> 0:17:06.280
<v Speaker 1>balance sheet, the cash flow statement, but for E s

0:17:06.359 --> 0:17:08.560
<v Speaker 1>G you need a whole bunch of other metrics and

0:17:09.000 --> 0:17:11.720
<v Speaker 1>they're not really out there or they're not consistent. How

0:17:11.760 --> 0:17:15.440
<v Speaker 1>do you guys deal with that? Well, we we took

0:17:15.920 --> 0:17:18.639
<v Speaker 1>manage in our own hands. We we we gather the

0:17:18.680 --> 0:17:22.040
<v Speaker 1>information ourselves. Where a London day is the ginstant tact

0:17:22.480 --> 0:17:26.200
<v Speaker 1>and in Europe we have what is called EU taxonomy,

0:17:26.240 --> 0:17:29.760
<v Speaker 1>the companies whom have to report what is deemed to

0:17:29.800 --> 0:17:34.120
<v Speaker 1>be products and services that are positive in the impact

0:17:34.160 --> 0:17:38.439
<v Speaker 1>in terms of environmental um changes and benefits. So that

0:17:38.720 --> 0:17:42.120
<v Speaker 1>very long list of what these products and services are

0:17:42.520 --> 0:17:46.520
<v Speaker 1>was a very important UM guideline for us. And what

0:17:46.600 --> 0:17:49.720
<v Speaker 1>we did was we we we have we developed our

0:17:49.760 --> 0:17:53.959
<v Speaker 1>own methodology because there was no, nothing remotely close to

0:17:54.000 --> 0:17:56.639
<v Speaker 1>what we wanted to do in the marketplace. So we

0:17:56.800 --> 0:18:00.439
<v Speaker 1>vertically integrate. We created our own equity benchmarks. So we

0:18:00.520 --> 0:18:05.320
<v Speaker 1>triangulated these these UH finding the data on what is

0:18:05.359 --> 0:18:08.760
<v Speaker 1>green revenue and what is also brown revenue, and surprisingly

0:18:08.800 --> 0:18:11.600
<v Speaker 1>that data is also not there. Investors that want to

0:18:11.680 --> 0:18:15.400
<v Speaker 1>negatively screen struggle to get that information. So we looked

0:18:15.400 --> 0:18:17.920
<v Speaker 1>at the universe that is in line with these products

0:18:17.960 --> 0:18:20.639
<v Speaker 1>and services that move us away from the business as

0:18:20.720 --> 0:18:23.879
<v Speaker 1>usual right like we talked about. So we quantified the

0:18:23.920 --> 0:18:26.720
<v Speaker 1>green revenue and the brown revenue, and then we we

0:18:27.040 --> 0:18:32.040
<v Speaker 1>quantified and estimated the potential avoided emissions, which is another

0:18:32.160 --> 0:18:36.520
<v Speaker 1>very relevant UM influence for us is the framework by

0:18:36.600 --> 0:18:41.520
<v Speaker 1>mission innovation and what constitutes UH that delta, that potential

0:18:41.520 --> 0:18:44.359
<v Speaker 1>avoiding inities. So we quantify. That's why it took us

0:18:44.400 --> 0:18:48.440
<v Speaker 1>two years because we quantified. We went through all the filings,

0:18:48.720 --> 0:18:51.560
<v Speaker 1>all the public information for each of the companies are

0:18:51.560 --> 0:18:54.359
<v Speaker 1>it's about hundred and sixty nins in our universe, and

0:18:54.400 --> 0:18:57.240
<v Speaker 1>we quantify that information for each one of them. What's

0:18:57.240 --> 0:18:58.880
<v Speaker 1>the name of the e t F you're launching later

0:18:58.920 --> 0:19:05.359
<v Speaker 1>this month? UM. We we launched last Wednesday, UM launched too. Yeah, yeah,

0:19:05.520 --> 0:19:08.359
<v Speaker 1>so launching one on New York Stockaching is great. Launching

0:19:08.400 --> 0:19:11.439
<v Speaker 1>too is fantastic. UM it's called i climb a Global

0:19:11.520 --> 0:19:17.560
<v Speaker 1>Decarbonization Transition Leaders and the iclimbate Distributed Renewable Energy Transition Leaders,

0:19:17.560 --> 0:19:20.439
<v Speaker 1>which tells what we think is the most exciting story

0:19:20.560 --> 0:19:24.520
<v Speaker 1>within clean energy space, which is the decentralization of our

0:19:24.560 --> 0:19:28.359
<v Speaker 1>power systems. So we launched both least Wednesday. All right,

0:19:28.480 --> 0:19:30.840
<v Speaker 1>all right, we'll pay attention to those certainly going forward,

0:19:30.880 --> 0:19:34.240
<v Speaker 1>and certainly is G investing is a growing, growing part

0:19:34.240 --> 0:19:37.000
<v Speaker 1>of this marketplace, a lot of investor interest. Gabriella Herculano,

0:19:37.119 --> 0:19:40.240
<v Speaker 1>CEO of I Climate, joining us again talking about E

0:19:40.400 --> 0:19:42.840
<v Speaker 1>s G investing, and as I said, a lot of

0:19:42.880 --> 0:19:46.520
<v Speaker 1>folks are really interested in this UM type of investing,

0:19:46.560 --> 0:19:49.640
<v Speaker 1>and they're really pressing the companies that they own, whether

0:19:49.680 --> 0:19:52.320
<v Speaker 1>it's in their mutual funds and their et s, about

0:19:52.560 --> 0:19:56.240
<v Speaker 1>those companies UH efforts on E s G and again

0:19:56.280 --> 0:19:58.840
<v Speaker 1>there's lots of metrics, lots of grades. Even on the

0:19:58.840 --> 0:20:02.080
<v Speaker 1>Bloomberg terminal under the f A function where you have

0:20:02.080 --> 0:20:05.120
<v Speaker 1>financial analysis, you have income statement balanchee, cash flow statements,

0:20:05.160 --> 0:20:07.840
<v Speaker 1>all that kind of good stuff. Uh and bloombernk also

0:20:07.920 --> 0:20:10.800
<v Speaker 1>in that function has E s G data, so we're

0:20:10.840 --> 0:20:17.399
<v Speaker 1>a big part of that data process right there. You know,

0:20:17.440 --> 0:20:21.040
<v Speaker 1>I'm looking at Tesla t s l a U S

0:20:21.080 --> 0:20:23.199
<v Speaker 1>Equity and then I hit b Q to get that

0:20:23.240 --> 0:20:26.119
<v Speaker 1>Bloomberg quote. It's my favorite quote on the terminal for

0:20:26.240 --> 0:20:29.040
<v Speaker 1>security because it gives you just a snapshot of everything.

0:20:29.480 --> 0:20:31.199
<v Speaker 1>And I'm looking at Tessa right here, and it's up

0:20:32.320 --> 0:20:34.760
<v Speaker 1>on a trailing twelve month basis, but it's down more

0:20:34.800 --> 0:20:36.959
<v Speaker 1>than six percent here on a year to day basis.

0:20:36.960 --> 0:20:38.840
<v Speaker 1>So it feels to me like a stock that's looking

0:20:38.880 --> 0:20:42.040
<v Speaker 1>for a catalyst for that next move. And they we

0:20:42.160 --> 0:20:44.200
<v Speaker 1>have earnings for the company and for the close, and

0:20:44.240 --> 0:20:47.080
<v Speaker 1>so let's get a preview and there's no one better

0:20:47.240 --> 0:20:49.720
<v Speaker 1>than Dan Ives for that preview. Dan Ives as a

0:20:49.760 --> 0:20:52.679
<v Speaker 1>managing director Equity Research at web Bush Securities. He is

0:20:52.720 --> 0:20:56.360
<v Speaker 1>a proud alumnus of the Penn State University. Matt so

0:20:56.720 --> 0:20:59.800
<v Speaker 1>goes goes against your buck eyes every year. Dan, thanks

0:20:59.840 --> 0:21:02.520
<v Speaker 1>for joining us here. Again, I'm looking at the stock,

0:21:02.960 --> 0:21:05.240
<v Speaker 1>you know, kind of not doing much this year. What

0:21:05.359 --> 0:21:08.280
<v Speaker 1>do you think is the next catalyst for this name?

0:21:08.280 --> 0:21:12.240
<v Speaker 1>And will that catalyst come after the close tonight. Yeah,

0:21:12.280 --> 0:21:15.000
<v Speaker 1>I mean it's really been about the China story because

0:21:15.080 --> 0:21:18.240
<v Speaker 1>China is such a windpin to the test of both pieces.

0:21:18.280 --> 0:21:22.399
<v Speaker 1>That's about deliveries going into next year, and China was

0:21:22.480 --> 0:21:25.800
<v Speaker 1>chopping at this quarter in terms of pr issue safety.

0:21:25.880 --> 0:21:29.800
<v Speaker 1>That definitely had, but I'd say a negative impact on demand.

0:21:30.320 --> 0:21:33.640
<v Speaker 1>Tonight's really about Musk hand holding investors through the rest

0:21:33.680 --> 0:21:36.720
<v Speaker 1>of the year in terms of the trajectory, what China

0:21:36.840 --> 0:21:40.360
<v Speaker 1>looks like and alternately, what deliveries could be. I view

0:21:40.359 --> 0:21:43.760
<v Speaker 1>it as a positive catalysts. The stocks really under perform

0:21:43.840 --> 0:21:46.120
<v Speaker 1>this year after what was the story to Yere last year.

0:21:46.480 --> 0:21:49.040
<v Speaker 1>My view to three years out in the green tidalway,

0:21:49.160 --> 0:21:50.720
<v Speaker 1>this continues to being one of the best ways to

0:21:50.760 --> 0:21:55.640
<v Speaker 1>play it. You know, I look through um your recommendations, Dan,

0:21:55.880 --> 0:22:00.679
<v Speaker 1>and you are just crushing it on every other stock

0:22:01.040 --> 0:22:03.879
<v Speaker 1>that that you cover. You have a big universe and

0:22:03.920 --> 0:22:09.639
<v Speaker 1>you're beating your peers almost across the board. The only

0:22:10.119 --> 0:22:12.960
<v Speaker 1>I mean, you're still beating your peers on Tesla, but

0:22:13.200 --> 0:22:16.480
<v Speaker 1>still it's down and you have a thousand dollar price target.

0:22:16.520 --> 0:22:18.520
<v Speaker 1>What do they do wrong or were they not do that?

0:22:18.560 --> 0:22:22.680
<v Speaker 1>You expected? What was the unexpected move from Tesla. Yeah,

0:22:22.680 --> 0:22:25.080
<v Speaker 1>and I think when we make these calls and over

0:22:25.119 --> 0:22:28.040
<v Speaker 1>the last you know called twenty plus years, I I

0:22:28.080 --> 0:22:30.320
<v Speaker 1>don't like to look at stocks over a quarter or two, right,

0:22:30.480 --> 0:22:32.879
<v Speaker 1>it's the longer term thesis. And I think when you

0:22:32.920 --> 0:22:35.240
<v Speaker 1>look at tests for the first part of the thesis

0:22:35.240 --> 0:22:39.040
<v Speaker 1>played out last year, but so far this year, China

0:22:39.119 --> 0:22:41.720
<v Speaker 1>is underperformed. And that's why the stocks on the perform

0:22:41.800 --> 0:22:43.960
<v Speaker 1>as long as you know, when when you have all

0:22:44.000 --> 0:22:47.040
<v Speaker 1>these competitors coming in the e V landscape, from the

0:22:47.040 --> 0:22:50.960
<v Speaker 1>traditional the GM, FORD, b W to the startups, that's

0:22:50.960 --> 0:22:54.960
<v Speaker 1>put a perception almost an overhang issue comes down to China.

0:22:55.440 --> 0:22:57.960
<v Speaker 1>And I think what's been a bit surprising is what

0:22:58.040 --> 0:23:02.800
<v Speaker 1>we saw this quarter. I mean China was disappointing early on.

0:23:02.920 --> 0:23:05.240
<v Speaker 1>I think they started to get their sea legs back,

0:23:05.320 --> 0:23:08.160
<v Speaker 1>have momentum going the second half of the year, and

0:23:08.200 --> 0:23:10.680
<v Speaker 1>this will go up and down. With China. We think up.

0:23:10.800 --> 0:23:14.040
<v Speaker 1>We view it as more of a speed bump rad

0:23:14.160 --> 0:23:17.200
<v Speaker 1>in the start of a more structural negative. That's why

0:23:17.200 --> 0:23:20.280
<v Speaker 1>I think we start to hear tonight, Dan, you mentioned

0:23:20.320 --> 0:23:22.600
<v Speaker 1>some of the new competitors coming into the marketplace, and

0:23:22.640 --> 0:23:24.760
<v Speaker 1>again the big players, the big oms that we've been

0:23:24.800 --> 0:23:28.439
<v Speaker 1>waiting for. How do you think about Tesla going up

0:23:28.480 --> 0:23:30.399
<v Speaker 1>against the g m s and the vws of the

0:23:30.400 --> 0:23:32.399
<v Speaker 1>world is a and the Mercedes even you know what,

0:23:32.480 --> 0:23:35.320
<v Speaker 1>we saw some news recently as they really start to

0:23:35.320 --> 0:23:38.000
<v Speaker 1>put some serious money behind their e M or e

0:23:38.119 --> 0:23:41.000
<v Speaker 1>V efforts. Yea. And why aren't they worth that much?

0:23:41.520 --> 0:23:45.160
<v Speaker 1>I mean, you know, why is GM worth only eight billion? Folkswagen,

0:23:45.280 --> 0:23:48.520
<v Speaker 1>the biggest carmaker in the world, which has such illustrious

0:23:48.560 --> 0:23:51.359
<v Speaker 1>brands as Porsche and Audi, They're only worth a hundred

0:23:51.680 --> 0:23:56.280
<v Speaker 1>four billion dollars and Tesla's worth six fifty. It's a

0:23:56.320 --> 0:23:59.080
<v Speaker 1>great question, and that's why. Look it's our view and

0:23:59.320 --> 0:24:02.040
<v Speaker 1>take a step back. Can you get b W forward

0:24:02.080 --> 0:24:05.200
<v Speaker 1>and especially GM? I believe a lot of these thoughts

0:24:05.280 --> 0:24:08.280
<v Speaker 1>over the coming years get rerated, not just today, their

0:24:08.320 --> 0:24:11.280
<v Speaker 1>auto companies from twather viewed by investors more and more

0:24:11.359 --> 0:24:15.320
<v Speaker 1>start to get disruptive technology multiple because their success and EVS.

0:24:15.720 --> 0:24:18.080
<v Speaker 1>Especially when I look at GM, I think that's a

0:24:18.160 --> 0:24:20.720
<v Speaker 1>name that could be significantly higher as it gets rerded

0:24:20.760 --> 0:24:24.000
<v Speaker 1>on the conversion to e V s and and ultimately

0:24:24.040 --> 0:24:28.560
<v Speaker 1>today automobiles in the US or electric vehicle. So I

0:24:28.600 --> 0:24:31.920
<v Speaker 1>don't view this as necessarily zero sum game. I think

0:24:31.960 --> 0:24:36.160
<v Speaker 1>you're gonna see a lot of beneficiary tests, a disproportional beneficiary,

0:24:36.640 --> 0:24:38.919
<v Speaker 1>but no doubt you are going to start to see

0:24:39.040 --> 0:24:42.520
<v Speaker 1>some share games from the traditional players as part of

0:24:42.520 --> 0:24:45.840
<v Speaker 1>this green tidal wave. Dan, let's focus a little bit

0:24:45.920 --> 0:24:48.959
<v Speaker 1>on the income statement here, some boring old pen l stuff.

0:24:49.720 --> 0:24:54.720
<v Speaker 1>Does Tesla make a profit on an individual unit basis

0:24:54.800 --> 0:24:57.800
<v Speaker 1>just excluding any kind of credits or anything like that,

0:24:57.840 --> 0:25:00.480
<v Speaker 1>And if not, when you expect that to happen, Yeah,

0:25:00.560 --> 0:25:03.240
<v Speaker 1>not yet, and and that and that goes to the

0:25:03.280 --> 0:25:07.680
<v Speaker 1>emotional bold bear thesis. Because of the ev tax credits

0:25:07.680 --> 0:25:10.359
<v Speaker 1>and because of some of those other talents, that's how

0:25:10.359 --> 0:25:14.120
<v Speaker 1>they show profitability. But as we go into the next

0:25:14.200 --> 0:25:17.560
<v Speaker 1>few years, we believe they will be profitable as a

0:25:17.560 --> 0:25:20.640
<v Speaker 1>car company, right, not just from an EVY tax credit perspective.

0:25:20.680 --> 0:25:22.879
<v Speaker 1>And I think it's always been a forest through the

0:25:22.960 --> 0:25:26.080
<v Speaker 1>tree type name where you have to sort of look out,

0:25:26.359 --> 0:25:30.119
<v Speaker 1>especially because of China and where we are, especially on

0:25:30.119 --> 0:25:32.359
<v Speaker 1>the software piece, that you're seeing more and more of

0:25:32.400 --> 0:25:35.840
<v Speaker 1>the software upgrades, which flows to the bottom line. That's

0:25:35.840 --> 0:25:39.680
<v Speaker 1>gonna be a major catalyst for Tesla to really see

0:25:39.720 --> 0:25:41.240
<v Speaker 1>the green and I think a lot of it is

0:25:41.280 --> 0:25:44.080
<v Speaker 1>the red and the rearview mirror, and that's been something

0:25:44.119 --> 0:25:46.560
<v Speaker 1>that we've seen really play out over the last few years.

0:25:46.600 --> 0:25:48.320
<v Speaker 1>If you go back to what's played out in the

0:25:48.400 --> 0:25:51.840
<v Speaker 1>in the Tesla thesis, what's your biggest conviction of all

0:25:51.880 --> 0:25:54.880
<v Speaker 1>the You've got a lot of outperforms here, and granted

0:25:54.920 --> 0:25:59.359
<v Speaker 1>they've all done really well. Um, which one do you

0:25:59.400 --> 0:26:03.840
<v Speaker 1>like the best? It's that company at a Cupertino Apple.

0:26:03.920 --> 0:26:07.720
<v Speaker 1>I mean that's the one where when I just think

0:26:07.760 --> 0:26:10.800
<v Speaker 1>about where we are in the upgrade cycle, what i'll

0:26:10.840 --> 0:26:15.280
<v Speaker 1>call it supercycle thesis going into five G services, that

0:26:15.320 --> 0:26:18.640
<v Speaker 1>continues to get rerated and I think the year from

0:26:18.640 --> 0:26:20.679
<v Speaker 1>now we're going at three trillion dollar mark cap, and

0:26:20.720 --> 0:26:24.000
<v Speaker 1>that continues to be the one along with of course

0:26:24.040 --> 0:26:27.639
<v Speaker 1>Microsoft is a core cloud play. It's how you play

0:26:27.760 --> 0:26:30.920
<v Speaker 1>this tech thesis and really fourth in Dusher Revolution play

0:26:31.000 --> 0:26:33.760
<v Speaker 1>out all right, Well, never reminds me I need to

0:26:33.760 --> 0:26:36.320
<v Speaker 1>go get a new iPhone. Actually, that's hey, Dan can

0:26:36.520 --> 0:26:38.760
<v Speaker 1>He's got these recommendations. He knows how to frame them.

0:26:38.880 --> 0:26:40.560
<v Speaker 1>I love the a on our page for him. It

0:26:40.920 --> 0:26:45.800
<v Speaker 1>looks a plus for Dan Eyes from Wedbush Securities, this

0:26:46.760 --> 0:26:50.719
<v Speaker 1>is Bloomberg. Thanks for listening to the Bloomberg Markets podcast.

0:26:51.119 --> 0:26:54.320
<v Speaker 1>You can subscribe and listen to interviews with Apple Podcasts

0:26:54.440 --> 0:26:58.360
<v Speaker 1>or whatever podcast platform you prefer. I'm Matt Miller. I'm

0:26:58.400 --> 0:27:01.880
<v Speaker 1>on Twitter at Matt Miller nineteen seventy three. And I'm

0:27:01.880 --> 0:27:04.960
<v Speaker 1>Fall Sweeney. I'm on Twitter at pt Sweeney. Before the podcast,

0:27:05.000 --> 0:27:07.480
<v Speaker 1>you can always catch us worldwide at Bloomberg Radio