WEBVTT - Netflix's Subscriber Growth and Tesla Earnings

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<v Speaker 1>We're from Mahard. We're Innovations, Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>I'm Caroline Heid at Bloomberg's world headquarters in New York.

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<v Speaker 4>And I'm Ed Ludlow in San Francisco. This is Bloomberg Technology.

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<v Speaker 3>Back together again, coming up at full earnings coverage. Of course,

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<v Speaker 3>Netflix its sours after posting its biggest subscriber growth since

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<v Speaker 3>the pandemic.

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<v Speaker 4>Details ahead plus sticking with earnings will break down the

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<v Speaker 4>results from Europe's most valuable tech company. And here from

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<v Speaker 4>the ASML CEO himself.

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<v Speaker 3>And we push your head to the results out after

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<v Speaker 3>the bell and partake a bit of a game of bingo,

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<v Speaker 3>but this time you'll have to listen into the Tesla

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<v Speaker 3>earnings call to win all that and.

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<v Speaker 5>So much more ahead.

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<v Speaker 3>Meanwhile, let's check in on these earnings in these markets,

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<v Speaker 3>because look, we are seeing reprieve money pouring into the

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<v Speaker 3>US stock market on the back of technology managing to

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<v Speaker 3>outperform in terms of earnings.

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<v Speaker 5>Yes, we'll dig into Netflix in a moment.

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<v Speaker 3>NASA up more than one point one percent on the

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<v Speaker 3>back of it now interesting, we're all thinking about China

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<v Speaker 3>about whether or not stimulus is indeed to come. They

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<v Speaker 3>signal that they will reduce those rates that are.

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<v Speaker 5>Held by the banks.

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<v Speaker 3>Reserve requirements are going to come down in the next

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<v Speaker 3>couple of weeks. We see the stock market reaction. I'm

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<v Speaker 3>highlighting what's happening on the Nasdak Golden Dragon. At the moment,

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<v Speaker 3>we're up two point six percent for the Chinese stocks.

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<v Speaker 3>Now we're seeing bond market pretty lackluster on the day

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<v Speaker 3>as we see some pretty strong data here in the

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<v Speaker 3>United States. We want to see what's happening in the

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<v Speaker 3>world a bitcoin there, because what a tory ride we've

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<v Speaker 3>had of late. Yes, we seem to have traveled and

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<v Speaker 3>arrived and now sell off. But today we're actually up

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<v Speaker 3>up again two percent.

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<v Speaker 5>We're at fully thousand, holding out that sort of level

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<v Speaker 5>at the moment.

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<v Speaker 6>Ed.

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<v Speaker 5>But let's dig into the micro what's happening on your.

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<v Speaker 4>End, Yeah, a lot going on in single names, specifically

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<v Speaker 4>in the earnings context. Texas Instruments is the biggest maker

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<v Speaker 4>of analog chips. He gave the sales outlook that Frank

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<v Speaker 4>makes us worried that the slump in industrial Semis is continuing.

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<v Speaker 4>These are the most basic chips that do vital functions

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<v Speaker 4>and that stock down two point four percent ASML Europe's

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<v Speaker 4>most valuable tech company. These are the European listed shares.

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<v Speaker 4>Its orders tripled in the cord have just gone the

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<v Speaker 4>shehare reaction obviously positive up nine percent. We will hear

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<v Speaker 4>from the CEO in due course. Tesla after the bell

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<v Speaker 4>up one point four percent, but it's been the biggest

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<v Speaker 4>points drag on the S and P five hundred so

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<v Speaker 4>far in twenty twenty four. The focus how many evs

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<v Speaker 4>are going to build this year and rounding it off

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<v Speaker 4>Microsoft by the way up one percent. I just put

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<v Speaker 4>it there because as it stands, it's just a crossed

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<v Speaker 4>once again the three trillion market cap mark. That's more

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<v Speaker 4>of a public service announcement on that one. Meta has

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<v Speaker 4>hit a key milestone though, and it's a stock that's

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<v Speaker 4>really interesting ahead of earnings. Its gain has taken its

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<v Speaker 4>market cap to one trillion dollars for the first time

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<v Speaker 4>in around two years. We've passed the year of efficiency.

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<v Speaker 4>That's in the rear view mirror. Earning coming up. We

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<v Speaker 4>have a mixed narrative right now about the ad space.

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<v Speaker 4>But finally, this is a stock starting to get some

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<v Speaker 4>credit I think for its AI story. We'll come back

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<v Speaker 4>to that later in the program and later in the

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<v Speaker 4>week as well.

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<v Speaker 3>Meanwhile, we've got to get straight to it and on

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<v Speaker 3>what is dictating trades, certainly in terms of the direction

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<v Speaker 3>of travel from the Netflix move and into the NASDAG

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<v Speaker 3>more broadly, shares popping after those companies' numbers, we really

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<v Speaker 3>did see the biggest jump in new subscribers since the pandemic.

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<v Speaker 5>We've got to dig into the details.

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<v Speaker 3>Geta Raganathan's with us from Lummeg Intelligence, and we were

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<v Speaker 3>blown away by subscriber growth and indeed by seemingly the

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<v Speaker 3>advertising jugnaut really starting to pay off.

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<v Speaker 5>Now is that what's working?

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<v Speaker 7>I mean, everything seems to be working, Caroline. So obviously, yes,

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<v Speaker 7>we did see those huge subscriber numbers, and I think

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<v Speaker 7>what really is kind of giving the street and the

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<v Speaker 7>market so much of confidence in this whole story is

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<v Speaker 7>that you have all of these growth drivers in place. Yes,

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<v Speaker 7>you know they're advertising to your has kind of kicked off.

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<v Speaker 7>It got off to a little bit of a slow start,

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<v Speaker 7>but remember they only have it in about twelve markets,

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<v Speaker 7>so it really has to kind of gain much greater traction,

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<v Speaker 7>and they're going to do exactly that they've invested now

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<v Speaker 7>in this whole raw programming deal. So we should start

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<v Speaker 7>the start to see the advertising tier kind of become

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<v Speaker 7>much more material in revenue starting at least in twenty

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<v Speaker 7>twenty five. But as of right now, it's the Paige sharing,

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<v Speaker 7>it's the password sharing crackdown that is kind of really

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<v Speaker 7>really working and working very well. And it wasn't just

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<v Speaker 7>the four y U results, it's the guidance for twenty

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<v Speaker 7>twenty four that kind of I think blew everybody away.

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<v Speaker 4>All right, Geeterrang and Nathan Bloomberg Intelligence technology analysts, thank

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<v Speaker 4>you so much. Just keep the conversation going with Rich

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<v Speaker 4>Greenfield Partner and media and technology analysts at light Shed

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<v Speaker 4>Partners and Rich. When I went through the numbers more deeply,

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<v Speaker 4>there's the thirteen point one million new subs, but five

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<v Speaker 4>million of those came from the emir region. So it's interesting,

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<v Speaker 4>what do you think are those drivers, those growth drivers

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<v Speaker 4>that Geeta was talking about.

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<v Speaker 8>I mean, you have a few sort of what I

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<v Speaker 8>would call the perfect storm if you think about what's

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<v Speaker 8>happening right now. Ed one Obviously, all of the companies,

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<v Speaker 8>the legacy media companies, whether we're talking Disney or Warner Brothers,

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<v Speaker 8>Discovery or Paramount or comcass like, they're all pulling back

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<v Speaker 8>on their streaming efforts.

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<v Speaker 1>You know, they've all.

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<v Speaker 8>Sort of shifted into let's cut costs, let's raise the price,

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<v Speaker 8>let's cut back on marketing. And so the competitive landscape

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<v Speaker 8>for Netflix is far less intense.

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<v Speaker 1>Than it was.

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<v Speaker 8>You know, I think we had this brief period of

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<v Speaker 8>time during the pandemic where everyone in legacy media, cable

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<v Speaker 8>network media world thought like getting into streaming was easy.

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<v Speaker 8>Now they're realizing it is really hard. The markets are

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<v Speaker 8>no longer paying for subs. They want to see profitability,

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<v Speaker 8>so they're all pulling back. So number one, competition is

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<v Speaker 8>lessening for Netflix. Number two, you know, I think the

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<v Speaker 8>reality is that Netflix investing in lower costs here, you know,

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<v Speaker 8>getting and advertising having a lower cost service is making

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<v Speaker 8>a very big difference. And then I think three, one

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<v Speaker 8>of the amazing things that you're in right now is

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<v Speaker 8>as the legacy media companies pull back on their own

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<v Speaker 8>streaming efforts, they're seeing their legacy businesses cable television really

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<v Speaker 8>under pressure.

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<v Speaker 1>They're licensing more content.

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<v Speaker 8>You know, just last night you saw Warner Brothers Discoveries

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<v Speaker 8>ABO licensing Sex and the City to Netflix, like everything

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<v Speaker 8>is for sale, and so the amount of content flowing

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<v Speaker 8>onto Netflix is exploding. We've really come full circle. It's

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<v Speaker 8>like back to the future day Flix. Remember a five

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<v Speaker 8>years ago everything was on Netflix from third party companies

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<v Speaker 8>and then there was nothing, And now we're really right

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<v Speaker 8>back to it.

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<v Speaker 1>We're back to that.

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<v Speaker 8>You know, the heroin needle is back in the arm,

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<v Speaker 8>like they can't get off of the drug of licensing

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<v Speaker 8>content to Netflix they needed for survival right now. And

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<v Speaker 8>so Netflix is in this position where they've got more

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<v Speaker 8>content than ever before, and the competitive dynamic is less

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<v Speaker 8>than in years, and they've got a cheaper service with

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<v Speaker 8>advertising to offer to consumers. That perfect state is why

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<v Speaker 8>Netflix had their second best net ad quarter in the

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<v Speaker 8>company's history.

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<v Speaker 3>Okay, so rich, what therefore is priced in? Before we

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<v Speaker 3>get into basically what seems to be a bit of

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<v Speaker 3>a blood bath and the rest of the competitive landscape,

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<v Speaker 3>What about the leaderhip position that Deutsche Bank at the

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<v Speaker 3>moment is saying is fully priced into the stock at

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<v Speaker 3>these levels?

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<v Speaker 9>Is it?

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<v Speaker 5>How much further can we run.

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<v Speaker 1>The Internet is generally winner take most.

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<v Speaker 8>I was just listening to one of your colleagues talk about,

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<v Speaker 8>you know, Meta getting back to a trillion dollar market cap.

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<v Speaker 1>You know, we there is I think tremendous room to run.

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<v Speaker 8>You know, Netflix is still you know, you're still looking

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<v Speaker 8>at a company that there's no reason why they can't

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<v Speaker 8>add hundreds of millions of subscribers. I mean the fact

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<v Speaker 8>that they added thirteen million subscribers in a quarter. I

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<v Speaker 8>mean there now it's sept million subscribers in the US.

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<v Speaker 8>You know, I think people not too long ago thought

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<v Speaker 8>the US was tapped out. Now they're growing the US

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<v Speaker 8>nicely again, and I think all signs point to them

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<v Speaker 8>getting to eighty to ninety million subs over time.

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<v Speaker 1>Europe. You mentioned there's huge growth opportunities in Europe.

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<v Speaker 8>So I think the reality is now that they have

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<v Speaker 8>a lower cost product, and you know, they have an

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<v Speaker 8>advertising tier in markets that represent eighty percent of AD

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<v Speaker 8>dollars worldwide, So there's tremendous potential to accelerate growth. I

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<v Speaker 8>don't think the growth story is over at all, and

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<v Speaker 8>I think the most important thing to think about is

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<v Speaker 8>that competitive dynamic eases. That's going to fuel Netflix, and

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<v Speaker 8>the real question should be what happens to all these

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<v Speaker 8>other companies, whether it's Disney or Warner Brothers or Paramount

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<v Speaker 8>well Rich.

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<v Speaker 4>We discussed that twenty four hours ago in the context

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<v Speaker 4>of the WWE deal, right. It answers all of the

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<v Speaker 4>points you've just made in that it's raw in the US,

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<v Speaker 4>but exclusivity and all the other properties outside the US.

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<v Speaker 6>Where's Disney and ESPN?

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<v Speaker 4>I don't see them doing deals like the one which

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<v Speaker 4>surprised us between Netflix and TKO.

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<v Speaker 8>The reality is these companies can't compete, you know, they

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<v Speaker 8>just don't.

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<v Speaker 1>They're trying to balance their.

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<v Speaker 8>Legacy media assets, whether that's cable networks or linear broadcast

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<v Speaker 8>TV networks and TV stations.

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<v Speaker 1>They're all trying to balance and so the result.

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<v Speaker 8>Is is those businesses which are very profitable decline. They

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<v Speaker 8>don't have the same dollars to invest in streaming, and

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<v Speaker 8>so they're all scaling back. And so the real question

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<v Speaker 8>that I think we should be asking, you know, we've

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<v Speaker 8>got all of the major media companies reporting over the

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<v Speaker 8>next couple of weeks, and I'm sure you're going to

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<v Speaker 8>be discussing it, you know, Ed and Caroline the question is,

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<v Speaker 8>why are you still doing streaming?

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<v Speaker 1>Like should you just give up?

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<v Speaker 8>Like is there a path to building a scaled global

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<v Speaker 8>streaming platform that really makes meaningful dollars? Or are you

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<v Speaker 8>kidding yourself? And you're sort of just in that denial phase.

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<v Speaker 8>And I think that's the real sort of you know,

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<v Speaker 8>if you think about what's going on in boardrooms right now.

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<v Speaker 8>You woke up this morning and you're like, holy cow,

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<v Speaker 8>they added thirteen million subs. They're already at this massive scale,

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<v Speaker 8>and they're growing at multiples of how fast we're growing.

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<v Speaker 8>They're investing more, we're cutting back, Like, why are we

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<v Speaker 8>doing this? Should we be in the peacock business? Should

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<v Speaker 8>paramount plus exist?

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<v Speaker 1>We believe?

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<v Speaker 10>Know?

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<v Speaker 8>How soon do these executives figure out what we believe they.

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<v Speaker 3>Should do if we don't hear at this earnings and

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<v Speaker 3>we do still see the fight on when it comes

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<v Speaker 3>to more broadly, the world of streaming is now Netflix

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<v Speaker 3>basically a global TV hasn't already got that rich.

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<v Speaker 1>It feels Carolyn, like you've hit escape velocity. I mean,

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<v Speaker 1>it really feels that way now.

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<v Speaker 8>I will say there's probably a time by pre pandemic,

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<v Speaker 8>I think there was a point in time where people

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<v Speaker 8>felt the same, including myself, about Netflix, and then everyone

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<v Speaker 8>called into question because they saw what was happening during

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<v Speaker 8>the pandemic where everyone you know, Disney Plus exploded and

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<v Speaker 8>Max HBO Maxit when it was called that at the

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<v Speaker 8>time was exploding. I think everyone got very excited that

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<v Speaker 8>this was easy to replicate. I think now you're they're

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<v Speaker 8>all realizing that they are not capable. They don't have

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<v Speaker 8>the resources, technical knowledge, commitment to the business, and so

0:11:11.600 --> 0:11:14.920
<v Speaker 8>I do feel like Netflix is at that escape velocity,

0:11:14.960 --> 0:11:17.880
<v Speaker 8>and I think the only question is how much money

0:11:18.160 --> 0:11:20.960
<v Speaker 8>are these big media companies going to torch on streaming

0:11:21.200 --> 0:11:24.439
<v Speaker 8>before they realize this is just not what they do well.

0:11:24.760 --> 0:11:27.520
<v Speaker 8>They actually just make great content and they should focus

0:11:27.559 --> 0:11:30.280
<v Speaker 8>on harvesting as much cash out of that business and

0:11:30.360 --> 0:11:32.960
<v Speaker 8>not try to be a platform. That's probably where we

0:11:33.160 --> 0:11:35.880
<v Speaker 8>end up by the end of twenty four with several

0:11:35.920 --> 0:11:37.440
<v Speaker 8>of these companies, they're just going to.

0:11:37.480 --> 0:11:38.160
<v Speaker 1>Have to give up.

0:11:38.480 --> 0:11:40.560
<v Speaker 3>Rich Greenfield always great to have some time with you,

0:11:40.679 --> 0:11:42.160
<v Speaker 3>Lightshed partners, me thank you.

0:11:42.679 --> 0:11:45.480
<v Speaker 11>This is not your typical victory speech, but let's not

0:11:45.679 --> 0:11:49.040
<v Speaker 11>have somebody take a victory when she had a very

0:11:49.040 --> 0:11:49.600
<v Speaker 11>bad night.

0:11:49.840 --> 0:11:54.920
<v Speaker 10>This race is far from over. There are dozens of states.

0:11:54.440 --> 0:11:55.160
<v Speaker 5>Left to go.

0:11:56.400 --> 0:11:59.560
<v Speaker 3>Former President Trump and fellow contender Nikki Haley there after

0:11:59.600 --> 0:12:01.960
<v Speaker 3>the result came out, of course from mex Kayley lines

0:12:02.080 --> 0:12:04.800
<v Speaker 3>was all across them in the real time. You now

0:12:04.880 --> 0:12:07.679
<v Speaker 3>coming to us from Manchester, New Hampshire the morning after

0:12:07.800 --> 0:12:10.079
<v Speaker 3>the primary to give us basically the details on the

0:12:10.120 --> 0:12:13.120
<v Speaker 3>vote and also how the internet technology is intertwined into

0:12:13.120 --> 0:12:13.480
<v Speaker 3>all of this.

0:12:15.800 --> 0:12:18.240
<v Speaker 12>Well, Caroline, the details of this vote were Trump won

0:12:18.360 --> 0:12:20.800
<v Speaker 12>by a double digit margin, maybe not the margin we

0:12:20.840 --> 0:12:23.760
<v Speaker 12>expected going into primary day, but by eleven points, so

0:12:23.800 --> 0:12:26.840
<v Speaker 12>not necessarily the strong second place, showing that Nikki Haley

0:12:27.040 --> 0:12:29.520
<v Speaker 12>and her supporters were looking for. Nonetheless, she says she

0:12:29.600 --> 0:12:31.760
<v Speaker 12>is going to stay in this race, go to the

0:12:31.800 --> 0:12:34.280
<v Speaker 12>next real contest that she wants to compete in her

0:12:34.280 --> 0:12:37.199
<v Speaker 12>home state of South Carolina, where she served as governor.

0:12:37.200 --> 0:12:40.080
<v Speaker 12>That primary is on February twenty fourth. The issue is

0:12:40.320 --> 0:12:43.560
<v Speaker 12>she's pulling more than thirty points below Trump in her

0:12:43.559 --> 0:12:45.360
<v Speaker 12>home state, and over the course of the next four

0:12:45.400 --> 0:12:48.200
<v Speaker 12>weeks attacks against her in South Carolina and elsewhere could

0:12:48.200 --> 0:12:52.239
<v Speaker 12>only intensify, as will likely calls from the Republican establishment

0:12:52.280 --> 0:12:54.360
<v Speaker 12>to fall in line behind Trump. As he is at

0:12:54.360 --> 0:12:57.360
<v Speaker 12>this point the presumptive Republican nominee. Of course, this tease

0:12:57.440 --> 0:13:00.520
<v Speaker 12>us up. Given Haley's very difficult rode ahead, very hard

0:13:00.520 --> 0:13:02.240
<v Speaker 12>to see how she is a passed to the nomination

0:13:02.360 --> 0:13:05.160
<v Speaker 12>for a rematch of the twenty twenty election, Donald Trump

0:13:05.400 --> 0:13:08.480
<v Speaker 12>versus incumbent President Joe Biden. Now, the Biden campaign seems

0:13:08.480 --> 0:13:11.560
<v Speaker 12>like it's welcoming this development. They have always wanted to

0:13:11.640 --> 0:13:14.920
<v Speaker 12>have a general election against former President Trump because Biden

0:13:14.960 --> 0:13:17.960
<v Speaker 12>has beaten him once before, obviously in twenty twenty. But

0:13:18.000 --> 0:13:20.600
<v Speaker 12>of course Biden was in some ways not officially on

0:13:20.640 --> 0:13:23.720
<v Speaker 12>the ballot here in New Hampshire as well. The Democratic Party,

0:13:23.760 --> 0:13:26.240
<v Speaker 12>together with the President, have decided that the first primary

0:13:26.320 --> 0:13:29.280
<v Speaker 12>should be in South Carolina, not here in New Hampshire,

0:13:29.320 --> 0:13:30.920
<v Speaker 12>so he was not on the ballot. Instead, there was

0:13:30.960 --> 0:13:33.960
<v Speaker 12>a write in campaign for him here, while other candidates

0:13:34.040 --> 0:13:37.600
<v Speaker 12>like the Democratic Congressman from Minnesota, Dean Phillips, were actually

0:13:37.640 --> 0:13:40.360
<v Speaker 12>on the ballot. Biden won, though in a decisive victory

0:13:40.360 --> 0:13:42.720
<v Speaker 12>really historic for a write in campaign, more than seventy

0:13:42.760 --> 0:13:45.800
<v Speaker 12>percent of the vote, while Dean Phillips got around twenty percent.

0:13:45.840 --> 0:13:48.079
<v Speaker 12>What was interesting, though, guys, and this relates to your

0:13:48.120 --> 0:13:50.840
<v Speaker 12>program here on Bloomberg Technology is right before the primary,

0:13:50.880 --> 0:13:53.959
<v Speaker 12>a wobo call AI generated with the voice of Joe

0:13:54.000 --> 0:13:57.440
<v Speaker 12>Biden was making phone calls to voters here saying to

0:13:57.480 --> 0:14:00.720
<v Speaker 12>hold their vote until November, essentially in coouraging them not

0:14:00.760 --> 0:14:03.360
<v Speaker 12>to go out and write in the name of the president.

0:14:03.400 --> 0:14:05.920
<v Speaker 12>We asked the Congressman Dean Phillips about that a few

0:14:06.000 --> 0:14:08.520
<v Speaker 12>days ago when that news broke. He didn't know anything

0:14:08.559 --> 0:14:10.800
<v Speaker 12>about who was behind the robot call, but he did

0:14:10.840 --> 0:14:13.640
<v Speaker 12>say we need to be thinking really critically about deep

0:14:13.679 --> 0:14:16.040
<v Speaker 12>fakes in this election cycle, and he does not think

0:14:16.080 --> 0:14:19.440
<v Speaker 12>President Biden has done enough at this point to address it, guys.

0:14:19.920 --> 0:14:23.560
<v Speaker 4>And therein lies a key technology story for this election cycle.

0:14:23.600 --> 0:14:26.680
<v Speaker 4>Bloomber's k lines on the ground terrific reporting. Thank you,

0:14:26.760 --> 0:14:30.720
<v Speaker 4>Let's stick with politics and that AI story this election cycle.

0:14:30.760 --> 0:14:34.480
<v Speaker 4>CrowdStrike president Michael Santonus joins us Now to discuss how

0:14:34.840 --> 0:14:37.960
<v Speaker 4>generative AI could affect the upcoming election and how his

0:14:38.040 --> 0:14:41.480
<v Speaker 4>company views election security off the heels of yesterday's New

0:14:41.480 --> 0:14:46.640
<v Speaker 4>Hampshire primary. The deep fake is one example of malicious

0:14:46.720 --> 0:14:50.440
<v Speaker 4>let's call it malicious content that circulates on social media

0:14:51.160 --> 0:14:55.120
<v Speaker 4>in the early forays of this election cycle. What is

0:14:55.160 --> 0:14:58.520
<v Speaker 4>the volume of activity you are seeing in that use

0:14:58.560 --> 0:14:59.280
<v Speaker 4>case than others.

0:15:00.880 --> 0:15:02.520
<v Speaker 13>Yeah, thanks for having me. Look, I think it's going

0:15:02.560 --> 0:15:05.480
<v Speaker 13>to be an interesting year. There's over forty countries that

0:15:05.560 --> 0:15:08.800
<v Speaker 13>are voting this year. The problems that you're talking about

0:15:09.160 --> 0:15:12.200
<v Speaker 13>this morning a growing issue, and I think in a

0:15:12.200 --> 0:15:13.920
<v Speaker 13>lot of ways it's what we're going to see. There's

0:15:13.960 --> 0:15:17.440
<v Speaker 13>been so much talk over the years about voting systems

0:15:17.560 --> 0:15:21.880
<v Speaker 13>and probably too much being put into that area because

0:15:21.880 --> 0:15:24.440
<v Speaker 13>we do have to think about deep fakes, we have

0:15:24.520 --> 0:15:28.200
<v Speaker 13>to think about disinformation campaigns, and ultimately what it's going

0:15:28.240 --> 0:15:30.440
<v Speaker 13>to come down to is the average voter it's going

0:15:30.480 --> 0:15:33.160
<v Speaker 13>to really struggle to understand what's real what's not, and

0:15:33.160 --> 0:15:34.400
<v Speaker 13>they're going to have to do a lot of work

0:15:34.440 --> 0:15:37.000
<v Speaker 13>to make sure that they're not making decisions on who

0:15:37.000 --> 0:15:39.800
<v Speaker 13>to vote for that maybe is based on incorrect information.

0:15:40.640 --> 0:15:43.760
<v Speaker 3>Audio deep feats actually something we saw in Slovakia's parliamentary

0:15:43.760 --> 0:15:47.680
<v Speaker 3>election already. So something that's coming and unfolding. How much

0:15:47.920 --> 0:15:53.200
<v Speaker 3>are well government's most front and center social media companies

0:15:53.400 --> 0:15:55.800
<v Speaker 3>managing to breecee this because it can't all just be

0:15:55.880 --> 0:15:57.880
<v Speaker 3>left in the hands of consumer to try and work

0:15:57.920 --> 0:15:58.640
<v Speaker 3>out real.

0:15:58.440 --> 0:16:01.560
<v Speaker 13>From not well, it can't be left to the consumer.

0:16:01.640 --> 0:16:04.080
<v Speaker 13>But the problem is that it's very easy for a

0:16:04.240 --> 0:16:08.400
<v Speaker 13>consumer to create this content. What was once a very

0:16:08.560 --> 0:16:13.040
<v Speaker 13>technical thing to do is now a few thousand dollars

0:16:13.080 --> 0:16:15.640
<v Speaker 13>and you can go and get a very good capable

0:16:15.680 --> 0:16:18.680
<v Speaker 13>graphics card and the system. You can get some instructions

0:16:18.720 --> 0:16:20.520
<v Speaker 13>and you can build your own deep fate, you can

0:16:20.600 --> 0:16:24.600
<v Speaker 13>build the voiceover, you can build a video. So the

0:16:24.720 --> 0:16:26.680
<v Speaker 13>challenge is we're going to see a lot of this

0:16:26.880 --> 0:16:30.360
<v Speaker 13>content in volumes that we've never seen before created by

0:16:30.400 --> 0:16:33.680
<v Speaker 13>the average person. So it's going to be something that

0:16:33.800 --> 0:16:35.720
<v Speaker 13>everyone's going to have to step up to address. Whether

0:16:35.760 --> 0:16:39.520
<v Speaker 13>it's governments, whether it's a social media sites. It's something

0:16:39.640 --> 0:16:42.400
<v Speaker 13>that should be a concern to everybody because it's going

0:16:42.440 --> 0:16:46.040
<v Speaker 13>to really sway decisions that people are making because it's

0:16:46.160 --> 0:16:48.120
<v Speaker 13>just so easy to create this content today.

0:16:48.960 --> 0:16:50.040
<v Speaker 5>Absolutely fascinating.

0:16:50.080 --> 0:16:52.680
<v Speaker 3>And of course this isn't just the only election that's

0:16:52.720 --> 0:16:55.680
<v Speaker 3>on the books here worldwide, plenty to be cracking down

0:16:55.720 --> 0:16:58.640
<v Speaker 3>on CrowdStrike. President Michael Santonas, we want to thank you

0:16:58.720 --> 0:17:01.160
<v Speaker 3>so much for joining us today. I'm sure we may

0:17:01.160 --> 0:17:03.040
<v Speaker 3>well be returning for your expertise.

0:17:02.640 --> 0:17:03.040
<v Speaker 5>In the future.

0:17:03.080 --> 0:17:05.760
<v Speaker 3>Meanwhile, look, a group of senators from both sides of

0:17:05.800 --> 0:17:08.119
<v Speaker 3>the aisle is ramping up calls for creation of a

0:17:08.160 --> 0:17:11.600
<v Speaker 3>federal agency to regulate the technology industry, as is concern

0:17:11.680 --> 0:17:14.400
<v Speaker 3>surrounding the risks of AI. As we discuss they continue

0:17:14.400 --> 0:17:16.800
<v Speaker 3>to grow now. The group wrote a letter urging Majority

0:17:16.880 --> 0:17:20.600
<v Speaker 3>Leader Chuck Schumer to establish an agency dedicated to regulating

0:17:20.600 --> 0:17:23.160
<v Speaker 3>the nation's largest tech Company's.

0:17:22.720 --> 0:17:26.680
<v Speaker 4>Head right, it's coming up on the program, ASML says,

0:17:26.720 --> 0:17:29.639
<v Speaker 4>it's seeing some pretty positive signs in sales growth. Is

0:17:29.680 --> 0:17:33.720
<v Speaker 4>the chip making equipment industry bottoms out. Bloomberg TV caught

0:17:33.800 --> 0:17:35.439
<v Speaker 4>up with its CEO and we will bring you that

0:17:35.480 --> 0:17:50.600
<v Speaker 4>conversation next. This is Bloomberg Technology. It's time for talking

0:17:50.680 --> 0:17:54.080
<v Speaker 4>tech and first start. Washington State legislators are at the

0:17:54.119 --> 0:17:58.320
<v Speaker 4>center of a growing debate regarding artificial intelligence regulation. House

0:17:58.400 --> 0:18:02.040
<v Speaker 4>filled nineteen fifty one hopes to place restrictions on how

0:18:02.160 --> 0:18:07.679
<v Speaker 4>businesses and government agencies can replace human decision making with AI. However,

0:18:07.720 --> 0:18:11.520
<v Speaker 4>big tech lobbyists argue that the bill is flawed, and

0:18:11.680 --> 0:18:14.960
<v Speaker 4>Apple is hitting the brakes on its plans to bring

0:18:15.040 --> 0:18:18.480
<v Speaker 4>a self driving car to market. Bloomberg's reporting that the

0:18:18.480 --> 0:18:22.119
<v Speaker 4>company is now shifting its focus toward building an electric

0:18:22.280 --> 0:18:25.879
<v Speaker 4>car with more limited features. With the latest changes, the

0:18:25.920 --> 0:18:28.760
<v Speaker 4>company is looking to introduce the car in twenty twenty

0:18:28.800 --> 0:18:32.080
<v Speaker 4>eight at the earliest, down from twenty twenty six plus.

0:18:32.200 --> 0:18:36.360
<v Speaker 4>ASML CEO Peter Wennick tells Bloomberg TV that the generative

0:18:36.400 --> 0:18:40.879
<v Speaker 4>AI boom needs his company's technology to compute and store data.

0:18:40.920 --> 0:18:44.320
<v Speaker 4>The Dutch chip maker benefited from strong demand from China

0:18:44.440 --> 0:18:47.840
<v Speaker 4>last year, shares today at an all time high.

0:18:47.880 --> 0:18:51.560
<v Speaker 3>Carol extraordinary, Sherry Action, extraordinary center numbers. And then you're

0:18:51.600 --> 0:18:54.879
<v Speaker 3>just talking about the SML performance. Where he actually spoke

0:18:54.920 --> 0:18:57.359
<v Speaker 3>with the CEO, Peter Wannick a little bit earlier, he

0:18:57.359 --> 0:19:00.600
<v Speaker 3>sat down with Bloomerg's Tom McKenzie really laid into the

0:19:00.760 --> 0:19:03.240
<v Speaker 3>clarity of China and artificial intelligence.

0:19:03.240 --> 0:19:03.720
<v Speaker 5>Take a listen.

0:19:04.720 --> 0:19:07.119
<v Speaker 2>Ninety of our business in China has to do with

0:19:07.200 --> 0:19:09.960
<v Speaker 2>mature technology, and that's the technology that we need for

0:19:10.000 --> 0:19:11.720
<v Speaker 2>all the major transitions. You know, if you think about

0:19:11.800 --> 0:19:17.919
<v Speaker 2>energy transition, the electrical vehicle transition, digitization, rollout of the

0:19:18.040 --> 0:19:23.480
<v Speaker 2>smart grid, you know, life sciences, it's all mature technology.

0:19:23.520 --> 0:19:24.960
<v Speaker 2>That's where the masses are.

0:19:25.480 --> 0:19:28.160
<v Speaker 14>So what is your message to those in Washington, lawmakers

0:19:28.200 --> 0:19:31.600
<v Speaker 14>in Washington, lawmakers in the Hague even who are pushing

0:19:31.920 --> 0:19:37.480
<v Speaker 14>to expand those restrictions beyond the most cutting edge lithography machines,

0:19:37.520 --> 0:19:41.439
<v Speaker 14>to expand those restrictions on the sale of lithography to China.

0:19:41.880 --> 0:19:45.359
<v Speaker 2>Well, you know, a full respect for national security concerns,

0:19:45.560 --> 0:19:47.600
<v Speaker 2>that's not the point. But I think we need to

0:19:47.840 --> 0:19:51.359
<v Speaker 2>take into consideration that this chip industry has created an

0:19:51.359 --> 0:19:54.399
<v Speaker 2>almost seamless ecosystem across the globe that has given us

0:19:54.560 --> 0:19:57.760
<v Speaker 2>massive advantages in terms of innovation and cost reduction. So

0:19:57.800 --> 0:20:00.240
<v Speaker 2>that's from an economic point of view, we need to

0:20:00.280 --> 0:20:04.000
<v Speaker 2>make sure that economic system that we have created, which

0:20:04.040 --> 0:20:06.560
<v Speaker 2>has given us so much benefit, that we keep that intact.

0:20:06.960 --> 0:20:09.840
<v Speaker 2>It's not about national security, it's about making sure that

0:20:09.920 --> 0:20:12.399
<v Speaker 2>innovation can keep going.

0:20:12.920 --> 0:20:15.359
<v Speaker 14>You're stepping down in April. Does your success or at

0:20:15.400 --> 0:20:19.520
<v Speaker 14>least have to wargame the possibility the scenario where ASML

0:20:19.880 --> 0:20:23.040
<v Speaker 14>has to operate in a global market X China.

0:20:24.040 --> 0:20:25.880
<v Speaker 10>Well, you know, I.

0:20:25.840 --> 0:20:27.920
<v Speaker 2>Don't know whether he's war gaming. I don't think he's

0:20:27.960 --> 0:20:30.000
<v Speaker 2>a gamer, to be very honest, you know, we'll just

0:20:30.040 --> 0:20:31.840
<v Speaker 2>have to deal with the reality. But also, you know,

0:20:31.920 --> 0:20:33.560
<v Speaker 2>I'm an optimist.

0:20:33.119 --> 0:20:36.400
<v Speaker 1>That worries a lot, and I do believe that we have.

0:20:36.400 --> 0:20:40.919
<v Speaker 2>Created, you know, macroeconomic systems that are so dependent on

0:20:41.000 --> 0:20:44.639
<v Speaker 2>each other that I think that is a scenario you

0:20:44.680 --> 0:20:47.440
<v Speaker 2>can always put into a game, but I don't think

0:20:47.440 --> 0:20:48.560
<v Speaker 2>that's a very realistic one.

0:20:48.600 --> 0:20:52.480
<v Speaker 14>You do not have generative AI without ASML. It's as

0:20:52.480 --> 0:20:56.480
<v Speaker 14>simple as that, without your extreme ultra violet lithography machines.

0:20:56.640 --> 0:20:59.880
<v Speaker 14>How much demand are your clients saying they are seeing

0:21:00.720 --> 0:21:04.200
<v Speaker 14>for chip making equipment to generate those kind of AI chips.

0:21:04.520 --> 0:21:06.080
<v Speaker 2>Althot me first of all say that I think the

0:21:06.200 --> 0:21:10.120
<v Speaker 2>full extent of what AI could bring is not totally

0:21:10.160 --> 0:21:13.800
<v Speaker 2>clear because it's all about the applications and that still

0:21:13.840 --> 0:21:14.920
<v Speaker 2>needs to develop.

0:21:14.960 --> 0:21:15.000
<v Speaker 3>It.

0:21:15.119 --> 0:21:17.879
<v Speaker 2>One thing is absolutely sure, it's going to need massive

0:21:17.920 --> 0:21:21.280
<v Speaker 2>amounts of compute power and storage data storage. So I

0:21:21.320 --> 0:21:27.080
<v Speaker 2>think without ASML, without our technology, that's not going to happen.

0:21:27.520 --> 0:21:30.520
<v Speaker 2>So it's very clear it's going to be a big

0:21:30.600 --> 0:21:33.080
<v Speaker 2>driver going forward for our business in the business of

0:21:33.119 --> 0:21:33.760
<v Speaker 2>our customers.

0:21:35.880 --> 0:21:39.159
<v Speaker 4>That was ASML CEO Peter winning the chip equipment maker

0:21:39.400 --> 0:21:41.040
<v Speaker 4>euro It's most valuable tech company.

0:21:41.160 --> 0:21:43.000
<v Speaker 3>Let's get a quick check on these markets. Said, Now

0:21:43.040 --> 0:21:45.040
<v Speaker 3>let's just dwell on some of the record highs that

0:21:45.040 --> 0:21:47.680
<v Speaker 3>we're hitting today because in amongst some of the strong

0:21:47.720 --> 0:21:50.760
<v Speaker 3>economic data, we're still deciding that tech names are going

0:21:50.800 --> 0:21:53.280
<v Speaker 3>to outperform, particularly from the Magnificent seven that have.

0:21:53.240 --> 0:21:54.720
<v Speaker 5>Already rode so high already.

0:21:54.880 --> 0:21:58.680
<v Speaker 3>Look at Matter I see above one trillion dollar market capitalization.

0:21:59.000 --> 0:22:01.520
<v Speaker 5>We're riding high on Meta Alphabet also in a new

0:22:01.560 --> 0:22:02.200
<v Speaker 5>record high.

0:22:02.040 --> 0:22:05.280
<v Speaker 3>As well, Microsoft above three trillion dollars. We also, though,

0:22:05.320 --> 0:22:07.400
<v Speaker 3>want to shine a light what's happening with Tesla? Will

0:22:07.440 --> 0:22:10.960
<v Speaker 3>those earnings manage to well INCENTIVI some of the investors

0:22:11.000 --> 0:22:12.720
<v Speaker 3>come back to that name, because remember it is one

0:22:12.760 --> 0:22:15.320
<v Speaker 3>of the most expensive out there on the Magnificent seven

0:22:15.720 --> 0:22:16.960
<v Speaker 3>and the worst performer of late.

0:22:16.880 --> 0:22:20.600
<v Speaker 4>Lad Yeah, I think in the earnings context, eps's forecast

0:22:20.600 --> 0:22:22.359
<v Speaker 4>has dropped thirty eight per cent year on year, a

0:22:22.480 --> 0:22:25.040
<v Speaker 4>very different story with the other six. So Tesla is

0:22:25.119 --> 0:22:28.399
<v Speaker 4>reporting earnings after the closing bell today, We're going to

0:22:28.520 --> 0:22:30.399
<v Speaker 4>spice things up a bit in terms of how you

0:22:30.480 --> 0:22:34.720
<v Speaker 4>react to those results with a game of bingo from

0:22:34.840 --> 0:22:38.240
<v Speaker 4>the elon Inc Podcast team joining us to explain the

0:22:38.320 --> 0:22:42.399
<v Speaker 4>methodology the science behind this masterpiece. Co host of the

0:22:42.440 --> 0:22:45.240
<v Speaker 4>Elon Inc Podcast Bloombost Max Chafkin. I'm going to go

0:22:45.280 --> 0:22:48.359
<v Speaker 4>straight to something that you've shortchanged the global audience on,

0:22:48.400 --> 0:22:52.200
<v Speaker 4>which is you put prototypes are easy, production is hard.

0:22:52.640 --> 0:22:56.160
<v Speaker 4>In two separate squares, You and I both know that

0:22:56.160 --> 0:22:57.600
<v Speaker 4>that comes in one sentence.

0:22:57.920 --> 0:23:01.800
<v Speaker 11>Listen, as Wilmer's chief Bingo signed, I can tell you that,

0:23:02.000 --> 0:23:04.360
<v Speaker 11>you know, a Bingo card needs to have some gimmes

0:23:04.440 --> 0:23:08.200
<v Speaker 11>and some that are much less likely to hit. You're right,

0:23:09.000 --> 0:23:11.520
<v Speaker 11>it will be very surprising if Elon Musk did not

0:23:11.680 --> 0:23:15.040
<v Speaker 11>say prototypes are easy, Production is hard, of course, in

0:23:15.160 --> 0:23:18.400
<v Speaker 11>reference to the difficulty manufacturing the cyber truck.

0:23:18.400 --> 0:23:19.520
<v Speaker 6>Tesla's a new pickup truck.

0:23:20.200 --> 0:23:22.480
<v Speaker 3>A lot of these are fun, a lot of these

0:23:22.520 --> 0:23:24.840
<v Speaker 3>are you know, at one point you're segment he's going

0:23:24.880 --> 0:23:27.200
<v Speaker 3>to audibly take a toke.

0:23:27.840 --> 0:23:30.880
<v Speaker 5>But what is crucial for an investor base here?

0:23:30.920 --> 0:23:33.000
<v Speaker 3>What are the words that you think will come out

0:23:33.000 --> 0:23:36.560
<v Speaker 3>of his mouth that might inject some enthusiasm or create

0:23:36.680 --> 0:23:37.400
<v Speaker 3>further out.

0:23:37.320 --> 0:23:39.159
<v Speaker 11>So you know, as Ed said, we're trying to have

0:23:39.200 --> 0:23:41.359
<v Speaker 11>a little fun with this and also participating in what

0:23:41.480 --> 0:23:44.480
<v Speaker 11>is really like a time honor tradition for both Tesla

0:23:44.600 --> 0:23:47.760
<v Speaker 11>bulls as well as critics. You know, lots of investors

0:23:47.800 --> 0:23:50.000
<v Speaker 11>lots of commentators have made their own Bigo cards. You

0:23:50.000 --> 0:23:52.000
<v Speaker 11>can find them on Reddit, so we wanted to kind

0:23:52.000 --> 0:23:54.639
<v Speaker 11>of join in the fun. I think in terms for

0:23:54.720 --> 0:23:57.480
<v Speaker 11>investors it sounds strange to say, but Elon Musk's.

0:23:57.080 --> 0:23:58.360
<v Speaker 10>Mood is very important.

0:23:58.359 --> 0:24:01.080
<v Speaker 11>You know, he is one of the most accessible CEO,

0:24:01.200 --> 0:24:03.879
<v Speaker 11>is probably the most accessible CEO in the world. He

0:24:03.960 --> 0:24:07.040
<v Speaker 11>talks all the time continuously. He doesn't hold back, as

0:24:07.080 --> 0:24:11.320
<v Speaker 11>we often discuss, and so how he describes these numbers

0:24:11.400 --> 0:24:13.880
<v Speaker 11>is probably just important as the numbers that he describes.

0:24:14.200 --> 0:24:16.960
<v Speaker 11>Do we get a sad Elon, a dower Elon, a

0:24:16.960 --> 0:24:20.000
<v Speaker 11>pessimistic Elon, or do we get an optimistic Elon? And

0:24:20.040 --> 0:24:23.800
<v Speaker 11>I think that will ultimately decide how investors react to

0:24:24.160 --> 0:24:24.920
<v Speaker 11>what happens.

0:24:24.680 --> 0:24:27.000
<v Speaker 3>Later Today, investments want to hear what demand is like,

0:24:27.160 --> 0:24:32.080
<v Speaker 3>but also the dojo, the supercomputer, the AI, the robotics question. Now,

0:24:32.080 --> 0:24:33.679
<v Speaker 3>this is something we're starting to hear from me in

0:24:33.680 --> 0:24:36.480
<v Speaker 3>On Musk, that he's might well just take that kind

0:24:36.480 --> 0:24:39.240
<v Speaker 3>of technology elsewhere if he is not recompensed in the

0:24:39.240 --> 0:24:41.280
<v Speaker 3>way he wants to be by Tesla, are he gonna here?

0:24:41.320 --> 0:24:42.760
<v Speaker 5>And he pushed back on his own board.

0:24:42.600 --> 0:24:45.800
<v Speaker 11>Again, well that should be very interesting and the idea

0:24:45.880 --> 0:24:48.199
<v Speaker 11>that you know, Elon Musk course is very unconventional. But

0:24:48.200 --> 0:24:50.280
<v Speaker 11>the idea that he's asking for what amounts to a

0:24:50.320 --> 0:24:53.440
<v Speaker 11>massive pay raise at the same time, you know, essentially

0:24:53.520 --> 0:24:55.600
<v Speaker 11>making a threat or at least a veiled threat, as

0:24:55.600 --> 0:24:59.200
<v Speaker 11>he said, to take his AI expertise elsewhere. It's kind

0:24:59.240 --> 0:25:02.240
<v Speaker 11>of staggering, especially given that for for a couple of

0:25:02.280 --> 0:25:05.399
<v Speaker 11>years now he's been emphasizing that AI is sort of core.

0:25:05.280 --> 0:25:08.560
<v Speaker 6>To Tesla and the Rose multipas exactly.

0:25:08.560 --> 0:25:11.760
<v Speaker 11>The whole bet here, especially for Tesla bulls, is that

0:25:11.800 --> 0:25:14.520
<v Speaker 11>this company is going to operate a robotaxi fleet, will

0:25:14.520 --> 0:25:17.359
<v Speaker 11>eventually build a supercomputer dojo as you say, which I

0:25:17.400 --> 0:25:20.280
<v Speaker 11>believe is and one on your Bingo card if you're

0:25:20.280 --> 0:25:22.960
<v Speaker 11>playing at home, and and so that so it does

0:25:22.960 --> 0:25:24.320
<v Speaker 11>it is a bit of a head scratcher.

0:25:25.040 --> 0:25:25.280
<v Speaker 10>You know.

0:25:25.440 --> 0:25:28.120
<v Speaker 11>On the other hand, he does have some leverage here

0:25:28.160 --> 0:25:30.679
<v Speaker 11>because of course he has these other companies that are

0:25:30.720 --> 0:25:34.280
<v Speaker 11>also doing AI stuff x most notably, and so there

0:25:34.359 --> 0:25:37.720
<v Speaker 11>is in some sense a credible threat to Tesla investors.

0:25:37.760 --> 0:25:40.120
<v Speaker 10>And you know, as we've seen, the Tesla.

0:25:39.800 --> 0:25:43.199
<v Speaker 11>Board has generally gone along with whatever Elon Muskas for.

0:25:43.400 --> 0:25:46.119
<v Speaker 11>So so you know, he'll he'll probably feel emboldened.

0:25:47.119 --> 0:25:50.679
<v Speaker 4>The beauty of this bingo board and card is that

0:25:50.760 --> 0:25:54.080
<v Speaker 4>it means different things to different people. So the basics

0:25:54.119 --> 0:25:57.240
<v Speaker 4>for Wall Street are, will test the reiterate it's fifty

0:25:57.280 --> 0:26:00.520
<v Speaker 4>percent compound annual average growth for twenty two twenty four,

0:26:00.560 --> 0:26:02.720
<v Speaker 4>In other words, will they say they're on track to

0:26:02.760 --> 0:26:05.480
<v Speaker 4>build two point five million evs? But for that, like

0:26:05.600 --> 0:26:09.080
<v Speaker 4>Tesla owner, fan, retail audience, look at the top right square,

0:26:09.480 --> 0:26:12.320
<v Speaker 4>full self driving And what's so interesting in the last

0:26:12.320 --> 0:26:13.040
<v Speaker 4>twenty four hours or.

0:26:13.000 --> 0:26:14.680
<v Speaker 6>So is they brought up version.

0:26:14.400 --> 0:26:17.800
<v Speaker 4>Twelve of FSD beta and there's so much chat about it.

0:26:18.080 --> 0:26:20.240
<v Speaker 4>You know, how do you think that will be distinguished?

0:26:20.320 --> 0:26:23.679
<v Speaker 4>Max between the Tesla fan, that Elon Musk supporter, the

0:26:23.720 --> 0:26:27.200
<v Speaker 4>retail investor, and legacy Wall Street There sometimes just focuses

0:26:27.240 --> 0:26:29.399
<v Speaker 4>on the fundamentals should we call it?

0:26:29.440 --> 0:26:30.280
<v Speaker 10>So, you know, I.

0:26:30.200 --> 0:26:32.560
<v Speaker 11>Would argue that the full self driving promise is very

0:26:32.600 --> 0:26:34.800
<v Speaker 11>important to everybody. Of course, there are, as you say,

0:26:35.080 --> 0:26:37.160
<v Speaker 11>some analysts who are much more focused on these kind

0:26:37.240 --> 0:26:40.520
<v Speaker 11>of the question of margins, And I think, you know, basically,

0:26:40.560 --> 0:26:42.480
<v Speaker 11>how many people want to buy Tesla's and what are

0:26:42.520 --> 0:26:45.159
<v Speaker 11>the margins? Those are the two most pressing questions, but

0:26:45.480 --> 0:26:49.919
<v Speaker 11>how Elon Musk himself is CES self driving? Is is

0:26:49.920 --> 0:26:52.159
<v Speaker 11>it something that's going to happen next year? As you

0:26:52.240 --> 0:26:54.320
<v Speaker 11>always you know, it basically seems like every year he

0:26:54.359 --> 0:26:56.720
<v Speaker 11>says coming next year hasn't come yet. It's been a

0:26:56.760 --> 0:26:59.159
<v Speaker 11>source of continual disappointment and criticism.

0:26:59.480 --> 0:27:02.640
<v Speaker 10>But watching to see if he ever pulls back from

0:27:02.640 --> 0:27:03.240
<v Speaker 10>that promise.

0:27:03.280 --> 0:27:06.760
<v Speaker 6>I think that would have huge effects on not just.

0:27:06.720 --> 0:27:09.800
<v Speaker 11>On demand, not just on like car buyers, but also

0:27:09.960 --> 0:27:13.560
<v Speaker 11>on how investors think about this stock, because again, so

0:27:13.720 --> 0:27:16.280
<v Speaker 11>much of the value is about the future and the

0:27:16.320 --> 0:27:19.520
<v Speaker 11>promise that Elon Musk has been reiterating a year after

0:27:19.600 --> 0:27:21.000
<v Speaker 11>year after year that this is going to be more

0:27:21.040 --> 0:27:21.840
<v Speaker 11>than a car company.

0:27:22.560 --> 0:27:26.399
<v Speaker 3>Wow. Max Chafkin is a beautiful Bingo card, and we

0:27:26.440 --> 0:27:28.800
<v Speaker 3>thank you for being our chief scientist of Bingo cards

0:27:28.800 --> 0:27:29.880
<v Speaker 3>in residents.

0:27:30.000 --> 0:27:31.480
<v Speaker 5>Ed, what have you got coming up on the world

0:27:31.520 --> 0:27:31.879
<v Speaker 5>of Elon?

0:27:32.800 --> 0:27:35.119
<v Speaker 4>Well, look, while I was at CES in Las Vegas

0:27:35.160 --> 0:27:37.600
<v Speaker 4>earlier this month, I had to take the opportunity to

0:27:37.760 --> 0:27:40.560
<v Speaker 4>take a ride in one of the Tesla vehicles that's

0:27:40.600 --> 0:27:44.359
<v Speaker 4>operating in Elon Musk and Boring's Vegas Loop.

0:27:44.800 --> 0:27:45.480
<v Speaker 6>Here's how it went.

0:27:46.560 --> 0:27:49.160
<v Speaker 15>This is the Vegas Loop, a one point seven mile

0:27:49.320 --> 0:27:52.520
<v Speaker 15>series of tunnels under the Las Vegas Convention Center made

0:27:52.800 --> 0:27:56.280
<v Speaker 15>by Elon Musk's Boring Code. During CEES twenty twenty four,

0:27:56.320 --> 0:27:58.399
<v Speaker 15>we took a ride in one of the loops, Tesla

0:27:58.440 --> 0:28:01.320
<v Speaker 15>Model Wise. I jumped in at the Central station, riding

0:28:01.359 --> 0:28:04.080
<v Speaker 15>to West Station and then onto Revera A Station and

0:28:04.119 --> 0:28:08.040
<v Speaker 15>Resorts World before circling back without getting out. It took

0:28:08.080 --> 0:28:10.840
<v Speaker 15>me about fifteen minutes to do that loop. Top speed

0:28:10.840 --> 0:28:13.040
<v Speaker 15>in the straight parts of the tunnel was forty miles

0:28:13.040 --> 0:28:16.400
<v Speaker 15>per hour, with an average of thirty when things got congested,

0:28:16.840 --> 0:28:19.480
<v Speaker 15>fifteen miles an hour. There were no crazy wait times

0:28:19.520 --> 0:28:22.600
<v Speaker 15>with the full fleet of Tesla's deployed. It got busier

0:28:22.760 --> 0:28:26.080
<v Speaker 15>around lunchtime, but lines were minimal. The ride can be

0:28:26.200 --> 0:28:28.600
<v Speaker 15>bumpy at times in certain sections, but if you're going

0:28:28.680 --> 0:28:30.960
<v Speaker 15>to walk from West Hall to North or Central Hall

0:28:31.200 --> 0:28:33.639
<v Speaker 15>that could take you twenty five minutes, it takes just

0:28:33.720 --> 0:28:36.920
<v Speaker 15>two minutes in the loop, and within the LVCC it's free.

0:28:37.080 --> 0:28:39.520
<v Speaker 15>The systems designed to carry more than forty four hundred

0:28:39.600 --> 0:28:42.840
<v Speaker 15>convention goers an hour in the Tesla's. In the future,

0:28:42.960 --> 0:28:46.160
<v Speaker 15>there's a plan for special vehicles that carry twelve people.

0:28:46.280 --> 0:28:49.200
<v Speaker 15>Borings also planning an expansion of sixty eight miles of

0:28:49.200 --> 0:28:53.040
<v Speaker 15>tunnels with ninety three stations across the Vegas Convention Center

0:28:53.080 --> 0:28:58.600
<v Speaker 15>and of course the Las Vegas Strip. By the way,

0:28:58.720 --> 0:29:02.560
<v Speaker 15>if you're claustrophobic, this is not the future travel technology

0:29:02.600 --> 0:29:04.440
<v Speaker 15>for you, Caroline, It's.

0:29:04.280 --> 0:29:05.400
<v Speaker 5>A limitations still ed.

0:29:05.480 --> 0:29:09.440
<v Speaker 3>Meanwhile, coming up, look how creative more creative startups?

0:29:10.400 --> 0:29:13.280
<v Speaker 5>How can they avoid a lower valuation. We'll discuss all

0:29:13.280 --> 0:29:13.840
<v Speaker 5>that next.

0:29:13.880 --> 0:29:16.720
<v Speaker 3>Meanwhile, look, there are more earnings coming thick and fast,

0:29:16.800 --> 0:29:17.360
<v Speaker 3>not just tes.

0:29:17.440 --> 0:29:19.840
<v Speaker 5>The service now IBM after the bell.

0:29:19.920 --> 0:29:22.680
<v Speaker 3>IBM currently trading down to tens percent, but the market

0:29:22.760 --> 0:29:26.400
<v Speaker 3>is looking pretty buoyant, looking in anticipation of cash flow

0:29:26.480 --> 0:29:28.920
<v Speaker 3>coming back on and also any mention of AI service

0:29:28.920 --> 0:29:32.080
<v Speaker 3>now up two point two percent, current remaining performance obligations

0:29:32.120 --> 0:29:35.960
<v Speaker 3>and projected to rise twenty almost twenty one percent. We'll

0:29:35.960 --> 0:29:38.000
<v Speaker 3>see how they managed to perform after bell. This is

0:29:38.000 --> 0:29:50.280
<v Speaker 3>Bloom their technology. Let's just talk about the environment for startups.

0:29:50.320 --> 0:29:52.440
<v Speaker 3>It's been a tough one typically though of course they

0:29:52.440 --> 0:29:55.120
<v Speaker 3>depend on serial infusions of funding from backers to get

0:29:55.160 --> 0:29:58.560
<v Speaker 3>through their early years. So we're so called down round.

0:29:58.680 --> 0:30:00.840
<v Speaker 5>They see raising money at a lower applied valuation there

0:30:00.880 --> 0:30:02.680
<v Speaker 5>before it's a big black eye.

0:30:02.720 --> 0:30:05.520
<v Speaker 3>So lately companies are good and kind of creative to

0:30:05.520 --> 0:30:07.960
<v Speaker 3>try and avoid being considered less valuable. I want to

0:30:07.960 --> 0:30:10.720
<v Speaker 3>bring in Bloomberg's Aema Palmer, who's just written a key

0:30:10.800 --> 0:30:14.960
<v Speaker 3>story on all of this and how inventive and ultimately

0:30:15.320 --> 0:30:17.800
<v Speaker 3>how ignoring of their own investors becoming.

0:30:18.160 --> 0:30:20.960
<v Speaker 9>Yes, so it's become, as you mentioned, a very challenging environment.

0:30:21.080 --> 0:30:23.280
<v Speaker 9>So companies have been a lot more medicine to let

0:30:23.320 --> 0:30:26.880
<v Speaker 9>their own shareholders know what's happening inside their company. And

0:30:26.920 --> 0:30:30.640
<v Speaker 9>so what's that means is those shareholders struggle to value

0:30:30.680 --> 0:30:33.360
<v Speaker 9>and mark these companies in their books, and that has

0:30:33.400 --> 0:30:35.320
<v Speaker 9>a whole trickle up effect to their investors and the

0:30:35.360 --> 0:30:37.160
<v Speaker 9>ones even above them.

0:30:37.440 --> 0:30:39.560
<v Speaker 4>There's an interesting element of your story, which is the

0:30:39.640 --> 0:30:42.520
<v Speaker 4>secondaries market. And it's interesting partly because Caroline and I

0:30:42.560 --> 0:30:45.080
<v Speaker 4>have been really focused on it in recent weeks. But

0:30:45.160 --> 0:30:47.560
<v Speaker 4>think about mechanics of how it works in terms of

0:30:47.920 --> 0:30:50.440
<v Speaker 4>employee liquidity and what you do or don't have to

0:30:50.520 --> 0:30:54.000
<v Speaker 4>share in terms of financials, while also not having to

0:30:54.040 --> 0:30:56.440
<v Speaker 4>offer new equity precisely.

0:30:56.520 --> 0:30:59.440
<v Speaker 9>So the secondary market has gotten very interesting as a

0:30:59.480 --> 0:31:02.480
<v Speaker 9>lot of invest don't have a way to typically get

0:31:02.480 --> 0:31:05.520
<v Speaker 9>out those few IPOs, there's fewer M and A, so

0:31:05.800 --> 0:31:07.840
<v Speaker 9>you're seeing the second day market be the place people

0:31:07.880 --> 0:31:10.920
<v Speaker 9>turn to to get liquidity, and especially employees who are

0:31:10.920 --> 0:31:14.800
<v Speaker 9>common shareholders and maybe looking for some cash on hand.

0:31:15.120 --> 0:31:18.120
<v Speaker 9>But that's becoming more and more challenging because if people

0:31:18.200 --> 0:31:20.240
<v Speaker 9>don't know what's happening at the company, if they don't

0:31:20.240 --> 0:31:22.560
<v Speaker 9>have access to financials, they don't know how to price

0:31:22.640 --> 0:31:26.400
<v Speaker 9>these things. So if a buyer is interested, they don't

0:31:26.440 --> 0:31:30.120
<v Speaker 9>know how they should value this company, how what bid

0:31:30.120 --> 0:31:31.840
<v Speaker 9>they should offer, if it should it be a twenty

0:31:31.880 --> 0:31:34.520
<v Speaker 9>percent discount on eighty percent discount, and they may not

0:31:34.560 --> 0:31:37.040
<v Speaker 9>be able to get through their due diligence. And so

0:31:37.240 --> 0:31:40.760
<v Speaker 9>sellers as well too may not have that insights, especially

0:31:40.800 --> 0:31:42.480
<v Speaker 9>if they're lower in the cap table.

0:31:44.320 --> 0:31:48.080
<v Speaker 4>All right, Bloomberg's Hemma Palmer, thank you now, Speaking of

0:31:48.120 --> 0:31:52.840
<v Speaker 4>startup valuations, his one that just doubled built rewards is

0:31:52.880 --> 0:31:57.320
<v Speaker 4>the app that rewards consumers on their rent. Just raise

0:31:57.360 --> 0:32:00.000
<v Speaker 4>the two hundred million dollars round led by general catalysts

0:32:00.440 --> 0:32:03.960
<v Speaker 4>and push the company's valuation to three point one billion dollars.

0:32:04.080 --> 0:32:05.120
<v Speaker 6>That's a big valuation.

0:32:05.480 --> 0:32:07.160
<v Speaker 4>The new York based startup plans to use some of

0:32:07.200 --> 0:32:10.840
<v Speaker 4>that money to expand its rewards network to include small restaurants,

0:32:11.000 --> 0:32:14.360
<v Speaker 4>grocery stores, dry cleaners, and other local merchants. And by

0:32:14.400 --> 0:32:16.760
<v Speaker 4>the way, is someone that rents and is trying to

0:32:16.800 --> 0:32:18.440
<v Speaker 4>find a house to buy in the Bay area?

0:32:18.800 --> 0:32:19.320
<v Speaker 6>Good luck?

0:32:20.160 --> 0:32:23.760
<v Speaker 4>This is an interesting concept. Let's bring in CEO anchor

0:32:23.880 --> 0:32:30.000
<v Speaker 4>Jane for more. Anchor, welcome to the program. Let's start

0:32:30.040 --> 0:32:32.080
<v Speaker 4>with the round and get that done. You know, big

0:32:32.160 --> 0:32:36.080
<v Speaker 4>chunk of change, big valuation. But why did you do it?

0:32:36.240 --> 0:32:37.760
<v Speaker 4>Why did you need that cash?

0:32:38.000 --> 0:32:38.200
<v Speaker 10>Oh?

0:32:38.480 --> 0:32:40.920
<v Speaker 16>The nice thing about the way we've been raising capital

0:32:40.960 --> 0:32:44.760
<v Speaker 16>and built is we've never actually raised cash in a

0:32:44.800 --> 0:32:47.360
<v Speaker 16>moment where we needed money, right, and so the company

0:32:47.400 --> 0:32:50.640
<v Speaker 16>today is profitable and that's allowed us to be more

0:32:50.680 --> 0:32:53.200
<v Speaker 16>strategic and instead of just going out in a fundraise,

0:32:53.560 --> 0:32:56.440
<v Speaker 16>this was really more about partnerships. So well, we've been

0:32:56.600 --> 0:32:59.600
<v Speaker 16>so lucky to have happened today. Is we brought in

0:32:59.720 --> 0:33:02.760
<v Speaker 16>Ken who was the CEO of American Express for years.

0:33:02.760 --> 0:33:07.880
<v Speaker 16>He built membership rewards and this merchant ecosystem join us.

0:33:07.880 --> 0:33:09.680
<v Speaker 16>And as I think you probably know, after he left

0:33:09.720 --> 0:33:13.200
<v Speaker 16>American Express, he joined General Catalyst, where you know he

0:33:13.320 --> 0:33:15.640
<v Speaker 16>is also their lead investor, and so part.

0:33:15.440 --> 0:33:17.640
<v Speaker 10>Of this round is really about aligning.

0:33:17.240 --> 0:33:21.040
<v Speaker 16>Interest, bringing in Ken as a partner in the business,

0:33:21.680 --> 0:33:23.040
<v Speaker 16>and then a lot of this can be used for

0:33:23.160 --> 0:33:25.600
<v Speaker 16>you know, things like share buybacks. You're talking about secondaries.

0:33:25.880 --> 0:33:28.640
<v Speaker 16>One of the benefits of being a profitable company is

0:33:28.680 --> 0:33:32.600
<v Speaker 16>you can focus on long term while still giving investors

0:33:32.640 --> 0:33:34.040
<v Speaker 16>early liquidity opportunities.

0:33:34.800 --> 0:33:37.479
<v Speaker 3>Is it going to change you having a co branded

0:33:37.520 --> 0:33:39.880
<v Speaker 3>master card If you've now got an Amexa.

0:33:39.640 --> 0:33:42.760
<v Speaker 10>So Built, well, this is the thing, right, so Built business.

0:33:42.960 --> 0:33:45.920
<v Speaker 16>We are the payments and rewards platform for rental apartments

0:33:45.960 --> 0:33:49.480
<v Speaker 16>across the country, so people get rewarded with rent payments

0:33:49.600 --> 0:33:54.240
<v Speaker 16>no matter how they pay check, cash, acch payments, MX,

0:33:54.360 --> 0:33:58.200
<v Speaker 16>Visa MasterCard. I think what's so exciting now though, is

0:33:58.320 --> 0:34:01.760
<v Speaker 16>you're not just getting points on rent, you're also earning

0:34:01.760 --> 0:34:03.640
<v Speaker 16>in your neighborhood. And I think this is one of

0:34:03.680 --> 0:34:05.160
<v Speaker 16>the most excessing there has never been.

0:34:05.280 --> 0:34:06.920
<v Speaker 5>So you're not going to change your own co brander

0:34:06.960 --> 0:34:07.520
<v Speaker 5>most so we have.

0:34:07.440 --> 0:34:08.080
<v Speaker 10>A co brand card.

0:34:08.120 --> 0:34:10.440
<v Speaker 16>I think that's we're really excited about that. But I

0:34:10.480 --> 0:34:14.279
<v Speaker 16>think the platform going from home and rewarding you on

0:34:14.320 --> 0:34:18.400
<v Speaker 16>your biggest expense rent to now building that neighborhood loyalty

0:34:18.440 --> 0:34:21.959
<v Speaker 16>and allowing these local restaurants, grocery stores, coffee shops to say,

0:34:22.280 --> 0:34:25.160
<v Speaker 16>here's how you reach people in your local apartment buildings,

0:34:25.360 --> 0:34:27.960
<v Speaker 16>Here's how you reward them for coming in regularly.

0:34:28.560 --> 0:34:29.600
<v Speaker 10>That can be a game.

0:34:29.440 --> 0:34:31.920
<v Speaker 3>Changer and talking at games. You've also got Roger Goodell

0:34:32.080 --> 0:34:35.800
<v Speaker 3>joining I mean NFL. It's all about building loyalty. Remind

0:34:35.880 --> 0:34:38.760
<v Speaker 3>us how you're getting paid because people are coming onto.

0:34:38.600 --> 0:34:39.920
<v Speaker 5>Your board and giving you money.

0:34:39.960 --> 0:34:42.360
<v Speaker 3>Because you've got a really strong revenue stream here, you

0:34:42.400 --> 0:34:44.120
<v Speaker 3>are taking a cut of each of these purchases.

0:34:44.200 --> 0:34:46.279
<v Speaker 10>So this is yes. The short answer is yes.

0:34:46.320 --> 0:34:47.960
<v Speaker 16>And I think what's so exciting is we didn't have

0:34:48.040 --> 0:34:49.440
<v Speaker 16>to reinvent the business model.

0:34:49.840 --> 0:34:51.399
<v Speaker 10>We had to build the ecosystem.

0:34:51.560 --> 0:34:51.759
<v Speaker 2>Right.

0:34:52.040 --> 0:34:55.760
<v Speaker 16>Loyalty programs exist in airlines and hotels. They make money

0:34:55.760 --> 0:34:58.440
<v Speaker 16>from their merchant partners, when they drive spend, they make

0:34:58.480 --> 0:34:59.880
<v Speaker 16>money from their co brand cards.

0:35:00.120 --> 0:35:01.440
<v Speaker 10>What we've also done in.

0:35:01.360 --> 0:35:03.680
<v Speaker 16>Addition to that is build the biggest payment processor for

0:35:03.760 --> 0:35:06.440
<v Speaker 16>rent payments on top of that, and so you allow

0:35:06.480 --> 0:35:10.160
<v Speaker 16>yourself to be profitable and generate revenue from how people

0:35:10.160 --> 0:35:13.719
<v Speaker 16>spend on rent. When you help drive spend to local merchants.

0:35:13.880 --> 0:35:17.280
<v Speaker 16>When people use your co brand card and that ecosystem

0:35:17.320 --> 0:35:21.800
<v Speaker 16>together is really what makes this unique and differentiated anchor.

0:35:21.840 --> 0:35:23.880
<v Speaker 4>I've got to go back to the rent issue. I mean,

0:35:23.960 --> 0:35:27.600
<v Speaker 4>for so many people, paying rent is painful. Right, you

0:35:27.719 --> 0:35:30.879
<v Speaker 4>kind of get viewed as a futile exercise where there's

0:35:30.920 --> 0:35:33.840
<v Speaker 4>no equity reward. You don't get any of the tax

0:35:33.880 --> 0:35:36.920
<v Speaker 4>benefit of owning a home and paying or deducting the

0:35:36.960 --> 0:35:37.920
<v Speaker 4>mortgage interest.

0:35:38.160 --> 0:35:40.759
<v Speaker 6>It's crazy. But what it's crazy? But what is the

0:35:40.760 --> 0:35:41.759
<v Speaker 6>market for it? Right?

0:35:41.840 --> 0:35:45.120
<v Speaker 4>Is there a clear demographic in the customers that came

0:35:45.200 --> 0:35:47.560
<v Speaker 4>to you and said, yeah, I like this. Is there

0:35:47.560 --> 0:35:51.960
<v Speaker 4>a geographic concentration? You know, the market here in SF

0:35:51.960 --> 0:35:53.040
<v Speaker 4>and New York is well known.

0:35:53.160 --> 0:35:55.360
<v Speaker 10>It's a great question. Renters are all over the country.

0:35:55.719 --> 0:35:58.400
<v Speaker 16>I think what's important to understand is most built members

0:35:58.440 --> 0:36:01.040
<v Speaker 16>are in that twenty one to thirty five old demographic.

0:36:01.400 --> 0:36:03.400
<v Speaker 16>You're at this point in your life where buying a

0:36:03.440 --> 0:36:05.600
<v Speaker 16>home it's not just about affording a home. You're at

0:36:05.600 --> 0:36:07.879
<v Speaker 16>a point in your career where you're moving around. You

0:36:07.920 --> 0:36:09.160
<v Speaker 16>want the flexibility.

0:36:09.400 --> 0:36:10.040
<v Speaker 10>You're living in.

0:36:09.960 --> 0:36:12.839
<v Speaker 16>San Francisco, then you moved to Chicago or Atlanta or

0:36:12.920 --> 0:36:14.440
<v Speaker 16>Dallas or Denver.

0:36:14.680 --> 0:36:14.919
<v Speaker 10>Right.

0:36:15.520 --> 0:36:17.920
<v Speaker 16>The problem, like you said, is that historically you haven't

0:36:17.920 --> 0:36:20.600
<v Speaker 16>gotten anything back for baying rent every month, and so

0:36:20.760 --> 0:36:24.200
<v Speaker 16>with Built you earn those points which you can convert

0:36:24.200 --> 0:36:26.879
<v Speaker 16>into airline miles and hotel points. But as you might

0:36:26.880 --> 0:36:28.640
<v Speaker 16>remember when we came on here a few years ago,

0:36:29.040 --> 0:36:32.120
<v Speaker 16>one of the things we spent eighteen months working with

0:36:32.200 --> 0:36:35.239
<v Speaker 16>Fanny Freddy and fh On is to allow people to

0:36:35.440 --> 0:36:38.640
<v Speaker 16>use points towards a down payment on a home and

0:36:38.760 --> 0:36:42.000
<v Speaker 16>use your rental payment history to build your credit and

0:36:42.080 --> 0:36:45.120
<v Speaker 16>help you qualify for a mortgage. So what's exciting about

0:36:45.160 --> 0:36:47.480
<v Speaker 16>that is you pay your rent at any apartment with

0:36:47.640 --> 0:36:51.000
<v Speaker 16>Build using any credit card, debit card, or bank right.

0:36:51.360 --> 0:36:54.120
<v Speaker 16>And then as you build your points balance, you're also

0:36:54.200 --> 0:36:56.759
<v Speaker 16>building your credit history. So if you decide to then

0:36:56.800 --> 0:36:59.560
<v Speaker 16>buy a home when you're ready, you have a head start.

0:37:02.320 --> 0:37:06.719
<v Speaker 3>I'm interested very briefly on ultimately how you continue to

0:37:06.880 --> 0:37:10.720
<v Speaker 3>expand and is it about talent right now? The money

0:37:10.719 --> 0:37:13.799
<v Speaker 3>you said you raised didn't need to fortunately, but where

0:37:13.800 --> 0:37:15.480
<v Speaker 3>do you put it to work right here right now?

0:37:15.680 --> 0:37:17.760
<v Speaker 16>So I think there's two different parts of this expansion

0:37:17.800 --> 0:37:21.080
<v Speaker 16>that's really exciting. Today we have over fifty percent of

0:37:21.120 --> 0:37:25.360
<v Speaker 16>the top fifty residential owners and operators already in the

0:37:25.400 --> 0:37:26.160
<v Speaker 16>Built Alliance.

0:37:26.640 --> 0:37:27.480
<v Speaker 10>I think now we.

0:37:27.480 --> 0:37:31.200
<v Speaker 16>Have an opportunity to really scale across the long tail

0:37:31.280 --> 0:37:34.200
<v Speaker 16>of the multi family. But we've also now expanded into

0:37:34.239 --> 0:37:38.359
<v Speaker 16>providing rewards on single family homes condos. We just rolled

0:37:38.360 --> 0:37:39.920
<v Speaker 16>out our first set of condos here in New York

0:37:39.920 --> 0:37:43.719
<v Speaker 16>with Douglas Ellman and Mortgage Servicing, so even homeowners can

0:37:43.760 --> 0:37:47.080
<v Speaker 16>start to participate in this rewards platform for paying their

0:37:47.080 --> 0:37:48.880
<v Speaker 16>mortgage and being in their neighborhood.

0:37:49.040 --> 0:37:50.520
<v Speaker 10>So that's one part, and then the.

0:37:50.480 --> 0:37:52.960
<v Speaker 16>Second part, which I think is again it takes time

0:37:53.000 --> 0:37:54.880
<v Speaker 16>and it's you know. This is what American Express and

0:37:54.960 --> 0:37:57.879
<v Speaker 16>Visa and MasterCard have done is bring in all these

0:37:57.920 --> 0:38:00.920
<v Speaker 16>local merchants and say, look can be a plug and

0:38:00.920 --> 0:38:04.200
<v Speaker 16>play neighborhood loyalty platform for you. Here's a way to

0:38:04.360 --> 0:38:06.399
<v Speaker 16>reach people when they move in. I mean, people don't

0:38:06.400 --> 0:38:09.359
<v Speaker 16>realize fifty percent of renters move out every single year.

0:38:10.160 --> 0:38:12.920
<v Speaker 16>So all those new people moving into the neighborhood, we

0:38:13.000 --> 0:38:15.480
<v Speaker 16>make it really easy for you to reach those customers.

0:38:15.600 --> 0:38:19.480
<v Speaker 16>Introduce your local restaurant and give them rewards and benefits.

0:38:19.560 --> 0:38:20.200
<v Speaker 10>As a local.

0:38:20.200 --> 0:38:22.200
<v Speaker 16>The person who's most likely to come in on a

0:38:22.239 --> 0:38:24.319
<v Speaker 16>Monday evening, the person who's likely to come in two

0:38:24.400 --> 0:38:27.080
<v Speaker 16>three times a week. I think that is a powerful

0:38:27.680 --> 0:38:29.160
<v Speaker 16>ecosystem and community we can build.

0:38:29.400 --> 0:38:31.560
<v Speaker 5>Boil Rewards CEO. Than good Jane. Great to have you

0:38:31.560 --> 0:38:31.959
<v Speaker 5>on the show.

0:38:32.080 --> 0:38:33.520
<v Speaker 1>Thank you, thanks for calling.

0:38:33.600 --> 0:38:36.520
<v Speaker 10>Jersey Mike. How can I help you? What time do

0:38:36.560 --> 0:38:39.320
<v Speaker 10>you close today?

0:38:39.400 --> 0:38:41.240
<v Speaker 11>We close today at ten pm?

0:38:41.320 --> 0:38:42.800
<v Speaker 10>Can I help you with anything else?

0:38:47.719 --> 0:38:51.279
<v Speaker 4>Sandwich change Jersey Mike's jumpinions the world of artificial intelligence

0:38:51.280 --> 0:38:54.799
<v Speaker 4>today to company announcing a partnership with SoundHound AI to

0:38:54.800 --> 0:38:59.080
<v Speaker 4>add state of the art voice AI ordering Ceoka Bamajaja

0:38:59.200 --> 0:39:03.440
<v Speaker 4>SoundHound CEO joining us Now this is a big deal.

0:39:03.560 --> 0:39:05.319
<v Speaker 6>How many stores? When?

0:39:05.520 --> 0:39:08.400
<v Speaker 1>How thanks for having me.

0:39:08.760 --> 0:39:12.120
<v Speaker 17>Yeah, we are very excited about the announcements they have

0:39:12.160 --> 0:39:15.560
<v Speaker 17>about Jersey mankels about at over twenty five hundred locations.

0:39:16.080 --> 0:39:19.320
<v Speaker 17>Usually brands like this start with one or two before

0:39:19.320 --> 0:39:21.400
<v Speaker 17>they expand, where we're starting with fifty, which is great,

0:39:22.040 --> 0:39:25.720
<v Speaker 17>and we are starting the year with over ten thousand

0:39:25.760 --> 0:39:28.439
<v Speaker 17>live locations across small puble brands and over one hundred

0:39:28.480 --> 0:39:30.000
<v Speaker 17>thousand locations in our pipeline.

0:39:30.120 --> 0:39:33.160
<v Speaker 3>Kaevon, what is competition like for you now? Given the

0:39:33.200 --> 0:39:38.000
<v Speaker 3>world has suddenly embraced general to AI, so.

0:39:38.080 --> 0:39:40.720
<v Speaker 17>Somehow has three pillars of business. In the first pillar,

0:39:40.800 --> 0:39:43.919
<v Speaker 17>we provide a branded AI assistant to products like cars

0:39:43.960 --> 0:39:47.440
<v Speaker 17>and TVs IoT devices. In the second pillar, we have

0:39:47.560 --> 0:39:51.799
<v Speaker 17>AI customer service for businesses like restaurants and beyond. And

0:39:51.840 --> 0:39:53.759
<v Speaker 17>in the third pillar that's coming in the future, we

0:39:53.880 --> 0:39:56.080
<v Speaker 17>bring them together so while you're driving, you can order

0:39:56.120 --> 0:39:57.239
<v Speaker 17>food by talking to.

0:39:57.160 --> 0:39:58.720
<v Speaker 1>Your car instead of talking to the restaurant.

0:39:58.719 --> 0:40:02.399
<v Speaker 17>Which brings are pill are two customers to our pillar one,

0:40:02.600 --> 0:40:07.640
<v Speaker 17>the users up pillar one customers. So something changed last year.

0:40:07.719 --> 0:40:11.160
<v Speaker 17>General AI and large language models really changed the landscape.

0:40:11.400 --> 0:40:15.200
<v Speaker 17>Sand Hunt is eighteen years old. We've been developing the

0:40:15.239 --> 0:40:19.040
<v Speaker 17>core technology in conversational AI for almost two decades. But

0:40:19.080 --> 0:40:22.680
<v Speaker 17>when large language models change the landscape, it's really accelerated

0:40:24.840 --> 0:40:29.600
<v Speaker 17>our path to adoption and competitors, the big tech players

0:40:29.640 --> 0:40:31.640
<v Speaker 17>have to build their own large language model, so it's right,

0:40:31.719 --> 0:40:34.240
<v Speaker 17>takes them a couple of years, and then the smaller cabon.

0:40:35.000 --> 0:40:37.000
<v Speaker 6>Yeah, we just had ten seconds left.

0:40:37.000 --> 0:40:39.480
<v Speaker 4>This an exclusive deal or your phone in Jack in

0:40:39.520 --> 0:40:40.680
<v Speaker 4>the Box and Wendy's next.

0:40:42.600 --> 0:40:44.919
<v Speaker 17>It's not exclusive. We are in twenty five over twenty

0:40:44.920 --> 0:40:49.440
<v Speaker 17>five brands already and like Wendy's I'm sorry not Wendy's

0:40:49.719 --> 0:40:54.719
<v Speaker 17>White Castle, and that's the one we've announced. And we

0:40:54.760 --> 0:40:57.400
<v Speaker 17>can also power smaller brands like it can be a

0:40:57.400 --> 0:40:59.160
<v Speaker 17>single location sandwich shop and we can.

0:40:59.200 --> 0:41:01.880
<v Speaker 3>Use our ai kavan great having some time with you,

0:41:01.960 --> 0:41:03.600
<v Speaker 3>come back soundhoudaiice o.

0:41:03.680 --> 0:41:04.520
<v Speaker 5>K van Mahoja.

0:41:04.960 --> 0:41:08.840
<v Speaker 3>That does it for this citizen of Bloomleg Technology