WEBVTT - 2024 IPOs, Travel Tuesday and Tesla's Cybertruck

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<v Speaker 1>From Marhard. We're Innovation, Money and Power colle in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>I'm Caroline Heide of Bloomberg's World headquarters in New York,

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<v Speaker 2>and I'm d Ludlow in San Francisco.

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<v Speaker 3>This is Bloombay Technology.

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<v Speaker 2>Coming up, we get a read on the IPO market.

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<v Speaker 2>That's as retail Machine files confidentially for a US listing,

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<v Speaker 2>while Reddit it tests the water for a twenty twenty

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<v Speaker 2>four public offering.

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<v Speaker 4>More ahead, plus we'll talk the state of the consumer

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<v Speaker 4>on this travel Tuesday and Amazon reports new records for

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<v Speaker 4>Black Friday and Cyber Monday sales.

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<v Speaker 2>And Tesla's production nightmare. Why this cyber truck is continuing

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<v Speaker 2>to be trouble for Tesla ahead of it's all important

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<v Speaker 2>delivery event this week. We'll discuss that so much more.

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<v Speaker 2>This hour, Let's go to companies that well perhaps are

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<v Speaker 2>looking to get into the world of publicly traded pies

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<v Speaker 2>and lose. Let's talk about Sheen's file for an IPO.

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<v Speaker 2>We understand Reddit also again holding talks to potential investors

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<v Speaker 2>as well. Let's get all of it on the strength

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<v Speaker 2>or like there of of an IPO market as we

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<v Speaker 2>look towards twenty twenty four. Butlue most Katie roof, I

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<v Speaker 2>mean a whole lot of news. I mean, not forgetting

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<v Speaker 2>skims of course of Kim Kardashian and one of the

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<v Speaker 2>helm and that particular business. But start on sheen. What

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<v Speaker 2>are we thinking the appetite would be like for a

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<v Speaker 2>company that basically is rivaling h and emon Zara.

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<v Speaker 5>That's right, So they just filed confidentially for a US IPO.

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<v Speaker 5>They're hoping to go sometime next year. We think they

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<v Speaker 5>could be valued as much as ninety billion dollars. They

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<v Speaker 5>have low price points, which has been very popular with

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<v Speaker 5>US consumers in global consumers. They were Chinese founded, but

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<v Speaker 5>they moved their headquarters to Singapore, so this technically wouldn't

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<v Speaker 5>be a Chinese company listing in the US. Obviously, there's

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<v Speaker 5>been a little a lot of the geopolitical tensions there,

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<v Speaker 5>but the Singapore makes.

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<v Speaker 6>It more amenable.

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<v Speaker 4>Reddit's an interesting one as well, Katie, And it was

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<v Speaker 4>funny I spent the morning reading about reddits kind of

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<v Speaker 4>more recent history, and you realize that they actually first

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<v Speaker 4>started this IPO discussion January twenty twenty two, which the

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<v Speaker 4>other way looking at it was two years ago. What

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<v Speaker 4>is the latest on a reddit listing.

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<v Speaker 5>Sure, so they wanted to go public during the last

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<v Speaker 5>IPO boom, but they just missed it, and so they've

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<v Speaker 5>been eagerly waiting for the IPO window to reopen. They

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<v Speaker 5>weren't in the first crop of companies to go public

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<v Speaker 5>this fall, as you know we saw Instacart, Clavio and

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<v Speaker 5>all that, but sources tell us that they are getting ready.

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<v Speaker 5>They are hoping that as soon as Q one that

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<v Speaker 5>they could go public. But obviously, as we've seen, they've

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<v Speaker 5>had a lot of fits and starts.

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<v Speaker 4>Okay, Bloomberg's Katie Roof with a lot of reporting overnight

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<v Speaker 4>about what looks like a busy one Q in twenty

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<v Speaker 4>twenty four. Let's keep the conversation going with Equity Zen's

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<v Speaker 4>head of market Insights, Rihann Lynch, And I guess we

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<v Speaker 4>start with Sheen because the valuation being discussed is mega.

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<v Speaker 4>It is, to all intents and purposes, a kind of

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<v Speaker 4>discount clothing retailer side by side. What do you make

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<v Speaker 4>about it coming to market?

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<v Speaker 7>Yeah, this is one that we've heard is rumored to

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<v Speaker 7>IPO for a while now, and it looks like it's

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<v Speaker 7>finally making that move into the public markets, and it's

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<v Speaker 7>an interesting one to watch. It's different than the cohort

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<v Speaker 7>of companies that we saw went public this fall, and

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<v Speaker 7>it's a company that's been growing really rapidly. They achieved

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<v Speaker 7>twenty three billion dollars in revenue last year, had their

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<v Speaker 7>most profitable half the first half of this year. On

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<v Speaker 7>top of that, they've grown their distribution centers and the

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<v Speaker 7>US camp Europe. They've opened more manufacturing centers in India

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<v Speaker 7>and Brazil.

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<v Speaker 8>And they're really solidifying their US footprint.

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<v Speaker 7>The US is their largest market, you know, fourteen partnerships

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<v Speaker 7>with Forever twenty one and others to you know, create

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<v Speaker 7>that brick and mortar presence. That being said, there is

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<v Speaker 7>a lot of hair around this one. There's concerns about

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<v Speaker 7>their labor practices, their ties.

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<v Speaker 6>To China, you know, and other issues.

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<v Speaker 7>So it's interesting and it will be interesting to see

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<v Speaker 7>how investors think about this one. There really hasn't been

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<v Speaker 7>an apples to apples comparison recently.

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<v Speaker 2>And distinguished for US. The driving force behind Achine wanting

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<v Speaker 2>to go public and for example, a Reddit, it feels

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<v Speaker 2>as though from a Reddit perspective, this is a liquidity

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<v Speaker 2>event that really drives the desire to go public.

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<v Speaker 7>I think that's right. Reddit was founded in two thousand

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<v Speaker 7>and five. This is an eighteen year old company. You'll

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<v Speaker 7>get sheen they're eleven years old, so you know they're

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<v Speaker 7>not young either. And when you look at a mobal level,

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<v Speaker 7>they're over twelve hundred of these unicorn companies valued it

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<v Speaker 7>over three point eight trillion in aggregate, So that's a

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<v Speaker 7>lot of value that has been tied up in the

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<v Speaker 7>private markets.

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<v Speaker 8>And wild platforms like equities.

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<v Speaker 7>Then enable some investors to access this market and some

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<v Speaker 7>shareholders to achieve liquidity.

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<v Speaker 8>There really isn't a wide scale liquidity event until there

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<v Speaker 8>is an IPO.

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<v Speaker 7>So I think a lot of these companies are feeling

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<v Speaker 7>intense pressure from their early investors, from their early.

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<v Speaker 8>Employees to get some liquidity.

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<v Speaker 7>And you know, venture capitalists really aren't looking to pump

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<v Speaker 7>more money into these late stage companies, so the IPO

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<v Speaker 7>is really, you know, they expected next step.

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<v Speaker 4>The reported target valuation for Reddit is fifteen billion dollars.

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<v Speaker 4>The last active user number that I reported, which was

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<v Speaker 4>like months ago, is between fifty and sixty million daily

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<v Speaker 4>active users, which in the grand scheme of things, doesn't

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<v Speaker 4>seem like that many. You talked about the motivation being

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<v Speaker 4>employee liquidity, but what on the about the demand side

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<v Speaker 4>of the equation, Is anyone actually interested in a publicly

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<v Speaker 4>traded Reddit.

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<v Speaker 7>Reddit's an interesting one to watch because they are so

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<v Speaker 7>entwined in the.

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<v Speaker 8>Whole retail investor market.

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<v Speaker 7>They really were in the news a lot at the

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<v Speaker 7>time of the memestock era. Their subreddit Wall Street Bets

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<v Speaker 7>really drove a lot of that retail momentum, So there's

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<v Speaker 7>certainly a tie there, and I think there are some

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<v Speaker 7>super fan and users who will be eagerly watching and

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<v Speaker 7>looking at to.

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<v Speaker 8>Participate in this IPO.

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<v Speaker 7>So while they are maybe one of the smaller social

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<v Speaker 7>platform really do have a loyal user base. And another

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<v Speaker 7>thing to note is that they are growing from a

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<v Speaker 7>profitability perspective.

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<v Speaker 8>It's reported that.

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<v Speaker 7>They're advertising revenue grew thirty one percent in twenty twenty two.

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<v Speaker 7>This has historically been a really small part of their business,

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<v Speaker 7>so an opportunity for them to grow and potentially achieve profitability.

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<v Speaker 8>It'll be interesting to see.

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<v Speaker 7>If they are profitable at the time of considering an IPO,

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<v Speaker 7>because that seems to be a table stake for any

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<v Speaker 7>company considering now.

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<v Speaker 2>It's interesting that in many ways an IPO is often

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<v Speaker 2>a marketing event as well, getting your name out that

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<v Speaker 2>a retail community. And one particular interview we had last

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<v Speaker 2>week amid the whole fura and debarcle around the ousting

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<v Speaker 2>then return of Sam Altman to open ai was one

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<v Speaker 2>very key VC saying well, this wouldn't eventually be a

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<v Speaker 2>bad time to actually ipo open AI. Just take a

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<v Speaker 2>listen for us, Brian.

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<v Speaker 9>I actually think that they should once they get this

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<v Speaker 9>AFT sorted out, immediately filed to go public. I think

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<v Speaker 9>that the demand and the outpouring and interest that you've

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<v Speaker 9>seen and the support for Sam is just absolutely unprecedented

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<v Speaker 9>a tech company. It's almost like an unintended pre IPO

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<v Speaker 9>roadshow to show the overwhelming demand.

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<v Speaker 2>Of lux capital. That was Josh Wolf Brian, you, of

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<v Speaker 2>course make a market in open AI. What would you

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<v Speaker 2>say to the level of demand there is for a

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<v Speaker 2>company like that amid the turmoil.

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<v Speaker 7>When we look at demand amongst our investadors in the

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<v Speaker 7>private markets, AI and machine learning companies are by far

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<v Speaker 7>the most in demand companies on equity sense platforms, so

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<v Speaker 7>not surprising given just the boom in this space, but

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<v Speaker 7>there was certainly a lot of investor interest for AI

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<v Speaker 7>an AI adjacent company, So an interesting take on that one,

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<v Speaker 7>and I'm interested to see kind of if that story

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<v Speaker 7>develops and what comes from that, because there certainly is

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<v Speaker 7>a lot of demand, and when you look at the

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<v Speaker 7>AI market more broadly, a lot of these companies are

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<v Speaker 7>still quite young, so less likely to be IPO candidates,

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<v Speaker 7>but that doesn't mean that there couldn't be one that

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<v Speaker 7>hits the market, and open Ai certainly has the brand name.

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<v Speaker 4>Brian just thirty seconds. Do you expect in active one

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<v Speaker 4>Q twenty twenty four another window to happen?

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<v Speaker 10>I do.

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<v Speaker 7>I do think things will pick up in Q one

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<v Speaker 7>of next year.

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<v Speaker 8>From a macroeconomic perspective.

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<v Speaker 7>We have really good indicator growth, strong GDP, inflation is cooling,

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<v Speaker 7>so from you know, when you look at that now

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<v Speaker 7>as an opportune time to enter the market, IPOs we've

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<v Speaker 7>seen haven't done great, but I don't think that.

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<v Speaker 8>Should be a deterrent for more of these companies next.

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<v Speaker 7>Year, especially those who really have both the liquidity and

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<v Speaker 7>the investor access need to enter the markets.

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<v Speaker 2>Equity sends hell and market Insights Brian Lynch has been

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<v Speaker 2>brilliant talking to you. So an upcoming developers conference has

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<v Speaker 2>been canceled after seeming to list fake female speakers on

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<v Speaker 2>the event's roster, prompting executives from Microsoft and other firms

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<v Speaker 2>to back out of the Devternity conference. My tickets are

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<v Speaker 2>actually selling for up to eight hundred and seventy dollars apiece,

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<v Speaker 2>joining us now. One of the people reporting this out

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<v Speaker 2>bluembg's lsir own and I mean totally extraordinary. The events

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<v Speaker 2>organizer confirming it's been canceled. What was it? He was

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<v Speaker 2>auto generating women in particular as speakers.

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<v Speaker 10>That's the story of what he said happened. So this

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<v Speaker 10>conference to Eternity had a number of speakers listed, and

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<v Speaker 10>then a newsletter writer came out on x saying that

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<v Speaker 10>actually this one profile has been AI generated. Another one

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<v Speaker 10>seems very suspicious, and from their participants started dropping out.

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<v Speaker 10>They just said it was very suspicious. The gentleman who

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<v Speaker 10>organized the conference since said that one of the accounts

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<v Speaker 10>or one of the profiles had been auto generated.

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<v Speaker 2>It had been a mistake. He has since removed it.

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<v Speaker 10>But then there was a far more pervasive issue of

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<v Speaker 10>confirmed speakers Whitson's dropped out, their profiles were still up

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<v Speaker 10>on the screen, including two women who had shifted for

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<v Speaker 10>various reasons, and so there was a lot of concern

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<v Speaker 10>that there was a plot to make the account look

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<v Speaker 10>or to make the conference look more diverse than it

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<v Speaker 10>really was.

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<v Speaker 4>So the organizer, Edwards Sizovs, has confirmed that Devternity's been cancer.

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<v Speaker 3>It's not happening.

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<v Speaker 4>But let's go back to his rational He said this

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<v Speaker 4>was not about giving the appearance of a more diverse

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<v Speaker 4>conference than was actually the case. It was about a

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<v Speaker 4>mistake essentially that he had made.

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<v Speaker 2>Yes, that's exactly what he said.

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<v Speaker 3>What happened.

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<v Speaker 10>But one of the bigger pervasive issues is that we

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<v Speaker 10>know that tech is still chronically under represented when it

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<v Speaker 10>comes to female developers. One report said that the tech

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<v Speaker 10>industry is still less than thirty percent female, and so

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<v Speaker 10>there has been this really big push to make sure

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<v Speaker 10>that these conferences that everything is really representative, that they

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<v Speaker 10>have a really good mix. Some of these speakers who

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<v Speaker 10>were confirmed as allies have even said I'm not going

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<v Speaker 10>to appear at a conference unless there's a really decent

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<v Speaker 10>representative mix, and so when they pulled out, they said

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<v Speaker 10>that they had been duped and that their clauses had

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<v Speaker 10>you know, it didn't pass muster for the clauses.

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<v Speaker 4>Okay, Bloomberg's Elliser, and thank you so much for that reporting.

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<v Speaker 4>Coming up here on Bloomberg Technology, we're going to talk

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<v Speaker 4>about the state of the consumer. As Amazon says, Black

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<v Speaker 4>Friday and Cyber Monday shopping broke records this year.

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<v Speaker 3>More on that next. This is Bloomberg Technology.

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<v Speaker 11>The consumers had a remarkable resilience, but I do think

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<v Speaker 11>the momentum will start to slow, and I mean evidence

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<v Speaker 11>of that is that we are seeing more usage of

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<v Speaker 11>credit cards to fund these transactions.

0:12:41.840 --> 0:12:44.400
<v Speaker 6>To credit card balances are at all time highs.

0:12:45.360 --> 0:12:47.520
<v Speaker 11>Your colleague was just speaking about the fact that by

0:12:47.600 --> 0:12:50.439
<v Speaker 11>now pay later is factoring into this as well. We're

0:12:50.440 --> 0:12:55.079
<v Speaker 11>seeing delinquencies across the consumer spectrum, across the full income spectrum,

0:12:55.160 --> 0:12:59.400
<v Speaker 11>start to increase from very low levels, but increase nonetheless.

0:13:00.440 --> 0:13:03.520
<v Speaker 4>A mega Black Friday in Cyber Monday. But Lisa Hornby

0:13:03.600 --> 0:13:06.359
<v Speaker 4>strowed as earlier on the state of consumers, some concerns

0:13:06.760 --> 0:13:08.840
<v Speaker 4>and a focus after what was a strong weekend for

0:13:08.880 --> 0:13:12.880
<v Speaker 4>e commerce sales, travel Tuesday is now underway and when

0:13:12.880 --> 0:13:14.559
<v Speaker 4>we go up to the skies with Tom White of

0:13:14.640 --> 0:13:18.120
<v Speaker 4>DA Davidson. So the hot categories to spend over the weekend,

0:13:18.120 --> 0:13:21.840
<v Speaker 4>we're like consumer electronics and hot wheels, totally rad Do

0:13:21.880 --> 0:13:26.800
<v Speaker 4>you expect to see the same spend at elevated levels

0:13:26.840 --> 0:13:30.000
<v Speaker 4>gains from last year on travel, be it flights, be

0:13:30.120 --> 0:13:31.440
<v Speaker 4>it bit accommodations.

0:13:32.480 --> 0:13:33.800
<v Speaker 12>Yeah, first off, thanks for having me.

0:13:33.880 --> 0:13:35.960
<v Speaker 13>Yeah, look, we're a few you know, we're monitoring the

0:13:35.960 --> 0:13:39.000
<v Speaker 13>consumer closely, but so far it looks quite good. It

0:13:39.000 --> 0:13:41.760
<v Speaker 13>looks like underlying travel the men is still holding up

0:13:41.800 --> 0:13:43.840
<v Speaker 13>quite well based on a number of the data points

0:13:43.840 --> 0:13:47.679
<v Speaker 13>that we track, certainly the big public OTAs online travel

0:13:47.679 --> 0:13:50.360
<v Speaker 13>agencies that we cover all that pretty encouraging things to

0:13:50.400 --> 0:13:53.560
<v Speaker 13>say about how kind of fourth quarter and early twenty

0:13:53.600 --> 0:13:55.920
<v Speaker 13>twenty four travel was shaping up. But even some of

0:13:55.920 --> 0:13:58.600
<v Speaker 13>the third party data, like for example, the TSA checkpoint

0:13:58.679 --> 0:14:02.079
<v Speaker 13>data coded date, so far on the fourth quarter.

0:14:02.120 --> 0:14:03.679
<v Speaker 12>We're up about ten percent on a year of a

0:14:03.760 --> 0:14:04.400
<v Speaker 12>year basis.

0:14:04.480 --> 0:14:06.880
<v Speaker 13>A third quarter was up about eleven percent, so pretty

0:14:06.960 --> 0:14:10.040
<v Speaker 13>kind of stable growth trends. There a handful of other

0:14:10.080 --> 0:14:13.600
<v Speaker 13>surveys from companies like Deloitte, All Point to you know,

0:14:13.679 --> 0:14:17.600
<v Speaker 13>people looking to travel more. You know, this Thanksgiving through

0:14:17.720 --> 0:14:21.080
<v Speaker 13>the mid January across all age groups, all demographics.

0:14:21.120 --> 0:14:22.840
<v Speaker 12>Really so so far, so good.

0:14:22.920 --> 0:14:26.600
<v Speaker 13>But you know, obviously I think Idrid Straits and the

0:14:26.600 --> 0:14:29.280
<v Speaker 13>broader macro a somebody to keep an eye.

0:14:29.560 --> 0:14:30.520
<v Speaker 3>Well that that's a good point.

0:14:30.560 --> 0:14:33.600
<v Speaker 4>So you had that bite around the role that credit

0:14:33.640 --> 0:14:36.400
<v Speaker 4>cards are playing with the consumer. By now pay later

0:14:37.000 --> 0:14:40.560
<v Speaker 4>is how consumers spend on travel. Concern kind of for

0:14:40.600 --> 0:14:43.360
<v Speaker 4>a long term outlook on that market look.

0:14:43.200 --> 0:14:45.560
<v Speaker 13>Certainly for a long term out look, I mean in

0:14:45.600 --> 0:14:48.560
<v Speaker 13>the short term out look. You know, if people are

0:14:49.000 --> 0:14:52.360
<v Speaker 13>stretching themselves a little bit because they still feel the

0:14:52.760 --> 0:14:55.240
<v Speaker 13>lingering effects of being cooped up during COVID and they

0:14:55.240 --> 0:14:59.440
<v Speaker 13>want to prioritize experiences and travel, you know, that'll obviously

0:14:59.480 --> 0:15:01.480
<v Speaker 13>be positive for the online.

0:15:01.160 --> 0:15:02.600
<v Speaker 12>Travel agencies that we cover.

0:15:03.000 --> 0:15:06.200
<v Speaker 13>A longer term though, we need a generally healthy consumer

0:15:06.560 --> 0:15:09.200
<v Speaker 13>who's got discretionary income to spend.

0:15:09.280 --> 0:15:11.440
<v Speaker 12>So I think an easing.

0:15:11.080 --> 0:15:13.280
<v Speaker 13>Of rates or at least the stability and rates, and

0:15:13.840 --> 0:15:16.240
<v Speaker 13>you know kind of maybe going into next year would

0:15:16.320 --> 0:15:18.280
<v Speaker 13>you know, be a further kind of positive catalyst for

0:15:18.640 --> 0:15:19.240
<v Speaker 13>travel spending.

0:15:20.160 --> 0:15:22.720
<v Speaker 4>Okay, Tom White of DA Davidson with the travel outlook

0:15:22.960 --> 0:15:24.400
<v Speaker 4>on this Travel Tuesday.

0:15:24.440 --> 0:15:26.560
<v Speaker 3>Thank you, Caroline. What have you got on the ground.

0:15:26.840 --> 0:15:28.640
<v Speaker 2>Well, we're going to go to the consumer a little

0:15:28.680 --> 0:15:31.200
<v Speaker 2>bit more, but the non discretionary type. We want to

0:15:31.240 --> 0:15:33.560
<v Speaker 2>be talking a little bit more about the grocery world after.

0:15:33.600 --> 0:15:36.400
<v Speaker 2>In fact, Amazon just reported for Black Friday in Cyber Monday.

0:15:36.840 --> 0:15:38.800
<v Speaker 2>Well all those hot wheels you were just talking about.

0:15:38.800 --> 0:15:41.080
<v Speaker 2>It broke records this year, customers around the world purchasing

0:15:41.120 --> 0:15:43.640
<v Speaker 2>over one billion items. But let's go into the grocery

0:15:43.640 --> 0:15:46.040
<v Speaker 2>side of the equation. Meredith Bunches with us, Amazon's director

0:15:46.040 --> 0:15:49.520
<v Speaker 2>of worldwide grocery stores. And were the consumers showing up

0:15:49.680 --> 0:15:51.760
<v Speaker 2>in your part of the business as well, Meredith.

0:15:52.600 --> 0:15:53.280
<v Speaker 6>Yes, they were.

0:15:53.360 --> 0:15:56.920
<v Speaker 14>As you mentioned, Amazon had record Black Friday sales, and

0:15:56.960 --> 0:15:59.640
<v Speaker 14>we had great success in the grocery space as well,

0:16:00.040 --> 0:16:03.240
<v Speaker 14>lots of customers shopping online and in store across Full

0:16:03.280 --> 0:16:07.200
<v Speaker 14>Foods and Amazon Fresh, especially taking advantage of our great

0:16:07.200 --> 0:16:09.280
<v Speaker 14>deal that we had on turkey at just forty nine

0:16:09.280 --> 0:16:11.040
<v Speaker 14>cents a pound, which was an amazing deal.

0:16:11.160 --> 0:16:14.000
<v Speaker 6>So yes, a great holiday all around.

0:16:14.480 --> 0:16:17.280
<v Speaker 2>What's interesting, of course, because you do have from Whole

0:16:17.280 --> 0:16:21.160
<v Speaker 2>Foods and more, perhaps luxurious expenditure that you might do

0:16:21.200 --> 0:16:23.520
<v Speaker 2>at a grocery department rather than you go to Fresh.

0:16:23.520 --> 0:16:26.800
<v Speaker 2>And Amazon Essentials basically tickle the boxes on a price perspective,

0:16:26.800 --> 0:16:28.720
<v Speaker 2>and I'm interested as to whether or not you're managing

0:16:28.720 --> 0:16:30.440
<v Speaker 2>to have the one shopping cat that much a little

0:16:30.440 --> 0:16:32.040
<v Speaker 2>bit more for people who want to splash out at

0:16:32.080 --> 0:16:35.080
<v Speaker 2>Whole Foods but also get their basics from say Fresh

0:16:35.080 --> 0:16:35.680
<v Speaker 2>for example.

0:16:36.880 --> 0:16:37.960
<v Speaker 6>Yes, absolutely.

0:16:38.160 --> 0:16:41.560
<v Speaker 14>We know that customers have different needs and our goal

0:16:41.720 --> 0:16:45.240
<v Speaker 14>is to meet those needs, whether it's through Whole Foods

0:16:45.240 --> 0:16:48.560
<v Speaker 14>Market or through Amazon Fresh. We also have Amazon Go,

0:16:48.880 --> 0:16:52.240
<v Speaker 14>and each one of those banners provides our customers with

0:16:52.400 --> 0:16:55.040
<v Speaker 14>a different set of groceries. Whether they want to buy

0:16:55.080 --> 0:16:58.320
<v Speaker 14>their sustainable seafood from Whole Foods Market, and then they

0:16:58.360 --> 0:17:02.359
<v Speaker 14>want to get their center store Pringles or Coca Cola

0:17:02.520 --> 0:17:05.840
<v Speaker 14>or just really basic cooking goods at Amazon Fresh, and

0:17:05.880 --> 0:17:07.479
<v Speaker 14>then they want to get some fresh food to go

0:17:07.560 --> 0:17:12.240
<v Speaker 14>from Amazon Go. We really see our holistic grocery offering

0:17:12.359 --> 0:17:14.399
<v Speaker 14>as a way to solve our customer's needs because we

0:17:14.480 --> 0:17:17.600
<v Speaker 14>know that they're shopping across four to five different retailers today.

0:17:17.440 --> 0:17:20.640
<v Speaker 6>Ten and so we think, what if we can yeah,

0:17:20.680 --> 0:17:21.480
<v Speaker 6>go ahead, can I.

0:17:21.400 --> 0:17:26.119
<v Speaker 2>Get it in one delivery yet.

0:17:24.400 --> 0:17:26.720
<v Speaker 14>Not yet, but we are working on that because we

0:17:26.880 --> 0:17:30.320
<v Speaker 14>have everything that the customer wants. We've got the tens

0:17:30.320 --> 0:17:33.040
<v Speaker 14>of thousands of shelf stable items on Amazon dot Com,

0:17:33.119 --> 0:17:35.840
<v Speaker 14>the Whole Foods Market, the Amazon Fresh, the Amazon Go

0:17:36.400 --> 0:17:38.320
<v Speaker 14>and we want to make it as easy as possible

0:17:38.359 --> 0:17:40.760
<v Speaker 14>for customers to get all of that in one shopping

0:17:40.760 --> 0:17:43.040
<v Speaker 14>cart and one grocery delivery. And that is what we

0:17:43.080 --> 0:17:46.560
<v Speaker 14>are working towards because simplifying that relationship where they can

0:17:46.600 --> 0:17:51.400
<v Speaker 14>get everything from one singular relationship with Amazon is really

0:17:51.440 --> 0:17:53.439
<v Speaker 14>how we think we can solve for customers in the

0:17:53.480 --> 0:17:54.200
<v Speaker 14>grocery space.

0:17:54.400 --> 0:17:57.440
<v Speaker 2>And if you look at producing stools of course as well, Meredith,

0:17:57.440 --> 0:17:59.760
<v Speaker 2>you've been bringing in as we are, but do not

0:17:59.800 --> 0:18:02.160
<v Speaker 2>se coffee, but also some of the no more technology

0:18:02.240 --> 0:18:05.199
<v Speaker 2>savvy ways and perhaps just walking out for example. But

0:18:05.520 --> 0:18:08.679
<v Speaker 2>how is that squaring with actually the expansion of bricks

0:18:08.680 --> 0:18:12.159
<v Speaker 2>and water. Are you still rolling out more stores? I

0:18:12.200 --> 0:18:14.199
<v Speaker 2>think it was about one hundred of Whole Food that

0:18:14.280 --> 0:18:15.639
<v Speaker 2>you wanted over the next few years.

0:18:16.840 --> 0:18:18.720
<v Speaker 14>Yes, we are going to continue to open our Whole

0:18:18.720 --> 0:18:21.960
<v Speaker 14>Food's market stores, and we'll do so selectively with Amazon

0:18:22.000 --> 0:18:24.199
<v Speaker 14>Fresh when we see the results that we like and

0:18:24.240 --> 0:18:27.480
<v Speaker 14>as you mentioned, we have relaunched several Amazon Fresh stores

0:18:27.520 --> 0:18:30.840
<v Speaker 14>in the Chicago area in the Los Angeles area. In

0:18:30.880 --> 0:18:33.520
<v Speaker 14>those stores, we've added thousands of new products, We've lowered

0:18:33.560 --> 0:18:35.359
<v Speaker 14>prices across thousands of products.

0:18:35.560 --> 0:18:37.480
<v Speaker 6>We've added new checkout options.

0:18:37.080 --> 0:18:39.440
<v Speaker 14>So customers can use just walk out, they can use

0:18:39.440 --> 0:18:41.879
<v Speaker 14>our dash cart, they can use self checkout, really giving

0:18:41.920 --> 0:18:44.040
<v Speaker 14>them the power to choose how they want to check out.

0:18:44.320 --> 0:18:45.560
<v Speaker 6>Do you also mentioned we've.

0:18:45.359 --> 0:18:48.199
<v Speaker 14>Got Krispy Kreme integrated in the stores with coffee and donuts,

0:18:48.240 --> 0:18:52.160
<v Speaker 14>which makes everybody's shopping trip a lot more delightful. And

0:18:52.560 --> 0:18:55.080
<v Speaker 14>Prime customers can also get an additional ten percent off

0:18:55.080 --> 0:18:57.200
<v Speaker 14>of those stores. And we're really happy with the results

0:18:57.200 --> 0:18:59.439
<v Speaker 14>that we're seeing, and we're going to continue to iterate

0:18:59.480 --> 0:19:02.040
<v Speaker 14>and continue to invent on behalf of the customer and

0:19:02.320 --> 0:19:04.960
<v Speaker 14>look for those results that tell us where we want

0:19:05.000 --> 0:19:05.159
<v Speaker 14>to be.

0:19:05.560 --> 0:19:08.760
<v Speaker 2>What was interesting with the whole refresh refocus that was

0:19:08.800 --> 0:19:12.480
<v Speaker 2>really announced in August was those prime account holders and

0:19:12.560 --> 0:19:15.040
<v Speaker 2>non prime account holders. You started to say, look, you

0:19:15.520 --> 0:19:17.960
<v Speaker 2>combine with us even if you don't have a prime subscription,

0:19:18.280 --> 0:19:21.160
<v Speaker 2>how is that going? How many numbers of people are

0:19:21.359 --> 0:19:24.480
<v Speaker 2>using your groceries when they're not having a Prime subscription.

0:19:25.680 --> 0:19:28.600
<v Speaker 14>Yeah, we were really excited just a few weeks ago

0:19:28.680 --> 0:19:32.119
<v Speaker 14>to launch grocery delivery for customers without a Prime membership

0:19:32.160 --> 0:19:35.160
<v Speaker 14>from Amazon Fresh. Previously, customers needed to be a Prime

0:19:35.200 --> 0:19:37.840
<v Speaker 14>Member in order to access our grocery delivery, and we

0:19:37.920 --> 0:19:42.320
<v Speaker 14>really wanted to democratize our affordable, fast, reliable delivery for everybody,

0:19:42.400 --> 0:19:44.879
<v Speaker 14>whether you're a Prime member or not. That being said,

0:19:44.920 --> 0:19:47.200
<v Speaker 14>being a Prime member still gives you an additional ten

0:19:47.240 --> 0:19:49.679
<v Speaker 14>percent off thousands of items when you shop in store,

0:19:50.000 --> 0:19:52.160
<v Speaker 14>as well as lower delivery.

0:19:51.760 --> 0:19:53.199
<v Speaker 6>Fees for shopping online.

0:19:53.320 --> 0:19:56.320
<v Speaker 14>We're really pleased to see the number of customers that

0:19:56.400 --> 0:20:00.159
<v Speaker 14>are not Prime Members shopping our grocery delivery service we

0:20:00.200 --> 0:20:01.240
<v Speaker 14>continue to roll out.

0:20:01.440 --> 0:20:02.800
<v Speaker 6>We hope god will continue to grow.

0:20:03.280 --> 0:20:05.879
<v Speaker 2>Meredith Branch, thank you so much giving us the insight

0:20:05.960 --> 0:20:07.680
<v Speaker 2>on Amazon and all the worlds of groceries.

0:20:08.040 --> 0:20:11.080
<v Speaker 4>And we we've got coming up yep, A big focus

0:20:11.160 --> 0:20:14.879
<v Speaker 4>on China tech presidents using ping visiting Shanghai today. A

0:20:14.920 --> 0:20:18.560
<v Speaker 4>lot of stories in the news flow. This is Bloomberg Technology.

0:20:29.400 --> 0:20:31.560
<v Speaker 2>Welcome back to Bluemo Technology. I'm Caroline Hid in New

0:20:31.600 --> 0:20:32.440
<v Speaker 2>York and.

0:20:32.440 --> 0:20:34.439
<v Speaker 4>I'm Ed Lovelow in San Francisco. There was a lot

0:20:34.480 --> 0:20:38.200
<v Speaker 4>of news out of China overnight technology stories that impacted markets.

0:20:38.359 --> 0:20:39.719
<v Speaker 4>One of the shares we're looking at is the Hong

0:20:39.840 --> 0:20:43.760
<v Speaker 4>Kong listed shares of sense Time, a Chinese AI company.

0:20:43.760 --> 0:20:45.440
<v Speaker 4>We're going to bring you the full details later in

0:20:45.480 --> 0:20:48.320
<v Speaker 4>the show, but they're subject to a short seller's report

0:20:48.400 --> 0:20:50.640
<v Speaker 4>which did see the shares in Hong Kong closed down

0:20:50.920 --> 0:20:53.360
<v Speaker 4>almost five percent. The other big name, and this has

0:20:53.440 --> 0:20:56.199
<v Speaker 4>continued into the US session, is the ADRs or the

0:20:56.280 --> 0:20:59.600
<v Speaker 4>US listed shares of Pindwo d Woe, the owner of

0:20:59.680 --> 0:21:05.480
<v Speaker 4>team we're talking about online retail, absolutely smashing expectations in

0:21:05.520 --> 0:21:07.840
<v Speaker 4>its earnings in the court have just gone more than

0:21:07.880 --> 0:21:11.199
<v Speaker 4>doubling revenue year on year, coming in twenty five percent

0:21:11.280 --> 0:21:14.840
<v Speaker 4>ahead of consensus, but also really beating on their income.

0:21:14.880 --> 0:21:18.760
<v Speaker 4>The story is Timu really taking shoppers and market share

0:21:19.000 --> 0:21:21.920
<v Speaker 4>from the likes of Sheen, which we've talked about is

0:21:22.359 --> 0:21:24.639
<v Speaker 4>standing by for a US listing at the start the

0:21:24.680 --> 0:21:27.720
<v Speaker 4>next year, but also Amazon some evidence that they're taking

0:21:27.720 --> 0:21:30.280
<v Speaker 4>shoppers from Amazon in other markets as well, and those

0:21:30.400 --> 0:21:34.280
<v Speaker 4>usadrs now up almost nineteen percent eighteen and a half

0:21:34.320 --> 0:21:35.320
<v Speaker 4>percent in the session.

0:21:35.520 --> 0:21:39.080
<v Speaker 2>Carol Andrew Duau a Shanghai based company. Let's talk about

0:21:39.119 --> 0:21:41.639
<v Speaker 2>that a little bit more, because Chinese President's using Ping

0:21:41.800 --> 0:21:44.320
<v Speaker 2>is indeed visiting Shanghai for what is like the first

0:21:44.320 --> 0:21:47.679
<v Speaker 2>time since COVID lockdown, making stops at the Shanghai Futures

0:21:47.720 --> 0:21:51.080
<v Speaker 2>Exchange and several tech giants operating in the megacity to

0:21:51.160 --> 0:21:54.639
<v Speaker 2>try and boost waning private sector sentiment. That's all according

0:21:54.680 --> 0:21:57.640
<v Speaker 2>to local media. Johnny us Now is an expert. Ben

0:21:57.680 --> 0:22:00.720
<v Speaker 2>Harberg is managing partner and MSA capital who actually, well,

0:22:00.760 --> 0:22:03.280
<v Speaker 2>you just had words with Shixingping when he was at

0:22:03.320 --> 0:22:06.040
<v Speaker 2>APEC in San Francisco. Where where it is right now?

0:22:06.119 --> 0:22:08.119
<v Speaker 2>And what is your message to him at the moment,

0:22:08.119 --> 0:22:09.920
<v Speaker 2>and what is his message at this moment by going

0:22:09.920 --> 0:22:11.119
<v Speaker 2>to Shanghai.

0:22:12.520 --> 0:22:14.120
<v Speaker 15>Well, he's trying to stretch his hands out.

0:22:14.160 --> 0:22:17.080
<v Speaker 16>Shanghai was probably one of the most damaged major cities

0:22:18.000 --> 0:22:21.439
<v Speaker 16>by the draconian zero COVID lockdowns. We didn't face the

0:22:21.480 --> 0:22:25.480
<v Speaker 16>same type of shut down in Beijing, and Shanghai was

0:22:25.560 --> 0:22:27.560
<v Speaker 16>kind of seen as a poster child for one that

0:22:27.920 --> 0:22:30.399
<v Speaker 16>had kind of fallen a foul of let's say, central

0:22:30.400 --> 0:22:34.640
<v Speaker 16>government regulations around managing zero COVID and therefore was subjected

0:22:34.680 --> 0:22:38.080
<v Speaker 16>to the most strict lockdowns, and the PTSD that that

0:22:38.240 --> 0:22:41.080
<v Speaker 16>left both for its residents as well as global investors,

0:22:41.119 --> 0:22:42.480
<v Speaker 16>will not soon be forgotten.

0:22:43.040 --> 0:22:46.240
<v Speaker 2>The PDSD that many an investor has is then the

0:22:46.280 --> 0:22:51.320
<v Speaker 2>regulatory crackdown that Shi Jinping had on the tech investment area.

0:22:51.440 --> 0:22:54.840
<v Speaker 2>More broadly, how do you think that investors are seeing

0:22:55.080 --> 0:23:00.520
<v Speaker 2>a post COVID and post regulatory enforcement world for China.

0:23:00.640 --> 0:23:03.000
<v Speaker 17>Well, you know, the regulars are doing everything they can

0:23:03.119 --> 0:23:06.639
<v Speaker 17>to try to assuage those fears that there will be

0:23:06.680 --> 0:23:09.520
<v Speaker 17>an ongoing interference in the markets. And when I had

0:23:09.520 --> 0:23:11.680
<v Speaker 17>the chance to whisper a few thoughts to President and

0:23:11.720 --> 0:23:14.120
<v Speaker 17>She last week, I said, please get your hand out

0:23:14.160 --> 0:23:16.760
<v Speaker 17>of the markets and get a better PR team, because

0:23:16.800 --> 0:23:19.919
<v Speaker 17>you need people that can explain why you're doing what

0:23:19.960 --> 0:23:22.679
<v Speaker 17>you're doing, and explain well ahead of the time that

0:23:22.760 --> 0:23:25.640
<v Speaker 17>it takes place, so that people don't fear that there's

0:23:25.680 --> 0:23:29.160
<v Speaker 17>these unexpected twists and turns and unpredictability that would cause

0:23:29.200 --> 0:23:30.360
<v Speaker 17>them to flee the market.

0:23:31.200 --> 0:23:35.000
<v Speaker 16>And it's that volatility with the strong returns on the

0:23:35.080 --> 0:23:36.960
<v Speaker 16>US side, it will cause a lot of global investors

0:23:37.000 --> 0:23:39.040
<v Speaker 16>to say, why is China worth the risk? If I

0:23:39.040 --> 0:23:41.199
<v Speaker 16>could go put pop my money in the US at

0:23:41.200 --> 0:23:42.120
<v Speaker 16>these kind of returns.

0:23:43.440 --> 0:23:46.280
<v Speaker 4>Shanghai and some of its high tech parks are the

0:23:46.320 --> 0:23:49.439
<v Speaker 4>site of AI development. They're the site of chip design

0:23:49.520 --> 0:23:52.520
<v Speaker 4>firms and actually, to some extent gaming. Twenty four hours

0:23:52.560 --> 0:23:56.280
<v Speaker 4>ago we posed this question about the regulatory crackdown on

0:23:56.320 --> 0:23:57.439
<v Speaker 4>gaming and where we stand now.

0:23:57.520 --> 0:23:58.320
<v Speaker 3>Just have to listen to this.

0:24:00.000 --> 0:24:02.879
<v Speaker 18>But most of the regulatory changes are behind us now

0:24:03.280 --> 0:24:06.480
<v Speaker 18>and that people have some stronger footing to move forward.

0:24:06.600 --> 0:24:09.159
<v Speaker 18>There's still huge amounts of money to be made in

0:24:09.200 --> 0:24:10.359
<v Speaker 18>the Chinese games market.

0:24:12.200 --> 0:24:15.720
<v Speaker 4>Ben That was Lisa Costmus Hansen, partner at NICO Partner's

0:24:15.760 --> 0:24:18.480
<v Speaker 4>President of Nico Partners. She was talking in the context

0:24:18.560 --> 0:24:21.840
<v Speaker 4>of gaming, but broadly across the technology sector.

0:24:22.600 --> 0:24:24.520
<v Speaker 3>Is she now carrying out.

0:24:24.200 --> 0:24:29.639
<v Speaker 4>A supportive policy or is still having some heavy regulatory

0:24:29.640 --> 0:24:33.240
<v Speaker 4>overt tang on those sectors, many of which based in Shanghai.

0:24:34.800 --> 0:24:38.080
<v Speaker 19>I think that regulatory intervention is over and again it

0:24:38.240 --> 0:24:41.560
<v Speaker 19>squares with the type of tone that he took during

0:24:41.600 --> 0:24:44.040
<v Speaker 19>his speeches at APEX, particularly the one that we were

0:24:44.040 --> 0:24:48.560
<v Speaker 19>attending on Wednesday night, where he was really olive branch

0:24:48.680 --> 0:24:50.680
<v Speaker 19>out the state of the Chinese.

0:24:50.400 --> 0:24:51.359
<v Speaker 15>Economy is dire.

0:24:51.840 --> 0:24:55.360
<v Speaker 16>The last thing they need is further shocks and further interventions,

0:24:55.400 --> 0:24:57.320
<v Speaker 16>and in the technology giants that they are seen as

0:24:57.320 --> 0:25:02.480
<v Speaker 16>bell weathers and so don't expect further interventions. That doesn't

0:25:02.480 --> 0:25:04.440
<v Speaker 16>mean that the world will believe that. We've got to

0:25:04.480 --> 0:25:06.280
<v Speaker 16>show that through proof. And again that's why they've really

0:25:06.280 --> 0:25:09.119
<v Speaker 16>got to come out clearly and state that just having

0:25:09.200 --> 0:25:10.520
<v Speaker 16>photo ops at Sense.

0:25:10.359 --> 0:25:13.479
<v Speaker 15>Time or Pinduo Duo or sm C won't do it.

0:25:14.000 --> 0:25:17.000
<v Speaker 16>They've got to make that clear to investors and then

0:25:17.040 --> 0:25:19.040
<v Speaker 16>show it over the coming year before a lot of

0:25:19.040 --> 0:25:20.240
<v Speaker 16>that trust can be rebuilt.

0:25:21.320 --> 0:25:26.240
<v Speaker 4>From a pure technology and competence perspective, you see evidence

0:25:26.280 --> 0:25:28.560
<v Speaker 4>that China is standing on its own two feet.

0:25:29.840 --> 0:25:30.320
<v Speaker 15>Certainly.

0:25:30.760 --> 0:25:33.240
<v Speaker 16>I mean the pace at which China has been able

0:25:33.280 --> 0:25:36.760
<v Speaker 16>to develop its own chips is beats any kind of

0:25:36.800 --> 0:25:41.240
<v Speaker 16>global precedent. You know, China's numbers in terms of publications

0:25:41.280 --> 0:25:44.920
<v Speaker 16>and magazines in Nature magazines or you know, the other

0:25:45.000 --> 0:25:48.200
<v Speaker 16>kind of scientific sources is off the charts.

0:25:48.280 --> 0:25:50.480
<v Speaker 15>Numbers of patents being filed.

0:25:51.280 --> 0:25:54.240
<v Speaker 16>You know, the ability of Huawei and now obviously is

0:25:54.280 --> 0:25:56.360
<v Speaker 16>Shoe its own operating system with Harmony.

0:25:57.520 --> 0:25:59.080
<v Speaker 15>We are truly now.

0:25:58.880 --> 0:26:01.840
<v Speaker 16>Witnessing what I think a lot of us, you know,

0:26:01.880 --> 0:26:04.840
<v Speaker 16>Poo Pooon maybe early on, which was kind of the

0:26:04.880 --> 0:26:07.560
<v Speaker 16>reality of a truly coupling. And we are finding ourselves

0:26:07.600 --> 0:26:09.960
<v Speaker 16>in a balconized world where there will be a set

0:26:10.000 --> 0:26:14.359
<v Speaker 16>of Chinese hardware, operating systems, app stores, and customer bases,

0:26:14.400 --> 0:26:18.879
<v Speaker 16>and then those balcainized from those of Western producers.

0:26:19.440 --> 0:26:22.800
<v Speaker 2>How balkanized will the investor base eventure REBN. This is

0:26:22.840 --> 0:26:25.359
<v Speaker 2>what you deal in day to day, accessing pools of

0:26:25.400 --> 0:26:28.400
<v Speaker 2>liquidity from the West to be going into China. And

0:26:28.680 --> 0:26:30.760
<v Speaker 2>at this time we're looking at Sheen, which, of course

0:26:30.840 --> 0:26:32.840
<v Speaker 2>you know would say it's not a Chinese company, but

0:26:32.880 --> 0:26:34.920
<v Speaker 2>it once was, and ultimately a lot of it stock

0:26:35.000 --> 0:26:37.159
<v Speaker 2>comes from there, but it's now based in Singapore. But

0:26:37.200 --> 0:26:41.160
<v Speaker 2>they're gonna be tapping an American investor once again. How

0:26:41.200 --> 0:26:43.600
<v Speaker 2>do you see the liquidity being brought to bear for

0:26:43.680 --> 0:26:45.080
<v Speaker 2>Chinese investments.

0:26:46.200 --> 0:26:47.960
<v Speaker 16>It's been tough this year. I think a lot of

0:26:47.960 --> 0:26:50.399
<v Speaker 16>that again down to performance. So as you know, we

0:26:50.600 --> 0:26:54.600
<v Speaker 16>have further first negative FBI since nineteen ninety eight in China.

0:26:54.800 --> 0:26:56.879
<v Speaker 16>We had seventy five percent of the capital that flowed

0:26:56.880 --> 0:26:58.920
<v Speaker 16>into China this year and the public markets flow out

0:26:58.920 --> 0:26:59.920
<v Speaker 16>about twenty five billion.

0:27:00.720 --> 0:27:03.520
<v Speaker 15>But I think again a lot of that is returns driven.

0:27:03.720 --> 0:27:07.480
<v Speaker 16>The capital that is not returns influenced is being scared

0:27:07.480 --> 0:27:10.399
<v Speaker 16>away for let's say, non fundamental reasons, and that I

0:27:10.400 --> 0:27:13.480
<v Speaker 16>think pertains more to geopolitics. And those investors are looking

0:27:13.480 --> 0:27:16.520
<v Speaker 16>for opportunities to invest in China still they believe it

0:27:16.520 --> 0:27:18.879
<v Speaker 16>fundamentally is a growth opportunity, but they want to do

0:27:18.920 --> 0:27:21.680
<v Speaker 16>so in a way that helps them navigate these geopolitical uncertainty.

0:27:21.760 --> 0:27:23.520
<v Speaker 16>So they want to know that the companies they're investing

0:27:23.560 --> 0:27:26.440
<v Speaker 16>in aren't going to aid in the VET the PLA,

0:27:26.600 --> 0:27:30.399
<v Speaker 16>They're not going to necessarily compromise American values, and so

0:27:30.440 --> 0:27:33.840
<v Speaker 16>I think companies that can prove that ILK are going

0:27:33.840 --> 0:27:37.600
<v Speaker 16>to continue to see and attract capital if they can

0:27:38.119 --> 0:27:40.639
<v Speaker 16>return the type of profile that's required to kind of

0:27:40.640 --> 0:27:44.480
<v Speaker 16>compete with those US opportunity costs. And so I think

0:27:44.520 --> 0:27:47.800
<v Speaker 16>that capital will return, but that takes the stability, and

0:27:47.840 --> 0:27:50.040
<v Speaker 16>those companies that are not on those that they're falling

0:27:50.040 --> 0:27:52.880
<v Speaker 16>a file that the likes of sense Time four Paradigm

0:27:52.960 --> 0:27:56.560
<v Speaker 16>or those that are kind of have connectivity to CCP

0:27:56.720 --> 0:27:59.439
<v Speaker 16>entites or the PLA, I think they will track a

0:27:59.440 --> 0:28:02.680
<v Speaker 16>lot less capital because of those geo political concerns going forward.

0:28:03.880 --> 0:28:06.320
<v Speaker 4>Then we were just showing the performance of the Nasdaq

0:28:06.840 --> 0:28:09.240
<v Speaker 4>Golden Dragon Index year. Today, I think it's trailing the

0:28:09.320 --> 0:28:11.119
<v Speaker 4>end and as that one hundred and in s and

0:28:11.160 --> 0:28:13.960
<v Speaker 4>P five hundred. Either way, what do you see as

0:28:14.000 --> 0:28:17.240
<v Speaker 4>being the twenty twenty four story for China tech?

0:28:19.920 --> 0:28:23.040
<v Speaker 15>We have to be ever bullish, and I really am.

0:28:23.119 --> 0:28:26.320
<v Speaker 16>I mean I'm talking my own my own personal book

0:28:26.320 --> 0:28:28.280
<v Speaker 16>in terms of what I put my money into.

0:28:28.800 --> 0:28:31.040
<v Speaker 15>The numbers are irrationally discounted.

0:28:31.119 --> 0:28:35.399
<v Speaker 16>That Ali Baba is trading outern near its IPO valuation

0:28:35.560 --> 0:28:40.040
<v Speaker 16>yet with ten times increase in revenue makes no logical sense.

0:28:40.760 --> 0:28:42.520
<v Speaker 16>And again, if we can sustain the growth, and I

0:28:42.520 --> 0:28:44.800
<v Speaker 16>think China will hit its five percent target this year.

0:28:45.240 --> 0:28:48.920
<v Speaker 16>The IMF even raised that target to above five heading

0:28:48.960 --> 0:28:50.400
<v Speaker 16>into the tail end of this year.

0:28:50.920 --> 0:28:52.000
<v Speaker 15>I think that China.

0:28:51.760 --> 0:28:53.280
<v Speaker 20>Has the tools to deploy.

0:28:53.680 --> 0:28:56.040
<v Speaker 15>The fundamentals are sound in the economy.

0:28:56.320 --> 0:28:59.120
<v Speaker 16>The real estate picture is overblown in terms of the

0:28:59.120 --> 0:29:01.520
<v Speaker 16>impact it will have the true economic drivers and the

0:29:01.560 --> 0:29:06.200
<v Speaker 16>economy is not a Leman moment. And therefore, you know,

0:29:06.240 --> 0:29:09.280
<v Speaker 16>we are actually piling into Chinese equities and taking them

0:29:09.320 --> 0:29:12.080
<v Speaker 16>out of the American ones that we think are probably

0:29:12.120 --> 0:29:15.280
<v Speaker 16>fully priced at this point, just can't manage to sustain

0:29:15.360 --> 0:29:17.960
<v Speaker 16>this type of upside that we've experienced.

0:29:17.640 --> 0:29:18.240
<v Speaker 15>Throughout this year.

0:29:18.280 --> 0:29:21.720
<v Speaker 16>So I'm a China ball heading into next year, even

0:29:21.800 --> 0:29:24.240
<v Speaker 16>if it's a more modest ball than I would have

0:29:24.280 --> 0:29:27.000
<v Speaker 16>been in that kind of growth spurt from twenty seventeen

0:29:27.080 --> 0:29:28.280
<v Speaker 16>to twenty twenty one.

0:29:29.280 --> 0:29:31.600
<v Speaker 4>All Right, China bull light will come back to you

0:29:31.680 --> 0:29:33.360
<v Speaker 4>at some point in twenty twenty four and check in.

0:29:33.400 --> 0:29:36.760
<v Speaker 4>Ben Harberg, managing partner of MSA Capital, thank you so much.

0:29:36.840 --> 0:29:38.080
<v Speaker 4>I want to go back to that story that I

0:29:38.080 --> 0:29:41.200
<v Speaker 4>was talking about at the markets context since Time Group

0:29:41.280 --> 0:29:45.240
<v Speaker 4>shares plummeted there most since April. After short seller Grizzly

0:29:45.280 --> 0:29:49.600
<v Speaker 4>Research released the report citing documents and insiders which accused

0:29:49.600 --> 0:29:53.320
<v Speaker 4>the Chinese AI company of inflating its revenues. The stock

0:29:53.400 --> 0:29:56.360
<v Speaker 4>tumbled as much as nine point seven percent before closing

0:29:56.400 --> 0:29:59.080
<v Speaker 4>down about five percent lower in Hong Kong, and a

0:29:59.160 --> 0:30:02.120
<v Speaker 4>filing to the exchange since Time said the report is

0:30:02.240 --> 0:30:16.160
<v Speaker 4>quote without merit and contains unfounded allegations. Okay, it's time

0:30:16.200 --> 0:30:17.800
<v Speaker 4>for talking tech and first stuff in the news. A

0:30:17.880 --> 0:30:21.560
<v Speaker 4>Toronto based hedge fund building a steak in Twilio is

0:30:21.600 --> 0:30:24.960
<v Speaker 4>reportedly pushing for a sale. Reports from the Information say

0:30:25.040 --> 0:30:28.080
<v Speaker 4>Ants and Funds send a letter to the software company's

0:30:28.360 --> 0:30:32.200
<v Speaker 4>board of directors urging Twilio to either sell or divest

0:30:32.240 --> 0:30:35.000
<v Speaker 4>its data and applications business Ants and steak in. Twilio

0:30:35.320 --> 0:30:38.440
<v Speaker 4>is said to be worth about fifty million US dollars,

0:30:38.520 --> 0:30:40.920
<v Speaker 4>and in an effort to grow its AI footprint, Dell

0:30:41.200 --> 0:30:45.600
<v Speaker 4>has agreed to provide computing hardware to artificial intelligence startup INBEW.

0:30:45.880 --> 0:30:48.040
<v Speaker 4>The one hundred and fifty million dollar deal will supply

0:30:48.080 --> 0:30:51.040
<v Speaker 4>and View with Dell servers in order to process vast

0:30:51.080 --> 0:30:53.640
<v Speaker 4>amounts of data in View as one of the handful

0:30:53.640 --> 0:30:58.080
<v Speaker 4>of AI startups building its models from scratch. Plus Adobe's

0:30:58.080 --> 0:31:01.560
<v Speaker 4>twenty billion dollar purchase of DESI NIGN software maker Figma,

0:31:01.680 --> 0:31:05.040
<v Speaker 4>is at risk of being blocked by the UK's Competition

0:31:05.160 --> 0:31:08.280
<v Speaker 4>and Markets Authority. The agency says the deal could threaten

0:31:08.360 --> 0:31:12.440
<v Speaker 4>competition in product design software and reduce the possibility of

0:31:12.520 --> 0:31:14.840
<v Speaker 4>new products in that market. These notes are pretty in

0:31:14.880 --> 0:31:18.160
<v Speaker 4>line with the EUS regulator, which sent Adobe a list

0:31:18.160 --> 0:31:20.520
<v Speaker 4>of objections earlier this month.

0:31:20.600 --> 0:31:22.000
<v Speaker 3>Caroline Well, Let's stay.

0:31:21.800 --> 0:31:24.240
<v Speaker 2>In the region for a moment ed because European biotech

0:31:24.280 --> 0:31:26.920
<v Speaker 2>startup Cradle is on the path to expanding its use

0:31:26.920 --> 0:31:30.000
<v Speaker 2>of generative AI in the name of science. Today, Cradle

0:31:30.000 --> 0:31:32.120
<v Speaker 2>is announcing twenty four million dollars in this series A

0:31:32.240 --> 0:31:35.320
<v Speaker 2>funding led by Index Ventures, taking the total raise to

0:31:35.360 --> 0:31:37.680
<v Speaker 2>thirty three million dollars. For more on how these funds

0:31:37.680 --> 0:31:39.600
<v Speaker 2>are going to be used, with police to welcome the CEO,

0:31:39.720 --> 0:31:44.640
<v Speaker 2>Steph van Griechen and Steff Welcome using generative AI, using

0:31:44.680 --> 0:31:48.760
<v Speaker 2>machine learning. You're helping biologists what basically design more efficiently,

0:31:48.800 --> 0:31:51.600
<v Speaker 2>effectively less money. How do you do this stuff?

0:31:52.720 --> 0:31:56.200
<v Speaker 21>Yeah, so we're using generative AI to help scientists teams

0:31:56.200 --> 0:32:00.240
<v Speaker 21>to engineer your proteins that will basically help them to

0:32:00.520 --> 0:32:02.760
<v Speaker 21>get to the types of bio based products that they

0:32:02.800 --> 0:32:06.280
<v Speaker 21>want to bring into the market a lot faster. It's

0:32:06.320 --> 0:32:08.560
<v Speaker 21>a little bit akin to how large language models are

0:32:08.560 --> 0:32:12.400
<v Speaker 21>being used in natural language, but then for biological sequences

0:32:12.400 --> 0:32:12.960
<v Speaker 21>from DNA.

0:32:13.800 --> 0:32:17.160
<v Speaker 2>You've got Johnson and Johnson Innovation and other zimes, Twist

0:32:17.200 --> 0:32:19.960
<v Speaker 2>Buy Science as some of your companies. You've already on

0:32:20.000 --> 0:32:23.920
<v Speaker 2>boarded the money you use. Now, how does that accelerate

0:32:24.040 --> 0:32:26.920
<v Speaker 2>onboarding more? What is it are you investing in talent

0:32:27.040 --> 0:32:29.920
<v Speaker 2>in AI labs? Where you are in the Netherlands or Switzerland.

0:32:31.040 --> 0:32:31.800
<v Speaker 20>Yeah, definitely.

0:32:31.840 --> 0:32:34.440
<v Speaker 21>So we're scaling our go to market with this money,

0:32:34.480 --> 0:32:37.760
<v Speaker 21>as well as our own in house data collection. I

0:32:37.760 --> 0:32:40.440
<v Speaker 21>think what's a little bit different in biological research is

0:32:40.440 --> 0:32:42.320
<v Speaker 21>that a lot of the data that you need in

0:32:42.400 --> 0:32:44.440
<v Speaker 21>order to train these machine learning models you can just

0:32:44.440 --> 0:32:46.920
<v Speaker 21>find on the internet because people are not publishing their

0:32:46.960 --> 0:32:49.800
<v Speaker 21>IP and their experimental results. And so we're building out

0:32:49.800 --> 0:32:52.320
<v Speaker 21>some of our in house lab capabilities, and obviously we

0:32:52.360 --> 0:32:55.760
<v Speaker 21>will continue to train large language models and expand our

0:32:56.400 --> 0:32:58.640
<v Speaker 21>mL research team step.

0:32:58.680 --> 0:33:00.800
<v Speaker 4>There's a large body of work gone the use of

0:33:01.760 --> 0:33:08.720
<v Speaker 4>generative AI tools in proteins in drug discovery. The whole

0:33:08.760 --> 0:33:12.240
<v Speaker 4>point is largely to expedite what is a highly regulated

0:33:12.280 --> 0:33:15.560
<v Speaker 4>and slow process. Where you are in Europe, is there

0:33:15.600 --> 0:33:18.840
<v Speaker 4>regulatory support for if your tech works, you can actually

0:33:18.840 --> 0:33:20.640
<v Speaker 4>go out and make an impact in the real world.

0:33:21.760 --> 0:33:23.760
<v Speaker 21>Yeah, certainly. I mean, luckily for us, a lot of

0:33:23.800 --> 0:33:26.840
<v Speaker 21>the products that people are building today are already being regulated.

0:33:26.880 --> 0:33:28.640
<v Speaker 21>So if you want to bring a drug market up,

0:33:28.680 --> 0:33:30.920
<v Speaker 21>you already have to go to the FDA or the

0:33:30.920 --> 0:33:33.440
<v Speaker 21>European Drug Authority, and same for food products that you

0:33:33.520 --> 0:33:36.280
<v Speaker 21>might bring into the market. Where we really show up

0:33:36.360 --> 0:33:38.560
<v Speaker 21>is in sort of the research and development stages for

0:33:38.600 --> 0:33:41.680
<v Speaker 21>these sector products. So if you're in pharmaceuticals, it can

0:33:41.720 --> 0:33:44.360
<v Speaker 21>easily take four years before you go into a clinical

0:33:44.400 --> 0:33:47.160
<v Speaker 21>trial and actually test whether your drugs are FICA safe

0:33:47.440 --> 0:33:51.360
<v Speaker 21>and useful for people, and we really cut that initial

0:33:51.400 --> 0:33:54.880
<v Speaker 21>part of drug discovery in half. Very similarly, a lot

0:33:54.880 --> 0:33:59.280
<v Speaker 21>of people are now using bio based products and selling

0:33:59.320 --> 0:34:01.479
<v Speaker 21>them to people. For example, you might have wandered at

0:34:01.480 --> 0:34:04.000
<v Speaker 21>some point why you might detergents keep working at lower temperatures.

0:34:04.280 --> 0:34:06.520
<v Speaker 20>That's because we're increasingly using.

0:34:06.360 --> 0:34:10.800
<v Speaker 21>Enzymes like biologicals in the formulations. And also, these types

0:34:10.800 --> 0:34:13.000
<v Speaker 21>of products are really expensive to bring to market and

0:34:13.680 --> 0:34:15.760
<v Speaker 21>tens of millions of dollars worth of R and D.

0:34:15.960 --> 0:34:18.400
<v Speaker 21>I think really the promise of generative AI in this

0:34:18.480 --> 0:34:21.760
<v Speaker 21>space is to significantly reduce the amount of time required

0:34:21.920 --> 0:34:24.040
<v Speaker 21>to do the R and D for these types of projects,

0:34:24.360 --> 0:34:27.160
<v Speaker 21>therefore allowing our customers to bring those types of products

0:34:27.160 --> 0:34:28.120
<v Speaker 21>to market a lot faster.

0:34:29.400 --> 0:34:33.040
<v Speaker 4>Steff, just for clarity, say, what is it that Cradle

0:34:33.200 --> 0:34:36.640
<v Speaker 4>has that's uniquely yours? Is it the underlying large language

0:34:36.680 --> 0:34:40.640
<v Speaker 4>model that you've written, trained and then now using yourselves.

0:34:42.320 --> 0:34:43.840
<v Speaker 20>Yeah, it's basically two things.

0:34:43.880 --> 0:34:47.520
<v Speaker 21>One is indeed those large language models that help get

0:34:47.520 --> 0:34:50.600
<v Speaker 21>our customers to outcomes much faster. I think secondly is

0:34:50.640 --> 0:34:53.279
<v Speaker 21>we've collected a lot of proprietary data inside of our

0:34:53.360 --> 0:34:55.879
<v Speaker 21>laboratory that we use to train these models that make

0:34:55.960 --> 0:34:59.200
<v Speaker 21>it really easy and sort of usable for a lot

0:34:59.200 --> 0:35:04.040
<v Speaker 21>of our customers. And I think finally, software in research

0:35:04.040 --> 0:35:06.440
<v Speaker 21>and development for these types of products is still very early.

0:35:06.760 --> 0:35:09.960
<v Speaker 21>We build very intuitive web based software that scientists and

0:35:09.960 --> 0:35:11.200
<v Speaker 21>experimentalists can use.

0:35:11.080 --> 0:35:11.520
<v Speaker 12>In the lab.

0:35:12.480 --> 0:35:15.839
<v Speaker 2>I'm sure the vcs who've backed this latest round love

0:35:15.880 --> 0:35:17.800
<v Speaker 2>what you're doing now, but they also love the background

0:35:17.840 --> 0:35:19.920
<v Speaker 2>of the team and new stuff. Of course, you were

0:35:20.320 --> 0:35:24.120
<v Speaker 2>part of product leadership over at Google AI at Machine Intelligence.

0:35:24.600 --> 0:35:27.760
<v Speaker 2>What do you make of the current tearing apart almost

0:35:27.760 --> 0:35:29.959
<v Speaker 2>of itself slightly of the way in which we should

0:35:29.960 --> 0:35:34.080
<v Speaker 2>be developing generive AI, in particular the race or the slowdown?

0:35:34.160 --> 0:35:35.960
<v Speaker 2>Where do you come out and that having worked at

0:35:36.480 --> 0:35:38.239
<v Speaker 2>a force such as Google.

0:35:39.560 --> 0:35:42.040
<v Speaker 21>Yeah, I mean I think there's still an acceleration happening.

0:35:42.520 --> 0:35:45.120
<v Speaker 21>I personally am most excited in some of the application

0:35:45.200 --> 0:35:48.000
<v Speaker 21>domains that are related to science, like can we get

0:35:48.000 --> 0:35:50.960
<v Speaker 21>people to learn learn a lot more about something that

0:35:51.000 --> 0:35:55.080
<v Speaker 21>they're researching a lot faster in things like electric engineering

0:35:55.200 --> 0:35:57.239
<v Speaker 21>and things like mechanical engineering.

0:35:56.760 --> 0:35:57.960
<v Speaker 20>In places like biology.

0:35:58.200 --> 0:36:01.279
<v Speaker 21>I think there's an incredible amount of tapped applications for

0:36:02.200 --> 0:36:06.040
<v Speaker 21>generative AI. Obviously, you know the races are offered some

0:36:06.120 --> 0:36:08.960
<v Speaker 21>of the chatbots, and I wish, you know, my former

0:36:09.000 --> 0:36:12.040
<v Speaker 21>employer as well as Open AI a lot of luck.

0:36:12.440 --> 0:36:14.480
<v Speaker 21>I think we're just at the beginning, to be honest.

0:36:15.320 --> 0:36:19.480
<v Speaker 4>Steph, you and you're founding members of the company are

0:36:19.480 --> 0:36:21.520
<v Speaker 4>in Europe, but your origins are here in the Bay

0:36:21.560 --> 0:36:24.320
<v Speaker 4>Area where I am. Kind of what is the benefit

0:36:24.400 --> 0:36:28.480
<v Speaker 4>of launching and growing a company in Europe versus traditional

0:36:28.480 --> 0:36:29.200
<v Speaker 4>Silicon Valley.

0:36:30.480 --> 0:36:32.760
<v Speaker 20>Yeah, certainly. I mean there's some pros and cons.

0:36:33.160 --> 0:36:35.399
<v Speaker 21>I think on the pro side, the access to really

0:36:35.480 --> 0:36:38.560
<v Speaker 21>high quality talent for US is really amazing here. You know,

0:36:38.600 --> 0:36:40.800
<v Speaker 21>I wouldn't want to be a founder fighting for m

0:36:40.920 --> 0:36:42.920
<v Speaker 21>L researchers in the Bay Area right now because lots

0:36:42.960 --> 0:36:44.520
<v Speaker 21>of people are trying to hire, and I think there's

0:36:44.520 --> 0:36:46.080
<v Speaker 21>a lot of talent here that doesn't want to move

0:36:46.120 --> 0:36:48.000
<v Speaker 21>to the US, that would want to work for.

0:36:48.000 --> 0:36:49.040
<v Speaker 20>A company like Cradle.

0:36:49.640 --> 0:36:52.239
<v Speaker 21>I think secondly, and that is for us more specifically,

0:36:52.680 --> 0:36:55.640
<v Speaker 21>you know, a very large contingent of companies that are

0:36:55.680 --> 0:36:58.480
<v Speaker 21>in biofarm and biotechnology are based out of Europe. You know,

0:36:59.239 --> 0:37:01.279
<v Speaker 21>myself am in Eric in Switzerland right now, and so

0:37:01.640 --> 0:37:04.239
<v Speaker 21>some of the large companies like Nevada's Rush, they're all

0:37:04.280 --> 0:37:05.120
<v Speaker 21>based out of Europe.

0:37:07.040 --> 0:37:18.840
<v Speaker 4>All right, Oh, thanks to Stefan greg and CEO of Cradle. Okay,

0:37:18.880 --> 0:37:21.759
<v Speaker 4>Tesla's cyber truck is almost here, but it's not without

0:37:21.760 --> 0:37:24.880
<v Speaker 4>its challenges. Even as the company is about start deliveries

0:37:24.920 --> 0:37:29.400
<v Speaker 4>on Thursday, a splashy Eventlon Musk's already lamenting that Tesla's

0:37:29.440 --> 0:37:31.480
<v Speaker 4>dug its own grave with it. Let's bring in bloembols

0:37:31.520 --> 0:37:33.319
<v Speaker 4>down a whole who's been writing in about this on

0:37:33.400 --> 0:37:37.320
<v Speaker 4>Bloomberg dot com. I guess the idea is that technologically,

0:37:37.480 --> 0:37:41.640
<v Speaker 4>from an engineering perspective, from a battery perspective, this is

0:37:41.760 --> 0:37:44.520
<v Speaker 4>a lot Yeah.

0:37:44.520 --> 0:37:46.200
<v Speaker 22>I mean, I think a lot of people have focused

0:37:46.239 --> 0:37:48.680
<v Speaker 22>on the cyber truck and the steel, which is its

0:37:48.680 --> 0:37:52.560
<v Speaker 22>own challenge. But Musk has warned repeatedly that this truck

0:37:52.600 --> 0:37:54.560
<v Speaker 22>has a lot of bells and whistles, there's a lot

0:37:54.600 --> 0:37:57.480
<v Speaker 22>of new technology in it, so it's going to be

0:37:57.520 --> 0:38:00.799
<v Speaker 22>difficult to manufacture in high volumes for that reason, and

0:38:00.880 --> 0:38:03.280
<v Speaker 22>he's you know, very clearly stated on the last earnings

0:38:03.320 --> 0:38:03.680
<v Speaker 22>call that.

0:38:03.600 --> 0:38:06.040
<v Speaker 6>They're not going to reach high volume for quite a while.

0:38:06.840 --> 0:38:11.480
<v Speaker 2>Bells and whistles was exactly what they did for the X. Well,

0:38:11.640 --> 0:38:13.440
<v Speaker 2>that then goes so well from a sales perspective, So

0:38:13.440 --> 0:38:15.879
<v Speaker 2>I'm interested why he's going back for more in this way?

0:38:15.920 --> 0:38:16.560
<v Speaker 2>Why do this?

0:38:18.120 --> 0:38:19.799
<v Speaker 22>Yeah, I mean, that's what really struck me is I

0:38:19.960 --> 0:38:22.239
<v Speaker 22>listened to him talk about the cyber truck. He kept

0:38:22.239 --> 0:38:24.239
<v Speaker 22>saying these phrases, and I was like, oh my god,

0:38:24.280 --> 0:38:27.000
<v Speaker 22>this sounds like the Model X all over again, which

0:38:27.120 --> 0:38:30.600
<v Speaker 22>you know, they eventually lamented and sort of acknowledged that

0:38:30.880 --> 0:38:33.439
<v Speaker 22>the Model X suffered from hubris, and I just sort

0:38:33.440 --> 0:38:35.719
<v Speaker 22>of fear that we're about to see this all over again.

0:38:35.800 --> 0:38:36.880
<v Speaker 6>I mean, it's.

0:38:36.840 --> 0:38:40.400
<v Speaker 22>New battery architecture, it is you know, rear wear stealing,

0:38:40.480 --> 0:38:43.879
<v Speaker 22>it's a new steering wheel, it's the steel, it's a

0:38:44.000 --> 0:38:46.520
<v Speaker 22>sound system, I mean, and we don't even really have

0:38:46.640 --> 0:38:49.360
<v Speaker 22>real specs yet. So I think that there's probably a

0:38:49.360 --> 0:38:52.759
<v Speaker 22>lot of great surprises that will delight consumers when they

0:38:52.800 --> 0:38:56.399
<v Speaker 22>do the big reveal on Thursday, But manufacturing and high

0:38:56.480 --> 0:38:58.880
<v Speaker 22>volume is just going to be rocky, and Tesla itself

0:38:58.880 --> 0:38:59.759
<v Speaker 22>has basically said this.

0:39:00.840 --> 0:39:04.000
<v Speaker 4>I remember being in Hawthorne twenty nineteen and cyber truck

0:39:04.120 --> 0:39:07.200
<v Speaker 4>rolls on stage and you're like, no way, no way,

0:39:07.760 --> 0:39:11.080
<v Speaker 4>and then friends from Vauhausen throws the ball, it smashes,

0:39:11.280 --> 0:39:13.279
<v Speaker 4>and yet here we are done and behind schedule, but

0:39:13.320 --> 0:39:14.160
<v Speaker 4>an actual product.

0:39:15.680 --> 0:39:17.960
<v Speaker 22>Yeah, and I think the big question will be, so

0:39:18.920 --> 0:39:21.520
<v Speaker 22>how many do they hand over on Thursday? My understanding

0:39:21.560 --> 0:39:23.480
<v Speaker 22>is that it's supposed to be roughly ten. Are they

0:39:23.480 --> 0:39:27.839
<v Speaker 22>to employees, to bonifide consumers, to sort of trusted consumers

0:39:27.840 --> 0:39:31.480
<v Speaker 22>and influencers. And then when we get the sales you know,

0:39:31.560 --> 0:39:34.799
<v Speaker 22>quarterly sales and delivery figures in January, like how many

0:39:34.840 --> 0:39:37.920
<v Speaker 22>cyber trucks are on that list? So you know, I

0:39:37.960 --> 0:39:40.440
<v Speaker 22>think they've learned lessons obviously, but they seem like they

0:39:40.480 --> 0:39:43.440
<v Speaker 22>are repeating some mistakes that they made with the X

0:39:43.440 --> 0:39:46.600
<v Speaker 22>in terms of just you know, really packing this vehicle

0:39:46.640 --> 0:39:47.880
<v Speaker 22>with a lot of new technology.

0:39:48.680 --> 0:39:52.080
<v Speaker 2>Another part of Elon Inc. Loving the poster behind you

0:39:52.200 --> 0:39:54.440
<v Speaker 2>for the all important podcast you're part of at the

0:39:54.480 --> 0:39:56.520
<v Speaker 2>moment as well, Dana, how we thank you so much

0:39:56.560 --> 0:39:58.360
<v Speaker 2>for that look ahead for Thursday. Meanwhile, that does it

0:39:58.400 --> 0:40:00.120
<v Speaker 2>for this edition, I'm going to make technology and you

0:40:00.120 --> 0:40:02.359
<v Speaker 2>don't want to miss the recap of our podcast, So

0:40:02.680 --> 0:40:04.640
<v Speaker 2>find out on the terminal. You can go online. You

0:40:04.640 --> 0:40:07.440
<v Speaker 2>can go on Apple, Spotify, iHeart, wherever you get your

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<v Speaker 2>consumption of podcasts from New York, from San Francisco, and

0:40:10.920 --> 0:40:13.560
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<v Speaker 2>Technology