WEBVTT - Airbnb's Record Drop and Google I/0

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<v Speaker 1>From Mahart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 4>I'm Caroline Hyde at Bloomberg's world headquarters in New York.

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<v Speaker 4>Ed Ludlow is at Google Io and joins us shortly.

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<v Speaker 5>This is Blombag Technology coming up.

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<v Speaker 4>Full earnings coverage ahead, we have Airbnb suffering its worst

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<v Speaker 4>day ever as a public company, and an interview with

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<v Speaker 4>the Akama CEO on its report. Details they follow. Plus

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<v Speaker 4>we'll cover the world of electric vehicles from Rivian earnings

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<v Speaker 4>to the conversation with CEO of Blink Charging.

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<v Speaker 5>We've got you covered.

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<v Speaker 4>And we cover the latest in artificial intelligence with the

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<v Speaker 4>CEO of Scale AI and go live of course to

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<v Speaker 4>Google Io event. Our our own Ed Ludlow is on

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<v Speaker 4>the gram. At first, let's check in on these markets

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<v Speaker 4>as we assess a little bit of a mood shift today,

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<v Speaker 4>money moving into tech stocks. Why because the inflationary pressure

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<v Speaker 4>dials down a bit CPI print coming in below that

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<v Speaker 4>five percent handle. We therefore have NASDAC of course interest

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<v Speaker 4>straight sensitive tech stocks on the up seven tenths of

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<v Speaker 4>a percent two year yield on the down as we expect,

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<v Speaker 4>maybe the Federal Reserve won't have to hike so hard

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<v Speaker 4>going forward.

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<v Speaker 5>Maybe a pause is on the agenda.

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<v Speaker 4>We're off by almost eight basis points on the two

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<v Speaker 4>year yield the front end of the curve. The US

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<v Speaker 4>dollar index also drops on that view that we get

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<v Speaker 4>a more dubbish tone going forward.

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<v Speaker 5>Move it on, and.

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<v Speaker 4>Let's have a little look at what's happening in the

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<v Speaker 4>world of crypto, because we are indeed seeing dollar lower,

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<v Speaker 4>so crypto on the upside, we're up by one point

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<v Speaker 4>nine percent on the OG that is Bitcoin twenty eight

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<v Speaker 4>thousand is currently where we trade. Though it's interesting that

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<v Speaker 4>we're still seeing some of the moon music around crypto

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<v Speaker 4>just being on the dour side, Let's stick with it.

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<v Speaker 4>Jane Street Group Jump Crypto two of the world's top

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<v Speaker 4>market making firms. They're actually pulling back from trading digital

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<v Speaker 4>assets here in the United States. That's as regulators crack

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<v Speaker 4>down on the industry. Look, Jane Street is going even further.

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<v Speaker 4>It's scaling back at scrypto ambissions globally because regulatorly uncertainty

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<v Speaker 4>has made it difficult for the firm to operate the

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<v Speaker 4>business so much in the world of crypto, so much

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<v Speaker 4>in the world of tech handings. More broadly, let's get

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<v Speaker 4>to it, because Airbnb shares wow volatility there worst day

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<v Speaker 4>in fact on record as after reporting pretty muted Outlook,

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<v Speaker 4>let's get the inside track with Tom White's DA Davidson's

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<v Speaker 4>senior research analyst, And do you think what we heard

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<v Speaker 4>from the company in terms of its forwardlooking guidance vindicates

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<v Speaker 4>the plunge in the share price today?

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<v Speaker 6>Yeah?

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<v Speaker 7>Look, I think you know Airbnb is it's a stock

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<v Speaker 7>that's got a premium valuation relative to its peers, and

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<v Speaker 7>with a premium valuation typically you get elevated expectations, particularly

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<v Speaker 7>around Coraly or ningx prints. So look, we're not surprised

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<v Speaker 7>to see the stock sell off a bit today, you know.

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<v Speaker 7>I think the debate around the shares now is whether

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<v Speaker 7>the guidance, which shows basically increased marketing investment relative to

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<v Speaker 7>what the street was expecting, you know, whether that increase

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<v Speaker 7>spend is really just a timing related issue and just

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<v Speaker 7>sort of a pull forward of marketing from later in

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<v Speaker 7>the year to the beginning of the year, or if

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<v Speaker 7>it's something more structural, so you know, near term numbers

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<v Speaker 7>are going down. You know, that's why the staff is

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<v Speaker 7>going down a bit. But you know, we still see

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<v Speaker 7>value and share of Airbnb over a longer term time horizon.

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<v Speaker 4>I mean overall, when you put together all the analyst

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<v Speaker 4>recommendations and price targets are still they think it's going

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<v Speaker 4>to go high.

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<v Speaker 5>One hundred and thirty two dollars.

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<v Speaker 4>The general price target was seeing seventeen buyers, only fourteen

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<v Speaker 4>cells on the stock overall, and from your perspective, when

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<v Speaker 4>you have a by rating one hundred and twenty seven dollars,

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<v Speaker 4>it is in one hundred and forty dollars price target. Tom,

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<v Speaker 4>What do you make of the macro environment. We're just

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<v Speaker 4>hearing about inflation, the pressure rolling over, But it looks

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<v Speaker 4>as though airline prices are coming down, hotel prices are

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<v Speaker 4>coming down.

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<v Speaker 5>Is that good or bad for Airbnb?

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<v Speaker 7>Well, look, I think any kind of pressure on the consumer,

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<v Speaker 7>any pressure on discretionary spending, is not good for travel

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<v Speaker 7>spending overall. What we've seen though, over the course of

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<v Speaker 7>you know, prior downturns, is that leisure travel spending is

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<v Speaker 7>is quite a resilient category, particularly if you look on

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<v Speaker 7>a global basis. You know, even when times are tough,

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<v Speaker 7>people still like to get away. I still like to

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<v Speaker 7>take vacations.

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<v Speaker 8>You know.

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<v Speaker 7>I think in some ways, Airbnb's recent announcement of their

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<v Speaker 7>Airbnb Rooms offering, it's maybe a little bit of a

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<v Speaker 7>way to kind of get get ahead of that. Airbnb

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<v Speaker 7>Rooms is sort of an example of Airbnb kind of

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<v Speaker 7>disrupting itself a little bit by offering a significantly lower

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<v Speaker 7>priced offerings in single rooms in people's homes or apartments.

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<v Speaker 7>I think they said last night, eighty percent of that

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<v Speaker 7>inventory is less than one hundred dollars per night. So,

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<v Speaker 7>you know, we think overall travel is going to be resilient,

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<v Speaker 7>and we think Airbnb, because of the variety of the

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<v Speaker 7>listings it has, is probably going to be more resilient

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<v Speaker 7>than other online travel assets.

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<v Speaker 4>Interesting, what about the market share that seems to being

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<v Speaker 4>eked out a little bit by booking dot Com, by vlbo,

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<v Speaker 4>by some of the competitors out there, not to mention

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<v Speaker 4>the old hotel industry as well.

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<v Speaker 7>Yeah, look, I think, you know, talking about marketing shares

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<v Speaker 7>right now is a little bit tricky just because of

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<v Speaker 7>the comps, the differences in the comps. Right you know,

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<v Speaker 7>Airbnb is camping you know, over the last few years

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<v Speaker 7>has had explosive growth. Right during the pandemic, they were

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<v Speaker 7>sort of the only game in town. People didn't feel

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<v Speaker 7>comfortable going to big cities or going into hotels where

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<v Speaker 7>they had.

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<v Speaker 9>To you know, mingle with other folks.

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<v Speaker 7>Airbnb's comps are relatively tougher now, whereas the traditional kind

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<v Speaker 7>of OTAs or the hotel industry comps are a little

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<v Speaker 7>bit easier. So just looking at the growth rates kind

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<v Speaker 7>of you know, this quarter, next quarter, I think doesn't

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<v Speaker 7>tell you know, kind of the entire story. You know,

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<v Speaker 7>the bottom line is is a lot of these online

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<v Speaker 7>travel assets all continue to grow, you know, significantly quickly.

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<v Speaker 7>I think, you know, discussions about market share you know,

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<v Speaker 7>need to be looked at in sort of a longer

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<v Speaker 7>term perspective.

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<v Speaker 4>Well said, it's great to have some time Tony, Tom.

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<v Speaker 4>Thank you so much, Tom White of DA Davidson, as

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<v Speaker 4>we say, the biggest drop on records of the Airbnb,

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<v Speaker 4>but still got a seventy to seventy three billion dollar

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<v Speaker 4>market capitalization.

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<v Speaker 5>Let's talk about the.

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<v Speaker 4>Macro environment, which BMB is currently well working within inflation data,

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<v Speaker 4>as we said, without today showing signs of actually a

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<v Speaker 4>bit of a cooling CPI rising just by four point

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<v Speaker 4>nine percent on a year on year basis. But let's

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<v Speaker 4>go into the insight of how you and I are spending.

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<v Speaker 4>Are we looking at luxury? Are we holding back our

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<v Speaker 4>purchases Rackaton President, I'm pleased to say, Kristin gull is

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<v Speaker 4>with us and Rakuton is an online shopping platform partners

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<v Speaker 4>in thousands of stores to provide data, expertise, technology both

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<v Speaker 4>businesses and consumers. And also you give cash back, and

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<v Speaker 4>that's a key draw Kristin. What are you seeing in

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<v Speaker 4>consumers desire to be spending right now, particularly on the

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<v Speaker 4>luxury side of things.

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<v Speaker 3>We were very worried coming into this year that with

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<v Speaker 3>all of the inflation pressure, that consumers were going to

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<v Speaker 3>spend significantly less than they'd spent last year. And actually,

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<v Speaker 3>on the contrary, we've seen a relatively stable spending environment,

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<v Speaker 3>both on the lower end and the world of marketplaces

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<v Speaker 3>and in the world of mid tier department stores. But

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<v Speaker 3>luxury has been booming, and really that luxury thread carried

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<v Speaker 3>throughout the pandemic and has continued into this year in

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<v Speaker 3>a significant strength. And how people are spending despite the

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<v Speaker 3>fact that the economy makes them a little nervous.

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<v Speaker 4>So all day in some ways buying on the luxury

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<v Speaker 4>en because it's deemed an investment in some way if

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<v Speaker 4>I'm thinking of actual, real tangible goods.

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<v Speaker 5>That's exactly what it is.

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<v Speaker 3>We have a lot of data that's telling us that

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<v Speaker 3>people are spending differently now, and there's two ways that

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<v Speaker 3>they're spending differently. Number one, buying less but making it

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<v Speaker 3>count more. Number two dealing with things like sustainability, where

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<v Speaker 3>they want to buy fewer items with less impact on

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<v Speaker 3>the environment. And what that leads to is people investing

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<v Speaker 3>in either resale or luxury, and investing in luxury is

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<v Speaker 3>something that increasingly younger and younger audiences are playing in.

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<v Speaker 3>We are seeing a lot of data that gen Z

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<v Speaker 3>is buying luxury at a significantly earlier age than other generations,

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<v Speaker 3>and I think that really points to people changing the

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<v Speaker 3>way that they spend.

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<v Speaker 4>But also there's different offerings of the way in which

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<v Speaker 4>they spend. How much you seeing a competitive threat from

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<v Speaker 4>well the real reel or eBay or web paces you

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<v Speaker 4>can go and buy, se can hand or pre used

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<v Speaker 4>luxury items as an investment. Where do you see that

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<v Speaker 4>focus from Rackington in the moment.

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<v Speaker 3>I think right now that is a massive area of

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<v Speaker 3>growth in the retail industry is the world of resale,

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<v Speaker 3>and I think for a lot of these younger consumers

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<v Speaker 3>that was what brought them into into the luxury fold

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<v Speaker 3>in the first place. I think the interesting thing is

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<v Speaker 3>now luxury companies are trying to get in on this

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<v Speaker 3>volume and get in on that relationship. So you have

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<v Speaker 3>people like Gucci offering their own resale world on their

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<v Speaker 3>website right now, and basically what it means is that

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<v Speaker 3>they want to own the customer in a way that

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<v Speaker 3>isn't disintermediated by resale sites. So that's something that I

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<v Speaker 3>see as part of a massive growth story in retail

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<v Speaker 3>is resale overall, but not just on resale platforms, but

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<v Speaker 3>by brands.

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<v Speaker 4>How do you keep your market share in this environment

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<v Speaker 4>we're all talking about oltificial intelligence, We're all thinking about

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<v Speaker 4>how we can interact with a consumer more swiftly productively.

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<v Speaker 4>How are you looking at updating recuteon and what your

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<v Speaker 4>offering looks like when we're interfacing the e commerce platform.

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<v Speaker 3>At the end of the day, our job is to

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<v Speaker 3>drive growth for our retail partners, and we're doing that

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<v Speaker 3>in a number of different ways. The first is by

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<v Speaker 3>increasing the number of players on our site that appeal

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<v Speaker 3>to consumers, things like resale, things like more luxury players

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<v Speaker 3>are really really important to us. The second is there's

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<v Speaker 3>a level of personalization that becomes important. We give cash

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<v Speaker 3>back to our consumers for shopping at our retailers. That

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<v Speaker 3>cash back is increasingly personalized to do things like incentivize

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<v Speaker 3>you to try stores that you've never tried before, to

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<v Speaker 3>incentivize you to make a second purchase at a retailer

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<v Speaker 3>that you've experienced before.

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<v Speaker 5>That level of value.

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<v Speaker 3>That we drive, not only is it valuable to our retailers,

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<v Speaker 3>but it's also really valuable to our consumers.

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<v Speaker 4>So when you say at the moment, you keep a

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<v Speaker 4>real loyal customer, in many ways, you say when a

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<v Speaker 4>retailer leaves, quite often the shopper remains on seventy five

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<v Speaker 4>percent of the time. Here, what is your dream new customer?

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<v Speaker 4>From a client perspective, From a retailer perspective, you're just

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<v Speaker 4>talking about Gucci there. Who do you want to lure

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<v Speaker 4>onto the platform that you haven't got yet?

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<v Speaker 3>Yeah, I think increasingly there is a younger consumer that

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<v Speaker 3>we're going after. The sort of younger millennial audience and

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<v Speaker 3>gen Z is really important to us. A lot of

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<v Speaker 3>what we've been doing over the last few years is

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<v Speaker 3>bringing on a lot of direct to consumer brands that

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<v Speaker 3>are more important to that audience and that generation, and

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<v Speaker 3>then to your point, expanding our luxury environment overall on

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<v Speaker 3>the platform. We have played really, really hard in luxury

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<v Speaker 3>department stores for a long time. Individual brands is the

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<v Speaker 3>next thing I'd love to tackle because that does actually

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<v Speaker 3>drive a lot of value for that younger millennial and

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<v Speaker 3>gen Z.

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<v Speaker 4>Consumer or someone who brings a lot of experience to

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<v Speaker 4>the role, having been well with Recuten as a general

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<v Speaker 4>manager since twenty eighteen, plenty of other places before that.

0:11:01.480 --> 0:11:03.600
<v Speaker 4>So Kris Single, we thank you so much for spending

0:11:03.600 --> 0:11:06.280
<v Speaker 4>some time with us with Q ten president there Now

0:11:06.360 --> 0:11:08.920
<v Speaker 4>from luxury spending to what's going on in the world

0:11:09.000 --> 0:11:12.360
<v Speaker 4>of Mountain View, California right now, ed and manner luxury.

0:11:12.480 --> 0:11:15.600
<v Speaker 5>You're covering Google though developers conference all day for us.

0:11:15.679 --> 0:11:16.600
<v Speaker 5>What's the key themes?

0:11:17.040 --> 0:11:20.160
<v Speaker 10>Yeah, Look, artificial intelligence just at the heart of everything here.

0:11:20.280 --> 0:11:23.360
<v Speaker 10>Thousands of people as Shoreline mountain View, two hundred and

0:11:23.400 --> 0:11:27.400
<v Speaker 10>thirty thousand union worldwide. And remember when Google introduced Barred

0:11:27.440 --> 0:11:30.680
<v Speaker 10>in February. It was always billed as a creative companion,

0:11:30.760 --> 0:11:33.680
<v Speaker 10>not a replacement for the core search product. So that's

0:11:33.679 --> 0:11:35.840
<v Speaker 10>the question. What are we going to find out today

0:11:36.160 --> 0:11:40.000
<v Speaker 10>about how you integrate the large Language Model the LM

0:11:40.600 --> 0:11:44.319
<v Speaker 10>into a next generation search engine. What does that functionality

0:11:44.320 --> 0:11:46.839
<v Speaker 10>look like? And what about Google's other software offerings. And

0:11:46.880 --> 0:11:48.200
<v Speaker 10>that's before we even get to hardware.

0:11:48.240 --> 0:11:52.040
<v Speaker 4>Caroline, Yeah, we'll address that a little bit later with you.

0:11:52.360 --> 0:11:53.800
<v Speaker 5>Brilliant to have you on the ground there.

0:11:53.840 --> 0:11:56.160
<v Speaker 4>You're going to be back with us and later in

0:11:56.200 --> 0:11:57.800
<v Speaker 4>the hour, but we're also going to be there throughout

0:11:57.840 --> 0:11:58.160
<v Speaker 4>the day.

0:11:58.240 --> 0:12:08.040
<v Speaker 5>We thank you so much. Let's go back to the earnings.

0:12:08.120 --> 0:12:11.240
<v Speaker 4>Let's look at Acamai Technologies shares actually having their best

0:12:11.320 --> 0:12:14.320
<v Speaker 4>day since twenty twenty after it reported first all results

0:12:14.320 --> 0:12:16.559
<v Speaker 4>that meat expectations. It gave a fullier forecast that was

0:12:16.600 --> 0:12:19.400
<v Speaker 4>ahead of the AMAS consensus. Let's talk about it all

0:12:19.600 --> 0:12:23.040
<v Speaker 4>with the CEO of Acami, Tom Nayton. Doctor Layton, it's

0:12:23.040 --> 0:12:26.160
<v Speaker 4>great to have some time with you. Strong given challenging

0:12:26.160 --> 0:12:29.880
<v Speaker 4>macroheadwinds and the pricing pressure, what do you make of

0:12:29.920 --> 0:12:32.760
<v Speaker 4>the economic environment which you're currently managing to weather better

0:12:32.800 --> 0:12:34.040
<v Speaker 4>than some had anticipated.

0:12:35.240 --> 0:12:38.560
<v Speaker 2>It is a challenging environment. You know, customers are trying

0:12:38.600 --> 0:12:41.360
<v Speaker 2>to cut back on costs. There are a couple of

0:12:41.400 --> 0:12:43.880
<v Speaker 2>ways that help us mitigate that though.

0:12:44.559 --> 0:12:44.760
<v Speaker 7>You know.

0:12:44.800 --> 0:12:46.679
<v Speaker 9>The first is folks are really.

0:12:46.440 --> 0:12:51.640
<v Speaker 2>Concerned about security and reliability, especially in the financial sector. Now,

0:12:51.679 --> 0:12:54.520
<v Speaker 2>the last thing a major bank wants is to have

0:12:54.559 --> 0:12:57.839
<v Speaker 2>an outage with the concern that people will think something's wrong,

0:12:57.880 --> 0:13:01.080
<v Speaker 2>you get a run and that's a big challenge and

0:13:01.160 --> 0:13:03.199
<v Speaker 2>we're the you know, the best provider when it comes

0:13:03.240 --> 0:13:04.640
<v Speaker 2>to reliability and security.

0:13:04.720 --> 0:13:07.120
<v Speaker 9>So that's been you know, helpful for us.

0:13:07.480 --> 0:13:12.720
<v Speaker 2>Also, as companies need to cut cost we can help them.

0:13:12.720 --> 0:13:14.240
<v Speaker 9>With our compute solution.

0:13:15.080 --> 0:13:19.120
<v Speaker 2>You know that's now integrated into our delivery platform. And

0:13:19.559 --> 0:13:21.480
<v Speaker 2>you know we are the biggest when it comes to

0:13:21.800 --> 0:13:25.920
<v Speaker 2>delivery and have a very economical platform for doing that,

0:13:26.040 --> 0:13:29.720
<v Speaker 2>and so we can help customers reduce their costs access

0:13:29.760 --> 0:13:32.320
<v Speaker 2>to cloud computing and delivery.

0:13:32.640 --> 0:13:35.640
<v Speaker 4>What about your buildout though, Tdcowen saying that they are

0:13:35.880 --> 0:13:38.000
<v Speaker 4>longer term a bit more cautious on your stock given

0:13:38.040 --> 0:13:41.600
<v Speaker 4>the capital expenditure intensity that's needed to build out the

0:13:41.679 --> 0:13:42.400
<v Speaker 4>compute part.

0:13:42.640 --> 0:13:44.199
<v Speaker 5>How are you managing those as a costs?

0:13:45.240 --> 0:13:48.560
<v Speaker 2>Yeah, so We are investing this year to you know,

0:13:48.679 --> 0:13:52.319
<v Speaker 2>jumpstart the base platform, and that will largely be done

0:13:52.360 --> 0:13:55.120
<v Speaker 2>by the end of Q three, and then going forward

0:13:55.120 --> 0:13:59.920
<v Speaker 2>from there, the buildout expense is proportional to the revenue.

0:14:00.240 --> 0:14:02.199
<v Speaker 2>So if we get a lot of revenue growth, which

0:14:02.280 --> 0:14:04.160
<v Speaker 2>is what we're hoping and is a good news story,

0:14:04.200 --> 0:14:07.000
<v Speaker 2>then there'll be more capital expense. And you know, if

0:14:07.000 --> 0:14:09.280
<v Speaker 2>it's a more modest growth on revenue, then you know,

0:14:09.320 --> 0:14:11.840
<v Speaker 2>there won't be all that much capex to worry about,

0:14:11.920 --> 0:14:14.640
<v Speaker 2>so that'll be pretty much, you know, done with by

0:14:14.640 --> 0:14:16.840
<v Speaker 2>the end of Q three. We just turned on our

0:14:16.840 --> 0:14:19.280
<v Speaker 2>first new data center and we have fourteen more planned

0:14:19.280 --> 0:14:20.440
<v Speaker 2>over the next couple of quarters.

0:14:20.560 --> 0:14:21.040
<v Speaker 5>You really do.

0:14:21.080 --> 0:14:25.480
<v Speaker 4>Sound optimistic about the client still spending in this economic environment,

0:14:25.480 --> 0:14:28.960
<v Speaker 4>particularly on security. Just push back therefore on analysts over

0:14:28.960 --> 0:14:32.720
<v Speaker 4>at Guggenheim who are saying your low double digit guidance

0:14:32.920 --> 0:14:35.600
<v Speaker 4>in terms of security growth, they actually say it's somewhat

0:14:35.600 --> 0:14:39.720
<v Speaker 4>implausible because of this macro environment and the sharp acceleration

0:14:39.760 --> 0:14:42.320
<v Speaker 4>that's needed a new business. Why do you think that

0:14:42.400 --> 0:14:46.040
<v Speaker 4>this is plausible even though you've got some worrying about it.

0:14:46.920 --> 0:14:50.080
<v Speaker 2>Well, we have the market leading solutions for web at firewall,

0:14:50.160 --> 0:14:53.960
<v Speaker 2>you've got to have that market leading solution for bot management,

0:14:54.480 --> 0:14:59.560
<v Speaker 2>market leading solution for ransomware and defending against that, you know,

0:14:59.600 --> 0:15:02.520
<v Speaker 2>And and think about some of the older attacks that

0:15:02.560 --> 0:15:04.760
<v Speaker 2>are maybe you think of them as old news, like

0:15:04.840 --> 0:15:07.080
<v Speaker 2>denial of service. You know, we just in the last

0:15:07.120 --> 0:15:10.720
<v Speaker 2>few months you have the killnet coordinated d DOS attacks

0:15:10.760 --> 0:15:14.000
<v Speaker 2>against you know, the nation's leading medical centers for goodness sake,

0:15:14.880 --> 0:15:18.960
<v Speaker 2>and so security is still very much needed, and you know,

0:15:19.000 --> 0:15:21.800
<v Speaker 2>when you're the market leader in these solutions like akamie is,

0:15:22.120 --> 0:15:25.920
<v Speaker 2>I'm very optimistic about low double digit growth this year

0:15:25.920 --> 0:15:28.400
<v Speaker 2>for our security business. And of course now we're adding

0:15:28.760 --> 0:15:31.440
<v Speaker 2>API security, and as you know, that's very much in

0:15:31.480 --> 0:15:33.720
<v Speaker 2>the news with all the API attacks that have taken

0:15:33.760 --> 0:15:34.520
<v Speaker 2>place recently.

0:15:34.800 --> 0:15:39.280
<v Speaker 4>Yes, exactly, let's talk from API to AI as well

0:15:39.440 --> 0:15:42.080
<v Speaker 4>more broadly, doctor Layton, because I mean, you're a man

0:15:42.120 --> 0:15:44.080
<v Speaker 4>of fifty patents to your name in terms of content

0:15:44.080 --> 0:15:46.520
<v Speaker 4>delivery and Internet protocols. But I'm pretty sure you're thinking

0:15:46.560 --> 0:15:49.600
<v Speaker 4>the way in which artificial intelligence is increasing some of

0:15:49.640 --> 0:15:52.960
<v Speaker 4>those security attacks as we mentioned, but ultimately upending many

0:15:52.960 --> 0:15:54.840
<v Speaker 4>a business model. Right now, Is there anyway in which

0:15:54.880 --> 0:15:56.960
<v Speaker 4>you're thinking that you can harness that or that you're

0:15:57.000 --> 0:15:57.800
<v Speaker 4>worrying about it.

0:15:59.160 --> 0:16:02.120
<v Speaker 2>You know, we use a and a lot of our products,

0:16:02.160 --> 0:16:07.760
<v Speaker 2>particularly in security for anomaly detection, detecting attackers really you know,

0:16:07.920 --> 0:16:08.640
<v Speaker 2>very important.

0:16:08.880 --> 0:16:11.440
<v Speaker 9>We don't sell AI products per se.

0:16:12.280 --> 0:16:16.320
<v Speaker 2>Now, I think there's been some very interesting advances recently

0:16:16.320 --> 0:16:19.880
<v Speaker 2>an AI generative AI, and you know, one thing about

0:16:19.880 --> 0:16:22.760
<v Speaker 2>that is it's compute intensive, and so there is the

0:16:22.840 --> 0:16:26.760
<v Speaker 2>prospect of a lot more need for compute cycles and

0:16:26.800 --> 0:16:30.280
<v Speaker 2>that's something that you know, we could ultimately benefit us

0:16:30.680 --> 0:16:33.800
<v Speaker 2>with our compute platform. In fact, you know, there's early

0:16:33.840 --> 0:16:37.600
<v Speaker 2>work going on now that would you know, using algorithms

0:16:37.600 --> 0:16:42.160
<v Speaker 2>in scientific methods, uh, make it more affordable so that

0:16:42.200 --> 0:16:44.080
<v Speaker 2>you could do a lot of the work on inference

0:16:44.160 --> 0:16:47.600
<v Speaker 2>engines using CPUs instead of GPUs, which.

0:16:47.440 --> 0:16:48.440
<v Speaker 9>Is a lot more efficient.

0:16:49.040 --> 0:16:51.320
<v Speaker 2>So I think there's a lot of exciting results to

0:16:51.400 --> 0:16:53.880
<v Speaker 2>come there and ultimately, you know, good for business.

0:16:54.960 --> 0:16:57.240
<v Speaker 4>And it really is interesting that we've had from other

0:16:57.280 --> 0:17:00.680
<v Speaker 4>security software companies out there, thinking at ten with a

0:17:00.680 --> 0:17:03.520
<v Speaker 4>revenue forecast that was a bit lackluster cloud flair, we

0:17:04.000 --> 0:17:06.679
<v Speaker 4>have had this worry that people aren't going to invest

0:17:06.680 --> 0:17:10.160
<v Speaker 4>in much as much in securing themselves in this environment.

0:17:10.640 --> 0:17:14.120
<v Speaker 4>So is there any sign from any of your clients

0:17:14.480 --> 0:17:16.080
<v Speaker 4>that they're just going to have to pull back in

0:17:16.080 --> 0:17:17.639
<v Speaker 4>that area or none at all from you.

0:17:18.560 --> 0:17:21.760
<v Speaker 2>It does slow down sales cycle some you know, in

0:17:21.840 --> 0:17:24.639
<v Speaker 2>our growth rate, even in the low double digits, is

0:17:24.720 --> 0:17:27.000
<v Speaker 2>less than it was last year. That said, we had

0:17:27.000 --> 0:17:29.800
<v Speaker 2>a strong bookings quarter in security, and in fact, you know,

0:17:29.880 --> 0:17:32.600
<v Speaker 2>we ended up you know, taking business away from you know,

0:17:32.640 --> 0:17:35.359
<v Speaker 2>some of the companies that you mentioned, particularly in the

0:17:35.400 --> 0:17:39.800
<v Speaker 2>financial sector where you know, the leading financial institutions just

0:17:39.960 --> 0:17:43.280
<v Speaker 2>can't have an outage or an incident or have an

0:17:43.280 --> 0:17:46.800
<v Speaker 2>attack be successful in this environment. And so there's a

0:17:47.000 --> 0:17:49.640
<v Speaker 2>I think they turned to Akami more now so where

0:17:49.680 --> 0:17:53.080
<v Speaker 2>you might see some company struggling a bit, it's on

0:17:53.240 --> 0:17:55.040
<v Speaker 2>balance within this environment.

0:17:55.200 --> 0:17:58.840
<v Speaker 4>Good for Akami, doctor Ayton, Tom Layton, Akam, I see

0:17:58.920 --> 0:18:01.120
<v Speaker 4>and we thank you for your winning us. We need

0:18:01.200 --> 0:18:04.840
<v Speaker 4>spelling out the environment in which we currently find ourselves. Meanwhile,

0:18:04.840 --> 0:18:08.000
<v Speaker 4>we're also watching other companies that actually are not performing

0:18:08.040 --> 0:18:09.960
<v Speaker 4>as well on the day as Zachameayas. Just check out

0:18:09.960 --> 0:18:14.760
<v Speaker 4>on internet infrastructure company Twilio falling in terms of sixteen percent.

0:18:14.440 --> 0:18:14.920
<v Speaker 5>On the day.

0:18:14.960 --> 0:18:17.480
<v Speaker 4>This is really is struggling to find its growth right now,

0:18:17.640 --> 0:18:21.240
<v Speaker 4>we overall see the company posting numbers that did show

0:18:21.960 --> 0:18:24.840
<v Speaker 4>a growth slowdown overall, and this is a business that's

0:18:25.000 --> 0:18:28.280
<v Speaker 4>trying to find it's footing amid the macro weak macro

0:18:28.400 --> 0:18:31.840
<v Speaker 4>that Jefferies are saying a small beat overall in this quarter,

0:18:31.920 --> 0:18:35.680
<v Speaker 4>but it really is the margin turnaround, and this particular

0:18:35.680 --> 0:18:38.800
<v Speaker 4>company is being overshadowed by a weak macro picture going forward.

0:18:38.840 --> 0:18:42.480
<v Speaker 4>So deterioration its net revenue retention rate in the outlook

0:18:42.520 --> 0:18:45.399
<v Speaker 4>for the second quarter points to more difficult days ahead

0:18:45.960 --> 0:18:48.080
<v Speaker 4>coming up. Look, let's talk about days ahead in the

0:18:48.160 --> 0:18:50.679
<v Speaker 4>race to compete with the likes of Chatchepete. More on

0:18:50.720 --> 0:18:53.320
<v Speaker 4>how Softbag s getting in on the action US next

0:18:53.400 --> 0:19:11.080
<v Speaker 4>as a bloomberg time now for Talking Tech and first

0:19:11.119 --> 0:19:14.520
<v Speaker 4>up monthly sales and Taiwan inconduct of Manufacturing TSMC fell

0:19:14.720 --> 0:19:17.600
<v Speaker 4>for a second month as his consumer demand for electronics

0:19:17.720 --> 0:19:19.040
<v Speaker 4>just slows sales.

0:19:18.680 --> 0:19:19.720
<v Speaker 5>And made to order chips.

0:19:19.880 --> 0:19:22.439
<v Speaker 4>They're down fourteen percent from a year earlier, signaling that

0:19:22.440 --> 0:19:26.240
<v Speaker 4>the chip sectors slump skeet to bottom. Meanwhile, also over

0:19:26.280 --> 0:19:28.960
<v Speaker 4>in Asia, soft Banks Mobile Unit is building a Japanese

0:19:29.080 --> 0:19:32.400
<v Speaker 4>version of You Guessed at Chatchipt, joining the already intense

0:19:32.480 --> 0:19:35.720
<v Speaker 4>race to create the next generation AI. The telecoms company

0:19:35.760 --> 0:19:38.280
<v Speaker 4>is actually setting up a new entity in March to

0:19:38.320 --> 0:19:41.240
<v Speaker 4>develop the technology. The CEO didn't elaborate on the project's

0:19:41.280 --> 0:19:44.800
<v Speaker 4>goals or progress so far. And let's look at content

0:19:44.880 --> 0:19:48.159
<v Speaker 4>right now, because Tucker Carlson says that he's turning to

0:19:48.240 --> 0:19:51.120
<v Speaker 4>Twitter to launch a new show as after, of course,

0:19:51.119 --> 0:19:53.919
<v Speaker 4>being fired from Fox News last month, Carlson posted a

0:19:54.040 --> 0:19:56.800
<v Speaker 4>three minute video online saying like he would bring a

0:19:56.840 --> 0:20:00.720
<v Speaker 4>new version of his Fox News program, although says.

0:20:00.520 --> 0:20:02.320
<v Speaker 5>He hasn't signed any sort of deal.

0:20:02.800 --> 0:20:05.919
<v Speaker 4>But let's dig into this with plans not send and Stone,

0:20:06.320 --> 0:20:08.720
<v Speaker 4>what would a program actually look like on a platform

0:20:08.760 --> 0:20:11.520
<v Speaker 4>like Twitter? And one of the concerns around content moderation,

0:20:11.680 --> 0:20:12.720
<v Speaker 4>Felix Jillett is with us.

0:20:12.840 --> 0:20:15.679
<v Speaker 5>Is flomby News interesting.

0:20:15.760 --> 0:20:18.879
<v Speaker 4>That many would say he left Fox or was pushed

0:20:18.880 --> 0:20:21.840
<v Speaker 4>out a Fox his advertisers were uncomfortable, So what makes

0:20:22.560 --> 0:20:24.879
<v Speaker 4>how does is it subscription based this time around?

0:20:25.160 --> 0:20:27.840
<v Speaker 11>It's kind of hard to say, because, yeah, advertisers were

0:20:27.920 --> 0:20:30.520
<v Speaker 11>uncomfortable with Tucker Carlson the show on Fox. They've been

0:20:30.640 --> 0:20:34.159
<v Speaker 11>uncomfortable with Elon Musk's version of Twitter. So do you

0:20:34.200 --> 0:20:36.440
<v Speaker 11>take two negatives, does it make a positive. It's hard

0:20:36.440 --> 0:20:39.880
<v Speaker 11>to imagine that happening. You know, Elon Musk has been

0:20:39.920 --> 0:20:43.960
<v Speaker 11>trying to get more subscription money for Twitter, getting people

0:20:43.960 --> 0:20:46.600
<v Speaker 11>to sign up for Twitter Blue. That's been a struggle.

0:20:47.000 --> 0:20:51.439
<v Speaker 11>So maybe getting some very die hard Tucker Carlson fans

0:20:51.440 --> 0:20:53.800
<v Speaker 11>to sign up and subscribe to a show.

0:20:54.560 --> 0:20:56.240
<v Speaker 1>It's all a little bit hard to imagine.

0:20:56.280 --> 0:20:58.560
<v Speaker 11>I mean, if you think about like video on Twitter.

0:20:58.840 --> 0:21:00.879
<v Speaker 11>I was thinking about what's the most successful video on

0:21:00.920 --> 0:21:03.080
<v Speaker 11>Twitter over the years, I would have to say it's Vine,

0:21:03.359 --> 0:21:06.440
<v Speaker 11>which was six second loops of comedians and people talking.

0:21:06.760 --> 0:21:09.000
<v Speaker 11>And you're going to take an hour long show and

0:21:09.040 --> 0:21:11.320
<v Speaker 11>somehow put it on this platform that has no real

0:21:11.440 --> 0:21:12.639
<v Speaker 11>history of TV shows.

0:21:13.760 --> 0:21:15.280
<v Speaker 5>This show used to stream on Twitter.

0:21:15.320 --> 0:21:20.359
<v Speaker 4>But there is an interesting viewpoint overall about just the

0:21:20.359 --> 0:21:23.280
<v Speaker 4>way in which we consume as well. I mean, how

0:21:23.359 --> 0:21:25.920
<v Speaker 4>much is there a vindication that people will want three

0:21:26.000 --> 0:21:30.000
<v Speaker 4>minute long pieces of information indeed shows anywhere you go,

0:21:30.040 --> 0:21:33.160
<v Speaker 4>Because is there anything that resembles another social media network

0:21:33.160 --> 0:21:36.480
<v Speaker 4>that's done content delivery, done shows like this in a

0:21:36.520 --> 0:21:37.240
<v Speaker 4>decent manner.

0:21:37.480 --> 0:21:41.679
<v Speaker 11>I mean, you know, Snapchat, YouTube, Facebook, like, people have

0:21:41.800 --> 0:21:44.720
<v Speaker 11>experimented with different links and different kinds of shows, political

0:21:44.800 --> 0:21:49.439
<v Speaker 11>shows on social media platforms. Yeah, and you know, Tucker,

0:21:49.680 --> 0:21:52.520
<v Speaker 11>he has these home studios that he built during the pandemic.

0:21:53.240 --> 0:21:58.160
<v Speaker 11>He's got a very robust and loyal audience. So you know,

0:21:58.840 --> 0:22:01.080
<v Speaker 11>how is that going to be monitored. It's hard to imagine,

0:22:01.080 --> 0:22:03.159
<v Speaker 11>but it does give him a voice in the platform

0:22:03.480 --> 0:22:07.000
<v Speaker 11>to keep himself relevant during the political campaign that's coming up,

0:22:07.200 --> 0:22:09.439
<v Speaker 11>as opposed to just being on the sidelines until he

0:22:09.480 --> 0:22:12.840
<v Speaker 11>finds a new cable network that would take.

0:22:12.760 --> 0:22:15.440
<v Speaker 4>Him rumble shares. On that note, we're on the down

0:22:15.520 --> 0:22:18.080
<v Speaker 4>side after the news. Felix Jenette always great to get

0:22:18.119 --> 0:22:27.520
<v Speaker 4>his take on all these things. We thank him. Welcome

0:22:27.520 --> 0:22:29.840
<v Speaker 4>back to BlueBag Technology. I'm Caroline Hide in New York.

0:22:29.880 --> 0:22:31.399
<v Speaker 4>Let's have a quick check on your markets because we've

0:22:31.400 --> 0:22:34.040
<v Speaker 4>actually seen a reprieve in tech stocks again on the

0:22:34.080 --> 0:22:36.959
<v Speaker 4>back of inflation data that shows maybe this pricing pressure

0:22:37.040 --> 0:22:39.800
<v Speaker 4>is cooling. Of course, interest rates sensitive tech stocks do well,

0:22:39.800 --> 0:22:41.439
<v Speaker 4>and then as like one hundred more than seven ten

0:22:41.680 --> 0:22:44.800
<v Speaker 4>percent as inflation comes in sub five percent year on year,

0:22:44.840 --> 0:22:46.920
<v Speaker 4>we're looking at ten year yield getting a bid. That's

0:22:47.000 --> 0:22:49.320
<v Speaker 4>as we maybe anticipate the Fed will maybe be able

0:22:49.359 --> 0:22:51.880
<v Speaker 4>to take that pause in its hiking cycle. We're down

0:22:51.920 --> 0:22:55.400
<v Speaker 4>seven basis points. Bitcoin does higher as the dollar goes lower.

0:22:55.400 --> 0:22:56.480
<v Speaker 4>We're up more than two percent.

0:22:56.680 --> 0:22:57.119
<v Speaker 5>Flick it on.

0:22:57.200 --> 0:22:59.000
<v Speaker 4>Let's go into some of the individual names, though, because

0:22:59.040 --> 0:23:01.640
<v Speaker 4>we've had mixtra amount of earning still to be digesting.

0:23:01.640 --> 0:23:03.720
<v Speaker 4>A firm on the higher side up more than four percent,

0:23:03.960 --> 0:23:06.600
<v Speaker 4>even there was some caution after the numbers dropped about

0:23:06.880 --> 0:23:10.520
<v Speaker 4>overall by now pay later the overall headwinds in this

0:23:10.600 --> 0:23:14.320
<v Speaker 4>macro environment of consumer but many an analyst thinking that

0:23:14.359 --> 0:23:16.040
<v Speaker 4>this is a stock that can weather.

0:23:15.920 --> 0:23:17.959
<v Speaker 5>Can perform at the moment. So we're up more than

0:23:17.960 --> 0:23:18.439
<v Speaker 5>four percent.

0:23:18.520 --> 0:23:21.080
<v Speaker 4>Data Dog, it's a local company, New York based up

0:23:21.160 --> 0:23:24.359
<v Speaker 4>six percent. Guess what's gone. An integration with open ai

0:23:24.480 --> 0:23:25.920
<v Speaker 4>and people like it, the fact that it's gonna be

0:23:26.000 --> 0:23:28.639
<v Speaker 4>checking in on how companies interact with chatchibt and like

0:23:28.680 --> 0:23:31.760
<v Speaker 4>product products. So Data Dog on the upside. Airbnb very

0:23:31.800 --> 0:23:34.119
<v Speaker 4>much on the downside, having its worse fall as a

0:23:34.119 --> 0:23:36.920
<v Speaker 4>publicly traded company after its forward looking guidance was a

0:23:36.960 --> 0:23:39.800
<v Speaker 4>little bit weak. Let's talk about other earnings, because there

0:23:39.800 --> 0:23:42.040
<v Speaker 4>are more they can fast in the EV space. In particular,

0:23:42.119 --> 0:23:45.000
<v Speaker 4>Blink Charging just reported revenue for the first quarter nook.

0:23:45.040 --> 0:23:47.439
<v Speaker 4>It missed some analystsessiments out there, but it's still more

0:23:47.440 --> 0:23:51.040
<v Speaker 4>than doubling revenues. The ev Charging Stations Company is really

0:23:51.040 --> 0:23:54.600
<v Speaker 4>continuing to transition to an in house manufacturing model. Gross

0:23:54.640 --> 0:23:57.320
<v Speaker 4>margin profile is expected to improve throughout twenty twenty three

0:23:57.359 --> 0:23:59.560
<v Speaker 4>and the next year. Let's talk about it all with

0:23:59.600 --> 0:24:02.280
<v Speaker 4>the relative we knew recently appointed CEO, Brendan Jones.

0:24:02.320 --> 0:24:03.880
<v Speaker 5>Of course you were other business.

0:24:03.560 --> 0:24:06.600
<v Speaker 4>Already and now taking the CEO mantel Brendan and just

0:24:06.640 --> 0:24:10.080
<v Speaker 4>talk to us about the revenue drivers here. Who is

0:24:10.119 --> 0:24:12.680
<v Speaker 4>wanting to get their hands on these charging stations across

0:24:12.680 --> 0:24:13.479
<v Speaker 4>the United States?

0:24:13.960 --> 0:24:16.640
<v Speaker 6>Absolutely so, this space is on fire.

0:24:17.359 --> 0:24:20.600
<v Speaker 8>As more and more states start to adopt provisions that

0:24:20.760 --> 0:24:24.000
<v Speaker 8>say that internal combustion engines can no longer be sold

0:24:24.000 --> 0:24:28.040
<v Speaker 8>past twenty thirty five, we're seeing an increasing emphasis on

0:24:28.280 --> 0:24:29.920
<v Speaker 8>charging and who's.

0:24:29.640 --> 0:24:30.359
<v Speaker 6>Asking for it.

0:24:30.440 --> 0:24:34.640
<v Speaker 8>You've got everything from municipalities to private ownerships, to big

0:24:34.680 --> 0:24:38.639
<v Speaker 8>real estate groups, to state parks that want to have

0:24:38.760 --> 0:24:42.280
<v Speaker 8>charging for new sport utility vehicles that are EVY, and.

0:24:42.200 --> 0:24:45.080
<v Speaker 6>Of course the federal government. We're very proud to have

0:24:45.160 --> 0:24:45.560
<v Speaker 6>been one.

0:24:45.640 --> 0:24:49.240
<v Speaker 8>The United States Post Office Service put out a bid

0:24:49.320 --> 0:24:53.879
<v Speaker 8>for four thousand for forty five thousand chargers. We won

0:24:54.000 --> 0:24:56.520
<v Speaker 8>part of that deal and we've already began to install

0:24:56.600 --> 0:25:00.399
<v Speaker 8>those chargers with USPS. So the goal right now is

0:25:00.440 --> 0:25:03.200
<v Speaker 8>to make sure that we can get as many chargers

0:25:03.240 --> 0:25:07.440
<v Speaker 8>out there to service the ED buying public and blink

0:25:07.520 --> 0:25:07.920
<v Speaker 8>right now.

0:25:07.960 --> 0:25:09.560
<v Speaker 6>As you saw, we're on digit.

0:25:09.440 --> 0:25:12.560
<v Speaker 8>Double digit growth between last year and this year, and

0:25:12.600 --> 0:25:15.879
<v Speaker 8>we see that trend continuing for the foreseeable future.

0:25:16.440 --> 0:25:19.240
<v Speaker 4>How does the US stack up versus Europe, Asia, Latin America.

0:25:19.320 --> 0:25:21.240
<v Speaker 4>I know these are all markets that you're analyzing and

0:25:21.640 --> 0:25:23.440
<v Speaker 4>in yes.

0:25:23.400 --> 0:25:25.640
<v Speaker 8>So what you see in Europe is a little bit

0:25:25.920 --> 0:25:29.040
<v Speaker 8>progression of the model. So they're much further ahead on

0:25:29.119 --> 0:25:32.679
<v Speaker 8>both the car sales and the penetration of chargers in

0:25:32.720 --> 0:25:36.560
<v Speaker 8>the public space. So US is following right behind that.

0:25:36.960 --> 0:25:39.280
<v Speaker 8>So while there a little ahead, we see ourselves as

0:25:39.359 --> 0:25:39.960
<v Speaker 8>catching up.

0:25:40.400 --> 0:25:40.640
<v Speaker 6>Now.

0:25:40.680 --> 0:25:44.399
<v Speaker 8>A lot in Europe is policy driven to mandate charging

0:25:44.440 --> 0:25:47.480
<v Speaker 8>and mandate the purchase of electric vehicles. We have some

0:25:47.640 --> 0:25:50.600
<v Speaker 8>policy initiatives that make it easy to adopt, and then

0:25:50.600 --> 0:25:52.920
<v Speaker 8>we have the federal funding for the Nevy program, the

0:25:52.960 --> 0:25:57.160
<v Speaker 8>two billion dollars from the Biden administration to accelerate infrastructure.

0:25:57.560 --> 0:25:59.719
<v Speaker 6>So the US is more show US. But I'll tell

0:25:59.760 --> 0:26:03.480
<v Speaker 6>you the autoims they are bringing out the cars today.

0:26:03.680 --> 0:26:09.280
<v Speaker 8>You have some of the most versatile, sexiest high speed

0:26:09.359 --> 0:26:10.840
<v Speaker 8>cars on the market.

0:26:10.520 --> 0:26:11.480
<v Speaker 6>That all drives.

0:26:11.640 --> 0:26:12.200
<v Speaker 5>What do you happen?

0:26:12.400 --> 0:26:16.320
<v Speaker 8>So I transitioned just recently out of Audietron, which is

0:26:16.320 --> 0:26:19.840
<v Speaker 8>a beautiful car, you know, full ev all the way,

0:26:19.880 --> 0:26:23.160
<v Speaker 8>but all everything you expected in a luxury car. Now

0:26:23.240 --> 0:26:25.680
<v Speaker 8>I'm looking at a couple of different models, some domestic

0:26:26.640 --> 0:26:29.560
<v Speaker 8>and some meat overseas as well.

0:26:30.400 --> 0:26:34.080
<v Speaker 6>So my goal in life was always on a Mustang.

0:26:34.320 --> 0:26:36.479
<v Speaker 8>So I'm not hitting that it might be a monkey,

0:26:36.920 --> 0:26:38.520
<v Speaker 8>but I'm definitely leading that direction.

0:26:39.440 --> 0:26:43.240
<v Speaker 4>What about the inside focus on where you're buying? But

0:26:43.320 --> 0:26:45.720
<v Speaker 4>what about the innovation that blinks doing at the moment

0:26:45.760 --> 0:26:46.080
<v Speaker 4>as well?

0:26:46.119 --> 0:26:47.840
<v Speaker 5>Because yes, it would.

0:26:47.640 --> 0:26:49.359
<v Speaker 4>Be lovely, of course to have the infrastructure there that

0:26:49.359 --> 0:26:51.560
<v Speaker 4>we can all pull up and be able to speedily

0:26:51.960 --> 0:26:53.960
<v Speaker 4>charge our cars, But what about if you're on the move,

0:26:54.000 --> 0:26:56.520
<v Speaker 4>what about if you've been breaking down you're having I mean,

0:26:56.560 --> 0:26:58.320
<v Speaker 4>I know you had a whole host of different kind

0:26:58.320 --> 0:27:00.680
<v Speaker 4>of options on array at CS this one.

0:27:01.080 --> 0:27:03.919
<v Speaker 8>Yeah, and absolutely what we want to do is service

0:27:03.960 --> 0:27:07.520
<v Speaker 8>the pallethor of charging needs for the public. And that

0:27:07.560 --> 0:27:09.920
<v Speaker 8>means you've got to have fast chargers on the highway

0:27:10.119 --> 0:27:12.800
<v Speaker 8>that can fuel a vehicle in under thirty minutes or

0:27:12.840 --> 0:27:15.600
<v Speaker 8>in some cases under fifteen depending on the speed of

0:27:15.640 --> 0:27:16.160
<v Speaker 8>the battery.

0:27:16.720 --> 0:27:18.800
<v Speaker 6>Then you also have to havet home based charging.

0:27:18.840 --> 0:27:21.360
<v Speaker 8>When we look at McKinsey data, it tells us that

0:27:21.480 --> 0:27:23.880
<v Speaker 8>ninety percent of the charging that's going to take place

0:27:23.920 --> 0:27:27.320
<v Speaker 8>globally is what we call level two charging, and then

0:27:27.320 --> 0:27:29.600
<v Speaker 8>the other ten percent is going to be DC fast charging,

0:27:29.760 --> 0:27:32.960
<v Speaker 8>which is the faster must have charging. But also, as

0:27:33.000 --> 0:27:35.000
<v Speaker 8>you point it out, there's this need for what we

0:27:35.080 --> 0:27:38.920
<v Speaker 8>call a rescue charger. So if you run out of charge,

0:27:38.960 --> 0:27:41.280
<v Speaker 8>just like you run out of gas, we also have

0:27:41.359 --> 0:27:43.520
<v Speaker 8>products to satisfy that market, so.

0:27:43.440 --> 0:27:45.400
<v Speaker 6>We can charge you up on the go and get

0:27:45.440 --> 0:27:47.800
<v Speaker 6>you back to a charger as soon as possible.

0:27:47.920 --> 0:27:51.240
<v Speaker 8>So our job is to cover the home, to cover

0:27:51.280 --> 0:27:54.040
<v Speaker 8>the public, to cover the municipalities, and to cover the

0:27:54.119 --> 0:27:57.119
<v Speaker 8>highway with charging and make sure we have options and

0:27:57.200 --> 0:28:01.400
<v Speaker 8>innovative products to serve the general the general needs out there.

0:28:01.440 --> 0:28:04.359
<v Speaker 4>Are you growing that and innovating organically or I know

0:28:04.480 --> 0:28:06.639
<v Speaker 4>that you make quite a lot of acquisitions as well.

0:28:06.760 --> 0:28:08.119
<v Speaker 4>Do you want to do bolt on us to be

0:28:08.119 --> 0:28:09.679
<v Speaker 4>able to add that sort of level of offering.

0:28:10.359 --> 0:28:14.600
<v Speaker 8>Yeah, So we continue to be an inquisitive company. So

0:28:14.680 --> 0:28:18.560
<v Speaker 8>where acquisitions make sense, we will pursue them. We just

0:28:18.600 --> 0:28:25.400
<v Speaker 8>acquired a car sharing company called Envoy, who basically has

0:28:25.480 --> 0:28:28.400
<v Speaker 8>people engage with them on a car by car basis.

0:28:28.640 --> 0:28:30.520
<v Speaker 8>They get it, they're all evs, They get it for

0:28:30.560 --> 0:28:32.400
<v Speaker 8>a day, for an hour, etc.

0:28:32.840 --> 0:28:35.720
<v Speaker 6>They charge on our charging stations, and then we have.

0:28:35.680 --> 0:28:39.520
<v Speaker 8>Blue La, which is our mobility program in Los Angeles,

0:28:39.520 --> 0:28:42.760
<v Speaker 8>and under Blue La, we have two hundred stations that

0:28:42.800 --> 0:28:44.880
<v Speaker 8>have two to three cars on them and the general

0:28:44.920 --> 0:28:47.840
<v Speaker 8>public comes in there, takes a car for a day,

0:28:48.240 --> 0:28:50.400
<v Speaker 8>gets a chance to be in an EV and they

0:28:50.440 --> 0:28:54.360
<v Speaker 8>serve both the general public and the underserved communities simultaneously.

0:28:54.400 --> 0:28:56.560
<v Speaker 6>And we do both the cars and the charging.

0:28:57.120 --> 0:29:00.640
<v Speaker 4>Brendan, what's the regulatory environment for you thanking thesels of

0:29:00.640 --> 0:29:02.600
<v Speaker 4>acquisitions at the moment. I know you're not a big

0:29:02.680 --> 0:29:06.360
<v Speaker 4>cat player yet at the moment, but what are the

0:29:06.440 --> 0:29:08.760
<v Speaker 4>concerns about making acquisitions of other companies.

0:29:09.600 --> 0:29:12.000
<v Speaker 8>Well, you have to make sure that these acquisitions, when

0:29:12.000 --> 0:29:12.560
<v Speaker 8>we're looking at.

0:29:12.560 --> 0:29:14.080
<v Speaker 6>Them, you have a high degree of synergies.

0:29:14.480 --> 0:29:17.120
<v Speaker 8>If you don't, it doesn't make sense because the acquisition

0:29:17.240 --> 0:29:20.160
<v Speaker 8>of the in and of itself has to fit into

0:29:20.200 --> 0:29:23.040
<v Speaker 8>our business models. If it doesn't, we're going to pass

0:29:23.360 --> 0:29:26.560
<v Speaker 8>because the synergies of which makes that very valid. And

0:29:26.600 --> 0:29:29.840
<v Speaker 8>when you look at acquisitions in general and you benchmark

0:29:29.960 --> 0:29:32.880
<v Speaker 8>other companies, you see where they failed was they didn't

0:29:32.960 --> 0:29:35.800
<v Speaker 8>get the synergies. So we put a lot of money.

0:29:35.880 --> 0:29:39.640
<v Speaker 8>We work with McKenzie to outline, set a path, and

0:29:39.720 --> 0:29:44.680
<v Speaker 8>set a timeline associated to bid revenue sentergies, g anda sentergies,

0:29:44.840 --> 0:29:46.800
<v Speaker 8>and then product synergies across the board.

0:29:47.040 --> 0:29:50.000
<v Speaker 6>Without that, we're not going to do any acquisitions.

0:29:50.040 --> 0:29:52.400
<v Speaker 8>We need that to be efficient and to really get

0:29:52.400 --> 0:29:53.400
<v Speaker 8>to global scale.

0:29:54.400 --> 0:29:57.400
<v Speaker 4>Well, thank you giving us the global perspective link CEO

0:29:57.520 --> 0:30:00.880
<v Speaker 4>Friend and Jones. And look, let's just focus on M

0:30:00.920 --> 0:30:02.640
<v Speaker 4>and A a little bit more in the world of

0:30:02.680 --> 0:30:06.040
<v Speaker 4>tech because Bloomberg research has found that US government's current

0:30:06.120 --> 0:30:09.240
<v Speaker 4>aggressive stance on anti trust it's actually really chilling merger

0:30:09.280 --> 0:30:12.360
<v Speaker 4>activity among the country's biggest companies for some deals never

0:30:12.400 --> 0:30:14.920
<v Speaker 4>making it past the boardroom. Let's bring in and peace

0:30:14.960 --> 0:30:16.920
<v Speaker 4>to say right here in Neil Leah Nyland, who's over

0:30:16.920 --> 0:30:19.640
<v Speaker 4>from Washington to break it all down, and this story

0:30:19.720 --> 0:30:22.720
<v Speaker 4>really showing just how much of a chilling effect. Just

0:30:22.840 --> 0:30:25.160
<v Speaker 4>can you paint the picture of where we've been and

0:30:25.200 --> 0:30:27.440
<v Speaker 4>where we've come to because of the action of the administration.

0:30:27.760 --> 0:30:31.040
<v Speaker 12>Yeah, so the Biden administration really came in strong on

0:30:31.120 --> 0:30:34.280
<v Speaker 12>anti trust. They really felt that the past administrations were

0:30:34.280 --> 0:30:37.720
<v Speaker 12>a little too easy on mergers and letting big deals

0:30:37.760 --> 0:30:41.440
<v Speaker 12>go through with only settlements or maybe like challenging only

0:30:41.480 --> 0:30:43.760
<v Speaker 12>a couple of the bigger ones. But the Biden administration

0:30:43.840 --> 0:30:46.440
<v Speaker 12>has been really aggressive on this so far. Since the

0:30:46.520 --> 0:30:49.400
<v Speaker 12>anti trust enforcers came in in July of twenty twenty one,

0:30:49.880 --> 0:30:54.640
<v Speaker 12>they have challenged seventeen cases in court, but they've also

0:30:55.400 --> 0:30:58.880
<v Speaker 12>raised anti trust concerns about another twenty six. So those abandoned,

0:30:59.280 --> 0:31:01.800
<v Speaker 12>those deals were abandoned before they even made it to court.

0:31:02.120 --> 0:31:05.560
<v Speaker 12>So they have quite a record of, you know, killing

0:31:05.560 --> 0:31:06.480
<v Speaker 12>off deals so far.

0:31:07.040 --> 0:31:10.600
<v Speaker 5>How much are they ultimately tech savvy.

0:31:10.600 --> 0:31:13.000
<v Speaker 4>We know that the FTC that got a very much

0:31:13.040 --> 0:31:17.240
<v Speaker 4>a leaderly A Khan, who's focused on the world of technology,

0:31:17.280 --> 0:31:19.960
<v Speaker 4>did a lot of work within big tech. But there

0:31:20.000 --> 0:31:22.760
<v Speaker 4>is a talk now about AI being a new area

0:31:22.800 --> 0:31:28.320
<v Speaker 4>in which we get competitive overreach and monopolistic capabilities. How

0:31:28.400 --> 0:31:30.640
<v Speaker 4>much of those of the conversations you're having, is it

0:31:30.720 --> 0:31:32.960
<v Speaker 4>all about big tech and stifling there or just this

0:31:33.360 --> 0:31:34.280
<v Speaker 4>go cross industry.

0:31:34.320 --> 0:31:36.120
<v Speaker 12>It goes across industry, as if you look at a

0:31:36.120 --> 0:31:39.000
<v Speaker 12>lot of the deals that they have blocked, You've seen

0:31:39.040 --> 0:31:41.920
<v Speaker 12>a lot in the healthcare sector, you see some in

0:31:42.240 --> 0:31:46.280
<v Speaker 12>you know, brick and mortar industries like concrete and cement,

0:31:46.720 --> 0:31:48.960
<v Speaker 12>But the big tech ones are definitely ones that are

0:31:49.000 --> 0:31:50.280
<v Speaker 12>they're paying a lot of attention to.

0:31:50.320 --> 0:31:50.760
<v Speaker 5>You know.

0:31:50.840 --> 0:31:54.560
<v Speaker 12>The big case that the FTC challenged last year was

0:31:54.600 --> 0:31:58.880
<v Speaker 12>the one between meta platforms and Within, which was actually

0:31:58.960 --> 0:32:03.480
<v Speaker 12>just a small stirred up focused on virtual reality. One

0:32:03.480 --> 0:32:06.520
<v Speaker 12>of the anecdotes in our story was actually about Google

0:32:06.600 --> 0:32:09.960
<v Speaker 12>abandoning an acquisition because they had some concerns about the

0:32:10.000 --> 0:32:11.640
<v Speaker 12>antitrust problems.

0:32:11.240 --> 0:32:11.960
<v Speaker 5>That it could raise.

0:32:12.560 --> 0:32:15.400
<v Speaker 12>And both of the leaders of the antrus agencies right now,

0:32:15.440 --> 0:32:18.239
<v Speaker 12>that's Lena Khan at the FTC and Jonathan Kanter at

0:32:18.240 --> 0:32:21.200
<v Speaker 12>the Justice Department, have said that they're actually looking really

0:32:21.200 --> 0:32:24.120
<v Speaker 12>closely at AI because they're very concerned that some of

0:32:24.160 --> 0:32:28.320
<v Speaker 12>the biggest companies, the Microsofts, the Googles, the Amazons of

0:32:28.360 --> 0:32:31.880
<v Speaker 12>the world, really have the resources to devote to AI,

0:32:32.160 --> 0:32:34.680
<v Speaker 12>and they're really concerned that they might try, you know,

0:32:34.720 --> 0:32:37.120
<v Speaker 12>buying up a lot of the people who are really

0:32:37.160 --> 0:32:39.760
<v Speaker 12>focused on that and sort of dominating the AI market

0:32:39.800 --> 0:32:41.480
<v Speaker 12>and the way that they have really been able to

0:32:41.480 --> 0:32:42.240
<v Speaker 12>dominate the web.

0:32:42.960 --> 0:32:44.680
<v Speaker 5>What's interesting is some would say.

0:32:45.960 --> 0:32:49.680
<v Speaker 4>FTC Action, for example, hasn't actually been that successful. Yeah,

0:32:49.760 --> 0:32:53.320
<v Speaker 4>does that give companies speaking to a bit more resilience

0:32:53.360 --> 0:32:55.800
<v Speaker 4>and optimism they can get these deals through? Or they

0:32:55.800 --> 0:32:58.400
<v Speaker 4>look more what the UK's up to with Microsoft and

0:32:58.480 --> 0:32:59.200
<v Speaker 4>they think, okay.

0:32:59.040 --> 0:33:02.360
<v Speaker 12>No, it really depends. You know, companies that are more

0:33:02.920 --> 0:33:05.040
<v Speaker 12>risk averse aren't really going to want to put the

0:33:05.120 --> 0:33:07.840
<v Speaker 12>time and the money into this because so the increase

0:33:07.920 --> 0:33:10.520
<v Speaker 12>any trust really is dragging some of these things out.

0:33:11.280 --> 0:33:15.520
<v Speaker 12>But really big deals like Microsoft Activision, they're still going forward,

0:33:15.640 --> 0:33:18.320
<v Speaker 12>even in the face of regulatory scrutiny. So that one

0:33:18.400 --> 0:33:23.160
<v Speaker 12>the UK has blocked the FTC has brought litigation against

0:33:23.160 --> 0:33:25.200
<v Speaker 12>it that's supposed to go to trial later this year.

0:33:25.480 --> 0:33:27.600
<v Speaker 12>We're still waiting on the EU to make a decision.

0:33:27.640 --> 0:33:30.480
<v Speaker 12>It will later this month, but it's unclear if that

0:33:30.520 --> 0:33:33.200
<v Speaker 12>one's going to go through, just because when you get

0:33:33.240 --> 0:33:35.760
<v Speaker 12>that many lawsuits against a deal, it becomes really hard

0:33:35.800 --> 0:33:36.400
<v Speaker 12>to move forward.

0:33:36.960 --> 0:33:38.640
<v Speaker 4>Nana and it's great to have you right here in

0:33:38.720 --> 0:33:41.800
<v Speaker 4>New York. Appreciate it. We thank her for that great story.

0:33:41.840 --> 0:33:44.400
<v Speaker 4>And Ashley, we were just talking about the worries around

0:33:44.640 --> 0:33:47.200
<v Speaker 4>AI dominance. Well, coming up, we've got a great conversation

0:33:47.280 --> 0:33:49.560
<v Speaker 4>to have in the world degenerative AI with a leader.

0:33:49.800 --> 0:33:52.360
<v Speaker 4>Scale AI is deploying new tools to help its clients

0:33:52.400 --> 0:33:55.680
<v Speaker 4>safely and responsibly integrate the technology into their systems. We're

0:33:55.680 --> 0:33:57.480
<v Speaker 4>going to have a conversation with the founder, the CEO,

0:33:57.760 --> 0:33:58.680
<v Speaker 4>Alexandra Wang.

0:33:59.080 --> 0:34:00.240
<v Speaker 5>But let's talk about.

0:34:00.320 --> 0:34:03.520
<v Speaker 4>Potential monopolies building in the space, or want to be monopolies.

0:34:03.560 --> 0:34:07.480
<v Speaker 4>Because panenteer up another day after its earnings came out

0:34:07.480 --> 0:34:10.560
<v Speaker 4>and they talked about the unprecedented demand for its own

0:34:10.680 --> 0:34:14.239
<v Speaker 4>AI offering. The CEO alex cart get this saying that

0:34:14.280 --> 0:34:16.880
<v Speaker 4>they just want to take the whole market.

0:34:17.400 --> 0:34:20.680
<v Speaker 5>That's a strategy for AI apparently from New York. This

0:34:20.840 --> 0:34:21.400
<v Speaker 5>a Bloomberg.

0:34:36.880 --> 0:34:40.320
<v Speaker 4>Scale AI as a leader in creating generative AI systems

0:34:40.360 --> 0:34:43.520
<v Speaker 4>and it's launching two new platforms tell its customers apply

0:34:43.680 --> 0:34:47.800
<v Speaker 4>AI systems within their networks. Joining now is Alexander Wang,

0:34:47.840 --> 0:34:51.719
<v Speaker 4>the founder and CEO of Scale AI, and alex at

0:34:51.760 --> 0:34:54.319
<v Speaker 4>the moment, I'm trying to wade through Panenteer that was

0:34:54.360 --> 0:34:57.319
<v Speaker 4>to take the whole market. We had salesforce on interjecting

0:34:57.480 --> 0:35:01.400
<v Speaker 4>chat GPT within its offerings or Slack, and for Tableau

0:35:01.440 --> 0:35:04.360
<v Speaker 4>we've got IBM with Watson X. What exactly are you

0:35:04.440 --> 0:35:06.720
<v Speaker 4>offering that's kind of different from the others.

0:35:07.239 --> 0:35:10.400
<v Speaker 13>Yeah, So at Scale we've been in the AI industry

0:35:10.480 --> 0:35:13.240
<v Speaker 13>for more than seven years now. We've been quietly powering

0:35:13.360 --> 0:35:16.480
<v Speaker 13>much of the modern revolution in generative AI. And what

0:35:16.480 --> 0:35:19.840
<v Speaker 13>we're seeing today is a lot of AI tourists pretending

0:35:19.840 --> 0:35:21.400
<v Speaker 13>to be AI natives. You know, there's a lot of

0:35:21.440 --> 0:35:24.680
<v Speaker 13>companies who are not selling solutions. They're ultimately just selling

0:35:24.719 --> 0:35:28.319
<v Speaker 13>vaporware and our products, you know, they aren't coming soon.

0:35:28.440 --> 0:35:31.560
<v Speaker 13>They're in the hands of customers today, from the Fortune

0:35:31.600 --> 0:35:33.880
<v Speaker 13>five hundred to the US Department of Defense, and we

0:35:33.920 --> 0:35:36.120
<v Speaker 13>don't see many other platforms that can say that.

0:35:36.560 --> 0:35:38.440
<v Speaker 1>So today we're proud.

0:35:38.239 --> 0:35:41.880
<v Speaker 13>To introduce our two new generative AI platforms, Scale Donovan

0:35:42.080 --> 0:35:45.239
<v Speaker 13>and Scale EGP to unlock the power of AI for

0:35:45.600 --> 0:35:50.520
<v Speaker 13>every industry, from the US government to global enterprise. Our

0:35:50.640 --> 0:35:55.359
<v Speaker 13>Donovan product is our platform, which is the first large

0:35:55.440 --> 0:35:58.640
<v Speaker 13>language model deployed on a classified network for the US

0:35:58.719 --> 0:36:03.440
<v Speaker 13>government and with our war fighters connect in minutes instead

0:36:03.440 --> 0:36:06.560
<v Speaker 13>of weeks. And our customers today include the US Army's

0:36:06.560 --> 0:36:11.120
<v Speaker 13>eighteen Airborne Corps, the DoD's CDAO and the Joint All

0:36:11.120 --> 0:36:13.760
<v Speaker 13>Demand Command and Control Effort in particular, and the Marine

0:36:13.760 --> 0:36:15.719
<v Speaker 13>Corps University School of Advanced Warfighting.

0:36:15.920 --> 0:36:18.440
<v Speaker 4>So just to go back, are you saying that palenteer

0:36:19.239 --> 0:36:24.080
<v Speaker 4>with its machine learning and it's already integration with the

0:36:24.120 --> 0:36:26.760
<v Speaker 4>Defense Partment, for example, that's an AI tourist.

0:36:27.360 --> 0:36:29.319
<v Speaker 13>So, you know, I think the key thing to look

0:36:29.360 --> 0:36:31.960
<v Speaker 13>at with any one of these platforms is whether or

0:36:32.040 --> 0:36:35.360
<v Speaker 13>not they have customers that are live with the technology.

0:36:34.880 --> 0:36:36.640
<v Speaker 1>Today or are using it actively.

0:36:36.920 --> 0:36:39.400
<v Speaker 13>And you know, I think there are plenty of platforms

0:36:39.400 --> 0:36:41.719
<v Speaker 13>that are touting huge announcements but that do not have

0:36:41.760 --> 0:36:45.480
<v Speaker 13>any live customers and any activity today, and they have

0:36:45.719 --> 0:36:51.040
<v Speaker 13>oftentimes coming soon as sort of the headline on their homepages.

0:36:51.239 --> 0:36:52.920
<v Speaker 13>So I think that's one of the key things to

0:36:52.960 --> 0:36:55.040
<v Speaker 13>look at. You know, we at scale we've worked with

0:36:55.120 --> 0:36:57.440
<v Speaker 13>open AI since twenty nineteen, or you have much of

0:36:57.480 --> 0:37:01.120
<v Speaker 13>the technology that's undergirded chat, GPT and other technologies work

0:37:01.160 --> 0:37:03.920
<v Speaker 13>with much of the rest of the ecosystems such as Microsoft,

0:37:04.040 --> 0:37:09.920
<v Speaker 13>meta working folks like Stability, adept, carper cohere, and so

0:37:10.200 --> 0:37:12.880
<v Speaker 13>this is you know, we've been in this industry. We

0:37:12.920 --> 0:37:15.280
<v Speaker 13>have we're one of the companies with the greatest amount

0:37:15.280 --> 0:37:17.480
<v Speaker 13>of experience in generative AI, and we're excited to actually

0:37:17.520 --> 0:37:20.920
<v Speaker 13>bring that expertise to the enterprise, EMPTO government customers.

0:37:20.560 --> 0:37:23.440
<v Speaker 4>And to the White House in terms of evaluating platforms.

0:37:23.520 --> 0:37:24.879
<v Speaker 5>Right, just remind us.

0:37:24.880 --> 0:37:26.839
<v Speaker 4>That is it going to be your platform that they're

0:37:26.880 --> 0:37:29.440
<v Speaker 4>using at Defcon thirty one to be able to basically

0:37:29.560 --> 0:37:33.839
<v Speaker 4>test and understand how hugging Face and topic Google actually work.

0:37:34.320 --> 0:37:35.120
<v Speaker 1>Yeah, exactly.

0:37:35.200 --> 0:37:38.799
<v Speaker 13>So we are Switzerland, we are not behold into any

0:37:38.800 --> 0:37:41.960
<v Speaker 13>one platform, and in fact, we've been quietly partnering with

0:37:42.080 --> 0:37:44.360
<v Speaker 13>most of the AI industry. As a result, we're the

0:37:44.400 --> 0:37:48.000
<v Speaker 13>perfect partner to work with the White House and with

0:37:48.080 --> 0:37:51.400
<v Speaker 13>Defcon in using our platform to actually evaluate all of

0:37:51.400 --> 0:37:53.840
<v Speaker 13>these models that are being built and understand what the

0:37:53.880 --> 0:37:57.040
<v Speaker 13>implications and safety implications of these models are. You know,

0:37:57.160 --> 0:38:00.080
<v Speaker 13>we believe that progress and foundation models needs to have

0:38:00.120 --> 0:38:04.160
<v Speaker 13>been hand in hand and alongside progress and model evaluation

0:38:04.239 --> 0:38:06.600
<v Speaker 13>and safety, and that's really what we've built our platform

0:38:06.640 --> 0:38:09.279
<v Speaker 13>to help enable and why our platform is going to

0:38:09.320 --> 0:38:11.960
<v Speaker 13>be the one that's used again in partnership with White House,

0:38:12.000 --> 0:38:14.960
<v Speaker 13>in partnership with Defcon to help understand these models.

0:38:15.040 --> 0:38:18.359
<v Speaker 4>What do you think you'll find, Alex, Do you think

0:38:18.400 --> 0:38:23.560
<v Speaker 4>you'll find safe and solid space is being crafted for

0:38:24.120 --> 0:38:28.000
<v Speaker 4>new models or you're a little bit more worried, you know.

0:38:27.960 --> 0:38:30.359
<v Speaker 13>I think broadly within the industry. One of the things

0:38:30.360 --> 0:38:32.279
<v Speaker 13>that's happened. One of the things that's happened is these

0:38:32.320 --> 0:38:34.960
<v Speaker 13>models have all been released and have have been released

0:38:35.000 --> 0:38:38.239
<v Speaker 13>down with the world before much of this testing has

0:38:38.239 --> 0:38:40.520
<v Speaker 13>taken place out in the public, and so you know,

0:38:40.600 --> 0:38:43.040
<v Speaker 13>I think invariably we're going to find some things that

0:38:43.080 --> 0:38:44.759
<v Speaker 13>are that are going to be concerning. But I think

0:38:44.800 --> 0:38:47.080
<v Speaker 13>we're also going to find that many of the builders

0:38:47.080 --> 0:38:49.880
<v Speaker 13>of these models have actually put a huge amount of

0:38:49.880 --> 0:38:52.040
<v Speaker 13>thought into the systems that they're developing, and so I

0:38:52.040 --> 0:38:53.560
<v Speaker 13>think we'll see a range. You know, there will be

0:38:53.600 --> 0:38:55.879
<v Speaker 13>some models that are significantly safer than others, and even

0:38:55.920 --> 0:38:57.640
<v Speaker 13>the models that are safe, I think we'll continue to

0:38:57.680 --> 0:38:59.239
<v Speaker 13>find things that you know, we need to work on,

0:38:59.280 --> 0:39:01.560
<v Speaker 13>we need to improve, you know, our goal with this

0:39:02.520 --> 0:39:04.239
<v Speaker 13>with this or in our work with the White Houns

0:39:04.280 --> 0:39:07.160
<v Speaker 13>with defcon is really in releasing a platform that and

0:39:07.560 --> 0:39:11.200
<v Speaker 13>a framework that can be used across for the rest

0:39:11.200 --> 0:39:13.320
<v Speaker 13>of for the in perpetuity by the industry.

0:39:13.440 --> 0:39:16.000
<v Speaker 1>We want to create an evaluation system that we can

0:39:16.120 --> 0:39:17.080
<v Speaker 1>always use to.

0:39:17.040 --> 0:39:19.600
<v Speaker 13>Evaluate the quality and performance of these models going forward.

0:39:19.760 --> 0:39:22.400
<v Speaker 4>But does it matter if we put regulation on the

0:39:22.560 --> 0:39:26.799
<v Speaker 4>United States or developed nations do when others many would

0:39:26.800 --> 0:39:30.000
<v Speaker 4>say China, Russia don't. And what does that look like

0:39:30.120 --> 0:39:33.200
<v Speaker 4>because technology doesn't have that many boundaries.

0:39:34.520 --> 0:39:36.640
<v Speaker 13>Yeah, I think this is this is a really really

0:39:36.640 --> 0:39:39.520
<v Speaker 13>important question, you know. I think that the topic of

0:39:39.560 --> 0:39:43.879
<v Speaker 13>AI regulation is certainly an important one, and as we've

0:39:43.920 --> 0:39:47.480
<v Speaker 13>seen with AI to date, the key to human centric

0:39:47.520 --> 0:39:51.719
<v Speaker 13>responsible AI is really a solid data foundation, you know.

0:39:51.719 --> 0:39:53.160
<v Speaker 1>For technology is transformed to this.

0:39:53.239 --> 0:39:55.440
<v Speaker 13>I think it's very important to consider the questions on

0:39:55.520 --> 0:39:59.040
<v Speaker 13>AI regulation and are what are the consumer impacts of

0:39:59.080 --> 0:40:01.520
<v Speaker 13>this technology? One of the reasons why we're so excited

0:40:01.520 --> 0:40:03.359
<v Speaker 13>about the work that we're doing with the White House

0:40:03.400 --> 0:40:06.880
<v Speaker 13>and others. That being said, like you mentioned, our adversaries,

0:40:06.880 --> 0:40:09.360
<v Speaker 13>our near peer competitors like Russia and China will not

0:40:09.480 --> 0:40:11.759
<v Speaker 13>let regulation get in the way of their ambitions, and

0:40:11.800 --> 0:40:13.680
<v Speaker 13>in fact, I think it's quite the opposite, they will

0:40:13.760 --> 0:40:17.040
<v Speaker 13>use these tools to tighten their grip on you know,

0:40:17.160 --> 0:40:19.640
<v Speaker 13>domestic social and political control.

0:40:20.320 --> 0:40:24.080
<v Speaker 5>So you know, now we'll finish that thought.

0:40:24.920 --> 0:40:25.160
<v Speaker 1>Yeah.

0:40:25.200 --> 0:40:28.120
<v Speaker 13>So you know in China, you know, the the the

0:40:28.120 --> 0:40:30.799
<v Speaker 13>content of their AI systems, you know, will need to

0:40:30.800 --> 0:40:35.200
<v Speaker 13>reflect their socialist core values and avoid information that that

0:40:35.280 --> 0:40:38.120
<v Speaker 13>undermines their state power, national unity. And so you know,

0:40:38.160 --> 0:40:43.080
<v Speaker 13>you see intent from our near peer competitors to to use.

0:40:42.880 --> 0:40:45.120
<v Speaker 1>This technology to for their ambitions.

0:40:45.120 --> 0:40:48.800
<v Speaker 13>And again they won't, they won't overregulate to prevent the

0:40:50.000 --> 0:40:51.680
<v Speaker 13>proliferation in spread of the technology.

0:40:52.360 --> 0:40:56.520
<v Speaker 5>Very briefly, open source versus not? Where do you come

0:40:56.560 --> 0:40:57.279
<v Speaker 5>down on order that?

0:40:58.600 --> 0:41:03.320
<v Speaker 13>So our belief is that enterprises and government customers need as.

0:41:03.120 --> 0:41:04.240
<v Speaker 1>Many options as possible.

0:41:04.320 --> 0:41:06.520
<v Speaker 13>And so our view again as I mentioned we're Switzerland,

0:41:06.680 --> 0:41:08.200
<v Speaker 13>we want to enable our customers to be able to

0:41:08.239 --> 0:41:10.359
<v Speaker 13>use open source models as well as the best closed

0:41:10.360 --> 0:41:14.279
<v Speaker 13>source models from nthropic, opening iico here, et cetera, to

0:41:14.320 --> 0:41:17.239
<v Speaker 13>be able to achieve their ambitions. So I think it's

0:41:17.280 --> 0:41:20.080
<v Speaker 13>really a question of choice, you know, I think the

0:41:20.160 --> 0:41:22.239
<v Speaker 13>more options that there are in the ecosyst the better,

0:41:22.800 --> 0:41:25.200
<v Speaker 13>and argles to enable as many of them as possible.

0:41:25.480 --> 0:41:27.720
<v Speaker 4>Alex Wang, go to spend some time with your founder

0:41:27.760 --> 0:41:38.000
<v Speaker 4>and CEO the scale AI. We've got to go back

0:41:38.040 --> 0:41:40.040
<v Speaker 4>to our one on only andenel adlone mountain view at

0:41:40.040 --> 0:41:43.160
<v Speaker 4>Google Io, which is about officially kick off, and I

0:41:43.160 --> 0:41:47.680
<v Speaker 4>imagine a high host of conversation around barred and ultificial intelligence.

0:41:49.600 --> 0:41:52.120
<v Speaker 10>Yeah, look, this is the developers conference, but it's all

0:41:52.160 --> 0:41:54.600
<v Speaker 10>about AI, and really what we want to know is

0:41:54.600 --> 0:41:58.239
<v Speaker 10>about a more conversational version of Google Search. So much

0:41:58.280 --> 0:42:00.560
<v Speaker 10>emphasis on bard when it was released in February, but

0:42:00.560 --> 0:42:03.239
<v Speaker 10>it was always meant to be a creative companion. So

0:42:03.360 --> 0:42:05.880
<v Speaker 10>how have they taken their work on the large language

0:42:05.880 --> 0:42:08.960
<v Speaker 10>models and moving the needle forward in terms of that

0:42:09.040 --> 0:42:12.320
<v Speaker 10>core search product. That's the big question for the thousands

0:42:12.320 --> 0:42:15.000
<v Speaker 10>of developers that are here but also worldwide virtually.

0:42:15.480 --> 0:42:18.359
<v Speaker 4>What about the developers that want to be building on

0:42:18.480 --> 0:42:20.880
<v Speaker 4>pieces of a hardware kit, the Google mans. Where are

0:42:20.920 --> 0:42:22.320
<v Speaker 4>we seeing the iteration of the pixel?

0:42:24.400 --> 0:42:27.759
<v Speaker 10>Yeah, so we expect them to unveil pixel fold, a

0:42:27.840 --> 0:42:30.759
<v Speaker 10>large form factor folding smartphone and you ask, well, how

0:42:30.760 --> 0:42:33.040
<v Speaker 10>does that relate to AI? But if you speak to

0:42:33.120 --> 0:42:35.640
<v Speaker 10>developers or analysts, they say, well, look how big it is?

0:42:35.840 --> 0:42:38.799
<v Speaker 10>Think about the processing power. What are the future on

0:42:38.800 --> 0:42:41.560
<v Speaker 10>the inference side of AI use cases that you can

0:42:41.600 --> 0:42:44.000
<v Speaker 10>do with a phone like that. Google has one percent

0:42:44.040 --> 0:42:47.680
<v Speaker 10>of the smartphone market. Flip phones or folding phones are

0:42:47.760 --> 0:42:51.080
<v Speaker 10>one percent of that market in itself. It's tiny, So

0:42:51.120 --> 0:42:52.719
<v Speaker 10>how are they going to move the needle forward here?

0:42:52.800 --> 0:42:56.120
<v Speaker 10>Grow their business and deeply integrate AI throughout all of

0:42:56.160 --> 0:42:57.560
<v Speaker 10>their software and hardware offerings.

0:42:57.600 --> 0:43:00.959
<v Speaker 4>Karrot ed great to have what's happening on the ground.

0:43:01.080 --> 0:43:03.040
<v Speaker 4>Go run off to that next speech that you'll be

0:43:03.080 --> 0:43:04.160
<v Speaker 4>listening to Ed Ludlow.

0:43:04.280 --> 0:43:05.040
<v Speaker 5>We thank him.

0:43:05.160 --> 0:43:07.120
<v Speaker 4>He's going to have so much more for you throughout

0:43:07.200 --> 0:43:09.640
<v Speaker 4>the day on Bloomberg TV from Google Io. But that

0:43:09.640 --> 0:43:12.120
<v Speaker 4>does it for this addition on Bloomberg Technology, Stay with

0:43:12.239 --> 0:43:14.440
<v Speaker 4>us for an exclusive conversation from.

0:43:14.320 --> 0:43:17.239
<v Speaker 5>Google Io, the head of Google Devices and Services. They

0:43:17.320 --> 0:43:19.040
<v Speaker 5>want to miss it. This is a Bloomberg