WEBVTT - Cisco Shares Slump, Coinbase Shares Surge

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the Heart where Innovation, money and power.

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<v Speaker 3>Collie in Silicon Valley, Nbon This is Bloomberg Technology with

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<v Speaker 3>Caroline Hyde and Ed Love Love.

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<v Speaker 4>I'm Caroline Heindel Bloomberg's Well headquarters in New York, and

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<v Speaker 4>I med Love Low in San Francisco.

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<v Speaker 5>This is Bloomberg Technology.

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<v Speaker 4>Coming up in the next hour. Cisco shares under pressure.

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<v Speaker 4>That's after delivering a disappointing outlook again along with plans

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<v Speaker 4>to cut thousands of jobs.

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<v Speaker 6>We have a story plus coinbase earnings out after the bell,

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<v Speaker 6>but shares jumped this morning after receiving an upgrade from

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<v Speaker 6>JP Morgan. Bitcoin holding above fifty two thousand dollars. Will

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<v Speaker 6>break down the numbers and hedge.

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<v Speaker 4>Funds buy into some of the biggest names in tech.

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<v Speaker 4>Fourth quarter Amazon, Intel, and Video among some of the

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<v Speaker 4>favorites that was revealed and yesterday's thirty NEFT filings. We're

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<v Speaker 4>going to walk through the winners and the losers. But

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<v Speaker 4>first let's check in on a key loser that is

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<v Speaker 4>a mover on the day. Some breaking news Teminos based

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<v Speaker 4>over in Europe.

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<v Speaker 7>Confident.

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<v Speaker 4>It says the company this is a software technology story

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<v Speaker 4>in the finance space, so it's confident in the strength

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<v Speaker 4>of their operations, so their financial cash position as well.

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<v Speaker 4>This is after a short note was put out on

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<v Speaker 4>the company six that's the benchmark manager over in Switzerland

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<v Speaker 4>saying that Teminos is suspended from trading until further notice.

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<v Speaker 4>We'll have more in that story as and when needed,

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<v Speaker 4>but for the time being, let's get back to the

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<v Speaker 4>macro picture of what's happening in US trading aside.

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<v Speaker 7>Of what's happening in Europe. We're off by two.

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<v Speaker 4>Tens percent on a NASDAK, some big tech names just

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<v Speaker 4>rolling over coming off a record highs and we're pulling

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<v Speaker 4>down two year yield though actually managing to dive.

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<v Speaker 7>A little bit.

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<v Speaker 4>But this is as we get that retail data that

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<v Speaker 4>showed that not everything is quite as rosy in the

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<v Speaker 4>US economy. Retail sales just falling that little bit lower

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<v Speaker 4>in January under what had been anticipated. Maybe the Fed

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<v Speaker 4>does cut in the second quarter yields. For I'm looking

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<v Speaker 4>at what's happening in the dollar versus the Japanese yen.

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<v Speaker 4>Dollar under pressure across the board all the g G

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<v Speaker 4>ten currencies, but notable even against the yen. Now this

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<v Speaker 4>is as we see Japanese economy as a whole fall

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<v Speaker 4>into a recession, and the yen has been under pressure

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<v Speaker 4>of late. And now as we want to have a

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<v Speaker 4>little look what's happening in the great world of crypto,

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<v Speaker 4>because we're going to dive so much more into ecosystem

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<v Speaker 4>the VC money going into crypto a little bit later

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<v Speaker 4>in the show, but for now we're coming off of

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<v Speaker 4>our hives. But we're still about forty fifty two thousand

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<v Speaker 4>dollars when it comes to the og that is bitcoin

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<v Speaker 4>and what if you've got on the micro.

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<v Speaker 6>A lot going on. Let's start with Cisco cutting jobs.

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<v Speaker 6>Cisco is revising its full year guidance. The story customers

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<v Speaker 6>are worried about the economy. They're pulling back on networking spending.

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<v Speaker 6>We'll get more details on that later in the program.

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<v Speaker 6>I would say Cisco is not down as much as

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<v Speaker 6>it had been earlier in the session. Alphabet parent of Google,

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<v Speaker 6>also interesting. One of the big movies to the downside.

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<v Speaker 6>The information is reporting that open ai is working on

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<v Speaker 6>its own search powered by being not drawing a direct link.

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<v Speaker 6>But there seems to be some pressure resulting from that story.

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<v Speaker 6>In Video one of the interesting stories of the thirteen

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<v Speaker 6>f situation. They're putting money into a lot of the

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<v Speaker 6>ecosystem that their AI accelerations are supporting.

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<v Speaker 5>Will dig into that, and finally Amazon.

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<v Speaker 6>I put those there because basically when I last checked,

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<v Speaker 6>and Video jumped above Amazon in the ranking of biggest

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<v Speaker 6>companies by market cap.

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<v Speaker 5>It's a pretty close run race right.

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<v Speaker 6>Now, but when you compare them in terms of revenue,

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<v Speaker 6>it's just such a fascinating story. And within Video earnings

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<v Speaker 6>on deck next week that is certainly one where we

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<v Speaker 6>have to think about the valuation. DoorDash is the other one.

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<v Speaker 6>After market. The gig economy has been the story of

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<v Speaker 6>the week. DoorDash reports it's up one point seventy five percent.

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<v Speaker 6>Does it benefit from the same things that Uber and

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<v Speaker 6>Lyft told us in the last seven days or so, Karra, That's.

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<v Speaker 7>What we've got to focus in on.

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<v Speaker 4>We've got the perfect guest to really talk us through

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<v Speaker 4>some of the key earnings still to come and that

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<v Speaker 4>have been in the past. Ever course, Mark Mahoney is

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<v Speaker 4>joining us on the array that has been.

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<v Speaker 7>Let's just start on dash push us forward. Seems as

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<v Speaker 7>though the consumer is resilient.

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<v Speaker 4>And so some of these gig economy companies are resilient, Caroline.

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<v Speaker 8>I think that's right. I think your interpretation is correct.

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<v Speaker 8>That's sort of what we learned from Uber and Lyft. Now,

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<v Speaker 8>these are all marketplaces, and so you've got to focus

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<v Speaker 8>on two things, the consumer demand dynamics and also the

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<v Speaker 8>supply dynamics. But the read throughs there, I think we're

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<v Speaker 8>sort of equally positive. Lift and Uber talking about twenty

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<v Speaker 8>five thirty percent rise in number of drivers on a

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<v Speaker 8>year over year basis. Drivers couriers, couriers in the case

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<v Speaker 8>of Uber Eats, Uber Delivery, so.

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<v Speaker 9>And that's for a variety of different reasons.

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<v Speaker 8>But I do think that the services just become better

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<v Speaker 8>working experiences. There's been a lot of technical improvements in

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<v Speaker 8>terms of the app for the couriers, for the drivers,

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<v Speaker 8>and I think the economics have got better. There's better

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<v Speaker 8>pay to be had, So anyway, all of that should

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<v Speaker 8>come through. We should see in door Dash's numbers tonight. Now,

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<v Speaker 8>this company's going to give four to your guides in there.

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<v Speaker 8>You know, companies are usually conservative going to give four

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<v Speaker 8>to your guides, So that could be a risk factor here,

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<v Speaker 8>But I think the overall macro trend I think is

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<v Speaker 8>positive for door dash and the gig economy trends I

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<v Speaker 8>think are specifically very positive for dash Mark.

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<v Speaker 6>There is one story that everyone has been talking about

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<v Speaker 6>in the past twenty four hours. It is the case

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<v Speaker 6>of the errands zero. Have a listened to this really quick.

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<v Speaker 3>Look at the growth, look at the fundamentals of the financials,

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<v Speaker 3>and to be very clear, this was it was a

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<v Speaker 3>bad error, but it was one zero in a press

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<v Speaker 3>release and you know a lot of other pages, and

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<v Speaker 3>of course we corrected it within seconds of finding it.

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<v Speaker 3>So I think, you know, like with any mistake, I

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<v Speaker 3>think it's not so much about the mistake itself, it's

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<v Speaker 3>also about how you correct for it. And we've corrected

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<v Speaker 3>for it obviously in the moment putting out new materials,

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<v Speaker 3>but also doing a really deep process s type including

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<v Speaker 3>having our own internal audit team, a separate team look

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<v Speaker 3>and figure out how we can make sure we never

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<v Speaker 3>make a mistake like this again.

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<v Speaker 6>There is That was David Risch Lift CEO talking to

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<v Speaker 6>us yesterday.

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<v Speaker 5>Mark. Have you ever seen anything like that in your career?

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<v Speaker 8>No, I hadn't, and I remember, you know, looking at

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<v Speaker 8>the press release, looking at the five hundred BIPs of

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<v Speaker 8>guided margin expansion and then hearing the CFO talking about

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<v Speaker 8>fifty BIPs that I world around by chairs a way

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<v Speaker 8>eight or there's a problem here, but no, I haven't.

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<v Speaker 9>But look, it's a mistake.

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<v Speaker 8>And I think David's comments were right, which is, well,

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<v Speaker 8>make mistakes. That's that's that's not terribly interesting. What's interesting

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<v Speaker 8>is how people react to them and whether they, you know,

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<v Speaker 8>come out admit that they made a mistake and correct it.

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<v Speaker 8>And I think they did a decent job of doing that.

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<v Speaker 8>It's it's it's unfortunate, but you know, the markets at

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<v Speaker 8>the end of the Day's how with Bobus. I mean

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<v Speaker 8>the margins are still improving, uh and uh, and the

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<v Speaker 8>demand chats are a better and there are focusing on

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<v Speaker 8>free cash flow.

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<v Speaker 9>I mean, that's just a there's a profitability inflection point here.

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<v Speaker 8>All of these businesses, if you give them enough scale,

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<v Speaker 8>you give them enough revenue growth, don't get the profitability.

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<v Speaker 8>People were very uncertain about that when the IPOs lift

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<v Speaker 8>an uber curve back in twenty nineteen, even more uncertain

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<v Speaker 8>during COVID, but it's come through. These companies have grown,

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<v Speaker 8>their bases are built up, their drivers, supplies improved, their

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<v Speaker 8>their consumer demand has improved, and through all of that

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<v Speaker 8>profits so starting to really show up, and the investors

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<v Speaker 8>are reacting very positively that they should be.

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<v Speaker 7>Jazz didn't react positively to Airbnb.

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<v Speaker 4>Mark K know you've been looking at that stack the

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<v Speaker 4>company and deciding whether ultimately it should be a long

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<v Speaker 4>term bet or not. What do you make of Airbnb

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<v Speaker 4>as it does see just a little bit of cooling

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<v Speaker 4>in the band.

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<v Speaker 8>Well, it's the highest multiple stock in travel trades, like

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<v Speaker 8>thirty times thirty five times earnings. I do prefer booking

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<v Speaker 8>a BKAT and I do prefer Expedia Expe to airbab.

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<v Speaker 8>Airbnb's results were fined. They we thought they were going

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<v Speaker 8>to have to warrant about their March border. They did,

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<v Speaker 8>But just because you had a real tough compy, you

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<v Speaker 8>had to pulled forward a demand beginning of twenty twenty

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<v Speaker 8>three that people just had to remember. And why did

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<v Speaker 8>you pull forward of demand until early twenty twenty three

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<v Speaker 8>Because everybody wanted to travel, but this was in a

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<v Speaker 8>by by Western centers. It was high inflation environments, and

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<v Speaker 8>so people booked early so that they could avoid prices.

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<v Speaker 9>Bikes during the summer.

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<v Speaker 8>Those price bikes, by the way, didn't happen, but people

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<v Speaker 8>were concerned about earlier in the year.

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<v Speaker 9>So you have put forward of demand created tough comps.

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<v Speaker 8>But as we'll go through the year, I think Airbnb,

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<v Speaker 8>spine the growth listen or what are you oh?

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<v Speaker 7>A technical difficulty mark?

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<v Speaker 5>I think we oh, you're back.

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<v Speaker 9>And that's the Olympics and every legal benefit mark.

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<v Speaker 6>We lost you for a second there, but that gave

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<v Speaker 6>me a chance to look at my Bloomberg terminal. Alphabet

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<v Speaker 6>paranor Google's the biggest points drag on the Nasdaq one

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<v Speaker 6>hundred this morning. The story the Information is reporting is

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<v Speaker 6>that open ai is coming with its own search partly

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<v Speaker 6>powered by Being. The stock seems to be reacting with

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<v Speaker 6>down three percent on the A shares. What do you

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<v Speaker 6>make of that? You know, Alphabet's company you cover.

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<v Speaker 8>I'd be surprised if open Ai, with an integrated search

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<v Speaker 8>engine with Being would really take away search share from Google.

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<v Speaker 8>You'd have to do a lot of things to take

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<v Speaker 8>away search share from Google. You have to come up

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<v Speaker 8>with a much better search product. You can't just have

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<v Speaker 8>a meet to products. So if Google's going to trade

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<v Speaker 8>off three percent I probably buy the stock just based

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<v Speaker 8>on that. I think that correction will be corrected, but

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<v Speaker 8>we'll see. There's more competition arguably now for Google Search.

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<v Speaker 8>I just think Google searches continue to improve. I think

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<v Speaker 8>some of these Gemini features that they're rolling out are

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<v Speaker 8>going to improve Google Search. So I'll take the other

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<v Speaker 8>side of a three percent correction on market share fears

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<v Speaker 8>for Google.

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<v Speaker 5>Mark.

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<v Speaker 6>We just have thirty seconds of the ginormous universe of

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<v Speaker 6>tech companies you cover who won earnings period so.

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<v Speaker 8>Far, Amazon and especially Meta. Everybody's spending more on Meta

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<v Speaker 8>today and margins and profits are arising there dramatically. Metal

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<v Speaker 8>looks like a really well positioned company in stock for twenty.

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<v Speaker 6>Four all right, I have a coast, Mark Mahanean, as

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<v Speaker 6>I said in massive universe of different technology companies cover.

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<v Speaker 5>That's why I love having you on the show. Thank

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<v Speaker 5>you very much.

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<v Speaker 8>Cisco's the backbone of the Internet, as you know, and

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<v Speaker 8>there routers, network server business, these things, their.

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<v Speaker 4>Switches are truly important to bring it.

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<v Speaker 2>In cash flow, but the future is in services.

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<v Speaker 6>That was David Barnson, their CEO of the Buns and Group.

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<v Speaker 6>And the thing is things didn't really transpire that way.

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<v Speaker 6>He was speaking twenty four hours ago. But last night

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<v Speaker 6>Cisco out with some pretty negative news, cutting headcount by

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<v Speaker 6>five percent, revising their full year guidance, and saying, our

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<v Speaker 6>customers are worried about the economy, so they're pulling back

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<v Speaker 6>on spending it. At the same time, that ripple effect

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<v Speaker 6>from AI, it's just not there for Cisco. I want

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<v Speaker 6>to bring in bloomboats. Brodie Ford out in New York City.

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<v Speaker 6>I mean, for me, that was the story, the difference

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<v Speaker 6>between networking and infrastructure, the Hyperscali's data center, Cisco's not

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<v Speaker 6>quite there yet.

0:10:59.000 --> 0:11:01.319
<v Speaker 10>Yeah, I think this is a song we have heard

0:11:01.360 --> 0:11:04.240
<v Speaker 10>before that corporate customers are a little worried.

0:11:04.640 --> 0:11:04.840
<v Speaker 2>You know.

0:11:05.040 --> 0:11:07.679
<v Speaker 10>Cisco said that they bought all this stuff over the

0:11:07.760 --> 0:11:11.920
<v Speaker 10>last couple of quarters, right, all of this infrastructure for

0:11:12.080 --> 0:11:15.080
<v Speaker 10>servers and internet, and they're saying, wait, let me install

0:11:15.120 --> 0:11:19.040
<v Speaker 10>all this stuff before I buy more, because that looming

0:11:19.080 --> 0:11:22.800
<v Speaker 10>recession could still be there. So, yeah, those corporate IT budgets.

0:11:23.160 --> 0:11:25.400
<v Speaker 10>As much as people have said that they are coming back,

0:11:25.440 --> 0:11:28.360
<v Speaker 10>it's clear from Cisco that folks are still a little

0:11:28.360 --> 0:11:28.960
<v Speaker 10>bit anxious.

0:11:29.559 --> 0:11:33.600
<v Speaker 4>And what's interesting is last quarter they missed stockfell and

0:11:33.760 --> 0:11:36.000
<v Speaker 4>Chuck Robins said, I wish I could blame the Macro

0:11:36.480 --> 0:11:37.920
<v Speaker 4>and I'm not back this time.

0:11:38.000 --> 0:11:39.760
<v Speaker 7>He kind of blamed the Macro.

0:11:39.960 --> 0:11:42.720
<v Speaker 4>Yeah, and he's not blaming a big a position that

0:11:42.760 --> 0:11:43.200
<v Speaker 4>they made.

0:11:43.320 --> 0:11:43.640
<v Speaker 5>Yeah.

0:11:43.679 --> 0:11:47.480
<v Speaker 10>Absolutely, twenty eight billion dollars for Splunk. It is on

0:11:47.600 --> 0:11:51.000
<v Speaker 10>the way. It has not closed yet. Big companies will

0:11:51.000 --> 0:11:54.839
<v Speaker 10>often say that mergers don't necessarily cause job reductions.

0:11:55.520 --> 0:11:56.480
<v Speaker 5>It seems like they usually do.

0:11:56.920 --> 0:11:59.720
<v Speaker 10>Right, They're about to bring in a couple thousand workers

0:11:59.720 --> 0:12:02.040
<v Speaker 10>from there's going to be overlap there, and I think

0:12:02.040 --> 0:12:03.960
<v Speaker 10>most people watching us say that this is kind of

0:12:03.960 --> 0:12:07.320
<v Speaker 10>preempting some of that overlap or an environment where companies

0:12:07.360 --> 0:12:09.520
<v Speaker 10>want to keep profits as high as they can keep

0:12:09.559 --> 0:12:12.240
<v Speaker 10>expenses low. I would expect part of this is due

0:12:12.280 --> 0:12:13.760
<v Speaker 10>to that Splunk acquisition and.

0:12:13.720 --> 0:12:16.280
<v Speaker 4>Spunk have been laying off workers as well, and anormation

0:12:16.480 --> 0:12:18.880
<v Speaker 4>maybe or just reacting to how the market is and

0:12:19.200 --> 0:12:22.800
<v Speaker 4>just fold in whether if they are blaming Macro this time,

0:12:23.000 --> 0:12:25.280
<v Speaker 4>how much Also just people have just sat on a

0:12:25.280 --> 0:12:27.600
<v Speaker 4>lot of gear and they haven't deployed it yet.

0:12:27.720 --> 0:12:31.520
<v Speaker 10>Ultimately, absolutely hardware it takes time to install, right, I Mean,

0:12:31.600 --> 0:12:33.920
<v Speaker 10>there was a period where there's all these backlogs and

0:12:33.960 --> 0:12:36.120
<v Speaker 10>people couldn't get the things they needed, whether that was

0:12:36.240 --> 0:12:40.160
<v Speaker 10>en routers or computers. That eased up and people started buying.

0:12:40.240 --> 0:12:41.960
<v Speaker 10>They said, let me get it while I can, right,

0:12:42.480 --> 0:12:44.080
<v Speaker 10>And I think now they're sitting on a lot of

0:12:44.080 --> 0:12:46.240
<v Speaker 10>this stuff and they're not wanting to buy more. At

0:12:46.320 --> 0:12:48.240
<v Speaker 10>least that's the narrative we heard during the earnings call

0:12:48.320 --> 0:12:48.800
<v Speaker 10>last night.

0:12:50.240 --> 0:12:53.040
<v Speaker 6>The numbers are that they've revised their full year sales

0:12:53.040 --> 0:12:56.120
<v Speaker 6>Garden guidance down by around two to three billion dollars

0:12:56.160 --> 0:12:59.679
<v Speaker 6>five percent. Headcount trim is about four thousand staff, so

0:13:00.280 --> 0:13:04.040
<v Speaker 6>it's it's not severe, but it doesn't inspire confidence. Tell

0:13:04.080 --> 0:13:06.719
<v Speaker 6>us about the partnership with Nvidia, because I think there

0:13:06.800 --> 0:13:09.480
<v Speaker 6>is some optimism from the cell side analyst this morning

0:13:09.760 --> 0:13:11.480
<v Speaker 6>that that might plot them apart forward.

0:13:12.120 --> 0:13:15.120
<v Speaker 10>Yes, there is some optimism there, but I will also

0:13:15.280 --> 0:13:17.680
<v Speaker 10>say that if I wanted to count off all the

0:13:17.760 --> 0:13:20.920
<v Speaker 10>companies I've heard of with partnerships with Nvidia, I wouldn't

0:13:20.920 --> 0:13:23.560
<v Speaker 10>have enough fingers, right. I mean, it's hard to tell

0:13:23.679 --> 0:13:25.439
<v Speaker 10>exactly how much uplift we get.

0:13:25.800 --> 0:13:30.120
<v Speaker 5>Brady Ford, you going sorry, you're right, no, No.

0:13:30.880 --> 0:13:33.720
<v Speaker 10>Another funny wrinkle here is that in the networking space.

0:13:33.760 --> 0:13:37.240
<v Speaker 10>Cisco has been unquestioned for a long time. We have

0:13:37.280 --> 0:13:40.840
<v Speaker 10>another funny merger coming Hpe and Juniper and then expressly

0:13:40.880 --> 0:13:43.800
<v Speaker 10>say that we are doing this to take on Cisco.

0:13:44.640 --> 0:13:46.480
<v Speaker 10>I think that will take, you know, a number of

0:13:46.559 --> 0:13:49.200
<v Speaker 10>quarters to see whether that really hurts them or not.

0:13:49.320 --> 0:13:51.360
<v Speaker 10>But I think that is another wrinkle here, that there

0:13:51.400 --> 0:13:54.880
<v Speaker 10>is a looming competitive concerns. So one more thing to

0:13:54.920 --> 0:13:56.840
<v Speaker 10>consider here. Maybe in Vidia can't save them.

0:13:57.600 --> 0:13:59.480
<v Speaker 7>Oh, in Vidio not to the rest of this time.

0:13:59.480 --> 0:14:01.640
<v Speaker 4>It has been to Thesco of certain share prices today

0:14:01.640 --> 0:14:03.120
<v Speaker 4>of others that will dig into in a bit later.

0:14:03.200 --> 0:14:05.400
<v Speaker 4>Brodie Ford Rank, you always a joy to.

0:14:05.400 --> 0:14:06.000
<v Speaker 7>Have on the show.

0:14:06.040 --> 0:14:10.439
<v Speaker 4>Meanwhile, coming up AI started AI startup Lander is now

0:14:10.480 --> 0:14:12.080
<v Speaker 4>to one point five billion dollar valuation.

0:14:12.120 --> 0:14:13.240
<v Speaker 7>It's the latest funning round it.

0:14:13.360 --> 0:14:16.600
<v Speaker 4>CEO is going to be joining us, Stefan Allaman joining

0:14:16.679 --> 0:14:17.240
<v Speaker 4>us next ed.

0:14:17.280 --> 0:14:18.280
<v Speaker 7>But you've got something to look.

0:14:18.160 --> 0:14:21.960
<v Speaker 6>Ahead to, Yes, super Micro, this speaks to every story

0:14:22.000 --> 0:14:24.200
<v Speaker 6>we've just covered. The stock is now up two hundred

0:14:24.240 --> 0:14:26.560
<v Speaker 6>and thirty six percent year to date, nine percent in

0:14:26.600 --> 0:14:29.680
<v Speaker 6>the session. Bank of America initiating coverage with a by

0:14:29.840 --> 0:14:34.760
<v Speaker 6>rating one thousand and forty price target. This is basically

0:14:35.080 --> 0:14:38.280
<v Speaker 6>what Cisco is not. It's everything in the data center

0:14:38.320 --> 0:14:41.640
<v Speaker 6>and the server design, apart from the AI accelerator itself.

0:14:41.800 --> 0:14:44.400
<v Speaker 6>So they're a real beneficiary of the infrastructure build out

0:14:44.400 --> 0:14:48.120
<v Speaker 6>we're seeing and they've massively outperformed every index, even in

0:14:48.240 --> 0:14:51.640
<v Speaker 6>Vidia by many factors. And so this is one that

0:14:51.680 --> 0:14:54.200
<v Speaker 6>we want to talk about more. Super micro computing up

0:14:54.280 --> 0:15:05.160
<v Speaker 6>nine percent. This is Bloomberg Technology.

0:15:06.800 --> 0:15:08.000
<v Speaker 7>Time now for talking tech.

0:15:08.040 --> 0:15:10.800
<v Speaker 4>And first up, a SpaceX rockets blasted off in the

0:15:10.800 --> 0:15:13.360
<v Speaker 4>middle of the night, aiming to make the first touchdown

0:15:13.640 --> 0:15:16.680
<v Speaker 4>of a US made spacecraft on the Moon in fifty years,

0:15:16.800 --> 0:15:20.080
<v Speaker 4>called an Oversea The spacecraft, built in Houston, is based

0:15:20.240 --> 0:15:23.160
<v Speaker 4>initiative machines of the company behind it and will make

0:15:23.200 --> 0:15:27.160
<v Speaker 4>its touchdown attempt on February twenty second. Meanwhile, chip maker

0:15:27.400 --> 0:15:31.000
<v Speaker 4>Rhnessus agreed to buy software firm Altium for nearly six

0:15:31.000 --> 0:15:33.400
<v Speaker 4>billion dollars, the biggest acquisition yet for the Australian listed

0:15:33.440 --> 0:15:36.640
<v Speaker 4>company by a Japanese buyer. Now Rnessas, which is a

0:15:36.720 --> 0:15:39.880
<v Speaker 4>Toyota supply is looking to lower its reliance on making

0:15:39.960 --> 0:15:41.000
<v Speaker 4>automotive chips.

0:15:41.200 --> 0:15:42.720
<v Speaker 7>Plus Taiwan stop.

0:15:42.480 --> 0:15:45.920
<v Speaker 4>Benchmark surge to its highest level on record, boosted by

0:15:45.960 --> 0:15:47.800
<v Speaker 4>what expectations.

0:15:47.160 --> 0:15:48.240
<v Speaker 7>Of strong AI demand.

0:15:48.440 --> 0:15:51.360
<v Speaker 4>The tai x rallied that says TSMC, which has a

0:15:51.360 --> 0:15:53.480
<v Speaker 4>waiting of around thirty percent of the index, reported its

0:15:53.560 --> 0:15:55.640
<v Speaker 4>January sales and the rose almost eight percent from a

0:15:55.680 --> 0:15:58.280
<v Speaker 4>year ago. It really is propelling the chipmaker's market capitol

0:15:58.360 --> 0:16:00.640
<v Speaker 4>record five hundred seventy five billion dollars. It's enough to

0:16:00.640 --> 0:16:04.040
<v Speaker 4>surpass Visa to become the world's twelfth most valuable company.

0:16:04.120 --> 0:16:05.080
<v Speaker 7>And what have you got on ai?

0:16:05.800 --> 0:16:06.120
<v Speaker 5>Okay?

0:16:06.200 --> 0:16:10.080
<v Speaker 6>Lambda, which provides cloud computing services and computers to train

0:16:10.200 --> 0:16:13.760
<v Speaker 6>AI software, is announcing a Series C funding round three

0:16:13.840 --> 0:16:17.000
<v Speaker 6>hundred and twenty million dollars, valuing the company at one

0:16:17.080 --> 0:16:20.800
<v Speaker 6>point five billion dollars. The financing was led by billionaire

0:16:20.840 --> 0:16:25.440
<v Speaker 6>Thomas tools us Innovavid Technology, and includes participation from the

0:16:25.560 --> 0:16:29.160
<v Speaker 6>likes of B Capital, sk Telecom, as well as Bloomberg Beta,

0:16:29.240 --> 0:16:32.360
<v Speaker 6>the venture capital arm of Bloomberg Bloomberg LP, of course,

0:16:32.400 --> 0:16:35.200
<v Speaker 6>the parent company of Bloomberg Television. Let's bring in Labda

0:16:35.280 --> 0:16:38.400
<v Speaker 6>CEO Steven Stephen Balaban to join us for more. Let's

0:16:38.400 --> 0:16:41.000
<v Speaker 6>go back to basics. What is it that Lambda does?

0:16:41.040 --> 0:16:42.760
<v Speaker 6>What do you build and what do you offer?

0:16:43.120 --> 0:16:47.280
<v Speaker 11>Lambda is an AI compute platform. We have GPU servers,

0:16:47.560 --> 0:16:50.880
<v Speaker 11>GPU workstations, and GPU cloud service that we provide to

0:16:50.920 --> 0:16:52.240
<v Speaker 11>AI developers.

0:16:52.320 --> 0:16:55.640
<v Speaker 6>And so this money is a significant series C. We've

0:16:55.640 --> 0:16:57.760
<v Speaker 6>done a lot on this show about the buildout and

0:16:57.840 --> 0:17:02.240
<v Speaker 6>IAI infrastructure. We're literally talking server designs going into data

0:17:02.280 --> 0:17:05.320
<v Speaker 6>centers normally run by the hyperscalers. What are you going

0:17:05.400 --> 0:17:06.520
<v Speaker 6>to take that cash.

0:17:06.280 --> 0:17:06.840
<v Speaker 5>And do with it?

0:17:07.240 --> 0:17:09.239
<v Speaker 11>Well, we're going to be deployed tens of thousands of

0:17:09.320 --> 0:17:12.480
<v Speaker 11>new and video GPUs into our data center and to

0:17:13.160 --> 0:17:15.840
<v Speaker 11>providing those GPUs as part of our cloud service.

0:17:16.200 --> 0:17:19.760
<v Speaker 4>Okay, go back to the origin story here, Stephen, because

0:17:19.760 --> 0:17:20.879
<v Speaker 4>it's an interesting one.

0:17:21.240 --> 0:17:22.560
<v Speaker 7>You weren't always in this game.

0:17:22.800 --> 0:17:26.720
<v Speaker 4>In fact, you were making facial recognition technology and ways

0:17:26.720 --> 0:17:29.600
<v Speaker 4>in which I could augment my face RAI and then

0:17:29.680 --> 0:17:34.159
<v Speaker 4>your own bills for your own cloud consumption got too high,

0:17:34.320 --> 0:17:34.960
<v Speaker 4>so tell us that.

0:17:35.480 --> 0:17:35.760
<v Speaker 2>Yeah.

0:17:35.800 --> 0:17:38.399
<v Speaker 11>So LAMB just started off as a face and image

0:17:38.440 --> 0:17:42.639
<v Speaker 11>recognition software development company. So we were AI engineers ourselves,

0:17:43.040 --> 0:17:46.679
<v Speaker 11>and we ended up getting a really high cloud service

0:17:46.720 --> 0:17:49.600
<v Speaker 11>bill and we figured, you know what, it was a

0:17:49.640 --> 0:17:53.440
<v Speaker 11>lot more cost effective for us to redesign and reimagine

0:17:53.560 --> 0:17:56.879
<v Speaker 11>what an AI cloud should look like in the age

0:17:56.920 --> 0:18:00.840
<v Speaker 11>of training neural networks and inferencing neural network and so

0:18:01.000 --> 0:18:03.800
<v Speaker 11>that's how we pivoted into the cloud business that we're

0:18:03.800 --> 0:18:04.160
<v Speaker 11>in today.

0:18:04.280 --> 0:18:07.600
<v Speaker 4>And Stephen, I really want to try and understand competitors

0:18:07.680 --> 0:18:08.679
<v Speaker 4>versus frenemies.

0:18:09.160 --> 0:18:10.280
<v Speaker 7>I find it very hard.

0:18:10.119 --> 0:18:13.000
<v Speaker 4>To basically get to grips with who you're servicing, who

0:18:13.000 --> 0:18:14.960
<v Speaker 4>your clients are, because it looks as though some of

0:18:14.960 --> 0:18:17.919
<v Speaker 4>your clients are even some of the hyperscalers ultimately.

0:18:17.560 --> 0:18:19.159
<v Speaker 7>You're going in competition with.

0:18:19.280 --> 0:18:21.440
<v Speaker 4>Can you just tell us how ultimately you think the

0:18:21.520 --> 0:18:22.760
<v Speaker 4>layer of the land will look like in.

0:18:22.680 --> 0:18:23.360
<v Speaker 7>Five years time.

0:18:24.359 --> 0:18:28.919
<v Speaker 11>Yeah, So Landa's customers include, you know, trillion dollar market

0:18:28.920 --> 0:18:33.040
<v Speaker 11>cap Fortune five hundred companies, companies that are major enterprises

0:18:33.080 --> 0:18:36.600
<v Speaker 11>like Rakuten who are integrating AI into their products and services,

0:18:36.760 --> 0:18:40.399
<v Speaker 11>and venture back startup companies like any Scale, and so

0:18:40.960 --> 0:18:44.840
<v Speaker 11>you know, we really primarily provide and cater towards that

0:18:44.920 --> 0:18:50.480
<v Speaker 11>AI developer, and that's that's who who we've been basically

0:18:50.480 --> 0:18:51.560
<v Speaker 11>providing our services to.

0:18:53.280 --> 0:18:56.080
<v Speaker 6>Steve, I'm just really interested on the hardware side of

0:18:56.080 --> 0:19:00.359
<v Speaker 6>this story. So you know, I'm assuming that you are

0:19:00.359 --> 0:19:03.600
<v Speaker 6>building out your infrastructure with DGX or HGX, right the

0:19:03.880 --> 0:19:07.800
<v Speaker 6>broader server design. But what's happening right now in twenty

0:19:07.840 --> 0:19:10.320
<v Speaker 6>twenty four, remarkably quickly as we're kind of moving from

0:19:10.400 --> 0:19:16.040
<v Speaker 6>this focus on training to inference and understanding the energy

0:19:16.040 --> 0:19:19.600
<v Speaker 6>and compute load for inference, do you then start looking

0:19:19.720 --> 0:19:23.240
<v Speaker 6>elsewhere like AMD that I three hundred x. How do

0:19:23.320 --> 0:19:25.600
<v Speaker 6>you transition your own footprint in business?

0:19:27.440 --> 0:19:33.480
<v Speaker 11>So look, today Lambda is exclusively providing in video GPUs

0:19:33.680 --> 0:19:35.960
<v Speaker 11>and the reason for that is because that's what the

0:19:36.000 --> 0:19:40.680
<v Speaker 11>market's demanding, right you know, it's very simple. We are

0:19:41.000 --> 0:19:46.360
<v Speaker 11>a compute provider that technically speaking, and from our software

0:19:46.840 --> 0:19:51.040
<v Speaker 11>architecture and our software platform is agnostic to what the

0:19:51.160 --> 0:19:56.960
<v Speaker 11>underlying accelerator platform is. But so far today we've been

0:19:57.440 --> 0:19:58.560
<v Speaker 11>pure in video.

0:19:59.400 --> 0:20:01.439
<v Speaker 6>Let's look at the valuation and let's look at the

0:20:01.440 --> 0:20:06.879
<v Speaker 6>money you raised. Valuation is high. Talks me about the

0:20:06.920 --> 0:20:10.320
<v Speaker 6>reality of your business from a revenue generation standpoint, Which

0:20:10.400 --> 0:20:14.280
<v Speaker 6>markets you operate in outside of North America, the number

0:20:14.320 --> 0:20:16.600
<v Speaker 6>of customers you have. I think we're just we're learning

0:20:16.640 --> 0:20:18.520
<v Speaker 6>about you, and we're thinking, well, hold on, this sounds

0:20:18.560 --> 0:20:20.240
<v Speaker 6>like you're a really key part of the system.

0:20:20.720 --> 0:20:24.040
<v Speaker 11>So Land has been pretty under the radar, but we

0:20:24.080 --> 0:20:28.080
<v Speaker 11>have over ten thousand customers. In fiscal year twenty twenty two,

0:20:28.080 --> 0:20:30.879
<v Speaker 11>we did over one hundred million dollars of shipped gap revenue.

0:20:31.200 --> 0:20:33.520
<v Speaker 11>Last year we did over two hundred and thirty seven

0:20:33.560 --> 0:20:36.800
<v Speaker 11>million dollars of ship revenue. So we already have a

0:20:36.800 --> 0:20:40.000
<v Speaker 11>pretty substantial business. And in terms of valuation, I think

0:20:40.000 --> 0:20:43.280
<v Speaker 11>that you're looking at these these revenue multiples and you're

0:20:43.280 --> 0:20:45.760
<v Speaker 11>probably thinking, Wow, that's actually quite reasonable given the growth,

0:20:46.000 --> 0:20:49.080
<v Speaker 11>given the customer base, and given the sheer amount of revenue.

0:20:49.119 --> 0:20:52.840
<v Speaker 4>Hew I'm the CEO, Stephen Bellavan. Thank you so much

0:20:52.840 --> 0:20:55.120
<v Speaker 4>for your time on the talks of fundraise.

0:20:54.680 --> 0:21:03.560
<v Speaker 7>What you're going to be deploying in on Welcome back

0:21:03.560 --> 0:21:06.160
<v Speaker 7>to bluebo Teleology. I'm Karen had in New York and I.

0:21:06.119 --> 0:21:07.760
<v Speaker 6>Med love Loow in San Francisco. I want to focus

0:21:07.760 --> 0:21:10.000
<v Speaker 6>in on crypto for a minute, and in particular bitcoin,

0:21:10.080 --> 0:21:13.200
<v Speaker 6>what else We're above fifty two thousand US dollars per token.

0:21:13.760 --> 0:21:16.920
<v Speaker 6>There is some momentum here from the lunar New Year.

0:21:17.400 --> 0:21:21.320
<v Speaker 6>There is a concentration on the data around netflows into

0:21:21.359 --> 0:21:25.119
<v Speaker 6>the spot ETFs that are available, and as we discussed

0:21:25.160 --> 0:21:28.080
<v Speaker 6>on this show, some people are thinking about the imminent

0:21:28.119 --> 0:21:31.119
<v Speaker 6>harving that's coming in April, but this is the highest

0:21:31.160 --> 0:21:33.520
<v Speaker 6>level since December of twenty twenty one. We've been at

0:21:33.520 --> 0:21:36.080
<v Speaker 6>that level for a few days now. Kind of interesting

0:21:36.119 --> 0:21:38.879
<v Speaker 6>that is on the pure risk asset asset that is

0:21:38.920 --> 0:21:42.080
<v Speaker 6>bitcoin on the equity side, and crypto related stocks were

0:21:42.160 --> 0:21:45.680
<v Speaker 6>zeroed in on Coinbase, partly because coinbased reports after market,

0:21:45.760 --> 0:21:47.679
<v Speaker 6>and I think there's an expectation here.

0:21:47.640 --> 0:21:49.720
<v Speaker 5>That Wall Street might get surprised with profit.

0:21:49.960 --> 0:21:52.679
<v Speaker 6>In Coinbase's case, I always look at the chart and

0:21:52.880 --> 0:21:55.480
<v Speaker 6>there is quite clearly a close correlation at the moment

0:21:55.520 --> 0:21:58.439
<v Speaker 6>between the trading we see in Coinbase the movement that

0:21:58.480 --> 0:22:01.399
<v Speaker 6>we see in bitcoin. But JP Morgan, one of the

0:22:01.440 --> 0:22:05.280
<v Speaker 6>more bearish names on coinbase ditched a very short lived

0:22:05.280 --> 0:22:07.320
<v Speaker 6>call that they had on the stockol there. I want

0:22:07.359 --> 0:22:09.520
<v Speaker 6>to go to DC and bring in Bloombose, Kaylee Lines.

0:22:09.560 --> 0:22:12.440
<v Speaker 6>I mean that for me is a lot of different stories,

0:22:12.440 --> 0:22:14.240
<v Speaker 6>but Coinbase really in focus today.

0:22:14.480 --> 0:22:14.680
<v Speaker 5>Yeah.

0:22:14.680 --> 0:22:17.040
<v Speaker 12>Absolutely to your point about how short lived this JP

0:22:17.119 --> 0:22:19.639
<v Speaker 12>Morgan bearish call was. The call was just made on

0:22:19.720 --> 0:22:22.680
<v Speaker 12>January twenty third, essentially saying that Coinbase was going to

0:22:22.680 --> 0:22:26.200
<v Speaker 12>suffer because enthusiasm around these spot bitcoin ETFs was going

0:22:26.240 --> 0:22:28.239
<v Speaker 12>to deflate and that would lead to lower volumes there

0:22:28.240 --> 0:22:31.280
<v Speaker 12>for lower revenue potentially for Coinbase. What we have seen, though,

0:22:31.280 --> 0:22:33.199
<v Speaker 12>and you were just speaking of it, is instead a

0:22:33.280 --> 0:22:36.240
<v Speaker 12>rally in not just bitcoin but ethereum as well, bitcoins

0:22:36.240 --> 0:22:39.000
<v Speaker 12>above fifty two thousand dollars, and so today JP Morgan

0:22:39.080 --> 0:22:42.080
<v Speaker 12>is actually saying that as you have these higher prices,

0:22:42.119 --> 0:22:44.840
<v Speaker 12>that is going to translate into better business for Coinbase

0:22:44.880 --> 0:22:47.439
<v Speaker 12>as an exchange because the higher volumes do you have

0:22:47.560 --> 0:22:50.439
<v Speaker 12>obviously more activity and higher value when you're deriving a

0:22:50.480 --> 0:22:51.959
<v Speaker 12>fee based on value.

0:22:52.000 --> 0:22:53.159
<v Speaker 7>All of that could add up.

0:22:53.400 --> 0:22:55.520
<v Speaker 12>To a more positive earnings picture for the company, and

0:22:55.520 --> 0:22:57.439
<v Speaker 12>of course we're going to get detail into what exactly

0:22:57.520 --> 0:23:00.359
<v Speaker 12>that earnings picture really looks like after the bell today.

0:23:00.400 --> 0:23:03.720
<v Speaker 12>As you said, most analysts do still expect Coinbase is

0:23:03.760 --> 0:23:05.920
<v Speaker 12>going to post a loss. The average analyst estimate is

0:23:05.960 --> 0:23:08.480
<v Speaker 12>a loss of about sixteen million dollars or so. But

0:23:08.520 --> 0:23:10.760
<v Speaker 12>there are some who actually think we could see a

0:23:10.800 --> 0:23:14.080
<v Speaker 12>surprise profit, including Oppenheiner and Needham, which is looking for

0:23:14.080 --> 0:23:17.040
<v Speaker 12>an income of about one hundred and three million dollars.

0:23:17.080 --> 0:23:19.240
<v Speaker 12>So we'll see if we are indeed surprised come a

0:23:19.320 --> 0:23:20.120
<v Speaker 12>few hours from now.

0:23:20.560 --> 0:23:22.959
<v Speaker 6>Bloomberg's K Lines, one of the hosts of Bloomberg Crypto,

0:23:23.000 --> 0:23:25.159
<v Speaker 6>which honestly is a show that you really need to

0:23:25.160 --> 0:23:26.240
<v Speaker 6>be plugged into right now.

0:23:26.280 --> 0:23:28.480
<v Speaker 5>Great to catch up for you at a DC caro.

0:23:28.560 --> 0:23:29.439
<v Speaker 5>What do you got We're on.

0:23:29.440 --> 0:23:32.480
<v Speaker 4>Crypto sec check Auriganza. He's sat down with our own

0:23:32.560 --> 0:23:36.080
<v Speaker 4>David Weston to explain his reasoning, but can't behind all

0:23:36.080 --> 0:23:38.920
<v Speaker 4>of those approvals of those bitcoin ets spot bitcoin lines

0:23:38.960 --> 0:23:39.439
<v Speaker 4>take listening.

0:23:40.640 --> 0:23:44.000
<v Speaker 13>Several years ago, back in twenty twenty one, there was

0:23:44.040 --> 0:23:49.440
<v Speaker 13>a product that went live, so to speak, an exchange

0:23:49.480 --> 0:23:53.280
<v Speaker 13>traded fun wrapped around these bitcoin futures at the Chicago

0:23:53.320 --> 0:23:58.000
<v Speaker 13>Mercantil Exchange. And then a different set of products came

0:23:58.080 --> 0:24:01.960
<v Speaker 13>to us and asked a lists on the stock exchanges.

0:24:02.200 --> 0:24:04.960
<v Speaker 13>And while we had denied like two dozen of these

0:24:05.000 --> 0:24:09.840
<v Speaker 13>over about five years, a court in Washington said no,

0:24:10.400 --> 0:24:12.760
<v Speaker 13>they thought we had not gotten that right, and they

0:24:12.880 --> 0:24:16.199
<v Speaker 13>remanded it back to us, And I thought, really the

0:24:16.200 --> 0:24:20.159
<v Speaker 13>most sustainable thing forward was to approve these given the

0:24:20.200 --> 0:24:24.879
<v Speaker 13>court ruling. In terms of the statistics, we really do

0:24:25.000 --> 0:24:29.320
<v Speaker 13>look out ensure as best we can there's not fraud manipulation.

0:24:29.400 --> 0:24:32.399
<v Speaker 13>But one of the challenges on the bitcoin markets, David

0:24:32.840 --> 0:24:37.280
<v Speaker 13>is so much of its traded on trading platforms that

0:24:37.400 --> 0:24:42.800
<v Speaker 13>are non compliant with our laws. Now, bitcoin's not a security,

0:24:43.320 --> 0:24:45.800
<v Speaker 13>but there are trading on those platforms a lot of

0:24:45.840 --> 0:24:52.480
<v Speaker 13>other crypto tokens. Without prejudging anyone, I'd be careful that

0:24:53.040 --> 0:24:56.480
<v Speaker 13>with hundreds of other crypto tokens on there, likely there's

0:24:56.560 --> 0:25:02.000
<v Speaker 13>other securities and in court in a number of these

0:25:02.040 --> 0:25:07.560
<v Speaker 13>cases in front of various judges and panels, and so

0:25:07.680 --> 0:25:11.200
<v Speaker 13>the American public when you're investing in something like bitcoin

0:25:11.320 --> 0:25:16.640
<v Speaker 13>to be aware one it's a highly speculative asset. Number two,

0:25:16.720 --> 0:25:20.720
<v Speaker 13>it's generally trading on some platform that is not fully

0:25:20.760 --> 0:25:25.280
<v Speaker 13>compliant with the securities loss for other things they're doing.

0:25:26.280 --> 0:25:30.000
<v Speaker 13>And number three, I admit sin is think about what

0:25:30.680 --> 0:25:33.159
<v Speaker 13>use case? What is the actual use case? When you

0:25:33.280 --> 0:25:36.800
<v Speaker 13>buy one hundred shares of XYZ stock, you kind of

0:25:36.800 --> 0:25:39.760
<v Speaker 13>know what's behind that company, what that they're there is.

0:25:41.560 --> 0:25:45.320
<v Speaker 4>A sec chair Gary Gensler, and well we can stick

0:25:45.560 --> 0:25:48.399
<v Speaker 4>to all things bitcoin ets. The approvals that have prompted

0:25:48.440 --> 0:25:52.800
<v Speaker 4>some optimism throughout the entire crypto ecosystem basically, and it's

0:25:52.800 --> 0:25:55.840
<v Speaker 4>been accompanied therefore by an optique in funding and VC funding.

0:25:55.840 --> 0:25:58.680
<v Speaker 4>After six quarters of decline. I used to say, Pitchbook's

0:25:58.680 --> 0:26:01.000
<v Speaker 4>fourth quarter cryptop what is out today and we can

0:26:01.040 --> 0:26:03.600
<v Speaker 4>speak with the analysts behind it. Robert Lee joining us

0:26:03.600 --> 0:26:06.040
<v Speaker 4>for more, And well, let's pick up where Garrigan's are

0:26:06.119 --> 0:26:09.000
<v Speaker 4>left off, because you actually highlight within the report perhaps

0:26:09.040 --> 0:26:12.040
<v Speaker 4>some of the regulatory uncertainties that hang over these crypt

0:26:12.240 --> 0:26:15.840
<v Speaker 4>native exchanges. I'm thinking particularly of the decentralized exchanges.

0:26:15.400 --> 0:26:16.240
<v Speaker 7>Unit swip on the like.

0:26:16.720 --> 0:26:21.040
<v Speaker 4>How is that affecting optimism or not in ultimately backing

0:26:21.040 --> 0:26:22.320
<v Speaker 4>these companies and seeing them grow.

0:26:23.160 --> 0:26:26.320
<v Speaker 2>Yeah, I think look, invest serves have looked at these

0:26:27.040 --> 0:26:29.320
<v Speaker 2>you know, sexualized the changes and seeing what's happened over

0:26:29.400 --> 0:26:32.080
<v Speaker 2>the last you know, eighteen months or so. Yep, a

0:26:32.119 --> 0:26:34.600
<v Speaker 2>lot of the bad actors have been flushed out. Are

0:26:34.600 --> 0:26:37.399
<v Speaker 2>there more bad actors out there? Possibly? But you know,

0:26:37.520 --> 0:26:40.720
<v Speaker 2>I think investors feel a lot more confident in how

0:26:40.720 --> 0:26:44.680
<v Speaker 2>they can assess and diligencies bad actors. You know, they

0:26:44.800 --> 0:26:47.000
<v Speaker 2>really have the tool us to do that now. So

0:26:47.480 --> 0:26:50.000
<v Speaker 2>we know that regulations are going to come and you

0:26:50.040 --> 0:26:52.399
<v Speaker 2>know that that is a big challenge for investment, especially

0:26:52.400 --> 0:26:54.040
<v Speaker 2>here in the US. So, you know, the last time

0:26:54.040 --> 0:26:56.119
<v Speaker 2>we spell probably six eight months ago, said the regulation

0:26:56.240 --> 0:26:59.160
<v Speaker 2>arbitragy isn't really there yet. You're starting to see that now.

0:26:59.440 --> 0:27:02.440
<v Speaker 2>So the longer that we have, you know, this regulatory

0:27:02.520 --> 0:27:04.760
<v Speaker 2>uncertainty here in the US, we're going to start seeing

0:27:04.760 --> 0:27:07.720
<v Speaker 2>more innovation continue to move abroad. And you speak to

0:27:07.760 --> 0:27:09.520
<v Speaker 2>investors and you look at all a lot of the

0:27:09.520 --> 0:27:13.080
<v Speaker 2>big investments in Q four, they happen outside of the US.

0:27:13.600 --> 0:27:16.280
<v Speaker 2>So investors, they're traveling the world now, they're you know,

0:27:16.320 --> 0:27:19.239
<v Speaker 2>they're not sitting in San Francisco comfortable having founders come

0:27:19.280 --> 0:27:21.840
<v Speaker 2>to their offices anymore, not in the crypto space. They're

0:27:21.880 --> 0:27:24.280
<v Speaker 2>traveling around and they're going to conferences in Europe and

0:27:24.280 --> 0:27:26.680
<v Speaker 2>in Asia to meet these founders, and that's what you're seeing.

0:27:26.720 --> 0:27:28.920
<v Speaker 2>So you know the regulation is gonna be a pretty

0:27:28.920 --> 0:27:31.000
<v Speaker 2>difficult aspect, and you know it's gonna be a big

0:27:31.040 --> 0:27:32.919
<v Speaker 2>concern here in the US. But then you know, if

0:27:32.960 --> 0:27:37.280
<v Speaker 2>that's if the legislation doesn't happen here, regulators doesn't get

0:27:37.560 --> 0:27:40.840
<v Speaker 2>act together here, then then investors going to find opportunities elsewhere.

0:27:41.160 --> 0:27:44.440
<v Speaker 4>And the opportunities are finding abroad and maybe even here

0:27:44.440 --> 0:27:46.240
<v Speaker 4>in New York. As cristicks And would like to say

0:27:46.280 --> 0:27:50.280
<v Speaker 4>from a sixteen, SI's crypto, what are you what sort

0:27:50.320 --> 0:27:52.119
<v Speaker 4>of things are being built. It feels as though a

0:27:52.119 --> 0:27:54.080
<v Speaker 4>lot of it is back on bitcoins since the spot

0:27:54.080 --> 0:27:57.280
<v Speaker 4>Bitcoin ETF but it's about making it well scalable ultimately.

0:27:57.800 --> 0:28:01.080
<v Speaker 2>Yeah, so we've we it is in the research is

0:28:01.119 --> 0:28:06.320
<v Speaker 2>that the layer twos for bitcoin is a pretty interesting phenomenon.

0:28:06.480 --> 0:28:08.480
<v Speaker 2>We've seen a lot of development in it in the

0:28:08.560 --> 0:28:11.119
<v Speaker 2>last year, so we're starting to see a lot of

0:28:11.200 --> 0:28:15.119
<v Speaker 2>investments happen as well. You know, bitcoin historically was just

0:28:15.200 --> 0:28:18.320
<v Speaker 2>a digital store of value and maybe some for payments.

0:28:18.600 --> 0:28:20.960
<v Speaker 2>Now you're starting to see these layer twos that enables

0:28:21.000 --> 0:28:25.000
<v Speaker 2>programmability and turning bitcoin really into a computing platform very

0:28:25.000 --> 0:28:27.679
<v Speaker 2>similar to ethereum. And with that you can have all

0:28:27.680 --> 0:28:31.360
<v Speaker 2>these applications be built on a DeFi, n F T S, gaming, uh,

0:28:31.400 --> 0:28:34.200
<v Speaker 2>stable coins. So you're starting to see that come to space.

0:28:34.240 --> 0:28:37.600
<v Speaker 2>So this year, you know, with the spot bitcoin ets

0:28:37.880 --> 0:28:40.360
<v Speaker 2>with the having happening in April, and I think, you know,

0:28:40.440 --> 0:28:44.240
<v Speaker 2>bitcoin becoming this computing platform. That's a very strong bulish

0:28:44.280 --> 0:28:45.040
<v Speaker 2>case for bitcoin.

0:28:46.960 --> 0:28:50.040
<v Speaker 6>Robert were banging in the middle of one Q and

0:28:50.280 --> 0:28:53.760
<v Speaker 6>in the context of the money flowing into companies in

0:28:54.040 --> 0:28:56.760
<v Speaker 6>the crypto industry, broadly. We found we focused so much

0:28:56.840 --> 0:29:00.360
<v Speaker 6>on how tough it was last year. You see any

0:29:00.360 --> 0:29:04.400
<v Speaker 6>green shoots in one queue about the kind of trajectory

0:29:04.800 --> 0:29:07.360
<v Speaker 6>for at least DC backing of cryptos startups.

0:29:07.760 --> 0:29:10.320
<v Speaker 2>Yeah, definitely. I think the theme that you're gonna see

0:29:11.040 --> 0:29:13.960
<v Speaker 2>in this next cycle is what are the real world

0:29:14.280 --> 0:29:17.840
<v Speaker 2>use cases for crypto? So we're looking we see a

0:29:17.880 --> 0:29:20.000
<v Speaker 2>lot of tokenization. We talked about this in the past,

0:29:20.080 --> 0:29:22.760
<v Speaker 2>you know, that was a huge theme last year. You know,

0:29:22.800 --> 0:29:26.240
<v Speaker 2>we talked about physical infrastructure, so deep in there's another area.

0:29:26.280 --> 0:29:28.560
<v Speaker 2>We've seen a lot of investments, especially now with AI

0:29:28.640 --> 0:29:33.080
<v Speaker 2>training using compute power to do that. We saw tomorrow

0:29:33.480 --> 0:29:36.600
<v Speaker 2>or together AI. They raise this huge round one hundred

0:29:36.600 --> 0:29:41.040
<v Speaker 2>million dollars plus round last quarter and also incentivized marketplaces,

0:29:41.080 --> 0:29:43.640
<v Speaker 2>so marketplaces that uses tokens to you know, like a

0:29:43.680 --> 0:29:47.560
<v Speaker 2>brain trust to let users come on and have tokens

0:29:47.560 --> 0:29:50.440
<v Speaker 2>to facilitate the way that they transact online. So you're

0:29:50.440 --> 0:29:52.280
<v Speaker 2>gonna start seeing a lot of that. We're very seeing

0:29:52.280 --> 0:29:54.440
<v Speaker 2>a lot of investments in that, and that's what investors

0:29:54.480 --> 0:29:56.960
<v Speaker 2>to focus on. The things have fundamental business models that

0:29:57.080 --> 0:29:59.960
<v Speaker 2>are more durable, and then they have a path to scale.

0:29:59.760 --> 0:30:03.280
<v Speaker 6>Tho, all right, pitch book cryptoanalyst Robert Lay. Great to

0:30:03.280 --> 0:30:04.600
<v Speaker 6>have you on the program.

0:30:04.600 --> 0:30:04.920
<v Speaker 5>Thank you know.

0:30:04.960 --> 0:30:07.120
<v Speaker 6>Coming up here on Bloomberg Technology, we're going to discuss

0:30:07.360 --> 0:30:11.840
<v Speaker 6>how one SaaS platform is helping hourly employees access their

0:30:11.920 --> 0:30:17.040
<v Speaker 6>childcare subsidies. Merzer co founder and CEO Currendzau joins us.

0:30:17.320 --> 0:30:38.800
<v Speaker 5>Next. This is Bloomberg Technology.

0:30:34.480 --> 0:30:38.120
<v Speaker 4>Tackling the maze that is government childcare subsidies that is

0:30:38.400 --> 0:30:40.760
<v Speaker 4>now with the help of a SaaS platform.

0:30:41.400 --> 0:30:42.840
<v Speaker 7>Merser is promising to do.

0:30:42.920 --> 0:30:45.560
<v Speaker 4>That, having just closed a three point three million dollar round.

0:30:45.600 --> 0:30:49.200
<v Speaker 4>Mrza co founder CEO Saransau joins us for more and

0:30:49.560 --> 0:30:53.320
<v Speaker 4>Zeran just go through how hard ultimately the problem is

0:30:53.600 --> 0:30:55.640
<v Speaker 4>and how a SaaS platform is the best way to

0:30:55.680 --> 0:30:56.080
<v Speaker 4>fix it.

0:30:56.560 --> 0:31:00.240
<v Speaker 1>Yeah, so let's start with how childcare and work so

0:31:00.280 --> 0:31:04.600
<v Speaker 1>deeply intertwined. So the top reason parents quit their jobs

0:31:04.680 --> 0:31:08.120
<v Speaker 1>or cut back on hours is childcare. Forty percent of

0:31:08.200 --> 0:31:09.360
<v Speaker 1>parents are in.

0:31:09.240 --> 0:31:10.600
<v Speaker 7>Debt over childcare.

0:31:11.280 --> 0:31:13.720
<v Speaker 1>So when we zoom out to that tangled web that

0:31:13.760 --> 0:31:17.760
<v Speaker 1>you're referencing, we're talking about billions of dollars allocated each

0:31:17.880 --> 0:31:21.280
<v Speaker 1>year to help low income families access the childcare they

0:31:21.320 --> 0:31:24.360
<v Speaker 1>need to work, and yet only about twenty percent of

0:31:24.360 --> 0:31:26.400
<v Speaker 1>those families are getting those dollars.

0:31:27.240 --> 0:31:28.920
<v Speaker 7>So what's happening here.

0:31:29.240 --> 0:31:34.040
<v Speaker 1>It's really varied and fragmented across the country. So for example,

0:31:34.320 --> 0:31:37.920
<v Speaker 1>a family of four here in New York making sixty

0:31:37.920 --> 0:31:41.720
<v Speaker 1>five k yere would have access to government subsidy. That

0:31:41.840 --> 0:31:46.120
<v Speaker 1>same family in Pennsylvania would not. The family here in

0:31:46.120 --> 0:31:49.320
<v Speaker 1>New York can use those subsidies to pay grandma, so

0:31:49.360 --> 0:31:51.880
<v Speaker 1>if you work the night shift, that's pretty critical.

0:31:52.360 --> 0:31:56.440
<v Speaker 7>But then that same family in Ohio wouldn't be able to.

0:31:57.240 --> 0:32:01.400
<v Speaker 1>So when it comes to a nationwide employer trying to

0:32:01.440 --> 0:32:04.680
<v Speaker 1>solve this for their employees, it is such a tangled web.

0:32:04.720 --> 0:32:05.960
<v Speaker 1>It's really hard.

0:32:06.200 --> 0:32:07.440
<v Speaker 7>That's where SaaS comes in.

0:32:07.520 --> 0:32:09.640
<v Speaker 4>Okay, so tell us a little bit about who is

0:32:09.760 --> 0:32:11.720
<v Speaker 4>using this platform already that you built.

0:32:11.920 --> 0:32:14.680
<v Speaker 1>Yeah, so we're really excited to be working with a

0:32:14.720 --> 0:32:20.680
<v Speaker 1>global food service company supporting their hourly workers. And this means,

0:32:20.760 --> 0:32:24.080
<v Speaker 1>you know, the impact is pretty huge. For a worker

0:32:24.120 --> 0:32:27.440
<v Speaker 1>who makes thirty five k a year on average, that

0:32:27.600 --> 0:32:32.000
<v Speaker 1>extra ten thousand dollars or so in government childcare subsidy

0:32:32.240 --> 0:32:33.960
<v Speaker 1>is life changing.

0:32:36.280 --> 0:32:41.400
<v Speaker 6>Saren, getting publicly available funds is so difficult in so

0:32:41.640 --> 0:32:45.720
<v Speaker 6>many different industries. You know there are specialist VC firms

0:32:46.000 --> 0:32:48.360
<v Speaker 6>that only back companies like yours that do this.

0:32:48.840 --> 0:32:50.480
<v Speaker 5>How does the technology work?

0:32:50.480 --> 0:32:54.080
<v Speaker 6>How is your SaaS platform able to expedite something that

0:32:54.160 --> 0:32:56.560
<v Speaker 6>everyone knows moves painfully slowly.

0:32:57.240 --> 0:32:57.640
<v Speaker 5>Yeah.

0:32:58.040 --> 0:33:03.360
<v Speaker 1>So at the core for families, we make it beautifully simple,

0:33:03.520 --> 0:33:07.080
<v Speaker 1>brutally simple. We take a few easy pieces of information

0:33:07.600 --> 0:33:10.520
<v Speaker 1>like how many kids you have and how old they are,

0:33:11.200 --> 0:33:14.239
<v Speaker 1>what's the number of folks in your household, what's your

0:33:14.280 --> 0:33:17.840
<v Speaker 1>household income? And then based on where they live pinpoint

0:33:18.120 --> 0:33:23.480
<v Speaker 1>very specifically, what the eligible what the programs they're eligible for,

0:33:23.960 --> 0:33:27.320
<v Speaker 1>and then we, through the beauty of SaaS, make it

0:33:27.360 --> 0:33:31.120
<v Speaker 1>as easy as possible to apply our dream. And what

0:33:31.160 --> 0:33:34.320
<v Speaker 1>we're doing is one click. It's just like checking out.

0:33:34.200 --> 0:33:37.240
<v Speaker 4>Online, and you've got the backing to prove it. Thus far,

0:33:37.320 --> 0:33:39.760
<v Speaker 4>with that three point three million coming from the likes

0:33:39.760 --> 0:33:42.680
<v Speaker 4>of Firework Ventures as well as Portage, we thank you

0:33:42.720 --> 0:33:45.560
<v Speaker 4>for the time, mez A, co founder CEO si Ran.

0:33:45.760 --> 0:33:48.560
<v Speaker 4>So meanwhile, look, let's just stick with technology's impact on

0:33:48.600 --> 0:33:50.080
<v Speaker 4>families this time though.

0:33:50.200 --> 0:33:51.640
<v Speaker 7>Kids and smartphones.

0:33:51.920 --> 0:33:54.760
<v Speaker 4>What started is a WhatsApp group for local parents who

0:33:54.880 --> 0:33:57.680
<v Speaker 4>wanted to hold off on buying their kids smartphones. It's

0:33:57.760 --> 0:34:00.480
<v Speaker 4>quickly turned into a national movement in the United Kingdom,

0:34:00.520 --> 0:34:03.280
<v Speaker 4>amassing thousands and thousands of like minded parents, launching more

0:34:03.320 --> 0:34:06.480
<v Speaker 4>than fifty regional groups across Britain. Johnny us Now is

0:34:06.480 --> 0:34:09.719
<v Speaker 4>one of the founders on Smartphone Free Childhood, as it's

0:34:09.760 --> 0:34:14.920
<v Speaker 4>called Claire Fanhalf and Claire, I'm really interested in ultimately

0:34:15.440 --> 0:34:16.560
<v Speaker 4>your driver here.

0:34:16.719 --> 0:34:17.279
<v Speaker 7>You must have.

0:34:17.320 --> 0:34:19.680
<v Speaker 4>Kids of a certain age that are demanding smartphones, and

0:34:19.680 --> 0:34:21.279
<v Speaker 4>you're trying to find a way of navigating that.

0:34:22.840 --> 0:34:25.400
<v Speaker 14>Exactly. I've got seven and a nine year old, and

0:34:25.440 --> 0:34:29.200
<v Speaker 14>I was sort of becoming increasingly horrified about the fact

0:34:29.239 --> 0:34:31.640
<v Speaker 14>that actually, in a couple of years, the normal is

0:34:31.680 --> 0:34:34.399
<v Speaker 14>that my child, my daughter, will get a smartphone. And

0:34:34.560 --> 0:34:36.600
<v Speaker 14>I just felt like, this is all the evidence is

0:34:36.640 --> 0:34:38.480
<v Speaker 14>telling me this is not going to be good for her.

0:34:39.040 --> 0:34:41.120
<v Speaker 14>But equally, all the evidence is telling me that actually

0:34:41.160 --> 0:34:43.600
<v Speaker 14>this is what everyone does. And I felt like this

0:34:43.800 --> 0:34:46.839
<v Speaker 14>was just not something I wanted to do. And so yeah,

0:34:46.880 --> 0:34:48.640
<v Speaker 14>I set up a group just over a week ago.

0:34:48.719 --> 0:34:50.719
<v Speaker 14>There were two of us, and we thought we'd just

0:34:50.800 --> 0:34:52.279
<v Speaker 14>it would just be us, that we would, you know,

0:34:52.360 --> 0:34:55.080
<v Speaker 14>kind of share some tips and resources and get some

0:34:55.120 --> 0:34:58.280
<v Speaker 14>solidarity made with a small group and as you said,

0:34:58.360 --> 0:35:02.160
<v Speaker 14>it's gone completely viral and thousands of people joined overnight,

0:35:02.840 --> 0:35:05.080
<v Speaker 14>and we've realized that actually we're not alone in feeling

0:35:05.120 --> 0:35:08.120
<v Speaker 14>like this, and actually a lot of people are clearly

0:35:08.280 --> 0:35:10.560
<v Speaker 14>really really worried about this too and really want to

0:35:10.560 --> 0:35:11.400
<v Speaker 14>talk about it together.

0:35:11.760 --> 0:35:14.000
<v Speaker 4>I mean, your my leading stat is almost one hundred

0:35:14.000 --> 0:35:16.640
<v Speaker 4>percent of twelve year olds have a smartphone, and I

0:35:16.760 --> 0:35:20.279
<v Speaker 4>wonder what ultimately you think you can achieve through this. Interestingly,

0:35:20.320 --> 0:35:23.080
<v Speaker 4>you're using technology to kind of try and fend off

0:35:23.120 --> 0:35:26.560
<v Speaker 4>technological use by your children. But what do you say

0:35:26.600 --> 0:35:28.640
<v Speaker 4>to the investors that listen to this show, well, those

0:35:28.640 --> 0:35:31.279
<v Speaker 4>that are backing Apple to keep on selling smartphones or

0:35:31.280 --> 0:35:34.080
<v Speaker 4>social media to keep on targeting all age rangers.

0:35:36.040 --> 0:35:38.239
<v Speaker 14>I think what I would say is that actually it's

0:35:38.280 --> 0:35:41.000
<v Speaker 14>absolutely fine for children to have a phone, but investment

0:35:41.120 --> 0:35:43.480
<v Speaker 14>needs to be put into what we would call a

0:35:43.480 --> 0:35:47.160
<v Speaker 14>brick phone or a dumb phone for children. Smartphones are

0:35:47.200 --> 0:35:49.520
<v Speaker 14>not good for them. We know now we have enough

0:35:49.640 --> 0:35:52.360
<v Speaker 14>data because the people who've got smartphones as children and

0:35:52.400 --> 0:35:54.640
<v Speaker 14>are adults, and we know that the younger a child

0:35:54.680 --> 0:35:57.640
<v Speaker 14>gets a smartphone, the worst their mental health is very

0:35:57.640 --> 0:35:59.960
<v Speaker 14>clear and the evidence so I think the investment need

0:36:00.160 --> 0:36:04.160
<v Speaker 14>to switch into giving it really cool brick phones for

0:36:04.280 --> 0:36:07.200
<v Speaker 14>children that they can text and call on. But they

0:36:07.239 --> 0:36:09.520
<v Speaker 14>don't need to do any more than that. In our

0:36:09.719 --> 0:36:11.960
<v Speaker 14>from my perspective, the only reason a child leads are

0:36:11.960 --> 0:36:14.600
<v Speaker 14>smartphones because everyone else has got one, and that is

0:36:14.640 --> 0:36:16.280
<v Speaker 14>the norm that we are trying to change.

0:36:17.719 --> 0:36:21.279
<v Speaker 6>Claire, I am not a parent yet, but I was

0:36:21.360 --> 0:36:25.040
<v Speaker 6>once a child, believe it or not. What I'm struggling

0:36:25.120 --> 0:36:27.799
<v Speaker 6>here with is what is the principal concern. Is it

0:36:27.880 --> 0:36:31.200
<v Speaker 6>the hours of usage or is it the risk that

0:36:31.640 --> 0:36:35.960
<v Speaker 6>parents feel their children are exposed to because simply a

0:36:36.040 --> 0:36:37.960
<v Speaker 6>smartphone gives access to the internet.

0:36:39.719 --> 0:36:43.200
<v Speaker 14>So I think there are three main risks here. Number

0:36:43.239 --> 0:36:46.680
<v Speaker 14>one is the impact it has on mental health. You know,

0:36:46.760 --> 0:36:49.680
<v Speaker 14>it triggers anxiety, you know using smartphones, we know it

0:36:49.719 --> 0:36:53.840
<v Speaker 14>has a range of impacts on well being. It's also

0:36:53.920 --> 0:36:56.359
<v Speaker 14>about what we would call the opportunity cost. So it's

0:36:56.400 --> 0:36:57.680
<v Speaker 14>the things that children.

0:36:57.360 --> 0:36:58.040
<v Speaker 9>Are not doing.

0:36:58.560 --> 0:37:01.160
<v Speaker 14>So in recent years we've switched from a play based

0:37:01.239 --> 0:37:04.319
<v Speaker 14>childhood to a screen based childhood, and we know that

0:37:04.400 --> 0:37:06.440
<v Speaker 14>all children, of course, if they have the choice between

0:37:06.440 --> 0:37:08.960
<v Speaker 14>playing outside the screen, they go for the screen. So

0:37:09.000 --> 0:37:11.600
<v Speaker 14>it's the things that they're not doing, which is really

0:37:11.640 --> 0:37:15.160
<v Speaker 14>really worrying. And it's also the huge amount of content

0:37:15.200 --> 0:37:17.000
<v Speaker 14>that they are opened up to which they are not

0:37:17.200 --> 0:37:20.040
<v Speaker 14>ready for. You know, they are now seeing the most

0:37:20.080 --> 0:37:24.960
<v Speaker 14>shocking things on smartphones, and I think actually parents are

0:37:25.000 --> 0:37:26.840
<v Speaker 14>quite a lot of parents are not aware of what

0:37:26.840 --> 0:37:29.719
<v Speaker 14>their children are looking at and they're seeing images that

0:37:30.160 --> 0:37:30.960
<v Speaker 14>they can't unsee.

0:37:31.040 --> 0:37:35.120
<v Speaker 6>Essentially, Claire, I would note that if it's an iPhone

0:37:35.200 --> 0:37:38.360
<v Speaker 6>or even a Samsung phone, there are very clear parental

0:37:38.400 --> 0:37:41.720
<v Speaker 6>control instructions on the websites of those companies that parents

0:37:41.719 --> 0:37:45.279
<v Speaker 6>can use. I carried a great job of setting out

0:37:45.320 --> 0:37:48.120
<v Speaker 6>the movement. Incredible what you did in a short space

0:37:48.160 --> 0:37:51.120
<v Speaker 6>of time. Has anyone in the UK government or a

0:37:51.160 --> 0:37:55.200
<v Speaker 6>representative from Apple or a representative from Samsung reached out

0:37:55.239 --> 0:37:57.040
<v Speaker 6>with you to try and work with you on this.

0:37:58.400 --> 0:38:00.960
<v Speaker 14>We've had a lot of yeah, a lot of MPs

0:38:01.040 --> 0:38:04.439
<v Speaker 14>coming forward, so politicians from the UK wanting to talk

0:38:04.480 --> 0:38:07.320
<v Speaker 14>to us about it. We haven't had any tech companies

0:38:07.360 --> 0:38:09.839
<v Speaker 14>get in touch yet. But what we want to do

0:38:10.080 --> 0:38:11.920
<v Speaker 14>is work with the tech companies and say that it's

0:38:11.960 --> 0:38:15.000
<v Speaker 14>actually a great opportunity design a really cool phone that

0:38:15.040 --> 0:38:15.719
<v Speaker 14>every twelve.

0:38:15.560 --> 0:38:16.240
<v Speaker 9>Year old wants.

0:38:16.480 --> 0:38:18.640
<v Speaker 14>It doesn't need to have Internet on it. It can

0:38:18.719 --> 0:38:20.959
<v Speaker 14>just be a cool you know, whatever brand you want.

0:38:21.680 --> 0:38:24.479
<v Speaker 14>But at this moment, no, we haven't had anyone reach out.

0:38:24.719 --> 0:38:27.080
<v Speaker 14>What we're doing is just empowering parents.

0:38:27.320 --> 0:38:27.520
<v Speaker 9>You know.

0:38:27.600 --> 0:38:30.319
<v Speaker 14>We want the change to come from parents themselves, and

0:38:30.360 --> 0:38:33.680
<v Speaker 14>then we believe that schools, government, tech companies.

0:38:33.280 --> 0:38:36.319
<v Speaker 9>Will all follow if we vote with our feed I.

0:38:36.280 --> 0:38:39.399
<v Speaker 4>Cannot tell you how much of our time has taken

0:38:39.480 --> 0:38:42.480
<v Speaker 4>up discussing among friends about what to do about this

0:38:42.560 --> 0:38:44.560
<v Speaker 4>at the moment and this critical ages of children so

0:38:45.040 --> 0:38:47.160
<v Speaker 4>fascinating to bring it to our attention, maybe we just

0:38:47.280 --> 0:38:50.360
<v Speaker 4>call it brick phone childhood. The co founder A Smartphone

0:38:50.400 --> 0:38:52.920
<v Speaker 4>Free Childhood, we thank you, Claire Fairni.

0:38:52.719 --> 0:39:04.239
<v Speaker 6>Has thirteen F filings revealed that Hedge Funds brought into

0:39:04.239 --> 0:39:06.680
<v Speaker 6>some of the biggest tech names in the fourth quarter

0:39:06.800 --> 0:39:09.640
<v Speaker 6>to chase what has been a scorching rally fueled by

0:39:09.680 --> 0:39:12.080
<v Speaker 6>growth in AI. Let's go out to Bloomberg's Hemma Palma

0:39:12.480 --> 0:39:14.960
<v Speaker 6>in New York. You look across the headlines and the data,

0:39:15.080 --> 0:39:17.960
<v Speaker 6>which tech names were hot and which tech names were not.

0:39:18.400 --> 0:39:22.839
<v Speaker 15>Yes, so tap tech names, Amazon, Navidia, Intel, These were

0:39:22.960 --> 0:39:24.960
<v Speaker 15>some of the most popular buys that we saw in

0:39:25.000 --> 0:39:28.400
<v Speaker 15>the last quarter of last year, Nearly fifteen million shares

0:39:28.800 --> 0:39:30.759
<v Speaker 15>of Amazon was bought in the last quarter. On the

0:39:30.760 --> 0:39:33.960
<v Speaker 15>flip side, Meta one of the least popular stocks. A

0:39:34.000 --> 0:39:36.399
<v Speaker 15>lot more selling on that, but that made me more

0:39:36.440 --> 0:39:40.560
<v Speaker 15>because of portfolio management, people wanting to reduce their position

0:39:40.880 --> 0:39:43.759
<v Speaker 15>if the stock did really well, or taking profits, so

0:39:43.800 --> 0:39:46.840
<v Speaker 15>it may not necessarily be a bullish bet. Nike and

0:39:46.880 --> 0:39:49.920
<v Speaker 15>Pfizer also popular cells.

0:39:49.960 --> 0:39:53.560
<v Speaker 4>Interestingly, we have seen some other cells and some big

0:39:53.600 --> 0:39:55.279
<v Speaker 4>share reaction on the back of it. I think what

0:39:55.480 --> 0:39:57.000
<v Speaker 4>Berkshire Hathaway is selling.

0:39:56.760 --> 0:39:58.120
<v Speaker 7>Down on paramount?

0:39:58.200 --> 0:40:02.520
<v Speaker 4>More broadly, where is sort of the force of direction

0:40:02.640 --> 0:40:04.560
<v Speaker 4>going more across all of the board here?

0:40:04.600 --> 0:40:06.640
<v Speaker 7>Is there any theme that we can see?

0:40:06.800 --> 0:40:09.200
<v Speaker 15>Yeah, I mean I think generally you're seeing a pushing

0:40:09.200 --> 0:40:12.480
<v Speaker 15>into the market again, more interest in some of the

0:40:12.520 --> 0:40:14.800
<v Speaker 15>big tech stocks. A lot of these are household names

0:40:14.800 --> 0:40:16.239
<v Speaker 15>that we all sort of know and we talk about

0:40:16.239 --> 0:40:19.520
<v Speaker 15>a lot in the show. But you're seeing, you know,

0:40:19.520 --> 0:40:21.759
<v Speaker 15>if we look at CO two, for example, there was

0:40:21.800 --> 0:40:24.800
<v Speaker 15>a decent amount of rotation their portfolio. They took twenty

0:40:24.880 --> 0:40:28.759
<v Speaker 15>nine new positions, they sold fifteen Salesforce was one of

0:40:28.800 --> 0:40:31.759
<v Speaker 15>their bigger buys. It's now their eleventh biggest holding worth

0:40:31.800 --> 0:40:34.799
<v Speaker 15>about five hundred million dollars, so that's pretty sizable. They

0:40:34.800 --> 0:40:37.680
<v Speaker 15>took a new steak in Apple. On the flip side,

0:40:37.680 --> 0:40:39.880
<v Speaker 15>if we look at Tiger Global, there really wasn't a

0:40:39.920 --> 0:40:42.160
<v Speaker 15>whole lot of activity, so you do see a disparity

0:40:42.200 --> 0:40:45.440
<v Speaker 15>between different firms and how they examined the space. They

0:40:45.440 --> 0:40:47.520
<v Speaker 15>only bought two new stocks they sold out of eleven.

0:40:47.560 --> 0:40:50.760
<v Speaker 15>The ones they did buy were relatively small, small stakes,

0:40:50.800 --> 0:40:52.200
<v Speaker 15>so you do see some dispersion too.

0:40:53.040 --> 0:40:54.880
<v Speaker 5>A real quick kenna. What's going on with Viking?

0:40:55.239 --> 0:40:57.319
<v Speaker 15>Yeah, so Viking they do some tech stocks, but they've

0:40:57.320 --> 0:40:59.759
<v Speaker 15>also done something really interesting. They got out of their

0:40:59.760 --> 0:41:02.880
<v Speaker 15>metal position entirely. That was a stake where about a

0:41:02.920 --> 0:41:05.719
<v Speaker 15>billion dollars, so it's a pretty sizable move there. They

0:41:05.800 --> 0:41:08.240
<v Speaker 15>ramped up their position a Progressive, which is an insurance

0:41:08.239 --> 0:41:10.640
<v Speaker 15>company so they do non tech stuff too, and they

0:41:10.760 --> 0:41:13.960
<v Speaker 15>ramp that up by about fivefold, so another significant uptick there.

0:41:14.800 --> 0:41:15.759
<v Speaker 7>Absolutely fascinating.

0:41:15.880 --> 0:41:17.520
<v Speaker 4>We love how you managed to break it all down

0:41:17.520 --> 0:41:19.160
<v Speaker 4>for us and look at the valley that met has had.

0:41:19.160 --> 0:41:21.680
<v Speaker 4>As you're saying, maybe some needed to rebalance their portfolio.

0:41:21.760 --> 0:41:22.320
<v Speaker 7>Hema, Palma.

0:41:22.560 --> 0:41:24.080
<v Speaker 4>Always great to have some time with you on these

0:41:24.120 --> 0:41:24.640
<v Speaker 4>thirteen f's.

0:41:24.719 --> 0:41:24.759
<v Speaker 5>Ed.

0:41:24.880 --> 0:41:27.239
<v Speaker 4>What's interesting is in Video was not only bought, but

0:41:27.280 --> 0:41:29.359
<v Speaker 4>it's also having to file its own thirteen f's. It's

0:41:29.360 --> 0:41:33.080
<v Speaker 4>actually a buyer of companies SoundHound IAI actulutely spiraling because

0:41:33.080 --> 0:41:33.359
<v Speaker 4>of it.

0:41:33.960 --> 0:41:36.520
<v Speaker 6>And he's putting billions of dollars in the private markets

0:41:36.560 --> 0:41:38.960
<v Speaker 6>as well. It's been very active in recent quarters.

0:41:39.400 --> 0:41:41.600
<v Speaker 7>Meanwhile, that is it for this edition of Bloomberg.

0:41:41.160 --> 0:41:45.279
<v Speaker 6>Technology Recap on the pod wherever you get your podcasts.

0:41:45.280 --> 0:41:49.440
<v Speaker 5>We are everywhere. This is Blomberg Technology