WEBVTT - Tech Stocks Drop, Hot Job Market

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<v Speaker 1>Imed Ludlow in San Francisco. Caroline Hyde off today this

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<v Speaker 1>is Bloomberg Technology and coming up. Tech stocks drop as

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<v Speaker 1>a hot jobs report, adds pressure on the FED to

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<v Speaker 1>keep raising rates. Plus warnings from Amazon and Alphabet way

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<v Speaker 1>on shares as big tech gets hit by the slowdown.

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<v Speaker 1>Even so, then has that one rises for a fifth

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<v Speaker 1>straight week as Apple gains and the cyber tag which

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<v Speaker 1>sent derivative trading back to the nies. We've got the

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<v Speaker 1>Bloomberg scoop on how vulnerability at a little known software

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<v Speaker 1>firm lead to Sunbroker's going manual. But first we've got

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<v Speaker 1>to talk about these markets are really hot jobs print

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<v Speaker 1>for the month of January, putting pressure on the FED

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<v Speaker 1>to look at raising rates. That's the market take on

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<v Speaker 1>all of this, and then we digest starnings and that's

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<v Speaker 1>that one hundred down one point eight percent, although as

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<v Speaker 1>we said, it ended the week up on the week,

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<v Speaker 1>meaning five straight consecutive weeks of games. The Philadelphia Sundy

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<v Speaker 1>Conductor Index also kind of in line with that, down

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<v Speaker 1>one point nine percent. Is yields continue to push higher.

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<v Speaker 1>Bitcoin essentially did nothing in reaction to what we saw

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<v Speaker 1>from the data. It kind of traded sideways around twenty

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<v Speaker 1>three thousand, five hundred dollars per token. There's still momentum

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<v Speaker 1>in the earning story in both directions. Switched up the

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<v Speaker 1>board to look at the names that we're thinking about,

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<v Speaker 1>particularly Apple. It was so interesting because the post market

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<v Speaker 1>reaction Thursday to Apple's miss was negative, and yet we're

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<v Speaker 1>up two point five percent. There was some optimism around

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<v Speaker 1>what Tim Cook had to say on reopening in China.

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<v Speaker 1>Not so for Alphabet, the parent of Google or Amazon.

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<v Speaker 1>Those shares really dropping and then accelerating their declines following

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<v Speaker 1>that hot job sprints. Of course, their earnings were not

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<v Speaker 1>impressive to investors, worrying sounds about the trajectory three, which

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<v Speaker 1>will get into. And then Meta actually had been high,

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<v Speaker 1>continuing its momentum from its earnings that beat earlier in

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<v Speaker 1>the week. But then we had that jobs print as well,

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<v Speaker 1>and that's where we got to go because the focus

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<v Speaker 1>on data is back, the focus is on the FED

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<v Speaker 1>is back. To Boomberg's repick, it joins me from Mount

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<v Speaker 1>in d C. Read hit me with the numbers that

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<v Speaker 1>we got from the eco sphere on Friday. Well, first

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<v Speaker 1>of all, I'm always here to report good economic news.

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<v Speaker 1>So that's that's a great way to end of Friday. UM.

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<v Speaker 1>But what we saw was we saw that employers added

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<v Speaker 1>about a half a million jobs in January, which blew

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<v Speaker 1>past estimates. And it was this really broad based game

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<v Speaker 1>that really kind of showed this this restrengthening in the

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<v Speaker 1>labor market when we didn't really know it could get

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<v Speaker 1>any stronger. So you saw the unemployment rate fall to

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<v Speaker 1>three point four percent, which is a fifty three year low. UM.

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<v Speaker 1>We saw this broad based hiring. We saw the average

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<v Speaker 1>work week tick up, showing that there's still kind of

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<v Speaker 1>that robust labor demand. And we saw wages, while decelerating

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<v Speaker 1>from the prior month, we saw them still continue to

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<v Speaker 1>climb at a robust rate. Read. You're the only person

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<v Speaker 1>that I know that can go through all of that

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<v Speaker 1>was such beaming joy on a Friday after what has

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<v Speaker 1>been a busy day in markets, volatility driven by the numbers. Here,

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<v Speaker 1>I am broken and exhausted. You just keep going, fine,

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<v Speaker 1>let's go with it. I think that the narrative is

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<v Speaker 1>I framed it. We go back towards the FED right.

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<v Speaker 1>Good economic data, bad news for markets, and that's because

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<v Speaker 1>of what we think the FED will now have to

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<v Speaker 1>reconsider what is the market saying about the Federal Reserve

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<v Speaker 1>in response to the numbers that we have on the screen.

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<v Speaker 1>So especially whenever you get a number like today in

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<v Speaker 1>the week of other strong data that we've seen, Um,

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<v Speaker 1>you saw job openings rally back above eleven million. You've

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<v Speaker 1>seen jobless claims, so applications for unemployment you've seen them fall.

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<v Speaker 1>And the last four out of the last five weeks,

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<v Speaker 1>UM you've seen kind of susteemed strength and the consumer UM,

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<v Speaker 1>it really makes the a the Fed's job more difficult.

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<v Speaker 1>And you know, some of my colleagues had a great

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<v Speaker 1>story out today about how when you see jobs numbers

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<v Speaker 1>like today's, it you know, really strengthens the Fed's resolve

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<v Speaker 1>to you know, push rates above five percent. Alright, bloom

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<v Speaker 1>Bloomgog's re pick. It just fantastic rapporting on that ECO data.

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<v Speaker 1>That's Friday. I want to hone in on the tech

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<v Speaker 1>sector and put it in the context of job cuts,

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<v Speaker 1>all of those that we've seen, particularly in two Boomberg's

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<v Speaker 1>m Live team has been asking if these cuts have

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<v Speaker 1>been too large, too small, or even too premature. Here's

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<v Speaker 1>what some of Bloomberg Television's guests have had to say

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<v Speaker 1>about that question. Even after all of the recent layoffs

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<v Speaker 1>that you've seen for many of the large tech companies,

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<v Speaker 1>we still see tech, as you know, relatively bloated in

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<v Speaker 1>terms of if you look at how much it's you know,

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<v Speaker 1>employment counts have grown relative to its real sales growth

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<v Speaker 1>over the past several years. Even after you adjust for

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<v Speaker 1>the recent layoffs. For every big tech company that's having layoffs,

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<v Speaker 1>there are many small organizations who are eager to gobble

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<v Speaker 1>those employees up. So I wouldn't say that there's a

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<v Speaker 1>dearth right now. What we're seeing, however, is CEO is

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<v Speaker 1>taking advantage of fear in the headlines. So I think

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<v Speaker 1>that these layoffs put these companies in a position where

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<v Speaker 1>it's more difficult for them to show better than expected

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<v Speaker 1>sales and profits, because if they had better than expected

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<v Speaker 1>sales and profits, why are they cutting head council significantly.

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<v Speaker 1>You're at the place where layoffs are the most likely

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<v Speaker 1>catalyst to give FED confidence inflation. We'll get back to

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<v Speaker 1>two percent, so I expect sort of towards q t

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<v Speaker 1>Q three you'll see the margin improvements and bottom line

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<v Speaker 1>improvements on earnings that resolve from the layoffs and then

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<v Speaker 1>the cost cutting. But we're not going to see it

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<v Speaker 1>just yet, so I think it'll trickle in and then

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<v Speaker 1>in the coming months. So you've had the ECO data,

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<v Speaker 1>you've had the earnings. Let's get to the macro and

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<v Speaker 1>the earning season at large with Alex tap Scott, Managing

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<v Speaker 1>director over at nine point Partners, the Digital Asset Group

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<v Speaker 1>over six billion dollars US and assets under management or

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<v Speaker 1>eight billion Canadian dollars and Alex, it's quite the week

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<v Speaker 1>to digest. I'm grateful to have you with me. I

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<v Speaker 1>guess let's start on the jobs data, really hot print

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<v Speaker 1>here in the US for January. You know the logic here,

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<v Speaker 1>I guess from the market's reaction is the FED will

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<v Speaker 1>have to rethink about the timing of a policy pivot

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<v Speaker 1>and then in the context of higher rates, discounting present value,

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<v Speaker 1>future profits, tech, etcetera. Is this a think again moment

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<v Speaker 1>or is this just a blip? Well, I guess we're

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<v Speaker 1>back in the zone where good news is bad news. UM.

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<v Speaker 1>I think that the market reaction was pretty predictable given

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<v Speaker 1>the much harder than expected non farm perils. But as

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<v Speaker 1>you pointed out in your opening segment. You know, the

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<v Speaker 1>market has been up five weeks in a row, and

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<v Speaker 1>the NASDACK, which is obviously highly sensitive to interest rates,

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<v Speaker 1>UM is set to close up or I said, I

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<v Speaker 1>should say recently just closed up over three percent for

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<v Speaker 1>the week. So I think we probably do for a

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<v Speaker 1>pullback after a pretty blistering hot period. And as I

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<v Speaker 1>see it, I don't think the number today UM, as

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<v Speaker 1>one isolated data point is enough to derail this risk

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<v Speaker 1>on trade that we've seen to pick up the last

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<v Speaker 1>a while. So you yourself personally do hold Apple, Amazon, Alphabet,

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<v Speaker 1>the parent company of Google. I think you also hold

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<v Speaker 1>Microsoft as well. Is we reflect on the week of earnings,

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<v Speaker 1>you know, one of the takeaways that that other guests

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<v Speaker 1>have said is that essentially this is definitive proof megacat

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<v Speaker 1>tech is not immune to what we see in the

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<v Speaker 1>global economy. Was that your takeaway as well? Well? I don't.

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<v Speaker 1>I think that's been obvious for the past few months.

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<v Speaker 1>You know, I think going into two thousand and twenty three,

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<v Speaker 1>investors had really been pricing in the worst case scenario.

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<v Speaker 1>For the start of this year. I think expectations were

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<v Speaker 1>that inflation was going to keep running hot, and that

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<v Speaker 1>was going to force the FED and other central banks

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<v Speaker 1>to continue to jack up braids, and that we were

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<v Speaker 1>going to be doing at some point for you know,

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<v Speaker 1>some kind of economic um slow down, maybe even a

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<v Speaker 1>major recession. So far, the data has not borne that out. Now.

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<v Speaker 1>I wouldn't say that we're out of the woods yet,

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<v Speaker 1>but I think that the worst case scenario is really

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<v Speaker 1>no longer the base case. And I think a soft

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<v Speaker 1>landing went from something that was kind of a pipe

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<v Speaker 1>dream for a lot of balls to something that's increasingly

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<v Speaker 1>being priced into the market, and when that happens, I

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<v Speaker 1>think that that's obviously going to cycle capital back into stocks.

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<v Speaker 1>I think a lot of managers started the year very

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<v Speaker 1>underweight um, looking to wait and see how the FED reacted,

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<v Speaker 1>and you get this foe mode getting the year as

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<v Speaker 1>simple as it might sound, where they have to play

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<v Speaker 1>catch up to make sure they don't miss their benchmarks.

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<v Speaker 1>And I think we're starting to see that trade playing

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<v Speaker 1>it too right. There's this idea of tough comps right

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<v Speaker 1>or unfair comparisons between Q four two and Q four

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<v Speaker 1>twenty one. Apple was a good example of that in

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<v Speaker 1>their commentary around the difficulties they had in the last

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<v Speaker 1>three months two, but also the idea that it wasn't

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<v Speaker 1>fair to compare with the year the period a year

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<v Speaker 1>ago because of the different product release timings. You know,

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<v Speaker 1>how good was Q four twenty one compared to what

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<v Speaker 1>we saw in the most recent earnings period. Well, as

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<v Speaker 1>you pointed out, every company is different, and an Apple's case,

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<v Speaker 1>you know, the product cycle can weigh on earnings and

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<v Speaker 1>on revenue. But I think in general Q four two

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<v Speaker 1>thousand twenty one, so a little over a year ago

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<v Speaker 1>was kind of like the Goldilocks zone. You know, we

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<v Speaker 1>had all this deferred consumer spending because people have been

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<v Speaker 1>walked up during covid um. You had an economy that

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<v Speaker 1>was still growing in a very fast flip, and the

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<v Speaker 1>inflation concerns weren't quite as you know acute, I guess

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<v Speaker 1>as they are today. And so you saw that transferred

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<v Speaker 1>into consumer spending, you know, business spending on advertising, spending

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<v Speaker 1>on cloud and so forth. That translates into the earnings

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<v Speaker 1>for these companies. So I would say that looking at

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<v Speaker 1>you know, most investors were looking at this earnings prints

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<v Speaker 1>from these different companies hoping to avoid the worst and

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<v Speaker 1>to be clear, like tech earnings were mediocre, and I

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<v Speaker 1>would say kind of a mixed bag. You know, Facebook

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<v Speaker 1>beat on earnings and revenue but had exceptionally low expectations.

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<v Speaker 1>Apples you put it up mixed, mixed on both. But ultimately,

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<v Speaker 1>you know, A, we're comparing it to a period that

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<v Speaker 1>was you know, if not an lt lier, very difficult

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<v Speaker 1>ump compared to what we saw last year. Uh and B.

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<v Speaker 1>I think that really people are trying to look forward

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<v Speaker 1>um to see what these companies are going to do,

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<v Speaker 1>to try and write the ship and uh, yes, know,

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<v Speaker 1>well how zeroed in? Then is this market on the

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<v Speaker 1>bottom line? When we talk about what we learned from

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<v Speaker 1>earnings about three going forward, the answer seems to be

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<v Speaker 1>not that much other than the zeroed in on cost. Yeah, well,

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<v Speaker 1>in a zero interest rate environment, it's a grow at

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<v Speaker 1>all costs kind of market, right, And that's why you

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<v Speaker 1>saw you know, unprofitable tech companies trading at sky high

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<v Speaker 1>valuations and and that was true also for big cap

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<v Speaker 1>tech companies. And I think we're starting to migrate from

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<v Speaker 1>a top line market to a bottom line market. There's

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<v Speaker 1>an increasing focus on costs, all the inputs that go

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<v Speaker 1>into Uh, you know the financials for these companies, and

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<v Speaker 1>as as you've pointed out, there's been some job cuts

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<v Speaker 1>and some other trimming, and I think if you look

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<v Speaker 1>at the earnings calls for these companies the past week

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<v Speaker 1>and a half or so, that's something that they've really

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<v Speaker 1>drilled down on, and I think investors are pricing that

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<v Speaker 1>and they're thinking, Okay, well, if they can keep cutting

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<v Speaker 1>cost even if revenue is flat, then I'm going to

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<v Speaker 1>see bigger earnings and I want to buy into that trip.

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<v Speaker 1>All right, Alex Taps got managing director over at nine

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<v Speaker 1>Point Partners Digital Asset Groups. So good to have you

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<v Speaker 1>here with us. Tech is really doing quite terribly on

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<v Speaker 1>fundamental so well. Tech companies are ripping on their stock prices.

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<v Speaker 1>They're having an awful earning season. It's a pretty direct

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<v Speaker 1>and our assessment from Credit Swiss is Jonathan Golob on

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<v Speaker 1>how text faring. Let's continue the conversation a mega week

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<v Speaker 1>of megacap tech earnings. Just getting e commerce perspective. Rachel Typograph,

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<v Speaker 1>CEO and founder of mick Mac, a global econ commerce

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<v Speaker 1>enablement and analytics platform for multi channel brand. You heard

0:11:57.200 --> 0:12:00.560
<v Speaker 1>what Jonathan Golob had to say, about how tech he's doing.

0:12:00.920 --> 0:12:05.360
<v Speaker 1>In summary, not very well when you looked across Amazon

0:12:05.440 --> 0:12:08.400
<v Speaker 1>on the e commerce side, and also as it extends

0:12:08.440 --> 0:12:11.000
<v Speaker 1>to what Alphabet had to say about core search. What

0:12:11.080 --> 0:12:14.920
<v Speaker 1>was your takeaway from this week, Rachel, Listen, we all

0:12:15.000 --> 0:12:17.120
<v Speaker 1>knew this was going to be a tough week, but

0:12:17.240 --> 0:12:21.600
<v Speaker 1>we're talking about the three biggest players in advertising. We

0:12:21.679 --> 0:12:25.320
<v Speaker 1>have Google, we have Meta, we have Amazon. They each

0:12:25.360 --> 0:12:29.199
<v Speaker 1>play a fundamental role in the ecosystem, but times start changing.

0:12:29.760 --> 0:12:32.560
<v Speaker 1>With Google, they've had the stronghold in search, but they

0:12:32.600 --> 0:12:35.839
<v Speaker 1>also sit on this amazing asset YouTube, which is an

0:12:35.840 --> 0:12:40.040
<v Speaker 1>incredible place for brand awareness and engagement. You have Meta,

0:12:40.520 --> 0:12:43.960
<v Speaker 1>largest player and Social. They've done a phenomenal job of

0:12:44.000 --> 0:12:48.440
<v Speaker 1>building out full funnel ad solutions across Facebook and Meta.

0:12:49.080 --> 0:12:51.480
<v Speaker 1>And now you have Amazon, the largest player in e

0:12:51.600 --> 0:12:54.280
<v Speaker 1>com which is also another way of saying they're sitting

0:12:54.320 --> 0:12:57.640
<v Speaker 1>on a treasure chest of purchase data waiting to be monetized.

0:12:58.320 --> 0:13:02.480
<v Speaker 1>And what's changed in the no I'm starting instruction, Rachel,

0:13:02.480 --> 0:13:04.000
<v Speaker 1>I want to I want to zero in on that

0:13:04.080 --> 0:13:08.319
<v Speaker 1>because this is what surprised me about this earnings report

0:13:08.400 --> 0:13:13.760
<v Speaker 1>from Amazon. Last quarter, the upside surprise was advertising, and

0:13:13.880 --> 0:13:17.720
<v Speaker 1>this quarter the downside surprise was the AWS didn't come

0:13:17.760 --> 0:13:19.680
<v Speaker 1>in to save the day. But we didn't really even

0:13:19.679 --> 0:13:23.120
<v Speaker 1>talk about advertising, and you're basically saying that this is

0:13:23.800 --> 0:13:30.200
<v Speaker 1>some unlocked still locked up potential to the commerce giant. Absolutely,

0:13:30.559 --> 0:13:34.840
<v Speaker 1>AWS was an amazing way to offset margins. Advertising is

0:13:34.840 --> 0:13:38.160
<v Speaker 1>an amazing way to offset margins in the losses of

0:13:38.200 --> 0:13:43.680
<v Speaker 1>their traditional retail business. So Amazon's ad business grew in

0:13:43.760 --> 0:13:47.960
<v Speaker 1>Q four It was now becoming a very very close

0:13:48.000 --> 0:13:51.480
<v Speaker 1>player behind Meta. And the reason for this is because

0:13:51.480 --> 0:13:55.360
<v Speaker 1>of the headwinds that Google and Meta have experienced changes

0:13:55.400 --> 0:14:00.040
<v Speaker 1>in Apple's iOS fourteen cookie list Internet, they started to

0:14:00.120 --> 0:14:04.480
<v Speaker 1>undo the way that direct response advertising fundamentally worked in

0:14:04.520 --> 0:14:09.880
<v Speaker 1>platter platforms like Meta and Google. As a result, advertisers

0:14:10.440 --> 0:14:12.599
<v Speaker 1>want to be able to demonstrate the r o I

0:14:12.920 --> 0:14:16.520
<v Speaker 1>of their marketing investment, and Amazon is sitting on all

0:14:16.520 --> 0:14:19.120
<v Speaker 1>of this purchase data to be able to demonstrate to

0:14:19.200 --> 0:14:23.560
<v Speaker 1>advertisers direct attribution. And so Amazon is really writing the

0:14:23.560 --> 0:14:28.040
<v Speaker 1>tail winds that are in fact Google and Metas headwards.

0:14:29.800 --> 0:14:33.040
<v Speaker 1>Let's zero and a Meta. That was the surprise of

0:14:33.080 --> 0:14:37.440
<v Speaker 1>the week, probably you know, a the response Metas shares

0:14:37.520 --> 0:14:41.080
<v Speaker 1>jumping by the most in a decade, Thursday. But the

0:14:41.320 --> 0:14:45.560
<v Speaker 1>other data point is Facebook at two billion daily users,

0:14:45.640 --> 0:14:49.240
<v Speaker 1>up seventy million from a year ago. What is Meta

0:14:49.360 --> 0:14:53.880
<v Speaker 1>done to make its platforms interesting again, because presumably the

0:14:53.880 --> 0:14:58.320
<v Speaker 1>market reaction is the investors saying this bodes quite well

0:14:58.360 --> 0:15:02.880
<v Speaker 1>for advertising revenue going forward. It Yeah. So the way

0:15:02.920 --> 0:15:06.280
<v Speaker 1>that people measure the efficacy of their advertising dollars is

0:15:06.280 --> 0:15:10.800
<v Speaker 1>through this mythical model called media mixed modeling, and what

0:15:10.960 --> 0:15:15.120
<v Speaker 1>it requires is that brands need full funnel marketing in

0:15:15.240 --> 0:15:17.880
<v Speaker 1>order for the math equation to work. They need to

0:15:17.920 --> 0:15:21.480
<v Speaker 1>have upper funnel media that's letting people know, hey, I

0:15:21.520 --> 0:15:25.240
<v Speaker 1>exist in the world, mid funnel media that's encouraging them

0:15:25.280 --> 0:15:28.160
<v Speaker 1>to buy, and then bottom of the funnel media that's

0:15:28.520 --> 0:15:31.320
<v Speaker 1>pushing them towards the path to purchase. Bottom of the

0:15:31.320 --> 0:15:35.240
<v Speaker 1>funnel media think Amazon, think Walmart, think Instacart, all of

0:15:35.320 --> 0:15:40.239
<v Speaker 1>retail media. It's typically expensive. Upper funnel media is more affordable.

0:15:41.000 --> 0:15:45.080
<v Speaker 1>Meta remains to to be a really strong platform for

0:15:45.200 --> 0:15:49.080
<v Speaker 1>upper funnel media. Mick mac We work across eight hundreds

0:15:49.080 --> 0:15:53.080
<v Speaker 1>of the biggest brands in the world, and we actually

0:15:53.120 --> 0:15:57.840
<v Speaker 1>saw paid traffic within Meta increase by eight. We saw

0:15:58.000 --> 0:16:01.960
<v Speaker 1>the client in Google by seven and what that demonstrates

0:16:02.040 --> 0:16:06.120
<v Speaker 1>is that advertisers still seeing Meta as an upper funnel channel.

0:16:06.600 --> 0:16:09.360
<v Speaker 1>And what's happening is that people are moving dollars out

0:16:09.360 --> 0:16:14.040
<v Speaker 1>of Google because primarily that's search, into Amazon because Amazon

0:16:14.200 --> 0:16:19.160
<v Speaker 1>is the new search. Hey, Rachel inaggregate, what did we

0:16:19.280 --> 0:16:22.440
<v Speaker 1>learn about the health of the advertising market for social

0:16:22.440 --> 0:16:27.160
<v Speaker 1>media companies this week? We're learning that people are continuing

0:16:27.200 --> 0:16:32.480
<v Speaker 1>to spend. Is it the gold rush of no? But

0:16:32.560 --> 0:16:36.320
<v Speaker 1>are billions of dollars still moving into platforms like Meta

0:16:36.480 --> 0:16:41.760
<v Speaker 1>and Pinterest and TikTok. Absolutely, and TikTok continues to be

0:16:41.800 --> 0:16:46.480
<v Speaker 1>a platform that everyone should be watching. We saw massive

0:16:46.520 --> 0:16:50.680
<v Speaker 1>amounts of dollars again shift away from platforms like YouTube

0:16:50.720 --> 0:16:56.160
<v Speaker 1>into TikTok. In two, Rachel, I finally want to go

0:16:56.200 --> 0:16:59.440
<v Speaker 1>to Twitter. Since Twitter has gone private, there's less fund

0:16:59.520 --> 0:17:02.560
<v Speaker 1>to be had. That's not true at all. You can

0:17:02.600 --> 0:17:04.640
<v Speaker 1>just go to Elon Musk Twitter, which we did today,

0:17:04.640 --> 0:17:08.320
<v Speaker 1>and Elon Musk is talking about sharing revenues from ads

0:17:08.359 --> 0:17:12.000
<v Speaker 1>with the creators. And I'm interesting your take on this

0:17:12.320 --> 0:17:16.280
<v Speaker 1>about Twitter's pivot to a created driven platform. Do you

0:17:16.280 --> 0:17:20.560
<v Speaker 1>think he can do that? Listen, Ellen is trying everything

0:17:20.640 --> 0:17:24.640
<v Speaker 1>right now to keep dollars within the platform. At MICMAC,

0:17:24.720 --> 0:17:30.000
<v Speaker 1>we've essentially seen a hundred decline in paid media traffic

0:17:30.080 --> 0:17:34.560
<v Speaker 1>and Twitter since he took ownership. So with creators, it's

0:17:34.600 --> 0:17:38.600
<v Speaker 1>actually an interesting play YouTube did a very similar move

0:17:38.880 --> 0:17:44.080
<v Speaker 1>where they share the ad revenue with creators. As a result,

0:17:44.480 --> 0:17:49.159
<v Speaker 1>many many influencers have built six figure businesses on YouTube

0:17:49.520 --> 0:17:52.600
<v Speaker 1>and it's encourage them to move away from platforms like

0:17:52.640 --> 0:17:56.200
<v Speaker 1>Instagram into YouTube for content creation. So I do think

0:17:56.200 --> 0:17:59.000
<v Speaker 1>there's an opportunity for Twitter to engage with creators in

0:17:59.040 --> 0:18:02.200
<v Speaker 1>this way. But it's not novel. It's a proven playbook

0:18:02.280 --> 0:18:07.280
<v Speaker 1>that works in environments like YouTube. Alright, Rachel Typograph, founder

0:18:07.320 --> 0:18:09.560
<v Speaker 1>and CEO of MCMAC, thank you so much for joining

0:18:09.680 --> 0:18:14.600
<v Speaker 1>us this Friday. Now, Rivian is developing an electric bike

0:18:15.119 --> 0:18:19.960
<v Speaker 1>that's potentially expanding the ev maker's product lineup. This is

0:18:19.960 --> 0:18:23.240
<v Speaker 1>something I was reporting earlier today for Bloomberg. CEO R J.

0:18:23.400 --> 0:18:26.680
<v Speaker 1>Scarings disclosed the e bike effort Friday at a company

0:18:26.720 --> 0:18:29.960
<v Speaker 1>wide meeting all hands. That's according to my sources, a

0:18:30.000 --> 0:18:33.720
<v Speaker 1>small group of engineers is already working on this project.

0:18:34.160 --> 0:18:36.960
<v Speaker 1>Are J. Scarings told his staff the company owns patterns

0:18:36.960 --> 0:18:42.640
<v Speaker 1>for electric bicycle components and designs now coming up. Derivatives

0:18:42.680 --> 0:18:46.240
<v Speaker 1>traders sent back to manual processing thanks to a cyber

0:18:46.280 --> 0:18:49.040
<v Speaker 1>attack earlier this week. We have the details on that

0:18:49.240 --> 0:19:07.160
<v Speaker 1>coming up next. This is Bloomberg. A cyber attack earlier

0:19:07.200 --> 0:19:11.640
<v Speaker 1>this week sent derivatives trading back to the nighties. Bear

0:19:11.680 --> 0:19:14.800
<v Speaker 1>with us joining us for more. Bloomberg's Katherine Doctor who

0:19:14.800 --> 0:19:17.520
<v Speaker 1>had that scoop, explained the basics of this story to

0:19:17.520 --> 0:19:21.399
<v Speaker 1>meet Catherine. So just this week, Ion Trading, it's a

0:19:21.440 --> 0:19:26.280
<v Speaker 1>software firm that is the key to many markets across

0:19:26.320 --> 0:19:30.960
<v Speaker 1>the globe, but this specific software was for derivatives trading,

0:19:31.440 --> 0:19:35.280
<v Speaker 1>and earlier it started in Europe. Some of the systems

0:19:35.520 --> 0:19:38.960
<v Speaker 1>were down and it came out that there was a

0:19:39.000 --> 0:19:44.720
<v Speaker 1>cyber attack, and ultimately that meant that derivatives trading was

0:19:45.280 --> 0:19:49.199
<v Speaker 1>up ended across the world. And it's really been a

0:19:49.280 --> 0:19:53.840
<v Speaker 1>disruption and this target which is ongoing. The systems are

0:19:53.920 --> 0:19:57.880
<v Speaker 1>still down across the globe and only just now either

0:19:57.960 --> 0:20:01.399
<v Speaker 1>coming back online or moving elsewhere are UM. There's been

0:20:01.440 --> 0:20:06.400
<v Speaker 1>a ripple effect and there has also been UM many

0:20:06.480 --> 0:20:10.679
<v Speaker 1>developments even even currently UM we're we're calling sources because

0:20:11.160 --> 0:20:17.240
<v Speaker 1>it has come come out on the UM cyber attack.

0:20:17.680 --> 0:20:23.439
<v Speaker 1>The the actual attacking website. UM that this uh, this

0:20:23.600 --> 0:20:26.880
<v Speaker 1>software is now not on their target lift, so we

0:20:27.040 --> 0:20:31.879
<v Speaker 1>might actually see some developments and some resolutions soon. Um.

0:20:31.920 --> 0:20:35.280
<v Speaker 1>This is a story, Catherine, of technology gone wrong, just

0:20:35.400 --> 0:20:38.639
<v Speaker 1>terrific repulsing from you and the team. My understanding is

0:20:38.680 --> 0:20:42.080
<v Speaker 1>that we've had responses from the US Treasury Department and

0:20:42.160 --> 0:20:46.840
<v Speaker 1>also some banks. What are they saying, Yes, so today, UM,

0:20:46.920 --> 0:20:51.080
<v Speaker 1>we put out some reporting on the banks that are

0:20:51.119 --> 0:20:54.320
<v Speaker 1>either directly impacted, and what they are saying is that

0:20:54.359 --> 0:20:57.680
<v Speaker 1>they are managing their trade, some of them manually, so

0:20:57.720 --> 0:21:01.119
<v Speaker 1>they're going back to UH. We do refer to the

0:21:01.200 --> 0:21:06.760
<v Speaker 1>nineteen eighties when this world of derivatives trading was more

0:21:06.840 --> 0:21:12.320
<v Speaker 1>manual and less automated, less dependent on computers and electronic

0:21:12.359 --> 0:21:16.240
<v Speaker 1>trading um than it is today. So they are trying

0:21:16.280 --> 0:21:19.520
<v Speaker 1>to resolve this issue. They are manually reporting so that

0:21:19.560 --> 0:21:23.600
<v Speaker 1>they can abide by their regulatory guidance, and the regulators

0:21:23.640 --> 0:21:27.520
<v Speaker 1>are are giving some flexibility as well. They've extended some

0:21:27.640 --> 0:21:31.680
<v Speaker 1>deadlines and some of their reporting requirements that are due

0:21:31.800 --> 0:21:34.439
<v Speaker 1>at the end of this week have been extended. It

0:21:34.440 --> 0:21:36.199
<v Speaker 1>feels like this is just the start of this one.

0:21:36.240 --> 0:21:48.480
<v Speaker 1>Bloomberg's Katherine Dougherty, Thank you very much. Welcome back to

0:21:48.480 --> 0:21:52.160
<v Speaker 1>Bloomberg Technology. I'm Ed Ludlow in San Francisco. Now, Google

0:21:52.320 --> 0:21:56.520
<v Speaker 1>has invested almost four million in the AI startup and Thropic,

0:21:56.560 --> 0:21:59.520
<v Speaker 1>which is testing a rival to open a eyes chat

0:21:59.560 --> 0:22:02.800
<v Speaker 1>GPS that according to a Bloomberg source, the deal gives

0:22:02.840 --> 0:22:06.920
<v Speaker 1>Google a stake in Anthropic, but it doesn't require Anthropic

0:22:07.160 --> 0:22:11.240
<v Speaker 1>to spend any of the funds buying cloud services from Google.

0:22:11.440 --> 0:22:14.639
<v Speaker 1>It's been a long week of AI headlines and I

0:22:14.640 --> 0:22:17.040
<v Speaker 1>want to break them all down now with Saga Shah,

0:22:17.040 --> 0:22:20.800
<v Speaker 1>head of Responsible AI at fract Or, a global AI

0:22:20.880 --> 0:22:26.240
<v Speaker 1>provider to fortune companies across finance, healthcare, and retail. Let's

0:22:26.240 --> 0:22:29.600
<v Speaker 1>start with that and Google, Sago, you you operate in

0:22:29.640 --> 0:22:31.639
<v Speaker 1>the world of AI. I know that you're following the

0:22:31.680 --> 0:22:36.840
<v Speaker 1>headlines and technological developments closely. You know the executives over

0:22:37.080 --> 0:22:40.200
<v Speaker 1>Alphabet and Google were ready for the questions when you're

0:22:40.240 --> 0:22:42.600
<v Speaker 1>going to pull back the curtain. But what did you,

0:22:42.720 --> 0:22:47.080
<v Speaker 1>as an industry participant, actually learned this week about Google's

0:22:47.320 --> 0:22:52.080
<v Speaker 1>latest in artificial intelligence? Shan, I think this is about

0:22:52.160 --> 0:22:56.719
<v Speaker 1>anything big phonol of us don't affect as we can understand.

0:22:57.600 --> 0:23:02.280
<v Speaker 1>Definitely you know doc after Google's learnings report, for sure,

0:23:02.359 --> 0:23:05.680
<v Speaker 1>but that also indicates a lot about the macro about environment,

0:23:06.240 --> 0:23:09.960
<v Speaker 1>not just about chagpt right, the digital business going down,

0:23:10.600 --> 0:23:13.560
<v Speaker 1>not not growing as fast as it was last two

0:23:13.640 --> 0:23:15.720
<v Speaker 1>years like that sort of sort of a micro trend.

0:23:16.560 --> 0:23:20.439
<v Speaker 1>But the most interesting part has been UH agupty and

0:23:20.840 --> 0:23:24.720
<v Speaker 1>this investment and Tropic as well as the internal arms

0:23:24.720 --> 0:23:28.080
<v Speaker 1>of Google all coming together, which was a great thing

0:23:28.119 --> 0:23:32.560
<v Speaker 1>to see. Uh. For example, the internal Lambda which is

0:23:32.600 --> 0:23:36.399
<v Speaker 1>the language models UM. Right. Uh. They are now using

0:23:36.440 --> 0:23:41.680
<v Speaker 1>that UM for the apprentice pat internally to test. They've

0:23:41.680 --> 0:23:44.800
<v Speaker 1>asked all their employees to start using it and sending feedback. Right,

0:23:44.880 --> 0:23:49.720
<v Speaker 1>that's an interesting move. The other deep mind UM which

0:23:49.760 --> 0:23:52.560
<v Speaker 1>also has you know the almost the best day algorithm

0:23:52.560 --> 0:23:55.200
<v Speaker 1>at two thousands ten right, That is a London based

0:23:55.240 --> 0:23:57.800
<v Speaker 1>company that they acquired, and it's sort of become the

0:23:58.200 --> 0:24:00.720
<v Speaker 1>you know, part of Google. They have also in UM.

0:24:00.920 --> 0:24:03.880
<v Speaker 1>I asked keep my indortional get involved in this. Uh.

0:24:04.280 --> 0:24:07.760
<v Speaker 1>In this charge is UH And of course the Tropic,

0:24:07.800 --> 0:24:11.800
<v Speaker 1>as everybody's noticing, it's just another one of those investments,

0:24:11.800 --> 0:24:16.119
<v Speaker 1>which is a significant investment, still less than Microsoft some

0:24:16.160 --> 0:24:19.480
<v Speaker 1>more d billion darted investment and open Aye. So I

0:24:19.520 --> 0:24:23.119
<v Speaker 1>feel Google is of course trying to match up the

0:24:23.160 --> 0:24:26.960
<v Speaker 1>speed as well as using all H A I methods

0:24:27.320 --> 0:24:30.440
<v Speaker 1>to catch up. And it's possible it may you wouldn't go,

0:24:30.960 --> 0:24:34.159
<v Speaker 1>you know, better than anything else out there, considering the

0:24:34.320 --> 0:24:38.119
<v Speaker 1>advances it has already made. Um in the world of

0:24:39.280 --> 0:24:42.359
<v Speaker 1>the other conversation has kind of emerged over the course

0:24:42.359 --> 0:24:46.040
<v Speaker 1>of the week is who's ahead and whose best position

0:24:46.119 --> 0:24:50.320
<v Speaker 1>to commercialize artificial intelligence? The stock market is also paying attention,

0:24:50.480 --> 0:24:52.920
<v Speaker 1>right we we We look at some interesting names, C

0:24:53.200 --> 0:24:57.000
<v Speaker 1>three AI, big Bear AI, even buzz feed whose stock

0:24:57.040 --> 0:24:59.560
<v Speaker 1>has been a w over the place because of their

0:24:59.640 --> 0:25:01.760
<v Speaker 1>relay s and ship with open ai for the use

0:25:01.800 --> 0:25:04.520
<v Speaker 1>of chat GPT. We're sharing just some of the jumps

0:25:04.520 --> 0:25:09.120
<v Speaker 1>on Friday, big Bear up for what was your conclusion

0:25:09.560 --> 0:25:12.679
<v Speaker 1>this week about who is leading in the field of

0:25:12.680 --> 0:25:17.680
<v Speaker 1>our official intelligence? Is it Microsoft? Is it Google? That's

0:25:17.680 --> 0:25:22.240
<v Speaker 1>a tough question, frankly, and I would I would reflect

0:25:22.320 --> 0:25:24.560
<v Speaker 1>upon it in a different way. I think the race

0:25:24.680 --> 0:25:29.199
<v Speaker 1>is much longer than this year, uh, Frankly. Chart deputy

0:25:29.320 --> 0:25:34.440
<v Speaker 1>generative AI, which is a larger umbrella in with synthetic data,

0:25:34.520 --> 0:25:37.080
<v Speaker 1>language models, all of these other types of algorithms are

0:25:37.080 --> 0:25:39.960
<v Speaker 1>also being used. Right. Uh, it is still a little

0:25:40.000 --> 0:25:44.080
<v Speaker 1>far away from being where let's say Google searches for today.

0:25:44.160 --> 0:25:46.960
<v Speaker 1>So it's I think it's out in the open where

0:25:47.000 --> 0:25:49.200
<v Speaker 1>the competition will land. And let's say Google use it's

0:25:49.240 --> 0:25:53.480
<v Speaker 1>all its data, all its algorithms, all its investments towards that.

0:25:54.160 --> 0:25:56.560
<v Speaker 1>And then Microsoft is doing the same. If it integrates

0:25:56.600 --> 0:25:59.600
<v Speaker 1>open air with let's say Microsoft teams and all of

0:25:59.640 --> 0:26:04.680
<v Speaker 1>it's A locations, will the search consumer search move from

0:26:05.400 --> 0:26:09.000
<v Speaker 1>Google to Amazon product searches or within the Microsoft perhaps,

0:26:09.440 --> 0:26:13.240
<v Speaker 1>or maybe Google will develop something much better. That's a

0:26:13.400 --> 0:26:17.120
<v Speaker 1>sort of a debate we keep having every day. Um,

0:26:17.480 --> 0:26:20.439
<v Speaker 1>but I think it's a little away from the stock market.

0:26:20.440 --> 0:26:24.119
<v Speaker 1>Like the stock market reactions are, I feel quite stark.

0:26:24.720 --> 0:26:28.160
<v Speaker 1>So this, uh, I would expect less stark behavior going forward,

0:26:28.200 --> 0:26:31.679
<v Speaker 1>because you will start seeing the improvements in the right

0:26:31.720 --> 0:26:35.040
<v Speaker 1>the way I currently it's only Uh, it's very infinite.

0:26:35.680 --> 0:26:39.000
<v Speaker 1>It still cannot be trusted to do many things. It

0:26:39.040 --> 0:26:41.880
<v Speaker 1>can do basic stuff like a replication of natural language

0:26:41.880 --> 0:26:47.280
<v Speaker 1>and you know copies media um from you know, NBAS contracts, etcetera.

0:26:47.680 --> 0:26:50.720
<v Speaker 1>And so that those jobs may get you know, repurposed

0:26:50.720 --> 0:26:54.360
<v Speaker 1>to something more meaningful. Um. For some people, you know,

0:26:54.440 --> 0:26:57.440
<v Speaker 1>the upscaling, maybe requirement so and so, some of those

0:26:57.440 --> 0:26:58.960
<v Speaker 1>things will happen, but it is still not going to

0:26:59.000 --> 0:27:02.560
<v Speaker 1>be completely disrupt TiO as we are seeing, at least

0:27:02.560 --> 0:27:06.640
<v Speaker 1>for the next few months. We're still is far away.

0:27:06.960 --> 0:27:08.960
<v Speaker 1>So side it will give me then a taste of

0:27:09.040 --> 0:27:12.200
<v Speaker 1>the here and now, the reality, right and what fractals doing.

0:27:12.640 --> 0:27:14.760
<v Speaker 1>You know, we started this segment by saying, you are

0:27:14.880 --> 0:27:19.479
<v Speaker 1>providing AI right now to fourtune companies. What does that

0:27:19.520 --> 0:27:23.280
<v Speaker 1>look like? What does that even mean? Yeah? So practical

0:27:23.720 --> 0:27:25.760
<v Speaker 1>is uh, we are a set off you know, five

0:27:25.760 --> 0:27:28.879
<v Speaker 1>thousand people to believe we're providing text services in AI

0:27:29.000 --> 0:27:33.120
<v Speaker 1>to almost one fifty plus Fortune Friday companies across all

0:27:33.640 --> 0:27:39.040
<v Speaker 1>healthcare you know, financial services, insurance, consumer goods, retail, and

0:27:39.080 --> 0:27:44.600
<v Speaker 1>so on. And we for us, every strategic decision, tactical decision,

0:27:44.640 --> 0:27:50.119
<v Speaker 1>operational decision that corporate person or consumer is making right,

0:27:50.160 --> 0:27:53.080
<v Speaker 1>how can we make that better using AI? And when?

0:27:53.119 --> 0:27:55.280
<v Speaker 1>When when I say AI, it's so much broader term

0:27:55.400 --> 0:27:58.880
<v Speaker 1>to us. It is AI plus cloud engineering, which enables

0:27:58.920 --> 0:28:03.320
<v Speaker 1>a just human centered design, behavioral sciences which enable user adoption.

0:28:03.680 --> 0:28:06.920
<v Speaker 1>So all of those things come together to help companies

0:28:06.960 --> 0:28:13.000
<v Speaker 1>make better decisions. We also have products which help behavioral

0:28:13.040 --> 0:28:16.440
<v Speaker 1>sciences to solve complex problems, like one of our company's

0:28:16.440 --> 0:28:20.359
<v Speaker 1>final my works very closely to reduce human trafficking, to

0:28:20.520 --> 0:28:24.440
<v Speaker 1>reduce HIV in Africa in Initia, you know, and so on,

0:28:25.119 --> 0:28:28.000
<v Speaker 1>and other such products which help in let's say, training

0:28:28.320 --> 0:28:30.480
<v Speaker 1>analytics with There is one of those companies which we

0:28:30.560 --> 0:28:34.040
<v Speaker 1>invested in which helps create the data science professional pool

0:28:34.080 --> 0:28:38.120
<v Speaker 1>in the world. It's the largest training platform and so on.

0:28:38.200 --> 0:28:40.800
<v Speaker 1>So that is what we're trying to do with cultivating

0:28:40.800 --> 0:28:44.360
<v Speaker 1>a community of data scientists who can work, you know,

0:28:44.560 --> 0:28:47.920
<v Speaker 1>in this new environment because a lot of our skilling

0:28:48.000 --> 0:28:51.920
<v Speaker 1>is required in this environment and a lot of business

0:28:51.920 --> 0:28:55.320
<v Speaker 1>problems can be solved using AI, but there is always

0:28:55.320 --> 0:28:58.640
<v Speaker 1>a human also required. So how we believe is people

0:28:58.760 --> 0:29:02.400
<v Speaker 1>without AI will offer comparental people with the it is

0:29:03.320 --> 0:29:08.440
<v Speaker 1>was this human Sagasha just a really deep read on

0:29:08.480 --> 0:29:10.480
<v Speaker 1>what's happening in this space right now, a head of

0:29:10.760 --> 0:29:15.600
<v Speaker 1>responsible AI of fractal Thank you. Now coming up, Calls

0:29:15.600 --> 0:29:18.640
<v Speaker 1>are growing for banning TikTok in the US. Could it

0:29:18.720 --> 0:29:50.160
<v Speaker 1>actually happen though we'll discuss this is Bloomberg. Could TikTok

0:29:50.240 --> 0:29:54.000
<v Speaker 1>be banned in the US, just over two years after

0:29:54.040 --> 0:29:57.360
<v Speaker 1>the Donald Trump administration tried to force the Chinese parent

0:29:57.440 --> 0:30:01.040
<v Speaker 1>company Bike Dance to sell it's US business. There are

0:30:01.080 --> 0:30:04.760
<v Speaker 1>new legislative efforts to ban the social media app out right.

0:30:05.200 --> 0:30:07.720
<v Speaker 1>Two bills have been proposed, one in the House, one

0:30:07.760 --> 0:30:11.400
<v Speaker 1>in the Senate. But it's a tricky issue. Policymakers are

0:30:11.400 --> 0:30:13.720
<v Speaker 1>walking a really interesting line. Of course, they want to

0:30:13.800 --> 0:30:16.280
<v Speaker 1>keep American either status safe and make sure that there's

0:30:16.280 --> 0:30:19.880
<v Speaker 1>no influence from foreign governments on users in the US,

0:30:19.920 --> 0:30:23.360
<v Speaker 1>but they also don't want to upset a really important

0:30:23.360 --> 0:30:27.200
<v Speaker 1>and increasingly powerful voter base, being young Americans who are

0:30:27.640 --> 0:30:30.320
<v Speaker 1>loving and finding a lot of delight from the TikTok app.

0:30:30.920 --> 0:30:34.320
<v Speaker 1>That's reflected in the mood in d C. Daniel Flatley,

0:30:34.360 --> 0:30:36.960
<v Speaker 1>a reporter for Bloomberg News, was sitting in his car

0:30:37.000 --> 0:30:39.920
<v Speaker 1>a block away from the Capitol when we spoke. You

0:30:39.960 --> 0:30:43.640
<v Speaker 1>won't find very many lawmakers on Capitol Hill who are

0:30:43.720 --> 0:30:48.040
<v Speaker 1>unabashed supporters of TikTok. They say that they have some concerns.

0:30:48.320 --> 0:30:51.120
<v Speaker 1>My patients just run thin. If they've got a solution set,

0:30:51.480 --> 0:30:53.280
<v Speaker 1>they ought to lay it out. And if they don't,

0:30:53.360 --> 0:30:55.200
<v Speaker 1>I think you're going to see if they ever get

0:30:55.240 --> 0:30:57.560
<v Speaker 1>to a solution. That may be moot because individual states

0:30:57.640 --> 0:31:00.440
<v Speaker 1>or Congress may act. It's not totally clear or whether

0:31:00.600 --> 0:31:03.320
<v Speaker 1>they have the appetite to ban it completely, because that

0:31:03.360 --> 0:31:08.360
<v Speaker 1>would be taking things up pretty far and could potentially

0:31:08.360 --> 0:31:10.320
<v Speaker 1>be challenged in court. So we'll see how all that

0:31:10.480 --> 0:31:13.400
<v Speaker 1>works out. The app is already banned on all devices

0:31:13.480 --> 0:31:15.880
<v Speaker 1>issued by the federal government. A number of states have

0:31:15.920 --> 0:31:20.200
<v Speaker 1>followed suit, as have publicly funded universities in those states.

0:31:20.240 --> 0:31:23.000
<v Speaker 1>Some have advocated using the prospect of an outright ban

0:31:23.160 --> 0:31:27.280
<v Speaker 1>as a bargaining chip for negotiations with China over tech. Ultimately,

0:31:27.320 --> 0:31:30.400
<v Speaker 1>if Congress fails to make any progress, it will fall

0:31:30.440 --> 0:31:33.000
<v Speaker 1>to President Joe Biden to find a way to rein

0:31:33.080 --> 0:31:40.360
<v Speaker 1>in the Chinese tech giant that was Bloomberg's Alex Webb,

0:31:40.440 --> 0:31:44.120
<v Speaker 1>Alex Brinka, and Daniel Flatley. Now, let's talk a little

0:31:44.120 --> 0:31:47.360
<v Speaker 1>bit more about this, bringing gen c VCS found and

0:31:47.560 --> 0:31:53.080
<v Speaker 1>CEO Megan Loist for her take. Megan, you know VC founders,

0:31:54.040 --> 0:31:59.800
<v Speaker 1>You know gen Z tech TikTok is an app you

0:32:00.040 --> 0:32:04.600
<v Speaker 1>used by okay, broad demographic, but gen Z as well.

0:32:04.960 --> 0:32:07.240
<v Speaker 1>The other side of this debate is the use of

0:32:07.320 --> 0:32:11.360
<v Speaker 1>base and then saying we don't get it, we don't

0:32:11.400 --> 0:32:14.920
<v Speaker 1>get the risks, we don't get why you're taking this

0:32:15.000 --> 0:32:18.640
<v Speaker 1>away from us. Where do you sell on that? I

0:32:18.680 --> 0:32:21.680
<v Speaker 1>think it's interesting, right. I think of there's two two

0:32:21.680 --> 0:32:23.920
<v Speaker 1>sort of users you have to think about. There's the

0:32:23.960 --> 0:32:27.280
<v Speaker 1>people who consume TikTok content like me, and there's also

0:32:27.320 --> 0:32:29.920
<v Speaker 1>the creators who their livelihoods are dependent on TikTok and

0:32:29.920 --> 0:32:32.640
<v Speaker 1>their followings. So for users who are spending fifteen and

0:32:32.680 --> 0:32:34.720
<v Speaker 1>twenty hours a week on TikTok and it's their number

0:32:34.720 --> 0:32:38.239
<v Speaker 1>one sport of entertainment, uh, they're obviously concerned that's going

0:32:38.280 --> 0:32:41.120
<v Speaker 1>to be taken away. But for creators where they're actually

0:32:41.160 --> 0:32:45.080
<v Speaker 1>monetizing on TikTok, and seventy plus percent of creators their

0:32:45.160 --> 0:32:47.720
<v Speaker 1>number one sorts of income is actually through brand deals.

0:32:47.960 --> 0:32:49.960
<v Speaker 1>You take away their main platform, you take away a

0:32:50.000 --> 0:32:52.320
<v Speaker 1>lot of people's livelihoods. And so I think people are

0:32:52.400 --> 0:32:54.640
<v Speaker 1>up in arms, especially gen Zers who make up sixty

0:32:54.640 --> 0:32:58.000
<v Speaker 1>plus percent of TikTok's users, um, simply because you're taking

0:32:58.040 --> 0:33:00.920
<v Speaker 1>away either our main source of entertain men or our

0:33:00.960 --> 0:33:03.640
<v Speaker 1>actual source of income. And so and again, the number

0:33:03.640 --> 0:33:06.240
<v Speaker 1>one career path for gen z eears today, we want

0:33:06.240 --> 0:33:09.200
<v Speaker 1>to be YouTubers, bloggers, content readers, and so this is

0:33:09.200 --> 0:33:11.479
<v Speaker 1>going to continue to be a theme for a lot

0:33:11.520 --> 0:33:14.280
<v Speaker 1>of people. And TikTok is our platform of choice. So

0:33:14.720 --> 0:33:16.760
<v Speaker 1>and on the founder side as well, you'd see a

0:33:16.760 --> 0:33:20.200
<v Speaker 1>lot of consumer founders scaling their businesses on TikTok. It's

0:33:20.200 --> 0:33:23.600
<v Speaker 1>a great path for distribution and building an authentic organic

0:33:23.680 --> 0:33:25.960
<v Speaker 1>presence versually doing a lot of paid marketing. And so

0:33:26.000 --> 0:33:28.400
<v Speaker 1>you're actually taking away a lot of opportunity from founders

0:33:28.400 --> 0:33:33.880
<v Speaker 1>as well. Right colloquially, gen Z is anyone born in

0:33:33.920 --> 0:33:38.960
<v Speaker 1>the late nineties through I think until that's pretty wide

0:33:38.960 --> 0:33:42.200
<v Speaker 1>group of people that we're talking about. I'm interested in

0:33:42.360 --> 0:33:45.200
<v Speaker 1>gen Z fee cs the kind of community that you

0:33:45.320 --> 0:33:48.720
<v Speaker 1>founded and started because it is an ecosystem of both

0:33:48.760 --> 0:33:51.920
<v Speaker 1>founders and vcs. And the other debate that we that

0:33:52.000 --> 0:33:53.960
<v Speaker 1>we want to have you on to talk about is

0:33:54.000 --> 0:33:57.920
<v Speaker 1>how those people will fare in three. Are colleagues at

0:33:57.920 --> 0:34:01.360
<v Speaker 1>Bloomberg Opinion Allison shre you Go write this column this

0:34:01.440 --> 0:34:06.440
<v Speaker 1>week titled gen Z startups will face a tough sell

0:34:06.880 --> 0:34:10.120
<v Speaker 1>in three. In other words, they're entering an environment where

0:34:10.120 --> 0:34:13.480
<v Speaker 1>they're trying to raise money, get businesses off the ground.

0:34:14.320 --> 0:34:17.160
<v Speaker 1>But the world's changed. What are the conversations you're having

0:34:17.280 --> 0:34:21.440
<v Speaker 1>right now with the community that you founded. Yeah, I

0:34:21.440 --> 0:34:24.480
<v Speaker 1>think the funding environment is difficult for younger founders and

0:34:24.560 --> 0:34:26.719
<v Speaker 1>older founders. The average age of a founder is about

0:34:26.719 --> 0:34:30.600
<v Speaker 1>thirty five years old. But and I understand the conversation

0:34:30.640 --> 0:34:33.200
<v Speaker 1>with investors where it's like, Okay, maybe there's less risk

0:34:33.320 --> 0:34:36.360
<v Speaker 1>in backing experience founders who have done at once before.

0:34:36.640 --> 0:34:38.959
<v Speaker 1>But on the flip side of that coin, uh, there's

0:34:38.960 --> 0:34:41.839
<v Speaker 1>a generational opportunity in backing gen Z founders who are

0:34:41.840 --> 0:34:45.280
<v Speaker 1>building problems from themselves. And you see this with every generation.

0:34:45.320 --> 0:34:48.680
<v Speaker 1>It's not something that's necessarily unique with gen zum but

0:34:48.760 --> 0:34:51.319
<v Speaker 1>it's really important because when you look at the world

0:34:51.360 --> 0:34:54.879
<v Speaker 1>today and make the problems that we're facing and experiencing, uh,

0:34:54.960 --> 0:34:58.000
<v Speaker 1>gen Z founders have naturally they experienced the pain point

0:34:58.000 --> 0:35:00.759
<v Speaker 1>firsthand and they can build around that problem. Even for

0:35:00.840 --> 0:35:03.360
<v Speaker 1>me as a gen Z investor and formally as investor

0:35:03.400 --> 0:35:07.080
<v Speaker 1>at the Heppo General Atlantic Large funds, I tended to

0:35:07.120 --> 0:35:10.600
<v Speaker 1>back first time founders gen Z founders because I infinitely

0:35:10.640 --> 0:35:13.680
<v Speaker 1>understood their take as an investor, and so what I'm

0:35:13.680 --> 0:35:16.200
<v Speaker 1>seeing broadly is it really encouraging founders to go back

0:35:16.200 --> 0:35:19.440
<v Speaker 1>to the fundamentals and so thinking about their unique value

0:35:19.440 --> 0:35:21.839
<v Speaker 1>prop and why they're building the problem, what makes them

0:35:21.840 --> 0:35:24.439
<v Speaker 1>the best person to build that business. Really just thinking

0:35:24.440 --> 0:35:27.160
<v Speaker 1>about founder market fit, which is true for gen Z founders,

0:35:27.200 --> 0:35:31.239
<v Speaker 1>millennial founders, gen X founders, any founders, and so I think,

0:35:31.320 --> 0:35:33.759
<v Speaker 1>you know, broadly, I think there's still a massive opportunity

0:35:33.800 --> 0:35:36.439
<v Speaker 1>to be backing gen Z founders, young people who see

0:35:36.440 --> 0:35:40.520
<v Speaker 1>problems authentically from the gen Z perspective. Megan, when you

0:35:40.560 --> 0:35:43.040
<v Speaker 1>look at opportunities yourself as an investor, I know you

0:35:43.160 --> 0:35:46.239
<v Speaker 1>back a lot of gen Z founders. What are thematically

0:35:46.239 --> 0:35:49.239
<v Speaker 1>the areas you're most excited about? Twenty three? We just

0:35:49.280 --> 0:35:52.919
<v Speaker 1>had thirty seconds. Yeah, So we actually do a poll

0:35:53.000 --> 0:35:55.520
<v Speaker 1>every year. This year, the top three trends that gen

0:35:55.600 --> 0:35:58.480
<v Speaker 1>Z investors are tracting our climate, tech, AI and m

0:35:58.600 --> 0:36:01.200
<v Speaker 1>L which is a very through part hapic right now,

0:36:01.680 --> 0:36:04.160
<v Speaker 1>and then fintech as well, though those are three areas

0:36:04.160 --> 0:36:07.239
<v Speaker 1>that we're tracking, And even just this week, I've been

0:36:07.239 --> 0:36:09.560
<v Speaker 1>pitched on a bunch of generative AI companies and so

0:36:09.840 --> 0:36:12.880
<v Speaker 1>a lot of younger founders are building an AI. Probably

0:36:13.080 --> 0:36:16.359
<v Speaker 1>gen Z VCS founder and CEO Megan Lays. So great

0:36:16.400 --> 0:36:17.920
<v Speaker 1>to have you on the show. Thank you so much

0:36:17.960 --> 0:36:30.359
<v Speaker 1>for joining us. When you think of indoor cycling at home,

0:36:30.480 --> 0:36:33.520
<v Speaker 1>you probably think of Peloton. But there's a new kid

0:36:33.520 --> 0:36:37.239
<v Speaker 1>on the block, Swift, which some cyclists use when they

0:36:37.280 --> 0:36:40.279
<v Speaker 1>can't ride outside, and which takes you. Okay, bear with

0:36:40.360 --> 0:36:43.880
<v Speaker 1>me inside the metaverse Quick Takes. Tim Stenovic took a

0:36:44.000 --> 0:36:50.040
<v Speaker 1>ride with the company's co CEO, Eric Men. There you are. Now,

0:36:50.080 --> 0:36:54.880
<v Speaker 1>I gotta catch you and I'm cheasing you. Now, where's

0:36:54.920 --> 0:37:00.600
<v Speaker 1>the sprit? That's what I'm waiting for. Yeah, you left

0:37:00.600 --> 0:37:11.040
<v Speaker 1>me in the dust there. When it comes to indoor cycling,

0:37:11.160 --> 0:37:13.920
<v Speaker 1>pretty much everybody has heard of Peloton, but Swift is

0:37:13.960 --> 0:37:16.160
<v Speaker 1>what a lot of the serious cyclists use when they're

0:37:16.200 --> 0:37:18.680
<v Speaker 1>just not able to ride outside. Here's how it works.

0:37:18.920 --> 0:37:21.800
<v Speaker 1>A smart trainer connects to apps and it can adjust

0:37:21.920 --> 0:37:24.399
<v Speaker 1>to make it harder, like if you're going up a hill.

0:37:24.640 --> 0:37:27.520
<v Speaker 1>One of those apps is Swift. It helps you exercise,

0:37:27.600 --> 0:37:30.440
<v Speaker 1>but it's also a game. You're peddling your bike in

0:37:30.440 --> 0:37:33.160
<v Speaker 1>the real world, but you have this avatar. I wanted

0:37:33.200 --> 0:37:35.160
<v Speaker 1>to learn more about Swift, and I thought there was

0:37:35.200 --> 0:37:37.200
<v Speaker 1>no better way to do that than to go for

0:37:37.239 --> 0:37:42.480
<v Speaker 1>a ride with the company's CEO. I'm in New York City,

0:37:43.239 --> 0:37:48.000
<v Speaker 1>you're in Long Beach right now. We're three thousand miles away,

0:37:48.040 --> 0:37:53.319
<v Speaker 1>but we're we're actually riding together on screen. Is this

0:37:53.400 --> 0:37:57.120
<v Speaker 1>the metaverse to you? Absolutely, it's a net averse. It's

0:37:57.200 --> 0:38:01.400
<v Speaker 1>a virtual space where people come together. There, they engage,

0:38:02.000 --> 0:38:04.680
<v Speaker 1>they build communities. If you look at the clubs that

0:38:04.719 --> 0:38:08.680
<v Speaker 1>we have, we have well over twenty clubs. It's really interesting.

0:38:08.760 --> 0:38:10.680
<v Speaker 1>The power of the community is I think unique to

0:38:11.040 --> 0:38:14.160
<v Speaker 1>with how do you develop courses? What's the process there?

0:38:14.360 --> 0:38:17.760
<v Speaker 1>We have a fantastic creative team and what we've learned

0:38:17.760 --> 0:38:21.520
<v Speaker 1>that over the years, These magical places like Latopia and

0:38:21.520 --> 0:38:24.319
<v Speaker 1>now mccourie Islands are the kind of maps that our

0:38:24.360 --> 0:38:27.120
<v Speaker 1>community would like to spend more of their time on.

0:38:27.320 --> 0:38:30.480
<v Speaker 1>And that's partly because we can do crazy things right.

0:38:30.800 --> 0:38:33.920
<v Speaker 1>We can create tunnels under the water in the seabed,

0:38:34.120 --> 0:38:37.520
<v Speaker 1>we can create roads above Manhattan. There are other people

0:38:37.520 --> 0:38:40.279
<v Speaker 1>who can try to replicate and be a more of

0:38:40.280 --> 0:38:42.440
<v Speaker 1>a simulator. We want to be our own thing, and

0:38:43.040 --> 0:38:45.719
<v Speaker 1>I think we can enhance what the real world is

0:38:45.760 --> 0:38:48.120
<v Speaker 1>and and just making much more interesting to do things

0:38:48.160 --> 0:38:54.560
<v Speaker 1>that you otherwise can't do. We see a lot of

0:38:54.560 --> 0:38:57.600
<v Speaker 1>companies raising prices right now because of inflation. Am I

0:38:57.640 --> 0:39:01.719
<v Speaker 1>correct in thinking that you guys have not raised prices.

0:39:02.000 --> 0:39:04.960
<v Speaker 1>We did raise prices five years ago, but we have

0:39:05.080 --> 0:39:08.520
<v Speaker 1>not done so since then. But let's be honest, the

0:39:08.560 --> 0:39:11.399
<v Speaker 1>cost of running our business has gotten more expensive. It's

0:39:11.400 --> 0:39:14.680
<v Speaker 1>been really tough to supply. Chain issues are real. We

0:39:14.760 --> 0:39:17.560
<v Speaker 1>are trying to run a business that is profitable at

0:39:17.600 --> 0:39:20.360
<v Speaker 1>some point. It's not. At the moment. We're really focused

0:39:20.400 --> 0:39:24.520
<v Speaker 1>on trying to onboard as many customers as possible and

0:39:24.600 --> 0:39:29.200
<v Speaker 1>trying to make the pricing accessible. You've raised over half

0:39:29.200 --> 0:39:31.960
<v Speaker 1>a billion dollars. Your investors want to see a return.

0:39:32.200 --> 0:39:35.560
<v Speaker 1>What's the exit for them? I think we all have

0:39:35.680 --> 0:39:40.200
<v Speaker 1>aspirations of taking this company public. There's no doubt about it.

0:39:40.239 --> 0:39:43.160
<v Speaker 1>Our investors have invested in this business because they think

0:39:43.200 --> 0:39:45.920
<v Speaker 1>we will be the category leader. You know, we believe

0:39:45.960 --> 0:39:49.640
<v Speaker 1>we can do that through through product. Take us into

0:39:49.640 --> 0:39:52.839
<v Speaker 1>the decision to launch hand cycles and tell me about

0:39:52.840 --> 0:39:56.880
<v Speaker 1>the reception and what you've heard. Back in September, we

0:39:57.000 --> 0:40:00.359
<v Speaker 1>finally launched the hand cycle. It develops everyone, but those

0:40:00.400 --> 0:40:03.200
<v Speaker 1>who are using are really those who are disabled. This

0:40:03.239 --> 0:40:06.480
<v Speaker 1>is really about, you know, leaving up to our values,

0:40:06.560 --> 0:40:11.240
<v Speaker 1>which is about diversity and inclusivilty. We have some responsibility

0:40:11.280 --> 0:40:17.440
<v Speaker 1>and making sure we make those investments. What's the breakdown

0:40:17.440 --> 0:40:23.719
<v Speaker 1>those with mail versus female men women? So there's a

0:40:23.760 --> 0:40:26.040
<v Speaker 1>lot of work to be done there. And then this

0:40:26.120 --> 0:40:28.839
<v Speaker 1>is why the sponsorship of the Woman's sort of Fronts

0:40:28.920 --> 0:40:31.040
<v Speaker 1>is so important for us. Take me through the r

0:40:31.040 --> 0:40:33.480
<v Speaker 1>all I on that. How does that translate into more people,

0:40:34.160 --> 0:40:36.960
<v Speaker 1>you know, paying fifteen bucks a months with if you're

0:40:37.000 --> 0:40:40.520
<v Speaker 1>going to sponsor a bike race, the sponsor the Towtter Fronts.

0:40:41.400 --> 0:40:44.440
<v Speaker 1>So when the opportunity came up for us to really

0:40:44.480 --> 0:40:47.960
<v Speaker 1>help support and relaunch the Woman's sort of Fronts, we

0:40:48.120 --> 0:40:52.279
<v Speaker 1>jumped at it. We'll have to find a sprint to do.

0:40:56.000 --> 0:40:58.880
<v Speaker 1>That was last I feel so bad, I'm throwing my

0:40:59.000 --> 0:41:02.359
<v Speaker 1>colleague much so, why towel You used to work at

0:41:02.360 --> 0:41:05.799
<v Speaker 1>a bank? Yes, now you ride likes all day. I

0:41:05.840 --> 0:41:09.440
<v Speaker 1>started my career on Wall Street many years ago. One

0:41:09.440 --> 0:41:14.640
<v Speaker 1>of the inspirations for startings with was to recreate my community,

0:41:14.719 --> 0:41:19.400
<v Speaker 1>my experience, the competition to training that I had in

0:41:19.480 --> 0:41:22.120
<v Speaker 1>Central Park. What does with look like three or five

0:41:22.200 --> 0:41:24.879
<v Speaker 1>years from now? I think there will be a convergence.

0:41:25.080 --> 0:41:28.560
<v Speaker 1>It's our job to make the interplay between indoor and

0:41:28.560 --> 0:41:32.399
<v Speaker 1>outdoor as seamless as possible, so that what's not lost

0:41:32.480 --> 0:41:36.480
<v Speaker 1>in that interplay is a social connection and the ability

0:41:36.480 --> 0:41:39.280
<v Speaker 1>to share experiences. I think that is a big unlock

0:41:39.440 --> 0:41:44.960
<v Speaker 1>for how we can really contribute to the cycling industry.

0:41:46.600 --> 0:41:49.560
<v Speaker 1>I've never done anything like this before in terms of interviews.

0:41:49.600 --> 0:41:52.640
<v Speaker 1>You know, I've not done this before either, But I'm

0:41:52.680 --> 0:41:56.000
<v Speaker 1>told that there are some tech leaders who on a

0:41:56.080 --> 0:41:59.759
<v Speaker 1>monthly basis get on Swift and have their catch up.

0:42:00.600 --> 0:42:02.440
<v Speaker 1>I think they find it amusing to be able to

0:42:02.640 --> 0:42:05.600
<v Speaker 1>do some exercise at the same time. All right, Eric,

0:42:05.600 --> 0:42:13.439
<v Speaker 1>I'm gonna catch you. Oh who you are? Okay, that's

0:42:13.520 --> 0:42:18.040
<v Speaker 1>enough for me. That's not work out rutual high five.

0:42:18.640 --> 0:42:23.279
<v Speaker 1>That was great, Thanks very thanks him. See it again. Yeah,

0:42:23.360 --> 0:42:28.240
<v Speaker 1>let's do it again. I would love to quick takes,

0:42:28.239 --> 0:42:31.440
<v Speaker 1>Tim Semic There some breaking news on the Bloomberg terminal.

0:42:32.080 --> 0:42:36.040
<v Speaker 1>Elon Musk has defeated the Tesla shareholder suit on the

0:42:37.880 --> 0:42:41.759
<v Speaker 1>sweets about taking Tesla private. The juries found that Musk

0:42:41.800 --> 0:42:47.200
<v Speaker 1>did not mislead the public about the Tesla take private deal.

0:42:47.400 --> 0:42:49.560
<v Speaker 1>We'll have more in that in the coming days. That

0:42:49.680 --> 0:42:52.280
<v Speaker 1>does it for this edition of Bloomberg Technology. Don't forget

0:42:52.440 --> 0:42:55.719
<v Speaker 1>check out our podcast I Heeart, Apple, Spotify, wherever you

0:42:55.760 --> 0:43:00.280
<v Speaker 1>get your podcasts. What a week. This is Bloomberg Pick

0:43:02.360 --> 0:43:04.640
<v Speaker 1>who give a big too big