WEBVTT - Mixed Jobs Signals and Amazon's Cell Service

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<v Speaker 1>From Marhart where Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed loved Love.

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<v Speaker 2>I'm Caroline Heinde at Bloomberg's World headquarters in New.

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<v Speaker 3>York and ourmed lovelow in San Francisco. This is Bloomdog

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<v Speaker 3>Technology coming up.

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<v Speaker 2>Well, some mixed signals in the labor market. Will break

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<v Speaker 2>down what hiring looks like within the tech sector and

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<v Speaker 2>speak to the CEO of Human Resources Platform Athena.

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<v Speaker 3>Plus, we get a peek inside the c suite when

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<v Speaker 3>it comes to the health of the tech industry and

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<v Speaker 3>speak to the CEOs of CrowdStrike and z Scaler. Does

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<v Speaker 3>those companies report earnings?

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<v Speaker 2>And Amazon and talks to offer mobile phone services to

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<v Speaker 2>its prime customers, will discuss well what that means with

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<v Speaker 2>the competition.

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<v Speaker 4>All that and so much more coming up.

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<v Speaker 2>I don't know if you saw the story coming out

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<v Speaker 2>of the Bank of America once again showing us where

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<v Speaker 2>the fun flows are going. And Michael Harten it's been

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<v Speaker 2>just putting out note after note calling what he says

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<v Speaker 2>as an AI baby bubble that we saw.

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<v Speaker 4>In the month of May.

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<v Speaker 2>But did you see the statistics and the last week

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<v Speaker 2>of May the money flowing in to technology a record

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<v Speaker 2>amount eight and a half billion dollars. That's EPFR global

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<v Speaker 2>data extraordinary. And we know why. We know it's the

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<v Speaker 2>AI bubble.

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<v Speaker 3>Well, look, there's this kind of fomo element, right, but

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<v Speaker 3>remember what we talked about with Juane Phoenie twenty four

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<v Speaker 3>hours ago. All of the games in the S and

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<v Speaker 3>P five hundred years to day are just seven names,

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<v Speaker 3>the megacats and Nvidia, which is a big part of

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<v Speaker 3>that AI story. Then we think about the fed hot

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<v Speaker 3>hot hot jobs data. What does it mean looking at swaps,

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<v Speaker 3>we're probably pricing for a hike in July, however you

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<v Speaker 3>want to phrase it for June a skip. Some in

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<v Speaker 3>the market would say higher rates impact present value of

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<v Speaker 3>future cash flows to tech. So we've got to pay

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<v Speaker 3>attention to the fundamentals as well.

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<v Speaker 2>Ed twenty four hours ago, you were talking to the

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<v Speaker 2>CEO Palenteer. I know this is a weird week, so

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<v Speaker 2>Joanne PHOENI was forty eight hours. I don't know if

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<v Speaker 2>you know, but I have no idea what day it is,

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<v Speaker 2>what time it is. But it was a great set

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<v Speaker 2>of interviews that we've had this week, and yeah, where

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<v Speaker 2>we're talking chips, where they're talking AI, let's talk payrolls

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<v Speaker 2>right now, because well, today we're showing continued strength in

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<v Speaker 2>the labor market, but we're just trying to dissect where

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<v Speaker 2>that strength is and whether it's actually in the tech

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<v Speaker 2>sector that we talk about day in day out. Let's

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<v Speaker 2>bring in someone who knows well Roxanvates, CEO of course

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<v Speaker 2>of the key company that is looking at the resource platform,

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<v Speaker 2>thinking about the technology startups that you're focusing on, Zoom, Figma,

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<v Speaker 2>even Netflix, Athena is supplying to these companies at the

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<v Speaker 2>moment in Rockxan, what are you seeing in terms of nervousness,

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<v Speaker 2>because you're actually all about compliance, you're all about culture. Ultimately,

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<v Speaker 2>what's the tech sector feel like?

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<v Speaker 5>I think that there's kind of this tension because there's

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<v Speaker 5>obviously been huge challenges in the tech sector, massive layoffs

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<v Speaker 5>that have kind of happened throughout the past twelve to

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<v Speaker 5>eighteen months. But on the flip side, there's also a

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<v Speaker 5>huge desire to keep key talent, keep culture and companies

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<v Speaker 5>whether they're navigating return to office, whether they're navigating sort

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<v Speaker 5>of all the social chalnelenges, intergenerational in the workforce, and

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<v Speaker 5>so I think you're seeing both, you know, the kind

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<v Speaker 5>of rampifications of a bit of a tighter economy in tech,

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<v Speaker 5>you know.

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<v Speaker 6>Layouts and things like that, but also absolutely.

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<v Speaker 5>Wanting to hold on tight to all of your key

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<v Speaker 5>talent because you know, that's at the end of the day,

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<v Speaker 5>what makes really great type companies this great employees.

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<v Speaker 2>So try and carve it out for US three hundred

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<v Speaker 2>and thirty nine thousand from a global from a US

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<v Speaker 2>macro perspective, looks very hot, but the unemployment rate is rising.

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<v Speaker 2>We are seeing a fight for certain types of talent,

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<v Speaker 2>for AI talent in particular.

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<v Speaker 4>We're just hearing how JP.

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<v Speaker 2>Morgan is just forty percent of those that are trying

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<v Speaker 2>to hard at amendment have got AI skill set. So

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<v Speaker 2>is that what was being referenced by the companies you're

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<v Speaker 2>talking to about this worry that those that they have decided.

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<v Speaker 4>To keep having a hard time keeping them.

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<v Speaker 5>I think that's exactly right, that there's you know, I

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<v Speaker 5>think that there can be this feeling that you conduct

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<v Speaker 5>a layoff and then it's just done. And in fact,

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<v Speaker 5>what I'm seeing with really thoughtful companies that we're really

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<v Speaker 5>proud to serve is that their people team, their management

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<v Speaker 5>teams understand that you may conduct a layoff, but that's

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<v Speaker 5>almost like day one. What you really then need to

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<v Speaker 5>do is invest in making sure that those who are

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<v Speaker 5>staying are happy, that they're connected to the company, that

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<v Speaker 5>they understand new policies, that they understand, you know, whatever

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<v Speaker 5>new things are happening in that company. Because a company

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<v Speaker 5>has done a layoff, but they are absolutely still planning

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<v Speaker 5>for growth, they you know, still fundamentally believe in their

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<v Speaker 5>core mission and in order to do that they have

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<v Speaker 5>to keep the best talent.

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<v Speaker 6>And of course AI is absolutely driving a lot of this.

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<v Speaker 5>But you know, in management, you need strong managers to

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<v Speaker 5>step up. Sometimes their span of control has increased. So

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<v Speaker 5>I think that the idea that layoffs were conducted and

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<v Speaker 5>then done, we're not really seeing that. Instead, we're seeing

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<v Speaker 5>companies really invest in like, Okay, what's the day after.

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<v Speaker 2>What's the day after, what's the culture like in d

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<v Speaker 2>how much you're having to pay people? Because I think

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<v Speaker 2>that's the other interesting part of this macro store and

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<v Speaker 2>the Job's data today was maybe you saw that wage

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<v Speaker 2>increase in that wage inflation just stall back a little bit.

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<v Speaker 7>Yeah, that's the data point.

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<v Speaker 3>Something I tweeted this week Roxanne was the story around

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<v Speaker 3>zip Recruiter cutting twenty percent of its staff.

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<v Speaker 7>What does that tell you?

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<v Speaker 3>Forget the economic data, what does that tell you when

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<v Speaker 3>a company like zip Recruiter that's doing recruitment is cutting

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<v Speaker 3>twenty percent of its own Stuff about this market?

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<v Speaker 5>Yeah, I mean, I think regardless of what company it is,

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<v Speaker 5>you know, the layst I think I've tended to be

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<v Speaker 5>between ten and twenty percent, And of course any company

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<v Speaker 5>that's heavily in the talent space was hit early, hit hard.

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<v Speaker 5>But I don't think that it fundamentally changes. Like if

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<v Speaker 5>you kind of pull back from the month to month

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<v Speaker 5>and look year to year, everybody believes that tech is

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<v Speaker 5>the future.

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<v Speaker 6>Like there's still this.

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<v Speaker 5>Really strong optimism driven by AI primarily, but across the board.

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<v Speaker 5>I think that as companies go hybrid, key tools are

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<v Speaker 5>going to be needed in order to connect management with

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<v Speaker 5>their employees. Like none of these I guess secular trends

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<v Speaker 5>are rolling back, and so I think it's a little

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<v Speaker 5>bit more.

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<v Speaker 6>You know, what it probably tells most people is that.

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<v Speaker 5>There may have been some overhiring, some exuberance, regardless of

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<v Speaker 5>what the company is. The past couple of years were

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<v Speaker 5>quite wild in tech, and I think it's just more

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<v Speaker 5>of a like a restructure, not a fundamental disagreement that

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<v Speaker 5>the future of these tech companies remain strong.

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<v Speaker 7>When do we return to horing.

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<v Speaker 5>I mean, I think that we are absolutely there. I

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<v Speaker 5>still many of the companies we work with, even companies

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<v Speaker 5>that have conducted, you know, to your point, these ten

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<v Speaker 5>twenty percent layoffs on the exact same day, may still

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<v Speaker 5>be hiring for key roles. So I'm not sure if

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<v Speaker 5>I had a crystal ball, you know, everything would be

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<v Speaker 5>much easier for me when we're going to return to

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<v Speaker 5>the pace of hiring that we might have seen over

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<v Speaker 5>the past two years.

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<v Speaker 6>But I wouldn't in any way.

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<v Speaker 5>Say that the people teams that were we work really

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<v Speaker 5>closely with have stopped hiring. They're backfilling certain roles. They're

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<v Speaker 5>absolutely thinking about where they need to continue to invest.

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<v Speaker 5>And so it's kind of this complicated dance of on

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<v Speaker 5>the one hand, perhaps conducting a layoff, but on the

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<v Speaker 5>other hand, really investing in both the talent that remains

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<v Speaker 5>and thinking about the talent coming in o.

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<v Speaker 2>Those people teams being replaced by AI.

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<v Speaker 5>I mean I think that they're being handspare by AI

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<v Speaker 5>right now. That's like sort of both the hope and

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<v Speaker 5>I think what we're seeing in general, there's still so

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<v Speaker 5>much of the people function that really is this like

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<v Speaker 5>interpersonal dynamic. You're conducting one on ones, you're conducting really

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<v Speaker 5>sensitive conversations, and I think there's an understanding, even among

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<v Speaker 5>folks who are incredibly optimistic about AI, that you're still

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<v Speaker 5>going to need to have these conversations have this really

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<v Speaker 5>complex inner personal dynamic.

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<v Speaker 6>But the absolute hope is.

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<v Speaker 5>Replace a lot of that paperwork with AI so that

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<v Speaker 5>you can focus more on the people work and not

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<v Speaker 5>just kind of that routine, you know, day to day stuff.

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<v Speaker 6>That's exactly what Athena is aiming to do.

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<v Speaker 3>Roxand Portraeus of Athena, thank you, Thank you. Coming up,

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<v Speaker 3>CrowdStrike reports its first quarter results are going to bright

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<v Speaker 3>and little.

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<v Speaker 7>Down with CEO that's coming up next.

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<v Speaker 3>I'm just going to take quick look at shares of

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<v Speaker 3>Broadcom as well. Interesting here, Caroline, which story do you

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<v Speaker 3>buy into when it comes to Broadcom the narrative that

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<v Speaker 3>AI sales will double over the course of this fiscal year,

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<v Speaker 3>or that every other business area is slowing down, particularly

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<v Speaker 3>when it comes to the memory side of the business.

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<v Speaker 3>I think that's really important stock to watch right now.

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<v Speaker 3>Investors liking it at one point nine percent. This is

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<v Speaker 3>Spoonberg CrowdStrike, reporting its first quarter results earlier this week

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<v Speaker 3>and boosting its revenue guidance for the full year. The

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<v Speaker 3>company also announced it's working with AWS to developed new

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<v Speaker 3>generative AI applications. Let's bring in CEO George Kurtz for

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<v Speaker 3>more on this. There was some concern George about a

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<v Speaker 3>decileraration in billings at one point to stock Thursday down

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<v Speaker 3>eleven percent, biggest drop since November. Others on the street

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<v Speaker 3>saying nothing to dislike in this earnings report.

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<v Speaker 7>What was the most important point for you?

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<v Speaker 8>Well, I think when you look at the earnings report,

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<v Speaker 8>you've got to start with we've exceeded our guided metrics.

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<v Speaker 8>In addition to that, we actually record revenue record, gross

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<v Speaker 8>profit record, operating profit and for the first time gap profitability.

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<v Speaker 8>So when you put all that together, it was extremely strong.

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<v Speaker 8>And the way we run our business is not by billings.

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<v Speaker 8>Billings is more of a timing issue. You have to

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<v Speaker 8>look at that new arr and if you look at

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<v Speaker 8>the current environment with the current conditions and macroheadwinds. We

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<v Speaker 8>think it was an absolutely strong quarter and it was

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<v Speaker 8>a beat and raise, and I think it's a testament

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<v Speaker 8>to the product in the customer base that we have.

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<v Speaker 2>Let's talk about that new annual recurring revenue first year

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<v Speaker 2>every year decline and made what is, of course, as

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<v Speaker 2>you say, challenging macro environment. Is that macro environment improving

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<v Speaker 2>in any way that the perspective you're seeing.

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<v Speaker 4>Is it getting easier in the sales cycle or no.

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<v Speaker 8>Well, it's certainly not getting easier. When we looked at it,

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<v Speaker 8>it remained consistent and consistently challenging. Was it something that

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<v Speaker 8>we talked about the headwinds for the last couple of quarters.

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<v Speaker 8>We didn't see it get better, but we saw it

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<v Speaker 8>remain basically the same. So we'll see what happens for

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<v Speaker 8>the upcoming quarters. And obviously everyone's hoping for some relief

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<v Speaker 8>with interest rates and some of the debt ceiling issues,

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<v Speaker 8>but that remains to be seen.

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<v Speaker 2>What the clients that you're signing at the moment, what

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<v Speaker 2>are they most focused on. I'm pretty sure everyone's thinking

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<v Speaker 2>about general to AI about some of the risks involved

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<v Speaker 2>in cloud, which adoption is still strong there. What is

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<v Speaker 2>the number one priority for the clients that you're currently serving.

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<v Speaker 8>Well, it starts with stopping breaches, which is why I

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<v Speaker 8>built a company, and I certainly believe we're the best

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<v Speaker 8>at and I think our customers would say that. But

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<v Speaker 8>when you put that aside, the number one driver really

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<v Speaker 8>is consolidation. In the current environment, everyone is looking to

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<v Speaker 8>save costs and consolidate, and with a platform that has

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<v Speaker 8>twenty three modules, we can create a very compelling.

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<v Speaker 1>ROI and a payback within the first year.

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<v Speaker 8>But that means is we're taking share from other vendors,

0:10:52.360 --> 0:10:54.719
<v Speaker 8>we're consolidating it onto our platform.

0:10:55.400 --> 0:10:59.200
<v Speaker 3>George, when we spoke at RSA in eight pro AI

0:10:59.360 --> 0:11:02.360
<v Speaker 3>was the buzzway for everyone in your industry, both as

0:11:02.400 --> 0:11:05.640
<v Speaker 3>a tool but also recognizing that threat actors have access

0:11:05.720 --> 0:11:10.079
<v Speaker 3>to the same technology. Now you've got a partnership with AWS.

0:11:10.080 --> 0:11:11.000
<v Speaker 3>How did that come about?

0:11:12.400 --> 0:11:12.559
<v Speaker 6>Well?

0:11:12.559 --> 0:11:14.920
<v Speaker 8>AWS has been a great partner for many many years.

0:11:15.000 --> 0:11:19.000
<v Speaker 8>Are also a customer, and when we looked at what

0:11:19.040 --> 0:11:20.920
<v Speaker 8>we were doing what they were doing with Bedrock, we

0:11:20.960 --> 0:11:23.240
<v Speaker 8>thought it was a great partnership. We protect a lot

0:11:23.240 --> 0:11:26.800
<v Speaker 8>of their customers and their clouds, and when we think

0:11:26.840 --> 0:11:29.120
<v Speaker 8>about AI. You talk about RSA, you know we were

0:11:29.160 --> 0:11:29.600
<v Speaker 8>both there.

0:11:29.640 --> 0:11:30.600
<v Speaker 1>It was all about AI.

0:11:30.960 --> 0:11:35.360
<v Speaker 8>Guess what, Crowdstrike's been doing this since twenty twelve when

0:11:35.360 --> 0:11:37.120
<v Speaker 8>I started the company. That was the bedrock in the

0:11:37.120 --> 0:11:40.560
<v Speaker 8>foundation of why I started it. Now AI has transformed

0:11:40.559 --> 0:11:43.040
<v Speaker 8>over time. You've got Generative AI, which we're excited to

0:11:43.080 --> 0:11:45.800
<v Speaker 8>talk about Charlotte AI and what we're doing in that space.

0:11:45.880 --> 0:11:48.280
<v Speaker 8>But AWS has certainly been a great partner for us,

0:11:48.280 --> 0:11:51.400
<v Speaker 8>and we look forward to advancing that relationship.

0:11:52.040 --> 0:11:55.520
<v Speaker 3>George, what I increasingly hear in the c suite conversations

0:11:55.559 --> 0:11:59.520
<v Speaker 3>I'm having here in Silicon Valley is technical expertise.

0:11:59.000 --> 0:12:00.880
<v Speaker 7>Is the driver within a company?

0:12:02.000 --> 0:12:05.720
<v Speaker 3>Who within your organization was pushing you to basically say,

0:12:05.760 --> 0:12:08.280
<v Speaker 3>what can we do with Amazon? How can we build

0:12:08.280 --> 0:12:11.640
<v Speaker 3>something within bedrock? I want to know how day to

0:12:11.760 --> 0:12:16.840
<v Speaker 3>day a company like CrowdStrike brings llms into their existing offering.

0:12:18.040 --> 0:12:20.480
<v Speaker 8>Well, it's a great question, and the good news is

0:12:20.480 --> 0:12:21.400
<v Speaker 8>there's not a lot of pushing.

0:12:21.440 --> 0:12:23.640
<v Speaker 1>It's actually built into the DNA of the company.

0:12:23.679 --> 0:12:25.840
<v Speaker 8>That's the way we started, That's the way we protect

0:12:25.840 --> 0:12:27.559
<v Speaker 8>against these adversaries using AI.

0:12:27.920 --> 0:12:29.319
<v Speaker 1>When we think about Generative AI.

0:12:29.440 --> 0:12:33.160
<v Speaker 8>We started this project some time ago as m's were

0:12:33.280 --> 0:12:35.959
<v Speaker 8>starting to mature and come to market. So we have

0:12:36.080 --> 0:12:39.120
<v Speaker 8>a group or many groups actually, but we have a

0:12:39.160 --> 0:12:41.600
<v Speaker 8>particular group in Europe. In fact, I was out in

0:12:41.640 --> 0:12:45.480
<v Speaker 8>the office when we launched Charlotte are AI Expertise and

0:12:45.520 --> 0:12:48.040
<v Speaker 8>Center of Excellence, and we basically said, you know, how

0:12:48.040 --> 0:12:49.840
<v Speaker 8>do we do this at scale? How do we partner

0:12:49.880 --> 0:12:53.000
<v Speaker 8>with someone like AWS, and how do we come up

0:12:53.000 --> 0:12:55.720
<v Speaker 8>with the best outcomes for customers? And one of the

0:12:55.720 --> 0:12:57.480
<v Speaker 8>things to keep in mind is you have to have

0:12:57.520 --> 0:13:00.000
<v Speaker 8>the best data set to come out with the best outcome.

0:13:01.280 --> 0:13:04.000
<v Speaker 2>Always great to catch up with George. Thanks, I'm sure

0:13:04.040 --> 0:13:06.839
<v Speaker 2>you're hitting the road soon again. But talking Europe and

0:13:06.880 --> 0:13:09.120
<v Speaker 2>indeed the focus on AI, George Kurts, we thank your

0:13:09.120 --> 0:13:19.040
<v Speaker 2>CrowdStrike CEO. Let's talk about z skater Just what it's

0:13:19.040 --> 0:13:21.920
<v Speaker 2>third quind of results and beta expectations even raising it's

0:13:21.920 --> 0:13:24.640
<v Speaker 2>for your forecast for adjusted earnings shares as you'll see,

0:13:24.720 --> 0:13:26.680
<v Speaker 2>had been performing well today, up seven and a half

0:13:26.679 --> 0:13:28.920
<v Speaker 2>percent over the last couple of trading days. Please to

0:13:28.960 --> 0:13:31.160
<v Speaker 2>say the CEO is with us, Jay Chowdry for more

0:13:31.559 --> 0:13:34.520
<v Speaker 2>and Jay, you're pre released and many seeing that this

0:13:34.600 --> 0:13:37.679
<v Speaker 2>is the solid numbers that They wanted to see what

0:13:37.720 --> 0:13:40.400
<v Speaker 2>are you feeling in terms of macroeconomic headwinds at the moment.

0:13:40.440 --> 0:13:42.520
<v Speaker 2>What are you feeling and hearing from your clients.

0:13:43.800 --> 0:13:47.640
<v Speaker 9>Well, macro conditions are tight, there's a lot of scrutiny,

0:13:48.280 --> 0:13:52.440
<v Speaker 9>but CIOs are still looking for making sure they're doing

0:13:52.600 --> 0:13:56.000
<v Speaker 9>what needs to be done for cybersecurity. But they want

0:13:56.080 --> 0:13:59.880
<v Speaker 9>to do it by having good cost savings, by having

0:14:00.120 --> 0:14:04.439
<v Speaker 9>good ROI. Since we delivered great cybersecurity and we can

0:14:04.480 --> 0:14:07.920
<v Speaker 9>eliminate a lot of point products, the ROI is often strong,

0:14:08.400 --> 0:14:11.600
<v Speaker 9>often about two hundred percent to three hundred percent. That's

0:14:11.679 --> 0:14:13.439
<v Speaker 9>what's giving strength to our business.

0:14:13.600 --> 0:14:16.400
<v Speaker 3>This is a good opportunity for us to work out

0:14:16.480 --> 0:14:19.480
<v Speaker 3>what is going on inside cybersecurity right now. We just

0:14:19.520 --> 0:14:23.040
<v Speaker 3>had George Kurtz on CrowdStrike. His stop folls eleven percent

0:14:24.000 --> 0:14:28.760
<v Speaker 3>because growth is decelerating. Yours seems to be doing your posite.

0:14:28.800 --> 0:14:31.040
<v Speaker 3>You have a lot of government earl of enterprise customers.

0:14:31.400 --> 0:14:33.760
<v Speaker 3>Why is it that you are benefiting from a spend

0:14:33.800 --> 0:14:34.840
<v Speaker 3>on cyber right now?

0:14:35.480 --> 0:14:36.520
<v Speaker 1>What markets do?

0:14:36.600 --> 0:14:37.200
<v Speaker 7>What they do?

0:14:37.800 --> 0:14:40.080
<v Speaker 9>I focus, as one way of putting it, Yeah, I

0:14:40.200 --> 0:14:43.480
<v Speaker 9>focus less on the star price. I focus on building

0:14:43.520 --> 0:14:46.840
<v Speaker 9>great solutions and taking care of our customers. But if

0:14:46.880 --> 0:14:50.600
<v Speaker 9>I were to say, what's helping us is two things. One,

0:14:51.080 --> 0:14:54.960
<v Speaker 9>there are many aspects of cybersecurity. The aspect we deal

0:14:55.040 --> 0:14:59.200
<v Speaker 9>with is implementing zero trust architecture, which is fundamental to

0:14:59.280 --> 0:15:03.200
<v Speaker 9>stop rand somewhere and other very sophisticated attacks.

0:15:03.720 --> 0:15:06.280
<v Speaker 7>But number two, you may be doing a lot.

0:15:06.080 --> 0:15:07.440
<v Speaker 1>Of great cybersecurity.

0:15:08.000 --> 0:15:11.880
<v Speaker 9>If your business case for ROI in cost saving is

0:15:11.920 --> 0:15:15.440
<v Speaker 9>not very strong, your deal gets put on hold.

0:15:15.880 --> 0:15:17.920
<v Speaker 3>I'm going to give Caroline the opportunity to ask you

0:15:17.960 --> 0:15:24.800
<v Speaker 3>about our official intelligence. But okay, ransomware still interests me. Yep,

0:15:24.960 --> 0:15:26.200
<v Speaker 3>Where are the threats coming from?

0:15:26.320 --> 0:15:26.720
<v Speaker 7>Right now?

0:15:26.760 --> 0:15:29.960
<v Speaker 3>It's not been long since RSA and ransomware with a

0:15:29.960 --> 0:15:31.760
<v Speaker 3>big topic of conversation at that summit.

0:15:31.840 --> 0:15:35.480
<v Speaker 9>So where does ransomware come from?

0:15:35.800 --> 0:15:39.960
<v Speaker 7>Yeah? Geographically? State level? What do you saying?

0:15:40.200 --> 0:15:43.000
<v Speaker 9>So there's a lot of state level stuff going on.

0:15:43.640 --> 0:15:46.880
<v Speaker 9>China and Russia are generally in the top two list.

0:15:47.480 --> 0:15:51.440
<v Speaker 9>China driven more by IP and Russia they do a

0:15:51.520 --> 0:15:54.120
<v Speaker 9>whole lot of things, and probably many times it's driven

0:15:54.160 --> 0:15:57.680
<v Speaker 9>by making money though their whole range of groups that

0:15:57.920 --> 0:16:00.400
<v Speaker 9>go after ransomware for making money.

0:16:01.080 --> 0:16:03.560
<v Speaker 2>Can I ask you just your thought as an expert

0:16:03.840 --> 0:16:08.720
<v Speaker 2>clear expert in the field about the credibility the validity

0:16:09.520 --> 0:16:14.280
<v Speaker 2>when Russia and the Russian government accuses well allegations that

0:16:14.320 --> 0:16:17.160
<v Speaker 2>the US has had certain iPhones, particularly of those over

0:16:17.400 --> 0:16:20.720
<v Speaker 2>in Russia, is that something you think bears weight that

0:16:20.760 --> 0:16:23.760
<v Speaker 2>one could assume could have happened, even whether or not

0:16:23.840 --> 0:16:24.240
<v Speaker 2>it did.

0:16:26.280 --> 0:16:31.200
<v Speaker 9>There's a lot of reconnaissance activity happens, and all countries

0:16:31.280 --> 0:16:34.520
<v Speaker 9>do it to a certain degree. It's hard to say

0:16:34.680 --> 0:16:38.280
<v Speaker 9>for sure which of these reports are true, but I

0:16:38.320 --> 0:16:42.160
<v Speaker 9>can tell you that our security research team picks up

0:16:42.160 --> 0:16:44.920
<v Speaker 9>a lot of reconnaissance because at the end of the day,

0:16:45.000 --> 0:16:49.200
<v Speaker 9>this communication going on. Before any major breaches happen, the

0:16:49.320 --> 0:16:55.000
<v Speaker 9>reconnaissance activity starts. We at these like a switchboard. We

0:16:55.040 --> 0:16:58.440
<v Speaker 9>are in the middle of all communications that happens between

0:16:58.520 --> 0:17:01.720
<v Speaker 9>users and applications AE and we often see a lot

0:17:01.760 --> 0:17:04.920
<v Speaker 9>of that. That's how we are able to detect some

0:17:04.960 --> 0:17:08.600
<v Speaker 9>of these early warnings of phishing attacks, fans similar the like.

0:17:09.160 --> 0:17:12.320
<v Speaker 9>We have over three hundred billion requests that go to

0:17:12.400 --> 0:17:15.760
<v Speaker 9>a cloud every day. With such a large volume of data,

0:17:16.080 --> 0:17:18.640
<v Speaker 9>you can pick up stuff. The example I'll give you

0:17:18.800 --> 0:17:22.440
<v Speaker 9>is before nine to eleven, there was a fair amount

0:17:22.440 --> 0:17:26.040
<v Speaker 9>of reconnaissance FBI had a lot of information CI and

0:17:26.119 --> 0:17:30.400
<v Speaker 9>other bodies if they could really correlate lots of telltale signs.

0:17:30.680 --> 0:17:33.639
<v Speaker 9>Since we have such a massive cloud, we have a

0:17:33.680 --> 0:17:38.840
<v Speaker 9>lot of those telltale signs, and now AIML, especially generative AIML,

0:17:39.440 --> 0:17:42.800
<v Speaker 9>is helping us to figure those things out as scale

0:17:43.160 --> 0:17:44.760
<v Speaker 9>and help our customers.

0:17:44.720 --> 0:17:47.760
<v Speaker 3>Generates, ave AIML always the keywords right now in this

0:17:47.840 --> 0:17:50.800
<v Speaker 3>earning season, Z Scale is CEO J. Chowdery, thank you

0:17:50.840 --> 0:17:53.520
<v Speaker 3>so much for your time. Now coming up, Amazon shopping

0:17:53.560 --> 0:17:56.800
<v Speaker 3>around for a partner in order to add wireless services

0:17:56.800 --> 0:17:58.719
<v Speaker 3>to its list of perks for Prime. We can get

0:17:58.760 --> 0:18:00.600
<v Speaker 3>more details on that from one of the reporters that

0:18:00.680 --> 0:18:04.760
<v Speaker 3>broke the story, but watching shares of Meta formerly known

0:18:04.800 --> 0:18:07.000
<v Speaker 3>as Facebook as we head to break social media giant

0:18:07.080 --> 0:18:10.359
<v Speaker 3>asking employees assigned to an office to come in three

0:18:10.440 --> 0:18:13.760
<v Speaker 3>times a week beginning in September that, according to sources,

0:18:14.080 --> 0:18:16.920
<v Speaker 3>joining a clamp down on remote work in the tech

0:18:16.960 --> 0:18:20.480
<v Speaker 3>industry in Caroline. How often are we hearing this three

0:18:20.560 --> 0:18:22.720
<v Speaker 3>days a week the tech sector come back to the

0:18:22.720 --> 0:18:25.440
<v Speaker 3>office having done reductions in workforce.

0:18:26.680 --> 0:18:27.679
<v Speaker 7>Interesting one, isn't it?

0:18:28.200 --> 0:18:30.000
<v Speaker 2>Yeah? It does feel like three is the magic number

0:18:30.000 --> 0:18:31.000
<v Speaker 2>when it comes to technology.

0:18:31.000 --> 0:18:32.400
<v Speaker 4>It's a little bit higher.

0:18:32.160 --> 0:18:34.639
<v Speaker 2>If you're looking across over in Wall Street and some

0:18:34.680 --> 0:18:37.640
<v Speaker 2>of those big financial players wanting four or five days

0:18:37.680 --> 0:18:40.760
<v Speaker 2>a week of face show, but notable.

0:18:40.320 --> 0:18:43.200
<v Speaker 4>That well, even though they've got all their virtual.

0:18:42.920 --> 0:18:46.840
<v Speaker 2>Reality ways of interacting online, they still want people to

0:18:46.880 --> 0:18:48.919
<v Speaker 2>come in and interact in real life too. For San

0:18:48.960 --> 0:19:00.879
<v Speaker 2>Francisco and New York as a Bloomberg welcome back to

0:19:00.920 --> 0:19:03.520
<v Speaker 2>Bloomberg Technology. I'm Caroline Haid in New York and.

0:19:03.440 --> 0:19:05.320
<v Speaker 3>I Med Lovelow in San Francisco. Let's going to check

0:19:05.320 --> 0:19:07.399
<v Speaker 3>in on these markets. So much going on from the

0:19:07.440 --> 0:19:10.520
<v Speaker 3>eco to the news cycle, in particular with looking at

0:19:10.720 --> 0:19:14.399
<v Speaker 3>an equity market that is charging towards a ball market,

0:19:14.560 --> 0:19:19.359
<v Speaker 3>in part driven by relentless outperformance in big tech. Similarly,

0:19:19.400 --> 0:19:22.359
<v Speaker 3>also thinking of course about that hot, hot hot jobs

0:19:22.400 --> 0:19:25.520
<v Speaker 3>number that came in looking at swaps the market saying okay,

0:19:25.600 --> 0:19:29.000
<v Speaker 3>when we think about the FED, then maybe a pause

0:19:29.080 --> 0:19:30.960
<v Speaker 3>or a skip in June, call it what you will,

0:19:31.440 --> 0:19:33.720
<v Speaker 3>and then a hike in July. It now seems possible

0:19:33.760 --> 0:19:36.640
<v Speaker 3>throw into that some of the outperformance of single names

0:19:36.680 --> 0:19:39.560
<v Speaker 3>as well in the marketplace names to the upside, like

0:19:39.680 --> 0:19:41.520
<v Speaker 3>dish on that scoop we're going to get into in

0:19:41.560 --> 0:19:45.000
<v Speaker 3>just a moment to the downside, what we're seeing our

0:19:45.119 --> 0:19:48.200
<v Speaker 3>carriers T Mobile in particular down seven point seven percent,

0:19:48.280 --> 0:19:52.160
<v Speaker 3>biggest drops into March, with twenty twenty Bloomberg News reporting

0:19:52.400 --> 0:19:55.080
<v Speaker 3>according to sources that Amazon is in talks with those

0:19:55.080 --> 0:19:58.600
<v Speaker 3>carriers basically to buy wholesale rates right and start offering

0:19:58.640 --> 0:20:01.960
<v Speaker 3>to Prime customers some sort of wireless offering of its own.

0:20:02.040 --> 0:20:05.480
<v Speaker 3>Let's continue the conversation on that exclusively and Big reporting

0:20:05.800 --> 0:20:08.359
<v Speaker 3>with Matt Day who joins us now, Matt, what are

0:20:08.400 --> 0:20:10.399
<v Speaker 3>the details of what you've reported here? What is it

0:20:10.440 --> 0:20:12.240
<v Speaker 3>that Amazon's actually looking at doing?

0:20:13.040 --> 0:20:15.040
<v Speaker 10>So it looks like Amazon's trying to add what would

0:20:15.040 --> 0:20:17.320
<v Speaker 10>be the biggest perk to Prime in many years, maybe

0:20:17.320 --> 0:20:19.040
<v Speaker 10>since they launched their streaming video service.

0:20:19.840 --> 0:20:20.959
<v Speaker 7>The details that are schedule.

0:20:21.040 --> 0:20:23.120
<v Speaker 10>What we know is they're hoping to add some sort

0:20:23.119 --> 0:20:25.760
<v Speaker 10>of wireless service, maybe free, maybe as cheap as ten

0:20:25.800 --> 0:20:27.920
<v Speaker 10>bucks a month, and offer that as a part of

0:20:27.920 --> 0:20:29.240
<v Speaker 10>the Prime bundle to subscribers.

0:20:29.440 --> 0:20:32.919
<v Speaker 2>And this is all about making Prime even more addictive,

0:20:33.000 --> 0:20:34.960
<v Speaker 2>because is it because of the growth rate slowing? What

0:20:35.000 --> 0:20:37.399
<v Speaker 2>do you think the real causation of this is?

0:20:38.280 --> 0:20:39.199
<v Speaker 7>I think it's a little bit of that.

0:20:39.480 --> 0:20:41.399
<v Speaker 10>It's also a little bit you know, Amazon in this

0:20:41.560 --> 0:20:43.600
<v Speaker 10>era is trying to get costs you know, kind of

0:20:43.600 --> 0:20:46.000
<v Speaker 10>across the board and kind of re emphasize the value

0:20:46.040 --> 0:20:48.040
<v Speaker 10>of their core products. You know, that's online retail, let's

0:20:48.040 --> 0:20:50.840
<v Speaker 10>prime more broadly, so it's not surprising to see them

0:20:50.880 --> 0:20:52.879
<v Speaker 10>looking to a pro way to make a splash, you know,

0:20:52.920 --> 0:20:55.240
<v Speaker 10>with it's really their main retail programming, the way.

0:20:55.160 --> 0:20:56.200
<v Speaker 1>They have in the many, many years.

0:20:59.359 --> 0:21:01.760
<v Speaker 3>I think consideration here in that, as you know, you

0:21:01.800 --> 0:21:03.800
<v Speaker 3>and I talk about this in the context of healthcare,

0:21:04.119 --> 0:21:06.560
<v Speaker 3>in the context of transport, When Amazon moves into a

0:21:06.600 --> 0:21:10.639
<v Speaker 3>new industry, that industry shivers. What is the logic in

0:21:10.680 --> 0:21:12.840
<v Speaker 3>this kind of big negative reaction you see, for example,

0:21:12.880 --> 0:21:14.560
<v Speaker 3>from T Mobile but also Verizon.

0:21:15.320 --> 0:21:17.000
<v Speaker 10>I think the logic is that, you know, in the US,

0:21:17.040 --> 0:21:19.240
<v Speaker 10>the market for wireless service is pretty well carved up

0:21:19.280 --> 0:21:22.399
<v Speaker 10>between three major players in a Hoverizon, T Mobile, and

0:21:22.400 --> 0:21:24.479
<v Speaker 10>AT and T prices are relatively steady.

0:21:24.720 --> 0:21:26.200
<v Speaker 7>The thought is if Amazon.

0:21:25.800 --> 0:21:28.359
<v Speaker 10>Comes in, you know, essentially rents one of those wireless networks,

0:21:28.400 --> 0:21:31.080
<v Speaker 10>then offers to undercut the company that they're dealing with

0:21:31.119 --> 0:21:34.320
<v Speaker 10>them now that means hypothetically less or less revenue for

0:21:34.359 --> 0:21:34.760
<v Speaker 10>the rest.

0:21:34.600 --> 0:21:35.000
<v Speaker 7>Of the table.

0:21:35.480 --> 0:21:39.560
<v Speaker 2>What's interesting, though, is one space Amazon hasn't really managed

0:21:39.560 --> 0:21:44.320
<v Speaker 2>to make headwinders in as hardware, right, Is it ultimately

0:21:44.320 --> 0:21:46.360
<v Speaker 2>going to give up the fact that you know, you'll

0:21:46.400 --> 0:21:49.560
<v Speaker 2>still be using an Apple Phone or a Google Pixel,

0:21:49.760 --> 0:21:51.879
<v Speaker 2>but you'll be using it viar on Amazon carrying service.

0:21:52.840 --> 0:21:53.760
<v Speaker 7>That's certainly impossible.

0:21:53.760 --> 0:21:57.000
<v Speaker 10>And I also, despite Amazon's you know, eye profile failure

0:21:57.080 --> 0:22:00.280
<v Speaker 10>to catch fire with their own firephone, excuse the punouldn't

0:22:00.280 --> 0:22:02.720
<v Speaker 10>count them out as a hardware maker too. There's always

0:22:02.800 --> 0:22:04.400
<v Speaker 10>rumors coming out of Amazon that they might be kicking

0:22:04.440 --> 0:22:05.840
<v Speaker 10>around the idea of bringing.

0:22:05.560 --> 0:22:06.360
<v Speaker 7>Something like that back.

0:22:06.400 --> 0:22:08.080
<v Speaker 10>But yeah, it would be definitely a weird look to

0:22:08.080 --> 0:22:10.679
<v Speaker 10>see somebody, you know, looking up a chix l something

0:22:10.720 --> 0:22:12.960
<v Speaker 10>to do an Amazon wireless And let's.

0:22:12.800 --> 0:22:14.240
<v Speaker 4>Just talk about hardware for a moment.

0:22:14.760 --> 0:22:18.120
<v Speaker 2>Alexa or the data they're in of that particular hardware

0:22:18.359 --> 0:22:22.240
<v Speaker 2>amazing story that also you're on. Thirty thousand Amazon workers.

0:22:21.880 --> 0:22:25.199
<v Speaker 4>Had access to the Alexa data, we understand, that's right.

0:22:25.280 --> 0:22:28.840
<v Speaker 10>Yeah, between twenty eighteen and twenty nineteen, the USFTC says

0:22:28.880 --> 0:22:31.960
<v Speaker 10>thirty thousand people at Amazon could play your voice recordings,

0:22:32.080 --> 0:22:33.879
<v Speaker 10>which seems like an awful lot. And maybe the more

0:22:33.920 --> 0:22:35.919
<v Speaker 10>worrying part is the FTC allege, is that half of

0:22:35.920 --> 0:22:38.000
<v Speaker 10>those folks didn't need access to that for their job.

0:22:38.600 --> 0:22:40.800
<v Speaker 10>Many of those people didn't even work on Alexa products,

0:22:41.080 --> 0:22:43.960
<v Speaker 10>So kind of a worrying indication about Amazon's internal data

0:22:43.960 --> 0:22:46.879
<v Speaker 10>controls on really the most intimate stuff they have about us,

0:22:46.880 --> 0:22:48.000
<v Speaker 10>which is our voice recordings.

0:22:48.840 --> 0:22:50.520
<v Speaker 3>All right, I think it's simply nice Matt Day for

0:22:50.560 --> 0:22:52.520
<v Speaker 3>that reporting out of Seattle.

0:22:54.040 --> 0:22:54.760
<v Speaker 7>Pappa Inc.

0:22:55.200 --> 0:22:58.359
<v Speaker 3>Is a popular eldercare startup that's been pegged as a

0:22:58.400 --> 0:23:02.320
<v Speaker 3>task rabbit for seniors, where contractors provide.

0:23:01.960 --> 0:23:03.480
<v Speaker 7>Home assistance services.

0:23:03.960 --> 0:23:05.600
<v Speaker 3>Think of it as like an Uber or a lyft,

0:23:05.600 --> 0:23:08.240
<v Speaker 3>a gig economy, but in the field of elder care.

0:23:08.359 --> 0:23:12.680
<v Speaker 3>But recent findings from Bloomberg reveal a dark and troubling

0:23:12.760 --> 0:23:15.840
<v Speaker 3>experience for some of its users. Joining me on set

0:23:15.880 --> 0:23:19.359
<v Speaker 3>for more on her story from Bloomberg BusinessWeek is preer

0:23:19.400 --> 0:23:26.760
<v Speaker 3>anand you gave some troubling examples of interaction between contractors

0:23:26.840 --> 0:23:30.480
<v Speaker 3>that were employeed essentially through this app, and the elderly

0:23:30.520 --> 0:23:33.280
<v Speaker 3>they were giving care to. But in the first instance,

0:23:33.320 --> 0:23:36.040
<v Speaker 3>I'd never heard of Papa before. This is a company

0:23:36.080 --> 0:23:37.600
<v Speaker 3>that's raised money at a high valuation.

0:23:37.960 --> 0:23:38.440
<v Speaker 4>That's right.

0:23:38.520 --> 0:23:40.560
<v Speaker 11>You might not have heard of PAPA, but plenty of

0:23:40.600 --> 0:23:44.880
<v Speaker 11>people on Medicare advantage Medicaid have heard of PAPA. Employer

0:23:45.000 --> 0:23:47.400
<v Speaker 11>plans are also offering this as a service, so they're

0:23:47.400 --> 0:23:51.640
<v Speaker 11>employees who are caregivers for their elderly parents. And this

0:23:51.680 --> 0:23:54.680
<v Speaker 11>company has been valued at one point four billion by

0:23:54.760 --> 0:23:59.160
<v Speaker 11>investors including Reddit co founder Alexis o'hannians, South Bank, Tiger Global.

0:23:59.320 --> 0:24:02.400
<v Speaker 11>They've raised two hundred and forty million from investors, and

0:24:02.520 --> 0:24:05.040
<v Speaker 11>they've racked up contracts with some of the largest insurers

0:24:05.040 --> 0:24:07.680
<v Speaker 11>in the country like Signa, Humana, Etna.

0:24:08.280 --> 0:24:12.120
<v Speaker 3>You reported in that BusinessWeek story some of the scale

0:24:12.359 --> 0:24:14.919
<v Speaker 3>of PAPA in terms of revenue, the number of hours

0:24:14.920 --> 0:24:17.120
<v Speaker 3>of care had given some of those facts. By the way,

0:24:17.119 --> 0:24:20.399
<v Speaker 3>the company disputed that didn't give us any up to

0:24:20.520 --> 0:24:24.640
<v Speaker 3>date or other figures. That's to explain in basics how

0:24:24.680 --> 0:24:26.919
<v Speaker 3>PAPA works, what the idea behind it was.

0:24:27.440 --> 0:24:30.800
<v Speaker 11>It essentially brings the gig economy to eldercare. The company

0:24:30.840 --> 0:24:33.120
<v Speaker 11>says that they've created a whole new category of care

0:24:33.200 --> 0:24:36.240
<v Speaker 11>by taking out some of the more nursing related things

0:24:36.280 --> 0:24:38.240
<v Speaker 11>that home health aids normally take care of.

0:24:38.280 --> 0:24:39.760
<v Speaker 4>In a home for an elderly person.

0:24:39.960 --> 0:24:41.800
<v Speaker 11>So let's say you're an elderly person, you don't have

0:24:41.840 --> 0:24:44.160
<v Speaker 11>any help at home. You need help Bernnie Erond's going

0:24:44.200 --> 0:24:47.880
<v Speaker 11>to the grocery store, maybe doing your laundry, folding clothes.

0:24:48.119 --> 0:24:50.760
<v Speaker 11>The idea is you can call someone from Papa. They'll come,

0:24:51.320 --> 0:24:54.120
<v Speaker 11>maybe chat with you, help you feel less lonely, if

0:24:54.119 --> 0:24:57.400
<v Speaker 11>that's a concern of yours, and you get those hours

0:24:57.400 --> 0:24:59.160
<v Speaker 11>for free from your health insurance plan.

0:24:59.240 --> 0:24:59.720
<v Speaker 4>In a lot of.

0:24:59.680 --> 0:25:04.960
<v Speaker 2>Cases, certainly in our particular age range. At the moment,

0:25:05.000 --> 0:25:07.040
<v Speaker 2>I'm fortunate enough to think more about the carers of

0:25:07.080 --> 0:25:10.520
<v Speaker 2>my younger children than my elderly parents. But that fear

0:25:10.560 --> 0:25:13.240
<v Speaker 2>is always within me when I leave my child with

0:25:13.920 --> 0:25:16.679
<v Speaker 2>someone who I haven't met before because I need an

0:25:16.680 --> 0:25:21.440
<v Speaker 2>emergency backup care. Now, the story Prier just heart wrenching.

0:25:21.560 --> 0:25:23.880
<v Speaker 2>Some of these. I mean, was it twelve hundred confidential

0:25:23.920 --> 0:25:26.520
<v Speaker 2>complaint reports logged by Popper over the past four years

0:25:26.560 --> 0:25:30.359
<v Speaker 2>and dozens of allegations, one involving rate that you bring

0:25:30.400 --> 0:25:33.440
<v Speaker 2>to bear. But there's sexual harassment, assault, And actually it's

0:25:33.480 --> 0:25:34.920
<v Speaker 2>not just the pals.

0:25:35.280 --> 0:25:36.639
<v Speaker 4>The people contract is coming in.

0:25:36.680 --> 0:25:39.480
<v Speaker 2>Sometimes it's the pappas, the elderly who are behaving badly too.

0:25:40.359 --> 0:25:42.359
<v Speaker 2>Is this coming down to a lack of control? Is

0:25:42.400 --> 0:25:44.600
<v Speaker 2>this coming down to lack of training?

0:25:44.920 --> 0:25:45.439
<v Speaker 7>What is it?

0:25:45.560 --> 0:25:46.360
<v Speaker 4>From your reporting?

0:25:47.320 --> 0:25:51.439
<v Speaker 11>The company disputed any characterizations that it is lacks on

0:25:51.520 --> 0:25:55.800
<v Speaker 11>safeguards and lacks on safety measures, But our reporting shows

0:25:55.840 --> 0:25:58.760
<v Speaker 11>that their background checks have had incidents far through the

0:25:58.760 --> 0:26:01.800
<v Speaker 11>cracks were someone who's had a conviction has actually been

0:26:01.840 --> 0:26:04.879
<v Speaker 11>able to become an independent contractor through their service and

0:26:04.960 --> 0:26:07.240
<v Speaker 11>visit an elderly person leading to an incident.

0:26:07.720 --> 0:26:09.480
<v Speaker 4>And they say they.

0:26:09.400 --> 0:26:11.200
<v Speaker 11>Do background checks, but at the end of the day,

0:26:11.240 --> 0:26:14.240
<v Speaker 11>the training provided is very little. So for home health

0:26:14.240 --> 0:26:17.679
<v Speaker 11>aa AS Medicare rules require seventy five hours of training,

0:26:17.680 --> 0:26:21.040
<v Speaker 11>but because PAPA strips away the nursing aspect of that,

0:26:21.080 --> 0:26:23.800
<v Speaker 11>there's no bathing, there's no toileting, you're not really supposed

0:26:23.840 --> 0:26:25.360
<v Speaker 11>to touch the person when you go to their home.

0:26:25.400 --> 0:26:29.040
<v Speaker 11>You're supposed to just provide help with household tasks and companionship.

0:26:29.240 --> 0:26:32.080
<v Speaker 11>There aren't any training requirements, and so the company's training

0:26:32.119 --> 0:26:35.399
<v Speaker 11>is essentially a short video that pal's watch and then

0:26:35.400 --> 0:26:36.679
<v Speaker 11>they're able to go to homes.

0:26:37.400 --> 0:26:40.400
<v Speaker 2>And you highlight a lot of those previous workers who

0:26:40.440 --> 0:26:45.359
<v Speaker 2>felt that there were issues with the business. Ultimately, though,

0:26:45.720 --> 0:26:49.720
<v Speaker 2>nursing for the elderly has been woeful in many no.

0:26:49.560 --> 0:26:50.720
<v Speaker 4>Matter what way it served.

0:26:50.760 --> 0:26:52.760
<v Speaker 2>We just think back to the understaffing of nursing homes

0:26:52.800 --> 0:26:55.360
<v Speaker 2>during the pandemic. I mean horrific some of the things

0:26:55.440 --> 0:26:58.720
<v Speaker 2>have happened. Do you think ultimately this is something that

0:26:58.800 --> 0:27:02.560
<v Speaker 2>company is looking to take the financiers the money behind this,

0:27:02.760 --> 0:27:05.600
<v Speaker 2>ensuring that this is a business that tackles these problems

0:27:05.640 --> 0:27:08.880
<v Speaker 2>and can ultimately solves a really big problem for many families.

0:27:09.920 --> 0:27:11.040
<v Speaker 4>The company says.

0:27:10.800 --> 0:27:14.240
<v Speaker 11>It takes safety very seriously and that safety related complaints

0:27:14.240 --> 0:27:16.760
<v Speaker 11>from both the elderly members who rely on Poppy and

0:27:16.840 --> 0:27:19.680
<v Speaker 11>its workers account for less than one percent of incidents.

0:27:19.840 --> 0:27:22.680
<v Speaker 11>But we did find in our reporting reviewing, as you mentioned,

0:27:22.720 --> 0:27:25.879
<v Speaker 11>more than twelve hundred complaints court records, that there have

0:27:25.960 --> 0:27:29.879
<v Speaker 11>been instances when those measures have still things have fallen

0:27:29.880 --> 0:27:33.439
<v Speaker 11>through the cracks, incidents have occurred, and things that have

0:27:33.560 --> 0:27:36.480
<v Speaker 11>occurred in some cases on a repeat basis, harassment on

0:27:36.520 --> 0:27:39.400
<v Speaker 11>both sides. Because the company has shared direct phone numbers,

0:27:40.080 --> 0:27:43.200
<v Speaker 11>We've found a number of incidents where there were repeat

0:27:43.200 --> 0:27:47.159
<v Speaker 11>occurrences and seemingly incidents that if someone had noticed a

0:27:47.200 --> 0:27:49.240
<v Speaker 11>prior conviction may have been preventable.

0:27:50.000 --> 0:27:50.720
<v Speaker 4>Of course we have.

0:27:51.359 --> 0:27:55.640
<v Speaker 2>You have requested interviews from the CEO, Andrew Parker, and

0:27:55.680 --> 0:27:59.159
<v Speaker 2>from the investors, and in large part they've declined to

0:27:59.160 --> 0:28:01.800
<v Speaker 2>comment thus far. But prier and thank you very much

0:28:01.840 --> 0:28:08.520
<v Speaker 2>indeed for bringing us what is an extraordinary story on BusinessWeek.

0:28:13.880 --> 0:28:17.040
<v Speaker 3>Early door Dashbacker Pair VC is closed a new four

0:28:17.119 --> 0:28:20.680
<v Speaker 3>hundred and thirty two million dollar fund for early stage investing.

0:28:20.720 --> 0:28:24.280
<v Speaker 3>The firm's fourth fund will continue pairs generalist strategy of

0:28:24.440 --> 0:28:28.960
<v Speaker 3>investing across sectors including life sciences, healthcare, consumer climate, and

0:28:29.080 --> 0:28:33.760
<v Speaker 3>artificial intelligence. Of course, Mar Hirschinson is Pairs founding managing partner.

0:28:33.800 --> 0:28:35.160
<v Speaker 7>Joins me now and set in San Francisco.

0:28:35.240 --> 0:28:38.800
<v Speaker 3>Four hundred and thirty two million dollars early stage. Are

0:28:38.800 --> 0:28:41.360
<v Speaker 3>you going to be writing a lot of checks or

0:28:41.360 --> 0:28:42.520
<v Speaker 3>a check's getting bigger?

0:28:43.200 --> 0:28:44.720
<v Speaker 4>I think it's a combination of both.

0:28:45.200 --> 0:28:48.080
<v Speaker 12>The checks have been getting bigger over the last five years.

0:28:48.320 --> 0:28:51.080
<v Speaker 12>And we've also grown our investment team from two people

0:28:51.400 --> 0:28:53.760
<v Speaker 12>two years ago, I mean ten years ago to now

0:28:53.800 --> 0:28:55.479
<v Speaker 12>twelve people in our investment team.

0:28:55.680 --> 0:28:59.360
<v Speaker 3>It's a broad range of target industries. I actually wonder

0:28:59.360 --> 0:29:02.760
<v Speaker 3>how much of that is in the physical world versus software.

0:29:03.320 --> 0:29:04.360
<v Speaker 4>Most of it is software.

0:29:05.200 --> 0:29:07.920
<v Speaker 12>You know, we're very you know focused on business at scale,

0:29:08.240 --> 0:29:09.840
<v Speaker 12>and a lot of that you know, has to do

0:29:09.960 --> 0:29:13.560
<v Speaker 12>with software, although we do have some you know, semiconductor

0:29:13.600 --> 0:29:16.120
<v Speaker 12>beds you know that are more in the physical world.

0:29:16.880 --> 0:29:20.040
<v Speaker 2>Well, what's fascinating about the companies you've chosen to back

0:29:20.640 --> 0:29:23.840
<v Speaker 2>is the diversity of their leadership. A lot of female founders,

0:29:23.880 --> 0:29:27.560
<v Speaker 2>diverse founders. Are There still a lot of companies being

0:29:27.600 --> 0:29:30.000
<v Speaker 2>grown by diverse founders at the moment, because we know

0:29:30.200 --> 0:29:33.240
<v Speaker 2>that when Silicon Valley Bank pulled back, when ultimately the

0:29:33.800 --> 0:29:37.200
<v Speaker 2>economy pulled back, it's been harder for diverse founders to

0:29:37.280 --> 0:29:37.880
<v Speaker 2>raise funds.

0:29:39.360 --> 0:29:42.400
<v Speaker 12>I think diverse founders are you know, we have like

0:29:42.560 --> 0:29:46.880
<v Speaker 12>a forty one percent of our portfolios female founders, and

0:29:47.320 --> 0:29:50.800
<v Speaker 12>they are amazing entrepreneurs. I think they need a little

0:29:50.840 --> 0:29:54.160
<v Speaker 12>big bit more of a nudge to move to move

0:29:54.160 --> 0:29:55.480
<v Speaker 12>ahead with their fundraising.

0:29:55.920 --> 0:29:57.840
<v Speaker 4>But they've been you know, they are.

0:29:57.960 --> 0:30:01.400
<v Speaker 12>Even within the downturn, it's muchas you know, it's much

0:30:01.400 --> 0:30:03.960
<v Speaker 12>better right now than when I got started thirty years ago,

0:30:04.200 --> 0:30:06.040
<v Speaker 12>almost for diverse founders.

0:30:06.040 --> 0:30:08.760
<v Speaker 2>So it's all relative, right, and there speaks the fact

0:30:08.800 --> 0:30:11.960
<v Speaker 2>that you have founder experience, both you and your co founder.

0:30:12.040 --> 0:30:14.680
<v Speaker 2>That was sort of your emo, the dive, the way

0:30:14.680 --> 0:30:15.920
<v Speaker 2>in which you stood.

0:30:15.600 --> 0:30:18.840
<v Speaker 4>Out from the crowd. How are you nudging.

0:30:18.800 --> 0:30:21.360
<v Speaker 2>Your own founders right now, particularly in the world of AI.

0:30:21.560 --> 0:30:23.880
<v Speaker 2>How are you ensuring the your portfolio companies you already have,

0:30:24.240 --> 0:30:25.920
<v Speaker 2>are insuring they're not going to get disrupted, that their

0:30:25.960 --> 0:30:26.880
<v Speaker 2>lunch isn't gonna be eaten.

0:30:28.320 --> 0:30:31.640
<v Speaker 12>Yeah, you know, I think the message that for founders,

0:30:31.680 --> 0:30:34.440
<v Speaker 12>no matter what, it's always like focused on the metrics

0:30:34.440 --> 0:30:38.320
<v Speaker 12>that matter, work really hard to achieve those and forget

0:30:38.320 --> 0:30:38.720
<v Speaker 12>the noise.

0:30:38.760 --> 0:30:39.640
<v Speaker 4>It's the same in AI.

0:30:40.560 --> 0:30:43.440
<v Speaker 12>You know, we've been in the valley for like I said,

0:30:43.440 --> 0:30:46.840
<v Speaker 12>almost thirty years. So I saw the Web one, the

0:30:46.840 --> 0:30:51.720
<v Speaker 12>Web Revolution, mobile, and now AI. It's almost the same dynamics.

0:30:51.880 --> 0:30:54.760
<v Speaker 12>Right Initially there's going to be a lot of noise

0:30:54.800 --> 0:30:57.840
<v Speaker 12>and excitement and eventually there's going to be some massive

0:30:58.280 --> 0:31:01.760
<v Speaker 12>companies that will be created. So we are telling our

0:31:01.760 --> 0:31:03.959
<v Speaker 12>founders to keep their eyes on the ball, you know,

0:31:04.080 --> 0:31:06.760
<v Speaker 12>on those long term wins, not on the short term wins.

0:31:06.800 --> 0:31:09.920
<v Speaker 7>You raises the question of how quickly you raise the funds?

0:31:10.360 --> 0:31:12.040
<v Speaker 7>Was AI always your goal?

0:31:12.200 --> 0:31:15.760
<v Speaker 3>Did you have to pivot take advantage of LP interest.

0:31:16.560 --> 0:31:17.240
<v Speaker 7>Do you see what I mean?

0:31:17.360 --> 0:31:18.520
<v Speaker 4>Yeah, No, no, not at all.

0:31:18.640 --> 0:31:20.640
<v Speaker 12>You know, I think we're a general is fun the

0:31:20.680 --> 0:31:22.880
<v Speaker 12>same we do AI. It's just some part of what

0:31:22.920 --> 0:31:25.520
<v Speaker 12>we do. Right, there's a lot of life sciences, healthcare,

0:31:25.560 --> 0:31:27.520
<v Speaker 12>et cetera. But I want to make a point that

0:31:27.600 --> 0:31:32.240
<v Speaker 12>AI is truly a horizontal technology, meaning that it can

0:31:32.280 --> 0:31:35.360
<v Speaker 12>be it's going to be applied to all industries. It's

0:31:35.360 --> 0:31:37.800
<v Speaker 12>almost like, you know, you couldn't be a company and

0:31:37.880 --> 0:31:41.720
<v Speaker 12>not have a web presence or a mobile strategy, et cetera.

0:31:41.880 --> 0:31:44.600
<v Speaker 12>Same with any industry that we're going into. So for

0:31:44.720 --> 0:31:48.440
<v Speaker 12>our existing founders that are you know that perhaps started

0:31:48.440 --> 0:31:52.400
<v Speaker 12>the company before chat GPT, which is when the population

0:31:53.280 --> 0:31:57.120
<v Speaker 12>became aware of AI, we're telling them, hey, there's new technology.

0:31:57.400 --> 0:32:00.600
<v Speaker 4>You should be adopting this as we go. And same

0:32:00.640 --> 0:32:01.120
<v Speaker 4>with al peace.

0:32:01.160 --> 0:32:03.600
<v Speaker 12>I mean, our job is to be you know, give

0:32:03.640 --> 0:32:06.120
<v Speaker 12>the right advice or current porfoli and be ahead of

0:32:06.160 --> 0:32:06.680
<v Speaker 12>what's coming.

0:32:06.760 --> 0:32:09.840
<v Speaker 3>Right, So, so all temper expectations right there, there is

0:32:09.960 --> 0:32:13.120
<v Speaker 3>sort of enough impetus. I mean, you call yourselves generalists.

0:32:13.480 --> 0:32:17.120
<v Speaker 3>Think about life science, is climate and arsfisial intelligence? What

0:32:17.200 --> 0:32:20.920
<v Speaker 3>about the inbound are you receiving many more pitches from

0:32:20.960 --> 0:32:21.800
<v Speaker 3>AI than others.

0:32:21.800 --> 0:32:23.520
<v Speaker 4>Absolutely, it has changed dramatically.

0:32:23.560 --> 0:32:25.960
<v Speaker 12>I mean you could say even twelve months ago or

0:32:26.000 --> 0:32:28.760
<v Speaker 12>eighteen months ago, the volume of inbound from crypto was

0:32:28.800 --> 0:32:29.560
<v Speaker 12>really really high.

0:32:29.640 --> 0:32:31.200
<v Speaker 4>That's almost gone down to zero.

0:32:31.600 --> 0:32:35.280
<v Speaker 12>And today you know the inbound from AI is very high.

0:32:35.320 --> 0:32:38.720
<v Speaker 12>So it's climate, right, is what founders care about. I

0:32:38.760 --> 0:32:42.720
<v Speaker 12>do think you know this AI? Like I was mentioning,

0:32:43.040 --> 0:32:46.320
<v Speaker 12>if you started any software company today as a founder,

0:32:47.200 --> 0:32:49.160
<v Speaker 12>you would probably be thinking about how do I incorporate

0:32:49.160 --> 0:32:52.000
<v Speaker 12>AI into my company? So whether you know when when

0:32:52.040 --> 0:32:54.560
<v Speaker 12>you're at the application layer, we're going to keep seeing.

0:32:54.280 --> 0:32:56.040
<v Speaker 4>More and more of this AI companies.

0:32:56.560 --> 0:32:59.520
<v Speaker 2>Not wishing to for you to give away your secret source, mom,

0:32:59.600 --> 0:33:03.840
<v Speaker 2>but the founders you find, how are you searching that?

0:33:03.960 --> 0:33:06.480
<v Speaker 2>I know you go to dorms, you've caught sort of

0:33:06.160 --> 0:33:09.280
<v Speaker 2>the way in which you get students on board. But

0:33:09.720 --> 0:33:12.960
<v Speaker 2>where geographically are these founders? You come from Spain, you're

0:33:13.000 --> 0:33:16.040
<v Speaker 2>the co founder originally coming from Iran as well. How

0:33:16.720 --> 0:33:19.640
<v Speaker 2>you diversifying the kind of people that you're managing to

0:33:19.640 --> 0:33:20.760
<v Speaker 2>find to build these companies?

0:33:21.520 --> 0:33:25.720
<v Speaker 12>Yeah, we have various I mean I think sourcing or

0:33:25.760 --> 0:33:29.960
<v Speaker 12>finding the right founders and venture is very intentional, so

0:33:30.000 --> 0:33:32.080
<v Speaker 12>we have We're not sitting in a chair waiting for

0:33:32.120 --> 0:33:34.240
<v Speaker 12>people to show up with this inbounds. You know, we're

0:33:34.280 --> 0:33:37.880
<v Speaker 12>out there trying to find them. We run multiple programs,

0:33:38.440 --> 0:33:42.680
<v Speaker 12>perhaps storm of our most well known programs are Pair Dorm,

0:33:43.120 --> 0:33:46.000
<v Speaker 12>which is where we spend a lot of time in

0:33:46.200 --> 0:33:52.000
<v Speaker 12>universities trying to find those great, high potential founders that

0:33:52.040 --> 0:33:54.360
<v Speaker 12>can go off and start companies. Forty percent of our

0:33:54.400 --> 0:33:57.560
<v Speaker 12>portfolio will come from those founders. And this is a

0:33:57.720 --> 0:33:59.880
<v Speaker 12>you know, this is how pair started. You know, it's

0:34:00.160 --> 0:34:02.760
<v Speaker 12>not it was not immediately obvious ten years ago.

0:34:02.840 --> 0:34:03.560
<v Speaker 4>They should be able.

0:34:03.760 --> 0:34:06.440
<v Speaker 12>You should actually build a firm and go on proactively

0:34:06.480 --> 0:34:09.640
<v Speaker 12>source those kinds of founders. In the last couple of years,

0:34:09.719 --> 0:34:13.680
<v Speaker 12>we've put together a program targeting female engineers. It's called

0:34:13.680 --> 0:34:18.600
<v Speaker 12>Female Founder Circles. Has actually been extremely successful, where you know,

0:34:18.680 --> 0:34:23.640
<v Speaker 12>we form community for female engineers that before they're out

0:34:23.680 --> 0:34:27.600
<v Speaker 12>there starting their company. We've done four cohorts and within

0:34:27.640 --> 0:34:30.520
<v Speaker 12>the first three cohorts, out of one hundred and five women,

0:34:30.640 --> 0:34:34.600
<v Speaker 12>we've had nearly sixty companies come up with that have

0:34:34.719 --> 0:34:36.120
<v Speaker 12>raised significancy.

0:34:36.480 --> 0:34:39.319
<v Speaker 3>So that's you know, I do want your secret source.

0:34:39.360 --> 0:34:40.960
<v Speaker 3>I'm sorry, I want you to talk about it right now.

0:34:41.000 --> 0:34:43.880
<v Speaker 3>So you invested in DoorDash early, DoorDash was a success.

0:34:44.080 --> 0:34:45.399
<v Speaker 7>How did you identify them?

0:34:45.800 --> 0:34:48.840
<v Speaker 12>Well, you know, I think the DoorDash story is really interesting.

0:34:48.840 --> 0:34:52.880
<v Speaker 12>It's part of our how Pair works. My partner Pesman

0:34:52.920 --> 0:34:56.000
<v Speaker 12>and I started Pair. We're both very different ying and Yang.

0:34:56.040 --> 0:34:57.920
<v Speaker 12>He had been an angel for many years. I was

0:34:57.960 --> 0:35:02.120
<v Speaker 12>an operator, and we came together to actually uh form Pair,

0:35:02.160 --> 0:35:03.840
<v Speaker 12>which is more than an investment.

0:35:03.880 --> 0:35:05.320
<v Speaker 4>We're helping to build companies.

0:35:05.640 --> 0:35:09.359
<v Speaker 12>Peschemont met Tony and reached out to me and said,

0:35:09.360 --> 0:35:10.520
<v Speaker 12>mar I met this founder.

0:35:10.560 --> 0:35:13.239
<v Speaker 4>He's amazing. We should back him. And I said, what

0:35:13.280 --> 0:35:16.480
<v Speaker 4>does he do? Uh? He said, uh, food delivery. I said,

0:35:16.480 --> 0:35:19.040
<v Speaker 4>oh my gosh, not food delivery. That's a really.

0:35:19.080 --> 0:35:20.880
<v Speaker 12>Complex, highly operational business.

0:35:20.880 --> 0:35:22.560
<v Speaker 4>We're not gonna do that. He said, no, no, no, you

0:35:22.600 --> 0:35:23.480
<v Speaker 4>have to meet him.

0:35:23.600 --> 0:35:27.400
<v Speaker 12>So I actually spent a lot of time diligencing the company,

0:35:27.520 --> 0:35:30.960
<v Speaker 12>walking up and down University Avenue and talking to every

0:35:31.920 --> 0:35:35.759
<v Speaker 12>restaurant owner or manager and asking them why and uh,

0:35:35.840 --> 0:35:37.120
<v Speaker 12>you know, a lot of what they said is, oh

0:35:37.160 --> 0:35:40.000
<v Speaker 12>my gosh, he's changed my business, and Tony's amazing. And

0:35:40.360 --> 0:35:43.279
<v Speaker 12>then Peschma and I spent a couple of hours with

0:35:43.520 --> 0:35:47.759
<v Speaker 12>the whole founding team, and Tony was actually perhaps the

0:35:47.760 --> 0:35:49.960
<v Speaker 12>only CEO that instead of slides, he just goes to

0:35:49.960 --> 0:35:51.759
<v Speaker 12>a whiteboard and tells you why this is gonna be

0:35:51.760 --> 0:35:55.200
<v Speaker 12>a great company. And he said it was not gonna

0:35:55.200 --> 0:35:57.520
<v Speaker 12>be a food delivery company. He was building the largest

0:35:57.560 --> 0:36:01.080
<v Speaker 12>last mile delivery company. So even then, early on he

0:36:01.120 --> 0:36:03.480
<v Speaker 12>had a vision that wasn't clear, and that was super

0:36:03.520 --> 0:36:04.920
<v Speaker 12>clear for him.

0:36:05.160 --> 0:36:07.759
<v Speaker 2>Mah, great hearing some of the secret sauce and the

0:36:07.800 --> 0:36:10.080
<v Speaker 2>way in which did you do diligence. Thank you so much,

0:36:10.400 --> 0:36:20.879
<v Speaker 2>mar Hujinson of pair VC. Time now for talking tech.

0:36:20.920 --> 0:36:25.320
<v Speaker 2>First up, Russia accusing the United States intelligence hacking thousands

0:36:25.360 --> 0:36:28.520
<v Speaker 2>of iPhones, including devices belonging to Russian nationals and others

0:36:28.640 --> 0:36:31.800
<v Speaker 2>linked to diplomatic missions and embassies in the country. Russia's

0:36:31.840 --> 0:36:35.000
<v Speaker 2>main security service was scant on details and didn't identify

0:36:35.040 --> 0:36:40.279
<v Speaker 2>which US intelligence agency was actually behind the alleged attacks. Meanwhile, look,

0:36:40.280 --> 0:36:42.440
<v Speaker 2>it's a bit of a revolving door again. Over at Twitter,

0:36:42.480 --> 0:36:45.080
<v Speaker 2>the Twitter executive in charge of content moderation and policy

0:36:45.480 --> 0:36:46.160
<v Speaker 2>has resigned.

0:36:46.480 --> 0:36:47.120
<v Speaker 4>Ella Erlin.

0:36:47.320 --> 0:36:49.919
<v Speaker 2>Erwin was one of Musk's most loyal employees and helped

0:36:49.960 --> 0:36:52.680
<v Speaker 2>oversee Twitter's policies on harassment, on hate, on speech, and

0:36:53.600 --> 0:36:57.160
<v Speaker 2>violent content. Now Erwin confirmed her departure in an email

0:36:57.600 --> 0:36:59.960
<v Speaker 2>earlier this hour. In fact, Wall Street Journal also reported

0:37:00.120 --> 0:37:02.840
<v Speaker 2>twhich is a head of brand safety as Aj Brown,

0:37:03.120 --> 0:37:07.239
<v Speaker 2>also departing. Plus, Apple is working on plans to expand

0:37:07.280 --> 0:37:09.960
<v Speaker 2>and revitalize its retail chain. The company is aiming to

0:37:09.960 --> 0:37:12.480
<v Speaker 2>push deeper into China and other parts of Asia, while

0:37:12.480 --> 0:37:14.640
<v Speaker 2>overhauling established locations in the US and Europe.

0:37:14.880 --> 0:37:17.280
<v Speaker 4>Now Iva maker aims to add about fifty.

0:37:17.000 --> 0:37:20.560
<v Speaker 2>New or rebuilt stores through twenty twenty seven, including locations

0:37:20.560 --> 0:37:22.000
<v Speaker 2>in Shanghai and in London.

0:37:22.719 --> 0:37:26.600
<v Speaker 3>Ed Let's stick with Apple, Caro. The Bloomberg Mark German

0:37:26.680 --> 0:37:30.680
<v Speaker 3>preview of Apple WWDC is out on the Bloomberg website

0:37:30.680 --> 0:37:32.520
<v Speaker 3>in term or let's bring in Mark German for more.

0:37:32.920 --> 0:37:33.720
<v Speaker 7>Top of the list.

0:37:33.840 --> 0:37:37.160
<v Speaker 3>The highlight of WWDC the mixed reality headset.

0:37:37.200 --> 0:37:40.640
<v Speaker 7>What are we expecting? Ed Caroline, thank you for having me.

0:37:40.719 --> 0:37:41.120
<v Speaker 4>That's right.

0:37:41.280 --> 0:37:43.600
<v Speaker 13>So on Monday, June fifth, this is going to be

0:37:43.800 --> 0:37:47.719
<v Speaker 13>Apple's biggest launch event in about a decade since they launched.

0:37:47.360 --> 0:37:48.120
<v Speaker 7>The Apple Watch.

0:37:48.120 --> 0:37:51.880
<v Speaker 13>In the first large stream iPhones, the entree like you

0:37:51.920 --> 0:37:54.880
<v Speaker 13>said for Monday, a mixed reality headset, likely to be

0:37:54.960 --> 0:37:58.160
<v Speaker 13>called the Reality Pro or the Apple XR Pro. This

0:37:58.280 --> 0:38:01.879
<v Speaker 13>is going to be Apple's new product category. They think

0:38:01.920 --> 0:38:03.960
<v Speaker 13>it's going to start off slow but eventually become a

0:38:04.040 --> 0:38:07.360
<v Speaker 13>hit with consumers and really be the future of the computer.

0:38:07.880 --> 0:38:08.480
<v Speaker 7>It's going to.

0:38:08.440 --> 0:38:12.239
<v Speaker 13>Blend augmented reality and virtual reality. It'll let you do

0:38:12.520 --> 0:38:14.960
<v Speaker 13>everything you do today on an iPad or iPhone or

0:38:14.960 --> 0:38:17.719
<v Speaker 13>a Mac in three D. You'll control it all with

0:38:17.840 --> 0:38:20.640
<v Speaker 13>your face, your eyes, in your hands, and it's really

0:38:20.640 --> 0:38:22.720
<v Speaker 13>going to give Meta and some of the other headset

0:38:22.719 --> 0:38:26.360
<v Speaker 13>makers like HCC a huge run for their money. Apple

0:38:26.400 --> 0:38:29.080
<v Speaker 13>believes the category doesn't really exist today and they're going

0:38:29.080 --> 0:38:32.239
<v Speaker 13>to be creating the mixed reality category. And I tend

0:38:32.320 --> 0:38:33.080
<v Speaker 13>to believe in this.

0:38:33.000 --> 0:38:36.000
<v Speaker 2>Product, okay, and a lot of your stories dedicated to it.

0:38:36.040 --> 0:38:37.360
<v Speaker 4>We've got thirty seconds, mark.

0:38:37.440 --> 0:38:39.200
<v Speaker 2>What else do you do you mind about?

0:38:39.239 --> 0:38:41.640
<v Speaker 4>That's going to go on? Yeah, I'll give you the

0:38:41.680 --> 0:38:42.400
<v Speaker 4>other highlights.

0:38:42.520 --> 0:38:46.160
<v Speaker 13>One Mac two software, so the Mac you'll see new

0:38:46.239 --> 0:38:48.719
<v Speaker 13>high end max studios of the new M two Ultra chip.

0:38:49.000 --> 0:38:51.120
<v Speaker 13>They've also been planning to unveil the new MacBook Air

0:38:51.160 --> 0:38:54.680
<v Speaker 13>fifteen inch. There software side big revamp to watch os,

0:38:54.760 --> 0:38:58.640
<v Speaker 13>the Apple Watch software with widgets, iOS seventeen, iPadOS seventeen

0:38:58.719 --> 0:38:59.840
<v Speaker 13>and new Mac software.

0:39:00.080 --> 0:39:02.759
<v Speaker 2>He did it, he always does, Mark German from Bloomberg.

0:39:02.800 --> 0:39:05.439
<v Speaker 2>And you know we're not going to end the conversation here, Mark,

0:39:05.480 --> 0:39:08.320
<v Speaker 2>We're going to be jumping on Twitter spaces with Mark German,

0:39:08.440 --> 0:39:10.759
<v Speaker 2>myself and Ed. That's happening in half an hour's time,

0:39:10.840 --> 0:39:12.520
<v Speaker 2>so tune in for that. But meanwhile, that does it

0:39:12.520 --> 0:39:15.600
<v Speaker 2>for this edition of Bloomberg Technology. We've got our podcast

0:39:15.640 --> 0:39:17.719
<v Speaker 2>to catch up if we've missed it. From New York,

0:39:17.880 --> 0:39:19.520
<v Speaker 2>from San Francisco, this is Bloomberg