WEBVTT - WeWork Withdraws IPO, Repo Strains, AI in Hiring

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<v Speaker 1>Welcome to the Bloomberg PENL podcast. I'm Paul swing you

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<v Speaker 1>along with my co host Lisa Brahma Waits. Each day

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<v Speaker 1>we bring you the most noteworthy and useful interviews for

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<v Speaker 1>you and your money. Whether at the grocery store or

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<v Speaker 1>the trading floor. Find a Bloomberg Penl podcast on Apple

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<v Speaker 1>podcast or wherever you listen to podcasts, as well as

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<v Speaker 1>at Bloomberg dot com. We want to stick with we

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<v Speaker 1>work withdrawing its initial public offering perspectives. After a tumultuous month,

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<v Speaker 1>we are seeing some movement in the bonds going lower

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<v Speaker 1>now at their lowest levels. Wow, at eight seven cents

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<v Speaker 1>uh and a quarter uh per on the dollar. And this,

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<v Speaker 1>you know, comes at a time when borrowing casts are

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<v Speaker 1>supposedly lower. Not for we work joining us nationally, boss

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<v Speaker 1>who covers all things up finance for us here at Bloomberg.

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<v Speaker 1>I'm wondering this doesn't come as a surprise. No, no,

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<v Speaker 1>I mean this is this is something that's been known exactly,

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<v Speaker 1>so it's not a shocker, right. I mean that they

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<v Speaker 1>were going to delay their I p O. The question

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<v Speaker 1>that's looming over everyone's minds two things is when will

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<v Speaker 1>this happen, Will it ever happen? And how are they

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<v Speaker 1>going to raise money without a happening? So what is

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<v Speaker 1>the thinking here? Because I know that they had a

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<v Speaker 1>big debt financing that was gonna was contingent upon them

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<v Speaker 1>going public, that obviously is not going to happen. And

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<v Speaker 1>is Leasa's point out earlier they are going to need

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<v Speaker 1>cash in the relative near term? Is there a plan

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<v Speaker 1>out there for this company? So right now they're in

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<v Speaker 1>talks for multiple things potentially happening here. H soft Bank

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<v Speaker 1>may make another equity injection, but with the ft actually

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<v Speaker 1>reporting that it could be more than a billion dollars,

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<v Speaker 1>I mean that that is huge. Remember, the interesting thing

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<v Speaker 1>about soft Bank making another injection is we're waiting right

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<v Speaker 1>now on whether soft Bank is going to write down

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<v Speaker 1>the stake of their we Work investment. And soft Bank

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<v Speaker 1>is already bleeding right now from a lot of different

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<v Speaker 1>investments that are that are troubled right now. Just to

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<v Speaker 1>put this in a perspective, when Jefferies took a write

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<v Speaker 1>down on their we Work stake of less than one percent,

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<v Speaker 1>it was over a hundred million dollars. And so the

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<v Speaker 1>we Work right down with the stake of almost maybe

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<v Speaker 1>a little more. When you count how much they have

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<v Speaker 1>in UM convertible shares, it could be very significant. So

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<v Speaker 1>how are they going to make another equity injection when

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<v Speaker 1>they're already writing down their existing stake? Could be really

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<v Speaker 1>interesting tension. Another interesting tension is what's going on in

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<v Speaker 1>the C suite at JP Morgan, which I believe was

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<v Speaker 1>going to be the lead banker on the I p OH.

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<v Speaker 1>How big of a liability is this for them? So

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<v Speaker 1>think about how many aspects they have connections to we work, right,

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<v Speaker 1>they have the it's it's something like a margin loan.

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<v Speaker 1>So Adam Newman took out a loan based on his

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<v Speaker 1>his stock hundreds of millions of dollars led by JP Morgan.

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<v Speaker 1>JP Morgan also is responsible for the mortgages for Adam

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<v Speaker 1>Newman's own homes. They also have exposure to a lot

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<v Speaker 1>of the buildings that we work as exposed to and

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<v Speaker 1>so they have some and that's on top of helping

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<v Speaker 1>lead this loan as well as the I p O

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<v Speaker 1>that's not happening. So those are fees you're not going

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<v Speaker 1>to see for J P. Morgan in their upcoming earnings

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<v Speaker 1>report because the I p O obviously never happened. But

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<v Speaker 1>then you also have to wonder how these other moving

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<v Speaker 1>parts affects JP Morgan. Their own investors are also invested

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<v Speaker 1>in early we Work stock. Some of those investors have

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<v Speaker 1>told me that they're not thrilled with the right ups

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<v Speaker 1>and the right downs that maybe UM embedded in JP

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<v Speaker 1>Morgan funds that have we Work shares in them. So

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<v Speaker 1>brought it out from JP Morgan and we work here.

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<v Speaker 1>I mean, there's been a lot of big disappointing deals

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<v Speaker 1>here in twenty nine Uber Lift and just on and

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<v Speaker 1>on the list goes. And this was supposed to be

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<v Speaker 1>the year when the bankers got fat and happy and

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<v Speaker 1>I PO investors got fat and happy. It hasn't worked

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<v Speaker 1>out that way. Has there been any meaningful pushback on

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<v Speaker 1>the bankers and saying, you guys just haven't done a

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<v Speaker 1>very good job this year. Totally, so get this. Tomorrow

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<v Speaker 1>is the day in Silicon Valley that all the big

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<v Speaker 1>venture capitalists will be meeting, and the bankers are not

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<v Speaker 1>invited because they are looking to change the I p

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<v Speaker 1>O model as we know it. They don't like the

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<v Speaker 1>initial pop that got in an I p O and

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<v Speaker 1>they certainly don't like the first day fall you get

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<v Speaker 1>lately with Smile Direct, Club and and Peloton were two

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<v Speaker 1>of the very rare companies to fall on their first

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<v Speaker 1>day of trading that are that big and raise how

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<v Speaker 1>much money? How much is the banker's fault? How much

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<v Speaker 1>is the venture capitalists fault for valuing these companies as

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<v Speaker 1>highly as they have? Well, if you talk to the

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<v Speaker 1>ventral capitalists, what they're gonna do is they're going to

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<v Speaker 1>deflect the responsibility not just away from the venture capitalists,

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<v Speaker 1>but over to soft Bank, which has been really inflating

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<v Speaker 1>some of these um silicon value valuations. And you know,

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<v Speaker 1>there's a lot of people that say a lot of

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<v Speaker 1>these new big fundraisers we're seeing is in response to

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<v Speaker 1>soft Bank really changing the dynamics of the market. Least

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<v Speaker 1>you've covered this a lot too, But the bankers are

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<v Speaker 1>not without blame here for certain. The next big one

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<v Speaker 1>that I think we were waiting on was Airbnb. What's

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<v Speaker 1>the status of that TBD? The thing that's nice. The

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<v Speaker 1>thing that's nice about airbnb is that it does turn

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<v Speaker 1>a profit. It is kind of a darling and you

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<v Speaker 1>no matter you can think about it, when the I

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<v Speaker 1>P O market's bad, it's not that it closes up completely.

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<v Speaker 1>People still want listings and so they're going to look

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<v Speaker 1>for the best possible ones. And so I think Airbnb

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<v Speaker 1>still dangles a little bit of hope in front of

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<v Speaker 1>investors and in front of UM, in front of in

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<v Speaker 1>front of banks as well. Shinali Bassett, thank you so

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<v Speaker 1>much for joining a Shonali's investment banking reporting for Bloomberg News.

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<v Speaker 1>Journey us here on our Bloomberg Interactive Broker studio, bringing

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<v Speaker 1>us up to date on that news that we work

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<v Speaker 1>UH plans to withdraw its I p O perspectives as expected,

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<v Speaker 1>but still a shocking formative for a company that just

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<v Speaker 1>a couple of weeks ago I was looking to raise,

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<v Speaker 1>you know, a huge amount on a very high valuation.

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<v Speaker 1>A lot of questions now Number one, where will we

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<v Speaker 1>work raise money? Number two? What does this to to

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<v Speaker 1>investment bankers? And a sort of tom was a year

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<v Speaker 1>generally for I p O s sale was was was

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<v Speaker 1>putting out there? And number three for soft bank at

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<v Speaker 1>what point do they just say forget it, We're gonna

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<v Speaker 1>let you fail. Exactly right time to check in with

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<v Speaker 1>Bloomberg Opinion. We're joined by opinion columnists Brian Cheppetta. Brian

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<v Speaker 1>is a debt markets calumnist. He joins us here in

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<v Speaker 1>our Bloomberg Interactive Broker Studio. So, Brian, I know you're

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<v Speaker 1>out with a column and you're basically saying it could

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<v Speaker 1>be a shaky time for the bond market, but investment

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<v Speaker 1>grade issues are just flooding the market here. So what's

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<v Speaker 1>going on in your side of the credit markets? Yeah,

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<v Speaker 1>I thought it was really fascinating to see that a

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<v Speaker 1>D seven investment grade bond deals cluded the market as

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<v Speaker 1>of the end of last week, which is a record high. UH.

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<v Speaker 1>No month has ever seen so many investment grade companies

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<v Speaker 1>come and borrow, And it's just it's really surprising because

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<v Speaker 1>you saw all this different, tumultuous activity in various corners

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<v Speaker 1>of the markets. But it was steady as she goes.

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<v Speaker 1>I guess uh for corporate And even though they're down

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<v Speaker 1>a little bit this month, first monthly loss this year

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<v Speaker 1>because of yields rising, UH, still out performing treasuries and

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<v Speaker 1>still up year data, pretty strong, pretty strong year. So

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<v Speaker 1>this is this is such a fascinating area because there

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<v Speaker 1>seems to be a flood of cash coming from overseas

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<v Speaker 1>into the US investment grade bond market trying to get

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<v Speaker 1>some yield. Uh, since there is still some yield in

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<v Speaker 1>the United States. That said, Morgan Stanley crunched the data

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<v Speaker 1>and found that liabilities that the event of debt versus

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<v Speaker 1>income have reached their highest level in the investment grade

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<v Speaker 1>corporate sector since two thousand and nine. And they were

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<v Speaker 1>talking about how forty of all investment grade issuers now

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<v Speaker 1>have debt levels more equivalent to junk ratings, even though

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<v Speaker 1>they are still rated with the with the top tiers

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<v Speaker 1>of credit grades. Should people be concerned? Well, I guess

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<v Speaker 1>when I see that all the pushback, I always have

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<v Speaker 1>the thing I always want to see, and maybe maybe

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<v Speaker 1>there is some data out on that is sort of Okay,

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<v Speaker 1>the debt levels are high, but what are the borrowing costs?

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<v Speaker 1>Because yes, it's the highest since two thousand nine, But

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<v Speaker 1>you have to sort of look at where yield levels

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<v Speaker 1>are now relative to where they were ten years ago.

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<v Speaker 1>Because you can borrow, you can refinance, and yes you

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<v Speaker 1>have higher debt, but it's it's cheaper to borrow, So

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<v Speaker 1>I mean sort of the question is the corporate structure,

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<v Speaker 1>I mean, is it is it economically more feasible and

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<v Speaker 1>and better to to actually have have some debt if

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<v Speaker 1>you can borrow it. I'll push back on that. I

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<v Speaker 1>think that you know you're right that it net interest

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<v Speaker 1>costs are coming down, right just simply math, because rates

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<v Speaker 1>are lower and there is so much money and interest

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<v Speaker 1>coming into this market. That's said. The reason why leverage

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<v Speaker 1>picked up to such degree, according to this Morgan Stanley

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<v Speaker 1>analysis was twofold. It was because the borrowing more and

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<v Speaker 1>the revenues are coming down. Right there. The extra debt

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<v Speaker 1>that they are borrowing is not helping them boost their profits.

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<v Speaker 1>And so at what point is debt for debt's sake

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<v Speaker 1>really going to potentially crimp companies as we head into

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<v Speaker 1>potentially another downturn. Yeah, I mean I think that's a

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<v Speaker 1>fair I mean, I think everything that we sort of

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<v Speaker 1>know about this cycle and what companies have been doing

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<v Speaker 1>effectively taking on more debt, doing more share buy backs

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<v Speaker 1>to boost their equity price, I mean, all those things

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<v Speaker 1>are not what you would ideally like to see. But

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<v Speaker 1>I guess the question going forward that people have to

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<v Speaker 1>think about is what else do you do in an

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<v Speaker 1>economy that's growing but not growing that fast? I mean,

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<v Speaker 1>it seems like all of these executives sort of have

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<v Speaker 1>come to the decision that this is the way that

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<v Speaker 1>we go. We we take out debt to maybe finance

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<v Speaker 1>murders and acquisitions, or even just to buy back our shares.

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<v Speaker 1>So what are we seeing in terms of credit quality

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<v Speaker 1>out there? Are we seeing any signs of a deterioration

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<v Speaker 1>in credit quality? Well, I think that the high yield

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<v Speaker 1>market is where you're starting to see a lot of

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<v Speaker 1>investor pushback and some deals had to be show l

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<v Speaker 1>that aren't getting done. I mean there have been downgrades, um.

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<v Speaker 1>I think that Tupperware was the one that was mentioned

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<v Speaker 1>in the Bloomberg News story today being cut to junk UM.

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<v Speaker 1>But overall, UH, downgrades are happening, but not quite at

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<v Speaker 1>the clip. I think that people were really worried about.

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<v Speaker 1>The question will be obviously if for some reason the

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<v Speaker 1>economy gets worse, we head into even even more slow down.

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<v Speaker 1>If that will change, UH, you want to shift gears

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<v Speaker 1>a little bit to the repo market. Since we are

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<v Speaker 1>reaching quarter end and this has been the time that

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<v Speaker 1>people really were worried about, we are seeing overnight repo

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<v Speaker 1>costs go up. How big of a concern is that.

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<v Speaker 1>I think a lot of people are sort of thinking that, Okay,

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<v Speaker 1>the repo market is a problem area and the FED

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<v Speaker 1>doesn't have a quick fix. They're in there doing their

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<v Speaker 1>temporary repo operations for now, and it'll be generally okay,

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<v Speaker 1>we'll muddle through now. But I think everyone's really focused

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<v Speaker 1>on what will the FED come out with UH in

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<v Speaker 1>there are after there are October meeting. What sort of

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<v Speaker 1>permanent solution is there? Are we going back to buying

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<v Speaker 1>more treasuries uh in an attempt to sort of flood

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<v Speaker 1>the system with more reserves, or will they have some

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<v Speaker 1>standing repo facility, But it sounds like they're not as

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<v Speaker 1>close to that as people might expect, So it sounds

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<v Speaker 1>like they might go back to sort of organic growth

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<v Speaker 1>of the balance sheet. Brian Chabot, thank you so much

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<v Speaker 1>for being with us. Thank you. Brian Chabot is a

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<v Speaker 1>Bloomberg Opinion columnist, joining us here in our Bloomberg Gotter

0:11:26.040 --> 0:11:28.320
<v Speaker 1>Active Broker Studios. You can read all of his columns

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<v Speaker 1>at O, P, I N GO, on the Bloomberg Terminal

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<v Speaker 1>or Bloomberg dot com Slash Opinion. His columns are great,

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<v Speaker 1>so are those of his colleague and you can catch

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<v Speaker 1>them all there. Let's shift gears to what's been going

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<v Speaker 1>on in Washington, D see some of the political turmoil

0:12:01.360 --> 0:12:04.839
<v Speaker 1>with respect to the impeachment probe and the hearings last week.

0:12:05.120 --> 0:12:08.280
<v Speaker 1>How much does that trickle into markets? Jeff Powell, managing

0:12:08.280 --> 0:12:11.600
<v Speaker 1>partner at Polari's gray Stone Financial Group, joining us now

0:12:11.640 --> 0:12:14.200
<v Speaker 1>by phone from San Francisco. Jeff, how much did you

0:12:14.280 --> 0:12:16.920
<v Speaker 1>care and pay attention to the political tumult that we

0:12:16.960 --> 0:12:20.120
<v Speaker 1>saw over the past week. Well, I mean, obviously we

0:12:20.240 --> 0:12:23.840
<v Speaker 1>have to pay attention to headline news, and obviously something

0:12:23.880 --> 0:12:29.120
<v Speaker 1>like an impeachment inquiry is a very serious thing. Um. Personally,

0:12:29.160 --> 0:12:33.520
<v Speaker 1>I don't think that a impeachment walk her under the circumstances,

0:12:33.559 --> 0:12:36.760
<v Speaker 1>but it certainly plays into sentiment of marketplace, and it's

0:12:36.760 --> 0:12:40.560
<v Speaker 1>certainly complicates what's going on with our trade negotiations with China.

0:12:41.040 --> 0:12:44.200
<v Speaker 1>So it's a very important thing for us to consider

0:12:44.280 --> 0:12:47.079
<v Speaker 1>to track progress of what's going on there and also

0:12:47.160 --> 0:12:51.000
<v Speaker 1>the impacts of it as in other areas of the marketplace. Yeah, Jeff,

0:12:51.000 --> 0:12:53.840
<v Speaker 1>I've actually been I guess a little bit surprised at

0:12:53.840 --> 0:12:57.679
<v Speaker 1>the market has kind of taken this news in stride um,

0:12:57.720 --> 0:12:59.800
<v Speaker 1>and but I guess the question investors are just trying

0:12:59.800 --> 0:13:02.080
<v Speaker 1>to get a sense of where could this really hit

0:13:02.120 --> 0:13:04.080
<v Speaker 1>me in terms of the economy, And I guess you

0:13:04.120 --> 0:13:07.200
<v Speaker 1>mentioned one area is trade and that's clearly been the

0:13:07.200 --> 0:13:09.880
<v Speaker 1>big driver this market over the last year. So so

0:13:10.440 --> 0:13:11.720
<v Speaker 1>give us your thoughts to kind of how do you

0:13:11.720 --> 0:13:17.479
<v Speaker 1>think this may impact trade negotiations if at all? Well, yeah, absolutely,

0:13:17.559 --> 0:13:19.560
<v Speaker 1>I mean if you think back to May when we

0:13:19.920 --> 0:13:24.680
<v Speaker 1>heard Donald Trump tweet about how he was unhappy with

0:13:25.000 --> 0:13:27.640
<v Speaker 1>the Fed and if the Fed had been more aggressive

0:13:27.640 --> 0:13:30.120
<v Speaker 1>about cuts that we would have as strong in an

0:13:30.120 --> 0:13:32.680
<v Speaker 1>economy as China had, And all of a sudden, we

0:13:32.720 --> 0:13:38.360
<v Speaker 1>had China rethinking what was going on with our trade negotiations. So, uh, Premier,

0:13:38.440 --> 0:13:43.240
<v Speaker 1>she obviously is a lifetime position for him. We obviously

0:13:43.280 --> 0:13:48.080
<v Speaker 1>don't have lifetime positions for our leaders, and so when

0:13:48.080 --> 0:13:50.280
<v Speaker 1>you look at it, I believe the Chinese kind of

0:13:50.320 --> 0:13:53.520
<v Speaker 1>negotiate on kind of a different calendar than we do,

0:13:53.720 --> 0:13:56.560
<v Speaker 1>so they may be in a situation where they tried

0:13:56.559 --> 0:14:01.640
<v Speaker 1>to outweigh outweight President Trump under these circumstances, but it

0:14:01.720 --> 0:14:06.400
<v Speaker 1>certainly weakens his position with trade negotiations with China. Do

0:14:06.440 --> 0:14:09.760
<v Speaker 1>you trade on the headlines, No, we don't at all.

0:14:09.840 --> 0:14:13.720
<v Speaker 1>I mean, but I mean obviously you know things, things spiral,

0:14:13.920 --> 0:14:17.880
<v Speaker 1>and so uncertainty is a major factor. I mean, if

0:14:17.920 --> 0:14:19.800
<v Speaker 1>you just look at what happened in the fourth quarter

0:14:19.840 --> 0:14:22.920
<v Speaker 1>of last year, almost everything that was going on during

0:14:23.000 --> 0:14:26.040
<v Speaker 1>fourth quarter was sentiment of and everybody was worried about

0:14:26.080 --> 0:14:30.680
<v Speaker 1>the potential of a of having an economy that was

0:14:30.760 --> 0:14:33.960
<v Speaker 1>weakening or even going into recession, when there was really

0:14:33.960 --> 0:14:36.840
<v Speaker 1>no evidence of it. We had a strong economy, we

0:14:36.880 --> 0:14:40.400
<v Speaker 1>had really strong earnings. You have the markets drop during

0:14:40.400 --> 0:14:43.560
<v Speaker 1>that time period. So really we're looking at headlines and

0:14:43.600 --> 0:14:46.840
<v Speaker 1>their impact. I mean, you can run into circumstances that

0:14:46.920 --> 0:14:51.280
<v Speaker 1>become self fulfilling prophecies where you have people become more

0:14:51.280 --> 0:14:54.000
<v Speaker 1>and more worried about what's going on economically as a

0:14:54.080 --> 0:14:57.320
<v Speaker 1>result of headlines, which would be a driving factor for

0:14:57.400 --> 0:15:01.720
<v Speaker 1>us to make a decision to get more defensive and portfolios. So, Jeff,

0:15:01.760 --> 0:15:04.280
<v Speaker 1>we are, um, you know, at or near this the

0:15:04.320 --> 0:15:06.560
<v Speaker 1>all time high for the smp fived. You talk a

0:15:06.560 --> 0:15:09.840
<v Speaker 1>little bit about getting defensive. How are you thinking about

0:15:09.880 --> 0:15:12.600
<v Speaker 1>your positioning right here, given where we are in the

0:15:12.680 --> 0:15:16.440
<v Speaker 1>economic cycle, given where the FED is, are you taking

0:15:16.440 --> 0:15:19.640
<v Speaker 1>on additional risk here? Are or are you getting more defensive?

0:15:21.720 --> 0:15:23.480
<v Speaker 1>It's kind of funny you bring that up, but it's

0:15:23.480 --> 0:15:26.160
<v Speaker 1>it's more of a neutral stance right now, more of

0:15:26.200 --> 0:15:30.160
<v Speaker 1>a wait and see um. When we talk about economic cycles,

0:15:30.200 --> 0:15:33.560
<v Speaker 1>I mean I have a very hard time really gauging that.

0:15:33.800 --> 0:15:36.120
<v Speaker 1>I mean, we talked about how long the economy has

0:15:36.120 --> 0:15:40.040
<v Speaker 1>been expanding, yet you've had government intervention going on until

0:15:40.080 --> 0:15:43.160
<v Speaker 1>they'll end the part of two thousand fourteen, we dealt

0:15:43.200 --> 0:15:46.640
<v Speaker 1>with three different quantitative easing time periods in which you

0:15:46.720 --> 0:15:50.480
<v Speaker 1>had the government stepping in and really pressing yields down

0:15:50.720 --> 0:15:54.680
<v Speaker 1>very low as a result of quantitative easing. How do

0:15:54.760 --> 0:15:59.880
<v Speaker 1>you gauge true economic expansion when the government was being

0:16:00.120 --> 0:16:03.320
<v Speaker 1>was involved basically for seven of the years of that expansion.

0:16:03.880 --> 0:16:06.960
<v Speaker 1>So it's challenging. It's it's very challenging to sit there

0:16:07.120 --> 0:16:09.840
<v Speaker 1>and and really step in hard with this. I think

0:16:09.880 --> 0:16:14.840
<v Speaker 1>that we are going to see a a smattering of

0:16:14.880 --> 0:16:18.800
<v Speaker 1>disappointments going into earning season, especially with what's going on

0:16:18.840 --> 0:16:21.080
<v Speaker 1>with tariffs in the trade war that we have going on.

0:16:22.080 --> 0:16:25.360
<v Speaker 1>I think it's hard to get really really aggressive with

0:16:25.360 --> 0:16:29.120
<v Speaker 1>within the markets based upon that. So we're going in,

0:16:29.240 --> 0:16:33.520
<v Speaker 1>we're being we're market weight with what we would typically

0:16:33.560 --> 0:16:36.320
<v Speaker 1>be for a client and their risk levels and so on.

0:16:37.080 --> 0:16:40.560
<v Speaker 1>That being said, we are lower beta stocks more so

0:16:40.600 --> 0:16:43.080
<v Speaker 1>than we would be in a normal circumstance with the

0:16:43.120 --> 0:16:46.000
<v Speaker 1>allocations that we're in. Are you boosting your allocation to

0:16:46.120 --> 0:16:52.800
<v Speaker 1>cash we did about a month ago. We're holding tight

0:16:52.840 --> 0:16:56.920
<v Speaker 1>with what we are now. We have our laundry list

0:16:56.960 --> 0:17:01.240
<v Speaker 1>of names that we like, and we're looking or the

0:17:01.360 --> 0:17:04.040
<v Speaker 1>right opportunity to step back into the market a little

0:17:04.080 --> 0:17:07.200
<v Speaker 1>bit more heavily and get into an overweight position should

0:17:07.200 --> 0:17:10.120
<v Speaker 1>the need arise. So, Jeff, one of the issues I've

0:17:10.119 --> 0:17:13.480
<v Speaker 1>heard about getting a little bit more cautious is utilities reads.

0:17:13.800 --> 0:17:17.040
<v Speaker 1>You know, consumer staples by historical standards, they're not cheap.

0:17:18.880 --> 0:17:22.400
<v Speaker 1>You're absolutely correct, and so, I mean we are market

0:17:22.440 --> 0:17:25.280
<v Speaker 1>weight and all three of those categories, but we are

0:17:25.280 --> 0:17:29.399
<v Speaker 1>not overweighted into them. Uh So, it is something that

0:17:29.480 --> 0:17:32.280
<v Speaker 1>is a little bit more challenging to sit there and

0:17:32.280 --> 0:17:34.639
<v Speaker 1>and chase that kind of performance. I mean, if you

0:17:34.680 --> 0:17:37.920
<v Speaker 1>look at what utilities have done in particular, I mean,

0:17:38.040 --> 0:17:41.679
<v Speaker 1>they've had an amazing run, an amazing year for that

0:17:41.760 --> 0:17:44.639
<v Speaker 1>particular category. But you're absolutely correct, it makes it very

0:17:44.720 --> 0:17:48.480
<v Speaker 1>challenging to go into an area of the marketplace that

0:17:48.720 --> 0:17:51.720
<v Speaker 1>is considered to be expensive even though it's considered to

0:17:51.760 --> 0:17:55.000
<v Speaker 1>be defensive. Jeff pal thanks so much for joining us.

0:17:55.040 --> 0:17:58.240
<v Speaker 1>Jeff's a managing partner for Polarist gray Stone Financial Group

0:17:58.560 --> 0:18:01.840
<v Speaker 1>based in San Francisco. Jeff and just via phone from

0:18:01.840 --> 0:18:16.960
<v Speaker 1>San Francisco giving us his thoughts on the market. A

0:18:17.040 --> 0:18:21.000
<v Speaker 1>lot of workplaces talk about the difficulties of hiring qualified

0:18:21.040 --> 0:18:24.159
<v Speaker 1>people are frankly hiring people in general. There is a

0:18:24.240 --> 0:18:27.040
<v Speaker 1>question of what role artificial intelligence can play in that.

0:18:27.200 --> 0:18:29.640
<v Speaker 1>Joining us now is A L. Graevsky. He's chief executive

0:18:29.640 --> 0:18:32.840
<v Speaker 1>officer of Maya Systems, joining us from San Francisco. I

0:18:33.080 --> 0:18:35.119
<v Speaker 1>can you just talk a little bit about what Maya

0:18:35.200 --> 0:18:40.119
<v Speaker 1>Systems is. Yeah, So, Maya Systems is a recruitment automation

0:18:40.200 --> 0:18:44.360
<v Speaker 1>platform using conversational AI. So we built this conversational AI

0:18:44.440 --> 0:18:48.440
<v Speaker 1>assistant named Maya, who engages with candidates through natural language

0:18:48.440 --> 0:18:51.359
<v Speaker 1>and helps guide them through the recruiting process, helps source

0:18:51.400 --> 0:18:55.000
<v Speaker 1>passive leads for hiring teams, and manage many different phases

0:18:55.040 --> 0:18:58.520
<v Speaker 1>of the process. So I'll just give us a sense

0:18:58.560 --> 0:19:04.480
<v Speaker 1>of you know, what types of companies use your system. Yeah,

0:19:04.480 --> 0:19:06.960
<v Speaker 1>so we work with some of the largest enterprises and

0:19:07.080 --> 0:19:09.600
<v Speaker 1>staffing companies in the world, so six of the eight

0:19:09.720 --> 0:19:13.520
<v Speaker 1>largest staffing businesses, as well as organizations like the Lloyd

0:19:14.000 --> 0:19:18.840
<v Speaker 1>Laureal a b M BEV, very large enterprises like Singapore

0:19:18.880 --> 0:19:23.080
<v Speaker 1>Airlines that leverage the technology to both manage their talent

0:19:23.119 --> 0:19:26.840
<v Speaker 1>pools as well as automate and guide candidates through the

0:19:26.920 --> 0:19:30.040
<v Speaker 1>recruiting process. What's the goal, I mean, why did you

0:19:30.119 --> 0:19:34.560
<v Speaker 1>create this company? Yeah? So what I learned from the

0:19:34.640 --> 0:19:37.480
<v Speaker 1>many years working as a recruiter is that the recruiting

0:19:37.480 --> 0:19:42.040
<v Speaker 1>process is still wildly manual, and you see recruiters spent

0:19:42.119 --> 0:19:46.000
<v Speaker 1>about seventy of their time on what we call repetitive tasks,

0:19:46.000 --> 0:19:49.520
<v Speaker 1>which really slows them down. And later when I actually

0:19:49.560 --> 0:19:52.200
<v Speaker 1>went out and started searching for jobs early in my career,

0:19:52.280 --> 0:19:55.360
<v Speaker 1>I applied about forty jobs her back from two companies.

0:19:55.400 --> 0:19:59.840
<v Speaker 1>It's incredibly frustrating of applications fall into the black hole.

0:20:00.280 --> 0:20:02.399
<v Speaker 1>You have about a fifty seven to one chance of

0:20:02.440 --> 0:20:05.080
<v Speaker 1>getting a job when you apply, so it's a very

0:20:05.240 --> 0:20:08.960
<v Speaker 1>inefficient process. And what we saw was an opportunity to

0:20:09.440 --> 0:20:12.920
<v Speaker 1>build a technology that can really engage and communicate with

0:20:13.080 --> 0:20:15.960
<v Speaker 1>people at a large scale so that we can learn

0:20:16.040 --> 0:20:19.679
<v Speaker 1>about those individuals and then in building that profile and

0:20:19.800 --> 0:20:23.080
<v Speaker 1>understanding their interests, we can help guide them and convert

0:20:23.160 --> 0:20:26.440
<v Speaker 1>them into their next job. So we really saw that

0:20:26.560 --> 0:20:30.119
<v Speaker 1>unique opportunity to bridge the communications gap. It's interesting, you know,

0:20:30.160 --> 0:20:34.600
<v Speaker 1>I think the LinkedIn is really emerged as a recruiting tool.

0:20:34.680 --> 0:20:36.200
<v Speaker 1>Give us a sense of kind of how you either

0:20:36.320 --> 0:20:41.960
<v Speaker 1>compete with or complementary to a LinkedIn type of service. Yea,

0:20:42.040 --> 0:20:45.080
<v Speaker 1>So we we be viewed complementary and that LinkedIn is

0:20:45.200 --> 0:20:47.480
<v Speaker 1>very much a marketplace, and of course they have a

0:20:47.520 --> 0:20:52.680
<v Speaker 1>platform that organizations can um used to source and engage

0:20:52.760 --> 0:20:56.159
<v Speaker 1>passive candidates and and so forth. What we are is

0:20:56.880 --> 0:21:00.800
<v Speaker 1>really an enterprise staff business. We integrate into our clients

0:21:00.800 --> 0:21:06.800
<v Speaker 1>systems and we support recruitment across many different sources. So

0:21:07.000 --> 0:21:10.159
<v Speaker 1>LinkedIn might be one of the sources that are generating

0:21:10.280 --> 0:21:13.720
<v Speaker 1>leads where Maya might engage that candidate and convert them

0:21:13.720 --> 0:21:17.280
<v Speaker 1>through the funnel. Uh, and then of course Maya. The

0:21:17.359 --> 0:21:19.960
<v Speaker 1>really interesting thing about what we're doing is we can

0:21:20.119 --> 0:21:24.200
<v Speaker 1>use the technology to engage our customers database of candidates,

0:21:24.280 --> 0:21:27.080
<v Speaker 1>people that they've engaged within the past. Many of our

0:21:27.119 --> 0:21:31.040
<v Speaker 1>customers have millions of candidates that they've acquired over the

0:21:31.119 --> 0:21:34.920
<v Speaker 1>years and maya can really engage, re engage and surface

0:21:35.040 --> 0:21:40.240
<v Speaker 1>leads directly within your existing pool. So um, in that way,

0:21:40.600 --> 0:21:44.280
<v Speaker 1>sometimes we use the reliance on external sources like LinkedIn.

0:21:44.720 --> 0:21:47.720
<v Speaker 1>So given the fact that you you probably have conversations

0:21:47.760 --> 0:21:49.520
<v Speaker 1>with a lot of different companies, they are trying to

0:21:49.560 --> 0:21:53.720
<v Speaker 1>tailor this to their specific needs. Are you getting any

0:21:53.880 --> 0:21:57.080
<v Speaker 1>sense that there is a shift in what employers are

0:21:57.119 --> 0:21:59.920
<v Speaker 1>looking for in terms of the skills that will determine

0:22:00.119 --> 0:22:02.919
<v Speaker 1>whether a candidate will be successful and will stick around

0:22:03.480 --> 0:22:10.679
<v Speaker 1>versus not. Yeah, so, um, there's absolutely shifts in in

0:22:10.880 --> 0:22:15.640
<v Speaker 1>perspective and how employers are making decisions on candidates and

0:22:15.640 --> 0:22:20.280
<v Speaker 1>and that's probably gonna change on an employer to employer basis. Um.

0:22:20.320 --> 0:22:23.000
<v Speaker 1>You know, really our goal as a as a product

0:22:23.080 --> 0:22:26.000
<v Speaker 1>is is to really learn and understand the candidate and

0:22:26.400 --> 0:22:30.439
<v Speaker 1>surface those insights that might be hidden not on the resume,

0:22:30.600 --> 0:22:33.720
<v Speaker 1>not in the LinkedIn profile. You know, these are insights

0:22:33.720 --> 0:22:36.679
<v Speaker 1>that typically our surfaced from like a phone screen, and

0:22:36.720 --> 0:22:40.240
<v Speaker 1>we'll help build that profile that enriched profile and understanding

0:22:40.240 --> 0:22:43.840
<v Speaker 1>of the candidate as it pertains to the job requirements. Um. Really,

0:22:43.880 --> 0:22:48.199
<v Speaker 1>based on the criteria that the recruiter is looking for

0:22:48.440 --> 0:22:51.480
<v Speaker 1>and then we'll let the recruiter make that educated decision.

0:22:51.560 --> 0:22:54.760
<v Speaker 1>But yeah, companies are gonna very much differ and how

0:22:54.760 --> 0:22:58.600
<v Speaker 1>they think about candidates. Another cool thing that we're doing

0:22:58.760 --> 0:23:03.200
<v Speaker 1>is we're really understanding how candidates are engaging UM and

0:23:03.560 --> 0:23:06.840
<v Speaker 1>how other candidates in the past that we've screened or

0:23:06.960 --> 0:23:09.879
<v Speaker 1>that we've engaged with our performing, so we can help

0:23:10.320 --> 0:23:13.639
<v Speaker 1>our customers make predictions that are really grounded in data

0:23:13.880 --> 0:23:18.639
<v Speaker 1>and and and grounded in analytics over time. Hey, I'll

0:23:19.040 --> 0:23:20.520
<v Speaker 1>ye have ski. Thank you so much for joining us.

0:23:20.520 --> 0:23:24.680
<v Speaker 1>Just fascinating discussion. Ails, the chief executive officer for Maya Systems,

0:23:24.760 --> 0:23:27.320
<v Speaker 1>joining us on the phone from San Francisco, talking about

0:23:27.359 --> 0:23:31.680
<v Speaker 1>the recruiting process, the hiring process, the retaining talent process,

0:23:31.680 --> 0:23:37.200
<v Speaker 1>and how artificial intelligence and other technologies can help recruiters, companies,

0:23:37.359 --> 0:23:41.600
<v Speaker 1>UH and candidates themselves find a better fit. Thanks for

0:23:41.640 --> 0:23:43.840
<v Speaker 1>listening to the Bloomberg P and L podcast. You can

0:23:43.880 --> 0:23:46.720
<v Speaker 1>subscribe and listen to interviews at Apple Podcasts or whatever

0:23:46.760 --> 0:23:49.959
<v Speaker 1>podcast platform you prefer. Paul Sweeney, I'm on Twitter at

0:23:49.960 --> 0:23:52.639
<v Speaker 1>pt Sweeney. I'm Lisa bram Woyds. I'm on Twitter at

0:23:52.680 --> 0:23:55.480
<v Speaker 1>Lisa A. Bramwoit's one before the podcast. You can always

0:23:55.480 --> 0:23:57.560
<v Speaker 1>catch us worldwide on Bloomberg Radio