WEBVTT - Stocks Fall as US Services Flash Warning Signals

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Bloomberg Business Week Daily reporting from the magazine

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<v Speaker 2>Podcast with Carol Masser and Tim Steneveek on Bloomberg.

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<v Speaker 1>Radio, I want to get to our Drive to the Close.

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<v Speaker 1>Guest back with us is Joyce Swang. She's senior client

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<v Speaker 1>portfolio manager for American Century Investments.

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<v Speaker 3>They have about two.

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<v Speaker 1>Hundred and eighty two billion in assets under management, and

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<v Speaker 1>she's back here in our Bloomberg Interactive Brokers studio. When

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<v Speaker 1>you're back at American Century and you're surrounded by your

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<v Speaker 1>team and your colleagues, what is it that you talk

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<v Speaker 1>most about?

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<v Speaker 4>I mean, right now, there's actually a lot of things

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<v Speaker 4>going on. So as a fixed income person, you usually

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<v Speaker 4>we're in the boring part of the market, there's a

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<v Speaker 4>lot to talk about. So recently it's obviously been the

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<v Speaker 4>job's number, you know, inflation, looking at the underlying data there,

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<v Speaker 4>thinking about how to understand the three percent GDP number

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<v Speaker 4>we saw and we're really talking about tariffs, right, So

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<v Speaker 4>it's everything of the above, just given how rates have

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<v Speaker 4>been relatively calm despite a lot of this news coming out.

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<v Speaker 5>So when you look at i mean, the tenure yield

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<v Speaker 5>at four to twenty, we've been talking about a lot

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<v Speaker 5>of the last couple of days, especially considering the structural

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<v Speaker 5>measures that should be pushing yields higher.

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<v Speaker 6>Right.

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<v Speaker 5>We were just talking about with Stuart Paul from Bloomberg Economics,

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<v Speaker 5>what's holding us down this low for now?

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<v Speaker 7>And does that yield bounce?

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<v Speaker 4>Yeah, I mean, we think the tenures likely to be

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<v Speaker 4>range bound for the rest of this year. The issues

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<v Speaker 4>that are keeping it down would be the data, right,

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<v Speaker 4>So the hard data is finally starting to soften. At

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<v Speaker 4>American Century, we've been thinking that the slowdown is the

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<v Speaker 4>most likely scenario for the economy in the US this year.

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<v Speaker 4>It's finally showing up, right, Jobs un berbs first, So

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<v Speaker 4>that fear, even if it's a small risk of recession,

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<v Speaker 4>is going to keep the tenure below five.

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<v Speaker 8>We think likely the range is four to four.

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<v Speaker 1>Or five longer term though, you think you know, we

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<v Speaker 1>talked with our Stuart Paul about demographics, baby boomers, the debt,

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<v Speaker 1>the US debt that longer term what did he say

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<v Speaker 1>up above ten?

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<v Speaker 5>Six percent of the six percent is the long term

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<v Speaker 5>natural rate, which, yeah, that's.

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<v Speaker 4>Shockingly high for the ten year yield, right, that would

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<v Speaker 4>be extremely high.

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<v Speaker 8>Again, I think fact.

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<v Speaker 1>They ever interior discussions when you when you look longer term.

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<v Speaker 8>Longer term yees.

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<v Speaker 4>So the most frequently asked question I get is the

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<v Speaker 4>deficit in terms of longer term things. That is obviously

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<v Speaker 4>going to be a problem that needs to be resolved.

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<v Speaker 4>As investors, we're thinking more tactically, so let's say six months,

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<v Speaker 4>a year, two years, it's more short term trends rather

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<v Speaker 4>than these burgeoning long term trends. But yes, that is

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<v Speaker 4>something that weighs on our minds. And you do get

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<v Speaker 4>these bouts of volatility by scaresth.

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<v Speaker 3>So you buy what in terms of the US treasury market.

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<v Speaker 4>So we're actually liking the short end of the curve

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<v Speaker 4>right now, so not treasuries, though. We are looking at

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<v Speaker 4>income opportunities because while spreads are pretty tight across corporates,

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<v Speaker 4>across securitized markets are at pms, and analysts are looking

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<v Speaker 4>for areas of the market that are less trafficked. So

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<v Speaker 4>looking at, you know, smaller deal secondaries on the corporate side,

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<v Speaker 4>looking at potentially high yield names that are going to

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<v Speaker 4>be upgraded rather than downgraded, looking at non traditional asset

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<v Speaker 4>backed securities, stuff that's not in the index.

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<v Speaker 5>By the way, is there a cool name for that?

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<v Speaker 5>Because I know, if you're like in the BS and

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<v Speaker 5>you fall down, you're a fallen angel.

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<v Speaker 6>Right.

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<v Speaker 5>Is there a cool name for junk that becomes investment grade.

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<v Speaker 8>It's rising stars.

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<v Speaker 7>Oh, that's pretty that's pretty clear.

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<v Speaker 5>Look, spreads are so tight, right, and we just saw

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<v Speaker 5>I thought the Wall Street Banker bonus story was amazing

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<v Speaker 5>because equity underwriters are not getting paid and debt underwriters are.

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<v Speaker 5>It tells me that, you know, IPOs just aren't there

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<v Speaker 5>and everybody wants to sell bonds.

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<v Speaker 7>Is that market going to stay open like that?

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<v Speaker 8>I hope so.

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<v Speaker 4>And I hope that, you know, asset management bonuses for

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<v Speaker 4>fixed income people.

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<v Speaker 7>Are up to I hope so for you also.

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<v Speaker 4>But yes, I mean, one of the biggest changes that

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<v Speaker 4>we've seen since rates have gone up in twenty twenty

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<v Speaker 4>two is that things that were booming from the global

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<v Speaker 4>financial crisis until then aren't quite so attractive. Things like IPOs,

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<v Speaker 4>private equity, private credit. Stuff that worked when rates were

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<v Speaker 4>at zero suddenly don't when rates are at four.

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<v Speaker 5>But why is everybody buying why buy corporate debt when

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<v Speaker 5>spreads are this type? Is it just they're so happy

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<v Speaker 5>to be getting some yield?

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<v Speaker 4>And I mean, you have to look back to the

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<v Speaker 4>global financial crisis to get anything close to where we

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<v Speaker 4>are today. You were there, I was there at least

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<v Speaker 4>were right. Yeah, So I was there the last time

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<v Speaker 4>we saw yield this attractive. And I think when you

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<v Speaker 4>look at institutional investors and retail investors advisors, most people

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<v Speaker 4>are trying to get let's say, seven percent on their portfolio.

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<v Speaker 4>If you can get five to six on high quality

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<v Speaker 4>fixed income, that looks pretty attractive.

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<v Speaker 1>But high quality, especially if you think growth is slowing

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<v Speaker 1>down right at this point, you want to be pretty

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<v Speaker 1>quickly and pretty chuck.

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<v Speaker 4>Highield spreads are tight too, they are they are, so

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<v Speaker 4>we are selective in high yield.

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<v Speaker 8>It's again those rising.

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<v Speaker 4>Star stories, very select idiosyncratic names. Not beta definitely. I

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<v Speaker 4>don't suggest going passive in this environment.

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<v Speaker 1>Joyce. What's the implications or impact of tariffs that have

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<v Speaker 1>an effective rate of fifteen to sixteen percent, the highest

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<v Speaker 1>since nineteen forty six, very different than the world that

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<v Speaker 1>we've been living in. What is though, ultimately the impact

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<v Speaker 1>on companies, You know, as we look longer term and

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<v Speaker 1>I think about whether it's their debt positions or their

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<v Speaker 1>equity positions, whether I look at you across the balance

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<v Speaker 1>sheet in terms of margins, profit growth, like, what's the impact.

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<v Speaker 3>It's a different environment, right it is.

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<v Speaker 4>And that's what we've been really paying attention to during

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<v Speaker 4>earnings calls, because while the tariff situation is just getting finalized,

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<v Speaker 4>I think companies are still deciding how much they have

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<v Speaker 4>to absorb, how much in concessions they can get from

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<v Speaker 4>their suppliers, and how much they can pass through to consumers.

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<v Speaker 4>And that's where I think the active management piece comes in,

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<v Speaker 4>because it's going to impact companies in different sectors and

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<v Speaker 4>in different leadership positions differently.

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<v Speaker 6>Right.

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<v Speaker 4>So, if you have pricing power, you can pass through

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<v Speaker 4>your price increases to the consumer, and if people love

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<v Speaker 4>your brand, they're going to be willing to buy it.

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<v Speaker 4>But in terms of corporations, the debt coverage ratio is

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<v Speaker 4>very strong, so despite tight credit spreads, corporations are in

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<v Speaker 4>a great spot. There's no risk of like big defaults

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<v Speaker 4>happening even in high yield, so we're not terribly concerned

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<v Speaker 4>about that aspect of it.

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<v Speaker 5>Crazy considering like if I had told you at the

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<v Speaker 5>end of last year, Joyce, we're going to have you know,

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<v Speaker 5>tariffs at sixteen percent on the rest of the world,

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<v Speaker 5>what would you forecast?

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<v Speaker 4>Yeah, well, I mean we were definitely thinking at the

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<v Speaker 4>end of the year.

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<v Speaker 8>When President Trump.

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<v Speaker 4>Was elected and he started, you know, during the campaign,

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<v Speaker 4>he was targeting stuff and released tariffs up to forty

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<v Speaker 4>fifty percent on Liberation Day, we were thinking recession was

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<v Speaker 4>going to be the most likely massive inflation.

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<v Speaker 6>Yeah.

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<v Speaker 1>Is this just companies really focusing on their balance sheet?

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<v Speaker 1>I just think about this since the Great Financial Crisis

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<v Speaker 1>and then you know, layer on top of that the pandemic.

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<v Speaker 1>I mean, CFOs working with their CEOs making sure that

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<v Speaker 1>they've got maybe not fortress balance sheets, but pretty close.

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<v Speaker 8>Yes.

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<v Speaker 4>Absolutely, And that's where our corporate team is actually partnering

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<v Speaker 4>with CFOs and the finance teams at companies to approach

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<v Speaker 4>them when they see debt coming due in the next

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<v Speaker 4>one or two years.

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<v Speaker 8>They'll go to them and be like, we know you.

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<v Speaker 4>Don't want this to get to the level of attention

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<v Speaker 4>of your CEO asking how you're going to refinance this debt. Right,

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<v Speaker 4>Let's work together and come up with a way to

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<v Speaker 4>refinance your upcoming maturities.

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<v Speaker 1>So that group really busy, because that's what's happening.

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<v Speaker 4>Yes, exactly. So we're looking for those opportunities. Again, we're

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<v Speaker 4>not just buying the broad index, but we're looking for

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<v Speaker 4>these unique opportunities to generate some alf on a security

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<v Speaker 4>selection basis.

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<v Speaker 1>Great to have you here, Thank you, Thank you, so

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<v Speaker 1>appreciate joy the rest of the summer.

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<v Speaker 3>Joyce Wang.

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<v Speaker 1>She is senior client portfolio manager at American Century Investments.

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<v Speaker 1>We mentioned two hundred and eighty billion two hundred eighty

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<v Speaker 1>two billion in assets.

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<v Speaker 3>Under management right here in our interactive broker studio.

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<v Speaker 2>Be Well, you're listening to the Bloomberg Business Weekdaily podcast.

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<v Speaker 2>Catch us live weekday afternoons from two to five pm

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<v Speaker 2>Eastern Listen on Applecarplay and Android Auto with the Bloomberg

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<v Speaker 6>Well.

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<v Speaker 1>India's government is scrambling to contain the economic fallout from

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<v Speaker 1>President Trump's threatned tariff action, which has left some officials

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<v Speaker 1>in New Delhi reeling meantime time in terms of what

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<v Speaker 1>we got from the President earlier this morning on CNBC,

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<v Speaker 1>you talked about maybe US tariffs and semiconductors and pharmaceutical

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<v Speaker 1>imports which would be announced quote within the next week

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<v Speaker 1>or so. This as the administration really gets ready to

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<v Speaker 1>target key economics sectors in its effort to remake global trade.

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<v Speaker 3>Heres what the President said.

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<v Speaker 9>We'll go into pharmaceuticals. They make a fortune with pharmaceuticals,

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<v Speaker 9>and they make our pharmaceuticals in China and Ireland and

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<v Speaker 9>everything else. And pharmaceuticals will be putting a initially small

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<v Speaker 9>tariff on pharmaceuticals, but in one year, one and a

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<v Speaker 9>half year's maximum, it's going to go to one hundred

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<v Speaker 9>and fifty percent, and then it's going to go to

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<v Speaker 9>two hundred and fifty percent because we want pharmaceuticals made

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<v Speaker 9>in our country.

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<v Speaker 1>All right, That, of course was President Trump earlier on CNBC.

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<v Speaker 1>One thing that I want to add to that, the

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<v Speaker 1>US is looking at ways to equip chips with better

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<v Speaker 1>location trucking capabilities.

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<v Speaker 7>So chips, microchips, microchips.

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<v Speaker 5>Look, they want to put an air tag on those

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<v Speaker 5>times incy Ween Sea, itsy bitsy little microchips.

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<v Speaker 1>Yeah, like you know that look like that Apple tag.

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<v Speaker 1>This is the creutail, the flow of semis made by

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<v Speaker 1>the likes of Nvidia to China. All right, tracking all

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<v Speaker 1>of it. There's a lot coming at us. Is Bloomberg

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<v Speaker 1>News Senior editor for Technology and Strategic Industries. He's Michael Shepherd.

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<v Speaker 1>He's out there in our DC bureau.

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<v Speaker 3>Mike. A lot going on here.

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<v Speaker 1>Get us up to speed on what we are hearing

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<v Speaker 1>from the President when it comes to various sectors and

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<v Speaker 1>what we are getting in terms of still waiting for

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<v Speaker 1>terms with some big trading partners.

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<v Speaker 10>Well in the tariffs front, one of the most significant

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<v Speaker 10>things that we heard from Donald Trump today was a

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<v Speaker 10>timeline for both the pharma tariffs and the levees that

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<v Speaker 10>we have long been expecting to come on semiconductors. He

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<v Speaker 10>has been going sector bisector, as we've already seen, in

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<v Speaker 10>addition to his country by country reciprocal tariffs, but he

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<v Speaker 10>has already targeted the auto industry, the steel and aluminum

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<v Speaker 10>industries with levees aimed at trying to boost more output

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<v Speaker 10>and production here at home, and next moving onto the

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<v Speaker 10>drug industry and chip makers and the idea is again

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<v Speaker 10>to try to get them to build more plants here

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<v Speaker 10>in the US, spur domestic investment in plants and production,

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<v Speaker 10>and maybe try to boost hiring as well, and perhaps

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<v Speaker 10>also goose some exports in those areas.

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<v Speaker 6>It's going to be a long road though.

0:11:17.840 --> 0:11:20.680
<v Speaker 10>Even if he announces those tariffs in the next week

0:11:20.760 --> 0:11:23.200
<v Speaker 10>or so, it will take years for those plants to

0:11:23.240 --> 0:11:26.360
<v Speaker 10>actually be built for companies to migrate, and in the meantime,

0:11:26.440 --> 0:11:31.079
<v Speaker 10>a number of companies, businesses, consumers will face the prospect

0:11:31.120 --> 0:11:36.480
<v Speaker 10>of potentially higher costs based on the increases in those inputs. Remember,

0:11:36.800 --> 0:11:39.520
<v Speaker 10>chips are in everything. It is not just the AI

0:11:39.600 --> 0:11:43.439
<v Speaker 10>accelerators that we heard so much about from the likes

0:11:43.480 --> 0:11:46.040
<v Speaker 10>of Meta Platforms and Microsoft Corp. When it comes to

0:11:46.160 --> 0:11:49.920
<v Speaker 10>their AI businesses. It goes down to all the way

0:11:49.960 --> 0:11:52.680
<v Speaker 10>down to things like those light up sneakers that small

0:11:52.800 --> 0:11:56.000
<v Speaker 10>children wear. They're in cars, they're in everything. So businesses

0:11:56.000 --> 0:11:58.320
<v Speaker 10>have been bracing for this and they're going to have

0:11:58.360 --> 0:12:00.600
<v Speaker 10>to really read the fine print when those tariffs come

0:12:00.600 --> 0:12:03.520
<v Speaker 10>out to see if there are any exemptions whatsoever. We're

0:12:03.520 --> 0:12:06.720
<v Speaker 10>not expecting any, but some companies are still holding out hope.

0:12:07.120 --> 0:12:09.640
<v Speaker 7>You know, we just report the news.

0:12:09.880 --> 0:12:12.680
<v Speaker 5>We don't editorialize or give our opinions, but you got

0:12:12.720 --> 0:12:15.439
<v Speaker 5>to point out when something makes no sense at all.

0:12:15.480 --> 0:12:18.480
<v Speaker 5>Ship and the President on Sunday said he was going

0:12:18.559 --> 0:12:22.920
<v Speaker 5>to lower drug prices for American consumers by fourteen hundred

0:12:23.240 --> 0:12:28.120
<v Speaker 5>to fifteen hundred percent, which is mathematically impossible unless drug

0:12:28.120 --> 0:12:31.400
<v Speaker 5>producers are paying customers. At the same time, he wants

0:12:31.400 --> 0:12:34.280
<v Speaker 5>to have tariffs at two hundred and fifty percent on

0:12:34.480 --> 0:12:38.920
<v Speaker 5>imported pharmaceuticals, which is almost all of them. So how

0:12:38.960 --> 0:12:41.319
<v Speaker 5>do you, I mean, how does any of that make

0:12:41.360 --> 0:12:43.559
<v Speaker 5>any sense at all?

0:12:43.720 --> 0:12:46.920
<v Speaker 10>Well, the math really is not working when you lay

0:12:46.960 --> 0:12:50.280
<v Speaker 10>it out just on paper. He even talked today about

0:12:50.320 --> 0:12:53.920
<v Speaker 10>increasing the drug tariffs, starting small and then after a

0:12:54.000 --> 0:12:57.559
<v Speaker 10>year increasing very significantly to one hundred and fifty or

0:12:57.559 --> 0:12:58.520
<v Speaker 10>two hundred percent.

0:12:58.880 --> 0:12:59.200
<v Speaker 6>Matt.

0:12:59.320 --> 0:13:02.320
<v Speaker 10>If you think think about trying to build a drug plant,

0:13:02.440 --> 0:13:04.760
<v Speaker 10>it takes years for that to happen. Let's think on

0:13:04.840 --> 0:13:07.040
<v Speaker 10>a four or five year timeline, and he is not

0:13:07.160 --> 0:13:09.760
<v Speaker 10>talking about that. He has a sense of urgency and

0:13:09.800 --> 0:13:14.720
<v Speaker 10>he wants to see these results immediately. In his mind,

0:13:14.840 --> 0:13:18.040
<v Speaker 10>these plants should already be underway, and he is expecting

0:13:18.200 --> 0:13:22.400
<v Speaker 10>investment from US trading partners, including the European Union, from

0:13:22.480 --> 0:13:25.880
<v Speaker 10>Japan and others, to really start plowing that money into

0:13:25.920 --> 0:13:28.520
<v Speaker 10>the ground and start getting those factories underway.

0:13:29.200 --> 0:13:30.080
<v Speaker 3>Mike, what do we know though?

0:13:30.080 --> 0:13:32.680
<v Speaker 1>I mean already we've talked about Puerto Rico right, certainly

0:13:32.679 --> 0:13:36.719
<v Speaker 1>in the past being a big home to big pharma.

0:13:37.480 --> 0:13:39.720
<v Speaker 1>There's some back and forth there, but I mean, we

0:13:39.760 --> 0:13:42.240
<v Speaker 1>already do it. Is it that we've maxed out what

0:13:42.280 --> 0:13:42.840
<v Speaker 1>we can.

0:13:42.760 --> 0:13:43.520
<v Speaker 7>Do or what?

0:13:45.080 --> 0:13:45.280
<v Speaker 9>Well.

0:13:45.320 --> 0:13:47.320
<v Speaker 10>Part of the problem is that a lot of other

0:13:47.400 --> 0:13:51.160
<v Speaker 10>jurisdictions outside the US have for years been lower cost

0:13:51.280 --> 0:13:54.920
<v Speaker 10>and they have offered themselves as a venue to produce

0:13:55.040 --> 0:14:00.400
<v Speaker 10>these medicines and even medical equipment at a far lower cost.

0:14:00.520 --> 0:14:03.840
<v Speaker 10>And that actually has benefited consumers here in the US

0:14:03.960 --> 0:14:06.360
<v Speaker 10>over the years, even though it doesn't look like it.

0:14:07.000 --> 0:14:10.200
<v Speaker 10>Producing a lot of that material here in the United

0:14:10.240 --> 0:14:14.600
<v Speaker 10>States would be more expensive based on labor costs, land costs,

0:14:14.679 --> 0:14:17.600
<v Speaker 10>regulatory hurdles, and other things. Some of these the President

0:14:18.280 --> 0:14:21.600
<v Speaker 10>has promised to sweep aside, especially in the land use

0:14:21.640 --> 0:14:25.560
<v Speaker 10>some permitting and rules bayside. But there are other structural

0:14:25.600 --> 0:14:28.520
<v Speaker 10>issues too, and that includes the labor supply and whether

0:14:28.560 --> 0:14:30.920
<v Speaker 10>there is a workforce. And this is especially true for

0:14:31.000 --> 0:14:35.200
<v Speaker 10>semiconductors and other advanced technology, having enough people who can

0:14:35.240 --> 0:14:39.560
<v Speaker 10>move into the precision tooling, the advanced engineering jobs in

0:14:39.600 --> 0:14:43.000
<v Speaker 10>the factories that could step in and take those jobs

0:14:43.080 --> 0:14:46.120
<v Speaker 10>right away. And Matt, when you were asking about the

0:14:46.160 --> 0:14:48.960
<v Speaker 10>math question, when it comes to chip making, one of

0:14:49.000 --> 0:14:51.440
<v Speaker 10>the biggest inputs in a new plant, and these are

0:14:51.440 --> 0:14:53.640
<v Speaker 10>the kinds of factories that the President and his team

0:14:53.720 --> 0:14:56.960
<v Speaker 10>want to see built across. You know, in certain locations

0:14:56.960 --> 0:14:59.480
<v Speaker 10>in the US, one of the biggest inputs is the

0:14:59.520 --> 0:15:03.720
<v Speaker 10>semikin doctor manufacturing equipment itself, the deep ultra violet lithography

0:15:03.880 --> 0:15:06.400
<v Speaker 10>machines made by one company in the world, and that's

0:15:06.440 --> 0:15:11.240
<v Speaker 10>ASML in the Netherlands. Now, chips tariffs could increase the

0:15:11.280 --> 0:15:13.840
<v Speaker 10>cost of those machines, which run about four hundred million

0:15:13.880 --> 0:15:17.760
<v Speaker 10>dollars apiece, by another as much as one hundred million dollars,

0:15:17.800 --> 0:15:20.520
<v Speaker 10>and for companies that are planning those plants, it is

0:15:20.560 --> 0:15:22.920
<v Speaker 10>a big cost that have to absorb all of a sudden.

0:15:23.040 --> 0:15:26.000
<v Speaker 5>Well, maybe that's why when President Trump was talking about

0:15:26.040 --> 0:15:31.480
<v Speaker 5>the TSMC investment in its Arizona chip making plants, which

0:15:31.520 --> 0:15:34.680
<v Speaker 5>has previously been stated at one hundred and sixty five billion, dollars.

0:15:34.680 --> 0:15:38.160
<v Speaker 5>The President said, now it's a three hundred billion dollar investment.

0:15:38.200 --> 0:15:41.360
<v Speaker 7>He just doubled that number, you know, also for fun.

0:15:41.560 --> 0:15:44.840
<v Speaker 5>So I want to ask about chips ship because the

0:15:44.920 --> 0:15:49.560
<v Speaker 5>idea of putting a tracking device on our you know,

0:15:49.840 --> 0:15:55.480
<v Speaker 5>teenc weensy, it'sy bitsy most advanced AI semiconductors, I mean,

0:15:55.480 --> 0:16:00.040
<v Speaker 5>the space constraints, the thermal budget, the power consumption, this

0:16:00.040 --> 0:16:01.600
<v Speaker 5>signal interference.

0:16:01.160 --> 0:16:04.440
<v Speaker 7>Seems like it would be difficult. It's a great question.

0:16:04.520 --> 0:16:06.760
<v Speaker 10>And I've asked folks in the chip industry whether this

0:16:06.920 --> 0:16:10.200
<v Speaker 10>capability is theoretically possible, and they have said yes, but

0:16:10.280 --> 0:16:12.600
<v Speaker 10>they are wary of doing it for a number of reasons.

0:16:12.680 --> 0:16:15.840
<v Speaker 10>One is that they don't want to create the appearance

0:16:15.880 --> 0:16:18.520
<v Speaker 10>of their possibly being some sort of a back door

0:16:18.560 --> 0:16:22.360
<v Speaker 10>to the US government that other buyers outside the United

0:16:22.400 --> 0:16:26.840
<v Speaker 10>States might be able to see that, Oh wait, the

0:16:26.960 --> 0:16:29.640
<v Speaker 10>US government has some means of following us, tracking us,

0:16:29.680 --> 0:16:32.920
<v Speaker 10>finding us, knowing where we are, and maybe knowing what

0:16:33.000 --> 0:16:36.720
<v Speaker 10>we are using these chips. For Invidia Corp, for instance,

0:16:36.760 --> 0:16:41.160
<v Speaker 10>the maker of the most advanced AI chips, has insisted

0:16:41.200 --> 0:16:43.400
<v Speaker 10>that there is no such back door, but it is

0:16:43.480 --> 0:16:46.640
<v Speaker 10>theoretically possible. Matt and it is something that's key to

0:16:46.680 --> 0:16:51.680
<v Speaker 10>the administration's strategy of exporting more chips, more AI compute globally.

0:16:51.840 --> 0:16:53.640
<v Speaker 1>Not to sound like a crazy enough, but Mike, couldn't

0:16:53.640 --> 0:16:55.280
<v Speaker 1>it already be there trying device?

0:16:57.720 --> 0:17:01.240
<v Speaker 10>Well, it is theoretically, yeah, theoretically possible that they're already

0:17:01.280 --> 0:17:01.680
<v Speaker 10>in there.

0:17:02.200 --> 0:17:03.680
<v Speaker 7>I feel like it's terribly unlikely.

0:17:04.000 --> 0:17:06.160
<v Speaker 5>You a very small piece of real estate and you're

0:17:06.160 --> 0:17:08.240
<v Speaker 5>trying to put as much of the tiniest circuitry in

0:17:08.280 --> 0:17:08.600
<v Speaker 5>the world.

0:17:08.720 --> 0:17:10.440
<v Speaker 1>I understand, but do you know what they already put

0:17:10.480 --> 0:17:14.280
<v Speaker 1>on that tiny, tiny little star no idea amazing capabilities?

0:17:14.400 --> 0:17:16.240
<v Speaker 1>So tracking would that be such a big deal?

0:17:16.480 --> 0:17:17.919
<v Speaker 7>I mean, look, how big an AirTag is?

0:17:18.000 --> 0:17:19.879
<v Speaker 1>All Right, this is a little debate that Matt and

0:17:19.920 --> 0:17:23.080
<v Speaker 1>I are having, all right, Mike Shepherd so appreciated. Bloomberg News,

0:17:23.119 --> 0:17:25.919
<v Speaker 1>Senior editor for Technology and Strategic Industries out there in

0:17:25.920 --> 0:17:26.960
<v Speaker 1>our DC bureau works.

0:17:28.119 --> 0:17:32.000
<v Speaker 2>This is the Bloomberg Business Week Daily podcast. Listen live

0:17:32.080 --> 0:17:34.960
<v Speaker 2>each weekday starting at two pm Eastern up on applecar

0:17:35.080 --> 0:17:37.880
<v Speaker 2>Play and the Android Auto with the Bloomberg Business app.

0:17:37.960 --> 0:17:40.760
<v Speaker 2>You can also listen live on Amazon Alexa from our

0:17:40.760 --> 0:17:44.919
<v Speaker 2>flagship New York station. Just say Alexa played Bloomberg eleven thirty.

0:17:46.640 --> 0:17:47.080
<v Speaker 3>I feel like you.

0:17:47.040 --> 0:17:49.399
<v Speaker 1>Should go like this because there is something happening in

0:17:49.440 --> 0:17:52.800
<v Speaker 1>the startup community, a twist, if you will, and this

0:17:52.840 --> 0:17:55.600
<v Speaker 1>is according to a story out from our Bloomberg BusinessWeek team.

0:17:55.720 --> 0:17:57.640
<v Speaker 1>You can find it on the Bloomberg and at Bloomberg

0:17:57.720 --> 0:18:00.640
<v Speaker 1>dot com slash BusinessWeek. The twist is that a big

0:18:00.680 --> 0:18:04.119
<v Speaker 1>tech company pays to hire a startups top talent and

0:18:04.200 --> 0:18:07.719
<v Speaker 1>licenses technology, but does not actually acquire the company itself,

0:18:07.760 --> 0:18:10.200
<v Speaker 1>and the remaining crew is left to pick up the pieces.

0:18:10.200 --> 0:18:13.480
<v Speaker 5>Not a great way to be, no, but I guess

0:18:14.800 --> 0:18:18.760
<v Speaker 5>it's kind of like silly season, especially in AI, so

0:18:19.640 --> 0:18:22.720
<v Speaker 5>they're willing to pay anything to get not as much

0:18:22.800 --> 0:18:24.720
<v Speaker 5>as previously you would.

0:18:24.520 --> 0:18:26.040
<v Speaker 3>Have, and they kind of want the people in a

0:18:26.040 --> 0:18:26.440
<v Speaker 3>big way.

0:18:26.960 --> 0:18:29.000
<v Speaker 1>Let's get into it because it is a Bloomberg BusinessWeek

0:18:29.040 --> 0:18:32.320
<v Speaker 1>story and it's caught our attention and fascination if you will.

0:18:32.320 --> 0:18:35.159
<v Speaker 1>Bloomberg News Tech and venture capital reporter Kate Clark is

0:18:35.160 --> 0:18:37.760
<v Speaker 1>in our Bloomberg Interactive Brokers story to tell us more,

0:18:38.000 --> 0:18:39.560
<v Speaker 1>and as we mentioned, you can find your story at

0:18:39.560 --> 0:18:43.520
<v Speaker 1>Bloomberg dot com slash BusinessWeek. All right, welcome, welcome, thank you.

0:18:43.720 --> 0:18:45.080
<v Speaker 1>Tell us about an aqua hier.

0:18:45.280 --> 0:18:47.320
<v Speaker 3>What is it? And what's a reverse aqua hier?

0:18:47.640 --> 0:18:49.960
<v Speaker 11>So an AQUHIRER in startup land is just when a

0:18:50.040 --> 0:18:53.000
<v Speaker 11>company comes in and buys another company, usually a small one,

0:18:53.080 --> 0:18:55.040
<v Speaker 11>because they want the employees. They don't really care about

0:18:55.040 --> 0:18:57.120
<v Speaker 11>the tech or anything else. They just want the smart

0:18:57.119 --> 0:19:00.440
<v Speaker 11>people that are there. Now what's happening, And honestly the

0:19:00.520 --> 0:19:03.119
<v Speaker 11>name doesn't fully fit, but no one can think of

0:19:03.160 --> 0:19:05.600
<v Speaker 11>a better name, so we're going with reverse acu hire

0:19:05.680 --> 0:19:08.880
<v Speaker 11>for now. You have a bigger company come in, take

0:19:09.000 --> 0:19:13.280
<v Speaker 11>some of the people, maybe like five or ten or twenty,

0:19:13.320 --> 0:19:17.199
<v Speaker 11>and license the technology and then leave the existing company.

0:19:17.240 --> 0:19:19.800
<v Speaker 11>So they're not actually buying the company, they're just taking

0:19:19.800 --> 0:19:23.800
<v Speaker 11>the good people and leaving the company behind. So, as

0:19:23.800 --> 0:19:26.439
<v Speaker 11>you can imagine, not everybody is super thrilled with this

0:19:26.520 --> 0:19:27.920
<v Speaker 11>new deal type.

0:19:28.119 --> 0:19:31.639
<v Speaker 5>What are the biggest examples of this and I'm thinking

0:19:31.800 --> 0:19:33.879
<v Speaker 5>of I'm not sure if they all fit, but you

0:19:33.920 --> 0:19:37.000
<v Speaker 5>know Microsoft with open Ai and then open Ai with

0:19:37.080 --> 0:19:39.640
<v Speaker 5>that Apple spinoff hardware company.

0:19:39.840 --> 0:19:42.160
<v Speaker 11>Yeah, those are actually not examples, but they are similar.

0:19:42.520 --> 0:19:44.960
<v Speaker 11>Weird silly things that are happening at startup plan right now.

0:19:46.320 --> 0:19:50.639
<v Speaker 11>The big examples, there's six of them. There are startups

0:19:50.680 --> 0:19:54.639
<v Speaker 11>called character AI, Scale AI, Inflection AI, A lot of

0:19:54.640 --> 0:19:58.200
<v Speaker 11>companies most people haven't heard of who have made deals

0:19:58.200 --> 0:20:00.960
<v Speaker 11>with larger companies like Google and Microsoft to come in

0:20:01.000 --> 0:20:04.040
<v Speaker 11>and take their mainly their CEOs, their founders, but not

0:20:04.119 --> 0:20:05.680
<v Speaker 11>the rank and file of startup employees.

0:20:06.080 --> 0:20:09.760
<v Speaker 1>Why has this kind of shift, this twist started to happen.

0:20:10.280 --> 0:20:12.600
<v Speaker 11>There are two big reasons. One of them is just

0:20:12.680 --> 0:20:16.840
<v Speaker 11>the broader antitrust environment. Like people at companies like Meta,

0:20:16.880 --> 0:20:19.280
<v Speaker 11>they don't think they can actually get these acquisitions over

0:20:19.320 --> 0:20:22.840
<v Speaker 11>the line, so they created something funky and silly instead.

0:20:23.160 --> 0:20:24.360
<v Speaker 7>The other big reason.

0:20:24.119 --> 0:20:26.960
<v Speaker 11>Is they want the talent really badly, and they want

0:20:26.960 --> 0:20:29.119
<v Speaker 11>the talent yesterday, and they don't want to wait a

0:20:29.200 --> 0:20:32.440
<v Speaker 11>year for us for a deal to close to then

0:20:32.480 --> 0:20:34.640
<v Speaker 11>get that talent. They need them right now.

0:20:34.920 --> 0:20:38.640
<v Speaker 5>Well, and the fact that you have this insane concentration

0:20:39.240 --> 0:20:43.400
<v Speaker 5>in the market right that gives companies like Microsoft and

0:20:43.480 --> 0:20:46.399
<v Speaker 5>Meta so much capital doesn't matter if they had to

0:20:46.400 --> 0:20:49.560
<v Speaker 5>pay one hundred million dollars for one person.

0:20:49.960 --> 0:20:52.640
<v Speaker 11>Trying three billion dollars. I mean, these deals are huge,

0:20:52.680 --> 0:20:55.640
<v Speaker 11>and they like There's been many stories recently that I've

0:20:55.640 --> 0:20:58.320
<v Speaker 11>reported that people like Mark Zuckerberg are more than willing

0:20:58.359 --> 0:21:00.960
<v Speaker 11>to pay a billion dollars. Maybe that is on the

0:21:01.000 --> 0:21:03.000
<v Speaker 11>far end of things, but to get some of these

0:21:03.040 --> 0:21:07.120
<v Speaker 11>AI researchers in house, because these companies feel they are

0:21:07.520 --> 0:21:11.480
<v Speaker 11>behind open aie, behind anthropic, and these are big tech,

0:21:11.560 --> 0:21:14.240
<v Speaker 11>massive companies that can't afford to be behind startups.

0:21:14.359 --> 0:21:16.800
<v Speaker 1>Help me understand, because I'm thinking about early on in

0:21:16.840 --> 0:21:19.359
<v Speaker 1>my career and I worked for media company that was

0:21:19.400 --> 0:21:23.359
<v Speaker 1>bought by our competitor who was actually not doing so

0:21:23.480 --> 0:21:27.080
<v Speaker 1>well we were, and it basically took some of that

0:21:27.400 --> 0:21:31.480
<v Speaker 1>kind of key talent and some of our technology at

0:21:31.480 --> 0:21:33.560
<v Speaker 1>that point. So it sounds like a very similar thing.

0:21:33.920 --> 0:21:36.399
<v Speaker 1>So we've seen this kind of before. What is there

0:21:36.440 --> 0:21:38.639
<v Speaker 1>something distinct or different about it this time around?

0:21:39.200 --> 0:21:41.040
<v Speaker 11>Yeah, I mean, I think I'm sure there have been

0:21:41.080 --> 0:21:43.199
<v Speaker 11>cases of this before, but in Silicon Valley there have

0:21:43.280 --> 0:21:47.160
<v Speaker 11>never been such high profile, large deals like this before

0:21:47.240 --> 0:21:49.879
<v Speaker 11>for companies that were otherwise seemed to be in a

0:21:49.960 --> 0:21:52.600
<v Speaker 11>good place. There is arrange some of these startups were

0:21:52.600 --> 0:21:55.320
<v Speaker 11>not doing so well, but a company like SCALEAI, I

0:21:55.320 --> 0:21:58.600
<v Speaker 11>mean that was a company that was generating significant revenue

0:21:59.520 --> 0:22:02.720
<v Speaker 11>was potentially plotting a massive IPO in the next couple

0:22:02.720 --> 0:22:03.199
<v Speaker 11>of years.

0:22:03.240 --> 0:22:04.479
<v Speaker 8>Like there was a lot like that.

0:22:04.560 --> 0:22:07.480
<v Speaker 11>Wasn't a company that people necessarily expected would do a

0:22:07.520 --> 0:22:09.960
<v Speaker 11>deal like this. So I think that's what's different is

0:22:10.000 --> 0:22:11.639
<v Speaker 11>the types of companies that are doing.

0:22:11.560 --> 0:22:13.760
<v Speaker 5>I can imagine this happening on Wall Street with a

0:22:13.760 --> 0:22:17.919
<v Speaker 5>hedge fund or media. I would buy any company just

0:22:17.920 --> 0:22:20.320
<v Speaker 5>to get you as an anchor on my show, and

0:22:20.359 --> 0:22:22.159
<v Speaker 5>then I don't need the rest of the company. But

0:22:22.600 --> 0:22:27.680
<v Speaker 5>in I feel like, especially in Silicon Valley, this guts

0:22:27.880 --> 0:22:30.359
<v Speaker 5>the social contract of startups.

0:22:30.440 --> 0:22:30.640
<v Speaker 9>Right.

0:22:30.760 --> 0:22:33.720
<v Speaker 5>You go to a startup because you're you're one of

0:22:33.720 --> 0:22:35.560
<v Speaker 5>the best and vietors. You could go work for Google

0:22:36.000 --> 0:22:40.080
<v Speaker 5>or Meta too, but you're hoping to, you know, build

0:22:40.119 --> 0:22:42.280
<v Speaker 5>something amazing, and then all of a sudden, your CEOs

0:22:42.320 --> 0:22:44.479
<v Speaker 5>like the C suites out and you you kids, are

0:22:44.480 --> 0:22:45.160
<v Speaker 5>done with your jokes.

0:22:45.200 --> 0:22:48.080
<v Speaker 11>Yeah, I mean people are not happy about that. There

0:22:48.080 --> 0:22:51.080
<v Speaker 11>are people at these companies who do feel betrayed. Some

0:22:51.119 --> 0:22:53.359
<v Speaker 11>of them have gone public with those complaints. We've seen

0:22:53.440 --> 0:22:56.440
<v Speaker 11>many many tweets from these people, and yes, it does

0:22:56.480 --> 0:22:58.760
<v Speaker 11>betray those startup social contract. And I think what I'm

0:22:58.760 --> 0:23:01.280
<v Speaker 11>hearing from the venture capital the employees.

0:23:00.920 --> 0:23:01.439
<v Speaker 3>Of these companies.

0:23:01.440 --> 0:23:04.040
<v Speaker 1>That's what's also interesting. The venture capitalists. I'm like, listen,

0:23:04.119 --> 0:23:06.520
<v Speaker 1>I'm with you from the beginning, right, and I'm going

0:23:06.520 --> 0:23:08.960
<v Speaker 1>to pony up more. And there's different rounds and so

0:23:09.000 --> 0:23:10.600
<v Speaker 1>on and so forth, and then all of a sudden

0:23:10.640 --> 0:23:13.000
<v Speaker 1>you're like, wait, you're out, and what's left for me?

0:23:13.480 --> 0:23:13.680
<v Speaker 6>Right?

0:23:13.720 --> 0:23:15.160
<v Speaker 11>And like, in some of these cases, you know, they

0:23:15.160 --> 0:23:17.320
<v Speaker 11>get paid back first. So in many of many cases,

0:23:17.760 --> 0:23:20.280
<v Speaker 11>they're getting their money back, but they're not making a profit.

0:23:21.200 --> 0:23:21.760
<v Speaker 7>Or maybe they are.

0:23:21.960 --> 0:23:24.240
<v Speaker 11>All of these have been structured differently, but by and large,

0:23:24.400 --> 0:23:27.880
<v Speaker 11>this is not a great thing for a venture capitalists

0:23:27.880 --> 0:23:31.160
<v Speaker 11>who are hoping for a home run return with an IPO.

0:23:31.320 --> 0:23:33.520
<v Speaker 11>This isn't really they don't want to see their star

0:23:33.760 --> 0:23:36.440
<v Speaker 11>founder jump to big tech, right.

0:23:36.600 --> 0:23:39.600
<v Speaker 5>You tend to know their founders, right, Maybe a little

0:23:39.640 --> 0:23:41.520
<v Speaker 5>bit better if some of them are jumping ship to

0:23:41.560 --> 0:23:42.480
<v Speaker 5>go to big companies.

0:23:43.359 --> 0:23:43.600
<v Speaker 6>Yep.

0:23:43.720 --> 0:23:45.720
<v Speaker 1>You talk about Microsoft back in twenty twenty four and

0:23:45.760 --> 0:23:47.480
<v Speaker 1>kind of point the finger at what they did.

0:23:47.920 --> 0:23:49.320
<v Speaker 3>Do we blame them in some way?

0:23:49.600 --> 0:23:49.679
<v Speaker 4>No?

0:23:49.760 --> 0:23:51.760
<v Speaker 11>I mean it's interesting because we don't really know who

0:23:51.840 --> 0:23:54.680
<v Speaker 11>architected the deal that we feel started this trend, which

0:23:54.760 --> 0:23:58.560
<v Speaker 11>was Microsoft's aqu reverse aqu higher up inflection. We don't

0:23:58.600 --> 0:24:00.879
<v Speaker 11>really know who was that person center. Who are those people?

0:24:01.680 --> 0:24:01.840
<v Speaker 6>You know?

0:24:01.880 --> 0:24:04.720
<v Speaker 11>Reid Hoffman was a co founder of Inflection AI. He's

0:24:04.760 --> 0:24:07.160
<v Speaker 11>also a board member at Microsoft, so you know, imagine

0:24:07.200 --> 0:24:08.720
<v Speaker 11>he played a role. I would love for him to

0:24:08.720 --> 0:24:11.479
<v Speaker 11>talk about like how that came together, but it was.

0:24:12.080 --> 0:24:16.159
<v Speaker 11>It is quite an original method, and I think for

0:24:16.200 --> 0:24:18.520
<v Speaker 11>a while people were like, oh, so tricky, this is

0:24:18.560 --> 0:24:21.680
<v Speaker 11>going to totally work. Get past you know, anti trust scrutiny.

0:24:21.720 --> 0:24:22.560
<v Speaker 8>Norm will notice.

0:24:22.840 --> 0:24:24.520
<v Speaker 11>I do think at this point there have been enough

0:24:24.560 --> 0:24:26.760
<v Speaker 11>that you wonder, how is the FDC going to respond?

0:24:27.400 --> 0:24:29.719
<v Speaker 11>They do have investigations into several of these deals already.

0:24:29.760 --> 0:24:33.399
<v Speaker 5>They do they do, yeah, because this is meant to

0:24:33.640 --> 0:24:36.040
<v Speaker 5>or is a way to get around regulation, but still

0:24:36.080 --> 0:24:40.600
<v Speaker 5>has a lot of the same negatives, totally consequences of

0:24:40.720 --> 0:24:42.920
<v Speaker 5>the things that the regulation is meant to block in

0:24:42.960 --> 0:24:43.560
<v Speaker 5>the first place.

0:24:44.240 --> 0:24:46.080
<v Speaker 1>So what happens to these companies that are left behind?

0:24:46.240 --> 0:24:47.080
<v Speaker 1>Do they survive?

0:24:47.480 --> 0:24:50.520
<v Speaker 3>Some don't? Did they shift their focus? You write about this.

0:24:50.880 --> 0:24:51.800
<v Speaker 8>The all of the above.

0:24:52.000 --> 0:24:55.920
<v Speaker 11>Some of them have not survived and have basically become

0:24:55.960 --> 0:24:58.840
<v Speaker 11>what we just what we called zombie companies, where maybe

0:24:58.880 --> 0:25:01.800
<v Speaker 11>a couple people work there to kind of like keep

0:25:01.880 --> 0:25:05.680
<v Speaker 11>a few, you know, keep filing a few different PaperWorks,

0:25:05.720 --> 0:25:09.440
<v Speaker 11>and then eventually it shuts down. A couple of them

0:25:09.520 --> 0:25:12.960
<v Speaker 11>have really worked hard to stay afloat and are planning

0:25:13.040 --> 0:25:16.000
<v Speaker 11>to raise some more money to help. That's Inflection and

0:25:16.119 --> 0:25:19.280
<v Speaker 11>Character AI, which is a pretty well known chatbot company, right.

0:25:20.119 --> 0:25:21.880
<v Speaker 11>But yeah, a lot of them have pivoted because they've

0:25:21.880 --> 0:25:24.119
<v Speaker 11>had really had no choice, because they've lost, you know,

0:25:24.119 --> 0:25:26.439
<v Speaker 11>the original people who had the vision and maybe the

0:25:26.440 --> 0:25:28.919
<v Speaker 11>skills for what they were originally building. They've had to

0:25:28.960 --> 0:25:31.480
<v Speaker 11>pivot to kind of figure out who are we without

0:25:31.520 --> 0:25:35.080
<v Speaker 11>those original geniuses or whatever it was that started this company.

0:25:35.160 --> 0:25:37.320
<v Speaker 1>There's part of me that says all's fair in love

0:25:37.320 --> 0:25:40.439
<v Speaker 1>and war and capitalism, and so I do wonder like

0:25:40.480 --> 0:25:43.800
<v Speaker 1>how that lost, Thank you very much, But I mean

0:25:43.880 --> 0:25:47.439
<v Speaker 1>I also wonder about, you know, our venture capitalists then

0:25:47.520 --> 0:25:49.679
<v Speaker 1>going to be thinking, all right, I don't know, is

0:25:49.680 --> 0:25:52.760
<v Speaker 1>there something they write into future investments? Has become a

0:25:52.800 --> 0:25:55.400
<v Speaker 1>little bit stickier for those startup entrepreneurs.

0:25:55.400 --> 0:25:57.120
<v Speaker 11>I think, yeah, that's a really good question that I've asked,

0:25:57.119 --> 0:25:58.920
<v Speaker 11>and you know, it's funny, I think right now the

0:25:58.960 --> 0:26:02.440
<v Speaker 11>answers no, because venture capitalists right now have no leverage

0:26:02.520 --> 0:26:05.119
<v Speaker 11>with AI founders because everybody wants to give all these

0:26:05.119 --> 0:26:08.440
<v Speaker 11>AI founders one hundred million a billion dollars. They're competing

0:26:08.480 --> 0:26:10.560
<v Speaker 11>with every venture capital firm. They can't be like, well,

0:26:10.600 --> 0:26:12.920
<v Speaker 11>you also promised me that you won't make a deal,

0:26:13.520 --> 0:26:16.399
<v Speaker 11>you know, with Microsoft. They can't do that. So for now, no,

0:26:16.600 --> 0:26:18.840
<v Speaker 11>I think, you know, let's see how the market changes.

0:26:18.880 --> 0:26:21.000
<v Speaker 11>Let's see where the AI boom, you know, does it.

0:26:21.280 --> 0:26:23.720
<v Speaker 11>Does the bubble pop? You know, then things will change.

0:26:23.840 --> 0:26:26.040
<v Speaker 11>For right now, I would say, like the venture capitalists

0:26:26.119 --> 0:26:29.560
<v Speaker 11>don't have a lot of control over these situations.

0:26:29.600 --> 0:26:31.440
<v Speaker 1>Let's feel like an AI power grab right now.

0:26:31.520 --> 0:26:35.240
<v Speaker 5>Yeah, okay, so many different in your reporting for this story.

0:26:36.000 --> 0:26:40.120
<v Speaker 5>Did you talk to anyone who did say, like, this

0:26:40.160 --> 0:26:45.000
<v Speaker 5>is a ridiculous amount of money being spent and it's

0:26:45.160 --> 0:26:50.600
<v Speaker 5>just reminding people of nineteen ninety nine or you know,

0:26:51.520 --> 0:26:53.680
<v Speaker 5>another period when valuations.

0:26:53.160 --> 0:26:54.480
<v Speaker 7>Were so frothy that people.

0:26:54.359 --> 0:26:57.600
<v Speaker 11>Just twenty twenty one is what comes up the most often.

0:26:57.840 --> 0:27:00.280
<v Speaker 11>The bubble that occurred, you know, during the end of

0:27:00.280 --> 0:27:03.679
<v Speaker 11>the pandemic era, the zero interest rate era, that is

0:27:04.040 --> 0:27:06.120
<v Speaker 11>mostly what people compare it to. I mean absolutely yes,

0:27:06.160 --> 0:27:07.960
<v Speaker 11>you could compare it to the dot com boom, or

0:27:08.000 --> 0:27:11.120
<v Speaker 11>even like the crypto boom or there have been many

0:27:11.119 --> 0:27:13.360
<v Speaker 11>of them in the last twenty years, and I think

0:27:13.480 --> 0:27:16.359
<v Speaker 11>people right now have a lot of concerns about some

0:27:16.480 --> 0:27:18.160
<v Speaker 11>of those similarities.

0:27:18.200 --> 0:27:20.119
<v Speaker 3>What I love about these stories and BusinessWeek does this

0:27:20.200 --> 0:27:20.439
<v Speaker 3>so well.

0:27:20.560 --> 0:27:22.359
<v Speaker 1>Yeah, it's like a big trend that's happening, and we

0:27:22.440 --> 0:27:24.600
<v Speaker 1>talk about the execs and the companies and where things go.

0:27:24.720 --> 0:27:27.280
<v Speaker 1>But you know, at the end of the day, there

0:27:27.280 --> 0:27:30.160
<v Speaker 1>are people that are left in offices, and I'm assuming

0:27:30.200 --> 0:27:32.880
<v Speaker 1>you talked to a bunch of them. Tell us about

0:27:32.920 --> 0:27:35.000
<v Speaker 1>like just some of what you heard from those folks

0:27:35.000 --> 0:27:35.920
<v Speaker 1>that are kind of left behind.

0:27:35.960 --> 0:27:38.640
<v Speaker 11>I mean we heard like after one of these companies,

0:27:38.720 --> 0:27:43.520
<v Speaker 11>Cognition or sorry, Windsurf, after they completed a reverse ACU higher,

0:27:43.560 --> 0:27:45.480
<v Speaker 11>we heard that there were many employees who were like

0:27:45.640 --> 0:27:49.359
<v Speaker 11>sobbing in the offices that weekend, and you know, we're

0:27:49.400 --> 0:27:52.119
<v Speaker 11>devastated by it, and I think it really just damages,

0:27:52.680 --> 0:27:55.919
<v Speaker 11>like we said, the trust in this system. And if

0:27:55.920 --> 0:27:58.320
<v Speaker 11>you're just an average person working at one of these startups,

0:27:58.720 --> 0:28:00.520
<v Speaker 11>which you know there are startups all over the country,

0:28:00.560 --> 0:28:03.119
<v Speaker 11>all over the world, not everybody has the same understanding

0:28:03.160 --> 0:28:05.359
<v Speaker 11>of like what this is. And I think it's just

0:28:05.400 --> 0:28:08.560
<v Speaker 11>confusing and It's just created a lot of confusion and

0:28:08.600 --> 0:28:11.760
<v Speaker 11>distrust in this Silicon valley world.

0:28:11.880 --> 0:28:13.720
<v Speaker 1>I would say it's a risk right when you go

0:28:13.760 --> 0:28:16.959
<v Speaker 1>to a startup risk reward, but there's also you know,

0:28:17.160 --> 0:28:19.320
<v Speaker 1>maybe things are intensifying because of this, especially when it

0:28:19.320 --> 0:28:22.879
<v Speaker 1>comes to AI and the grab that we're seeing. Really

0:28:22.920 --> 0:28:28.320
<v Speaker 1>great story, great reporting, a new risk right, yet another

0:28:28.400 --> 0:28:31.640
<v Speaker 1>risk right, another thing that you kind of layer into this. Kate,

0:28:31.680 --> 0:28:33.240
<v Speaker 1>thank you so much, So glad we can get some

0:28:33.280 --> 0:28:36.000
<v Speaker 1>time with you. Bloomberg News Tech and venture capital reporter

0:28:36.119 --> 0:28:38.160
<v Speaker 1>Kate Clark. Check out our story. You can find it

0:28:38.240 --> 0:28:41.160
<v Speaker 1>on the Bloomberg and at Bloomberg dot com, slash BusinessWeek.

0:28:41.480 --> 0:28:43.200
<v Speaker 7>Are you here? Are you based out of New York?

0:28:43.400 --> 0:28:45.480
<v Speaker 7>You wrote the story with Sharon Gaffrey. I am based

0:28:45.520 --> 0:28:45.959
<v Speaker 7>out of New York.

0:28:46.000 --> 0:28:46.120
<v Speaker 9>Hey.

0:28:46.160 --> 0:28:50.480
<v Speaker 5>Yeah, really really well reported story and a great reading

0:28:50.840 --> 0:28:52.320
<v Speaker 5>on the terminal or in Business Week.

0:28:52.160 --> 0:28:53.960
<v Speaker 1>Like a snapshot of where we are right now on

0:28:54.040 --> 0:28:54.800
<v Speaker 1>so many different things.

0:28:55.040 --> 0:28:58.760
<v Speaker 2>You are listening to the Bloomberg Business Weekdaily podcast. Catch

0:28:58.880 --> 0:29:01.680
<v Speaker 2>us live weekday after News from two to five pm

0:29:01.720 --> 0:29:05.280
<v Speaker 2>Eastern Listen on Applecarplay and Android Auto with the Bloomberg

0:29:05.360 --> 0:29:08.800
<v Speaker 2>Business app, or watch us live on YouTube.

0:29:09.080 --> 0:29:12.240
<v Speaker 1>So We'll keeping a watch on shares of Axon Gaming

0:29:12.360 --> 0:29:15.000
<v Speaker 1>as much as well. Just shy of nineteen percent today

0:29:15.000 --> 0:29:18.600
<v Speaker 1>intra day the most sense February enough to reach a

0:29:18.640 --> 0:29:21.360
<v Speaker 1>record intra day high. Right now, the stock is up

0:29:21.760 --> 0:29:23.760
<v Speaker 1>just under fifteen percent. This is after the maker of

0:29:23.800 --> 0:29:27.520
<v Speaker 1>tasers and other public safety equipment reported second quarter earnings

0:29:27.520 --> 0:29:31.120
<v Speaker 1>per share of that topped expectations. Analysts also noted strong

0:29:31.160 --> 0:29:32.920
<v Speaker 1>bookings for the company's AI plan.

0:29:33.760 --> 0:29:36.840
<v Speaker 7>What look at the five year charts? I know, I

0:29:36.880 --> 0:29:38.440
<v Speaker 7>mean often who cares about today?

0:29:38.440 --> 0:29:41.400
<v Speaker 5>It's up eight hundred and twenty five percent over the

0:29:41.440 --> 0:29:42.880
<v Speaker 5>past five years.

0:29:43.160 --> 0:29:45.320
<v Speaker 3>It's had quite a run and a big move today.

0:29:45.440 --> 0:29:47.600
<v Speaker 1>I should point out that coming off of earning several

0:29:47.640 --> 0:29:50.360
<v Speaker 1>analysts including Barkley's and td Cow and raising their price

0:29:50.360 --> 0:29:52.479
<v Speaker 1>targets on the stock, it is up more than forty

0:29:52.480 --> 0:29:53.360
<v Speaker 1>percent year to date.

0:29:53.720 --> 0:29:55.320
<v Speaker 3>Let's get to it. Delighted to have.

0:29:55.320 --> 0:29:58.160
<v Speaker 1>With us Rick Smith, founder and CEO of Axon, to

0:29:58.240 --> 0:30:01.520
<v Speaker 1>talk about the business, the outlook.

0:30:01.920 --> 0:30:03.320
<v Speaker 3>Welcome, Welcome, Rick, How are you.

0:30:04.400 --> 0:30:05.760
<v Speaker 6>I'm having a good day?

0:30:06.080 --> 0:30:09.280
<v Speaker 1>All right, great, you are having a good day. Talk

0:30:09.280 --> 0:30:12.280
<v Speaker 1>to us about the business. Who's buying you know, what's

0:30:12.360 --> 0:30:14.640
<v Speaker 1>going on? We talk about tasers, but you go to

0:30:14.640 --> 0:30:17.520
<v Speaker 1>your website, you guys have videos to remind us that

0:30:17.600 --> 0:30:18.440
<v Speaker 1>you guys.

0:30:18.160 --> 0:30:20.160
<v Speaker 3>Are not just about that, You're about a lot more.

0:30:20.960 --> 0:30:22.800
<v Speaker 6>Yeah, that's why we changed the name of the company

0:30:22.840 --> 0:30:25.600
<v Speaker 6>to Axon a few years ago, because Taser is it

0:30:25.640 --> 0:30:29.120
<v Speaker 6>is a sledgehammer brand associated with our lessing the weapons.

0:30:29.440 --> 0:30:32.280
<v Speaker 6>That's where we started. That got us into body cameras

0:30:33.280 --> 0:30:37.360
<v Speaker 6>to basically help protect the public and police by preserving

0:30:37.360 --> 0:30:39.440
<v Speaker 6>a factual record of what they did. And then from

0:30:39.480 --> 0:30:41.880
<v Speaker 6>there we got into cloud software to manage all the data,

0:30:41.920 --> 0:30:44.600
<v Speaker 6>and then the business just exploded. So today we're the

0:30:44.600 --> 0:30:47.840
<v Speaker 6>market leader and in car video you know obviously body cameras,

0:30:48.360 --> 0:30:54.360
<v Speaker 6>record management systems, and drones and robotics through their partnerships

0:30:54.440 --> 0:30:56.920
<v Speaker 6>or first party things that we do I think the

0:30:57.000 --> 0:31:00.840
<v Speaker 6>largest virtual reality training business and public safety, and now

0:31:00.880 --> 0:31:04.600
<v Speaker 6>we're also expanding into adjacent markets. Any enterprise it as

0:31:04.600 --> 0:31:07.360
<v Speaker 6>a security function, has to be able to communicate with

0:31:07.400 --> 0:31:09.520
<v Speaker 6>their local police, and you can either do that through

0:31:09.560 --> 0:31:11.400
<v Speaker 6>an old school nine to one one call, or we

0:31:11.480 --> 0:31:13.960
<v Speaker 6>have a number of tools on our platform that allow you,

0:31:14.000 --> 0:31:16.320
<v Speaker 6>for example, if you're a school or a business, to

0:31:16.440 --> 0:31:19.160
<v Speaker 6>share your security cameras in an emergency with police. So

0:31:19.200 --> 0:31:21.600
<v Speaker 6>if you have something like an active shooter, you're not

0:31:21.640 --> 0:31:23.560
<v Speaker 6>trying to describe it over the phone. You can immediately

0:31:23.600 --> 0:31:27.120
<v Speaker 6>give video access to law enforcement at your control. You

0:31:27.120 --> 0:31:29.000
<v Speaker 6>can shut it off when it's not necessary. And then,

0:31:29.000 --> 0:31:31.520
<v Speaker 6>of course we're layering artificial intelligence on cross of this

0:31:32.320 --> 0:31:37.360
<v Speaker 6>entire enormous network of sensors so that we can try

0:31:37.360 --> 0:31:39.640
<v Speaker 6>to make everybody a little bit safer, but also doing

0:31:39.680 --> 0:31:43.400
<v Speaker 6>it in a way that is very cautious about privacy,

0:31:43.440 --> 0:31:45.040
<v Speaker 6>to make sure we're doing this in a way that

0:31:45.120 --> 0:31:47.640
<v Speaker 6>doesn't create out of control surveillance.

0:31:48.120 --> 0:31:51.000
<v Speaker 5>Rick your I mean, your investors will know, analysts will know,

0:31:51.120 --> 0:31:55.400
<v Speaker 5>but not everyone is familiar with your founding story, which

0:31:55.440 --> 0:31:59.080
<v Speaker 5>is intensely personal. Give us a quick recap of that,

0:31:59.160 --> 0:32:01.360
<v Speaker 5>and tell me if you you'll see the company's mission,

0:32:01.360 --> 0:32:06.640
<v Speaker 5>which is cutting police gun deaths as realistically achievable in

0:32:06.720 --> 0:32:08.080
<v Speaker 5>say this decade.

0:32:09.000 --> 0:32:13.040
<v Speaker 6>Yeah, so I started this. I was in business school

0:32:13.040 --> 0:32:16.440
<v Speaker 6>in Europe and I was having dinner with some people

0:32:16.520 --> 0:32:18.400
<v Speaker 6>there who were you know, we were all talking about

0:32:18.400 --> 0:32:20.360
<v Speaker 6>our hometown and they said I would never go to

0:32:20.400 --> 0:32:23.360
<v Speaker 6>America because of all the gun violence. And I said, well,

0:32:23.360 --> 0:32:25.480
<v Speaker 6>hold on, it's not like you see on television, and

0:32:25.520 --> 0:32:27.240
<v Speaker 6>then one of them asks me, do you know anybody

0:32:27.240 --> 0:32:30.120
<v Speaker 6>who's been shot and killed? And as I thought about it, well, yeah,

0:32:30.160 --> 0:32:33.280
<v Speaker 6>there's two guys from my high school football team, and look,

0:32:33.840 --> 0:32:36.760
<v Speaker 6>we weren't super close friends. But that's not the point.

0:32:36.760 --> 0:32:38.880
<v Speaker 6>The point of it was that all of us, I

0:32:39.000 --> 0:32:41.160
<v Speaker 6>mean I met each of you know people in your

0:32:41.200 --> 0:32:43.560
<v Speaker 6>immediate circle who've been shot and killed. This is a

0:32:43.600 --> 0:32:46.720
<v Speaker 6>problem that touches everybody. And by the time I added

0:32:46.760 --> 0:32:48.440
<v Speaker 6>it up, I think I know five or six people

0:32:48.760 --> 0:32:51.000
<v Speaker 6>who've been shot and killed. And that just struck me

0:32:51.040 --> 0:32:54.040
<v Speaker 6>as a bizarre state of the universe that the way

0:32:54.080 --> 0:32:57.360
<v Speaker 6>we protect ourselves in the nineteen nineties, much less twenty

0:32:57.400 --> 0:33:00.840
<v Speaker 6>twenty five, is shooting bullets of people. We were doing

0:33:00.840 --> 0:33:05.200
<v Speaker 6>that with like pirates in the sixteen hundreds, and so

0:33:05.520 --> 0:33:08.400
<v Speaker 6>we're on a mission to make the bullet obsolete by

0:33:08.480 --> 0:33:12.400
<v Speaker 6>creating better technology, basically something similar to Captain Kirk's phaser

0:33:12.720 --> 0:33:15.440
<v Speaker 6>from Star Trek fame. That's what we're out to build,

0:33:15.440 --> 0:33:17.400
<v Speaker 6>because if we have that weapon, it would no longer

0:33:17.400 --> 0:33:20.920
<v Speaker 6>make sense to shoot anybody. And yeah, we're getting pretty close.

0:33:21.000 --> 0:33:25.400
<v Speaker 6>Not it's not wireless like Captain Kirks but we are

0:33:25.440 --> 0:33:29.120
<v Speaker 6>approaching a level of reliability where we now have countries

0:33:29.160 --> 0:33:31.920
<v Speaker 6>outside of the US talking about using the taser instead

0:33:31.920 --> 0:33:34.320
<v Speaker 6>of a gun. In the US, you know, we wouldn't

0:33:34.320 --> 0:33:37.160
<v Speaker 6>suggest that, but we can suggest that the tasers came

0:33:37.200 --> 0:33:39.080
<v Speaker 6>to the point where you would use it first. It

0:33:39.080 --> 0:33:41.560
<v Speaker 6>would become your primary weapon and the gun would be

0:33:41.560 --> 0:33:43.920
<v Speaker 6>more of a backup only for the most extreme cases.

0:33:44.080 --> 0:33:45.880
<v Speaker 6>And if we achieve that, then yeah, we think we

0:33:45.920 --> 0:33:48.600
<v Speaker 6>can cut gun deaths in American policing by fifty percent

0:33:48.960 --> 0:33:50.400
<v Speaker 6>by twenty thirty three is our goal.

0:33:50.840 --> 0:33:54.000
<v Speaker 1>So, as you can understand, we're all feeling a little

0:33:54.000 --> 0:33:56.800
<v Speaker 1>sensitive this week here in New York City following the

0:33:56.840 --> 0:34:02.520
<v Speaker 1>active shooter at a office building on Park Avenue last

0:34:02.520 --> 0:34:05.960
<v Speaker 1>week where individuals lost their lives as well.

0:34:05.800 --> 0:34:08.680
<v Speaker 3>As policeman lost his lives.

0:34:08.719 --> 0:34:11.800
<v Speaker 1>So tell me about the numbers where you are seeing

0:34:12.520 --> 0:34:15.040
<v Speaker 1>that as a result of your devices, that things are

0:34:15.080 --> 0:34:19.680
<v Speaker 1>getting better, at least for police folks and security folks.

0:34:20.400 --> 0:34:23.560
<v Speaker 6>Well, we have not yet bent the curve, meaning we're

0:34:23.560 --> 0:34:27.120
<v Speaker 6>not seeing the numbers coming down, because the overall trend

0:34:27.160 --> 0:34:31.280
<v Speaker 6>is still slowly inching upward, although this year it's lower

0:34:31.320 --> 0:34:33.839
<v Speaker 6>than last year. But I think it's premature for us

0:34:33.880 --> 0:34:37.000
<v Speaker 6>to claim that that is our effect. Yet we do

0:34:37.120 --> 0:34:39.239
<v Speaker 6>know that over the past thirty years I've been doing this,

0:34:39.600 --> 0:34:42.880
<v Speaker 6>there's around three hundred thousand uses where police could have

0:34:42.960 --> 0:34:45.799
<v Speaker 6>been legally justified to use lethal force, but they were

0:34:45.840 --> 0:34:48.879
<v Speaker 6>able to resolve it with the taser instead. This next

0:34:48.920 --> 0:34:52.080
<v Speaker 6>two years is going to really be critical because up

0:34:52.160 --> 0:34:57.800
<v Speaker 6>until now, taser weapons have been largely used, not really

0:34:57.840 --> 0:35:00.080
<v Speaker 6>in the most critical situations. They would use it to

0:35:00.120 --> 0:35:03.160
<v Speaker 6>capture somebody who is potentially violent but not an immediate risk.

0:35:03.960 --> 0:35:06.800
<v Speaker 6>We've introduced a couple of key technologies that we're testing

0:35:06.840 --> 0:35:08.360
<v Speaker 6>now in the field, and I can go into detail

0:35:08.400 --> 0:35:12.640
<v Speaker 6>if you're interested, that we think move our effective reliability

0:35:12.760 --> 0:35:15.880
<v Speaker 6>up into the ninety nine percent area, at which point

0:35:16.360 --> 0:35:19.919
<v Speaker 6>then we think it becomes reasonable that the police would

0:35:19.960 --> 0:35:23.920
<v Speaker 6>begin using taser as their primary first weapon, always keeping

0:35:23.920 --> 0:35:25.520
<v Speaker 6>the taser the gun as a fallback.

0:35:26.280 --> 0:35:30.279
<v Speaker 5>Rick, you you mentioned business school in Europe. I guess

0:35:30.280 --> 0:35:34.000
<v Speaker 5>you went to school in Belgium before Chicago, but you

0:35:34.040 --> 0:35:39.400
<v Speaker 5>studied first neuroscience at Harvard. How does that kind of

0:35:39.440 --> 0:35:46.000
<v Speaker 5>background influence your decisions today at a company that touches

0:35:46.160 --> 0:35:47.480
<v Speaker 5>so many nerves.

0:35:48.200 --> 0:35:50.920
<v Speaker 6>Yeah, well, I mean the whole name of the company, Axon,

0:35:51.120 --> 0:35:54.200
<v Speaker 6>is a little bit of neurobio geek speak, because the

0:35:54.200 --> 0:35:56.279
<v Speaker 6>Axon is the name of the long nerve fibers that

0:35:56.360 --> 0:36:01.400
<v Speaker 6>connect your brain to your muscles, and indeed it touches

0:36:01.440 --> 0:36:04.640
<v Speaker 6>a number of ways. When I first wrote my college

0:36:04.680 --> 0:36:08.080
<v Speaker 6>application and actually showing my son I had a copy

0:36:08.120 --> 0:36:09.880
<v Speaker 6>of it, they asked, what do you want to do

0:36:09.920 --> 0:36:11.439
<v Speaker 6>with your life? And I said I wanted to build

0:36:11.520 --> 0:36:15.080
<v Speaker 6>robotic limbs. And it was like Luke Skywalker's robotic hand.

0:36:15.520 --> 0:36:18.600
<v Speaker 6>I love this idea of a machine that can interface

0:36:18.680 --> 0:36:21.440
<v Speaker 6>to the human body and almost become a part of you. Then,

0:36:21.520 --> 0:36:24.360
<v Speaker 6>after this incident and I make my interest rising in

0:36:24.400 --> 0:36:27.320
<v Speaker 6>gun violence, I took a different turn. Instead of building

0:36:27.320 --> 0:36:30.800
<v Speaker 6>a machine that your brain could control, I build machines

0:36:30.840 --> 0:36:32.920
<v Speaker 6>that control your body through your nervous system. I mean

0:36:32.960 --> 0:36:35.719
<v Speaker 6>that's what Ataser does. We plug in, we tune this

0:36:35.800 --> 0:36:39.800
<v Speaker 6>electricity so that it overwhelms communication, and you have something

0:36:39.800 --> 0:36:42.480
<v Speaker 6>that looks like a seizure. Because we're flooding your nervous

0:36:42.480 --> 0:36:46.360
<v Speaker 6>system with electrical energy. Your muscles lock up. I just

0:36:46.440 --> 0:36:49.920
<v Speaker 6>saw five people volunteer here in my office this morning.

0:36:50.520 --> 0:36:54.560
<v Speaker 6>It is a temporary effect, but extremely debilitating. And then

0:36:54.560 --> 0:36:56.680
<v Speaker 6>if we think about the other parts of our business.

0:36:57.560 --> 0:36:59.719
<v Speaker 6>When we got into the camera business, we realized the

0:36:59.760 --> 0:37:03.520
<v Speaker 6>camera themselves are kind of kind of interesting, but it's

0:37:04.040 --> 0:37:06.760
<v Speaker 6>it's not nearly the business that if we can connect

0:37:06.800 --> 0:37:09.880
<v Speaker 6>all these sensors together and begin to think of this

0:37:10.040 --> 0:37:12.840
<v Speaker 6>like a giant neural network, like for a police department

0:37:12.880 --> 0:37:16.560
<v Speaker 6>like an NYPD with a thirty five thousand officers. What

0:37:16.680 --> 0:37:19.360
<v Speaker 6>if we could begin to have live data feeds that

0:37:19.440 --> 0:37:22.719
<v Speaker 6>would enable command and control in more real time, so

0:37:22.719 --> 0:37:26.520
<v Speaker 6>we could identify, Hey, this situation is escalating, Let's send

0:37:26.560 --> 0:37:29.840
<v Speaker 6>reinforcements before the officer even calls over the radio. Or

0:37:29.880 --> 0:37:32.560
<v Speaker 6>we might even identify things like, hey, this situation over

0:37:32.600 --> 0:37:35.240
<v Speaker 6>here is spinning out of control. If you think about

0:37:35.760 --> 0:37:40.000
<v Speaker 6>all the horrible policing situations like George Floyd over the

0:37:40.000 --> 0:37:43.279
<v Speaker 6>past ten years, I believe now that any one of

0:37:43.280 --> 0:37:46.440
<v Speaker 6>those could be detected with AI running on the audio

0:37:46.560 --> 0:37:49.440
<v Speaker 6>video feed of a camera. And that is a capability

0:37:49.800 --> 0:37:52.879
<v Speaker 6>that we're building now. We do have live feeds now,

0:37:52.880 --> 0:37:56.680
<v Speaker 6>but to have live feeds being AI monitored in real time,

0:37:57.000 --> 0:37:59.399
<v Speaker 6>that'll happen in the next twelve months, and I think

0:37:59.440 --> 0:38:01.280
<v Speaker 6>that's going to be a huge boon to make policing

0:38:01.320 --> 0:38:05.960
<v Speaker 6>more effective, safer, and to help agencies identify if a

0:38:06.000 --> 0:38:09.120
<v Speaker 6>situation spinning out of control so they can intervene now

0:38:09.480 --> 0:38:13.120
<v Speaker 6>instead of you know, prosecuting somebody tomorrow, you know, if

0:38:13.160 --> 0:38:14.280
<v Speaker 6>something wrong is happening.

0:38:14.680 --> 0:38:17.880
<v Speaker 1>How much of your business's governments and I'm just curious.

0:38:18.280 --> 0:38:20.800
<v Speaker 1>It does feel like there's going to be some municipalities

0:38:21.520 --> 0:38:24.280
<v Speaker 1>under pressure in terms of funding, and I'm just curious

0:38:24.280 --> 0:38:27.360
<v Speaker 1>how that could play into or impact demand at your company.

0:38:28.440 --> 0:38:32.200
<v Speaker 6>Yeah, so we're still majority government business, but the fastest

0:38:32.239 --> 0:38:38.560
<v Speaker 6>growing segment is enterprise, and so the enterprise security is

0:38:38.560 --> 0:38:41.960
<v Speaker 6>two to three times larger than public policing in the

0:38:42.040 --> 0:38:44.880
<v Speaker 6>United States in terms of manpower, and so there's a

0:38:44.960 --> 0:38:46.799
<v Speaker 6>huge opportunity there. But if I come back to your

0:38:46.920 --> 0:38:50.799
<v Speaker 6>question about municipal policing, you know, I remember the two

0:38:50.840 --> 0:38:53.400
<v Speaker 6>thousand and eight financial crisis and others, And what we

0:38:53.440 --> 0:38:56.400
<v Speaker 6>have found is if you look at a police agency,

0:38:56.560 --> 0:39:00.800
<v Speaker 6>the majority of their spend is on cops, cars, in gas.

0:39:01.080 --> 0:39:04.319
<v Speaker 6>It's that's like ninety percent of their spend. So their

0:39:04.360 --> 0:39:07.960
<v Speaker 6>tech spend is a relatively small portion of their overall budget.

0:39:08.040 --> 0:39:11.239
<v Speaker 6>And when budgets get compressed. What we see is they

0:39:11.280 --> 0:39:13.719
<v Speaker 6>really look to technology where they're saying, look, we need

0:39:13.760 --> 0:39:15.959
<v Speaker 6>to get more efficient. We can't just throw bodies at things.

0:39:16.120 --> 0:39:19.040
<v Speaker 6>And I'll give you one example. Our first major AI

0:39:19.200 --> 0:39:22.680
<v Speaker 6>product using generatord ai is a service called Draft one,

0:39:23.000 --> 0:39:24.720
<v Speaker 6>and what we do very simply, we take your body

0:39:24.719 --> 0:39:27.680
<v Speaker 6>camera footage, we feed it through an AI model, and

0:39:27.719 --> 0:39:29.879
<v Speaker 6>we actually just use the audio. We don't even need

0:39:29.880 --> 0:39:33.080
<v Speaker 6>the video. We use the audio track and we do

0:39:33.160 --> 0:39:35.960
<v Speaker 6>the first draft of your police report because it turns out,

0:39:36.080 --> 0:39:38.880
<v Speaker 6>you know, police interactions are pretty standard. You know, he

0:39:38.960 --> 0:39:40.799
<v Speaker 6>oh man, what's your name? Data birth, you know why

0:39:40.840 --> 0:39:43.600
<v Speaker 6>I stopped you, and you can from that extract the

0:39:43.640 --> 0:39:48.200
<v Speaker 6>information that we need to put the structured report narrative together.

0:39:48.560 --> 0:39:52.200
<v Speaker 6>It's about the eighty percent completion and that basically means

0:39:52.200 --> 0:39:54.839
<v Speaker 6>we're cutting the amount of time police spend on bureaucracy

0:39:55.239 --> 0:39:58.040
<v Speaker 6>by up to sixty or seventy percent, which is meanither're

0:39:58.040 --> 0:39:59.000
<v Speaker 6>out doing more work.

0:39:59.080 --> 0:40:03.279
<v Speaker 5>Huge because only fourteen percent of police departments across the

0:40:03.400 --> 0:40:07.120
<v Speaker 5>nation are actually fully staffed, and in the most recent survey,

0:40:07.239 --> 0:40:10.239
<v Speaker 5>seventy five percent of police who responded said they do

0:40:10.320 --> 0:40:14.160
<v Speaker 5>want AI to help them out. It seems like and

0:40:14.239 --> 0:40:16.120
<v Speaker 5>this is not a pun on your neuroscience degree, but

0:40:16.200 --> 0:40:17.160
<v Speaker 5>seems like a no brainer.

0:40:18.640 --> 0:40:19.840
<v Speaker 3>It's a little bit of all.

0:40:19.880 --> 0:40:20.839
<v Speaker 6>I'm a little biased, but I.

0:40:20.800 --> 0:40:24.920
<v Speaker 1>Think so, Hey, just thirty seconds. I'm curious because we

0:40:25.000 --> 0:40:27.280
<v Speaker 1>talked about I think robotics kind of came.

0:40:27.200 --> 0:40:28.520
<v Speaker 3>Up and you talked about your interest.

0:40:28.719 --> 0:40:31.840
<v Speaker 5>Empire strikes back the last scene, you know, Luke Skywalker

0:40:31.960 --> 0:40:32.439
<v Speaker 5>with his hand.

0:40:32.640 --> 0:40:35.840
<v Speaker 1>Yes, Like, is robotics something that you guys are thinking

0:40:35.840 --> 0:40:37.360
<v Speaker 1>in terms of security going forward?

0:40:37.400 --> 0:40:39.240
<v Speaker 3>Is that an area that you guys might.

0:40:39.320 --> 0:40:44.120
<v Speaker 6>Stay tuned, stay tuned. The solution to the American gun

0:40:44.200 --> 0:40:48.239
<v Speaker 6>violence problem, in my personal belief is we've got to

0:40:48.320 --> 0:40:50.160
<v Speaker 6>change the game. And what I mean by that is today,

0:40:50.200 --> 0:40:53.719
<v Speaker 6>when an active shooter shows up, they have no illusions

0:40:53.760 --> 0:40:55.800
<v Speaker 6>they're going to come out of it alive. They want

0:40:55.840 --> 0:40:58.640
<v Speaker 6>to go down in some sick twisted vision of a

0:40:59.400 --> 0:41:03.520
<v Speaker 6>glorious gun battle with the police. In a couple of years,

0:41:03.719 --> 0:41:05.399
<v Speaker 6>we are going to deny them that if you show

0:41:05.480 --> 0:41:07.920
<v Speaker 6>up with a gun somewhere, we will zip in very

0:41:08.000 --> 0:41:10.920
<v Speaker 6>quickly with a robot using less lethal force. You'll be

0:41:11.000 --> 0:41:14.400
<v Speaker 6>arrested and under control very quickly, and we're going to

0:41:14.400 --> 0:41:20.319
<v Speaker 6>deny them the entire sort of motivation to get in

0:41:20.400 --> 0:41:22.600
<v Speaker 6>gun fights. And I think we can do things with

0:41:22.719 --> 0:41:25.160
<v Speaker 6>drones and robotics that you could never do with people,

0:41:25.239 --> 0:41:27.759
<v Speaker 6>and we can do it without having to resort to

0:41:27.840 --> 0:41:30.759
<v Speaker 6>lethal force. So stay tuned. We're making a big play

0:41:30.760 --> 0:41:31.360
<v Speaker 6>in that space.

0:41:31.600 --> 0:41:34.400
<v Speaker 3>Sounds like you got to come back real soon. So appreciated,

0:41:34.480 --> 0:41:35.160
<v Speaker 3>So appreciate it.

0:41:35.239 --> 0:41:38.200
<v Speaker 1>Rick Smith be Well, founder and CEO of ex On

0:41:38.320 --> 0:41:41.000
<v Speaker 1>joining us on this Tuesday. And as we mentioned, we're

0:41:41.000 --> 0:41:43.560
<v Speaker 1>seeing that stock move in a big way following me

0:41:43.600 --> 0:41:44.360
<v Speaker 1>its latest results.

0:41:44.400 --> 0:41:45.399
<v Speaker 3>Let me just pull it up for.

0:41:45.360 --> 0:41:48.040
<v Speaker 7>You can add that guy to the list of guests.

0:41:48.160 --> 0:41:48.719
<v Speaker 3>Don't take it.

0:41:48.840 --> 0:41:51.759
<v Speaker 7>I steal from your show and use on my show.

0:41:52.239 --> 0:41:54.280
<v Speaker 3>Do not have that co host anymore?

0:41:54.520 --> 0:41:55.520
<v Speaker 7>Done?

0:41:56.440 --> 0:41:56.719
<v Speaker 9>All right?

0:41:57.040 --> 0:41:59.400
<v Speaker 5>One story, I mean, what an incredible the stock chart

0:41:59.440 --> 0:42:02.760
<v Speaker 5>is a maz The story behind it. When he started

0:42:02.760 --> 0:42:05.560
<v Speaker 5>that company in nineteen ninety three, Well he's been at

0:42:05.600 --> 0:42:07.680
<v Speaker 5>this for thirty two years.

0:42:07.800 --> 0:42:10.080
<v Speaker 1>I love these people who come have different backgrounds. It's

0:42:10.080 --> 0:42:12.000
<v Speaker 1>like doctors who are engineers who are looking at the

0:42:12.040 --> 0:42:14.000
<v Speaker 1>body in a different payment. Here he is in terms

0:42:14.040 --> 0:42:17.759
<v Speaker 1>of his background and understanding how the brain works and

0:42:17.800 --> 0:42:18.760
<v Speaker 1>the impact on things.

0:42:19.920 --> 0:42:25.279
<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify,

0:42:25.400 --> 0:42:29.120
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0:42:29.160 --> 0:42:33.200
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0:42:33.239 --> 0:42:37.160
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0:42:37.360 --> 0:42:40.120
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0:42:40.360 --> 0:42:42.520
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