WEBVTT - Jobs, Tech Layoffs, and Baby Formula

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller. Every business day, we bring

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<v Speaker 1>you interviews from CEOs, market pros, and Bloomberg experts, along

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<v Speaker 1>with essential market moving news. Find the Bloomberg Markets Podcast

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<v Speaker 1>on Apple Podcasts or wherever you listen to podcasts, and

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<v Speaker 1>at Bloomberg dot com slash podcast. Let's get to this

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<v Speaker 1>job Stata, let's get to this economy. Let's get to

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<v Speaker 1>this federal reserve. Jeff Cleveland, chief US economists have paid

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<v Speaker 1>in in regal Jeff. I don't know what your forecast

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<v Speaker 1>was for the job's number, but good morning. I can't imagine, Jeff,

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<v Speaker 1>he has five seventeen thousand dollars in your model five

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<v Speaker 1>seventeen thousand jobs. I had plus two twenty three. I'll

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<v Speaker 1>admit that, so I goes a little above consensus. But wow,

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<v Speaker 1>this just blew me away. I think my initial reaction was, wait,

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<v Speaker 1>what exactly is that an error? I mean, I love

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<v Speaker 1>reports like this. It completely up ends the narrative I've

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<v Speaker 1>been getting from clients and colleagues, you know, the talk

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<v Speaker 1>of an imminent recession. Uh, it's hard to find something

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<v Speaker 1>that I don't like in this job's report, it's hard

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<v Speaker 1>to I guess what I've been saying, maybe just because

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<v Speaker 1>I don't know. It's tough to forecasts of recession when

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<v Speaker 1>everybody's got a job, isn't it. Absolutely? I mean, at

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<v Speaker 1>the end of the day, when we look at things,

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<v Speaker 1>if if people are employed, they're working more hours average,

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<v Speaker 1>I only earned is still growing at a pretty decent clip,

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<v Speaker 1>plus over four percent year on year. Uh, that's your

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<v Speaker 1>spending power and to consume the economy of seventy consumer.

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<v Speaker 1>So ultimately you can't be too barished in that situation.

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<v Speaker 1>The time where we would get much more bearished would

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<v Speaker 1>be if aggregate incomes are dropping. And you know, that's

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<v Speaker 1>what you saw before two thousand and eight, and we're

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<v Speaker 1>not seeing that here in this data. So I mean,

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<v Speaker 1>what does it mean to the Fed? What does this

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<v Speaker 1>mean to Jerome Powell, who like doved out on Wednesday, Well,

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<v Speaker 1>it kind of explains a lot. Like he strode out

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<v Speaker 1>to the podium, right, and he and he was getting

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<v Speaker 1>pushed back right for some of the reporters, and he's like, okay,

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<v Speaker 1>you have your forecast, I have mine, all right, we'll

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<v Speaker 1>see And he was sort of you know, he and

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<v Speaker 1>pushed back heavily, and the market took that as devilishness.

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<v Speaker 1>But you know, now that you see this data report,

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<v Speaker 1>it's like, oh, okay, yeah, he has his forecast and

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<v Speaker 1>he they said ongoing increases, So a couple of more

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<v Speaker 1>rate hikes get you up over five. I think with

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<v Speaker 1>this data that's a slam dunk. I mean, so he

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<v Speaker 1>was he kind of knew, Um, the economy is so strong,

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<v Speaker 1>we're really going to continue. We'll say we're data dependent

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<v Speaker 1>so we don't freak the markets out. Yeah. I mean,

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<v Speaker 1>I don't know if you had this in hand, but

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<v Speaker 1>I'm just saying, like, now in retrospect, it seems much

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<v Speaker 1>more like, you know, he didn't need to aggressively push

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<v Speaker 1>back and try to you know, try to lecture anyone.

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<v Speaker 1>He's like the way of one other question that I'll

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<v Speaker 1>put to you, uh, Jeffrey Um, as an economist, how

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<v Speaker 1>accurate are these jobs numbers? I mean I have heard

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<v Speaker 1>that there is a margin of error of around two

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<v Speaker 1>hundred and fifty thousand. I haven't heard anyone say that

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<v Speaker 1>for ten years. But is that the case or you know,

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<v Speaker 1>in the tents, we would say, you know, the number

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<v Speaker 1>could come out anywhere between plus one hundred thousand and

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<v Speaker 1>plus three hundred thousand, and it would be within the

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<v Speaker 1>realm of possibly that would be accurate. So there are

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<v Speaker 1>pretty pretty decent error bars on this UM. But you know,

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<v Speaker 1>they revised these things annually. They mark them to tax

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<v Speaker 1>uh tax rolls. So I think this is uh the

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<v Speaker 1>as far as the economic data goes, this is pretty solid.

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<v Speaker 1>I'd rather relye on non foreign payrolls than purchasing manager

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<v Speaker 1>and disease, you know, surveys like that, So I think

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<v Speaker 1>this is I think this is pretty good. All right, Jeff,

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<v Speaker 1>thanks so much. We appreciate that. Jeffrey Cleveland, he's the

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<v Speaker 1>chief EOS economist of Payton and Regal. Our C suite

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<v Speaker 1>conversation today, Matt Calkin, CEO of apien UH joins us

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<v Speaker 1>to talk about his company, talk about tech, talk about

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<v Speaker 1>the tough year two that was for tech stocks. UM. Matt,

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<v Speaker 1>thanks so much for joining us here. Apien nasdac happien

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<v Speaker 1>ap up on your phone, okay, cool? Appien app N

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<v Speaker 1>is the ticker to put into your Bloomberg terminal of

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<v Speaker 1>the stock trade on NASAC. UH. Just give us the

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<v Speaker 1>thirty second kind of elevator pitch. What is apping? What

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<v Speaker 1>are you guys doing? Where do you play in this

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<v Speaker 1>tech stack? Sure it's good to be on. Hey, we

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<v Speaker 1>do process automation. Process automation means that we are organizing

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<v Speaker 1>a process from the very beginning to the end through

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<v Speaker 1>an organizations. You plant, you program it, you automated, you

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<v Speaker 1>execute it, and you revise it. Everything to do with

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<v Speaker 1>the process, and that's that's how organizations make the changes

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<v Speaker 1>and automate the behaviors that they do. So processes are

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<v Speaker 1>really central to the way large organizations behave and automation, well,

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<v Speaker 1>that's just uh, that's just when software helps you do

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<v Speaker 1>the work. Usually software is kind of a tool, like

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<v Speaker 1>if you use a product, it's helping you. But automation

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<v Speaker 1>is when software literally does the work. So we're talking

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<v Speaker 1>about artificial intelligence, robotic process automation, tools and rules that

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<v Speaker 1>allow you to delegate your work to software. So, uh,

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<v Speaker 1>last year was tough for tech companies and as we've

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<v Speaker 1>been saying, there's a real turnaround this year. Stock is

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<v Speaker 1>no different. It just goes up and almost a straight

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<v Speaker 1>line at the beginning of this year. What do you

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<v Speaker 1>think has made investors reconsider was it just like tax loss,

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<v Speaker 1>harvesting and December that they're coming back to buy now.

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<v Speaker 1>It's kind of funny. And I heard you talking about

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<v Speaker 1>Apple a moment ago, and I think the same phenomena

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<v Speaker 1>is happening across the tech sector right now. We're seeing

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<v Speaker 1>the prices have been driven more by mood than by

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<v Speaker 1>the underlying value of the organizations, and so Apple can

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<v Speaker 1>deliver a result which you could question, and yet the

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<v Speaker 1>stock is up and Appen stock has been rising on well,

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<v Speaker 1>not very much news, and I think it's just an

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<v Speaker 1>alleviation of some of the mood that's been holding holding

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<v Speaker 1>stocks where they were. So give us your sense of

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<v Speaker 1>kind of what you're hearing from your customers in terms

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<v Speaker 1>of how they view kind of their their tech spend.

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<v Speaker 1>Here there's you know where it definitely concerned about a

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<v Speaker 1>recession in the general economy in twenty three and what

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<v Speaker 1>a discussions you're having to your clients about what they're

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<v Speaker 1>doing with their tech spend. Yeah, that's right, Well, there

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<v Speaker 1>is concerned about a recession, and I think that particularly

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<v Speaker 1>when there's a recession, that the high rates to come

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<v Speaker 1>with that are a weight on tech stocks, particularly because

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<v Speaker 1>so much of the value of the tech stock is

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<v Speaker 1>out in the distance, so you have to depreciate it

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<v Speaker 1>according to whatever interest rates do you think we're going

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<v Speaker 1>to prevail. We see customers right now trying to moderate

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<v Speaker 1>their risk, trying to plan for change, and and also

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<v Speaker 1>they're worried about productivity in the labor market. There's a

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<v Speaker 1>lot of volatility right now in that and of course

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<v Speaker 1>we've got this big job's number just recently, but we

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<v Speaker 1>don't know where the labor market is going. We don't

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<v Speaker 1>know about the supply of jobs right which is how

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<v Speaker 1>many jobs the employers are willing to create. But we

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<v Speaker 1>also don't know how about the supply of labor, which

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<v Speaker 1>has been unusually volatile since COVID, and it's still up

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<v Speaker 1>in the air. And we don't know about the productivity

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<v Speaker 1>which may change post COVID, according to people working in

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<v Speaker 1>a dispersed way or people being augmented by other technologies

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<v Speaker 1>like AI. AI is a huge topic right now here.

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<v Speaker 1>Everybody talking about it, and I think that the last

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<v Speaker 1>cold months has been a unique to break through in

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<v Speaker 1>the history of this technology. It's it's still a demo, honestly,

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<v Speaker 1>it's just a really good demo at this point, things

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<v Speaker 1>like chat, GPT and UH and Dolly are showing that

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<v Speaker 1>AI is extraordinarily powerful. And the other shoe that's waiting

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<v Speaker 1>to drop, that everybody's asking about talking about is when

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<v Speaker 1>will this move human productivity numbers? When are we going

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<v Speaker 1>to see this effected businesses instead of just just a

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<v Speaker 1>great demonstration of its power. When is it going to

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<v Speaker 1>be truly meaningful? Uh to the to the income statement

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<v Speaker 1>and and it's coming. So when will it beat you

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<v Speaker 1>at a board game? I can do it already had

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<v Speaker 1>a good really, so listeners may not know, but Matt

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<v Speaker 1>is um. He's authored several award winning board games, and

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<v Speaker 1>he's often the top finisher. Have you won the World

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<v Speaker 1>Board Gaming Championships? My best finish was third? Okay, So,

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<v Speaker 1>but there's there are apps out there that can beat

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<v Speaker 1>you and complicated I mean, is there AI out there?

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<v Speaker 1>Excuse me? They can beat you in a complicated board

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<v Speaker 1>game at chess or go absolutely and I think at

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<v Speaker 1>poker at this point there and then much better. And

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<v Speaker 1>it's the other games. The only reason why it can't

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<v Speaker 1>beat me is that no programmer has bothered to put

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<v Speaker 1>the time into it. AI at this point is exceptionally

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<v Speaker 1>good at systems in which the rules don't change quickly,

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<v Speaker 1>like driving or playing chess, or interpreting a photograph to

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<v Speaker 1>see how much damage there is to your car or

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<v Speaker 1>whether there's a kitten in the picture. AI is really

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<v Speaker 1>good when the rules don't change. The only hope for

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<v Speaker 1>us humans is that that that the rules in our

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<v Speaker 1>world change pretty fast. So, Matt, you've got we've got

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<v Speaker 1>just thirty seconds here, But are you putting this to

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<v Speaker 1>work at Appian? Are you using AI as well? Oh?

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<v Speaker 1>Absolutely absolutely, we were already integrating uh chat yv team.

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<v Speaker 1>We've had a AI for years, particularly for interpreting documents,

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<v Speaker 1>but it's one of the core things that our customers

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<v Speaker 1>are asking of us now. All right, Matt, thanks so

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<v Speaker 1>much for joining us. Really appreciate it. Uh, Matt Calkins,

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<v Speaker 1>He's see you on founder of Appian, the nastack symbols

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<v Speaker 1>a P P and plug into your Bloomberg terminal. Uh,

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<v Speaker 1>really interesting company. All right, let's get back to the uh.

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<v Speaker 1>The job's number, the payroll number again, the raw number,

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<v Speaker 1>the top line number, seventeen thousand jobs added. That gets

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<v Speaker 1>your attention. Unemployment rate down the three point four percent,

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<v Speaker 1>another headline number, that gets your attention and average hourly

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<v Speaker 1>earnings up four point four percent. Let's break it all

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<v Speaker 1>down like we like to do when we get these

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<v Speaker 1>numbers with Tom Gibble, founder and CEO of Lasal Network.

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<v Speaker 1>Lassal Network is a national staffing recruiting firm. Uh, Tom,

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<v Speaker 1>just blow out numbers. Help us find some perspective here.

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<v Speaker 1>Everybody's wrong and nobody gets it. My man, there you go.

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<v Speaker 1>What what did you take away? I took away that

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<v Speaker 1>the economy is extremely healthy, and I think what you

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<v Speaker 1>see with the stock market going down is that what

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<v Speaker 1>everybody knows is that the Fed's gonna raise interest rates.

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<v Speaker 1>And what nobody's saying is the Fed's gonna raise raise

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<v Speaker 1>interest rates because they can because the economy will tolerate it.

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<v Speaker 1>Because this economy is is so strong with labor and

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<v Speaker 1>jobs and wages increasing that companies can afford to borrow

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<v Speaker 1>money and actually pay for it versus zero percent. And

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<v Speaker 1>I think that raising interest rates is making up for

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<v Speaker 1>what wasn't done during the last decade. And we've got

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<v Speaker 1>a really strong economy. So you go back into Oh

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<v Speaker 1>recession was based purely on academic analytics. Analytics of two

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<v Speaker 1>consecutive negative GDP quarters, but you were comparing it against

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<v Speaker 1>the best year ever, because it was compared to the

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<v Speaker 1>worst year ever, And so you know, we're really just

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<v Speaker 1>at a really strong standpoint and a half a million

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<v Speaker 1>new jobs is awesome, And does that seem in line

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<v Speaker 1>with what you expect to keep happening? Are we I mean,

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<v Speaker 1>maybe we won't see five hundred thousand again, but are

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<v Speaker 1>we gonna keep seeing two D three D over the

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<v Speaker 1>next coming months? Yeah, I think you're gonna see see

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<v Speaker 1>you know, two hundred thousand, give or take, meaning you know,

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<v Speaker 1>maybe you have one fifty, maybe you have to fifty,

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<v Speaker 1>but but I think on average will be will be

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<v Speaker 1>in that that two area code. And I think that

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<v Speaker 1>the point of that is saying that small and medium

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<v Speaker 1>sized companies, which everybody has always said drives the economy

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<v Speaker 1>and it drives hiring, and now it really is. As

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<v Speaker 1>we see big tech laid people off, and we see

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<v Speaker 1>some other companies lay people off, and guess what we're

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<v Speaker 1>gonna see over the next six to nine months. We're

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<v Speaker 1>gonna see the beginning of the infrastructure package, and there's

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<v Speaker 1>gonna be those jobs that are gonna becoming good. So

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<v Speaker 1>I think we're gonna have a relatively healthy twenty three

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<v Speaker 1>tom Any regionality to the labor market here. Sometimes you know,

0:11:40.880 --> 0:11:43.520
<v Speaker 1>when you see you might see the Sunbelt do better

0:11:43.600 --> 0:11:45.600
<v Speaker 1>than you know, the Rust Belt in those types of things.

0:11:45.600 --> 0:11:48.400
<v Speaker 1>Are we've seen that this time around. Yeah, I think

0:11:48.400 --> 0:11:51.880
<v Speaker 1>we're we're we're getting We're continuing to see the rise

0:11:51.960 --> 0:11:56.240
<v Speaker 1>of the of the of the Southern states from Texas

0:11:56.320 --> 0:11:59.280
<v Speaker 1>to Florida and everything in between. And you're seeing you know,

0:11:59.320 --> 0:12:02.920
<v Speaker 1>big tech in California and and letting people go in

0:12:03.000 --> 0:12:05.400
<v Speaker 1>that way and where the laws are. And I think

0:12:05.440 --> 0:12:08.559
<v Speaker 1>we'll continue to see the evolution of Red States in

0:12:08.600 --> 0:12:12.040
<v Speaker 1>the service level economy. I think we're gonna see, uh,

0:12:12.080 --> 0:12:16.360
<v Speaker 1>really a growth in in in cities like Birmingham and

0:12:16.400 --> 0:12:19.040
<v Speaker 1>in that Raleigh, Durham and that Charlotte. You're gonna see

0:12:19.080 --> 0:12:21.839
<v Speaker 1>Miami continuing to get great. I mean, I'm seeing more

0:12:21.840 --> 0:12:24.600
<v Speaker 1>and more companies that are doing hiring in Tampa. I

0:12:24.640 --> 0:12:27.440
<v Speaker 1>think you're seeing that evolution that that those cities in

0:12:27.480 --> 0:12:30.520
<v Speaker 1>those in those Red States are are going to continue

0:12:30.559 --> 0:12:33.480
<v Speaker 1>to be where companies want to hire people in the

0:12:33.520 --> 0:12:39.640
<v Speaker 1>service business. And what has historically been a manufacturing car manufacturing, UH,

0:12:39.679 --> 0:12:43.120
<v Speaker 1>furniture manufacturing area, will we'll move into a white collar

0:12:43.200 --> 0:12:47.000
<v Speaker 1>service area. What's your take time? On wages, we saw

0:12:47.640 --> 0:12:50.839
<v Speaker 1>average hourly earnings four point three percent year over year,

0:12:50.920 --> 0:12:54.600
<v Speaker 1>so a slight climbs zero point from um last month?

0:12:55.640 --> 0:12:58.559
<v Speaker 1>Are workers getting enough to you run on the leading

0:12:59.080 --> 0:13:01.640
<v Speaker 1>placement firms in the country. Are the people you're placing

0:13:01.800 --> 0:13:06.439
<v Speaker 1>happy with the pay they're getting? Well? I think I think,

0:13:06.720 --> 0:13:10.520
<v Speaker 1>uh uh. If you ask an employee if they're happy

0:13:10.559 --> 0:13:13.440
<v Speaker 1>with their pay, no matter what the number is the

0:13:13.480 --> 0:13:17.280
<v Speaker 1>majority and we're gonna say no. Um, it's like a

0:13:17.320 --> 0:13:19.720
<v Speaker 1>divorce settlement that one party is always gonna think they

0:13:19.720 --> 0:13:21.760
<v Speaker 1>paid too much, one party is always gonna think they

0:13:21.760 --> 0:13:24.560
<v Speaker 1>got too little. And and I think that that's what

0:13:24.559 --> 0:13:27.800
<v Speaker 1>what wages are. However, what I mean, though, is do

0:13:27.880 --> 0:13:30.240
<v Speaker 1>they have enough money to keep up with inflation? Or

0:13:30.440 --> 0:13:33.800
<v Speaker 1>are they having to say, you know, cut money on

0:13:33.840 --> 0:13:37.079
<v Speaker 1>their food bill or you know, drive a loss. But

0:13:37.280 --> 0:13:39.480
<v Speaker 1>answer it this way and say, I think they're in

0:13:39.480 --> 0:13:42.800
<v Speaker 1>the exact same boat that they were three years ago

0:13:43.000 --> 0:13:46.679
<v Speaker 1>before inflation on lower wages. What we've done is is

0:13:46.720 --> 0:13:50.000
<v Speaker 1>just changed the narrative. So you're making more things cost more,

0:13:50.000 --> 0:13:52.240
<v Speaker 1>and before you were making less and things cost less.

0:13:52.440 --> 0:13:54.840
<v Speaker 1>People are in the exact same boat as they were before.

0:13:55.200 --> 0:13:58.360
<v Speaker 1>What they're complaining about is saying I should be able

0:13:58.400 --> 0:14:02.719
<v Speaker 1>to do more because I'm making more money what they did.

0:14:02.720 --> 0:14:06.360
<v Speaker 1>What the layman doesn't realize is when wages rise as

0:14:06.400 --> 0:14:09.559
<v Speaker 1>fast as they have, things are gonna cost more. This

0:14:09.600 --> 0:14:11.520
<v Speaker 1>is economics one O one that should be taught in

0:14:11.600 --> 0:14:14.000
<v Speaker 1>high school that people are now learning in real life.

0:14:14.240 --> 0:14:17.319
<v Speaker 1>And that's the problem, uh in the ballot box to

0:14:18.000 --> 0:14:21.280
<v Speaker 1>grocery aisle and what we're dealing with now. And I

0:14:21.320 --> 0:14:24.000
<v Speaker 1>think that that's the standard situation. And I think that

0:14:24.080 --> 0:14:26.720
<v Speaker 1>you're not gonna see wages increase. I I don't. I

0:14:26.800 --> 0:14:29.200
<v Speaker 1>don't think so. I think they're gonna level off. And

0:14:29.240 --> 0:14:31.720
<v Speaker 1>what we're seeing with the tech layoffs is that the

0:14:31.760 --> 0:14:34.120
<v Speaker 1>tech companies continue to hire. They got rid of their

0:14:34.160 --> 0:14:36.600
<v Speaker 1>poor performers, and if they bring people back, they're not

0:14:36.680 --> 0:14:39.400
<v Speaker 1>doing it at the exuberant wages that they were twelve

0:14:39.440 --> 0:14:42.720
<v Speaker 1>months ago. Tom, you're a proud graduate of the University

0:14:42.720 --> 0:14:45.600
<v Speaker 1>of Colorado. How fired up are you for coach Prime?

0:14:46.240 --> 0:14:48.880
<v Speaker 1>Let me tell you something. I have not had my

0:14:48.960 --> 0:14:52.040
<v Speaker 1>phone buzz more than it has in the past sixty days.

0:14:52.320 --> 0:14:55.000
<v Speaker 1>And we are not only gonna win the Pack twelve,

0:14:55.440 --> 0:14:58.720
<v Speaker 1>we are gonna be an elite power five and within

0:14:58.840 --> 0:15:01.920
<v Speaker 1>two years will be the playoff. There you go, and

0:15:01.960 --> 0:15:05.640
<v Speaker 1>that is a sentiment. I've never seen a coach is

0:15:05.800 --> 0:15:09.000
<v Speaker 1>hiring have more of an impact on an institution than

0:15:09.120 --> 0:15:11.960
<v Speaker 1>Dion Sanders at the University of Colorado. So, Tom, thanks

0:15:11.960 --> 0:15:13.720
<v Speaker 1>so much for joining us there. Tom is a founder

0:15:13.720 --> 0:15:17.600
<v Speaker 1>and CEO of LaSalle Network. UH, big big national staffing company.

0:15:17.600 --> 0:15:19.560
<v Speaker 1>And you know he's been bullish about this job market

0:15:19.600 --> 0:15:23.200
<v Speaker 1>for the longest time. Uh, and he's been right, been right.

0:15:25.640 --> 0:15:28.000
<v Speaker 1>Let's get to the story that we were talking about

0:15:28.040 --> 0:15:30.360
<v Speaker 1>a little bit last year. At one point, you know,

0:15:30.480 --> 0:15:32.600
<v Speaker 1>you think we had so many shortages of so many products.

0:15:32.680 --> 0:15:36.160
<v Speaker 1>One of the more serious ones was uh, baby formula.

0:15:36.360 --> 0:15:38.920
<v Speaker 1>And at the time we spoke to Laura Modi, CEO

0:15:39.000 --> 0:15:42.040
<v Speaker 1>and founder a baby formula company Bobby Uh. She joins

0:15:42.120 --> 0:15:44.080
<v Speaker 1>us again today, So Laura, thanks so much for joining

0:15:44.120 --> 0:15:46.200
<v Speaker 1>us here. Can you give us an update on kind

0:15:46.200 --> 0:15:50.680
<v Speaker 1>of the baby formula market supply, demand, availability? Where are

0:15:50.720 --> 0:15:52.880
<v Speaker 1>we right now? Yeah? Good to charge you guys again.

0:15:53.440 --> 0:15:55.600
<v Speaker 1>I look, it has been a long year. I mean,

0:15:55.640 --> 0:16:00.000
<v Speaker 1>you can coin last year's formula the shortage with severe

0:16:00.120 --> 0:16:02.120
<v Speaker 1>and it really was one of the most serious shortages

0:16:02.160 --> 0:16:04.400
<v Speaker 1>we've had in a long time. I would say, while

0:16:04.400 --> 0:16:08.920
<v Speaker 1>the shortages coming to a close, it still remains a crisis. Fundamentally.

0:16:09.080 --> 0:16:12.720
<v Speaker 1>We have not addressed the problem, which is domestic supply,

0:16:12.960 --> 0:16:18.120
<v Speaker 1>domestic manufacturing. So until we both stir our domestic manufacturing practices,

0:16:18.160 --> 0:16:21.960
<v Speaker 1>we may be in this crisis for a long time. So, um,

0:16:22.200 --> 0:16:25.480
<v Speaker 1>what does it look like then out there for mothers

0:16:25.560 --> 0:16:29.520
<v Speaker 1>who need formula? Are they able to get any formula?

0:16:29.760 --> 0:16:33.760
<v Speaker 1>Is it just um, you know, high quality formulas in

0:16:33.920 --> 0:16:38.160
<v Speaker 1>short supply or what's what's it look like? We're coming

0:16:38.240 --> 0:16:42.440
<v Speaker 1>up on a year since the Abbot recall happened, and

0:16:42.480 --> 0:16:46.000
<v Speaker 1>since the shortage started, and as of last week nearly

0:16:46.040 --> 0:16:49.000
<v Speaker 1>a heard of households with the baby under one that

0:16:49.200 --> 0:16:52.520
<v Speaker 1>they still had trouble finding formula. Yes, some high quality

0:16:52.560 --> 0:16:56.760
<v Speaker 1>ones and some very sensitive formulas as well. So where

0:16:56.800 --> 0:16:58.800
<v Speaker 1>are we kind of just give us the sense of

0:16:58.960 --> 0:17:02.840
<v Speaker 1>kind of domestic duction, domestics supply kind of where are

0:17:02.920 --> 0:17:08.800
<v Speaker 1>we today? Where should it be in your opinion? Yeah, Look,

0:17:08.880 --> 0:17:11.840
<v Speaker 1>this is I believe the cause of what is being

0:17:11.960 --> 0:17:15.919
<v Speaker 1>just concentrated and in many ways the complacency of a

0:17:16.000 --> 0:17:21.360
<v Speaker 1>concentrated industry. Of the market is dominated by two players,

0:17:21.920 --> 0:17:24.159
<v Speaker 1>and those two players have owned been conforming in the

0:17:24.160 --> 0:17:29.040
<v Speaker 1>markets for over forty years, very little innovation and no competition,

0:17:29.240 --> 0:17:32.120
<v Speaker 1>which has resulted in the complacency that we see today.

0:17:32.600 --> 0:17:36.000
<v Speaker 1>And your company, just to refreshes you, guys, are direct

0:17:36.040 --> 0:17:38.280
<v Speaker 1>to consumer. Talk to us about your company, Bobby, and

0:17:38.560 --> 0:17:41.679
<v Speaker 1>kind of how you're playing in this market, which I

0:17:41.680 --> 0:17:43.760
<v Speaker 1>guess a lot of us who don't have children maybe

0:17:43.760 --> 0:17:47.800
<v Speaker 1>forget how critical it is for so many families. That's

0:17:47.880 --> 0:17:51.199
<v Speaker 1>r right. Look, intanporta is an essential good. This is

0:17:51.240 --> 0:17:54.400
<v Speaker 1>not a typical pantry product. It's not a granola bar.

0:17:55.080 --> 0:17:57.679
<v Speaker 1>When you start your baby on formula, you need to

0:17:57.720 --> 0:18:02.280
<v Speaker 1>make sure that you have the product available. Bobby is

0:18:02.320 --> 0:18:05.560
<v Speaker 1>a direct to consumer formula company. We also now sit

0:18:05.600 --> 0:18:08.959
<v Speaker 1>on target shows. But we have built some models that

0:18:09.040 --> 0:18:12.000
<v Speaker 1>when you subscribe to if we subscribe to you, which

0:18:12.080 --> 0:18:15.200
<v Speaker 1>essentially say you come in in your first month, We're

0:18:15.240 --> 0:18:17.399
<v Speaker 1>going to make sure that we have the supply for

0:18:17.560 --> 0:18:21.600
<v Speaker 1>you for your entire journey. And just having that model

0:18:21.680 --> 0:18:24.160
<v Speaker 1>gives that peace of mind to parents this no matter

0:18:24.200 --> 0:18:26.640
<v Speaker 1>how bad the shortages get, we're going to make sure

0:18:26.640 --> 0:18:30.439
<v Speaker 1>that you have your supply. How concerned our parents. We

0:18:30.440 --> 0:18:33.719
<v Speaker 1>were just talking, uh Paul and I about how you know,

0:18:33.800 --> 0:18:36.480
<v Speaker 1>back in the day, kids would just walk to school

0:18:36.520 --> 0:18:40.040
<v Speaker 1>by themselves, but now you know, not until you're eighteen

0:18:40.200 --> 0:18:43.080
<v Speaker 1>are you allowed to be loose in the city. Parents

0:18:43.240 --> 0:18:46.920
<v Speaker 1>really care Now My parents just ignored me until it worked,

0:18:47.000 --> 0:18:50.200
<v Speaker 1>until I got a job. But you know, parents these

0:18:50.280 --> 0:18:53.520
<v Speaker 1>days are very serious about child well being in health,

0:18:53.600 --> 0:18:58.040
<v Speaker 1>and so is Bobby, you know, getting taking full advantage

0:18:58.040 --> 0:19:00.160
<v Speaker 1>of that. I mean, what's what's what's your say else?

0:19:00.160 --> 0:19:04.639
<v Speaker 1>Look like the sales are good? You know, we have

0:19:04.760 --> 0:19:07.160
<v Speaker 1>gotten to a place now where we're serving four percent

0:19:07.280 --> 0:19:11.080
<v Speaker 1>of the nonwick market in the gusts of two years.

0:19:11.119 --> 0:19:13.480
<v Speaker 1>So it has been a very fast growing two years,

0:19:13.560 --> 0:19:17.000
<v Speaker 1>the fastest growing formula since the eighties, and now the

0:19:17.080 --> 0:19:21.640
<v Speaker 1>fifth largest formula company in the US and hard to believe.

0:19:21.920 --> 0:19:24.360
<v Speaker 1>And yet I think it's also just another big wake

0:19:24.440 --> 0:19:27.240
<v Speaker 1>up call to how badly the formula industry needs to change.

0:19:27.600 --> 0:19:31.480
<v Speaker 1>And look as Terence ourselves, I've made this formula because

0:19:31.520 --> 0:19:34.400
<v Speaker 1>I wanted it for my own kids. We went with

0:19:34.520 --> 0:19:38.000
<v Speaker 1>a better for you infant formula, clean ingredients left out

0:19:38.040 --> 0:19:41.960
<v Speaker 1>the corn syrup, And you're totally right. Parents have changed

0:19:42.000 --> 0:19:44.919
<v Speaker 1>their own eating habits. They're buying organic for themselves, so

0:19:45.080 --> 0:19:48.720
<v Speaker 1>obviously they want to do that for their child. And frankly,

0:19:49.119 --> 0:19:51.680
<v Speaker 1>the US, as the first world country, should be putting

0:19:51.680 --> 0:19:54.399
<v Speaker 1>out the best intoint formula. We deserve to do it.

0:19:54.400 --> 0:19:58.040
<v Speaker 1>It's also great to have women taking control of this.

0:19:58.160 --> 0:20:02.800
<v Speaker 1>I followed the she media like crew and uh, you

0:20:02.800 --> 0:20:05.560
<v Speaker 1>know they're doing this future of helping at south By Southwest,

0:20:06.920 --> 0:20:10.000
<v Speaker 1>Is it is? It? Is it? Um? This is helpful,

0:20:10.119 --> 0:20:15.560
<v Speaker 1>this kind of networking for women in business. Yes, and

0:20:15.880 --> 0:20:18.000
<v Speaker 1>you know we need to get more women behind the

0:20:18.000 --> 0:20:23.200
<v Speaker 1>wheel driving businesses that represent their needs. You know, we're

0:20:23.280 --> 0:20:27.359
<v Speaker 1>we're selling an alternative to breast milk. I don't believe

0:20:27.400 --> 0:20:30.080
<v Speaker 1>anyone else should be behind the wheel. And yes, I'm

0:20:30.119 --> 0:20:33.119
<v Speaker 1>still the only female CEO of an infant formula company.

0:20:33.280 --> 0:20:37.800
<v Speaker 1>It's insane. That's insane. It's insane. It is absolutely insane.

0:20:37.880 --> 0:20:41.760
<v Speaker 1>So I'll challenge any of those male CEOs out there

0:20:41.800 --> 0:20:45.640
<v Speaker 1>against what we're doing. No, I I am very excited

0:20:45.680 --> 0:20:49.440
<v Speaker 1>to see see the rise of more female founders and CEOs,

0:20:49.560 --> 0:20:53.000
<v Speaker 1>especially in industry that they think and doctors right, right,

0:20:53.040 --> 0:20:57.399
<v Speaker 1>because um, Laura, there are so many issues that affect

0:20:57.440 --> 0:21:01.480
<v Speaker 1>women during pregnancy and as their nurse saying that are

0:21:01.560 --> 0:21:07.800
<v Speaker 1>just under researched. Um. You know, and I hope that

0:21:07.880 --> 0:21:11.120
<v Speaker 1>you work with doctors and and female doctors are able

0:21:11.119 --> 0:21:13.679
<v Speaker 1>to do research that that male doctors for decades or

0:21:13.680 --> 0:21:18.679
<v Speaker 1>centuries haven't done. That's exactly it. I mean, up until recently,

0:21:19.280 --> 0:21:22.240
<v Speaker 1>women were treated as smaller men when it came to

0:21:22.320 --> 0:21:26.479
<v Speaker 1>the research side of and anything in the world of

0:21:26.480 --> 0:21:29.920
<v Speaker 1>pharma and food and anything that women were consuming. Well,

0:21:30.880 --> 0:21:34.359
<v Speaker 1>we now need to look at women and gender very differently,

0:21:34.920 --> 0:21:37.640
<v Speaker 1>and I believe women are driving that movement. Laura, thank

0:21:37.640 --> 0:21:39.919
<v Speaker 1>you so much for joining us. Really appreciate chatting with

0:21:39.960 --> 0:21:42.479
<v Speaker 1>you again. You're really so helpful to us when this

0:21:42.840 --> 0:21:46.159
<v Speaker 1>story in this issue really became apparent last year. And

0:21:46.160 --> 0:21:48.280
<v Speaker 1>we're good to see some improvement in that side of

0:21:48.280 --> 0:21:51.160
<v Speaker 1>the market, but still more room UH to grow into

0:21:51.359 --> 0:21:53.840
<v Speaker 1>and to change. Laura Moody, she's a CEO and co

0:21:53.960 --> 0:21:57.959
<v Speaker 1>founder of Bobby. Bobby is a baby formula delivery startup

0:21:58.000 --> 0:22:00.560
<v Speaker 1>that sells direct to consumer and offers a sup sscription

0:22:00.640 --> 0:22:04.920
<v Speaker 1>service to parents across the US. Are really unique, UH,

0:22:04.920 --> 0:22:08.720
<v Speaker 1>an interesting company. Thanks for listening to the Bloomberg Markets podcast.

0:22:09.080 --> 0:22:12.280
<v Speaker 1>You can subscribe and listen to interviews with Apple Podcasts

0:22:12.440 --> 0:22:16.360
<v Speaker 1>or whatever podcast platform you prefer. I'm Matt Miller. I'm

0:22:16.359 --> 0:22:20.399
<v Speaker 1>on Twitter at Matt Miller, three pt on Fall Sweeney

0:22:20.400 --> 0:22:23.040
<v Speaker 1>I'm on Twitter at pt Sweeney Before the podcast. You

0:22:23.080 --> 0:22:25.480
<v Speaker 1>can always catch us worldwide at Bloomberg Radio