WEBVTT - Bloomberg Businessweek Weekend - November 28th, 2025

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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>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy, plus global business, finance

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<v Speaker 2>and tech news as it happens. The Bloomberg Business Week

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<v Speaker 2>Daily Podcast with Carol Masser and Tim Stenebek on Bloomberg Radio.

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<v Speaker 1>Hi everyone, Happy Thanksgiving and welcome to the Bloomberg Business

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<v Speaker 1>Week Weekend Podcast. We are normally so focused on bringing

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<v Speaker 1>you everything from Wall Street and politics and anything from

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<v Speaker 1>the world of business, that we're always grateful when we

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<v Speaker 1>can take a step back and focus on other important issues,

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<v Speaker 1>especially on this Thanksgiving weekend.

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<v Speaker 3>In this hour, we bring you to Boston and to

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<v Speaker 3>the work that's being done at the Boston Children's Hospital.

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<v Speaker 3>It's really a healthcare hub for all of New England.

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<v Speaker 3>It's at the forefront of medical research and treatment and

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<v Speaker 3>that includes cutting edge tech for orthopedic surgery and also

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<v Speaker 3>using AI in medicine.

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<v Speaker 1>That's all coming up in the first hour. It's some

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<v Speaker 1>really great conversations. We were Tim and I were both

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<v Speaker 1>blown away by our visit there. Then coming up in

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<v Speaker 1>our second hour, Well, it's a little bit of a

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<v Speaker 1>holiday special. We've got some travel, hosting and drinks. We

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<v Speaker 1>also get an update on the domestic travel market with

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<v Speaker 1>the CEO of Travel and Leisure.

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<v Speaker 3>Plus a CEO who you can count on to be

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<v Speaker 3>candid when she stops by, Christina Stembel, the founder and

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<v Speaker 3>CEO of farm Girl Flowers. She joined us on getting

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<v Speaker 3>ready for the holiday season and the health of the consumer.

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<v Speaker 1>Also, we have a drink with the CEO of the

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<v Speaker 1>spirit's company, Kraftco. At a time when the industry's facing

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<v Speaker 1>a lot of headwinds.

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<v Speaker 3>That's coming up a drinker too. I saw the way

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<v Speaker 3>you poured that.

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<v Speaker 1>All right, All that's coming up in the second hour.

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<v Speaker 3>Two all that to come. First though, we head to

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<v Speaker 3>Boston Children's Hospital. It's the leading recipient of pediatric research

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<v Speaker 3>funding from the National Institutes of Health. It's also the

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<v Speaker 3>primary pediatric teaching hospital for Harvard Medical School.

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<v Speaker 1>We're so grateful to them for hosting us. And first up,

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<v Speaker 1>we've got a conversation around medical advancements using artificial intelligence

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<v Speaker 1>and the importance of providing a comforting environment for patients

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<v Speaker 1>and staff alike.

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<v Speaker 3>That's what doctor Joan La Rovere is trying to achieve.

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<v Speaker 3>She's senior vice president. She's also interim Chief Medical Officer

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<v Speaker 3>of Boston Children's She's also the co founder and president

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<v Speaker 3>of the NGO, the Virtue Foundation. It's delivering healthcare to

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<v Speaker 3>over twenty five countries. We began our conversation with the

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<v Speaker 3>description of the room where we broadcasted from earlier this month.

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<v Speaker 4>We're in the hail Roof garden on the tenth floor

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<v Speaker 4>of the Hale Building. The Cardiac I See You that

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<v Speaker 4>I work in is two and three floors below us,

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<v Speaker 4>because we cover two floors our Cardiac I See You,

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<v Speaker 4>And we need spaces like this for families to be

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<v Speaker 4>able to step away and really, you know, think and decompress,

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<v Speaker 4>and for staff. You know, these very challenging complex patients

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<v Speaker 4>that we're taken care of in this building. Are the

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<v Speaker 4>anatal Intensive care unit is here or Cardiac I See

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<v Speaker 4>You is here. We have operating rooms in this building.

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<v Speaker 4>You know, there's a lot of the cath labs are here.

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<v Speaker 4>So it's wonderful that we can have these magical spaces

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<v Speaker 4>where you can just feel that you're in a PEDIAFTERC

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<v Speaker 4>hospital and there's a place to relax and think.

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<v Speaker 1>Can I just say, it's like you're sitting on a tree,

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<v Speaker 1>like a tree bench. There's like, I don't know, is

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<v Speaker 1>this a rainbow. It feels like above us. It's pretty

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<v Speaker 1>it's pretty cool, you know.

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<v Speaker 3>Carol mentioned the energy that we feel when we walk

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<v Speaker 3>into a space such as Boston Children's and we're reminded

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<v Speaker 3>that it's it's not just a teaching hospital, a research hospital,

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<v Speaker 3>it's also a place that treats kids from really all

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<v Speaker 3>over the world. I'm wondering how you prioritize where resources go,

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<v Speaker 3>whether it goes to treating patients right now versus thinking

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<v Speaker 3>about research, thinking about development, thinking about ways to actually

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<v Speaker 3>help patients in the future, versus working with them right now.

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<v Speaker 3>How do you allocate those resources?

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<v Speaker 4>Well, that has always been part of the DNA of

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<v Speaker 4>Boston Children's Hospital. It's been our mission. We deliver the highest,

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<v Speaker 4>best quality clinical care. Really that is the foundation of

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<v Speaker 4>it all. And you see that, you know the motto

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<v Speaker 4>of where the world comes for answers. There's a lot

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<v Speaker 4>of complex patients from the Boston area of Massachusetts, New England. Obviously,

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<v Speaker 4>we provide primary services for all levels of care for

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<v Speaker 4>children in this community, However, there are many from across

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<v Speaker 4>the United States and across the world who really seek

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<v Speaker 4>that type of care and come to us, usually the

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<v Speaker 4>most complex cases, and I think that's really where we thrive.

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<v Speaker 4>And the other piece of our DNA is the science

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<v Speaker 4>we as you talked in the beginning.

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<v Speaker 1>That makes a difference, right when there's science involved. I

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<v Speaker 1>feel like it's practition. Yes, you're dealing with patients, but

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<v Speaker 1>it's people who are like, I want to understand how

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<v Speaker 1>this works.

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<v Speaker 4>That's everybody here. Yeah, that's the doctors, that's the nurses,

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<v Speaker 4>that's the social workers, that's the physical therapists, that's the

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<v Speaker 4>respiratory therapist, it's the pharmacist. I just could keep going.

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<v Speaker 4>So I think that's what draws people to work here

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<v Speaker 4>and to stay here, because that purpose that we're gonna

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<v Speaker 4>actually change things and we're going to be able to

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<v Speaker 4>find newer ways of doing things. We're going to help

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<v Speaker 4>more children survive but also thrive, and that takes a

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<v Speaker 4>real concerted effort, and you need the science here with

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<v Speaker 4>the clinical.

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<v Speaker 1>One of the things I think when you joined Tim

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<v Speaker 1>and I back in New York and listen, everybody's talking

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<v Speaker 1>about AI and I know that but I think we

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<v Speaker 1>all are thinking about what it could do for medicine

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<v Speaker 1>and R and D and innovation. And I guess what

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<v Speaker 1>we're trying to understand too is what's the reality of

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<v Speaker 1>what AI is used within the medical community or R

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<v Speaker 1>and D specifically? Where is it today? And you, as

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<v Speaker 1>someone who understands this space so well, and I'm curious

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<v Speaker 1>the conversations you guys have, where do you think you

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<v Speaker 1>could go? Well?

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<v Speaker 4>AI has been a very important part of Boston Children's

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<v Speaker 4>Hospital for a long time. This isn't something new. We

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<v Speaker 4>have incredible research groups and an incredible innovation team here

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<v Speaker 4>who've been really standing up AI initiatives for a very

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<v Speaker 4>long time. We talked about some of the work I

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<v Speaker 4>personally have done in terms of you know, Virtue Foundation

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<v Speaker 4>and the Global Health AI mapping and being able to

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<v Speaker 4>match resource and need.

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<v Speaker 1>You work with Yeah, firms that are like specifically in AI.

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<v Speaker 4>Yes, with data breaks and data robak. I you're building

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<v Speaker 4>those real platforms that people can use. But I think about,

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<v Speaker 4>for example, when chat GPT first came out, we had

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<v Speaker 4>Boston GPT immediately we were looking to get that behind

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<v Speaker 4>our firewalls. How can we integrate that, How can we

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<v Speaker 4>use that for real purpose and improving both the care

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<v Speaker 4>that we get to pay since but how can we

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<v Speaker 4>use AI to also discover new things? I think the

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<v Speaker 4>levels of data that we have, and I think you

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<v Speaker 4>talked upon in the beginning in terms of rare diseases,

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<v Speaker 4>genetic diseases, we are the epicenter of that, and we've

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<v Speaker 4>already been extremely successful in bringing new therapies to market

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<v Speaker 4>for children. But when I look at the infrastructure that

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<v Speaker 4>we're building, and I think you've had doctor Wendy Chung

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<v Speaker 4>come and speak, and she's heating up.

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<v Speaker 1>A lot of that work.

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<v Speaker 4>I think her best days are ahead of us, and

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<v Speaker 4>AI is unlocking that type of potential.

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<v Speaker 3>I like hearing that the optimism about our best days

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<v Speaker 3>being ahead of us. And I think about, just even

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<v Speaker 3>during your career, how much treatments have changed in a

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<v Speaker 3>pretty short time. I'm curious about the connection between kids

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<v Speaker 3>and adults and treating children. And of course, if kids

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<v Speaker 3>are healthy, then they turn into healthy adults. But this

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<v Speaker 3>is a children's hospital that does a lot of research,

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<v Speaker 3>it does a lot of teaching. Also, are there learnings

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<v Speaker 3>that can be taken from what works with kids and

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<v Speaker 3>even applied to a larger population as not just those

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<v Speaker 3>kids grow up, but as adults also need treatment.

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<v Speaker 4>I think there's two points that strike me there. One

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<v Speaker 4>is that the decisions they were making early in life

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<v Speaker 4>have long term impact. It's something I've thought about my

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<v Speaker 4>entire career in the cardiac space and cardiac intensive care.

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<v Speaker 4>The decisions to have surgery on day two or day four,

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<v Speaker 4>the decisions to use this drug or that drug, all

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<v Speaker 4>of those things are shaping your long term self. But

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<v Speaker 4>it was very hard to be able to look at

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<v Speaker 4>and analyze that type of data until you've opened up

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<v Speaker 4>big data AI. So I think again along the lines

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<v Speaker 4>of our best days are ahead of us, that we're

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<v Speaker 4>going to be able to see so much more through that.

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<v Speaker 4>And then you said the innovations. Now many patients that

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<v Speaker 4>I took care of are adults. Right, we have this

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<v Speaker 4>huge growing adult population that we provide care for. Science

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<v Speaker 4>is that's discovered here, it's in a pediatric hospital, but

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<v Speaker 4>it's bringing forth therapies that are actually treating adults. So

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<v Speaker 4>I think it's it's incredible to see how this innovation

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<v Speaker 4>engine drives so much.

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<v Speaker 1>If you could change one thing just got about thirty seconds.

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<v Speaker 1>If you could change one thing in terms of the

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<v Speaker 1>work that you guys are doing and the R and

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<v Speaker 1>D that would maybe make it easier.

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<v Speaker 4>What would it be, make it easier?

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<v Speaker 1>Okay backward. If you could change one thing though that

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<v Speaker 1>would help you guys and what you're working on. It

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<v Speaker 1>sounds like you don't need it. Sounds like you've got

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<v Speaker 1>a great team, and we have.

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<v Speaker 4>A great team, but we're always needing, you know, support

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<v Speaker 4>and engagement and we're just trying to drive the next

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<v Speaker 4>level and partnerships to move in that direction. We are

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<v Speaker 4>the leading children's hospital, so we're doing well, but we're

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<v Speaker 4>always trying to push the envelope of what we can do.

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<v Speaker 1>Yeah, it's fast. You could feel it. I felt, you know,

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<v Speaker 1>like walking in.

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<v Speaker 4>You can write the purpose.

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<v Speaker 1>It was busy, it was lots of families, lots of kids,

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<v Speaker 1>and yeah, everybody on a mission.

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<v Speaker 4>It's a privilege to be part of that mission.

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<v Speaker 1>Well, thank you so much, thank you, thank you for

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<v Speaker 1>inviting us, and good to get some more time with you.

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<v Speaker 1>Doctor Joan la Rovere. She is an interim Chief Medical

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<v Speaker 1>Officer at Boston Children's Hospital, Director of Innovation and Outcomes.

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<v Speaker 1>So delighted to talk with you.

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<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

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<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

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<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

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<v Speaker 2>or watch us live on YouTube.

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<v Speaker 1>Now, we know AI has been the talk of here.

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<v Speaker 1>Actually it's been the talk of is it almost three

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<v Speaker 1>years already here? Yeah? Yeah, it's really nuts. It's nunds

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<v Speaker 1>up a lot of AI when it comes to moving markets,

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<v Speaker 1>analyzing data and automating simple tasks, but it may also

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<v Speaker 1>impact neurosurgery in kids.

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<v Speaker 3>On that, we were joined by doctor Lisa Baird, director

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<v Speaker 3>of Neurosurgical Oncology and co director of the Brain Tumor

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<v Speaker 3>Center at Boston Children's Hospital.

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<v Speaker 5>I take care of kids that have branch tumors and

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<v Speaker 5>it's all ages. All ages, yeah, from infants to really

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<v Speaker 5>young adults, but all through childhood and work with a

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<v Speaker 5>phenomenal team here. Requires a huge team to take care

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<v Speaker 5>of these kids. They're very complex diseases and we work

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<v Speaker 5>on all aspects of them, so active treatment. We do

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<v Speaker 5>a lot of scientific research, we run clinical trials. We

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<v Speaker 5>really support these kids not only through their therapeutic journal journey,

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<v Speaker 5>but through survivorship and surveillance afterwards. So it's a long

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<v Speaker 5>journey for them and we really try to support them

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<v Speaker 5>at every stage.

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<v Speaker 3>How are clinical trials involving children different than clinical trials

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<v Speaker 3>involving other age populations.

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<v Speaker 5>Well, cancer in children is very very different. The diseases

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<v Speaker 5>are different, the implications are different, especially with brain tumors.

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<v Speaker 1>Why is that? Is it development because of where the

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<v Speaker 1>brain is or what?

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<v Speaker 5>Partially? I mean we're dealing with patients that have developing brains.

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<v Speaker 5>I mean there are very different implications for that. But

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<v Speaker 5>also the diagnoses vary quite a bit. You know, the

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<v Speaker 5>common diseases we see in childhood brain cancer are very

0:12:19.600 --> 0:12:23.480
<v Speaker 5>very different than that in adult cancer, and they require

0:12:23.480 --> 0:12:27.280
<v Speaker 5>different treatments and the support and you know, network needs

0:12:27.280 --> 0:12:29.240
<v Speaker 5>to be different. We have to support these kids through

0:12:29.280 --> 0:12:35.880
<v Speaker 5>developmental stages, through hormonal development, through cognitive development, emotional development.

0:12:36.640 --> 0:12:39.720
<v Speaker 5>You know, the family needs are different, and you know,

0:12:39.760 --> 0:12:44.800
<v Speaker 5>the diseases require very specific therapies. One thing historically that

0:12:44.840 --> 0:12:48.280
<v Speaker 5>has happened is because pediatric cancer has not been as

0:12:48.280 --> 0:12:52.840
<v Speaker 5>well supported. Historically, we have had to extrapolate data and

0:12:52.880 --> 0:12:56.160
<v Speaker 5>treatments from the adult world and it just doesn't work,

0:12:56.520 --> 0:12:56.880
<v Speaker 5>you know.

0:12:57.120 --> 0:13:01.720
<v Speaker 1>I have a good friend in the same her son

0:13:01.760 --> 0:13:04.400
<v Speaker 1>went through it and unfortunately it didn't work out well.

0:13:04.520 --> 0:13:07.040
<v Speaker 1>But when she started doing research, she realized there's just

0:13:07.120 --> 0:13:11.920
<v Speaker 1>no money, no funding. And they actually started a foundation

0:13:12.040 --> 0:13:14.520
<v Speaker 1>to kind of but selling kids, selling cookies and like,

0:13:14.640 --> 0:13:18.520
<v Speaker 1>just to try and drum up money and interest and attention.

0:13:19.080 --> 0:13:20.959
<v Speaker 1>And we talk about it with women that R and

0:13:21.040 --> 0:13:22.560
<v Speaker 1>D like you just don't see it as much and

0:13:22.600 --> 0:13:26.560
<v Speaker 1>it's getting slowly better. But with kids, why is it

0:13:26.920 --> 0:13:30.440
<v Speaker 1>that it's lagged in terms of time and money and effort,

0:13:30.559 --> 0:13:33.280
<v Speaker 1>Not here obviously, but elsewhere.

0:13:33.960 --> 0:13:38.440
<v Speaker 5>Yeah, I mean, we definitely rely on philanthropy hugely to

0:13:38.480 --> 0:13:40.800
<v Speaker 5>make advancements in the field. But I think you know,

0:13:41.400 --> 0:13:47.280
<v Speaker 5>historically the numbers are lower. The financial support from government

0:13:47.280 --> 0:13:51.600
<v Speaker 5>has been different. It follows volume, as does industry. You know,

0:13:51.720 --> 0:13:57.240
<v Speaker 5>there's a complex, you know, complex reasons for that. But yeah,

0:13:57.280 --> 0:14:00.280
<v Speaker 5>there needs to be a shift and focus and and

0:14:00.320 --> 0:14:03.319
<v Speaker 5>more attention on specific pediatric treatments.

0:14:03.720 --> 0:14:07.040
<v Speaker 3>We are talking a lot about treatments, and it makes

0:14:07.080 --> 0:14:10.480
<v Speaker 3>me wonder about if we understand what causes this stuff

0:14:10.480 --> 0:14:13.520
<v Speaker 3>in the first place. And certainly treatments in recent years

0:14:13.360 --> 0:14:16.880
<v Speaker 3>have gotten so much better. In gene therapy, has gotten better,

0:14:18.480 --> 0:14:22.440
<v Speaker 3>but I'm wondering if we have an understanding in the

0:14:22.440 --> 0:14:25.560
<v Speaker 3>medical community about why some kids get sick and why

0:14:25.600 --> 0:14:26.080
<v Speaker 3>some don't.

0:14:26.480 --> 0:14:29.920
<v Speaker 5>Yeah, there have been huge advancements in pediatric brain tumors.

0:14:30.120 --> 0:14:32.360
<v Speaker 5>It's really one of the most exciting fields right now

0:14:32.400 --> 0:14:35.840
<v Speaker 5>because of how many things have really moved forward in

0:14:35.840 --> 0:14:38.320
<v Speaker 5>the field. And so we know so much more about

0:14:38.320 --> 0:14:41.720
<v Speaker 5>the biology of these tumors and the genetic underpinnings to them,

0:14:42.120 --> 0:14:45.680
<v Speaker 5>and can really drill down with each individual tumor to

0:14:45.760 --> 0:14:48.400
<v Speaker 5>find out what the molecular change has been in the

0:14:48.440 --> 0:14:51.200
<v Speaker 5>cells that is driving tumor growth. And that's really helped

0:14:51.280 --> 0:14:54.320
<v Speaker 5>us understand them and opened up a whole new field

0:14:54.480 --> 0:14:59.160
<v Speaker 5>of individual treatments. And so, you know, every tumor is different.

0:14:59.200 --> 0:15:01.560
<v Speaker 5>In some tumors, we've discovered that there may be a

0:15:01.680 --> 0:15:04.360
<v Speaker 5>cell of origin that the child is born with a

0:15:04.360 --> 0:15:06.840
<v Speaker 5>lot of tumors. We don't understand why some kids are

0:15:06.840 --> 0:15:11.000
<v Speaker 5>getting them and some don't. Some may have familial implications

0:15:11.040 --> 0:15:13.960
<v Speaker 5>and some may have environmental We don't understand everything, but

0:15:14.440 --> 0:15:16.440
<v Speaker 5>we're learning more and more every day, and we know

0:15:16.600 --> 0:15:19.240
<v Speaker 5>so much more about the individual genetics of the tumor.

0:15:19.320 --> 0:15:21.800
<v Speaker 3>Could we get to a point within our lifetimes where

0:15:22.040 --> 0:15:25.240
<v Speaker 3>there is some sort of screening for kids when they're

0:15:25.240 --> 0:15:28.480
<v Speaker 3>born or in their early days that helps identify what

0:15:28.560 --> 0:15:32.000
<v Speaker 3>they could be susceptible too, and then we could allow

0:15:32.120 --> 0:15:35.520
<v Speaker 3>for different different treatments ahead of that to prevent it

0:15:35.560 --> 0:15:36.440
<v Speaker 3>actually from happening.

0:15:36.680 --> 0:15:38.880
<v Speaker 5>Definitely, I think so. And it may not be for

0:15:38.920 --> 0:15:41.760
<v Speaker 5>every tumor, but I think we're already getting close to

0:15:41.840 --> 0:15:45.160
<v Speaker 5>that for certain diagnoses where we know specific things that

0:15:45.360 --> 0:15:48.800
<v Speaker 5>you know, we can potentially screen for, and we're finding

0:15:49.040 --> 0:15:54.080
<v Speaker 5>certain you know, germline mutations that are you know, familial hereditary.

0:15:55.520 --> 0:15:57.600
<v Speaker 5>So yeah, I think we may get to that point

0:15:57.640 --> 0:16:00.200
<v Speaker 5>where we're screening is better for all tumors, but we're

0:16:00.280 --> 0:16:02.160
<v Speaker 5>very close for certain types of tumors.

0:16:02.400 --> 0:16:05.640
<v Speaker 1>Is there differences in boys and girls when it comes

0:16:05.680 --> 0:16:08.600
<v Speaker 1>to either tumors or what impacts.

0:16:08.160 --> 0:16:11.120
<v Speaker 5>For some Yeah, for some diagnoses and some have you know,

0:16:11.200 --> 0:16:13.960
<v Speaker 5>greater percentages with boys and some with girls. It really

0:16:13.960 --> 0:16:16.640
<v Speaker 5>just depends on the diagnosis and many many its equivalent.

0:16:16.920 --> 0:16:19.360
<v Speaker 1>I am also curious about, like you guys seem to

0:16:19.400 --> 0:16:21.200
<v Speaker 1>certainly take a family approach, and you have to when

0:16:21.240 --> 0:16:25.160
<v Speaker 1>it's kids, Like what's involved when you've got specific therapies,

0:16:25.200 --> 0:16:27.960
<v Speaker 1>and it's not it's leading up to the surgery or

0:16:28.320 --> 0:16:29.280
<v Speaker 1>whatever the treatment is.

0:16:29.280 --> 0:16:31.160
<v Speaker 5>In now, the treatment of these kids takes a village.

0:16:31.160 --> 0:16:34.040
<v Speaker 5>We have a huge multi disciplinary team. I mean we

0:16:34.120 --> 0:16:40.680
<v Speaker 5>have neurosurgeons, neurooncologists, neurologists, the neuropathologists, geneticists, neurorediologists, and we

0:16:40.720 --> 0:16:45.680
<v Speaker 5>also have you know, the rehabilitation experts with physical occupational therapy,

0:16:45.800 --> 0:16:49.680
<v Speaker 5>the neuropsychologists and endochronologists. I mean, there are so many

0:16:49.760 --> 0:16:53.920
<v Speaker 5>different expertise, you know, fields that are required to take

0:16:53.960 --> 0:16:56.440
<v Speaker 5>care of these kids because brain tumors really affect every

0:16:56.480 --> 0:16:58.920
<v Speaker 5>single aspect of their life and have the potential to

0:16:58.960 --> 0:17:03.520
<v Speaker 5>affect every aspect of their physical and neurodevelopment. And so

0:17:04.320 --> 0:17:06.480
<v Speaker 5>you know, we are really fortunate here to have so

0:17:06.640 --> 0:17:09.720
<v Speaker 5>much expertise that we're able to really individualize the team

0:17:09.800 --> 0:17:11.560
<v Speaker 5>needed for each specific child.

0:17:12.359 --> 0:17:16.080
<v Speaker 1>Thank you so much. This is heavy stuff. Thank you

0:17:16.119 --> 0:17:19.200
<v Speaker 1>so much. Really appreciate it. Doctor Lisabert, Director of Neurosurgical

0:17:19.440 --> 0:17:21.359
<v Speaker 1>on collegen co Director of the Brain Tumor Center at

0:17:21.359 --> 0:17:23.160
<v Speaker 1>Boston Children's Hospital. This is Bloomberg.

0:17:24.680 --> 0:17:28.520
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:17:28.640 --> 0:17:32.200
<v Speaker 2>each weekday starting at two PM Eastern on Applecarplay and

0:17:32.200 --> 0:17:35.080
<v Speaker 2>Android Auto with the Bloomberg Business app. You can also

0:17:35.200 --> 0:17:38.520
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0:17:38.880 --> 0:17:41.439
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0:17:42.200 --> 0:17:45.760
<v Speaker 1>Neurological development and research is so key, especially in children,

0:17:45.800 --> 0:17:49.760
<v Speaker 1>because healthy brain development can influence outcomes for the rest

0:17:49.760 --> 0:17:50.480
<v Speaker 1>of our lives.

0:17:50.840 --> 0:17:54.320
<v Speaker 3>Doctor Ellen Grant is Director of Fetal Neonatal Neuroimaging and

0:17:54.359 --> 0:17:57.760
<v Speaker 3>Developmental Science at Boston Children's Hospital. There, she leads to

0:17:57.800 --> 0:18:01.359
<v Speaker 3>seventy person Neuroimaging and Computation no science center that's working

0:18:01.359 --> 0:18:04.640
<v Speaker 3>to develop tools to better detect and understand brain physiology

0:18:04.640 --> 0:18:09.320
<v Speaker 3>and development. The goal improve cognitive behavior and neurological outcomes

0:18:09.320 --> 0:18:12.800
<v Speaker 3>and fetuses, infants and toddlers, brain imaging, and children. If

0:18:12.800 --> 0:18:14.919
<v Speaker 3>we have a better understanding of the brain and fetal

0:18:14.920 --> 0:18:17.639
<v Speaker 3>development and for babies and toddlers, what will that allow

0:18:17.800 --> 0:18:20.720
<v Speaker 3>us to understand what does it prevent, what does it treat?

0:18:21.320 --> 0:18:23.840
<v Speaker 6>Well, everything begins in uterul pretty much, so your life

0:18:23.880 --> 0:18:26.840
<v Speaker 6>is an arc from infancy or one you're conceived through

0:18:26.880 --> 0:18:30.280
<v Speaker 6>to adulthoods So the more we can understand the early development,

0:18:30.320 --> 0:18:32.399
<v Speaker 6>the more we can start to understand how we make

0:18:32.400 --> 0:18:34.720
<v Speaker 6>sure children are on the right trajectory. So the goal

0:18:34.840 --> 0:18:37.960
<v Speaker 6>is to characterize brain development very early on, so we

0:18:38.040 --> 0:18:40.640
<v Speaker 6>tell the very earliest point when to start to deviate

0:18:40.640 --> 0:18:43.120
<v Speaker 6>from a normal trajectory so we can get things back

0:18:43.160 --> 0:18:46.600
<v Speaker 6>on tracked early as possible. And ideally we want in

0:18:46.640 --> 0:18:49.080
<v Speaker 6>future to be able to prevent diseases from happening, not

0:18:49.200 --> 0:18:51.680
<v Speaker 6>just try to deal with them and try to correct

0:18:51.680 --> 0:18:53.600
<v Speaker 6>them later on when the damage is partly done.

0:18:53.680 --> 0:18:55.919
<v Speaker 1>So how early can we do it today and detect

0:18:55.920 --> 0:18:58.760
<v Speaker 1>that there's something wrong? How early realistically do you think

0:18:58.800 --> 0:18:59.520
<v Speaker 1>we can get it too?

0:18:59.720 --> 0:19:04.560
<v Speaker 6>Yeah, we start looking at fetuses at about eleven fifteen

0:19:04.600 --> 0:19:06.840
<v Speaker 6>weeks something around there, at the earliest, right closer to

0:19:06.880 --> 0:19:10.280
<v Speaker 6>around eighteen weeks, we start to characterize brain development, you know,

0:19:10.320 --> 0:19:13.040
<v Speaker 6>eighteen nineteen weeks or so, So it begins quite early

0:19:13.320 --> 0:19:15.920
<v Speaker 6>when we start to see and look at early brain development.

0:19:16.160 --> 0:19:18.080
<v Speaker 3>Well, you and your team did a study a few

0:19:18.160 --> 0:19:20.920
<v Speaker 3>years ago that gave your results to argue for earlier

0:19:21.080 --> 0:19:24.920
<v Speaker 3>MRI during pregnancy. Yeah, is that study enough to actually

0:19:25.040 --> 0:19:26.120
<v Speaker 3>change the standard of care?

0:19:26.720 --> 0:19:29.679
<v Speaker 6>Well, we do use it early here at Boston Children,

0:19:29.760 --> 0:19:31.800
<v Speaker 6>So when there's an indication we do it as early

0:19:31.840 --> 0:19:34.720
<v Speaker 6>as we can to better characterize the entire fetus, because

0:19:34.760 --> 0:19:37.040
<v Speaker 6>it's not just the brain, it's the body it's attached to too,

0:19:36.960 --> 0:19:39.879
<v Speaker 6>So we won't understand not just the brain develop but

0:19:40.000 --> 0:19:42.200
<v Speaker 6>how that brain is developing the context of the other

0:19:42.320 --> 0:19:43.080
<v Speaker 6>organ systems.

0:19:43.359 --> 0:19:45.280
<v Speaker 1>So we can do because it doesn't necessarily run hand

0:19:45.320 --> 0:19:47.720
<v Speaker 1>in hand, like it can be very different, right or

0:19:48.080 --> 0:19:50.120
<v Speaker 1>like in terms of what's going on with brain development

0:19:50.200 --> 0:19:52.360
<v Speaker 1>versus the rest of the system. They can disconnect.

0:19:52.880 --> 0:19:55.960
<v Speaker 6>No, they're intimately connected life.

0:19:56.080 --> 0:19:58.760
<v Speaker 1>So there's one. Yeah, So that's why we won't understand it.

0:19:58.800 --> 0:20:00.840
<v Speaker 6>So say, for example, we with a lot of congenital

0:20:00.880 --> 0:20:03.240
<v Speaker 6>heart disease here that has effects from brain development. We

0:20:03.320 --> 0:20:06.359
<v Speaker 6>deal with congenital dive fromatic hernias that have effects on

0:20:06.440 --> 0:20:09.760
<v Speaker 6>brain development. So everything that's happening in the fetus, whether

0:20:09.760 --> 0:20:11.840
<v Speaker 6>there's a brain or not, is it has the potential

0:20:11.840 --> 0:20:13.440
<v Speaker 6>to have subtle effects on brain development.

0:20:15.280 --> 0:20:18.360
<v Speaker 1>Why do kids, I mean kids do need specialized tools

0:20:18.520 --> 0:20:20.520
<v Speaker 1>her brain imaging to ask us about that one.

0:20:20.600 --> 0:20:23.399
<v Speaker 6>Yeah, that's the whole reason that it came to Boston

0:20:23.480 --> 0:20:27.000
<v Speaker 6>Children's is industries not interested in fetuses in prints and

0:20:27.040 --> 0:20:29.879
<v Speaker 6>young children. So it's really hard to get devices that

0:20:29.920 --> 0:20:32.879
<v Speaker 6>are built specifically for these age range. So that's why

0:20:32.920 --> 0:20:37.520
<v Speaker 6>I brought a team of technical people. So they're engineers, physicists,

0:20:37.520 --> 0:20:41.320
<v Speaker 6>computer scientists, data scientists that help to either develop the

0:20:41.359 --> 0:20:44.560
<v Speaker 6>devices or come up with better ways to analyze the

0:20:45.400 --> 0:20:48.320
<v Speaker 6>data that we get with an ion trying to understand

0:20:48.320 --> 0:20:51.800
<v Speaker 6>pediactors actric disorders. So for example, we want to monitor

0:20:51.840 --> 0:20:55.400
<v Speaker 6>and we're developing optical devices for the NICKU to monitors

0:20:55.400 --> 0:20:58.800
<v Speaker 6>freequal bloodflow. But the heart of a heart rate of

0:20:58.880 --> 0:21:01.359
<v Speaker 6>a neonate is one hundred, so we have to sample

0:21:01.400 --> 0:21:03.119
<v Speaker 6>at a much higher rate than you would in an

0:21:03.119 --> 0:21:05.119
<v Speaker 6>adult to get the same information. So we have to

0:21:05.160 --> 0:21:08.919
<v Speaker 6>build specifically devices to the physiology. And then if can

0:21:08.960 --> 0:21:11.560
<v Speaker 6>think of ahead of a premature baby, it's very very small,

0:21:11.920 --> 0:21:13.480
<v Speaker 6>so I can't take a probe that we use in

0:21:13.520 --> 0:21:15.520
<v Speaker 6>adults and just put it on a pre term, so

0:21:15.520 --> 0:21:19.320
<v Speaker 6>we have to develop the devices to fit the size

0:21:19.359 --> 0:21:20.000
<v Speaker 6>of the infants.

0:21:20.320 --> 0:21:22.080
<v Speaker 1>I want to just go and I feel like we

0:21:22.160 --> 0:21:25.200
<v Speaker 1>touched on this earlier. I mean, we are Bloomberg Business Week.

0:21:25.760 --> 0:21:29.320
<v Speaker 1>We are Bloomberg and very entrenched in financial markets, and

0:21:29.359 --> 0:21:31.480
<v Speaker 1>I feel like the more I've been doing this, money

0:21:31.520 --> 0:21:33.879
<v Speaker 1>just follows everything money is why people do things or

0:21:33.880 --> 0:21:36.600
<v Speaker 1>don't do things. Is that really it is just the

0:21:36.720 --> 0:21:38.520
<v Speaker 1>market I hate to even make it that way, the

0:21:38.520 --> 0:21:42.159
<v Speaker 1>market size, and so you don't have medical equipment companies

0:21:42.359 --> 0:21:44.760
<v Speaker 1>building the things because they just don't think the market

0:21:44.800 --> 0:21:45.640
<v Speaker 1>size is big enough.

0:21:45.680 --> 0:21:47.800
<v Speaker 6>That is a big problem, and I think it's that's

0:21:47.800 --> 0:21:50.200
<v Speaker 6>where we're trying to get into more of a business perspective.

0:21:50.240 --> 0:21:52.000
<v Speaker 6>Like if we start to do a small startup that

0:21:52.640 --> 0:21:55.760
<v Speaker 6>starts to answer those questions and a bigger company might

0:21:55.800 --> 0:21:58.440
<v Speaker 6>buy it. But if we stay in the research realm,

0:21:58.520 --> 0:22:00.880
<v Speaker 6>then it's sometimes really hard to go that last mile

0:22:00.880 --> 0:22:02.960
<v Speaker 6>and get something into clinical practice.

0:22:03.160 --> 0:22:04.760
<v Speaker 1>So how do you do that? How do you cross that?

0:22:04.880 --> 0:22:05.520
<v Speaker 1>So what do you do?

0:22:05.960 --> 0:22:08.640
<v Speaker 6>Yeah, this is what we're strategy strategizing on right now

0:22:08.720 --> 0:22:10.280
<v Speaker 6>is trying to figure out how we do those small

0:22:10.280 --> 0:22:15.600
<v Speaker 6>startups get industry interested I and a lot of things

0:22:15.640 --> 0:22:17.920
<v Speaker 6>we're doing right now. Actually, one of the projects we're

0:22:17.920 --> 0:22:20.959
<v Speaker 6>working on is you know AI strategies, right, and if

0:22:21.000 --> 0:22:24.719
<v Speaker 6>we can get enough data on infants or thetses and

0:22:24.720 --> 0:22:26.919
<v Speaker 6>so on, we can start to build models that predict

0:22:27.200 --> 0:22:28.960
<v Speaker 6>not just group outcomes, but we want to get to

0:22:29.040 --> 0:22:31.840
<v Speaker 6>individual outcomes because that's what parents care about, right, so

0:22:31.880 --> 0:22:34.159
<v Speaker 6>if we can figure out get those models together. So

0:22:34.200 --> 0:22:36.280
<v Speaker 6>that's what we're working on now, is trying to create

0:22:36.480 --> 0:22:39.720
<v Speaker 6>these AI models that are specialized for pediatrics and hoping

0:22:39.720 --> 0:22:41.600
<v Speaker 6>to do startups around that particular concept.

0:22:41.600 --> 0:22:43.399
<v Speaker 1>I have to ask a more questiondent our venture capitalist

0:22:43.400 --> 0:22:43.880
<v Speaker 1>is interested.

0:22:44.480 --> 0:22:46.879
<v Speaker 6>I don't know because we haven't really talked about that.

0:22:47.480 --> 0:22:49.359
<v Speaker 6>I've heard about, but I think they always want something

0:22:49.400 --> 0:22:52.240
<v Speaker 6>that's almost ready. So we're hoping to go further along. Yeah,

0:22:52.320 --> 0:22:53.320
<v Speaker 6>a little bit further along.

0:22:53.520 --> 0:22:54.480
<v Speaker 1>Okay. Interesting?

0:22:54.520 --> 0:22:57.479
<v Speaker 3>Can what we learn and what you understand through imaging

0:22:57.520 --> 0:23:01.159
<v Speaker 3>about the brain's development be applied to how adult brains

0:23:01.160 --> 0:23:01.639
<v Speaker 3>are treated.

0:23:03.400 --> 0:23:07.000
<v Speaker 6>Everything in adult life has its genesis in infants, right.

0:23:06.920 --> 0:23:09.000
<v Speaker 3>So we were all there once.

0:23:09.200 --> 0:23:10.200
<v Speaker 1>Yeah, yeah, exactly.

0:23:10.240 --> 0:23:13.639
<v Speaker 6>And some of the ways of adult brain response is

0:23:13.800 --> 0:23:17.000
<v Speaker 6>more prominent in a pediatric brain. So in some disorders

0:23:17.040 --> 0:23:20.720
<v Speaker 6>you go to pediatric models to see a physiologist. More

0:23:20.800 --> 0:23:23.920
<v Speaker 6>prominent in neonates or infants, but also occurs in adults.

0:23:24.119 --> 0:23:26.879
<v Speaker 3>You know, there was in doing the research. In the

0:23:26.920 --> 0:23:29.679
<v Speaker 3>prep for our interview with you, there is a picture

0:23:29.840 --> 0:23:36.520
<v Speaker 3>of a physician or a therapist doing some what's I

0:23:36.600 --> 0:23:41.960
<v Speaker 3>think is called therapeutic hypothermia too a brand new baby's head.

0:23:42.800 --> 0:23:46.439
<v Speaker 3>And my understanding is that oxygen deprivation around birth is

0:23:46.480 --> 0:23:50.240
<v Speaker 3>one of the leading reasons that you actually see babies

0:23:50.280 --> 0:23:51.640
<v Speaker 3>come into the Nike.

0:23:51.400 --> 0:23:53.679
<v Speaker 6>You, yes, that was one of the main reasons.

0:23:53.720 --> 0:23:54.000
<v Speaker 1>Yes.

0:23:54.400 --> 0:23:57.440
<v Speaker 3>And the therapy for this is as simple as.

0:23:57.920 --> 0:24:00.600
<v Speaker 6>Yeah, you cool them down or can be down there normal, Yeah,

0:24:00.840 --> 0:24:03.640
<v Speaker 6>at least some normal thermic because when they have injuries,

0:24:03.640 --> 0:24:06.199
<v Speaker 6>a response to that sort of the whole physiological response

0:24:06.240 --> 0:24:08.520
<v Speaker 6>to an injury is to have a fever, and that

0:24:08.680 --> 0:24:10.920
<v Speaker 6>is detrimental. So we want to keep them cool so

0:24:10.960 --> 0:24:14.000
<v Speaker 6>that they don't set off these cascades of brain injury.

0:24:14.040 --> 0:24:16.440
<v Speaker 6>And that's partly why we build this one device, because

0:24:16.440 --> 0:24:19.400
<v Speaker 6>we want to be able to monitor through the NICK

0:24:19.440 --> 0:24:22.800
<v Speaker 6>you stay and optimize management. But it's interesting, we don't

0:24:22.800 --> 0:24:24.919
<v Speaker 6>even know what the great blood pressure for a newborn is.

0:24:25.280 --> 0:24:25.840
<v Speaker 1>So this is.

0:24:25.760 --> 0:24:28.120
<v Speaker 6>Why we wanted to have a probe that could measures

0:24:28.240 --> 0:24:30.159
<v Speaker 6>reable blood flow to the brain because there is no

0:24:30.240 --> 0:24:33.879
<v Speaker 6>way to monitor whether there's enough brain or oxygen getting

0:24:33.920 --> 0:24:36.159
<v Speaker 6>to the brain with the tools that we have right now.

0:24:36.160 --> 0:24:37.879
<v Speaker 1>I feel like we don't even talk about blood pressure

0:24:37.880 --> 0:24:40.600
<v Speaker 1>when it comes to like infants, right, Yeah, we just don't.

0:24:41.160 --> 0:24:43.800
<v Speaker 1>But you need to know. You did your residency and

0:24:43.800 --> 0:24:47.359
<v Speaker 1>fellowship in the nineteen nineties. Curious how imaging has changed

0:24:47.400 --> 0:24:49.400
<v Speaker 1>since then, and then where do you think, how will

0:24:49.440 --> 0:24:51.520
<v Speaker 1>it improve in the next I don't know, ten years.

0:24:51.760 --> 0:24:53.720
<v Speaker 1>You know what's a smart benchmark? Yeah, yeah, I know.

0:24:53.760 --> 0:24:56.040
<v Speaker 6>When I was in training, netmark was just starting and

0:24:56.080 --> 0:24:58.840
<v Speaker 6>it was very slow. So where we come now is

0:24:59.000 --> 0:25:02.080
<v Speaker 6>the acceleration position is just incredible. What used to take

0:25:02.160 --> 0:25:04.080
<v Speaker 6>us an hour to do we can do in ten

0:25:04.119 --> 0:25:07.879
<v Speaker 6>minutes now, So there was creed. The speed of acquisition

0:25:08.000 --> 0:25:13.199
<v Speaker 6>is huge. Were also developing a lot of analysis that

0:25:13.240 --> 0:25:15.280
<v Speaker 6>we can do after the images are acquired to give

0:25:15.359 --> 0:25:18.520
<v Speaker 6>us more quantitative metrics, because the whole thing in medicine

0:25:18.520 --> 0:25:21.920
<v Speaker 6>to get past the qualitative read of a radiologist, which

0:25:21.960 --> 0:25:24.040
<v Speaker 6>is helpful, but we want to put more numbers on

0:25:24.080 --> 0:25:26.240
<v Speaker 6>it so we can have a more dynamic range on

0:25:26.280 --> 0:25:29.560
<v Speaker 6>how we describe each child and this therefore we can

0:25:29.560 --> 0:25:33.560
<v Speaker 6>get into better precision medicine and help prediction. So we're

0:25:33.560 --> 0:25:37.439
<v Speaker 6>getting more to that quantitative aspect of imaging now, and

0:25:37.840 --> 0:25:39.879
<v Speaker 6>not just bringing but all body parts of course, and

0:25:40.160 --> 0:25:41.600
<v Speaker 6>you know down to fetel age.

0:25:41.680 --> 0:25:46.119
<v Speaker 1>Is it for kids too? Every case is very personal

0:25:46.320 --> 0:25:49.240
<v Speaker 1>and individual? Or are there trends and things that you

0:25:49.280 --> 0:25:51.520
<v Speaker 1>can help in so that one case can help another.

0:25:51.920 --> 0:25:53.720
<v Speaker 1>Is there a body of knowledge that gets built off

0:25:53.760 --> 0:25:53.919
<v Speaker 1>of this?

0:25:54.119 --> 0:25:56.560
<v Speaker 6>Yes, there's body that of knowledge gets built off of this.

0:25:56.680 --> 0:25:58.080
<v Speaker 1>But this is where we come back to AI.

0:25:58.040 --> 0:26:01.200
<v Speaker 6>I only can remember some, you know, even though I've

0:26:01.200 --> 0:26:02.240
<v Speaker 6>been in practice for a long time.

0:26:02.400 --> 0:26:03.600
<v Speaker 1>Things follow out crap.

0:26:05.119 --> 0:26:07.480
<v Speaker 6>So this is where I'm really excited about AI because

0:26:07.520 --> 0:26:10.840
<v Speaker 6>I can, you know, mine oor databases to find where's

0:26:10.880 --> 0:26:14.080
<v Speaker 6>an individual child just like that one I'm treated. Now,

0:26:14.440 --> 0:26:16.639
<v Speaker 6>what did they respond to, what worked for them, and

0:26:16.720 --> 0:26:18.879
<v Speaker 6>how are these two similar? So I can mind the

0:26:18.920 --> 0:26:21.880
<v Speaker 6>databases to start to come up with individual outcome prediction,

0:26:22.320 --> 0:26:23.640
<v Speaker 6>which is what we're doing right now.

0:26:23.680 --> 0:26:24.480
<v Speaker 1>With databases.

0:26:24.520 --> 0:26:27.360
<v Speaker 6>We've got some from some of the major trials for hypothermia,

0:26:27.600 --> 0:26:30.720
<v Speaker 6>and so we can use this large database to start

0:26:30.800 --> 0:26:33.639
<v Speaker 6>try to take individual outcomes. You can say, well, I

0:26:33.680 --> 0:26:36.320
<v Speaker 6>have a newborn with this pH that had these you know,

0:26:36.359 --> 0:26:38.040
<v Speaker 6>and I'm a mother of this age and put in

0:26:38.080 --> 0:26:40.399
<v Speaker 6>features and they could give you from that database an

0:26:40.400 --> 0:26:43.680
<v Speaker 6>outcome prediction. So working on that and also working on

0:26:44.080 --> 0:26:48.280
<v Speaker 6>making data more available to parents because I think a

0:26:48.280 --> 0:26:51.560
<v Speaker 6>lot of parents are very frustrated with trying to read

0:26:51.600 --> 0:26:54.320
<v Speaker 6>the literature, even if you're using chat, GPT or really hard.

0:26:54.320 --> 0:26:55.240
<v Speaker 1>It's really hard.

0:26:55.440 --> 0:26:58.000
<v Speaker 6>And then you get group statistics and then where does

0:26:58.040 --> 0:26:59.920
<v Speaker 6>my kid fit in between the twenty five to seven

0:27:00.160 --> 0:27:02.240
<v Speaker 6>five percent, you know, good outcome or something like that.

0:27:02.840 --> 0:27:06.199
<v Speaker 6>To get chatbots that can work with some of our databases,

0:27:06.200 --> 0:27:10.320
<v Speaker 6>so people anybody can talk to, you know, a physician,

0:27:10.359 --> 0:27:12.280
<v Speaker 6>so to speak, to give the answers that they want.

0:27:12.880 --> 0:27:18.320
<v Speaker 3>That's that's pretty remarkable because you know, I just think

0:27:18.359 --> 0:27:23.600
<v Speaker 3>about the tone of these chatbots and if there's a

0:27:23.640 --> 0:27:26.960
<v Speaker 3>way that they can be you know, we talked about

0:27:27.320 --> 0:27:30.520
<v Speaker 3>we talked earlier this week about what a challenge it

0:27:30.520 --> 0:27:33.480
<v Speaker 3>can be for people to actually interact with them in

0:27:33.560 --> 0:27:36.720
<v Speaker 3>an you quote unquote normal way. But is there a

0:27:36.720 --> 0:27:40.280
<v Speaker 3>way for them to actually be empathetic and work with patients,

0:27:40.320 --> 0:27:42.120
<v Speaker 3>work with parents and with families.

0:27:41.800 --> 0:27:43.360
<v Speaker 1>If you give us we've got about forty second.

0:27:43.400 --> 0:27:44.880
<v Speaker 6>Yeah, yeah, no, we're working on that. But I can't

0:27:44.920 --> 0:27:46.920
<v Speaker 6>tell you all the secrets because we're.

0:27:46.520 --> 0:27:51.119
<v Speaker 1>Hang know, you go over the that. Can I ask you,

0:27:51.400 --> 0:27:54.720
<v Speaker 1>when you guys do use AI in chat? Do you

0:27:54.760 --> 0:27:57.840
<v Speaker 1>have hallucinations? Like do the AI hallucinations. Do you or

0:27:57.880 --> 0:28:00.560
<v Speaker 1>how do you? Especially when you're dealing with medical y prevention.

0:28:00.720 --> 0:28:02.320
<v Speaker 6>There was a lot of safeguards who put around that,

0:28:03.040 --> 0:28:06.360
<v Speaker 6>so it's we have again. This is sort of more

0:28:06.440 --> 0:28:08.480
<v Speaker 6>the secret sauce that I can't talk about yet, but

0:28:09.240 --> 0:28:13.440
<v Speaker 6>there are ways to constrain chatbots to give you reasonable

0:28:13.480 --> 0:28:15.800
<v Speaker 6>answers that are statistically found.

0:28:15.840 --> 0:28:17.200
<v Speaker 1>All right, so when you can, when you come back,

0:28:17.240 --> 0:28:20.200
<v Speaker 1>yes it will Okay, good stuff. So appreciate Doctor Ellen Grant,

0:28:20.240 --> 0:28:23.960
<v Speaker 1>Director of Fetal Neonatal, Neuroimaging and Developmental Sciences here at

0:28:23.960 --> 0:28:26.360
<v Speaker 1>Boston Children's Hospital. Thank you again. Thank you. You guys

0:28:26.400 --> 0:28:28.840
<v Speaker 1>are all amazing, They're all behind us.

0:28:32.680 --> 0:28:36.679
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:28:36.760 --> 0:28:40.160
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:28:40.240 --> 0:28:43.800
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:28:43.960 --> 0:28:46.160
<v Speaker 2>or watch us live on YouTube.

0:28:46.600 --> 0:28:50.000
<v Speaker 1>We continue with more of our conversations from Boston Children's Hospital.

0:28:50.240 --> 0:28:52.480
<v Speaker 1>It was a broadcast we did earlier this month of

0:28:52.560 --> 0:28:55.200
<v Speaker 1>Remote where we spoke with some of the nations leading

0:28:55.240 --> 0:28:58.680
<v Speaker 1>doctors on matters related to health, health policy and innovation

0:28:59.320 --> 0:29:02.200
<v Speaker 1>when it comes to medical care, especially for kids.

0:29:02.120 --> 0:29:04.000
<v Speaker 3>Well a fixture at my high school in college was

0:29:04.000 --> 0:29:08.360
<v Speaker 3>torn acls volleyball, across soccer, field hockey. That's torn ACL,

0:29:08.400 --> 0:29:11.360
<v Speaker 3>the surgery to reconstruct it, weeks on crutches, and then

0:29:11.480 --> 0:29:15.400
<v Speaker 3>months of recovery. This is doctor Martha Murray's world. She's

0:29:15.520 --> 0:29:18.840
<v Speaker 3>orthopedic surgeon in chief of Boston Children's Hospital. She joined

0:29:18.880 --> 0:29:22.080
<v Speaker 3>us from the hospital. Why do ACL tears affect women

0:29:22.120 --> 0:29:22.600
<v Speaker 3>more than men?

0:29:22.800 --> 0:29:24.840
<v Speaker 7>Well, it's a really interesting question, and it's been one

0:29:24.840 --> 0:29:27.040
<v Speaker 7>of much debate for the last few decades, and there

0:29:27.040 --> 0:29:29.280
<v Speaker 7>have been things like, well it must be a hormone cycle,

0:29:29.480 --> 0:29:31.959
<v Speaker 7>or it's the shape of women's hips and their valgus

0:29:31.960 --> 0:29:35.240
<v Speaker 7>angles to their knees. But a really interesting study came

0:29:35.280 --> 0:29:37.800
<v Speaker 7>out very recently from the Harvard School of Public Health

0:29:37.800 --> 0:29:40.920
<v Speaker 7>as well as Harvard University with doctor Danielson and doctor Richardson,

0:29:41.320 --> 0:29:43.440
<v Speaker 7>where they actually showed that the studies that say that

0:29:43.480 --> 0:29:46.520
<v Speaker 7>women tear their ACL more frequently than men were often

0:29:46.560 --> 0:29:49.920
<v Speaker 7>based when the women's teams were smaller than the men's teams,

0:29:50.280 --> 0:29:52.680
<v Speaker 7>and the way they calculated exposures was the number of

0:29:52.720 --> 0:29:56.520
<v Speaker 7>practices or games you played in, not necessarily your playing time.

0:29:57.080 --> 0:29:59.400
<v Speaker 7>So if you're a man, who's on a hockey team

0:29:59.760 --> 0:30:01.880
<v Speaker 7>versus as a woman who's on a hockey team. The

0:30:01.920 --> 0:30:04.600
<v Speaker 7>women's teams were smaller, so those women were playing more

0:30:04.640 --> 0:30:07.360
<v Speaker 7>so they were planting and hockey that's a bad example.

0:30:07.400 --> 0:30:09.760
<v Speaker 7>Soccer would be better, but if the team is smaller,

0:30:10.040 --> 0:30:11.800
<v Speaker 7>the women are going to be planting and pivoting and

0:30:11.840 --> 0:30:15.000
<v Speaker 7>playing much more time per game or practice.

0:30:14.560 --> 0:30:17.400
<v Speaker 1>Some more stress, more use more stress, more use more TEK.

0:30:17.640 --> 0:30:20.240
<v Speaker 3>So maybe it's not Maybe women in all things equal,

0:30:20.440 --> 0:30:22.880
<v Speaker 3>Maybe women and men don't have a different rate of

0:30:22.960 --> 0:30:24.280
<v Speaker 3>torn ACL correct.

0:30:24.000 --> 0:30:26.920
<v Speaker 7>When when they corrected for unit of exposure, so kind

0:30:26.960 --> 0:30:29.800
<v Speaker 7>of game time playing rather than just a game, the

0:30:30.000 --> 0:30:31.360
<v Speaker 7>injury rates look very similar.

0:30:31.720 --> 0:30:35.760
<v Speaker 3>Wow, that's totally different than what's I mean, do you

0:30:35.840 --> 0:30:38.400
<v Speaker 3>is that? Do you is this the standard now? I

0:30:38.400 --> 0:30:39.160
<v Speaker 3>mean do you think this is?

0:30:39.880 --> 0:30:42.520
<v Speaker 7>It's relatively new work that's coming out, but it resonates

0:30:42.560 --> 0:30:44.120
<v Speaker 7>with most of us who take care of women and

0:30:44.200 --> 0:30:46.280
<v Speaker 7>men on their on their athletic teams.

0:30:46.440 --> 0:30:46.760
<v Speaker 5>Yeah.

0:30:46.920 --> 0:30:49.600
<v Speaker 1>I want to ask about your background material science and engineering.

0:30:50.120 --> 0:30:51.800
<v Speaker 1>I know Tim said it not typical for a surgeon,

0:30:51.880 --> 0:30:55.320
<v Speaker 1>but I think it's it's a really smart combination. Well,

0:30:55.360 --> 0:30:58.760
<v Speaker 1>I have a doctor, a foot doctor, same thing. Engineering

0:30:58.840 --> 0:31:01.280
<v Speaker 1>and like he is and just deal with my foot.

0:31:01.280 --> 0:31:03.160
<v Speaker 1>He thinks about, Okay, what are you doing? What else

0:31:03.200 --> 0:31:05.000
<v Speaker 1>is going on in your body? Tell me about that

0:31:05.080 --> 0:31:07.840
<v Speaker 1>mix and why it's kind of unique and smart and

0:31:08.440 --> 0:31:09.360
<v Speaker 1>ties things together.

0:31:09.600 --> 0:31:09.800
<v Speaker 4>Well.

0:31:09.840 --> 0:31:11.920
<v Speaker 7>For me, it was actually a necessity.

0:31:12.000 --> 0:31:12.160
<v Speaker 5>Right.

0:31:12.240 --> 0:31:15.560
<v Speaker 7>So I was an engineering graduate student and a friend

0:31:15.600 --> 0:31:17.160
<v Speaker 7>of mine came into a party one night and then

0:31:17.280 --> 0:31:19.480
<v Speaker 7>on crutches as Tim was saying and who had torn

0:31:19.480 --> 0:31:21.200
<v Speaker 7>his ACL? And I said, oh, are they going to

0:31:21.240 --> 0:31:23.480
<v Speaker 7>go sew it back together? And he was a med student.

0:31:23.520 --> 0:31:25.400
<v Speaker 7>He was like, you, stupid engineer, We can't sew it

0:31:25.440 --> 0:31:27.560
<v Speaker 7>back together. You have to take it out and replace

0:31:27.560 --> 0:31:28.920
<v Speaker 7>it with the graft of tenant that they're going to

0:31:28.960 --> 0:31:30.200
<v Speaker 7>take from the back of my leg. And then it's

0:31:30.240 --> 0:31:34.400
<v Speaker 7>all this rehab. And I thought that seems kind of excessive, right,

0:31:34.520 --> 0:31:36.360
<v Speaker 7>Like that's a lot to have to go through. And

0:31:36.440 --> 0:31:38.160
<v Speaker 7>so I spent the next six months or so in

0:31:38.160 --> 0:31:40.520
<v Speaker 7>the medical school library just reading everything I could about

0:31:40.520 --> 0:31:43.280
<v Speaker 7>why didn't the ACL heal? And I realized nobody really

0:31:43.320 --> 0:31:45.080
<v Speaker 7>had figured out why it didn't. He know, they tried

0:31:45.080 --> 0:31:47.000
<v Speaker 7>it sewing back together didn't work. So then went to

0:31:47.160 --> 0:31:49.720
<v Speaker 7>grafts and we've been doing graphs for fifty years and

0:31:49.800 --> 0:31:52.600
<v Speaker 7>nobody really asked why doesn't it heal? And so for

0:31:52.680 --> 0:31:55.000
<v Speaker 7>me then there was no biomedical engineering at that time,

0:31:55.080 --> 0:31:57.760
<v Speaker 7>and so my choices were to continue on with my project,

0:31:57.760 --> 0:32:01.360
<v Speaker 7>which was developing airplane wings were invisible to you know,

0:32:01.480 --> 0:32:04.480
<v Speaker 7>to radar, and I thought, well, that's a really cool project,

0:32:04.480 --> 0:32:06.240
<v Speaker 7>but I really want to figure out this ACL thing.

0:32:06.600 --> 0:32:07.960
<v Speaker 7>And my advisor was like, well, I guess you could

0:32:07.960 --> 0:32:08.760
<v Speaker 7>go to medical school.

0:32:10.080 --> 0:32:11.360
<v Speaker 1>This is a Netflix series.

0:32:12.240 --> 0:32:14.280
<v Speaker 3>Okay, Well, the advisor obviously had an impact in your

0:32:14.320 --> 0:32:16.959
<v Speaker 3>friend obviously had an impact. But fast forward, you know,

0:32:17.280 --> 0:32:20.200
<v Speaker 3>thirty years plus and you have actually invented a new

0:32:20.200 --> 0:32:24.000
<v Speaker 3>way to treat ACL tears. The bear mackod you did

0:32:24.040 --> 0:32:27.160
<v Speaker 3>figure out that there's a reason why acls don't heal

0:32:27.240 --> 0:32:31.120
<v Speaker 3>like an MCL would actually heal. Why is that, Well,

0:32:31.120 --> 0:32:31.960
<v Speaker 3>it's really interesting.

0:32:32.000 --> 0:32:34.360
<v Speaker 7>So both the medial collateral ligament and the anti a

0:32:34.320 --> 0:32:36.440
<v Speaker 7>cruciate ligament are ligaments. When you look at them under

0:32:36.440 --> 0:32:39.720
<v Speaker 7>the microscope, they look very similar. But interestingly, when the

0:32:39.840 --> 0:32:41.840
<v Speaker 7>MCL tears, you can go on to brace in it

0:32:41.920 --> 0:32:44.000
<v Speaker 7>about six weeks that ligament will heal fine in your

0:32:44.040 --> 0:32:47.520
<v Speaker 7>back playing soccer. In contrast, the ACL. When it tears,

0:32:47.720 --> 0:32:49.320
<v Speaker 7>even if we try to sew it back together, it

0:32:49.320 --> 0:32:52.360
<v Speaker 7>doesn't heal, and so we wondered why, and so we

0:32:52.400 --> 0:32:53.960
<v Speaker 7>did a series of studies where we looked and we

0:32:54.000 --> 0:32:56.840
<v Speaker 7>compared the two tissues in their response to injury. And

0:32:56.920 --> 0:32:59.160
<v Speaker 7>what we found was that actually the response to injury

0:32:59.240 --> 0:33:01.200
<v Speaker 7>is very similar in the two ligaments. So the tissue

0:33:01.200 --> 0:33:02.920
<v Speaker 7>and the cells and the tissue were doing exactly what

0:33:02.960 --> 0:33:05.080
<v Speaker 7>they were supposed to do in both tissues. But the

0:33:05.080 --> 0:33:08.000
<v Speaker 7>difference was in the MCL. When it tears, the ends bleed,

0:33:08.360 --> 0:33:11.200
<v Speaker 7>and that blood clots informs what we call a hematoma

0:33:11.280 --> 0:33:13.760
<v Speaker 7>between the two torn ends of the ligament. And then,

0:33:13.880 --> 0:33:15.840
<v Speaker 7>in contrast, in the ACL, because it lives in this

0:33:15.920 --> 0:33:19.320
<v Speaker 7>fluid environment of the joint, the ends bleed, but instead

0:33:19.320 --> 0:33:21.760
<v Speaker 7>of making a clot or hematoma between the torn ends

0:33:21.760 --> 0:33:24.200
<v Speaker 7>of the ligament, the blood disperses through the fluid of

0:33:24.240 --> 0:33:27.080
<v Speaker 7>the joint, and so the two ends never have that scaffolding,

0:33:27.120 --> 0:33:30.520
<v Speaker 7>that biologic scaffolding to hold them back together. So once

0:33:30.520 --> 0:33:32.760
<v Speaker 7>we discovered that, then it was a fairly logical step

0:33:32.800 --> 0:33:35.120
<v Speaker 7>to say, is there some way we could immobilize the

0:33:35.160 --> 0:33:37.520
<v Speaker 7>blood in between those two torn ligament ends and get

0:33:37.560 --> 0:33:40.400
<v Speaker 7>that biologic signal where it needs to be to encourage

0:33:40.440 --> 0:33:43.280
<v Speaker 7>healing of the ACL, and that's really what Bridge Enhanced

0:33:43.320 --> 0:33:46.800
<v Speaker 7>ACL repair or BEAR is. So the magic is kind

0:33:46.800 --> 0:33:49.080
<v Speaker 7>of the sponge that we've developed that can absorb the

0:33:49.120 --> 0:33:52.080
<v Speaker 7>patient's blood. You can place that blood laden sponge in

0:33:52.120 --> 0:33:54.440
<v Speaker 7>between the torn ends of the ACL, so the acal

0:33:54.480 --> 0:33:54.960
<v Speaker 7>back together.

0:33:55.000 --> 0:33:55.720
<v Speaker 1>But now you have the.

0:33:55.640 --> 0:33:58.960
<v Speaker 7>Biology plus the sutures and the repair and the ligament

0:33:59.000 --> 0:33:59.400
<v Speaker 7>will heal.

0:34:00.160 --> 0:34:04.040
<v Speaker 3>So what is done in terms of numbers or percentage

0:34:04.080 --> 0:34:07.960
<v Speaker 3>with the method that you pioneered, what you invented, versus

0:34:09.480 --> 0:34:12.000
<v Speaker 3>actual reconstruction and using other ligaments.

0:34:12.280 --> 0:34:14.319
<v Speaker 7>That's a great question. So this is still fairly new.

0:34:14.400 --> 0:34:18.120
<v Speaker 7>So we got FDA approval for this product in twenty

0:34:18.160 --> 0:34:20.360
<v Speaker 7>twenty and so it's only been in practice for a

0:34:20.360 --> 0:34:23.480
<v Speaker 7>few years now. There's studies coming out of Children's here,

0:34:23.480 --> 0:34:25.200
<v Speaker 7>which is where we did the first studies, of course,

0:34:25.680 --> 0:34:27.880
<v Speaker 7>but now other centers are coming along and doing follow

0:34:27.920 --> 0:34:29.719
<v Speaker 7>on studies and those results are starting to come out

0:34:29.760 --> 0:34:31.880
<v Speaker 7>and it's very exciting to watch it grow.

0:34:32.400 --> 0:34:35.000
<v Speaker 1>I'm also curious you mentioned but like FDA approval, like

0:34:35.239 --> 0:34:38.400
<v Speaker 1>the approval process, is it a smart one? Is it

0:34:38.440 --> 0:34:40.359
<v Speaker 1>the right one? In terms of making sure that what's

0:34:40.400 --> 0:34:43.640
<v Speaker 1>being done and studied, the R and D, that it's

0:34:43.640 --> 0:34:45.520
<v Speaker 1>safe for when it's finally done on patients, or is

0:34:46.120 --> 0:34:50.520
<v Speaker 1>it preventing things from maybe putting put into you sooner?

0:34:50.960 --> 0:34:53.279
<v Speaker 1>Like I'm just curious where you guys weigh in. You're

0:34:53.280 --> 0:34:56.040
<v Speaker 1>in it, You're in it every day. Yeah, I think

0:34:56.080 --> 0:34:58.160
<v Speaker 1>it's a delicate balance. But I would say in our

0:34:58.200 --> 0:35:01.279
<v Speaker 1>personal experience, the Fday was an amazing partner. Okay, So

0:35:01.360 --> 0:35:03.680
<v Speaker 1>we were able to get into an early adoption program

0:35:03.719 --> 0:35:05.840
<v Speaker 1>where they actually met with us and helped us and

0:35:05.840 --> 0:35:08.000
<v Speaker 1>put together a panel of experts that would help us

0:35:08.280 --> 0:35:10.800
<v Speaker 1>figure out how to make this the safest possible product

0:35:10.840 --> 0:35:13.080
<v Speaker 1>and the most effective product before we went to patients,

0:35:13.520 --> 0:35:15.920
<v Speaker 1>and we found their advice incredibly valuable. There was a

0:35:15.920 --> 0:35:18.680
<v Speaker 1>lot of conversation and back and forth and just having

0:35:18.760 --> 0:35:21.360
<v Speaker 1>them it felt like it was a team effort because

0:35:21.360 --> 0:35:23.319
<v Speaker 1>we were in alignment. I mean, as a physician, I

0:35:23.360 --> 0:35:24.920
<v Speaker 1>was going to be shaking the hands of these patients

0:35:24.920 --> 0:35:27.200
<v Speaker 1>that my partners were, and we wanted to make sure

0:35:27.239 --> 0:35:28.400
<v Speaker 1>things were as safe as possible.

0:35:28.400 --> 0:35:29.160
<v Speaker 4>So they helped us with that.

0:35:29.320 --> 0:35:33.560
<v Speaker 3>Do we have data yet on long term impact or

0:35:33.800 --> 0:35:37.560
<v Speaker 3>long term outcomes. Yet when it comes to the bare procedure.

0:35:37.200 --> 0:35:39.240
<v Speaker 7>Yeah, our longest data that we have is at about

0:35:39.280 --> 0:35:41.360
<v Speaker 7>six years, and it's only in the small number of

0:35:41.440 --> 0:35:43.840
<v Speaker 7>patients in those first studies that we did. But the

0:35:43.880 --> 0:35:46.240
<v Speaker 7>reason that we want to study at longer term is because,

0:35:46.400 --> 0:35:49.200
<v Speaker 7>as you may know, many of these patients will develop

0:35:49.280 --> 0:35:52.560
<v Speaker 7>arthritis early in life, and as a pediatric orthopedic surgeon,

0:35:52.840 --> 0:35:54.600
<v Speaker 7>I want to make sure we have a procedure that's

0:35:54.600 --> 0:35:57.160
<v Speaker 7>going to last my patients for sixty or seventy years,

0:35:57.239 --> 0:35:59.520
<v Speaker 7>not have the knee breakdown in ten or twenty years.

0:36:00.200 --> 0:36:03.319
<v Speaker 7>And so we're very interested in this arthritis question with

0:36:03.400 --> 0:36:06.000
<v Speaker 7>bear and in our preclinical studies we were able to

0:36:06.040 --> 0:36:10.800
<v Speaker 7>see that arthritis was actually much less in the subjects

0:36:10.840 --> 0:36:13.520
<v Speaker 7>that we treated with an acl repair with the sponge

0:36:13.680 --> 0:36:16.120
<v Speaker 7>versus a reconstruction. So we're interested in seeing if that

0:36:16.160 --> 0:36:18.080
<v Speaker 7>same thing plays out in patients, and the early data

0:36:18.120 --> 0:36:21.040
<v Speaker 7>suggest that it will it is true, but again that's

0:36:21.160 --> 0:36:23.319
<v Speaker 7>very early data on small numbers of patients, so we're

0:36:23.320 --> 0:36:24.719
<v Speaker 7>excited to see how that pans out.

0:36:24.760 --> 0:36:27.960
<v Speaker 1>We're talking with doctor Martha Murray. She's orthopedic surgeon and

0:36:28.040 --> 0:36:30.960
<v Speaker 1>CHI for Boston Children's Hospital that's where we are Tim

0:36:31.000 --> 0:36:35.640
<v Speaker 1>and me on this Friday. Preventive care. Like, so much

0:36:35.680 --> 0:36:38.640
<v Speaker 1>of what we talk about often when we're doing interviews

0:36:38.640 --> 0:36:40.879
<v Speaker 1>is preventive care. And I feel like the whole health

0:36:40.920 --> 0:36:42.920
<v Speaker 1>community has been thinking about this for a long time.

0:36:42.960 --> 0:36:45.560
<v Speaker 1>So what's the preventive care so that as much as

0:36:45.560 --> 0:36:48.080
<v Speaker 1>we don't want you unemployed, like, how do we think

0:36:48.120 --> 0:36:50.840
<v Speaker 1>about taking better care if we're living longer? Like, how

0:36:50.880 --> 0:36:51.680
<v Speaker 1>do we think about this?

0:36:52.120 --> 0:36:54.400
<v Speaker 7>So there's a couple questions on that. So one is

0:36:54.480 --> 0:36:56.920
<v Speaker 7>how do we help our teenagers reduce their risk of injury?

0:36:56.920 --> 0:36:58.839
<v Speaker 7>And I think the main thing for that for our

0:36:58.880 --> 0:36:59.959
<v Speaker 7>athletes when they're in it.

0:37:00.000 --> 0:37:01.920
<v Speaker 1>If we push kids when they're younger. I think a

0:37:01.960 --> 0:37:03.840
<v Speaker 1>lot of parents really push kids.

0:37:04.200 --> 0:37:05.680
<v Speaker 7>So some things we can do to help them is

0:37:05.719 --> 0:37:08.600
<v Speaker 7>help them work on strengthening in addition to just play time.

0:37:09.120 --> 0:37:11.360
<v Speaker 7>And another thing is cross training, So not playing the

0:37:11.360 --> 0:37:13.520
<v Speaker 7>same sport all year round or playing the same sport

0:37:13.520 --> 0:37:15.440
<v Speaker 7>every day, giving their body a chance to rest and

0:37:15.480 --> 0:37:17.280
<v Speaker 7>heal between exposures to sport.

0:37:17.560 --> 0:37:18.600
<v Speaker 1>Does it's as simple as that?

0:37:18.800 --> 0:37:19.040
<v Speaker 4>I think?

0:37:19.080 --> 0:37:22.760
<v Speaker 3>So, Wow, does ACL tear happen more in kids than adults?

0:37:22.920 --> 0:37:25.200
<v Speaker 3>Or and if yes, is it because kids are the

0:37:25.239 --> 0:37:27.000
<v Speaker 3>ones who are playing sports, and you know we're just

0:37:27.040 --> 0:37:27.920
<v Speaker 3>sitting at computers.

0:37:28.239 --> 0:37:30.080
<v Speaker 7>I think that's probably part of it. Again, it gets

0:37:30.080 --> 0:37:32.600
<v Speaker 7>to this exposure question. How many times do you plant

0:37:32.640 --> 0:37:34.800
<v Speaker 7>and change direction? And so the peak of a c.

0:37:34.960 --> 0:37:37.840
<v Speaker 7>Andrews is really the high school athlete because there's so

0:37:37.880 --> 0:37:40.800
<v Speaker 7>many everybody's playing a sport and so we see a

0:37:40.840 --> 0:37:41.359
<v Speaker 7>lot of them there.

0:37:41.400 --> 0:37:43.040
<v Speaker 1>I want to ask you at social media and all

0:37:43.080 --> 0:37:45.440
<v Speaker 1>of us sitting on phones, are sitting in front of screens,

0:37:45.520 --> 0:37:47.400
<v Speaker 1>like I just I keep thinking that we're going to

0:37:47.440 --> 0:37:48.920
<v Speaker 1>one day. I don't know whether it's fifty years from

0:37:48.920 --> 0:37:50.960
<v Speaker 1>now we're going to have a neck that basically goes

0:37:51.000 --> 0:37:52.520
<v Speaker 1>over there or maybe not because we're going to have

0:37:52.560 --> 0:37:55.080
<v Speaker 1>glasses on. And that's like, how do you think about

0:37:55.080 --> 0:37:56.520
<v Speaker 1>this digital world? You're laughing?

0:37:56.560 --> 0:37:59.319
<v Speaker 3>But can we surgically remove my phone from my hand?

0:37:59.360 --> 0:37:59.920
<v Speaker 3>That's what That's what.

0:38:00.360 --> 0:38:02.600
<v Speaker 1>But I do think about what it's doing to us.

0:38:03.280 --> 0:38:06.200
<v Speaker 7>Well, I look at it not just one fixed for you.

0:38:06.239 --> 0:38:08.200
<v Speaker 7>I don't know if I can fix the social media.

0:38:08.200 --> 0:38:11.080
<v Speaker 1>But physically, like I'm just thinking like how you know

0:38:11.200 --> 0:38:13.640
<v Speaker 1>kids are in their phones constantly and stuff, and like

0:38:13.680 --> 0:38:15.840
<v Speaker 1>the shape like like do we need to be thinking

0:38:15.840 --> 0:38:18.560
<v Speaker 1>about what this is doing kind of to our spine

0:38:18.560 --> 0:38:20.160
<v Speaker 1>and different things. I think so.

0:38:20.239 --> 0:38:22.279
<v Speaker 7>But I also think things come in cycles, right, And

0:38:22.320 --> 0:38:23.800
<v Speaker 7>we see now if you walk down the street, you

0:38:23.840 --> 0:38:25.960
<v Speaker 7>see everybody's on their phone. I think we're gonna five

0:38:26.040 --> 0:38:27.440
<v Speaker 7>years from now, we're going to look at back at

0:38:27.440 --> 0:38:29.480
<v Speaker 7>that and say why are we doing that? You know,

0:38:29.640 --> 0:38:32.720
<v Speaker 7>maybe we'll start looking up at the sky more, I hope. So, yeah,

0:38:32.760 --> 0:38:33.560
<v Speaker 7>that's what I hope too.

0:38:34.160 --> 0:38:34.399
<v Speaker 4>Yeah.

0:38:34.440 --> 0:38:36.399
<v Speaker 3>I mean, gosh, that's like your open air.

0:38:36.840 --> 0:38:38.800
<v Speaker 1>I know. I just I look around on the subway

0:38:38.840 --> 0:38:41.080
<v Speaker 1>and just everybody and I'm just thinking the curvature and

0:38:41.160 --> 0:38:43.160
<v Speaker 1>I don't know, whatever, what's the next thing you're working

0:38:43.200 --> 0:38:44.400
<v Speaker 1>on or that you're excited about.

0:38:44.800 --> 0:38:46.600
<v Speaker 7>I'm really excited about a product that we' working on

0:38:46.640 --> 0:38:50.640
<v Speaker 7>for rotator cuff injuries. And it's a product that's injectable,

0:38:50.800 --> 0:38:52.200
<v Speaker 7>so that potentially.

0:38:51.719 --> 0:38:52.320
<v Speaker 3>It is great.

0:38:52.480 --> 0:38:54.560
<v Speaker 7>Yeah, you can have ultras on your shoulder, see where

0:38:54.600 --> 0:38:56.759
<v Speaker 7>the tear is, and then inject the product into the tear,

0:38:56.760 --> 0:38:59.120
<v Speaker 7>maybe in an office visit. So that's what we're going on,

0:38:59.200 --> 0:39:00.279
<v Speaker 7>but very early day on that.

0:39:00.360 --> 0:39:02.439
<v Speaker 3>Again, a challenge with pediatric patients as well.

0:39:02.560 --> 0:39:04.520
<v Speaker 7>No, this is more adults but we were just we

0:39:04.560 --> 0:39:06.600
<v Speaker 7>thought we could make this work for a ligament. Maybe

0:39:06.600 --> 0:39:08.440
<v Speaker 7>we could try it for the rotator cuff ten And and

0:39:08.840 --> 0:39:10.719
<v Speaker 7>the nice thing about the rotator cuff is it is

0:39:10.800 --> 0:39:13.720
<v Speaker 7>accessible by ultrasound and injection and it's a pretty easy

0:39:13.800 --> 0:39:15.920
<v Speaker 7>model for us to study if we can make that

0:39:16.000 --> 0:39:18.520
<v Speaker 7>injectable work there, and there's lots of other places we

0:39:18.520 --> 0:39:20.479
<v Speaker 7>could apply a meniscus other things.

0:39:20.520 --> 0:39:22.400
<v Speaker 3>Did you ever figure out the invisible airplane wings?

0:39:22.840 --> 0:39:23.000
<v Speaker 4>No?

0:39:24.239 --> 0:39:24.799
<v Speaker 1>Not too late?

0:39:24.880 --> 0:39:28.360
<v Speaker 7>Well, social media Visible Airplane Wings ACL wrote that you guys.

0:39:28.239 --> 0:39:28.839
<v Speaker 1>Are killing me.

0:39:29.280 --> 0:39:32.279
<v Speaker 3>Well, we are glad you ended up going into pediatric

0:39:32.360 --> 0:39:33.520
<v Speaker 3>orthopedic surgery app.

0:39:33.560 --> 0:39:37.239
<v Speaker 1>Is there another career like to add on after this?

0:39:38.040 --> 0:39:40.600
<v Speaker 1>You could do it. You could do it. This was

0:39:40.640 --> 0:39:42.600
<v Speaker 1>so much fun. It was fun. Thank you guys very much,

0:39:42.600 --> 0:39:46.320
<v Speaker 1>Doctor Martha Murray, she's orthopedic surgeon chief for Boston Children's Hospital.

0:39:48.040 --> 0:39:51.879
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:39:52.000 --> 0:39:54.920
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:39:54.960 --> 0:39:57.799
<v Speaker 2>Play and the Android Auto with the Bloomberg Business app.

0:39:57.880 --> 0:40:00.640
<v Speaker 2>You can also listen live on Amazon alone from our

0:40:00.680 --> 0:40:04.400
<v Speaker 2>flagship New York station, just Say Alexa played Bloomberg eleven

0:40:04.520 --> 0:40:06.440
<v Speaker 2>thirty blendy ahead.

0:40:06.200 --> 0:40:08.240
<v Speaker 1>In our second hour of the weekend edition of Bloomberg

0:40:08.280 --> 0:40:12.040
<v Speaker 1>Business Week, a special holiday edition, as we dig into travel,

0:40:12.120 --> 0:40:14.360
<v Speaker 1>spirits and more. We're going to catch up with the

0:40:14.360 --> 0:40:17.520
<v Speaker 1>founder and CEO farm Girl Flowers on running her multimillion

0:40:17.560 --> 0:40:20.839
<v Speaker 1>dollar business. We'll hear about the consumer from her, and yes,

0:40:20.880 --> 0:40:22.560
<v Speaker 1>we're going to talk even a little AI.

0:40:22.960 --> 0:40:26.320
<v Speaker 3>Plus we talk bourbon jen Rye ready to drink cocktails

0:40:26.400 --> 0:40:29.839
<v Speaker 3>and changing consumer habits with the CEO of the US

0:40:29.920 --> 0:40:31.200
<v Speaker 3>spirits brand Craft Co.

0:40:31.680 --> 0:40:35.120
<v Speaker 1>First up this hour, Thanksgiving weekend. No surprise, it is

0:40:35.200 --> 0:40:38.040
<v Speaker 1>one of the busiest holiday weekends for travel. Triple A

0:40:38.160 --> 0:40:41.680
<v Speaker 1>projects nearly eighty two million people will travel at least

0:40:41.719 --> 0:40:44.680
<v Speaker 1>fifty miles from home over the Thanksgiving holiday period, which

0:40:44.719 --> 0:40:48.400
<v Speaker 1>goes from Tuesday November twenty fifth to Monday, December first.

0:40:48.760 --> 0:40:51.680
<v Speaker 1>This year's domestic travel forecast includes an additional one point

0:40:51.719 --> 0:40:55.400
<v Speaker 1>six million travelers compared to last Thanksgiving, and if so,

0:40:55.640 --> 0:40:57.560
<v Speaker 1>that would set a new overall record.

0:40:58.200 --> 0:41:00.799
<v Speaker 3>Travel is less subject to in flation pressures, but if

0:41:00.840 --> 0:41:03.879
<v Speaker 3>consumers are feeling the squeeze, they still may cut back

0:41:03.880 --> 0:41:07.240
<v Speaker 3>their travel spending. Somebody who's got a pulse on travel spending,

0:41:07.280 --> 0:41:10.520
<v Speaker 3>as Mike Brown, who's president's CEO of travel and Leisure.

0:41:10.840 --> 0:41:13.960
<v Speaker 3>It's got close to twenty resort, travel, club and lifestyle brands,

0:41:14.000 --> 0:41:17.520
<v Speaker 3>including Margaritaville, Vacation Club, Club, Windom and more.

0:41:18.000 --> 0:41:21.319
<v Speaker 8>Well, ultimately we're one hundred percent leisure travel company and

0:41:21.480 --> 0:41:25.400
<v Speaker 8>our demographic is around one hundred and ten thousand dollars

0:41:25.480 --> 0:41:28.360
<v Speaker 8>of average income, average FIICO over seven hundred and thirty

0:41:29.520 --> 0:41:35.839
<v Speaker 8>average FICO score, age group upper forties, low fifties. And

0:41:35.880 --> 0:41:38.279
<v Speaker 8>really what when you start to think about who likes

0:41:38.400 --> 0:41:41.759
<v Speaker 8>to travel with us, no matter the brand, They want

0:41:41.760 --> 0:41:46.040
<v Speaker 8>bigger accommodations, they want consistency of brands, and they want

0:41:46.080 --> 0:41:50.000
<v Speaker 8>good value for their money. And that's really the space

0:41:50.040 --> 0:41:52.399
<v Speaker 8>that we operate in. And if you think about these

0:41:52.480 --> 0:41:55.920
<v Speaker 8>last five years, where inflation is running high and you've

0:41:55.960 --> 0:41:59.040
<v Speaker 8>already locked in your vacation dollars, the value component has

0:41:59.080 --> 0:42:00.000
<v Speaker 8>been really strong.

0:42:00.080 --> 0:42:02.440
<v Speaker 9>This propelled our growth here in the last five years.

0:42:02.880 --> 0:42:05.719
<v Speaker 3>How much of your business is sales of new memberships

0:42:05.840 --> 0:42:10.360
<v Speaker 3>versus people actually just using what they bought maybe years ago.

0:42:11.160 --> 0:42:14.880
<v Speaker 8>Right, It's actually one of the best endorsements of people's

0:42:15.239 --> 0:42:18.520
<v Speaker 8>love of the product is that every year about sixty

0:42:18.560 --> 0:42:22.040
<v Speaker 8>five percent of our incremental purchases are from people who

0:42:22.080 --> 0:42:24.920
<v Speaker 8>already own with us and want either more space or

0:42:24.920 --> 0:42:28.120
<v Speaker 8>more vacation time. The rest are from our new owner

0:42:28.160 --> 0:42:31.200
<v Speaker 8>base who are dipping their toe in the water and

0:42:31.239 --> 0:42:34.320
<v Speaker 8>seeing what this type of vacation travel is all about.

0:42:35.000 --> 0:42:37.520
<v Speaker 8>So not only are we getting two thirds of our

0:42:37.560 --> 0:42:41.520
<v Speaker 8>sale roughly from people who already own with us, what

0:42:41.560 --> 0:42:43.759
<v Speaker 8>we also see is the people who've paid for their

0:42:43.800 --> 0:42:44.680
<v Speaker 8>ownership already.

0:42:44.680 --> 0:42:46.919
<v Speaker 9>There's a ninety eight percent retention rate.

0:42:47.000 --> 0:42:50.839
<v Speaker 8>So two massive validations that once people own, they really

0:42:50.840 --> 0:42:52.439
<v Speaker 8>love the product and keep buying more.

0:42:52.840 --> 0:42:56.400
<v Speaker 3>So, you know, timeshares, they get a bad rap, and

0:42:56.440 --> 0:42:58.520
<v Speaker 3>they have a bad rap. I mean, if you like,

0:42:58.680 --> 0:43:01.560
<v Speaker 3>just Google, get out of time share, there are legal

0:43:01.600 --> 0:43:05.760
<v Speaker 3>companies that specialize in getting you out of time shares

0:43:06.440 --> 0:43:09.920
<v Speaker 3>is yeah, I mean you know this. You know the industry.

0:43:10.400 --> 0:43:14.800
<v Speaker 3>Is your product different than what people know as time shares?

0:43:15.480 --> 0:43:15.920
<v Speaker 3>And why that?

0:43:16.000 --> 0:43:16.760
<v Speaker 9>Yeah?

0:43:16.760 --> 0:43:20.480
<v Speaker 8>Wrap, Look, it's interesting because I can even feel the

0:43:20.680 --> 0:43:24.359
<v Speaker 8>a little bit uncomfortableness of asking the question because it

0:43:24.440 --> 0:43:28.400
<v Speaker 8>has a history that predates the Great Financial Crisis. But

0:43:28.960 --> 0:43:32.160
<v Speaker 8>I think the untold story here and why I love

0:43:32.200 --> 0:43:34.960
<v Speaker 8>coming on shows like yours, beyond it being a great show,

0:43:35.080 --> 0:43:38.920
<v Speaker 8>is that the industry has dramatically changed. Eighty five percent

0:43:38.960 --> 0:43:42.319
<v Speaker 8>of the sales today are by companies that you might

0:43:42.360 --> 0:43:47.280
<v Speaker 8>book your business day, whether it's Marriott, Hilton, Wyndham, Margaritaville,

0:43:47.880 --> 0:43:50.960
<v Speaker 8>Holiday and Disney. All of these are the brands that

0:43:51.000 --> 0:43:53.400
<v Speaker 8>have come to the forefront in the last ten years.

0:43:54.239 --> 0:43:59.680
<v Speaker 8>And the value proposition, the way of vacationing with a

0:43:59.680 --> 0:44:03.000
<v Speaker 8>brand you trust, is not the reputation that it gained

0:44:03.760 --> 0:44:08.040
<v Speaker 8>great financial crisis, where it was independent real estate developers.

0:44:08.080 --> 0:44:10.600
<v Speaker 8>And I would just encourage everyone to do your own

0:44:10.680 --> 0:44:13.640
<v Speaker 8>research about these type of advertisements. There's a lot of

0:44:13.640 --> 0:44:18.600
<v Speaker 8>press out there that's shown some really negative stories about them.

0:44:19.000 --> 0:44:21.160
<v Speaker 8>That's for your people to do their own research. But

0:44:21.239 --> 0:44:24.399
<v Speaker 8>what I will tell you is that our retention rate,

0:44:24.400 --> 0:44:28.280
<v Speaker 8>as I mentioned, ninety eight percent, two thirds buy more.

0:44:28.840 --> 0:44:32.200
<v Speaker 8>And this is now a massively branded industry that it

0:44:32.400 --> 0:44:35.200
<v Speaker 8>wasn't when it gained that reputation you're referring to.

0:44:36.200 --> 0:44:39.600
<v Speaker 1>So what's like the trickiest component of your business? Is

0:44:39.640 --> 0:44:45.000
<v Speaker 1>it properties? Management, labor? I'm just curious.

0:44:45.840 --> 0:44:47.760
<v Speaker 9>Yeah, it's a complicated business.

0:44:47.800 --> 0:44:52.840
<v Speaker 8>We run a sales and marketing business, we run a

0:44:53.040 --> 0:44:54.160
<v Speaker 8>management business.

0:44:54.840 --> 0:44:56.680
<v Speaker 9>We operate the club.

0:44:56.760 --> 0:44:59.040
<v Speaker 8>So that we can get people from one of our

0:44:59.040 --> 0:45:01.160
<v Speaker 8>two hundred and eighty resis orts to another, and we

0:45:01.960 --> 0:45:07.719
<v Speaker 8>access the ABS market three times a year to sell

0:45:07.719 --> 0:45:11.120
<v Speaker 8>our notes and gain cash flow. I think it's the

0:45:11.200 --> 0:45:14.480
<v Speaker 8>management of all of that together when you look at

0:45:14.480 --> 0:45:20.040
<v Speaker 8>our company's performance, the satisfaction of our customer base, and

0:45:20.160 --> 0:45:24.040
<v Speaker 8>the growth of our brands. We've been highly successful and

0:45:24.120 --> 0:45:26.279
<v Speaker 8>shown growth and showed a way to grow, and it's

0:45:26.280 --> 0:45:30.239
<v Speaker 8>shown through in our equity. But it's the experienced leadership

0:45:30.400 --> 0:45:35.480
<v Speaker 8>to combine several very complicated businesses together to make sure

0:45:35.520 --> 0:45:38.560
<v Speaker 8>that it's seamless for the consumer and that we're also

0:45:38.800 --> 0:45:43.359
<v Speaker 8>ultimately fulfilling our mission, which is getting people on great vacations.

0:45:43.360 --> 0:45:46.480
<v Speaker 8>So I would say it's the complexity of the management

0:45:46.560 --> 0:45:49.280
<v Speaker 8>as opposed to an individual component that's.

0:45:49.120 --> 0:45:50.280
<v Speaker 9>Really hard to operate.

0:45:50.800 --> 0:45:53.800
<v Speaker 8>I would just add that one component that has become

0:45:53.840 --> 0:45:58.120
<v Speaker 8>more complex is the development of real estate has become

0:45:58.120 --> 0:46:00.759
<v Speaker 8>a lot more expensive ground ups, so we've moved to

0:46:00.800 --> 0:46:03.320
<v Speaker 8>a conversion strategy and a lot of our new resorts.

0:46:03.960 --> 0:46:05.520
<v Speaker 3>So I want to talk a little bit more about

0:46:05.560 --> 0:46:10.120
<v Speaker 3>the demographics here of your clientele, and certainly you know

0:46:10.160 --> 0:46:14.560
<v Speaker 3>with twenty different brands, it depends on what actual brand

0:46:14.640 --> 0:46:17.839
<v Speaker 3>we're talking about. You did give us some age demographics

0:46:17.840 --> 0:46:20.480
<v Speaker 3>and where people are generationally, but in terms of spend,

0:46:20.760 --> 0:46:22.799
<v Speaker 3>what are they spending? What do you know about where

0:46:23.000 --> 0:46:27.000
<v Speaker 3>you know in terms of their other demographics like household

0:46:27.040 --> 0:46:29.879
<v Speaker 3>net worth and what part of the economy you're able

0:46:29.920 --> 0:46:30.480
<v Speaker 3>to get.

0:46:31.520 --> 0:46:35.200
<v Speaker 8>Right Well, what we find in our product is the

0:46:35.320 --> 0:46:39.799
<v Speaker 8>vast majority, irrespective of the brands, are going to want

0:46:39.800 --> 0:46:42.000
<v Speaker 8>to be in a situation where they want to know

0:46:42.040 --> 0:46:46.040
<v Speaker 8>what they can expect from their vacation and a Margaritaville

0:46:46.360 --> 0:46:48.799
<v Speaker 8>guest is going to want a sand, a drink in

0:46:48.800 --> 0:46:52.319
<v Speaker 8>your hand, that type of lifestyle, Whereas our newest brand,

0:46:52.360 --> 0:46:55.080
<v Speaker 8>Eddie Bauer, these are people that want to hike in

0:46:55.160 --> 0:46:59.040
<v Speaker 8>Zion National Park or get to the great outdoors and

0:46:59.160 --> 0:47:04.080
<v Speaker 8>enjoy a family reunion. Either way are financial demographics or

0:47:04.120 --> 0:47:07.000
<v Speaker 8>what I explained earlier, But what we see as the

0:47:07.040 --> 0:47:10.720
<v Speaker 8>travel trend is people want experiences that match their personal

0:47:10.760 --> 0:47:14.719
<v Speaker 8>lifestyle as opposed to four walls, and then they have

0:47:14.800 --> 0:47:17.480
<v Speaker 8>to go find their experience outside of the resort. So

0:47:17.960 --> 0:47:21.880
<v Speaker 8>that's why we're launching sports illustrated brand Eddie Bauer. We

0:47:22.000 --> 0:47:26.520
<v Speaker 8>have Margaritaville Club Windham you mentioned, we see an opportunity

0:47:26.560 --> 0:47:31.719
<v Speaker 8>to customize your experience inside the resort and outside as

0:47:31.760 --> 0:47:37.399
<v Speaker 8>opposed to over separating the financial demographics. I will say

0:47:37.440 --> 0:47:39.800
<v Speaker 8>one of our big focus is to pull the average

0:47:39.800 --> 0:47:43.680
<v Speaker 8>age down as we launch new brands over the upcoming years.

0:47:44.440 --> 0:47:47.600
<v Speaker 1>You know, it's interesting, like I do, think about how

0:47:47.920 --> 0:47:51.719
<v Speaker 1>consumers relate to a specific brand. I mean that really

0:47:51.719 --> 0:47:55.120
<v Speaker 1>moves the needle, doesn't it, whether it's Sports Illustrated. I'm

0:47:55.160 --> 0:47:57.080
<v Speaker 1>just curious, And how do you guys think about what

0:47:57.239 --> 0:47:59.799
<v Speaker 1>brands you want to affiliate yourselves with?

0:48:01.080 --> 0:48:05.239
<v Speaker 8>Right if if you know, I've I've I have two

0:48:05.680 --> 0:48:11.800
<v Speaker 8>children that are children young men that are at a university.

0:48:12.000 --> 0:48:12.280
<v Speaker 9>Kids.

0:48:12.360 --> 0:48:16.200
<v Speaker 8>Yeah, they really are, they really are. But I'll tell

0:48:16.200 --> 0:48:18.319
<v Speaker 8>you if I were to go go up to ann

0:48:18.440 --> 0:48:20.359
<v Speaker 8>Arbor and I have the option to stay in an

0:48:20.480 --> 0:48:24.000
<v Speaker 8>unbranded hotel with four walls or something that affiliates itself

0:48:24.040 --> 0:48:27.439
<v Speaker 8>closer to the university, there's a natural pull to it.

0:48:28.120 --> 0:48:30.520
<v Speaker 8>And you know, I can apply that. If you're going

0:48:30.600 --> 0:48:32.880
<v Speaker 8>to go to a beach destination, you have a chance.

0:48:32.920 --> 0:48:34.600
<v Speaker 8>And if you're a parent head and you want to

0:48:34.640 --> 0:48:39.440
<v Speaker 8>be in that Margaritaville environment versus a resort that's a

0:48:39.480 --> 0:48:43.400
<v Speaker 8>brand that has thousands of resorts everywhere from the highways

0:48:43.440 --> 0:48:47.080
<v Speaker 8>to the resort destinations. You're going to go to the

0:48:47.160 --> 0:48:50.839
<v Speaker 8>Margaritaville location, and our club Windom has a similar type

0:48:50.880 --> 0:48:54.480
<v Speaker 8>of affiliation. So we just find that people are moving

0:48:54.520 --> 0:48:58.520
<v Speaker 8>more and more to the lifestyle that attracts them, and

0:48:58.960 --> 0:49:02.560
<v Speaker 8>we are therefore developing brands that allow them to just

0:49:02.640 --> 0:49:05.920
<v Speaker 8>do that naturally, to enjoy their lifestyle inside of the

0:49:06.080 --> 0:49:09.880
<v Speaker 8>resort and outside. And it's it's already been received with

0:49:09.920 --> 0:49:12.040
<v Speaker 8>a lot of great reception and we're excited about what

0:49:12.080 --> 0:49:13.120
<v Speaker 8>we can do going forward.

0:49:13.280 --> 0:49:15.319
<v Speaker 3>What's the brand? You have so many different brands. You

0:49:15.320 --> 0:49:19.239
<v Speaker 3>mentioned Marguerite, we talked about wind Eddie Bowers. What what

0:49:19.280 --> 0:49:19.840
<v Speaker 3>are you missing?

0:49:19.920 --> 0:49:24.279
<v Speaker 8>Yes, I think there's a few things that that we

0:49:24.400 --> 0:49:27.680
<v Speaker 8>have to consider. We don't have any anything in the

0:49:27.760 --> 0:49:32.120
<v Speaker 8>luxury space today, what I would say pure luxury. There's

0:49:32.160 --> 0:49:34.720
<v Speaker 8>a lot of opportunities to tie our type of product

0:49:35.360 --> 0:49:36.640
<v Speaker 8>to the crew to.

0:49:37.000 --> 0:49:38.120
<v Speaker 9>Cruise type of companies.

0:49:39.440 --> 0:49:42.640
<v Speaker 8>And then, as is always the case, someone you know,

0:49:43.000 --> 0:49:46.520
<v Speaker 8>uh five years ago would have said, well, Eddie Bauer

0:49:46.600 --> 0:49:50.040
<v Speaker 8>is not a hospitality name, but you immediately put that

0:49:50.160 --> 0:49:51.320
<v Speaker 8>to an outdoor.

0:49:53.560 --> 0:49:54.920
<v Speaker 9>Outdoor living lifestyle.

0:49:55.400 --> 0:49:59.960
<v Speaker 8>And I think our challenge is there's the typical hospitality verticals,

0:50:00.040 --> 0:50:03.920
<v Speaker 8>which would include luxury, but there's also just niche, niche

0:50:04.000 --> 0:50:08.279
<v Speaker 8>lifestyle opportunities that we will look for. But you know,

0:50:08.360 --> 0:50:10.560
<v Speaker 8>if I could just step back a second, the key

0:50:10.600 --> 0:50:13.760
<v Speaker 8>to our success is whatever we do, we execute against

0:50:13.800 --> 0:50:16.320
<v Speaker 8>it and we deliver on what we promised the street,

0:50:17.080 --> 0:50:19.840
<v Speaker 8>and that success allows us more and more access to

0:50:19.880 --> 0:50:22.000
<v Speaker 8>more and more brands. So I would expect that to

0:50:22.239 --> 0:50:24.960
<v Speaker 8>allow us to move into these spaces that we currently

0:50:25.000 --> 0:50:25.400
<v Speaker 8>aren't in.

0:50:25.719 --> 0:50:29.719
<v Speaker 1>Well, I'd love to be sitting at Margaritaville Vacation, a

0:50:30.440 --> 0:50:32.719
<v Speaker 1>Margarita vacation club with the Margarita in my hand. But

0:50:32.760 --> 0:50:37.560
<v Speaker 1>having said that, before we go, Mike, any signs of stress,

0:50:38.000 --> 0:50:44.560
<v Speaker 1>any signs of you know, economic you know, concerns as

0:50:44.600 --> 0:50:46.359
<v Speaker 1>you look at your business, or maybe what it tells

0:50:46.360 --> 0:50:48.040
<v Speaker 1>you about the outlook here.

0:50:49.040 --> 0:50:52.640
<v Speaker 8>Well, I would say my personal sentiment and what I'm

0:50:52.640 --> 0:50:54.880
<v Speaker 8>seeing in our business is very similar to it was

0:50:55.200 --> 0:50:58.319
<v Speaker 8>thirty days ago, which was there's still uncertainty out there,

0:50:58.360 --> 0:51:02.560
<v Speaker 8>which causes us to be looking intently every day with

0:51:02.719 --> 0:51:07.919
<v Speaker 8>any metric internally that would signal the economies.

0:51:07.360 --> 0:51:08.520
<v Speaker 9>Going one way, or the other.

0:51:09.360 --> 0:51:11.719
<v Speaker 8>Thirty days on from our earnings call, I would say

0:51:11.719 --> 0:51:14.680
<v Speaker 8>that our performance and our outlook on the economy looks

0:51:14.960 --> 0:51:17.480
<v Speaker 8>very similar than it did at the end of October

0:51:17.520 --> 0:51:22.040
<v Speaker 8>when we reported our leisure travel demand is looking good

0:51:22.040 --> 0:51:28.000
<v Speaker 8>for Q four. With the sound that the shutdown is

0:51:28.080 --> 0:51:30.120
<v Speaker 8>coming to an end, I was starting to worry that

0:51:30.360 --> 0:51:33.239
<v Speaker 8>we might start to see changes in behavior between air

0:51:33.320 --> 0:51:34.440
<v Speaker 8>and drive to traffic.

0:51:34.560 --> 0:51:37.960
<v Speaker 3>Are you seeing that at all? Just very briefly, we.

0:51:37.960 --> 0:51:40.880
<v Speaker 8>Have not, And in fact, it looks like our twenty

0:51:40.920 --> 0:51:43.720
<v Speaker 8>five bookings here in Q four are at or slightly

0:51:43.760 --> 0:51:46.759
<v Speaker 8>above where they were last year, and we haven't seen

0:51:46.800 --> 0:51:50.040
<v Speaker 8>a dramatic change. We've seen ever so slightly that changed

0:51:50.040 --> 0:51:53.319
<v Speaker 8>from fly to drive to but I'm really confident that

0:51:53.400 --> 0:51:56.680
<v Speaker 8>it hadn't gone on another week or two into the

0:51:56.719 --> 0:51:59.799
<v Speaker 8>Thanksgiving season, we would have saw a noticeable shift of

0:52:00.120 --> 0:52:02.799
<v Speaker 8>people in New York saying, look, let me just get

0:52:02.800 --> 0:52:06.360
<v Speaker 8>to a drive to destination as opposed to flying to Orlando.

0:52:06.440 --> 0:52:07.960
<v Speaker 8>I don't want to deal with the hassle with my

0:52:08.040 --> 0:52:12.440
<v Speaker 8>free time. Fortunately, it looks as if we will avoid that.

0:52:13.040 --> 0:52:15.760
<v Speaker 8>But at this point we have not seen an indication

0:52:15.880 --> 0:52:18.719
<v Speaker 8>that that has caused changing leisure Travel.

0:52:18.480 --> 0:52:21.640
<v Speaker 1>Mike Brown, President CEO of Travel and Leisure Company, joining

0:52:21.760 --> 0:52:23.600
<v Speaker 1>us from Orlando.

0:52:28.040 --> 0:52:32.040
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily podcast. Catch US

0:52:32.120 --> 0:52:35.560
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:52:35.600 --> 0:52:39.160
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:52:39.320 --> 0:52:41.120
<v Speaker 2>or watch US Live on YouTube.

0:52:41.960 --> 0:52:44.400
<v Speaker 1>US consumer confidence led in November by the most in

0:52:44.520 --> 0:52:47.560
<v Speaker 1>seven months, on growing anxiety about the labor market and

0:52:47.880 --> 0:52:48.960
<v Speaker 1>the US economy.

0:52:49.200 --> 0:52:49.359
<v Speaker 3>Now.

0:52:49.480 --> 0:52:53.240
<v Speaker 1>Survey by the Conference Board, released this past Tuesday also

0:52:53.360 --> 0:52:56.840
<v Speaker 1>found that confidence fell across nearly all income levels after

0:52:56.920 --> 0:52:58.080
<v Speaker 1>several months of increasing.

0:52:58.160 --> 0:53:01.120
<v Speaker 3>For most groups, A gauge of expectations for the next

0:53:01.160 --> 0:53:04.200
<v Speaker 3>six months declined to the lowest level since April, while

0:53:04.239 --> 0:53:06.719
<v Speaker 3>measures of present conditions slumped to ing more than one

0:53:06.800 --> 0:53:11.080
<v Speaker 3>year low. The ongoing slide in consumer sentiment reflects lingering

0:53:11.120 --> 0:53:14.560
<v Speaker 3>concerns about the impact of persistently high prices and a

0:53:14.600 --> 0:53:18.000
<v Speaker 3>cooling labor market on Americans finances as well as the

0:53:18.000 --> 0:53:18.880
<v Speaker 3>broader economy.

0:53:19.040 --> 0:53:21.720
<v Speaker 1>The health of the US consumer is something we always

0:53:21.719 --> 0:53:24.640
<v Speaker 1>focus on. With Christina Stembel, she's the founder and CEO

0:53:24.640 --> 0:53:26.839
<v Speaker 1>of farm Girl Flowers. We've been talking to her for

0:53:26.920 --> 0:53:30.239
<v Speaker 1>several years now that firm by the way she bootstrapped

0:53:30.400 --> 0:53:33.200
<v Speaker 1>starting back in twenty ten making bouquets from her San

0:53:33.239 --> 0:53:36.160
<v Speaker 1>Francisco apartment. I got to say, it's come a long way.

0:53:36.320 --> 0:53:38.239
<v Speaker 10>It's the first year that we're actually seeing any growth

0:53:38.239 --> 0:53:41.400
<v Speaker 10>since twenty twenty, but very small a couple of points,

0:53:41.800 --> 0:53:44.720
<v Speaker 10>and that's very intentional. We're really focused on the bottom line,

0:53:45.440 --> 0:53:47.200
<v Speaker 10>you know, we want to make sure all these companies

0:53:47.239 --> 0:53:49.000
<v Speaker 10>are doing layoffs. I want to make sure we're not that.

0:53:49.280 --> 0:53:50.879
<v Speaker 10>You know, we're actually we have I don't know, ten

0:53:51.000 --> 0:53:53.520
<v Speaker 10>or twelve open positions right now, which for a company

0:53:53.560 --> 0:53:54.279
<v Speaker 10>our size.

0:53:54.080 --> 0:53:54.640
<v Speaker 11>Is a lot.

0:53:54.719 --> 0:53:57.040
<v Speaker 10>So we're just growing at a clip that we can

0:53:57.080 --> 0:54:00.960
<v Speaker 10>do while maintaining our profit margins. Is the opening We're

0:54:01.000 --> 0:54:04.279
<v Speaker 10>about thirty five million, you know, plus a little bit.

0:54:04.320 --> 0:54:07.759
<v Speaker 11>But yeah, and how many people right under thirty.

0:54:07.719 --> 0:54:10.200
<v Speaker 3>So you have like a third of your positions are

0:54:10.200 --> 0:54:12.600
<v Speaker 3>open right now. Basically, are you having trouble finding those.

0:54:12.440 --> 0:54:14.040
<v Speaker 11>Employees or just going slow?

0:54:14.120 --> 0:54:15.880
<v Speaker 10>We're looking for the right people. So we have a

0:54:15.880 --> 0:54:17.680
<v Speaker 10>lot of applicants, but we're just making sure we're bringing

0:54:17.680 --> 0:54:20.359
<v Speaker 10>the right people. Yeah, I think I've learned that having

0:54:20.360 --> 0:54:23.320
<v Speaker 10>the wrong people is actually worse than just not having anyone.

0:54:23.680 --> 0:54:25.400
<v Speaker 11>So that's a lesson, it's.

0:54:25.440 --> 0:54:28.200
<v Speaker 1>It is a good lesson. So in terms of fifteen years,

0:54:28.239 --> 0:54:30.560
<v Speaker 1>tell us about like how you look back at the

0:54:30.560 --> 0:54:32.240
<v Speaker 1>beginning and where you were in some of the stages

0:54:32.280 --> 0:54:34.320
<v Speaker 1>you've gone through, and then where you are today. Yeah.

0:54:34.640 --> 0:54:37.000
<v Speaker 10>I just sat down and wrote, like, you know, fifteen

0:54:37.080 --> 0:54:39.719
<v Speaker 10>lessons in fifteen years. You know, I might share them

0:54:39.760 --> 0:54:41.000
<v Speaker 10>at the end of the year. I was just trying

0:54:41.000 --> 0:54:42.839
<v Speaker 10>to think about, like, you know, where I'm at now

0:54:42.960 --> 0:54:45.680
<v Speaker 10>versus you know, I feel much healthier right now personally

0:54:45.719 --> 0:54:47.200
<v Speaker 10>and professionally.

0:54:47.040 --> 0:54:48.359
<v Speaker 11>And like why do I feel that way?

0:54:48.360 --> 0:54:50.520
<v Speaker 10>And I think the biggest lesson that I had written

0:54:50.560 --> 0:54:53.600
<v Speaker 10>down was that nothing is as it seems like when

0:54:53.600 --> 0:54:56.719
<v Speaker 10>I started, I wanted that founder story in Silicon Valley,

0:54:56.760 --> 0:54:58.720
<v Speaker 10>I started in San Francisco. I wanted to be the

0:54:58.880 --> 0:55:01.440
<v Speaker 10>cover of Ink or ch one of the big magazines,

0:55:01.480 --> 0:55:03.440
<v Speaker 10>and you know where everybody was like she did it?

0:55:03.520 --> 0:55:05.040
<v Speaker 10>Look at that, you know, and it was like all

0:55:05.040 --> 0:55:07.640
<v Speaker 10>my ego. I finally realized it was my ego. And

0:55:07.680 --> 0:55:10.080
<v Speaker 10>we grew really really fast, and that like played into

0:55:10.080 --> 0:55:12.760
<v Speaker 10>my ego and I felt like that was my entire identity,

0:55:12.840 --> 0:55:14.480
<v Speaker 10>was that you know, all the press we were getting

0:55:14.440 --> 0:55:17.000
<v Speaker 10>in with our you know, fast growth, and yet twenty nineteen,

0:55:17.000 --> 0:55:18.920
<v Speaker 10>we did thirty four million in revenue and I did

0:55:18.920 --> 0:55:22.040
<v Speaker 10>thirty six thousand in profit and I paid myself sixty

0:55:22.080 --> 0:55:22.760
<v Speaker 10>thousand dollars.

0:55:23.239 --> 0:55:24.680
<v Speaker 11>Like this is not a success story.

0:55:24.920 --> 0:55:27.239
<v Speaker 10>But the outward you know, outward rule thought I was

0:55:27.280 --> 0:55:29.839
<v Speaker 10>like so successful, and I'm like, I'm barely scraping by

0:55:29.880 --> 0:55:33.360
<v Speaker 10>eating ramen. You know, so I think, you know, really

0:55:33.360 --> 0:55:35.280
<v Speaker 10>figuring out that you know, I needed to be smaller,

0:55:35.320 --> 0:55:37.880
<v Speaker 10>like we talked about before, you know, and focusing on

0:55:37.960 --> 0:55:41.480
<v Speaker 10>profit margin being a smaller company doesn't feed your ego anymore.

0:55:41.800 --> 0:55:44.680
<v Speaker 10>But I finally figured out that, like everything I thought

0:55:44.800 --> 0:55:47.960
<v Speaker 10>the business world was isn't like all these sales, all

0:55:47.960 --> 0:55:50.680
<v Speaker 10>these like glossy pictures of people that made it. I'm like, yeah,

0:55:50.680 --> 0:55:52.520
<v Speaker 10>it was like a fire sale most of the time.

0:55:52.560 --> 0:55:54.239
<v Speaker 10>And it was like all these people I wanted to

0:55:54.280 --> 0:55:56.560
<v Speaker 10>be that are the girl bosses that made it. I'm like,

0:55:56.840 --> 0:55:59.120
<v Speaker 10>they don't own their companies anymore, and they're you know.

0:55:59.120 --> 0:56:01.879
<v Speaker 1>Well yeah, And it's you know, it's interesting because we've

0:56:01.880 --> 0:56:04.200
<v Speaker 1>talked a lot, and I'm sure like through your head

0:56:04.600 --> 0:56:07.279
<v Speaker 1>you went through some journeys about like where do I

0:56:07.320 --> 0:56:09.480
<v Speaker 1>want to go. Do I want to keep doing this?

0:56:09.640 --> 0:56:11.759
<v Speaker 1>Do I want to bring in partners? Do I want

0:56:11.800 --> 0:56:13.919
<v Speaker 1>to do whatever? You know what I mean? And I'm

0:56:13.960 --> 0:56:15.799
<v Speaker 1>just curious, you know, Tim, Like I think about all

0:56:15.800 --> 0:56:18.399
<v Speaker 1>the folks that kind of think about that kind of thing.

0:56:18.760 --> 0:56:19.799
<v Speaker 1>Did you go through some of that?

0:56:20.000 --> 0:56:20.520
<v Speaker 11>Absolutely?

0:56:20.560 --> 0:56:22.600
<v Speaker 10>I mean I built this to sell, Like I wanted

0:56:22.600 --> 0:56:24.279
<v Speaker 10>to sell it in ten years. I mean, how many

0:56:24.320 --> 0:56:26.200
<v Speaker 10>years can you work one hundred hours a week.

0:56:26.000 --> 0:56:26.560
<v Speaker 11>And not die?

0:56:26.680 --> 0:56:26.880
<v Speaker 10>You know?

0:56:27.239 --> 0:56:28.719
<v Speaker 11>So I wanted to sell it so bad.

0:56:28.840 --> 0:56:31.360
<v Speaker 1>That's hard and the reality.

0:56:31.000 --> 0:56:32.839
<v Speaker 10>Right really, and then we got an offer from one

0:56:32.880 --> 0:56:35.319
<v Speaker 10>of our big competitors, like this big company, and I thought, yes,

0:56:35.320 --> 0:56:37.240
<v Speaker 10>we're going to make it, and it was a horrible offer.

0:56:37.640 --> 0:56:40.359
<v Speaker 10>And so now I'm building to keep in building to sell,

0:56:40.400 --> 0:56:42.399
<v Speaker 10>and it's a completely different thing. Like we're making, we're

0:56:42.400 --> 0:56:45.279
<v Speaker 10>investing in, you know, things for five years from now.

0:56:45.320 --> 0:56:47.360
<v Speaker 3>You're able to build to keep rather than build to

0:56:47.400 --> 0:56:49.520
<v Speaker 3>sell because you built this company yourself and you didn't

0:56:49.520 --> 0:56:52.280
<v Speaker 3>take on any financing, any funding, which is so strange

0:56:52.280 --> 0:56:54.200
<v Speaker 3>for a startup that was built in Silicon Valley.

0:56:54.520 --> 0:56:58.080
<v Speaker 10>Absolutely. Absolutely, you know, I'm very fortunate. I'm in a

0:56:58.160 --> 0:57:00.720
<v Speaker 10>CEO group with lots of CEOs that you know, are

0:57:00.719 --> 0:57:02.600
<v Speaker 10>constantly telling me how lucky I am, even though I

0:57:02.600 --> 0:57:05.360
<v Speaker 10>have never felt lucky in this because I don't go

0:57:05.400 --> 0:57:07.239
<v Speaker 10>into every board meeting being where I'm going to be

0:57:07.239 --> 0:57:08.919
<v Speaker 10>fired right now because there's the boss.

0:57:09.000 --> 0:57:09.680
<v Speaker 11>Yeah, I'm the boss.

0:57:09.719 --> 0:57:11.399
<v Speaker 10>I'm like, you know, we just you know, we bought

0:57:11.400 --> 0:57:13.520
<v Speaker 10>a farm. You know, nobody, no investors would ever let

0:57:13.520 --> 0:57:15.879
<v Speaker 10>you buy a farm. We you know, are farming. Now

0:57:15.880 --> 0:57:16.720
<v Speaker 10>that's a lot term.

0:57:16.920 --> 0:57:18.440
<v Speaker 3>Well, I was gonna say, last time you're on with us.

0:57:18.440 --> 0:57:19.720
<v Speaker 3>We're going to get to the consumer in a second,

0:57:19.720 --> 0:57:20.919
<v Speaker 3>but last time you we're on with us, we talked

0:57:20.920 --> 0:57:23.120
<v Speaker 3>about two things that that really stuck out. One was

0:57:23.160 --> 0:57:25.120
<v Speaker 3>the effect of tariffs. Did you buy a farm to

0:57:25.160 --> 0:57:26.400
<v Speaker 3>offset the effective terraffs?

0:57:26.400 --> 0:57:26.440
<v Speaker 1>No?

0:57:26.640 --> 0:57:28.600
<v Speaker 10>Absolutely not, but it's going to help us, it is.

0:57:28.840 --> 0:57:31.760
<v Speaker 10>I mean, we bought the farm because we're like, let's

0:57:31.840 --> 0:57:34.000
<v Speaker 10>let's do this because it's hard to get this type

0:57:34.000 --> 0:57:36.160
<v Speaker 10>of flower at this time of year where we think

0:57:36.160 --> 0:57:38.520
<v Speaker 10>we can get it where where we're at. We also

0:57:38.560 --> 0:57:41.320
<v Speaker 10>built it because we're like, we're farm real flowers, Like

0:57:41.640 --> 0:57:44.160
<v Speaker 10>let's actually we have ahouldn't we have a farm and

0:57:44.200 --> 0:57:44.400
<v Speaker 10>do that?

0:57:44.480 --> 0:57:44.680
<v Speaker 1>You know?

0:57:44.920 --> 0:57:47.040
<v Speaker 10>But I mean that we're we're investing in you know,

0:57:47.080 --> 0:57:49.520
<v Speaker 10>we do think long term, this spertical integration will allow

0:57:49.600 --> 0:57:50.960
<v Speaker 10>us to keep a couple of million dollars more in

0:57:51.000 --> 0:57:51.880
<v Speaker 10>our pockets every year.

0:57:52.000 --> 0:57:54.600
<v Speaker 1>Wow. Yeah, it's like you gave us such an education.

0:57:54.680 --> 0:57:56.480
<v Speaker 1>I think about where flowers come from, and I think

0:57:56.520 --> 0:57:58.320
<v Speaker 1>there's just as a subtion we go buy flowers. I

0:57:58.320 --> 0:57:59.960
<v Speaker 1>don't know whether we thought they were all in the

0:58:00.640 --> 0:58:02.520
<v Speaker 1>and there wasn't right, so much of the flowers.

0:58:03.240 --> 0:58:04.080
<v Speaker 3>Where's the farm south?

0:58:04.280 --> 0:58:06.880
<v Speaker 10>Well, the oregan We bought the farm in Washington, so

0:58:06.880 --> 0:58:08.520
<v Speaker 10>we have a small farm in Washington. We also put

0:58:08.520 --> 0:58:11.040
<v Speaker 10>in about forty thousand plants in Oregon last year as well.

0:58:11.640 --> 0:58:15.960
<v Speaker 3>And will you be able to cultivate those flowers yearly

0:58:16.720 --> 0:58:17.440
<v Speaker 3>like throughout the year.

0:58:17.600 --> 0:58:20.600
<v Speaker 10>It takes three years for your first harvest. So again

0:58:20.640 --> 0:58:22.520
<v Speaker 10>that's why investors would never let you put the money

0:58:22.520 --> 0:58:22.840
<v Speaker 10>into it.

0:58:22.880 --> 0:58:25.560
<v Speaker 3>Now and the flowers that you produce at those farms

0:58:25.680 --> 0:58:27.400
<v Speaker 3>on that land only go to you or do you

0:58:27.400 --> 0:58:28.040
<v Speaker 3>sell them to others?

0:58:28.080 --> 0:58:30.320
<v Speaker 10>Yeah, we'll keep it, you know right now, the amount

0:58:30.360 --> 0:58:32.960
<v Speaker 10>that we're growing, we can we can use that every year.

0:58:33.000 --> 0:58:35.600
<v Speaker 10>If we decide to keep going, then we can wholesale it.

0:58:35.600 --> 0:58:36.960
<v Speaker 10>It's another revenue chain for us.

0:58:37.000 --> 0:58:39.360
<v Speaker 3>What percentage of the flowers that are grown there? Like,

0:58:39.440 --> 0:58:41.880
<v Speaker 3>does that satisfy of the flowers that you use in it?

0:58:42.960 --> 0:58:43.680
<v Speaker 11>A couple percent?

0:58:43.840 --> 0:58:47.400
<v Speaker 3>Okay, so still it's still yeah really, but you would

0:58:47.440 --> 0:58:48.680
<v Speaker 3>never get you would never be able to get to

0:58:48.680 --> 0:58:51.040
<v Speaker 3>the point because of the global supply chain where you

0:58:51.080 --> 0:58:53.160
<v Speaker 3>could actually grow all the flowers you would want.

0:58:53.200 --> 0:58:54.920
<v Speaker 10>Never and we don't want to. It's too much of

0:58:54.960 --> 0:58:57.560
<v Speaker 10>a risk, you know. I learned through COVID that I

0:58:57.800 --> 0:59:00.600
<v Speaker 10>definitely need to diversify more than I have. I mean,

0:59:00.760 --> 0:59:03.600
<v Speaker 10>having our facility that made ninety two percent of our

0:59:03.880 --> 0:59:07.560
<v Speaker 10>bouquets closed down in one day in twenty Twentymber. You yeah,

0:59:07.640 --> 0:59:10.280
<v Speaker 10>taught me that that wasn't very smart. Definitely making sure

0:59:10.320 --> 0:59:11.320
<v Speaker 10>we're diverse by now talk.

0:59:11.200 --> 0:59:13.280
<v Speaker 1>To us about tariffs in the environment, Like, I just think,

0:59:13.600 --> 0:59:14.280
<v Speaker 1>what again?

0:59:14.440 --> 0:59:14.640
<v Speaker 9>Why?

0:59:14.680 --> 0:59:17.000
<v Speaker 1>We love many reasons we love talking to you, but

0:59:17.040 --> 0:59:19.480
<v Speaker 1>you really give us an idea of what it's like

0:59:19.520 --> 0:59:21.400
<v Speaker 1>to run a small business, although you've made it a

0:59:21.400 --> 0:59:25.160
<v Speaker 1>bigger business over the years. But stuff coming out of

0:59:25.280 --> 0:59:28.120
<v Speaker 1>Washington tariffs, how has that changed? Has it gotten any

0:59:28.160 --> 0:59:29.400
<v Speaker 1>easier yet? No?

0:59:30.200 --> 0:59:33.480
<v Speaker 10>We change, you know, and it actually hurts the consumers more.

0:59:33.520 --> 0:59:36.240
<v Speaker 10>I mean, you know, because you raise prices, we raise prices,

0:59:36.320 --> 0:59:38.640
<v Speaker 10>or we have to buy off the shelf instead of

0:59:38.640 --> 0:59:40.760
<v Speaker 10>making custom things that are nicer for them.

0:59:40.800 --> 0:59:41.720
<v Speaker 11>We have to do things like that.

0:59:41.720 --> 0:59:43.840
<v Speaker 10>We have to make concessions because we don't want to

0:59:43.840 --> 0:59:45.720
<v Speaker 10>price ourselves out of the market. Yeah, you know, we

0:59:45.720 --> 0:59:47.760
<v Speaker 10>have to use different flowers even though they're not the

0:59:47.760 --> 0:59:50.680
<v Speaker 10>ones that consumers want. You know, there are things like that.

0:59:50.680 --> 0:59:51.920
<v Speaker 1>Way, hey, when floorers do that.

0:59:52.160 --> 0:59:54.920
<v Speaker 11>Yeah, yeah, exactly, Like it's not what we want to do.

0:59:55.200 --> 0:59:55.320
<v Speaker 4>Right.

0:59:55.440 --> 0:59:58.360
<v Speaker 10>Also, I think we're the poster child for having tried

0:59:58.800 --> 1:00:01.960
<v Speaker 10>to do this, like May in America grown in America.

1:00:02.040 --> 1:00:04.720
<v Speaker 10>Like when we started, I only bought American grown flowers, right,

1:00:04.760 --> 1:00:07.280
<v Speaker 10>and we ran out of flowers in twenty seventeen, just

1:00:07.360 --> 1:00:09.520
<v Speaker 10>ran out. Now there's fewer farms than there were in

1:00:09.600 --> 1:00:14.440
<v Speaker 10>twenty seventeen because labor's so high now with immigration issues,

1:00:14.520 --> 1:00:16.880
<v Speaker 10>I mean there is. I mean I just came a

1:00:16.960 --> 1:00:18.960
<v Speaker 10>couple of weeks ago. I was just down in our

1:00:19.040 --> 1:00:21.280
<v Speaker 10>fields and we were just getting it ready for winter.

1:00:21.720 --> 1:00:25.000
<v Speaker 10>I couldn't walk for three days after doing one week

1:00:25.040 --> 1:00:27.920
<v Speaker 10>of work in the fields. Like, there are not people

1:00:28.000 --> 1:00:30.200
<v Speaker 10>here that are wanting.

1:00:29.960 --> 1:00:31.800
<v Speaker 11>To be farm workers. Let me just say, so, what

1:00:31.800 --> 1:00:32.160
<v Speaker 11>would you.

1:00:32.160 --> 1:00:34.560
<v Speaker 1>Say to folks who are like, no, pushing back an

1:00:34.600 --> 1:00:37.320
<v Speaker 1>immigration it makes sense, like we have to be doing this.

1:00:38.000 --> 1:00:40.960
<v Speaker 1>What would you say to folks who are listening or

1:00:41.000 --> 1:00:41.720
<v Speaker 1>watching right now?

1:00:41.800 --> 1:00:45.520
<v Speaker 10>I think that ship has sailed generations ago. There is

1:00:45.560 --> 1:00:47.520
<v Speaker 10>no way, Like you know, we tried to buy American

1:00:47.560 --> 1:00:50.280
<v Speaker 10>grown it wasn't possible. We're not going to bring farming

1:00:50.400 --> 1:00:52.920
<v Speaker 10>back to this country unless we do something about immigration.

1:00:53.240 --> 1:00:56.080
<v Speaker 10>There are too many ripple effects going on with why

1:00:56.120 --> 1:00:59.960
<v Speaker 10>it won't work. Also, having production facilities of making bouquet

1:01:00.280 --> 1:01:02.560
<v Speaker 10>in the United States, we do. We make about fifty

1:01:02.600 --> 1:01:04.480
<v Speaker 10>percent in the United States and fifty percent outside of

1:01:04.520 --> 1:01:06.880
<v Speaker 10>the United States. Can I ask you we're outside South

1:01:06.920 --> 1:01:09.880
<v Speaker 10>America South and most of them are in the United States,

1:01:09.920 --> 1:01:12.200
<v Speaker 10>but the flowers are coming from South America. You have

1:01:12.240 --> 1:01:14.560
<v Speaker 10>a few in South Amarket that are making bookuts as well.

1:01:15.000 --> 1:01:18.240
<v Speaker 10>And you know, it's it doesn't work like you know

1:01:18.280 --> 1:01:20.680
<v Speaker 10>I think. You know, Ford Motor Company is a good

1:01:20.680 --> 1:01:22.840
<v Speaker 10>example of this when they're talking about open jobs or

1:01:23.160 --> 1:01:24.760
<v Speaker 10>you know, I talked to a guy that has an

1:01:24.760 --> 1:01:27.720
<v Speaker 10>engine rebuilding plant in the Midwest that had forty percent

1:01:27.760 --> 1:01:28.560
<v Speaker 10>open positions.

1:01:28.640 --> 1:01:29.680
<v Speaker 3>We just don't have those people.

1:01:30.840 --> 1:01:32.600
<v Speaker 10>Yeah, you know, we're telling people go to college so

1:01:32.640 --> 1:01:34.480
<v Speaker 10>you don't have to work a factory job. Nobody wants

1:01:34.480 --> 1:01:35.240
<v Speaker 10>to work a factory job.

1:01:35.240 --> 1:01:36.160
<v Speaker 1>You also have an aging.

1:01:35.960 --> 1:01:40.840
<v Speaker 3>Population, right, So we talked about terrorists, we talked about farming.

1:01:41.440 --> 1:01:45.080
<v Speaker 3>We talked quite a bit about your story to the

1:01:45.080 --> 1:01:48.480
<v Speaker 3>consumer and the American consumer. How's the consumer in your view?

1:01:48.840 --> 1:01:52.120
<v Speaker 10>The consumer is definitely shifted. I think just like what

1:01:52.160 --> 1:01:55.000
<v Speaker 10>you were talking about, you know, people right now, it's

1:01:55.040 --> 1:01:57.800
<v Speaker 10>a little concerning with the economy where you know, people

1:01:57.800 --> 1:02:00.360
<v Speaker 10>are still spending a lot of money, but people that

1:02:00.400 --> 1:02:03.040
<v Speaker 10>can't spend a lot of money can't buy. Yeah, so

1:02:03.320 --> 1:02:05.400
<v Speaker 10>you know, it's not the company I want to be

1:02:05.440 --> 1:02:08.480
<v Speaker 10>where I'm only appealing to one type of consumer. So

1:02:08.480 --> 1:02:11.120
<v Speaker 10>we're really trying to make sure that we're not doing that.

1:02:11.400 --> 1:02:15.200
<v Speaker 10>But with tariffs and rising prices and everything that, you know,

1:02:15.240 --> 1:02:16.640
<v Speaker 10>put kind of backsh you in a corner.

1:02:16.760 --> 1:02:17.240
<v Speaker 12>What do you do?

1:02:17.320 --> 1:02:18.800
<v Speaker 10>You know, I don't want every boquet to cost one

1:02:18.840 --> 1:02:20.680
<v Speaker 10>hundred and fifty dollars because the only people can afford

1:02:20.680 --> 1:02:22.480
<v Speaker 10>one hundred fifty dollar bocke to send to the restaurant

1:02:22.520 --> 1:02:24.680
<v Speaker 10>for their birthday you know. So we're looking at it and.

1:02:24.600 --> 1:02:26.800
<v Speaker 1>It's a consumer like I know, I definitely cut back.

1:02:26.840 --> 1:02:28.919
<v Speaker 1>It's like you can't do as much as you would

1:02:28.960 --> 1:02:29.160
<v Speaker 1>like to.

1:02:29.400 --> 1:02:31.520
<v Speaker 10>Absolutely, we're in the gifting space, so you just cut

1:02:31.560 --> 1:02:33.720
<v Speaker 10>gifts out and we don't want that. So we're looking

1:02:33.760 --> 1:02:35.200
<v Speaker 10>at trying to find ways to get closer to the

1:02:35.240 --> 1:02:37.200
<v Speaker 10>end consumer so we can cut it and shipping instead

1:02:37.200 --> 1:02:38.840
<v Speaker 10>of the flower cost and things like that, that we

1:02:38.840 --> 1:02:41.040
<v Speaker 10>can be a little bit creative with wreaths.

1:02:41.760 --> 1:02:43.520
<v Speaker 1>How big, Like do you do a lot of wreaths?

1:02:44.040 --> 1:02:45.560
<v Speaker 10>We wish we could do more. We sell out of

1:02:45.600 --> 1:02:47.640
<v Speaker 10>them all the time. We're working with a lot of

1:02:48.280 --> 1:02:52.360
<v Speaker 10>new producers. They're high labor, really high labor. Yeah, so

1:02:52.560 --> 1:02:54.720
<v Speaker 10>we are constantly looking at We work with small farms

1:02:54.960 --> 1:02:57.360
<v Speaker 10>on our wreath making program, so very proud of that

1:02:57.560 --> 1:02:58.920
<v Speaker 10>and trying to get more for us.

1:02:59.080 --> 1:03:00.520
<v Speaker 1>I love I would everything.

1:03:00.600 --> 1:03:01.400
<v Speaker 3>It smells really good.

1:03:01.400 --> 1:03:03.080
<v Speaker 1>It does not really get you booked into the studio.

1:03:03.760 --> 1:03:06.080
<v Speaker 1>If you had to do a word to describe the outlook,

1:03:06.880 --> 1:03:07.919
<v Speaker 1>how do you see it right now?

1:03:08.880 --> 1:03:09.840
<v Speaker 11>Bleak but hopeful?

1:03:10.320 --> 1:03:14.480
<v Speaker 1>Wow wow yeah yeah I think And this is with

1:03:14.560 --> 1:03:18.439
<v Speaker 1>somebody who's got business going job openings.

1:03:18.000 --> 1:03:18.880
<v Speaker 11>Yeah wow.

1:03:19.080 --> 1:03:21.800
<v Speaker 3>In terms of the context of last fifteen years apart

1:03:21.840 --> 1:03:23.880
<v Speaker 3>from COVID, whereas it like what year are we in

1:03:24.040 --> 1:03:24.600
<v Speaker 3>ten seconds?

1:03:24.640 --> 1:03:25.919
<v Speaker 11>Fifteen bleak?

1:03:25.960 --> 1:03:27.720
<v Speaker 10>I would just say because of personally how I feel

1:03:27.720 --> 1:03:30.560
<v Speaker 10>about what's going okay, but like we're doing okay, so

1:03:30.600 --> 1:03:33.200
<v Speaker 10>I'm hopeful that we're going to make some change.

1:03:33.240 --> 1:03:35.080
<v Speaker 11>And you bought a farm, Yeah, got a farm.

1:03:35.160 --> 1:03:36.480
<v Speaker 1>I love that. I want to be able to say

1:03:36.480 --> 1:03:39.120
<v Speaker 1>we bought a farm. Christina Stanbel, founder and CEO farm

1:03:39.240 --> 1:03:41.960
<v Speaker 1>Girl Flowers always makes us feel good. This is Bloomberg.

1:03:43.520 --> 1:03:47.360
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

1:03:47.440 --> 1:03:50.400
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

1:03:50.440 --> 1:03:53.400
<v Speaker 2>Play and Android Auto with the Bloomberg Business App. You

1:03:53.440 --> 1:03:56.640
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

1:03:56.680 --> 1:03:59.840
<v Speaker 2>New York station Just Say Alexa played Bloomberg eleventh.

1:04:01.880 --> 1:04:03.720
<v Speaker 1>All right, we've got something fun to talk about.

1:04:03.800 --> 1:04:06.040
<v Speaker 3>Well, Bloomberg Intelligence team is out with a really interesting

1:04:06.040 --> 1:04:08.640
<v Speaker 3>note that could add to the woes facing the spirits industry.

1:04:08.720 --> 1:04:09.680
<v Speaker 1>Oh so not so fun.

1:04:09.960 --> 1:04:13.920
<v Speaker 3>Well, use, yeah, maybe not. Use of weight loss drugs

1:04:13.920 --> 1:04:16.040
<v Speaker 3>stand a deep in alcohol's demand slump in the US

1:04:16.040 --> 1:04:19.840
<v Speaker 3>and Europe as moderation and wellness gains trends gained grounds.

1:04:19.840 --> 1:04:22.320
<v Speaker 3>So by twenty thirty five, consumption of beer and spirits

1:04:22.880 --> 1:04:25.720
<v Speaker 3>is expected to drop twenty point three percent and nineteen

1:04:25.760 --> 1:04:30.440
<v Speaker 3>point two percent, respectively among GLP one users. That's here

1:04:30.480 --> 1:04:33.760
<v Speaker 3>in the US. This according to an analysis from Bloomberg Intelligence.

1:04:33.960 --> 1:04:37.760
<v Speaker 1>Yeah, total losses could reach twenty eight point five billion,

1:04:37.760 --> 1:04:40.200
<v Speaker 1>translates to about a three to four percent sales drag

1:04:40.320 --> 1:04:43.560
<v Speaker 1>in the US and two to three percent in Europe.

1:04:43.560 --> 1:04:47.200
<v Speaker 1>There's that going on. The whole alcohol industry globally has

1:04:47.200 --> 1:04:49.360
<v Speaker 1>had to deal with tariffs coming out of the United States.

1:04:49.480 --> 1:04:53.200
<v Speaker 1>So that's going on, and so we'll see as the

1:04:53.240 --> 1:04:55.520
<v Speaker 1>President and the administration has been looking at the cost

1:04:55.600 --> 1:04:57.960
<v Speaker 1>of things, some rollbacks. I'm not quite sure how that

1:04:58.000 --> 1:05:02.280
<v Speaker 1>will ultimately maybe impact the liquor industry, but we'll be

1:05:02.360 --> 1:05:02.840
<v Speaker 1>keep ending in that.

1:05:02.920 --> 1:05:05.400
<v Speaker 3>Well, it's the economic backdrop that informs our conversation with

1:05:05.480 --> 1:05:08.480
<v Speaker 3>Ali Anderson. She's CEO at Kraftco. It's got a portfolio

1:05:08.480 --> 1:05:11.640
<v Speaker 3>that includes more than two dozen spirits and liqueurs think Bourbon,

1:05:11.720 --> 1:05:14.520
<v Speaker 3>jen Rye, Ready to Drink, Cocktails and more. The company

1:05:14.520 --> 1:05:17.040
<v Speaker 3>also does co packing for other brands. She joins US

1:05:17.040 --> 1:05:20.760
<v Speaker 3>from a distillery in Holland, Michigan. Last time you were

1:05:20.760 --> 1:05:23.080
<v Speaker 3>on with us, we spent the whole time talking about

1:05:23.120 --> 1:05:25.200
<v Speaker 3>tariffs and the effect of tariffs on your business. And

1:05:25.200 --> 1:05:28.440
<v Speaker 3>that's just one element that's a headwind. Other headwinds include

1:05:28.520 --> 1:05:31.840
<v Speaker 3>changing consumer tastes and how people think about GLP ones

1:05:31.840 --> 1:05:34.680
<v Speaker 3>and increasingly people taking GLP ones and that leading people

1:05:35.000 --> 1:05:37.600
<v Speaker 3>to drink less. What is the environment for you out

1:05:37.600 --> 1:05:38.200
<v Speaker 3>there right now?

1:05:39.160 --> 1:05:41.040
<v Speaker 12>Yeah, I mean, first of all, thank you for having

1:05:41.080 --> 1:05:41.360
<v Speaker 12>me back.

1:05:41.880 --> 1:05:42.680
<v Speaker 11>Good to see you guys.

1:05:43.040 --> 1:05:46.920
<v Speaker 12>All of the headlines, they seem pretty bleak, right, but

1:05:47.000 --> 1:05:50.120
<v Speaker 12>I think that's what business is today, especially in the

1:05:50.120 --> 1:05:52.520
<v Speaker 12>spirits industry. So what's the name of the game. You

1:05:52.560 --> 1:05:56.760
<v Speaker 12>have to pivot. You know, we certainly want to promote

1:05:56.800 --> 1:05:59.400
<v Speaker 12>as much health as we can across all industries, but

1:05:59.440 --> 1:06:02.280
<v Speaker 12>what we're looking at here is lifestyle shifts, and so

1:06:02.320 --> 1:06:04.280
<v Speaker 12>the industry has to has to shift with it.

1:06:05.280 --> 1:06:05.480
<v Speaker 1>You know.

1:06:05.520 --> 1:06:07.200
<v Speaker 12>Anecdotally, I was out to dinner with a friend a

1:06:07.240 --> 1:06:09.320
<v Speaker 12>couple of weeks ago who was who was on a

1:06:09.560 --> 1:06:12.240
<v Speaker 12>you know, I said, healing great, and he said, I'm cheating.

1:06:12.240 --> 1:06:13.040
<v Speaker 11>It's it's a shot.

1:06:13.080 --> 1:06:14.160
<v Speaker 1>But we enjoyed two.

1:06:14.000 --> 1:06:17.040
<v Speaker 12>Cocktails and I'll love reop so I think you see

1:06:17.160 --> 1:06:21.280
<v Speaker 12>people making healthy choices when and where they can and

1:06:21.320 --> 1:06:23.720
<v Speaker 12>what they're actually choosing. What my friend shows that night

1:06:24.240 --> 1:06:27.760
<v Speaker 12>was quality over quantity, and so those are the pivots.

1:06:27.400 --> 1:06:29.800
<v Speaker 1>And the shifts that we have to make industry as well.

1:06:30.040 --> 1:06:32.919
<v Speaker 1>I'm super like that with chocolate, Like I just need

1:06:32.960 --> 1:06:35.520
<v Speaker 1>a little piece of super good chocolate. I don't need

1:06:35.520 --> 1:06:39.080
<v Speaker 1>a lot, and then I'm happy. And so yeah, same

1:06:39.080 --> 1:06:42.000
<v Speaker 1>thing with alcohol. No, no, but let's go. Let's go there,

1:06:42.000 --> 1:06:45.880
<v Speaker 1>because I do think price point is something increasingly. Yes,

1:06:46.280 --> 1:06:50.120
<v Speaker 1>health diet that's certainly an aspect, but price point is

1:06:50.120 --> 1:06:53.480
<v Speaker 1>certainly increasingly something that we know all consumers are looking at.

1:06:53.520 --> 1:06:56.280
<v Speaker 1>We saw that play out in the recent elections in

1:06:56.320 --> 1:06:58.920
<v Speaker 1>some of the states. Like the economy does matter, the

1:06:59.000 --> 1:07:02.640
<v Speaker 1>money that is in or not in your pocketbook, it matters,

1:07:03.840 --> 1:07:04.720
<v Speaker 1>It absolutely does.

1:07:04.800 --> 1:07:07.720
<v Speaker 12>And you know, I've got premium brands, I have brands

1:07:07.760 --> 1:07:10.600
<v Speaker 12>that cross the spectrum. And so what we're seeing is, yeah,

1:07:10.840 --> 1:07:14.200
<v Speaker 12>our consumers down shifting just a little bit, sure, but

1:07:14.320 --> 1:07:18.360
<v Speaker 12>we're also seeing tremendous growth with products that are, you know,

1:07:18.440 --> 1:07:19.480
<v Speaker 12>over two hundred dollars.

1:07:19.840 --> 1:07:21.280
<v Speaker 1>So I think you are seeing.

1:07:21.120 --> 1:07:25.120
<v Speaker 12>A disparity across all of the price tiers. But at

1:07:25.120 --> 1:07:28.040
<v Speaker 12>the same time, like I said, you're seeing people redefine

1:07:28.080 --> 1:07:32.240
<v Speaker 12>what premium really means. I think it's coming maybe less

1:07:32.320 --> 1:07:35.440
<v Speaker 12>about price point and more about what the purpose driven

1:07:35.520 --> 1:07:38.800
<v Speaker 12>value is, what the occasion in their life they're using.

1:07:40.040 --> 1:07:42.920
<v Speaker 12>They're using alcohol to celebrate with. So I think, you know,

1:07:43.000 --> 1:07:45.520
<v Speaker 12>at the end of the day, people want transparency. They

1:07:45.520 --> 1:07:49.160
<v Speaker 12>want transparency in price, they want transparency and how we source,

1:07:49.320 --> 1:07:51.000
<v Speaker 12>how we produce, how we give back, all.

1:07:50.920 --> 1:07:51.560
<v Speaker 5>Of those things.

1:07:52.440 --> 1:07:54.360
<v Speaker 3>In terms of the lineup that you have right now,

1:07:54.400 --> 1:07:57.520
<v Speaker 3>you said people are choosing quality over quantity. Is there

1:07:57.560 --> 1:08:00.520
<v Speaker 3>a certain you have a large range of what you do.

1:08:00.600 --> 1:08:06.200
<v Speaker 3>I mean, dozens of different spirits and alcohols, liqueurs, ready

1:08:06.200 --> 1:08:08.480
<v Speaker 3>to drink cocktails. Where's the strength.

1:08:10.480 --> 1:08:16.840
<v Speaker 12>It's inconvenience, variety, innovation? I think people don't. What we're

1:08:16.840 --> 1:08:20.120
<v Speaker 12>seeing is people don't mind spending a little bit more

1:08:20.200 --> 1:08:22.960
<v Speaker 12>for something that they haven't seen before, right, And that

1:08:23.000 --> 1:08:26.519
<v Speaker 12>could be with an RTD. So maybe it's maybe it's

1:08:26.560 --> 1:08:29.040
<v Speaker 12>a little more expensive RTD, but it's a flavor combination

1:08:29.080 --> 1:08:31.519
<v Speaker 12>they haven't quite had before. Or maybe it's a really

1:08:31.600 --> 1:08:35.000
<v Speaker 12>luxury whiskey with a finish or a blending technique in

1:08:35.040 --> 1:08:37.960
<v Speaker 12>our case that they haven't seen before. So again, I

1:08:38.000 --> 1:08:42.280
<v Speaker 12>think people we vote with our dollars, right, and they'll

1:08:42.400 --> 1:08:44.840
<v Speaker 12>consume what they think is new, interesting and what they

1:08:44.880 --> 1:08:46.800
<v Speaker 12>can get information about what they connect with.

1:08:47.240 --> 1:08:49.680
<v Speaker 1>So RTD obviously ready to drink. I've had certainly some

1:08:49.720 --> 1:08:52.920
<v Speaker 1>of those. Hey, you sent over to our team so

1:08:52.920 --> 1:08:54.400
<v Speaker 1>that we could share with the audience some of the

1:08:54.400 --> 1:08:56.320
<v Speaker 1>stuff that you guys I actually have. Next to be

1:08:56.800 --> 1:09:01.200
<v Speaker 1>copper Craft distillery made in the US, say Holland, Michigan.

1:09:01.360 --> 1:09:04.639
<v Speaker 1>It's straight bourbon whiskey. Tell me about this one. I'm

1:09:04.680 --> 1:09:06.920
<v Speaker 1>actually gonna be It's been quite a day, it's been

1:09:07.000 --> 1:09:09.200
<v Speaker 1>quite a week, it's been quite a year. I'm gonna

1:09:09.360 --> 1:09:11.880
<v Speaker 1>I join you. Yes, I join you. We're so sick.

1:09:11.960 --> 1:09:15.559
<v Speaker 3>Yes, she's at You're you're here in the studio.

1:09:15.840 --> 1:09:19.160
<v Speaker 1>I'm here, I'm here in our distillery. I don't want

1:09:19.160 --> 1:09:20.120
<v Speaker 1>to wait wait maybe.

1:09:22.200 --> 1:09:22.880
<v Speaker 9>Oh, there we go.

1:09:23.000 --> 1:09:25.000
<v Speaker 1>Okay. I didn't want to see a la I didn't

1:09:25.000 --> 1:09:27.000
<v Speaker 1>want to spill it. Okay, so tell me, but tell

1:09:27.000 --> 1:09:29.320
<v Speaker 1>me about this because it isn't certainly a brand that

1:09:29.360 --> 1:09:31.960
<v Speaker 1>I think I'm familiar with. But you're right, people are looking.

1:09:32.280 --> 1:09:34.200
<v Speaker 1>I know when I go to buy a winder. I

1:09:34.280 --> 1:09:35.840
<v Speaker 1>like to try different things.

1:09:36.479 --> 1:09:39.240
<v Speaker 12>Right, right, So you know we're based out of Holland, Michigan,

1:09:39.240 --> 1:09:41.120
<v Speaker 12>and you think I get this question all the time.

1:09:41.280 --> 1:09:44.719
<v Speaker 12>Isn't whiskey just in Kentucky? And the great thing about

1:09:44.720 --> 1:09:47.280
<v Speaker 12>an American spirit is that it can be in all

1:09:47.320 --> 1:09:50.439
<v Speaker 12>fifty states. And so for us, we're in Holland, Michigan,

1:09:50.800 --> 1:09:52.639
<v Speaker 12>on the west side of Michigan here on the Lake shore,

1:09:53.000 --> 1:09:55.880
<v Speaker 12>and we create We've had this brand for for many,

1:09:55.880 --> 1:09:58.720
<v Speaker 12>many years. And I think what you've got is it's

1:09:58.720 --> 1:10:00.040
<v Speaker 12>a it's a straight bourbon.

1:09:59.840 --> 1:10:02.719
<v Speaker 1>W I could smell the whiskey sour that could also

1:10:02.760 --> 1:10:03.519
<v Speaker 1>be made out of this bay.

1:10:03.600 --> 1:10:06.080
<v Speaker 3>This is finished in this is finished in rum casks.

1:10:06.120 --> 1:10:06.760
<v Speaker 3>What does that mean?

1:10:07.800 --> 1:10:10.600
<v Speaker 12>Well, it means we took an already amazing whiskey. I

1:10:10.600 --> 1:10:12.599
<v Speaker 12>think the one you've got is eight years old and

1:10:12.640 --> 1:10:14.479
<v Speaker 12>we put it in, Oh, I don't have any casts

1:10:14.479 --> 1:10:16.639
<v Speaker 12>in this room. We put it in a rum cask

1:10:16.720 --> 1:10:18.519
<v Speaker 12>that it used to hold rum, and we just let.

1:10:18.439 --> 1:10:22.639
<v Speaker 3>It rest for about a year so it flavor. Then

1:10:22.840 --> 1:10:25.240
<v Speaker 3>something that would be finished in a different type of cask.

1:10:25.280 --> 1:10:28.479
<v Speaker 1>But I see what you say, like you don't mean what.

1:10:28.880 --> 1:10:31.320
<v Speaker 1>It reminds me of my dad who used to make

1:10:31.320 --> 1:10:33.360
<v Speaker 1>whiskey sours for all of us as kids, and most

1:10:33.360 --> 1:10:35.040
<v Speaker 1>of the times it was a lot more oranges and

1:10:35.120 --> 1:10:39.479
<v Speaker 1>cherries in it than whiskey. But you could also just

1:10:40.320 --> 1:10:44.920
<v Speaker 1>the variety. I feel like the craft industry even in

1:10:45.000 --> 1:10:48.519
<v Speaker 1>the car, like you just alone, it's just something really nice,

1:10:49.120 --> 1:10:50.720
<v Speaker 1>right Like what did Kraft used to be?

1:10:50.760 --> 1:10:52.840
<v Speaker 12>If we look back at beer, we think craft was

1:10:53.240 --> 1:10:56.880
<v Speaker 12>small batch, craft, whiskey, small batch, and Kraft. Much like

1:10:56.920 --> 1:11:00.200
<v Speaker 12>the way we'd redefined premium, craft has evolved too. So

1:11:00.280 --> 1:11:01.439
<v Speaker 12>like you just said, up, you know, I've not heard

1:11:01.479 --> 1:11:01.960
<v Speaker 12>of this before.

1:11:02.000 --> 1:11:02.360
<v Speaker 5>What is this?

1:11:02.439 --> 1:11:05.080
<v Speaker 12>And so craft is now evolving to be what is

1:11:05.120 --> 1:11:08.280
<v Speaker 12>that experience? I can get? Who are the people that

1:11:08.360 --> 1:11:10.880
<v Speaker 12>make it? How transparent are they about what they're doing?

1:11:10.920 --> 1:11:11.840
<v Speaker 12>Can I go visit them?

1:11:11.880 --> 1:11:12.479
<v Speaker 11>Who are you know?

1:11:13.200 --> 1:11:16.160
<v Speaker 12>That's what craft is now. It's the process, the technique,

1:11:16.200 --> 1:11:19.519
<v Speaker 12>the people, the story that you're telling about the whiskey

1:11:19.640 --> 1:11:19.920
<v Speaker 12>right now.

1:11:20.800 --> 1:11:24.000
<v Speaker 3>The distribution of this is a question that I have

1:11:24.160 --> 1:11:26.439
<v Speaker 3>because at least here in New York City, I don't

1:11:26.479 --> 1:11:29.320
<v Speaker 3>know how it works in other parts of the world,

1:11:29.400 --> 1:11:31.240
<v Speaker 3>but in other parts of the country, but you walk

1:11:31.280 --> 1:11:34.280
<v Speaker 3>into a liquor store and I've talked to some of

1:11:34.320 --> 1:11:37.840
<v Speaker 3>these folks in there, and again it's changes depending on

1:11:37.840 --> 1:11:42.639
<v Speaker 3>where you live. But it's a challenge to get smaller

1:11:42.680 --> 1:11:46.600
<v Speaker 3>brands on the shelves, especially with the big brands, the

1:11:46.960 --> 1:11:49.720
<v Speaker 3>large brands that own a good portion. They come in

1:11:49.760 --> 1:11:51.640
<v Speaker 3>and say, okay, well, if you want to carry this,

1:11:51.720 --> 1:11:53.559
<v Speaker 3>you have to carry this, and there's not much power

1:11:53.600 --> 1:11:55.479
<v Speaker 3>that these small companies have. How do you make sure

1:11:55.479 --> 1:11:58.320
<v Speaker 3>you get shelf space? And shelf space that's like premium.

1:11:59.040 --> 1:11:59.800
<v Speaker 1>What a great question.

1:12:00.000 --> 1:12:03.920
<v Speaker 12>Relationships, Like any business, any industry, it really does come

1:12:03.960 --> 1:12:07.920
<v Speaker 12>down to relationships. And for a small you know craft right,

1:12:09.080 --> 1:12:11.439
<v Speaker 12>We've got five brands, we cover forty two states and

1:12:11.479 --> 1:12:13.080
<v Speaker 12>we're still crafts. What does that mean? We have to

1:12:13.120 --> 1:12:15.559
<v Speaker 12>show up in market. You've got to show up at

1:12:15.560 --> 1:12:17.760
<v Speaker 12>that retailer, You've got to show up with the distributors.

1:12:17.920 --> 1:12:21.559
<v Speaker 12>Those distributors are still my customers. So it's built on

1:12:21.680 --> 1:12:25.000
<v Speaker 12>relationships and making sure they know just like we connect

1:12:25.000 --> 1:12:27.960
<v Speaker 12>with our consumers online and tell those stories, make sure

1:12:27.960 --> 1:12:29.840
<v Speaker 12>they know who we are and that we are a

1:12:29.880 --> 1:12:33.800
<v Speaker 12>small business that every single sale matters to us and

1:12:33.920 --> 1:12:37.040
<v Speaker 12>much like them, you know, we're just trying to connect

1:12:37.080 --> 1:12:39.360
<v Speaker 12>with consumers. So I think it's finding that common ground

1:12:39.400 --> 1:12:40.280
<v Speaker 12>through relationships.

1:12:40.600 --> 1:12:42.559
<v Speaker 1>Yeah, it always comes down to that. I feel like

1:12:42.600 --> 1:12:46.360
<v Speaker 1>relationships for so many different industries. Hey, before you go,

1:12:46.680 --> 1:12:50.840
<v Speaker 1>we've talked about copper craft and I actually sampled some,

1:12:51.400 --> 1:12:53.439
<v Speaker 1>but you also shared with our team, just to kind

1:12:53.439 --> 1:12:55.759
<v Speaker 1>of look at kind of the variety and different places

1:12:55.760 --> 1:12:59.559
<v Speaker 1>you go. Elderflower. I'm a little obsessed with Elderflower right now.

1:12:59.560 --> 1:13:06.200
<v Speaker 1>And you've got Thatcher's Organic, our tea Artisal Artisenal, Yeah,

1:13:07.360 --> 1:13:11.240
<v Speaker 1>Artesian Artesian, Yeah, yeah, that's right. Sorry, Sorry, I couldn't

1:13:11.240 --> 1:13:14.799
<v Speaker 1>read it. I'm looking off my because we took a picture.

1:13:15.520 --> 1:13:19.599
<v Speaker 1>You've got fox and is it Odenny Odin Odin?

1:13:19.720 --> 1:13:19.840
<v Speaker 12>Ok?

1:13:20.720 --> 1:13:22.760
<v Speaker 1>Sorry, I'm ashually get a small picture, but tell us

1:13:22.800 --> 1:13:24.040
<v Speaker 1>a little bit about some of the other ones. And

1:13:24.040 --> 1:13:27.680
<v Speaker 1>then Thatcher's vodka. It's not as I've been drinking. I

1:13:27.720 --> 1:13:29.639
<v Speaker 1>just couldn't read the picture because I took a picture,

1:13:29.680 --> 1:13:34.439
<v Speaker 1>so I can read on air, I'll join you.

1:13:34.479 --> 1:13:37.200
<v Speaker 12>No, it's a Thatcher's Organic, right, it's you know we

1:13:37.200 --> 1:13:38.440
<v Speaker 12>think about spirits.

1:13:38.760 --> 1:13:39.559
<v Speaker 1>Does it really matter?

1:13:39.640 --> 1:13:42.960
<v Speaker 12>Yeah, sure it does. Something like Thattress is very culinary forward.

1:13:43.000 --> 1:13:45.439
<v Speaker 12>So you mentioned Elderflower. I bet we're drinking the heck

1:13:45.479 --> 1:13:47.360
<v Speaker 12>out of Hugo Sprits is right now with that elder

1:13:47.400 --> 1:13:51.120
<v Speaker 12>flower totally amazing, right, yes, yeah, and again that's a

1:13:51.240 --> 1:13:54.240
<v Speaker 12>that's a way to enjoy maybe a little bit of

1:13:54.280 --> 1:13:57.679
<v Speaker 12>lower proof but still still feel great and be festive

1:13:57.680 --> 1:13:59.680
<v Speaker 12>in all of those things. So you know, then we've

1:13:59.680 --> 1:14:03.439
<v Speaker 12>got like sox and Odin is luxury whiskey, and that's

1:14:04.360 --> 1:14:06.800
<v Speaker 12>we've got a beautiful double oaked that was just up

1:14:06.880 --> 1:14:09.920
<v Speaker 12>for We had two of the top five finalists for

1:14:10.000 --> 1:14:14.040
<v Speaker 12>the best special barrel finished Whiskeys in the world a

1:14:14.040 --> 1:14:17.320
<v Speaker 12>couple sundays ago in San Francisco. So you know, we're

1:14:17.320 --> 1:14:20.240
<v Speaker 12>super We're craft We're competing against all these big guys,

1:14:20.640 --> 1:14:23.000
<v Speaker 12>but because of what we're able to do with our size,

1:14:23.040 --> 1:14:25.479
<v Speaker 12>with our expertise, you know, we can deliver some really

1:14:25.560 --> 1:14:27.320
<v Speaker 12>luxury things to the market as well, and we do.

1:14:27.960 --> 1:14:30.640
<v Speaker 3>That was Ali Anderson, CEO of Craft Co.

1:14:31.120 --> 1:14:33.120
<v Speaker 1>All right, so all of you who are maybe still

1:14:33.160 --> 1:14:35.880
<v Speaker 1>leading some leftovers from Thanksgiving, it's kind of my favorite

1:14:35.880 --> 1:14:39.200
<v Speaker 1>thing to have, like pecan pie, pecan pie for breakfast.

1:14:39.840 --> 1:14:42.000
<v Speaker 3>It's okay, call it what you will, but just just

1:14:42.120 --> 1:14:43.240
<v Speaker 3>eat it, you know whatever.

1:14:43.400 --> 1:14:45.720
<v Speaker 1>But what you might have noticed over the holiday over

1:14:45.760 --> 1:14:49.879
<v Speaker 1>Thanksgiving is that alcohol consumption. People are drinking less. Consumption

1:14:49.960 --> 1:14:51.519
<v Speaker 1>here in the US when it comes to alcohol, has

1:14:51.520 --> 1:14:54.320
<v Speaker 1>fallen to its lowest level in decades, driven by health

1:14:54.360 --> 1:14:57.840
<v Speaker 1>fears GLP one, weight loss, drugs that can actually dull

1:14:57.920 --> 1:15:01.599
<v Speaker 1>alcohol cravings, and of course rising cannabis use. About fifty

1:15:01.600 --> 1:15:04.519
<v Speaker 1>one percent of respondents in a September Bloomberg Intelligence survey,

1:15:04.720 --> 1:15:08.120
<v Speaker 1>so they now substitute cannabis for alcohol at least weekly,

1:15:08.240 --> 1:15:10.800
<v Speaker 1>So up about five percentage points from last year. And

1:15:10.800 --> 1:15:13.960
<v Speaker 1>that includes in the Thanksgiving feasts.

1:15:14.160 --> 1:15:18.080
<v Speaker 3>Yeah, this is pretty wild. So the Wednesday before Thanksgiving, Yeah,

1:15:18.400 --> 1:15:22.080
<v Speaker 3>some have started dubbing that Wednesday Green Wednesday. This is

1:15:22.120 --> 1:15:27.240
<v Speaker 3>according to the BDSA, that's the cannabis Market tracker. Yeah,

1:15:27.280 --> 1:15:30.120
<v Speaker 3>it's the second biggest day of the year for legal

1:15:30.160 --> 1:15:31.599
<v Speaker 3>cannabis sales in the US.

1:15:31.880 --> 1:15:34.160
<v Speaker 1>Maybe everybody just wants to kind of mellow out, you know,

1:15:34.160 --> 1:15:36.639
<v Speaker 1>before they see all their family. Well, or why aren't

1:15:36.680 --> 1:15:38.960
<v Speaker 1>you married, Why don't you have kids, Why don't you

1:15:39.160 --> 1:15:43.720
<v Speaker 1>like why don't you finish that degree? Like anyway, all

1:15:43.720 --> 1:15:46.720
<v Speaker 1>I'm gonna say is whether you had a happy Thanksgiving

1:15:46.800 --> 1:15:49.439
<v Speaker 1>or happy Thanksgiving? You know, I just hope you had

1:15:49.680 --> 1:15:50.599
<v Speaker 1>a good and safe holiday.

1:15:50.640 --> 1:15:51.560
<v Speaker 3>I like that Thanksgiving.

1:15:52.400 --> 1:15:54.560
<v Speaker 1>Check out this story. It's on the Bloomberg.

1:15:54.120 --> 1:15:55.679
<v Speaker 3>There's a reason it was one of the most read.

1:15:55.960 --> 1:15:59.439
<v Speaker 1>Charles Grevin of Bloomberg News wrote it, Americans ditching wine

1:15:59.439 --> 1:16:02.120
<v Speaker 1>to get HI on gummies this Thanksgiving, So maybe that

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<v Speaker 1>was your Thanksgiving as well. All right, that wraps up

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<v Speaker 1>this Thanksgiving weekend edition of Bloomberg Business Week from Bloomberg Radio.

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<v Speaker 1>Thank you so much for joining us.

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<v Speaker 3>I'm tim Stennebeck.

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<v Speaker 1>Haven't you ever done the cousin Walk?

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<v Speaker 3>No, I don't even know what that.

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<v Speaker 1>Is the story? You know, I guess you are our producer.

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<v Speaker 1>It's okay, yeah, and I'm Carol Masser. Have a good

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<v Speaker 1>and save holiday weekend. Enjoy the leftovers.

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<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify,

1:16:33.040 --> 1:16:36.759
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

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<v Speaker 2>afternoons from two to five pm Eastern on Bloomberg dot Com,

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<v Speaker 2>the iHeartRadio app, tune In, and the Bloomberg Business App.

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<v Speaker 2>You can also watch us live every weekday on YouTube

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<v Speaker 2>and always on the Bloomberg terminal