WEBVTT - Merck Makes Splash with Prometheus Acquisition

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>So global MNA activity is gearing up for a spring renaissance,

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<v Speaker 2>with more than twenty billion of potential transactions emerging since

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<v Speaker 2>the weekend, the latest charge being led by merk which

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<v Speaker 2>agreed yesterday to buy Prometheus Biosciences for about ten point

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<v Speaker 2>eight billion works out to about two hundred in cash,

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<v Speaker 2>continuing a theme of large biotechs looking for ways to

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<v Speaker 2>boost pipelines and portfolios of new drugs. It's an old story,

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<v Speaker 2>We've seen this before. It is also the latest boost

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<v Speaker 2>for deal makers in healthcare, which is one of the

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<v Speaker 2>few sectors justice to fight.

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<v Speaker 3>The global slump.

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<v Speaker 2>At M and A.

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<v Speaker 3>We are seeing activity here.

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<v Speaker 4>And with more on that, we do have Sam Fazelli,

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<v Speaker 4>who's the senior pharmaceutical analyst at Bloomberg Intelligence on Zoo

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<v Speaker 4>from London and Sam, I'm looking at shares of Prometheus Biosciences.

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<v Speaker 4>That's tickersible. Rx DX is about seventy percent on peace

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<v Speaker 4>Sport's best day since early December. Breakdown this deal for us.

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<v Speaker 5>Yeah, Hi, So basically what we've got is merk is

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<v Speaker 5>going after a drug that has shown which is the

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<v Speaker 5>key asset that Prometheus has, that has shown very good

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<v Speaker 5>at efficacy, accepting that his cross trial comparisons or either

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<v Speaker 5>not being competitive to head, it seems to be the

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<v Speaker 5>best efficacy that we've seen so far in treating inflammatory

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<v Speaker 5>bowel disease, and that's a big market.

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<v Speaker 6>J and J alone has a drug called Stellara.

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<v Speaker 5>Where of course it's used in other indications too, and

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<v Speaker 5>that could be the same for Prometheus's drug is doing

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<v Speaker 5>close to ten billion.

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<v Speaker 6>Dollars expectation this year. So you know, then when you put.

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<v Speaker 5>That into context, ten point eighty billion dollars doesn't stand

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<v Speaker 5>like a lot at least from this basic assessment. But

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<v Speaker 5>of course commercial dynamics could be very different when this

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<v Speaker 5>drug comes to market in twenty twenty six.

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<v Speaker 2>Yeah, I'm just going to say, right, that's a few

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<v Speaker 2>years from now, and you know better than most sam

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<v Speaker 2>about the you know, drug trial process. You know there

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<v Speaker 2>could be some stumbling blocks. So but you would assume

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<v Speaker 2>that Mark has done its homework in a big way here.

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<v Speaker 5>Sure, but this is a this is an early stage trial.

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<v Speaker 5>When you go into larger base three trials.

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<v Speaker 6>Different kinds of things can surface. But I'm not necessarily

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<v Speaker 6>worried about spiderfecks.

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<v Speaker 5>I mean that is a risk that drug companies take

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<v Speaker 5>day in, day out, or the efficause it doesn't pan

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<v Speaker 5>out as well as it did in the smaller trial.

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<v Speaker 5>What I think is interesting going to be interesting is

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<v Speaker 5>that the same drug that I mentioned earlier, Johnson and

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<v Speaker 5>Johnson's drug.

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<v Speaker 6>Stillara, is going off patent imminently.

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<v Speaker 5>So this is this peak year and in twenty twenty

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<v Speaker 5>four it's going to be going losing.

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<v Speaker 6>Market share to buy a similar drugs it will be cheaper.

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<v Speaker 5>So when Mark comes to market with this drug, where

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<v Speaker 5>will it be positioned? Will you people be forced to

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<v Speaker 5>use the Laura first and if they fail, then they

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<v Speaker 5>use permifew drug, which would then take longer to ramp

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<v Speaker 5>up sales.

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<v Speaker 4>Sam, I know MRK is really focused when it comes

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<v Speaker 4>to oncology, but I know it's key drug, key Truda.

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<v Speaker 4>It's estimated to bring in around forty three percent of

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<v Speaker 4>its revenues by the end of twenty twenty four. Now,

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<v Speaker 4>as far as the expiration is concerned, it's still wilder.

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<v Speaker 4>But is this really a key play as far as

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<v Speaker 4>the patent front, as far as what it can do

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<v Speaker 4>to still boost those revenues once that patent does expire.

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<v Speaker 5>Yeah, So the patent expires in twenty twenty eight, and

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<v Speaker 5>we don't think that they're going to be able to

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<v Speaker 5>push that much further.

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<v Speaker 6>Of course, it doesn't.

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<v Speaker 5>Expire everywhere at the same time, so it's going to

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<v Speaker 5>be a relatively speaking, at that point, expectations are about

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<v Speaker 5>thirty three billion dollars of sales, but we think that

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<v Speaker 5>it could lose about seventeen over the next two years,

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<v Speaker 5>and that's what consensus has in their expects.

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<v Speaker 6>So will you be able to replace seventeen billion? That's

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<v Speaker 6>a big ask.

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<v Speaker 5>There are other drugs in this pipeline that are looking

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<v Speaker 5>really good from previous acquisitions and this will help, but

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<v Speaker 5>we don't think that it's going to be quite enough

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<v Speaker 5>to make up that difference. That therefore they'll need more

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<v Speaker 5>deals or at least more drugs coming out of their

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<v Speaker 5>own pipeline.

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<v Speaker 2>Hey, Sam, I mean we've seen this movie before, right,

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<v Speaker 2>you know, the big pharmaceutical companies have drugs coming off

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<v Speaker 2>patent and then they got to figure out how to

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<v Speaker 2>beef up their patent pipeline. I mean, is that what

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<v Speaker 2>is at this point once again driving so the acquisition

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<v Speaker 2>mode if you will, among the big drug companies.

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<v Speaker 6>Yes, it is exactly that.

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<v Speaker 5>You know, we've got estimates of over three hundred billion

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<v Speaker 5>dollars worth of drugs exposed to pattern the experience by

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<v Speaker 5>twenty thirty.

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<v Speaker 6>Now that doesn't mean that's the sales that lose, but

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<v Speaker 6>that's a big number. Over some period of time post

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<v Speaker 6>twenty thirty.

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<v Speaker 5>They will lose some of those sales to competition, So

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<v Speaker 5>they're going to have to be able to replace.

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<v Speaker 6>Is that some people will do a better job of

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<v Speaker 6>replacing than others.

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<v Speaker 5>Time will tell, but they certainly need this and there's

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<v Speaker 5>going to be more in Mana to get through this.

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<v Speaker 2>I am also curious Sam that kind of what's on

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<v Speaker 2>everybody's radar. We talk to various folks in the medical

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<v Speaker 2>community and just in the innovative space and disruptive space,

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<v Speaker 2>and they talk about the human genome and you personalized,

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<v Speaker 2>individualized drugs, and I'm thinking, also, we're coming off the

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<v Speaker 2>pandemic and I'm thinking about what we might need next

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<v Speaker 2>and messenger RNA right, that led to the development of

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<v Speaker 2>those drugs. What are some of the things that are

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<v Speaker 2>on your radar that you think are probably on the

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<v Speaker 2>radar of you know, a mercer, a Pfizer and others

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<v Speaker 2>out there.

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<v Speaker 6>Yeah, I mean there are. There's so much going on

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<v Speaker 6>in science. Prometheus is an example of that. This is

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<v Speaker 6>a completely new target.

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<v Speaker 5>Being developed for this inflammatory disease, which has seen quite

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<v Speaker 5>a lot of innovation.

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<v Speaker 6>There are patients with psoriasis, which is pretty bad.

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<v Speaker 5>Disorder that that see one diseaser mission or skin clearance

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<v Speaker 5>with some of these newer drugs. So immunology is exploding.

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<v Speaker 5>Our understanding of immunology is exploding, which frankly touches every

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<v Speaker 5>disease that there is. And so the more in depth

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<v Speaker 5>understanding of immunology will have, the better we'll be able

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<v Speaker 5>to target some of these diseases. At the same time,

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<v Speaker 5>the modalities that we can do it with are expanding

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<v Speaker 5>protein degraders, things that can downregulate the amount of a protein.

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<v Speaker 6>That's produced, even if it's not a standard way of

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<v Speaker 6>doing pharmacology. So there's that element. There's the modern a vaccines,

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<v Speaker 6>there are the gene editing technologies all targeted at trying

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<v Speaker 6>to stall single gene diseases.

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<v Speaker 5>Or targeting immune system disorders, which, as I said, is

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<v Speaker 5>involved in every pretty much every disease that there is.

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<v Speaker 4>And Sam I was curious about what you think this

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<v Speaker 4>says about the macro and the economy as far as

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<v Speaker 4>a sign of confidence if you have these c suite

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<v Speaker 4>executives that want to put more money to work, and

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<v Speaker 4>particularly obviously when we're talking about the pharmaceutical.

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<v Speaker 6>Industry, yep.

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<v Speaker 5>I mean, look at the end of the day, when

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<v Speaker 5>you have that drug that's been become such a success,

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<v Speaker 5>not just for your P and L, but also for patients.

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<v Speaker 5>And I'm talking about Key Truder here as an example,

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<v Speaker 5>you need to do something.

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<v Speaker 6>You can't just sit back.

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<v Speaker 5>And let's not forget pharmaceutical companies are not impacted by

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<v Speaker 5>the macro environment as much as consumer stocks or tech

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<v Speaker 5>or etc.

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<v Speaker 6>They are less.

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<v Speaker 5>Sensitive to interest rate rises because they're very high cash generative,

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<v Speaker 5>highly cash generative, so they're in a position to exercise

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<v Speaker 5>this power. And thank god, because at the end of

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<v Speaker 5>the day, we do need the drugs that they're bringing

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<v Speaker 5>into market, and they are making a difference, putting the

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<v Speaker 5>pricing discussion aside, because that's a whole different kettle of fish.

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<v Speaker 2>Yeah, it's pretty remarkable though you think about what Pfizer

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<v Speaker 2>was it last month bought Siegen for forty three billion.

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<v Speaker 2>I mean, there's so much going on in the space. Hey,

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<v Speaker 2>any thoughts if you will, Sam, on Prometheus, it's trained

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<v Speaker 2>below two hundred. We know that two hundred in cash

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<v Speaker 2>was what Mark put out for it. Does that mean

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<v Speaker 2>anything significantly to you just quickly?

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<v Speaker 6>Not really? Not really.

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<v Speaker 5>I mean if you look at Merk's current areas of

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<v Speaker 5>activity in this disease area.

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<v Speaker 6>There really don't. I don't really think there's much competition.

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<v Speaker 6>The drug is early stage, is high risk.

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<v Speaker 5>I think this is just six months of waiting for

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<v Speaker 5>it to close, or a few months of waiting for

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<v Speaker 5>it to close on that gap will likely close.

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<v Speaker 6>So I don't read too much into this.

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<v Speaker 2>Okay, well, good, good to get some perspective and fun

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<v Speaker 2>to have kind of another m and a Monday, which

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<v Speaker 2>we don't always have, or it has it feels like

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<v Speaker 2>we haven't in a while.

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<v Speaker 3>Hey, Sam, thank you so much.

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<v Speaker 2>I know it's a little bit later out there in London,

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<v Speaker 2>so appreciate you hanging around so we could talk with you.

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<v Speaker 2>Sam Fazzelli, he's Bloomberg Intelligence senior pharmaceutical analyst, as we said,

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<v Speaker 2>joining us zoom from London. Check out Bloomberg dot com

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<v Speaker 2>for some of the additional research by Sam and the

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<v Speaker 2>team and some of the other reporting when it comes

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<v Speaker 2>to this acquisition. But it is typically you know about

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<v Speaker 2>the pipeline, Jess. That's what it's about for these big

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<v Speaker 2>pharmaceutical companies. You know, if you know covering business news

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<v Speaker 2>a lot, you see this, these cycles that go through

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<v Speaker 2>for these companies that have these blockbusters that bring in

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<v Speaker 2>so much money, and then they go off patent and

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<v Speaker 2>then they've got to think about, okay, what brings in

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<v Speaker 2>revenues from right?

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<v Speaker 4>And when you think about how much cash these companies

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<v Speaker 4>were sitting on in the pandemic, Carol, and then wondering

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<v Speaker 4>what do we do with the money? Well, particularly with

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<v Speaker 4>the pharmaceutical giants, maybe more M and.

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<v Speaker 2>A yeah, exactly, and we've seen a fair amount already

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<v Speaker 2>this year.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

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<v Speaker 7>It's not easy being green, having to spend each day

0:10:05.880 --> 0:10:08.600
<v Speaker 7>the color of the leaves.

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<v Speaker 2>All right, everybody, a little kermit for you, because we're

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<v Speaker 2>all talking about being green, We're going to talk about

0:10:17.800 --> 0:10:21.240
<v Speaker 2>farming and growing green something. This next company knows a

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<v Speaker 2>lot about it, and I've got to say, you know,

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<v Speaker 2>we've been talking about this a lot here Jess on air.

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<v Speaker 2>We recently caught up with the founder and CEO of

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<v Speaker 2>the ag tech company Regrow, and a lot is going

0:10:30.840 --> 0:10:33.440
<v Speaker 2>on when it comes to farming, food and the AG space,

0:10:33.600 --> 0:10:36.760
<v Speaker 2>which is really seeing some disruption and also growth in

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<v Speaker 2>terms of the market size. So let's get into it

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<v Speaker 2>with someone who's well versed and embedded in the agg

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<v Speaker 2>and farming space. We welcome Irving Fine, founder and CEO

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<v Speaker 2>Barry Farming, which is backed by GV formerly Google Ventures.

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<v Speaker 2>He joins us via zoom in New York City. Irving,

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<v Speaker 2>I've been looking forward to having you on air. Welcome

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<v Speaker 2>and good to have you here. First of all, how

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<v Speaker 2>should do you think the world think about modern arming?

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<v Speaker 8>You know, it's it's an important question, and I imagine

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<v Speaker 8>at some point you all have talked about. You know,

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<v Speaker 8>we have a big and important farm bill that is

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<v Speaker 8>coming up again quite soon, and so not only does

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<v Speaker 8>the world need to be thinking about farming, but this

0:11:18.120 --> 0:11:22.160
<v Speaker 8>country is very specifically thinking about farming. And you know,

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<v Speaker 8>one of the statistics that I think a lot of

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<v Speaker 8>people always find surprising or often find surprising, is that

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<v Speaker 8>agriculture is actually the second largest source of global greenhouse

0:11:32.040 --> 0:11:36.000
<v Speaker 8>gas emissions, right after the production of electricity and heat.

0:11:36.120 --> 0:11:39.120
<v Speaker 8>So it actually accounts for a bigger slice of greenhouse

0:11:39.120 --> 0:11:41.840
<v Speaker 8>gas emissions than the transportation sector, which you all were

0:11:41.880 --> 0:11:45.920
<v Speaker 8>just talking about. And so when you think about what

0:11:46.000 --> 0:11:48.480
<v Speaker 8>does modern farming need to look like, one of the

0:11:48.920 --> 0:11:51.640
<v Speaker 8>critical recognition that we all need to have is there

0:11:51.720 --> 0:11:54.040
<v Speaker 8>is no path to that zero. There is no path

0:11:54.080 --> 0:11:59.040
<v Speaker 8>to decarbonization that doesn't lead directly through all of agriculture.

0:11:59.080 --> 0:12:03.120
<v Speaker 8>And so the question you're asking is an extraordinarily important

0:12:03.160 --> 0:12:05.599
<v Speaker 8>question for all of us to answer, not only in

0:12:05.600 --> 0:12:07.840
<v Speaker 8>the next few years, but in the next few decades,

0:12:07.880 --> 0:12:11.320
<v Speaker 8>as we need to transition to a more sustainable system

0:12:11.640 --> 0:12:13.080
<v Speaker 8>that needs to feed a lot more people.

0:12:13.240 --> 0:12:15.400
<v Speaker 2>Are we doing it yet? I mean, I feel like

0:12:15.480 --> 0:12:18.240
<v Speaker 2>you're involved in it. There's definitely pockets. But I also

0:12:18.240 --> 0:12:21.720
<v Speaker 2>think about industrial farming. It's massive and controls a lot.

0:12:21.840 --> 0:12:23.640
<v Speaker 3>So where are we in.

0:12:23.640 --> 0:12:25.960
<v Speaker 2>Not only thinking about it, but doing something differently that's

0:12:26.040 --> 0:12:27.440
<v Speaker 2>better for our world?

0:12:28.400 --> 0:12:32.520
<v Speaker 8>So massive it is, and changing a system that is

0:12:32.600 --> 0:12:36.920
<v Speaker 8>as large and embedded as sort of broad based industrial

0:12:36.920 --> 0:12:39.880
<v Speaker 8>agriculture is is not something that happens overnight. And I

0:12:39.920 --> 0:12:41.920
<v Speaker 8>think you can just look towards the energy sector, the

0:12:41.920 --> 0:12:45.160
<v Speaker 8>transportation sector, which are in many ways far ahead of

0:12:45.200 --> 0:12:49.400
<v Speaker 8>where we are agriculturally, to see how long real transformational

0:12:49.520 --> 0:12:52.720
<v Speaker 8>change takes. And you know, I think there's an interesting

0:12:52.720 --> 0:12:56.400
<v Speaker 8>statistic that really answers your question more effectively than anything

0:12:56.440 --> 0:12:59.280
<v Speaker 8>I can say, which is, for every gigaton of CO

0:12:59.600 --> 0:13:03.680
<v Speaker 8>two that's generated annually by the combined global energy and

0:13:03.679 --> 0:13:09.200
<v Speaker 8>transportation sectors, fifty one billion dollars was invested in low

0:13:09.360 --> 0:13:12.120
<v Speaker 8>carbon energy transition in twenty twenty two. So for every

0:13:12.120 --> 0:13:15.599
<v Speaker 8>gigaton of CO two that was generated from energy and transportation,

0:13:15.920 --> 0:13:19.199
<v Speaker 8>there's fifty one billion spent for low carbon transition in

0:13:19.240 --> 0:13:23.280
<v Speaker 8>twenty twenty two. At the same period, the transition to

0:13:23.400 --> 0:13:27.240
<v Speaker 8>cleaner and more efficient agriculture got two billion dollars of

0:13:27.280 --> 0:13:31.360
<v Speaker 8>investment for every gig aton, so twenty five time difference.

0:13:31.920 --> 0:13:35.560
<v Speaker 8>And so are we moving, Yes, we're moving, and yes

0:13:35.640 --> 0:13:38.000
<v Speaker 8>there's a lot of innovation, there's a lot of excitement,

0:13:38.280 --> 0:13:41.280
<v Speaker 8>but what is very clear is we're not moving as

0:13:41.360 --> 0:13:44.600
<v Speaker 8>quickly and as aggressively enough as we really need to.

0:13:44.720 --> 0:13:47.520
<v Speaker 8>When you think about how substantial the food and agriculture

0:13:47.720 --> 0:13:51.280
<v Speaker 8>ecosystem is for the entirety of the global population.

0:13:51.360 --> 0:13:53.480
<v Speaker 4>Irving take a step back and talk to us more

0:13:53.480 --> 0:13:57.720
<v Speaker 4>specifically about Bowery Farming and specifically what your company does.

0:13:58.679 --> 0:14:03.480
<v Speaker 8>Absolutely so, our belief at Bowery is that wherever food

0:14:03.520 --> 0:14:06.080
<v Speaker 8>is needed, we can grow it, and we do that

0:14:06.160 --> 0:14:11.240
<v Speaker 8>by growing in warehouse scale smart growing environments. We stack

0:14:11.280 --> 0:14:13.520
<v Speaker 8>our crops from the floor all the way up to

0:14:13.600 --> 0:14:17.559
<v Speaker 8>the ceiling. We grow under lights that mimic the spectrum

0:14:17.559 --> 0:14:20.440
<v Speaker 8>of the sun, and we grow in a totally controlled

0:14:20.480 --> 0:14:23.280
<v Speaker 8>and contained environment, so we can grow three hundred and

0:14:23.280 --> 0:14:26.640
<v Speaker 8>sixty five days of the year, independent of weather, independent

0:14:26.640 --> 0:14:30.720
<v Speaker 8>of seasonality, so it's reliable, consistent supply of pure produce

0:14:31.240 --> 0:14:35.240
<v Speaker 8>year round. On top of it, we grow completely pesticide

0:14:35.280 --> 0:14:38.880
<v Speaker 8>free and agrochemical free food. And whereas in the field

0:14:38.920 --> 0:14:42.760
<v Speaker 8>that not only hurts your quality and productivity in our case.

0:14:42.920 --> 0:14:45.800
<v Speaker 8>First of all, our produce is really the purest expression

0:14:45.840 --> 0:14:48.400
<v Speaker 8>of what you would imagine came out of your grandmother's garden,

0:14:48.960 --> 0:14:51.920
<v Speaker 8>and it's one hundred times more productive than a square

0:14:51.960 --> 0:14:55.880
<v Speaker 8>foot of farmland, all the while using a very small

0:14:55.920 --> 0:14:57.960
<v Speaker 8>fraction of water compared to traditional.

0:14:57.680 --> 0:15:02.640
<v Speaker 2>Agriculture packed on the environment, the footprint much smaller. Forgive

0:15:02.680 --> 0:15:06.000
<v Speaker 2>me for interrupting, but so absolutely, how does it compare.

0:15:06.000 --> 0:15:08.280
<v Speaker 2>I'm just thinking for people who are listening, how does

0:15:08.280 --> 0:15:11.040
<v Speaker 2>it compare from traditional in terms of the impact.

0:15:11.640 --> 0:15:16.000
<v Speaker 8>It is fractional, so ninety percent plus less water than

0:15:16.040 --> 0:15:22.200
<v Speaker 8>traditional farming, uses no pesticides, no herbicides, no fungicides, no insecticides.

0:15:22.880 --> 0:15:26.880
<v Speaker 8>And there's even more benefits beyond this, because number one,

0:15:27.000 --> 0:15:30.160
<v Speaker 8>we locate our farms close to the actual points of consumption,

0:15:30.360 --> 0:15:33.600
<v Speaker 8>so our product is harvested and delivered within twenty four

0:15:33.640 --> 0:15:36.560
<v Speaker 8>to thirty six hours versus weeks of time in the

0:15:36.600 --> 0:15:40.960
<v Speaker 8>traditional agricultural supply chain, and oftentimes even months. That means

0:15:41.000 --> 0:15:43.920
<v Speaker 8>you're wasting less food, it's fresher when it shows up,

0:15:43.960 --> 0:15:47.440
<v Speaker 8>and it's more nutritious. You also are reducing all the

0:15:47.480 --> 0:15:51.920
<v Speaker 8>transportation miles that are required in today's existing supply chain.

0:15:52.040 --> 0:15:54.760
<v Speaker 8>So in many respects, what we are doing is actually

0:15:54.800 --> 0:15:57.320
<v Speaker 8>reinventing the fresh food supply chain, and we're building a

0:15:57.360 --> 0:16:01.840
<v Speaker 8>supply chain it's simpler, it's safe, it has much more

0:16:01.880 --> 0:16:04.440
<v Speaker 8>surety of supply, and it's a lot more sustainable than

0:16:04.520 --> 0:16:05.640
<v Speaker 8>the existing system today.

0:16:05.880 --> 0:16:09.520
<v Speaker 4>How does this exactly reshape the food patterns if we're

0:16:09.520 --> 0:16:12.560
<v Speaker 4>talking about either gen Z or millennials.

0:16:14.200 --> 0:16:16.600
<v Speaker 8>In a number of ways. I think this is meeting

0:16:16.640 --> 0:16:19.160
<v Speaker 8>consumers where they are and what they're looking for. So

0:16:19.240 --> 0:16:22.360
<v Speaker 8>Number one, what allows us to do what we do

0:16:22.400 --> 0:16:25.720
<v Speaker 8>at Ballery is leveraging an enormous amount of technological innovation

0:16:25.800 --> 0:16:28.320
<v Speaker 8>that's occurred over the last decade or so. We certainly

0:16:28.440 --> 0:16:32.480
<v Speaker 8>leverage improvements in lighting and LEDs, but it's also leveraging

0:16:32.600 --> 0:16:38.000
<v Speaker 8>artificial intelligence, computer vision, software, center and control systems, automation

0:16:38.120 --> 0:16:42.440
<v Speaker 8>and robotics. It forms the intelligence layer across our farm

0:16:42.720 --> 0:16:46.040
<v Speaker 8>and allows us to automate the entire process from when

0:16:46.080 --> 0:16:48.200
<v Speaker 8>we plant the seed to when we harvest the product

0:16:48.200 --> 0:16:51.320
<v Speaker 8>and put it into a package. And the reason that's

0:16:51.360 --> 0:16:53.960
<v Speaker 8>important is it both allows us to be more sustainable,

0:16:54.000 --> 0:16:56.960
<v Speaker 8>it allows the product to be safer, and it's using

0:16:57.120 --> 0:17:00.720
<v Speaker 8>technology and smart and effective ways to produce a more

0:17:00.720 --> 0:17:04.399
<v Speaker 8>sustainable system that we sell a product today at or

0:17:04.400 --> 0:17:07.879
<v Speaker 8>below the cost of field grown organic and so consumers

0:17:07.920 --> 0:17:11.760
<v Speaker 8>are looking for that sustainable solution. They're looking for technological

0:17:11.840 --> 0:17:15.520
<v Speaker 8>solutions to age old problems and systems that we've lived in.

0:17:15.840 --> 0:17:18.800
<v Speaker 8>But they don't want those solutions to cause them to

0:17:18.840 --> 0:17:22.359
<v Speaker 8>have to bend their lifestyles an excessive amount. And that's

0:17:22.400 --> 0:17:25.840
<v Speaker 8>where and how we can use technology effectively to deliver

0:17:25.880 --> 0:17:27.480
<v Speaker 8>the solution. We do about and cost.

0:17:27.560 --> 0:17:30.320
<v Speaker 2>Remind us about cost differentials between what you guys are

0:17:30.320 --> 0:17:32.480
<v Speaker 2>doing and what kind of the rest of the are

0:17:32.560 --> 0:17:33.960
<v Speaker 2>much of the ag space is doing.

0:17:34.359 --> 0:17:36.840
<v Speaker 8>We are selling at or below the cost of field

0:17:36.840 --> 0:17:40.000
<v Speaker 8>grown organic products today, and we sell across We are

0:17:40.040 --> 0:17:42.400
<v Speaker 8>the largest into vertical farming company in the US now

0:17:42.440 --> 0:17:45.800
<v Speaker 8>eighteen hundred plus retail doors. We work with Amazon and

0:17:45.840 --> 0:17:48.520
<v Speaker 8>Whole Foods and Walmart and safe Way, Albertson's, and I'll

0:17:48.520 --> 0:17:51.880
<v Speaker 8>hold so many of the grocery stores that you all

0:17:52.119 --> 0:17:52.760
<v Speaker 8>shop and.

0:17:52.720 --> 0:17:54.760
<v Speaker 2>Know and Irving. I know I've had the benefit of

0:17:54.840 --> 0:17:57.240
<v Speaker 2>talking with you earlier this year at this incredible dinner

0:17:57.240 --> 0:17:59.679
<v Speaker 2>that you and your team hosted and you brought together

0:18:00.520 --> 0:18:02.560
<v Speaker 2>you know, people from different walks of life, I feel like,

0:18:03.320 --> 0:18:05.640
<v Speaker 2>and it was just a really rich conversation about what's

0:18:05.680 --> 0:18:08.480
<v Speaker 2>going on in terms of food, food production and how

0:18:08.480 --> 0:18:10.840
<v Speaker 2>we think about wellness and the importance of food production

0:18:11.000 --> 0:18:12.080
<v Speaker 2>in our wellness.

0:18:12.880 --> 0:18:14.640
<v Speaker 3>So when you think about.

0:18:14.440 --> 0:18:16.480
<v Speaker 2>What's going on in the food space, it's going to

0:18:16.560 --> 0:18:19.320
<v Speaker 2>require a lot of parties right in order to get

0:18:19.359 --> 0:18:19.760
<v Speaker 2>it right.

0:18:21.400 --> 0:18:26.200
<v Speaker 8>Absolutely, And you know, like any large scale system that's

0:18:26.280 --> 0:18:29.840
<v Speaker 8>global in nature and that in essence touches every person

0:18:29.920 --> 0:18:34.040
<v Speaker 8>on the planet, the notion that there's a single silver bullet,

0:18:34.119 --> 0:18:37.040
<v Speaker 8>a single industry, you know, let alone a single company,

0:18:38.000 --> 0:18:40.800
<v Speaker 8>is of course false and would never be the case.

0:18:40.840 --> 0:18:44.600
<v Speaker 8>And so again not the point to the energy decarbonization

0:18:44.760 --> 0:18:48.280
<v Speaker 8>and transition. But there are so many different companies and

0:18:48.359 --> 0:18:52.679
<v Speaker 8>approaches that we're seeing play out in that space. And similarly,

0:18:52.880 --> 0:18:57.000
<v Speaker 8>we are going to need many different ways to approach

0:18:57.000 --> 0:18:59.639
<v Speaker 8>the new agricultural ecosystem. We're going to need lots of

0:18:59.680 --> 0:19:02.600
<v Speaker 8>different solutions, and we're gonna need to look at every

0:19:02.720 --> 0:19:06.000
<v Speaker 8>aspect of the agricultural ecosystem as well. And you know,

0:19:06.760 --> 0:19:09.760
<v Speaker 8>we're talking today about farming and fresh food production, but

0:19:10.400 --> 0:19:14.440
<v Speaker 8>equally we have to look very closely at animal agriculture

0:19:14.760 --> 0:19:17.719
<v Speaker 8>and how that is transpiring and taking place. We need

0:19:17.760 --> 0:19:20.920
<v Speaker 8>to look at food waste in general and how that's handled.

0:19:21.280 --> 0:19:24.399
<v Speaker 8>We need to look at developing countries across the world

0:19:24.480 --> 0:19:28.879
<v Speaker 8>and the way they're farming, their actual availability of not

0:19:28.920 --> 0:19:34.080
<v Speaker 8>only capital but actual tools, and the types of understanding

0:19:34.119 --> 0:19:37.600
<v Speaker 8>that we have and the access to equipment and to

0:19:37.640 --> 0:19:39.800
<v Speaker 8>inputs and things that we have in the developing world

0:19:39.840 --> 0:19:42.280
<v Speaker 8>that they may not have access to which can raise yields.

0:19:42.680 --> 0:19:46.439
<v Speaker 8>It is a large scale problem that will need many people,

0:19:46.760 --> 0:19:49.600
<v Speaker 8>lots of capital and a lot a lot of focus

0:19:49.600 --> 0:19:50.800
<v Speaker 8>and attention in the coming decades.

0:19:50.840 --> 0:19:51.400
<v Speaker 5>Well, and what I.

0:19:51.359 --> 0:19:52.840
<v Speaker 2>Wonder too, and I think this came up at the

0:19:53.240 --> 0:19:55.520
<v Speaker 2>dinner that you guys hosted, is that when we talked

0:19:55.520 --> 0:19:59.760
<v Speaker 2>about plant based proteins which haven't necessarily lived up to

0:19:59.800 --> 0:20:01.840
<v Speaker 2>what thought they were going to be and they're ten years,

0:20:01.960 --> 0:20:06.399
<v Speaker 2>you know, right old and counting whether it's beyond impossible

0:20:06.400 --> 0:20:08.640
<v Speaker 2>and a lot of other players. Everybody was so excited,

0:20:09.400 --> 0:20:12.000
<v Speaker 2>but it hasn't quite worked out how we thought. Is

0:20:12.040 --> 0:20:15.240
<v Speaker 2>there going to still be you know, a really important

0:20:15.320 --> 0:20:18.760
<v Speaker 2>role for plant based protein in your view, because I

0:20:18.800 --> 0:20:21.080
<v Speaker 2>know you reach out and really are looking at things

0:20:21.160 --> 0:20:22.000
<v Speaker 2>on a bigger level.

0:20:23.000 --> 0:20:26.720
<v Speaker 8>So you know, I don't in some ways there was

0:20:27.240 --> 0:20:31.199
<v Speaker 8>a structural disadvantage that plant based protein had, and you

0:20:31.240 --> 0:20:33.680
<v Speaker 8>could argue whether or not they created this on their own,

0:20:33.720 --> 0:20:36.919
<v Speaker 8>but this notion that they themselves and the set of

0:20:36.920 --> 0:20:39.560
<v Speaker 8>companies were going to be able to displace the entirety

0:20:39.640 --> 0:20:43.159
<v Speaker 8>or even a huge portion of the traditional meat industry,

0:20:43.760 --> 0:20:46.800
<v Speaker 8>that's a really tall task. That's difficult, and more importantly,

0:20:47.200 --> 0:20:50.000
<v Speaker 8>is it possible. Absolutely, But something like that will take

0:20:50.080 --> 0:20:53.919
<v Speaker 8>time no matter what. And so what plant based proteins

0:20:54.040 --> 0:20:56.960
<v Speaker 8>absolutely have been able to do is they've shined the

0:20:57.040 --> 0:21:00.719
<v Speaker 8>light and they've brought into the forefront the conversation about

0:21:00.960 --> 0:21:04.880
<v Speaker 8>how animal agriculture is affecting the planet, how it's affecting

0:21:04.920 --> 0:21:07.800
<v Speaker 8>our health. I mean, we spoke about this at that dinner.

0:21:07.840 --> 0:21:12.560
<v Speaker 8>But the calorie calculation is about ten calories in for

0:21:12.720 --> 0:21:15.560
<v Speaker 8>one calorie out when it comes to meat. So if

0:21:15.600 --> 0:21:18.000
<v Speaker 8>I said to you, Carol, hey, listen, I'm going to

0:21:18.040 --> 0:21:20.360
<v Speaker 8>give you a dollar and you give me ten dollars,

0:21:20.400 --> 0:21:21.960
<v Speaker 8>I think that that would not be a trade that

0:21:22.000 --> 0:21:25.000
<v Speaker 8>you would want to make. And that is essentially our

0:21:25.080 --> 0:21:28.400
<v Speaker 8>current trade in the industrial agriculture system when it comes

0:21:28.440 --> 0:21:32.000
<v Speaker 8>to meat, and plant based proteins are helping people realize

0:21:32.040 --> 0:21:34.680
<v Speaker 8>whether it's animal welfare, whether it's the environmental impact, and

0:21:34.720 --> 0:21:37.119
<v Speaker 8>it's not just the animals themselves, it's all of the

0:21:37.200 --> 0:21:40.080
<v Speaker 8>crops that we have to grow to feed the animals,

0:21:40.280 --> 0:21:41.919
<v Speaker 8>many of which we grow in this country and we

0:21:42.000 --> 0:21:46.360
<v Speaker 8>end up sending overseas to support ecosystems in other countries

0:21:46.400 --> 0:21:49.360
<v Speaker 8>and other regions. There are better ways to do this.

0:21:49.760 --> 0:21:52.119
<v Speaker 8>Plant based proteins are shining a light on it. And

0:21:52.160 --> 0:21:54.639
<v Speaker 8>what you're going to see now, in my view, is

0:21:55.040 --> 0:21:59.760
<v Speaker 8>cell based agriculture is really beginning to grow. It's beginning

0:21:59.800 --> 0:22:02.359
<v Speaker 8>to take shape. It's very early stages, but it's the

0:22:02.400 --> 0:22:07.000
<v Speaker 8>ability to essentially grow animal protein in a laboratory that

0:22:07.880 --> 0:22:11.040
<v Speaker 8>is in many ways indistinguishable from an actual animal protein

0:22:11.040 --> 0:22:13.800
<v Speaker 8>that comes from an animal. It just has a fractional

0:22:13.880 --> 0:22:18.480
<v Speaker 8>environmental footprint and actually doesn't require the land, the feed

0:22:18.600 --> 0:22:22.040
<v Speaker 8>and everything else that we need today. Is this a

0:22:22.200 --> 0:22:25.960
<v Speaker 8>next year's solution, right? Absolutely not, but this is coming

0:22:26.200 --> 0:22:27.240
<v Speaker 8>absolutely irving.

0:22:27.320 --> 0:22:29.840
<v Speaker 2>Having said that, then do you envision a world and

0:22:29.840 --> 0:22:31.960
<v Speaker 2>I don't know whether it's five years, ten years, twenty years,

0:22:32.200 --> 0:22:36.800
<v Speaker 2>where most of our food is produced inside in labs

0:22:37.520 --> 0:22:41.720
<v Speaker 2>in you know, gardens like you guys have hydroponic inside

0:22:41.760 --> 0:22:45.199
<v Speaker 2>because climate change is unstable and in terms of just

0:22:45.680 --> 0:22:49.200
<v Speaker 2>productivity demands that we're going to have to be you know,

0:22:49.359 --> 0:22:51.400
<v Speaker 2>making everything kind of inside.

0:22:52.520 --> 0:22:54.960
<v Speaker 8>So it's a great question, and I think it's worth

0:22:55.040 --> 0:22:57.040
<v Speaker 8>just taking a step back for a second and realizing

0:22:57.840 --> 0:23:01.280
<v Speaker 8>the problem that we are solving ultimately is that the

0:23:01.320 --> 0:23:04.480
<v Speaker 8>world around us, in particularly our climate, is becoming increasingly

0:23:04.560 --> 0:23:07.960
<v Speaker 8>unreliable and unstable. And all you have to do is

0:23:08.040 --> 0:23:09.639
<v Speaker 8>look at what's happening on the west coast of the

0:23:09.720 --> 0:23:12.760
<v Speaker 8>US right now. We were talking about the twelve hundred

0:23:12.840 --> 0:23:16.480
<v Speaker 8>year mega drought in California and the southwest of the US,

0:23:16.800 --> 0:23:20.560
<v Speaker 8>which still very much is present, had very real impacts

0:23:20.560 --> 0:23:24.000
<v Speaker 8>on agricultural output over the past three years. Now, over

0:23:24.000 --> 0:23:27.080
<v Speaker 8>this winter, we have these atmospheric river events, and we

0:23:27.119 --> 0:23:30.160
<v Speaker 8>have record snowpack in the Sierras, and we've gone from

0:23:30.359 --> 0:23:33.560
<v Speaker 8>heavy drought conditions to enormous flooding in the fields of

0:23:33.560 --> 0:23:36.479
<v Speaker 8>the Central Valley where the majority of our food, our

0:23:36.520 --> 0:23:38.800
<v Speaker 8>fresh food comes from, over the course of the next

0:23:38.800 --> 0:23:43.080
<v Speaker 8>six eight months. It is a different problem and a

0:23:43.160 --> 0:23:45.840
<v Speaker 8>different extreme on the other side of the spectrum, and

0:23:46.040 --> 0:23:49.000
<v Speaker 8>meteorologists and experts in this area say we're not done

0:23:49.000 --> 0:23:51.880
<v Speaker 8>with the drought that will be back, and so this

0:23:52.080 --> 0:23:55.679
<v Speaker 8>increasing amount of unreliable and uncertainty is going to demand

0:23:55.840 --> 0:23:59.760
<v Speaker 8>that we put systems in place that can actually much

0:23:59.800 --> 0:24:03.119
<v Speaker 8>more effectively hedge against that. What we're doing at Bowery

0:24:03.160 --> 0:24:06.720
<v Speaker 8>and indoor agriculture is absolutely important and will be a

0:24:06.880 --> 0:24:10.480
<v Speaker 8>very large part of the agricultural ecosystem moving forward. But

0:24:10.560 --> 0:24:12.760
<v Speaker 8>I would never tell you that all food will be

0:24:12.800 --> 0:24:15.679
<v Speaker 8>grown indoors. It is too large of the industry, it

0:24:15.760 --> 0:24:18.520
<v Speaker 8>is too broad. We're talking about a global industry, a

0:24:18.560 --> 0:24:23.760
<v Speaker 8>global problem, and there is places for outdoor agriculture, indoor agriculture,

0:24:24.000 --> 0:24:28.480
<v Speaker 8>traditional animal proteins, cell based proteins, plant based meat. This

0:24:28.560 --> 0:24:32.119
<v Speaker 8>is a many lead bullets and no silver bullet problem,

0:24:32.200 --> 0:24:32.800
<v Speaker 8>without question.

0:24:33.359 --> 0:24:36.080
<v Speaker 4>So is it easier to do this as a private

0:24:36.160 --> 0:24:39.680
<v Speaker 4>company or is it make more sense to go public.

0:24:41.280 --> 0:24:44.200
<v Speaker 8>I think what's exciting about what we're doing is food

0:24:44.280 --> 0:24:47.560
<v Speaker 8>and the opportunity that we're going after is enormous and

0:24:47.560 --> 0:24:51.159
<v Speaker 8>it's durable and irrespective of what's going on cyclically in

0:24:51.200 --> 0:24:54.159
<v Speaker 8>an economy, people need to eat and this is important.

0:24:54.440 --> 0:24:57.280
<v Speaker 8>And when we look at our opportunity just for crops

0:24:57.280 --> 0:25:00.760
<v Speaker 8>that are good candidates for us at Bowery a trillion

0:25:00.840 --> 0:25:03.399
<v Speaker 8>dollar plus a year global opportunity. So there is an

0:25:03.560 --> 0:25:06.919
<v Speaker 8>enormous amount of to growth. Still, we are fractional compared

0:25:07.119 --> 0:25:09.879
<v Speaker 8>to the opportunity in front of us. And so right now,

0:25:09.960 --> 0:25:13.159
<v Speaker 8>as a private company, investing in innovation, investing in the

0:25:13.200 --> 0:25:16.840
<v Speaker 8>foundational technology that we need to develop to do this

0:25:16.880 --> 0:25:19.800
<v Speaker 8>effectively is the right decision for us. But you can

0:25:19.880 --> 0:25:22.480
<v Speaker 8>absolutely see what we're doing at Bowery as a standalone

0:25:22.520 --> 0:25:23.600
<v Speaker 8>public business. At some point.

0:25:23.640 --> 0:25:24.840
<v Speaker 3>Hey, you know one thing I'm thinking about.

0:25:24.840 --> 0:25:27.280
<v Speaker 2>We're getting ready to head out to Milkin and they are,

0:25:27.600 --> 0:25:30.359
<v Speaker 2>you know, the Milk and Global Institute, their annual big event,

0:25:30.840 --> 0:25:34.119
<v Speaker 2>and it really is this cross section between finance and wellness,

0:25:34.160 --> 0:25:38.960
<v Speaker 2>and they often I've monitored moderated panels out there about

0:25:39.000 --> 0:25:43.560
<v Speaker 2>food and food production in particular. Is the money flowing

0:25:43.680 --> 0:25:45.639
<v Speaker 2>in too where it kind of needs to do to

0:25:45.720 --> 0:25:47.480
<v Speaker 2>get to a food system that we're going to need

0:25:47.480 --> 0:25:50.159
<v Speaker 2>in the future, that is better for the environment, that

0:25:50.280 --> 0:25:53.120
<v Speaker 2>is much more productive and also healthier.

0:25:54.359 --> 0:25:57.040
<v Speaker 8>I think this points to the stat I mentioned earlier.

0:25:57.280 --> 0:26:00.760
<v Speaker 8>Is there money flowing absolutely, But when you think about

0:26:00.760 --> 0:26:04.120
<v Speaker 8>the fact that twenty five times more investment is going

0:26:04.119 --> 0:26:08.399
<v Speaker 8>towards in twenty twenty two energy and transportation decarbonization, and

0:26:08.480 --> 0:26:13.040
<v Speaker 8>yet agriculture is the second large green gas by a

0:26:13.280 --> 0:26:17.680
<v Speaker 8>very not far behind that twenty five times delta. To me,

0:26:17.960 --> 0:26:22.560
<v Speaker 8>doesn't speak to a recognition and acknowledgment of the urgency

0:26:22.960 --> 0:26:25.560
<v Speaker 8>and size of the opportunity in front of us.

0:26:25.600 --> 0:26:27.880
<v Speaker 2>What's holding it back thirty seconds? Serving do we need,

0:26:27.880 --> 0:26:29.680
<v Speaker 2>like an Elon musk to just kind of rip off

0:26:29.680 --> 0:26:30.240
<v Speaker 2>the band aid?

0:26:30.240 --> 0:26:30.920
<v Speaker 3>What do we need?

0:26:32.800 --> 0:26:36.240
<v Speaker 8>Strangely, we all interact with the food system every single

0:26:36.280 --> 0:26:40.199
<v Speaker 8>day of our lives. Yet I'm often amazed it just

0:26:40.240 --> 0:26:43.840
<v Speaker 8>people don't know a lot about what's underneath the products buy.

0:26:43.920 --> 0:26:45.920
<v Speaker 8>We go into the grocery store, we pick something off

0:26:45.920 --> 0:26:48.280
<v Speaker 8>the shelf. I mean, you think about early COVID, when

0:26:48.280 --> 0:26:50.320
<v Speaker 8>we were all shocked that our grocery store shelves are

0:26:50.320 --> 0:26:52.720
<v Speaker 8>empty because we'd taken for granted that when we needed

0:26:52.720 --> 0:26:55.040
<v Speaker 8>a product that would be there. But in fact, it's

0:26:55.080 --> 0:26:58.359
<v Speaker 8>this long, complicated global supply chain that allows that to

0:26:58.400 --> 0:27:01.960
<v Speaker 8>be a reality. And people are beginning to understand really

0:27:02.000 --> 0:27:04.760
<v Speaker 8>what allows our food system and our agricultural ecosystem to

0:27:04.840 --> 0:27:08.240
<v Speaker 8>exist in the way that it does. But increased knowledge

0:27:08.280 --> 0:27:11.840
<v Speaker 8>and increased awareness and increased understanding will only lead to

0:27:12.240 --> 0:27:16.800
<v Speaker 8>more investment, more entrepreneurs focusing problem and the returns are there.

0:27:17.119 --> 0:27:17.840
<v Speaker 8>It's about that.

0:27:17.960 --> 0:27:19.720
<v Speaker 2>Well, so glad we got to catch up and I

0:27:19.760 --> 0:27:22.560
<v Speaker 2>look forward to next time already Irving Fain, Founder and

0:27:22.640 --> 0:27:26.040
<v Speaker 2>chief executive Officer Barry Farming joining us via zoom from

0:27:26.119 --> 0:27:26.879
<v Speaker 2>New York City.

0:27:28.600 --> 0:27:32.200
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:27:32.240 --> 0:27:36.240
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:27:36.440 --> 0:27:39.720
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:27:39.800 --> 0:27:42.920
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:27:43.359 --> 0:27:47.800
<v Speaker 1>Just say Alexa, play Bloomberg eleven thirty.

0:27:47.680 --> 0:27:50.920
<v Speaker 2>Here's some data points for everybody. According to the latest estimates,

0:27:51.160 --> 0:27:54.000
<v Speaker 2>nearly three hundred and twenty nine million terabytes of data

0:27:54.080 --> 0:27:57.720
<v Speaker 2>are created each day. It's a lot, and no doubt

0:27:57.760 --> 0:28:00.000
<v Speaker 2>about it, Chess. We're living in a data centric world.

0:28:00.240 --> 0:28:00.880
<v Speaker 3>We get that.

0:28:00.920 --> 0:28:04.360
<v Speaker 2>We talk about it constantly. We talk about retail using it,

0:28:04.440 --> 0:28:07.440
<v Speaker 2>you know, to learn more about us and our buying habits.

0:28:07.520 --> 0:28:09.959
<v Speaker 2>We talk about, you know, all the search giants they

0:28:10.040 --> 0:28:11.880
<v Speaker 2>use it in terms of advertising, right it is kind

0:28:11.880 --> 0:28:13.080
<v Speaker 2>of everywhere.

0:28:12.760 --> 0:28:15.480
<v Speaker 4>It does, it follows us and obviously are different types

0:28:15.480 --> 0:28:18.600
<v Speaker 4>of patterns, so you can't really escape it at this point, Carol.

0:28:18.840 --> 0:28:20.920
<v Speaker 2>No, and it can be put to really good use

0:28:20.920 --> 0:28:22.840
<v Speaker 2>when it comes to maybe creating better software.

0:28:22.840 --> 0:28:23.440
<v Speaker 5>And we know that.

0:28:23.480 --> 0:28:25.640
<v Speaker 2>And so that's where our next guest comes in. Whose

0:28:25.640 --> 0:28:28.520
<v Speaker 2>company just raised fifty million in a series dfunding. So

0:28:28.600 --> 0:28:30.760
<v Speaker 2>let's get to it. Christine Yan is co founder and

0:28:30.840 --> 0:28:34.600
<v Speaker 2>CEO of Honeycomb. She joins us via zoom from Rena Reno.

0:28:34.720 --> 0:28:37.760
<v Speaker 2>Excuse me, Reno, Nevada. I always say Nevada wrong, and

0:28:37.800 --> 0:28:40.360
<v Speaker 2>I always have all my friends Christine yelling at me like,

0:28:40.440 --> 0:28:42.440
<v Speaker 2>don't you know how to say it? And so instead

0:28:42.480 --> 0:28:44.959
<v Speaker 2>I scribed Reno, Reno, Reno. I can't believe that.

0:28:45.640 --> 0:28:47.000
<v Speaker 3>Welcome, Welcome, How are you?

0:28:48.120 --> 0:28:49.520
<v Speaker 9>I'm excellent, happy Monday?

0:28:49.560 --> 0:28:52.960
<v Speaker 2>How are you happy Monday? I'm doing okay too. Tell

0:28:53.040 --> 0:28:55.280
<v Speaker 2>us about your company and how like kind of tapping

0:28:55.280 --> 0:28:58.680
<v Speaker 2>into your time at Facebook specifically maybe helped you create

0:28:58.840 --> 0:29:01.200
<v Speaker 2>I feel like almost a face book for tech engineers

0:29:01.200 --> 0:29:04.000
<v Speaker 2>to kind of work together and create better code.

0:29:04.080 --> 0:29:05.160
<v Speaker 3>So talk to us about it.

0:29:06.160 --> 0:29:08.600
<v Speaker 9>Yeah, in a nutshell, my co founder and I met

0:29:08.720 --> 0:29:13.239
<v Speaker 9>actually had a company before Facebook, and we were, you know,

0:29:13.360 --> 0:29:17.000
<v Speaker 9>two engineers on opposite sides of sort of the spectrum

0:29:17.040 --> 0:29:19.360
<v Speaker 9>of engineering, if that makes sense. She was very focused

0:29:19.360 --> 0:29:22.560
<v Speaker 9>on back end infrastructure. I was building our analytics product.

0:29:23.120 --> 0:29:28.480
<v Speaker 9>And you know, this company that we were employees at,

0:29:29.000 --> 0:29:32.120
<v Speaker 9>we're building this very complex software system. We beating the

0:29:32.120 --> 0:29:35.600
<v Speaker 9>engineer supporting that had to all the time figure out

0:29:35.640 --> 0:29:37.760
<v Speaker 9>what was going on, why our software was not behaving

0:29:37.760 --> 0:29:41.520
<v Speaker 9>the way that we expected. And you know, when when

0:29:41.560 --> 0:29:44.920
<v Speaker 9>smaller companies get up by bigger companies, it's coming for

0:29:44.920 --> 0:29:47.360
<v Speaker 9>the bigger company to push all the big company tools

0:29:47.360 --> 0:29:49.240
<v Speaker 9>on a smaller company and say here, here are the

0:29:49.240 --> 0:29:53.040
<v Speaker 9>big kid toys. And for the most part, we were

0:29:53.120 --> 0:29:56.400
<v Speaker 9>skeptical that, you know, Facebook built for Facebook would make

0:29:56.440 --> 0:30:00.520
<v Speaker 9>sense for our system. But there was one and this

0:30:00.600 --> 0:30:05.480
<v Speaker 9>one tool that sort of shed all of the typical

0:30:05.520 --> 0:30:07.920
<v Speaker 9>patterns that we'd seen in how tools can work with

0:30:07.960 --> 0:30:10.360
<v Speaker 9>data to help engineering teams make sense of why is

0:30:10.400 --> 0:30:15.520
<v Speaker 9>the software misbehaving? And despite being skeptics to begin with,

0:30:16.280 --> 0:30:20.920
<v Speaker 9>we found that this internal tool changed changed how we

0:30:20.960 --> 0:30:23.760
<v Speaker 9>thought about software, changed how we thought about what it

0:30:23.800 --> 0:30:26.560
<v Speaker 9>meant for code to go life, and when each of

0:30:26.640 --> 0:30:29.920
<v Speaker 9>us were thinking about leaving Facebook. You know, we both

0:30:29.960 --> 0:30:31.800
<v Speaker 9>had the thought of I don't want to have to

0:30:31.960 --> 0:30:36.040
<v Speaker 9>do that thing again without this internal tool. And so

0:30:36.120 --> 0:30:38.200
<v Speaker 9>really what brought us together is wanting to bring this

0:30:38.280 --> 0:30:43.680
<v Speaker 9>tool to the masses through the lens of folks who

0:30:43.680 --> 0:30:45.160
<v Speaker 9>are skeptical about it to begin with.

0:30:45.560 --> 0:30:47.520
<v Speaker 3>So how does the tool actually work.

0:30:48.800 --> 0:30:49.040
<v Speaker 5>Well?

0:30:49.400 --> 0:30:51.560
<v Speaker 9>With any of these data tools, we take in massive

0:30:51.560 --> 0:30:54.560
<v Speaker 9>amounts of data and really effect in the end we

0:30:54.640 --> 0:30:58.120
<v Speaker 9>allow users to ask questions of that data. What's special

0:30:58.120 --> 0:31:01.800
<v Speaker 9>about this particular UH this problem space, and then I'll

0:31:01.840 --> 0:31:02.520
<v Speaker 9>talk about the tool.

0:31:03.160 --> 0:31:03.800
<v Speaker 5>Is that.

0:31:05.480 --> 0:31:07.840
<v Speaker 9>Some of the examples of data use that you described

0:31:07.840 --> 0:31:10.760
<v Speaker 9>and the lead into this segment are all you know,

0:31:10.960 --> 0:31:13.880
<v Speaker 9>on the business side, they are all assuming that the

0:31:13.920 --> 0:31:16.080
<v Speaker 9>software is doing what the software does, that if you

0:31:16.120 --> 0:31:19.160
<v Speaker 9>click check out on your shopping cart, that you actually,

0:31:19.600 --> 0:31:21.520
<v Speaker 9>you know, you're able to check out with that item.

0:31:21.800 --> 0:31:25.520
<v Speaker 9>Our software UH is intended more for the software engineering

0:31:25.560 --> 0:31:28.200
<v Speaker 9>teams who are on the hook when you click check

0:31:28.200 --> 0:31:31.240
<v Speaker 9>out and you can't actually check out with your with

0:31:31.280 --> 0:31:35.520
<v Speaker 9>your purchase. When that happens, the engineering teams go, oh, no,

0:31:36.680 --> 0:31:40.120
<v Speaker 9>you know, what assumptions do we make that we're wrong?

0:31:40.720 --> 0:31:44.040
<v Speaker 9>Do we have a logical error somewhere, is the person

0:31:44.440 --> 0:31:45.960
<v Speaker 9>is the you know, is it not actually a person

0:31:46.040 --> 0:31:46.600
<v Speaker 9>clicking checkout?

0:31:46.680 --> 0:31:47.200
<v Speaker 5>Is it a bot?

0:31:47.400 --> 0:31:48.080
<v Speaker 6>It should should?

0:31:48.440 --> 0:31:51.760
<v Speaker 9>Is it behaving correctly and not letting the bot check out?

0:31:52.440 --> 0:31:56.880
<v Speaker 9>All of these questions rely on a massive amount of

0:31:56.920 --> 0:32:01.000
<v Speaker 9>data as you touched on, but really that really quick

0:32:01.080 --> 0:32:05.000
<v Speaker 9>response times. You know, if your e commerce site not

0:32:05.040 --> 0:32:07.520
<v Speaker 9>able to let your customers check out, those are real

0:32:07.560 --> 0:32:12.240
<v Speaker 9>dollars flying out the window and speed really really matters.

0:32:13.560 --> 0:32:17.680
<v Speaker 2>So this tool brings people together, engineers specifically, right too, Okay,

0:32:17.840 --> 0:32:19.880
<v Speaker 2>there's a bug or something or I can't check out.

0:32:19.920 --> 0:32:21.480
<v Speaker 2>Oh my god, Carol's got to be really ticked off,

0:32:21.480 --> 0:32:23.040
<v Speaker 2>but we got to fix this, you know what I mean? Like,

0:32:23.400 --> 0:32:25.560
<v Speaker 2>So that's what your tool does.

0:32:25.480 --> 0:32:28.840
<v Speaker 9>Right exactly exactly, And what.

0:32:28.800 --> 0:32:31.920
<v Speaker 4>Does this mean exactly for the growth in your business?

0:32:31.960 --> 0:32:33.560
<v Speaker 4>How's it spurred more of that?

0:32:35.320 --> 0:32:35.640
<v Speaker 3>Well?

0:32:35.920 --> 0:32:37.960
<v Speaker 9>One of the things that seems to always be true

0:32:37.960 --> 0:32:40.840
<v Speaker 9>with engineers is we want to build bigger and better things,

0:32:41.440 --> 0:32:43.160
<v Speaker 9>and as new technologies come out, we want to play

0:32:43.160 --> 0:32:47.240
<v Speaker 9>with these new technologies. And many of the recent changes

0:32:47.320 --> 0:32:50.240
<v Speaker 9>in this in our software space have made the systems

0:32:50.240 --> 0:32:53.280
<v Speaker 9>that we've built more complicated. And when when the building

0:32:53.320 --> 0:32:56.320
<v Speaker 9>blocks that you're using are more complicated. The tools that

0:32:56.360 --> 0:32:59.120
<v Speaker 9>you use like Honeycomb to make sense of are these

0:32:59.160 --> 0:33:02.360
<v Speaker 9>building blocks put together in the right way? Also need

0:33:02.440 --> 0:33:05.880
<v Speaker 9>to need to be also more flexible to manage that complexity.

0:33:06.320 --> 0:33:09.000
<v Speaker 9>And so, you know, we've all seen the world as

0:33:09.040 --> 0:33:13.160
<v Speaker 9>moving online as consumer, I know my expectations of you know,

0:33:13.160 --> 0:33:16.240
<v Speaker 9>how fast and reliable a piece of software have increased.

0:33:16.880 --> 0:33:19.120
<v Speaker 9>That shifts a lot of the expectations onto these engineering

0:33:19.160 --> 0:33:21.920
<v Speaker 9>teams that need to ensure that their software is behaving

0:33:22.480 --> 0:33:26.200
<v Speaker 9>in the face of all this increased complexity and increased expectation.

0:33:26.320 --> 0:33:29.640
<v Speaker 2>Christine, you guys shared some numbers. Momentum in twenty twenty

0:33:29.640 --> 0:33:32.760
<v Speaker 2>two achieved another consecutive year of two times revenue growth,

0:33:32.920 --> 0:33:35.360
<v Speaker 2>drove over one hundred and sixty percent net revenue retention

0:33:35.720 --> 0:33:40.320
<v Speaker 2>for six hundred plus customers globally. Has Generative AI changed that, like,

0:33:40.440 --> 0:33:44.680
<v Speaker 2>are you even in more demand? Because this is complicated

0:33:44.800 --> 0:33:48.640
<v Speaker 2>stuff and you're going to need those engineers really working together.

0:33:48.680 --> 0:33:52.240
<v Speaker 2>And just got about a minute or so left short answers.

0:33:52.320 --> 0:33:54.320
<v Speaker 9>Yes, I think that we're just on the cusp. We

0:33:54.360 --> 0:33:58.120
<v Speaker 9>haven't seen you know, right now, engineering teams everywhere are

0:33:58.320 --> 0:34:02.200
<v Speaker 9>thinking about how to incorporate generated AI. But absolutely, anytime

0:34:02.520 --> 0:34:05.680
<v Speaker 9>you incorporate a black box into your system, you know

0:34:05.720 --> 0:34:09.160
<v Speaker 9>that the AI is making decisions, engineering teams needed. Are

0:34:09.200 --> 0:34:10.880
<v Speaker 9>the humans are going to be on the hook to

0:34:10.920 --> 0:34:12.960
<v Speaker 9>figure out why they made those decisions and what are

0:34:12.960 --> 0:34:15.400
<v Speaker 9>those are the right things? So absolutely I think that

0:34:15.400 --> 0:34:18.720
<v Speaker 9>this space is only it has only just begun.

0:34:19.360 --> 0:34:23.160
<v Speaker 2>So your space of this observability which I had never

0:34:23.200 --> 0:34:26.839
<v Speaker 2>heard of, this concept, you know, how is that thing

0:34:26.920 --> 0:34:29.120
<v Speaker 2>or not? When you create, you know that is going

0:34:29.160 --> 0:34:31.600
<v Speaker 2>to be something even more important in this more kind

0:34:31.600 --> 0:34:33.839
<v Speaker 2>of complicated AI space. And I'm just curious, does that

0:34:33.880 --> 0:34:36.200
<v Speaker 2>mean you are already seeing more demand for your products?

0:34:36.239 --> 0:34:38.080
<v Speaker 2>And just get about thirty forty seconds.

0:34:38.840 --> 0:34:41.440
<v Speaker 9>I think the demand for our products is correlated with

0:34:41.560 --> 0:34:46.439
<v Speaker 9>just general instant interest in cloud generative AI. Absolutely is increasing,

0:34:47.000 --> 0:34:50.400
<v Speaker 9>you know, cloud commitments and clouds to spend across the board,

0:34:50.719 --> 0:34:54.040
<v Speaker 9>but it's still early and absolutely I think that there's

0:34:54.160 --> 0:34:55.480
<v Speaker 9>a lot of exciting times ahead of us.

0:34:55.560 --> 0:34:55.680
<v Speaker 5>Now.

0:34:55.680 --> 0:34:57.879
<v Speaker 2>It makes sense and in terms of a space where

0:34:57.880 --> 0:35:00.160
<v Speaker 2>these guys can work or these you know, women and

0:35:00.440 --> 0:35:04.759
<v Speaker 2>men everybody kind of work together on a program really

0:35:04.840 --> 0:35:08.440
<v Speaker 2>makes sense. Christine very cool, Christin Yah, Chief executive officer

0:35:08.440 --> 0:35:14.719
<v Speaker 2>co founder of Honeycomb. Joining us from Reno, Nevada by zoom.

0:35:14.760 --> 0:35:19.120
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:35:19.280 --> 0:35:22.840
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:35:22.920 --> 0:35:27.080
<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

0:35:27.120 --> 0:35:32.279
<v Speaker 1>Podcast with Carol Messer and Tim Stenebek from Bloomberg Radio.

0:35:34.520 --> 0:35:37.480
<v Speaker 7>Bomarcle.

0:35:37.920 --> 0:35:40.600
<v Speaker 6>The Journal. Now about you, let me drive?

0:35:41.120 --> 0:35:45.000
<v Speaker 1>No no, no, no, honey, please.

0:35:47.000 --> 0:35:51.320
<v Speaker 6>Wait, I want to drive. It's a good question.

0:35:55.080 --> 0:35:57.680
<v Speaker 7>This is the Drive to the Clothes dot Com.

0:35:58.440 --> 0:36:01.480
<v Speaker 1>Well by around each other down on Bloomberg Radio.

0:36:01.719 --> 0:36:03.640
<v Speaker 2>All right, everybody, just got about eighteen minutes left in

0:36:03.680 --> 0:36:04.960
<v Speaker 2>today's trading session.

0:36:05.080 --> 0:36:05.880
<v Speaker 3>We've got stocks hit.

0:36:05.920 --> 0:36:07.680
<v Speaker 2>We're in the green, so we're off our worst levels

0:36:07.680 --> 0:36:09.400
<v Speaker 2>of the session, as you just heard from Charlie. But

0:36:10.239 --> 0:36:12.520
<v Speaker 2>just call it a little changed on the day. We

0:36:12.560 --> 0:36:14.799
<v Speaker 2>really are just getting into the thick of earnings and

0:36:15.000 --> 0:36:18.200
<v Speaker 2>trying to make sense and just on guard about any

0:36:18.239 --> 0:36:19.800
<v Speaker 2>other problems in the banking sector.

0:36:19.960 --> 0:36:22.720
<v Speaker 3>So, I mean, Jess, volume, what's volume like today?

0:36:22.880 --> 0:36:25.080
<v Speaker 4>I mean, still it's not as high as you would

0:36:25.120 --> 0:36:27.399
<v Speaker 4>think relative to the last twenty days, and I think

0:36:27.440 --> 0:36:28.879
<v Speaker 4>a lot of that is just the same things we've

0:36:28.880 --> 0:36:32.040
<v Speaker 4>been talking about, Carol waiting on those more regional banks.

0:36:32.080 --> 0:36:34.399
<v Speaker 4>Let's say on Thursday we're going to get clear Third

0:36:35.040 --> 0:36:37.200
<v Speaker 4>Key Corp as well US Bank. So I think that's

0:36:37.239 --> 0:36:38.959
<v Speaker 4>really more of the focus leader on this week.

0:36:39.000 --> 0:36:40.640
<v Speaker 2>All right, So let's get to it with our guests.

0:36:40.640 --> 0:36:43.400
<v Speaker 2>Back with us is Doug Cioka, CEO and partner at

0:36:43.440 --> 0:36:46.240
<v Speaker 2>Kavar Capital Partners. They've got over a billion in assets

0:36:46.280 --> 0:36:49.400
<v Speaker 2>under management, based as you know, in Leewood, Kansas and

0:36:49.520 --> 0:36:51.760
<v Speaker 2>joining us on the phone once again actually.

0:36:51.800 --> 0:36:54.520
<v Speaker 3>Via zoom via zoom, Hey we can see you. How

0:36:54.560 --> 0:36:54.880
<v Speaker 3>are you?

0:36:55.960 --> 0:36:57.719
<v Speaker 10>I'm great? How are you do it?

0:36:57.760 --> 0:36:58.120
<v Speaker 3>Okay?

0:36:58.200 --> 0:37:00.640
<v Speaker 2>Trying to keep up with the flow here and trying

0:37:00.680 --> 0:37:02.880
<v Speaker 2>to make sense. You know, it's funny. I wanted to

0:37:02.920 --> 0:37:04.880
<v Speaker 2>kind of kick it off with you, Doug. Earlier with

0:37:04.960 --> 0:37:07.840
<v Speaker 2>Romayne and Scarlett, the four of us were talking about

0:37:07.920 --> 0:37:09.799
<v Speaker 2>and Scarlet brought up what's going on with the VIX

0:37:09.880 --> 0:37:12.640
<v Speaker 2>and it's what below eighteen? I think seventeen and change.

0:37:12.880 --> 0:37:15.839
<v Speaker 2>I don't quite get it. Sixteen ninety seven. Do you

0:37:15.920 --> 0:37:17.760
<v Speaker 2>care about the VIX? Do you think it's a reliable

0:37:17.760 --> 0:37:20.480
<v Speaker 2>indicator of something? Because it just feels like we're in

0:37:20.480 --> 0:37:23.440
<v Speaker 2>this market environment where we're not quite sure what's next,

0:37:23.480 --> 0:37:25.799
<v Speaker 2>and yet there feels like a fair amount of complacency.

0:37:26.520 --> 0:37:28.560
<v Speaker 11>Yeah, and we may have used a little bit of

0:37:29.000 --> 0:37:31.560
<v Speaker 11>maybe pulled forward some of this year's last year, Carol.

0:37:31.600 --> 0:37:33.359
<v Speaker 10>I think last year there were forty.

0:37:33.040 --> 0:37:36.560
<v Speaker 11>Six different trading days with two percent moves up or down,

0:37:37.320 --> 0:37:40.000
<v Speaker 11>and actually it was twenty three and twenty three equally divided,

0:37:40.000 --> 0:37:41.040
<v Speaker 11>which is pretty fantastic.

0:37:41.360 --> 0:37:42.560
<v Speaker 10>And this year I think we've had two.

0:37:43.160 --> 0:37:48.080
<v Speaker 11>So I think we saw so much fitful trading, indecision obviously,

0:37:48.200 --> 0:37:52.080
<v Speaker 11>credit exported equity volatility, and this year, even though you

0:37:52.120 --> 0:37:54.120
<v Speaker 11>know what, the Fed may have one more hike and

0:37:54.160 --> 0:37:56.160
<v Speaker 11>maybe they won't cut as much as the markets and

0:37:56.239 --> 0:37:59.319
<v Speaker 11>pricing in, I think there is a set of a

0:37:59.320 --> 0:38:01.080
<v Speaker 11>bit of complacency that's setting in.

0:38:01.280 --> 0:38:02.000
<v Speaker 10>I think more than.

0:38:01.920 --> 0:38:05.439
<v Speaker 11>Anything, it's just that an exhaustion with the type better

0:38:05.520 --> 0:38:08.520
<v Speaker 11>day training activity that become the norm throughout twenty twenty two.

0:38:08.800 --> 0:38:11.759
<v Speaker 2>Is it exhaustion or is it signs of we're kind

0:38:11.760 --> 0:38:13.680
<v Speaker 2>of finishing up or getting near the end of this

0:38:13.920 --> 0:38:14.680
<v Speaker 2>market cycle.

0:38:15.280 --> 0:38:17.439
<v Speaker 11>Yeah, I think nothing's been as bad as had been

0:38:17.640 --> 0:38:21.120
<v Speaker 11>anticipated going into twenty twenty three, even when you throw

0:38:21.200 --> 0:38:25.759
<v Speaker 11>in the issues that had transpired with the banking mini crisis, right,

0:38:25.800 --> 0:38:28.920
<v Speaker 11>And I think when you saw what had transpired with

0:38:28.960 --> 0:38:33.160
<v Speaker 11>this fear of contagion, that very anxious weekend, weren't sure

0:38:33.239 --> 0:38:35.399
<v Speaker 11>what if any additional deposits are going to be covered

0:38:35.400 --> 0:38:36.600
<v Speaker 11>by the FDIC of the FED.

0:38:37.040 --> 0:38:38.640
<v Speaker 10>And then it just kind of played.

0:38:38.440 --> 0:38:41.080
<v Speaker 11>Itself out and we realized that some of the additional

0:38:41.080 --> 0:38:43.840
<v Speaker 11>liquidity could be a bit of a sav or otherwise

0:38:43.880 --> 0:38:47.040
<v Speaker 11>deeper wounds that could have transpired, even though it may

0:38:47.080 --> 0:38:49.920
<v Speaker 11>have been kind of the sword that caused the affliction

0:38:49.960 --> 0:38:50.440
<v Speaker 11>to begin with.

0:38:50.920 --> 0:38:53.920
<v Speaker 4>Doug, let's talk about earning seasons. We've gotten a number

0:38:53.960 --> 0:38:56.359
<v Speaker 4>of these bigger banks as well as regional banks. Now,

0:38:56.520 --> 0:38:59.680
<v Speaker 4>I know you're thinking more this is obviously more backward looking,

0:38:59.680 --> 0:39:01.680
<v Speaker 4>but you look a year out, earnings growth is supposed

0:39:01.680 --> 0:39:04.759
<v Speaker 4>to be back to double digits. What are you expecting?

0:39:04.840 --> 0:39:06.359
<v Speaker 4>And is that why you might have a little bit

0:39:06.360 --> 0:39:08.480
<v Speaker 4>more of an optimistic look when you are seeing earnings

0:39:08.480 --> 0:39:09.520
<v Speaker 4>improving a year from now.

0:39:10.400 --> 0:39:11.760
<v Speaker 10>Yeah, it's a great question, Jessin.

0:39:11.760 --> 0:39:13.880
<v Speaker 11>I think one of the things that's been so pronounced

0:39:13.880 --> 0:39:16.800
<v Speaker 11>this year and it's only been one quarter, but patience

0:39:16.840 --> 0:39:18.480
<v Speaker 11>has been kind of the enemy of performance.

0:39:18.600 --> 0:39:18.759
<v Speaker 5>Right.

0:39:18.840 --> 0:39:22.760
<v Speaker 11>The valuation gap going into twenty twenty three between international

0:39:22.920 --> 0:39:26.640
<v Speaker 11>and domestic closed very quickly. High tech sector went from

0:39:26.680 --> 0:39:31.040
<v Speaker 11>like incredible laggard to darling leader. The banking issues pulled

0:39:31.040 --> 0:39:32.560
<v Speaker 11>for the bulk of the Bond movie that we'd hope

0:39:32.560 --> 0:39:35.680
<v Speaker 11>we'd see throughout all of twenty twenty three. So when

0:39:35.680 --> 0:39:38.480
<v Speaker 11>you consider what's happening in earnings, we try to overlay

0:39:38.520 --> 0:39:41.520
<v Speaker 11>this whole concept of a rolling recession, right, And that's

0:39:41.560 --> 0:39:46.080
<v Speaker 11>just another way of characterizing right relative value of certain

0:39:46.200 --> 0:39:49.880
<v Speaker 11>sectors based upon a few things correlation with interest rates,

0:39:49.880 --> 0:39:52.719
<v Speaker 11>with underlying economic growth, and with sentiment. So when you're

0:39:52.719 --> 0:39:55.360
<v Speaker 11>an environment for which we think is going to be

0:39:55.440 --> 0:39:59.440
<v Speaker 11>higher for longer interest rates, slowish economic growth, sectors that

0:39:59.600 --> 0:40:05.880
<v Speaker 11>benefit from scale, from inelastic demand, from low leverage from

0:40:06.120 --> 0:40:09.759
<v Speaker 11>multinational distribution networks, those should hold investors' interest, and we're

0:40:09.800 --> 0:40:12.719
<v Speaker 11>starting to see that as they're coming to kind of

0:40:12.719 --> 0:40:17.480
<v Speaker 11>the earnings reporting table in healthcare, staples, communication services, and

0:40:17.520 --> 0:40:20.879
<v Speaker 11>then even outside of those within the royal recession camp,

0:40:21.239 --> 0:40:25.239
<v Speaker 11>you have idiosyncratic sort of tackle opportunities and sectors like

0:40:25.440 --> 0:40:29.040
<v Speaker 11>energy and IT sectors like agriculture, because even those supply

0:40:29.120 --> 0:40:33.160
<v Speaker 11>lines have improved supply hasn't. So we're seeing that an

0:40:33.239 --> 0:40:37.080
<v Speaker 11>overestimation of just how negative kind of the economic client

0:40:37.120 --> 0:40:39.359
<v Speaker 11>twenty twenty two is going to have and impacting their

0:40:39.360 --> 0:40:41.520
<v Speaker 11>profit models and it's just not materialized.

0:40:41.600 --> 0:40:43.360
<v Speaker 2>So is this a market where we can kind of

0:40:43.360 --> 0:40:47.600
<v Speaker 2>make smart decisions, Doug, based on fundamentals versus kind of

0:40:47.600 --> 0:40:49.000
<v Speaker 2>a technical trade?

0:40:49.080 --> 0:40:51.680
<v Speaker 11>I think so, right everyone, It's probably overused expression on

0:40:51.680 --> 0:40:54.560
<v Speaker 11>every program of our biggest stock pickers market, but I

0:40:54.600 --> 0:40:56.480
<v Speaker 11>do think, right if you look at the last.

0:40:56.239 --> 0:41:01.320
<v Speaker 10>Three years, what's underperformed quality company has been left behind.

0:41:01.320 --> 0:41:04.280
<v Speaker 11>What's underporting more than quality sort of a subcategory dividend

0:41:04.280 --> 0:41:04.960
<v Speaker 11>paying stocks.

0:41:05.320 --> 0:41:08.040
<v Speaker 10>So if you have those two subsets that.

0:41:08.160 --> 0:41:12.840
<v Speaker 11>Are providing comfort in balot sheet income statement and valuations,

0:41:13.040 --> 0:41:15.280
<v Speaker 11>then yeah, I do think there can be specific spots

0:41:15.280 --> 0:41:18.960
<v Speaker 11>where you can actually see identifiable alpha generating opportunities.

0:41:19.000 --> 0:41:19.960
<v Speaker 10>No question, Doug.

0:41:20.000 --> 0:41:23.040
<v Speaker 4>You're talking about quality companies and dividend paying stocks. What

0:41:23.200 --> 0:41:27.080
<v Speaker 4>specific sectors or some industries are you recommending clients by

0:41:27.160 --> 0:41:27.560
<v Speaker 4>right now?

0:41:28.200 --> 0:41:32.280
<v Speaker 11>Yeah, So, going back to healthcare, staples, communication services, definitely

0:41:32.360 --> 0:41:34.880
<v Speaker 11>dipping our toe into some financial services companies where we

0:41:34.920 --> 0:41:37.880
<v Speaker 11>think just the valuation we're just blown out way beyond

0:41:37.880 --> 0:41:40.120
<v Speaker 11>anything that could have been deserved because of the expected

0:41:40.160 --> 0:41:42.799
<v Speaker 11>contagion with Silicon Value Bank and Signature Bank, and then

0:41:42.880 --> 0:41:45.160
<v Speaker 11>even like in places like agriculture, we think there's a

0:41:45.160 --> 0:41:45.960
<v Speaker 11>lot of opportunity.

0:41:46.239 --> 0:41:47.320
<v Speaker 3>Yeah, no, it's interesting.

0:41:47.320 --> 0:41:48.719
<v Speaker 2>You know, we've been spending a lot of time here,

0:41:48.760 --> 0:41:52.840
<v Speaker 2>Doug talking about kind of agriculture, what's going on, disruption, innovation.

0:41:52.960 --> 0:41:54.839
<v Speaker 2>We're going to have somebody on from Bowery Farming later,

0:41:54.920 --> 0:41:56.880
<v Speaker 2>but just there's a lot going on in that space

0:41:57.000 --> 0:41:59.520
<v Speaker 2>as the world tries to make sure there's enough food

0:41:59.520 --> 0:42:03.440
<v Speaker 2>for everybody where. Don't you want to be in this

0:42:03.520 --> 0:42:04.840
<v Speaker 2>fee That's a good.

0:42:04.719 --> 0:42:08.520
<v Speaker 10>Question, I think. You know, we were excited about extending duration.

0:42:08.280 --> 0:42:11.040
<v Speaker 11>Are fixed income portfolios, and then with the massive rally

0:42:11.040 --> 0:42:13.680
<v Speaker 11>we saw coming out of that second week in March,

0:42:14.160 --> 0:42:17.160
<v Speaker 11>issues with the financial with the banking sector, that was

0:42:17.239 --> 0:42:19.480
<v Speaker 11>kind of arbitraged away. So we don't want to be

0:42:19.520 --> 0:42:21.520
<v Speaker 11>too long in our duration right now in our fixed

0:42:21.520 --> 0:42:23.759
<v Speaker 11>income portfolios. You know, we don't want to be too

0:42:23.880 --> 0:42:26.560
<v Speaker 11>aggressive in growth sectors of the market because we just

0:42:26.560 --> 0:42:30.719
<v Speaker 11>don't think there's going to be any type of multiple expansion,

0:42:31.040 --> 0:42:31.560
<v Speaker 11>not when you.

0:42:31.520 --> 0:42:33.560
<v Speaker 10>Have a slower growing ecconomy and higher interest rates.

0:42:33.640 --> 0:42:35.720
<v Speaker 11>So even though it's been exciting to see what's happened

0:42:35.719 --> 0:42:37.520
<v Speaker 11>in tech, I think it could provide an opportunity to

0:42:37.560 --> 0:42:39.880
<v Speaker 11>take some profits in that area, particularly if you're in

0:42:39.960 --> 0:42:42.760
<v Speaker 11>a sector or a company that's seeing a pretty significant expansion.

0:42:42.800 --> 0:42:45.759
<v Speaker 2>They're multiple, all right, So more optimistic or more pessimistic

0:42:45.760 --> 0:42:50.360
<v Speaker 2>bottom line about the outlook sounds like optimisticistic.

0:42:49.320 --> 0:42:51.399
<v Speaker 11>Oh my gosh, but by a lot, right. I think

0:42:51.400 --> 0:42:53.879
<v Speaker 11>there are some interesting lessons we learned from the FED

0:42:54.000 --> 0:42:56.480
<v Speaker 11>coming out of this little banking crisis. Right, you can't

0:42:56.520 --> 0:42:59.240
<v Speaker 11>live in the lab and I think regulators are really

0:42:59.239 --> 0:43:02.040
<v Speaker 11>good and in plenting implementing policies to prevent.

0:43:01.800 --> 0:43:02.880
<v Speaker 10>The previous crisis.

0:43:03.239 --> 0:43:06.160
<v Speaker 11>And because of that, the messaging really really matters when

0:43:06.200 --> 0:43:09.160
<v Speaker 11>it gets convoluted, and when you see sort of babies

0:43:09.160 --> 0:43:12.759
<v Speaker 11>and bathwater indiscriminately sold and thrown out, that's where opportunity

0:43:12.800 --> 0:43:15.239
<v Speaker 11>really really lies very heavily with us. There's a really

0:43:15.239 --> 0:43:17.200
<v Speaker 11>cool piece you guys price over the weekend. It came

0:43:17.200 --> 0:43:21.040
<v Speaker 11>from Bloomberg Intelligence talking about this regime model. Yeah, it's

0:43:21.200 --> 0:43:23.759
<v Speaker 11>so obsessed about how we going to a recession, how

0:43:23.760 --> 0:43:25.719
<v Speaker 11>deep recession is going to be twenty three to twenty four,

0:43:26.160 --> 0:43:28.759
<v Speaker 11>What they talk about with really liable inputs is we

0:43:28.840 --> 0:43:29.399
<v Speaker 11>may have been in.

0:43:29.440 --> 0:43:31.879
<v Speaker 6>One yeah, and we really have to creating a lot.

0:43:31.800 --> 0:43:34.480
<v Speaker 10>Of reasons for being optimistic, which is depicting games.

0:43:35.160 --> 0:43:37.400
<v Speaker 2>I love the new quote the next story.

0:43:37.520 --> 0:43:38.399
<v Speaker 3>I wrote that love story.

0:43:38.560 --> 0:43:39.600
<v Speaker 2>Oh Jess wrote it?

0:43:40.040 --> 0:43:41.680
<v Speaker 3>Dogdoka? How great is that?

0:43:42.120 --> 0:43:42.400
<v Speaker 7>All right?

0:43:42.440 --> 0:43:44.680
<v Speaker 2>Doug b Well. Doug is CEO and partner at Kavar

0:43:44.760 --> 0:43:47.320
<v Speaker 2>Capital Partners, joining us from lee Wick, Kansas.

0:43:48.560 --> 0:43:53.440
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0:43:53.600 --> 0:43:57.080
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