WEBVTT - Mixed Reactions to Powell Pivot Plan

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<v Speaker 1>This is Bloomberg Business Week 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>gloom O Business Finance and tech news. The Bloomberg Business

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<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>W As I mentioned stocks just keep going up, continuing

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<v Speaker 2>the week on a positive note, or kicking the week

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<v Speaker 2>off on a positive note, I should say booyed by

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<v Speaker 2>a burst of deals, even as Fed officials are kind

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<v Speaker 2>of it's been in a last few days, a little

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<v Speaker 2>bit over the weekend, sowing doubts that aggressive interest rate

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<v Speaker 2>cuts are going to materialize next year. Here are a few

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<v Speaker 2>of them, Chicago Fed President Austin Goolsby, Cleveland Fed President Lorettamester.

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<v Speaker 2>They were the latest to join a growing course of

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<v Speaker 2>central make officials tempering market optimism after their New York counterpart,

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<v Speaker 2>John Williams last week said bets on a March reduction

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<v Speaker 2>were premature. The equity market and the bond market are

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<v Speaker 2>kind of ignoring them. Hey, we got a great roundtable

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<v Speaker 2>to kick off our program this afternoon. John Authors is

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<v Speaker 2>a senior editor for Markets and a Bloomberg Opinion columnist.

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<v Speaker 2>Elena Popina is equity markets reporter for Bloomberg News. Both

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<v Speaker 2>of them are here in the Bloomberg Interactive Brokers studio. John,

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<v Speaker 2>I want to start with you because your latest column

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<v Speaker 2>talks about the really quick rally that we've seen and

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<v Speaker 2>how you know, I don't want to use this throw

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<v Speaker 2>out this term, but essentially the easy money has been

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<v Speaker 2>made at this point and if you're if you're looking

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<v Speaker 2>to buy right now, your big question is what's going

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<v Speaker 2>to happen over the next decade.

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<v Speaker 3>Arguably yes, I mean at the moment, the Fed, if

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<v Speaker 3>we believe the dot plot, thinks there's going to be

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<v Speaker 3>three cuts next year, which is more than they were

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<v Speaker 3>saying before, and the Fed funds futures markets thinks they're

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<v Speaker 3>going to be six. So it's hard to see how

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<v Speaker 3>you get lower rates than are currently being priced in

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<v Speaker 3>unless something happens to shock the Fed into cutting farm

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<v Speaker 3>more than it currently wants to. I if there's a recession,

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<v Speaker 3>which messes up equities.

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<v Speaker 2>So what happens if there is a recession the Fed

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<v Speaker 2>has to cut more aggressively. What do we see from equities?

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<v Speaker 3>One would imagine past experience has been that pivots tend

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<v Speaker 3>not to be great for equities because they are pivoting

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<v Speaker 3>for a reason, surprise, which is that now that the

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<v Speaker 3>economy is in trouble, if you have a pivot, as

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<v Speaker 3>in twenty eighteen after the Christmas Eve massacre when j.

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<v Speaker 3>Powell stepped back from I remember that, and that was

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<v Speaker 3>an unusual pivot in that that was at a time

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<v Speaker 3>when the economy wasn't any particular trouble and it just

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<v Speaker 3>loosed the dogs of war that you have this fantastic

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<v Speaker 3>rarey the following year. That's obvious roughly what we've had

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<v Speaker 3>again this time because the Fed is very unusually getting

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<v Speaker 3>worried about whether it should be cutting rates soon with

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<v Speaker 3>unemployed with sorry, with growth at over five percent and

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<v Speaker 3>unemployment at less than four percent, which is, you know, unusual.

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<v Speaker 3>I don't see myself how the current rate forecast is. Oh,

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<v Speaker 3>the current implicit rate forecast is is fulfilled, turns out

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<v Speaker 3>to be accurate unless the economy turns out to be

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<v Speaker 3>much worse than is currently being predicted.

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<v Speaker 2>Elena Popina, come on in here. You are Equen Markets

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<v Speaker 2>report of fort Plomberg News. You joined us at the

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<v Speaker 2>end of last week to give us an idea of

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<v Speaker 2>what we saw when it came to week seven of

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<v Speaker 2>gains for the S and P five hundred. Since then,

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<v Speaker 2>you've spoken to quite a few cellside analysts. What have

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<v Speaker 2>they told you about how they're thinking about not just

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<v Speaker 2>the next few days and the remainder of the year,

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<v Speaker 2>but also what happens next year.

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<v Speaker 4>Yeah, thank you guy, it's the pleasure to be here.

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<v Speaker 5>We are seeing quite a number of sales side analysts

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<v Speaker 5>boosting their target prices for twelve months from now. The

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<v Speaker 5>ratio of upgrades to target prices to downgrades is now

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<v Speaker 5>at the highest level.

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<v Speaker 4>Since at least January twenty twenty two.

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<v Speaker 5>That's the previous time the S and P five hundred

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<v Speaker 5>reached is all time high. Now, whether or not, you know,

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<v Speaker 5>analysts are just reacting to the stock market that's gone

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<v Speaker 5>up quite a bit in November and has gone quite

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<v Speaker 5>a bit in December so far, is yet.

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<v Speaker 4>An open question.

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<v Speaker 5>To John's point, there is quite a bit of a

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<v Speaker 5>concern that there is a mismatch between what the dot

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<v Speaker 5>plot shows and what markets are expecting in terms of

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<v Speaker 5>the pace of rate cuts next year. But the positive

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<v Speaker 5>sign is that the rally seems to be broaden out for.

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<v Speaker 4>Example, the equal weighted S.

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<v Speaker 5>And P five hundred index inven paced for its best

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<v Speaker 5>year since April twenty twenty two relative to the CALCU

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<v Speaker 5>weighted S and P five hints. So it's not just

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<v Speaker 5>maybe seven anymore. The laggards, the relative laggards like value stocks,

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<v Speaker 5>are trying to outperform, so we gives more momentum and

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<v Speaker 5>more breadth to the rally. But then yes, again they

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<v Speaker 5>can be argumently that the rally has become quite a

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<v Speaker 5>bit of an overextended. So we could with you for

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<v Speaker 5>some kind of pullback after New years?

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<v Speaker 6>What does history tell us about these types of pullbacks? John?

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<v Speaker 2>I mean, I know you're not a technical analyst here,

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<v Speaker 2>but in your experience and I'm sure though, you're also

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<v Speaker 2>a chief investment officer of Hindsight Capital, so you have

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<v Speaker 2>an idea.

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<v Speaker 3>With whom I've been in contact Ques.

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<v Speaker 2>Okay, so we'll wait to hear about Hindsight Capital later

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<v Speaker 2>this year. But yeah, but what has history told us

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<v Speaker 2>about moves like this?

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<v Speaker 3>Generally speaking, when you get moves this dramatic, there is

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<v Speaker 3>a risk actually of a melt up. I mean, in

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<v Speaker 3>terms of what Elena was saying. The positive way to

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<v Speaker 3>put it is that breadths widened, which is good. The

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<v Speaker 3>negative way to put it is that there's a dash

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<v Speaker 3>for trash. So the Meme Stock Index the last time

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<v Speaker 3>I checked, was up forty in a month. Something silly

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<v Speaker 3>like that.

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<v Speaker 6>Lots of Crystal has been high.

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<v Speaker 2>Yes, lot Kathy Woods, our innovation et office had a great.

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<v Speaker 3>And lots of small caps that really don't look in

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<v Speaker 3>good financial shape in terms of their credit have rallied.

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<v Speaker 3>Now that's that isn't a sign of breadth, but it's

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<v Speaker 3>also a sign of Okay, let's just buy the really

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<v Speaker 3>cheap stuff now because everything's going to rip. The scenario

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<v Speaker 3>that worries me because again I might be over over

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<v Speaker 3>applying what's happened in my in my experience my career

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<v Speaker 3>is LTCM in ninety eight, yes, which was I think

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<v Speaker 3>the significant the great era of monetary policy in you

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<v Speaker 3>since Volka And for those who don't know, LTCN was

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<v Speaker 3>this huge hedge fund that began to melt down and

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<v Speaker 3>got caught on the wrong side of all its trades.

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<v Speaker 3>After Russia defaulted in August of ninety eight, the Fed

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<v Speaker 3>organized you know, more or less forced all its banks

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<v Speaker 3>its creditors to agree a bailout which didn't actually involve

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<v Speaker 3>public money, which matters a lot. At the time, the

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<v Speaker 3>credit market stayed becalmed, and so Greenspan cut rates. And

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<v Speaker 3>the most palpable turn in sentiments in a day I've

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<v Speaker 3>ever witnessed was the day that green Span cut rates

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<v Speaker 3>between meetings without warning on a Thursday afternoon, and I

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<v Speaker 3>think you know, bank stocks were up more than ten

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<v Speaker 3>percent in the subse hour and the Globe dot com

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<v Speaker 3>went public. About two weeks later, the NASDAK more than

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<v Speaker 3>doubled over the last year. At that point, it looked

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<v Speaker 3>as though the great bullmarket connected to the dot COM's

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<v Speaker 3>had just reached a natural peak and was beginning to

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<v Speaker 3>slide down. And that faithful decision to pivots, which wasn't stupid,

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<v Speaker 3>there were reasons to do it. That the faithful decisions

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<v Speaker 3>pivot led to, you know, the greatest melt up of

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<v Speaker 3>all time, whose consequences you could argue, we are still

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<v Speaker 3>dealing with. That strikes me. Eric balcun has had this

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<v Speaker 3>fascinating chart. Apparently Friday saw the biggest flows into spy.

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<v Speaker 6>Oh wow.

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<v Speaker 3>Ever, I've tried checking it in percentage terms, and there

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<v Speaker 3>were a few bigger days during the real hurly burly

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<v Speaker 3>of the GFC. But in terms of actual money, more

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<v Speaker 3>people put money into or more money was put into

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<v Speaker 3>spy on Friday than on any other day ever before.

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<v Speaker 3>That's that has the signs as somebody who has arguably

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<v Speaker 3>been too bearish and too conservative over the years. That

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<v Speaker 3>instinctively bothers me. Okay, I mean, it might mean you

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<v Speaker 3>should buy now on a short time period, because wouldn't

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<v Speaker 3>it have been fantastic to own stocks through the whole

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<v Speaker 3>of nineteen ninety nine and get outside And lots of

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<v Speaker 3>people will make that calculation. But in terms of what

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<v Speaker 3>that means for the economy and the health of the

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<v Speaker 3>financial system over the next decade, that's concerning to me.

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<v Speaker 6>Helene.

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<v Speaker 2>I want to give you the last word here and

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<v Speaker 2>talk a little bit about what the analysts and you

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<v Speaker 2>speak to tell you in terms of their bearishness, because

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<v Speaker 2>it's kind of hard to find the bearers out there

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<v Speaker 2>right now, isn't it.

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<v Speaker 4>Is It is kind of hard to find you.

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<v Speaker 5>We are looking at an hour of south Side analysts

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<v Speaker 5>being quite bolish on the next half a year, with

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<v Speaker 5>a few exceptions like Mike Wilson, like a few other analysts.

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<v Speaker 5>But what I wanted to mention is that the election

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<v Speaker 5>year historically this century has so far seen some weakness

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<v Speaker 5>in the middle of the year, in the second and

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<v Speaker 5>third quarters of the year.

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<v Speaker 4>We saw that. In two thousand, we saw that.

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<v Speaker 5>Obviously in two thousand and eight, we saw quite a

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<v Speaker 5>bit of that.

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<v Speaker 4>In twenty twenty.

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<v Speaker 5>Now sum our goodness were new, exceptional, new periods of time,

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<v Speaker 5>And yes, I agree with that. But you know, if

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<v Speaker 5>history is any indication at this point, and I don't

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<v Speaker 5>know whether that's going to be the key, we could

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<v Speaker 5>see some fullback and you know, with stops me a record,

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<v Speaker 5>we would be live for fullback sometime.

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<v Speaker 4>In the second and fourth quarter.

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<v Speaker 2>Lena Popina equity market reporter for Bloomberg News, John Author,

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<v Speaker 2>Senior editor for Markets and a Bloomberg Opinion columnist. Here

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<v Speaker 2>in our Bloomberg Interactive Broker studio, we're just getting started

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<v Speaker 2>on this Monday afternoon.

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<v Speaker 6>This is Bloomberg Business Week.

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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 1>or watch us live on YouTube.

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<v Speaker 2>Well, some public companies are still trying to figure out

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<v Speaker 2>exactly how to comply with new rules from the US

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<v Speaker 2>Securities and Exchange Commission requiring speedy disclosure of significant cyber attacks.

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<v Speaker 2>Those rules, which kicked in Monday, require companies to report

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<v Speaker 2>cyber incidents within four business days of determining that they

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<v Speaker 2>are quote material to shareholders. The sec previously required firms

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<v Speaker 2>to disclose major events that would be of shareholder interest,

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<v Speaker 2>but didn't specify cyber events. We did speak earlier on

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<v Speaker 2>our program about cyber attack herding orders for Vans, north Face,

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<v Speaker 2>Dicky's Supreme Gen Sport, Timberland owner VF Corp. And the

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<v Speaker 2>way that those can really bring a company offline, especially

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<v Speaker 2>at a crucial time like during the holiday season. Well,

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<v Speaker 2>next guest knows a thing or two about cybersecurity. Wendy

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<v Speaker 2>Thomas is president and CEO of Cure Works, the cybersecurity company.

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<v Speaker 2>She's back with us once again, joining us on Zoom

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<v Speaker 2>from Atlanta, Georgia. Wendy, good to have you with us

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<v Speaker 2>this afternoon. How are you well.

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<v Speaker 7>I'm doing well.

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<v Speaker 2>Thanks for having me Tim, Well, thanks for joining us

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<v Speaker 2>once again on this It's a little different environment than

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<v Speaker 2>when we last spoke to you just a few months ago. Specifically,

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<v Speaker 2>when it comes to this new SEC requiring ruling that

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<v Speaker 2>requires speedy disclosure of significant cyber attacks, it seems like

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<v Speaker 2>there's a lot of confusion with what exactly companies now

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<v Speaker 2>have to disclose to their shareholders when it comes to

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<v Speaker 2>cyber attacks.

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<v Speaker 6>What can you tell us about it?

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<v Speaker 7>Sure, glad to share the emerging insights into the new regulations.

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<v Speaker 7>I think about it in sort of the front end

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<v Speaker 7>and the back end. On the back end, as you mentioned,

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<v Speaker 7>public companies now have to report cyber incidents that are

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<v Speaker 7>determined by the company themselves to be material, which is

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<v Speaker 7>a discussion in and of itself within four business days

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<v Speaker 7>the primary back end requirement. But on the front end,

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<v Speaker 7>the disclosures around everything from policies governing cybersecurity risks, the

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<v Speaker 7>companies risk management processes, processes whereby management is informed about

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<v Speaker 7>cyber incidents, and the board's oversight of that. All of

0:13:19.240 --> 0:13:22.640
<v Speaker 7>those are now required to be disclosed in annual ten

0:13:22.720 --> 0:13:26.320
<v Speaker 7>K filings by public companies, and so the scrutiny of

0:13:26.400 --> 0:13:29.839
<v Speaker 7>whether we are pre pairing sufficiently for cyber incidents as

0:13:29.880 --> 0:13:31.960
<v Speaker 7>well as disclosure about them on the back end is

0:13:32.360 --> 0:13:33.520
<v Speaker 7>significantly ramped up.

0:13:33.640 --> 0:13:35.920
<v Speaker 2>I want to talk about this just because this one's

0:13:35.960 --> 0:13:38.160
<v Speaker 2>in the news, but I mean, you could just replace

0:13:38.559 --> 0:13:41.720
<v Speaker 2>VF Corp. With any given company at any given time.

0:13:43.120 --> 0:13:43.760
<v Speaker 6>VF Corp.

0:13:44.880 --> 0:13:48.280
<v Speaker 2>Suffered this cyber attack at pretty much the worst possible

0:13:48.280 --> 0:13:51.720
<v Speaker 2>time and the most important quarter of the company, and

0:13:52.040 --> 0:13:55.559
<v Speaker 2>it has hurt orders for Vans, north Face and other

0:13:55.640 --> 0:14:02.240
<v Speaker 2>brands that the company has. I'm wondering, you know, how

0:14:02.280 --> 0:14:04.680
<v Speaker 2>this stuff continues to happen when we understand that the

0:14:04.720 --> 0:14:07.760
<v Speaker 2>threats are out there and so many companies are spending

0:14:07.800 --> 0:14:10.640
<v Speaker 2>so much money on keeping their network safe.

0:14:13.760 --> 0:14:17.480
<v Speaker 7>They are spending significant amounts of money. But as you

0:14:17.520 --> 0:14:20.720
<v Speaker 7>can see, the cyber criminal only has to be right once,

0:14:21.680 --> 0:14:23.760
<v Speaker 7>and we have to be right in and out every day.

0:14:23.960 --> 0:14:27.240
<v Speaker 7>And that's why it's so important for companies to have

0:14:27.520 --> 0:14:30.960
<v Speaker 7>a security expert partner to help them prepare for and

0:14:31.080 --> 0:14:35.080
<v Speaker 7>navigate situations like this to minimize the damage. There's nothing

0:14:35.840 --> 0:14:38.680
<v Speaker 7>worse for a company than their high season to be

0:14:38.720 --> 0:14:41.800
<v Speaker 7>impacted by this type of a cyber attack. And to

0:14:41.800 --> 0:14:44.120
<v Speaker 7>be frank, the reason these regulations are in place is

0:14:44.160 --> 0:14:48.320
<v Speaker 7>that when things like this hit the headlines, regulators feel

0:14:48.760 --> 0:14:54.920
<v Speaker 7>impelled to incent companies to protect themselves proactively and then

0:14:54.960 --> 0:14:58.560
<v Speaker 7>to be straightforward with shareholders or investors around what may

0:14:58.600 --> 0:15:01.560
<v Speaker 7>be impacting their business in terms of its operations or

0:15:01.640 --> 0:15:04.800
<v Speaker 7>financial performance. And this is a case in point of

0:15:04.800 --> 0:15:06.920
<v Speaker 7>why we see new regulations coming out around this.

0:15:07.240 --> 0:15:09.760
<v Speaker 6>In your opinion, do the regulations go far enough?

0:15:12.360 --> 0:15:15.840
<v Speaker 7>The regulations, I think are a good first step in

0:15:16.240 --> 0:15:18.760
<v Speaker 7>many ways, and I have no doubt we'll continue to

0:15:18.800 --> 0:15:22.600
<v Speaker 7>see them evolve like many other new forms of rulemaking

0:15:22.640 --> 0:15:25.000
<v Speaker 7>over the years. But what I will tell you is

0:15:25.040 --> 0:15:28.800
<v Speaker 7>these regulations are not intended to punish. They are really

0:15:28.840 --> 0:15:33.720
<v Speaker 7>intended to create the right incentives. Look twenty twenty three,

0:15:33.840 --> 0:15:36.240
<v Speaker 7>I think it's on track to be the most prolific

0:15:36.320 --> 0:15:38.920
<v Speaker 7>year for ransomware ever and to have one of the

0:15:39.000 --> 0:15:43.160
<v Speaker 7>highest economic costs of security breaches to day. This cybercrime

0:15:43.280 --> 0:15:47.960
<v Speaker 7>is an ongoing, continual transfer of wealth to criminal enterprises,

0:15:48.480 --> 0:15:51.560
<v Speaker 7>and so I think that the SEC feels compelled to

0:15:51.600 --> 0:15:55.840
<v Speaker 7>provide guidance around how to better prepare for these types

0:15:55.880 --> 0:15:59.920
<v Speaker 7>of situations going forward. And frankly, they've raised the bar

0:16:00.200 --> 0:16:05.960
<v Speaker 7>for CEOs, CSOs and boards of directors around preparing for

0:16:06.000 --> 0:16:07.920
<v Speaker 7>these types of incidents.

0:16:08.200 --> 0:16:10.600
<v Speaker 2>What, in your opinion, is the right amount of money

0:16:10.640 --> 0:16:14.080
<v Speaker 2>for a company to actually spend on keeping their company

0:16:14.120 --> 0:16:20.080
<v Speaker 2>secure from cyber attacks.

0:16:17.800 --> 0:16:18.680
<v Speaker 1>Not a.

0:16:20.360 --> 0:16:22.400
<v Speaker 2>Single figure, not a single figure, but a certain like

0:16:22.480 --> 0:16:25.600
<v Speaker 2>a portion of revenues for example, or portion of expenses.

0:16:28.080 --> 0:16:30.960
<v Speaker 7>That does vary a bit, and I'm glad to provide

0:16:31.000 --> 0:16:33.400
<v Speaker 7>some ranges there. It does vary a bit depending on

0:16:33.480 --> 0:16:38.000
<v Speaker 7>whether the organization is in a highly attacked and frankly

0:16:38.040 --> 0:16:41.160
<v Speaker 7>highly regulated industry eating like.

0:16:41.160 --> 0:16:45.560
<v Speaker 2>A healthcare or financial services for example, Exactly.

0:16:45.240 --> 0:16:47.360
<v Speaker 7>They have a much higher standard. Now what we see

0:16:47.440 --> 0:16:50.760
<v Speaker 7>is damages to companies that are more in the manufacturing

0:16:50.800 --> 0:16:53.880
<v Speaker 7>in the retail space. So it does matter from a

0:16:53.920 --> 0:16:57.920
<v Speaker 7>business up time and financial performance perspective, But generally we

0:16:58.000 --> 0:17:03.000
<v Speaker 7>expect to see companies spending somewhere in the four to

0:17:03.080 --> 0:17:07.720
<v Speaker 7>five percent range. It can sort of merge into other

0:17:07.800 --> 0:17:10.960
<v Speaker 7>technology spend a little bit, because you can have secure

0:17:11.000 --> 0:17:16.240
<v Speaker 7>by design technology deployments, But somewhere between that and twelve

0:17:16.240 --> 0:17:20.800
<v Speaker 7>to fifteen percent of your total technology spend is what

0:17:20.840 --> 0:17:24.440
<v Speaker 7>we see typically in place. Again, for businesses that aren't

0:17:24.480 --> 0:17:27.360
<v Speaker 7>necessarily in a highly regulated industry.

0:17:26.960 --> 0:17:28.720
<v Speaker 6>Do you see that portion moving up?

0:17:33.000 --> 0:17:34.879
<v Speaker 7>I do see that portion moving up, but I also

0:17:35.040 --> 0:17:39.080
<v Speaker 7>see it moving in terms of mix. So while you

0:17:39.160 --> 0:17:42.720
<v Speaker 7>want to invest in preventing as much as you possibly can,

0:17:43.280 --> 0:17:45.679
<v Speaker 7>what these regulations are showing is that you have to

0:17:45.800 --> 0:17:50.280
<v Speaker 7>invest in you aren't able to prevent everything. So you

0:17:50.520 --> 0:17:53.840
<v Speaker 7>absolutely have to be able to detect quickly because with

0:17:53.880 --> 0:17:58.040
<v Speaker 7>these regulations, the ability to assess the impact of an

0:17:58.080 --> 0:18:00.879
<v Speaker 7>incident in terms of what it's going to do to

0:18:00.960 --> 0:18:05.919
<v Speaker 7>your business operations and the financial outcomes of that. You

0:18:05.960 --> 0:18:10.240
<v Speaker 7>absolutely cannot do that with humans alone. It requires technology

0:18:10.320 --> 0:18:14.840
<v Speaker 7>investments and investments in awareness and preparation of your team.

0:18:15.000 --> 0:18:17.439
<v Speaker 7>So I do think that the mix is going to

0:18:17.480 --> 0:18:22.520
<v Speaker 7>shift quite a bit towards the detection and preparation aspect

0:18:22.560 --> 0:18:22.800
<v Speaker 7>of this.

0:18:23.160 --> 0:18:25.960
<v Speaker 2>Wendy, we've talked a lot about AI and in the

0:18:26.000 --> 0:18:30.680
<v Speaker 2>context of, you know, making companies more productive and being

0:18:30.760 --> 0:18:33.920
<v Speaker 2>able to be more efficient. We've talked about it too

0:18:33.960 --> 0:18:37.760
<v Speaker 2>in the concept of people being worried about AI, sort

0:18:37.800 --> 0:18:41.200
<v Speaker 2>of like the way that Elon Musk gets concerned about AGI.

0:18:42.480 --> 0:18:46.040
<v Speaker 2>I'm wondering how you've seen or how you could see

0:18:46.040 --> 0:18:50.639
<v Speaker 2>threat actors use AI to pose as humans to actually

0:18:50.720 --> 0:18:53.879
<v Speaker 2>gain access to networks. What's worst case scenario here that

0:18:53.960 --> 0:19:01.360
<v Speaker 2>you guys are thinking about over at secure works.

0:19:00.119 --> 0:19:02.720
<v Speaker 7>Or as we've talked about before, the power in the

0:19:02.760 --> 0:19:06.679
<v Speaker 7>peril of AI is very real for cybersecurity, and so

0:19:06.760 --> 0:19:08.960
<v Speaker 7>while the power of it to be able to detect

0:19:09.440 --> 0:19:13.680
<v Speaker 7>certain behavioral techniques of the adversary are are incredibly important

0:19:13.680 --> 0:19:17.040
<v Speaker 7>for how we operate as secure works, we also see

0:19:17.080 --> 0:19:21.080
<v Speaker 7>the adversary taking advantage of these tools and techniques as well.

0:19:21.600 --> 0:19:24.080
<v Speaker 7>And I think the most near term one that we

0:19:24.160 --> 0:19:27.200
<v Speaker 7>have seen and increasingly concerns us in terms of its

0:19:27.720 --> 0:19:32.399
<v Speaker 7>accelerated use, is around deep fakes, with the ability to

0:19:32.640 --> 0:19:36.280
<v Speaker 7>impersonate a CEO not just in an email, but in

0:19:36.320 --> 0:19:40.280
<v Speaker 7>a video, and to do that at scale with large

0:19:40.320 --> 0:19:44.800
<v Speaker 7>language models like chat, GPT, it just has put a

0:19:44.920 --> 0:19:50.520
<v Speaker 7>pace of deployment and a fidelity of believability in what

0:19:50.600 --> 0:19:55.080
<v Speaker 7>they're using to deceive, just taking it to another level,

0:19:55.119 --> 0:19:58.280
<v Speaker 7>and that's the primary area where we're focused on the

0:19:58.280 --> 0:19:59.200
<v Speaker 7>ability to detect.

0:19:59.440 --> 0:20:01.560
<v Speaker 2>Yeah, thing is you mean you have to remain sovid

0:20:01.680 --> 0:20:04.880
<v Speaker 2>vigilant regardless of who's you know in your organization, from

0:20:05.200 --> 0:20:08.600
<v Speaker 2>person with access to certain systems versus the person whose

0:20:08.680 --> 0:20:12.760
<v Speaker 2>password or log in credentials could be compromised. Wendy, we

0:20:12.800 --> 0:20:14.840
<v Speaker 2>love it when you join us. Wendy Thomas is President

0:20:14.880 --> 0:20:17.680
<v Speaker 2>and chief executive officer of Secure Works. Back with us

0:20:18.000 --> 0:20:21.399
<v Speaker 2>on Zoom from Atlanta, Georgia. You're listening to Bloomberg Business Week.

0:20:22.000 --> 0:20:25.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:25.600 --> 0:20:29.639
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:20:29.840 --> 0:20:33.119
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:20:33.200 --> 0:20:36.320
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:20:36.760 --> 0:20:39.560
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:20:40.920 --> 0:20:43.399
<v Speaker 2>Well the next guest has made his living connecting people.

0:20:43.680 --> 0:20:46.639
<v Speaker 2>Sam Darwish is the co founder, chairman, and CEO of

0:20:46.640 --> 0:20:50.080
<v Speaker 2>one of the world's largest independent owners, operators and developers

0:20:50.080 --> 0:20:54.439
<v Speaker 2>of towers, providing communication infrastructure in eleven markets, serving about

0:20:54.600 --> 0:20:57.040
<v Speaker 2>seven hundred and seventy million people. He joins us on

0:20:57.200 --> 0:21:01.360
<v Speaker 2>Zoom this afternoon. He's the CEO of IHS Towers. It's

0:21:01.359 --> 0:21:05.880
<v Speaker 2>got nearly forty thousand towers across Africa, Latin America and

0:21:06.080 --> 0:21:09.879
<v Speaker 2>the Middle East. Also the co founder and chairman of

0:21:09.920 --> 0:21:12.560
<v Speaker 2>the company. Good to have you with us this afternoon. Sam,

0:21:12.600 --> 0:21:14.480
<v Speaker 2>How are you good?

0:21:14.560 --> 0:21:14.800
<v Speaker 8>Good?

0:21:14.840 --> 0:21:16.240
<v Speaker 1>Thank you? How are you hey?

0:21:16.560 --> 0:21:19.400
<v Speaker 2>I'm doing really well. Hey, this is perfect timing for

0:21:19.760 --> 0:21:22.000
<v Speaker 2>you to come on our program because we are our

0:21:22.000 --> 0:21:25.800
<v Speaker 2>own tech Bloomberg Technology team that day and mad Day

0:21:25.840 --> 0:21:29.600
<v Speaker 2>and team wrote a piece about Project Kuiper earlier today,

0:21:29.600 --> 0:21:34.520
<v Speaker 2>about Amazon's for a into providing high speed internet, and

0:21:34.560 --> 0:21:38.760
<v Speaker 2>he said, you know, Amazon's not just competing against the

0:21:38.800 --> 0:21:42.520
<v Speaker 2>SpaceX and the SpaceX is Starlinks of the world. He's

0:21:42.520 --> 0:21:47.000
<v Speaker 2>competing with anyone out there right now providing connectivity. And

0:21:47.040 --> 0:21:51.440
<v Speaker 2>that's a company like yours that provides the infrastructure for connectivity.

0:21:52.359 --> 0:21:54.520
<v Speaker 2>How are you seeing the landscape right now in the

0:21:54.520 --> 0:21:55.640
<v Speaker 2>markets that you operate.

0:21:58.480 --> 0:22:02.679
<v Speaker 8>Look, we allperate, as you said, we own forty thousand

0:22:02.760 --> 0:22:06.960
<v Speaker 8>towers roughly across and fiber in the tens of thousands

0:22:07.000 --> 0:22:11.440
<v Speaker 8>of kilometers, covering eight or nine million homes across our markets.

0:22:11.520 --> 0:22:15.240
<v Speaker 8>Our markets are we operate in eleven countries across the world,

0:22:16.760 --> 0:22:19.879
<v Speaker 8>covering roughly eight hundred million people, as you said, So

0:22:19.920 --> 0:22:23.320
<v Speaker 8>we kind of like see the trends, understand what's happening.

0:22:25.000 --> 0:22:27.399
<v Speaker 8>The likes of Amazon and the likes of Google, the

0:22:27.520 --> 0:22:31.119
<v Speaker 8>likes of Facebook do from time to time come to

0:22:31.200 --> 0:22:35.840
<v Speaker 8>our markets trying to simulate basically demand for their own services.

0:22:35.880 --> 0:22:38.280
<v Speaker 8>But we haven't come we haven't seen them come into

0:22:38.320 --> 0:22:41.359
<v Speaker 8>our markets, kind of like with big statements or with

0:22:41.480 --> 0:22:45.520
<v Speaker 8>big projects that could move the need. Now, having said that,

0:22:45.840 --> 0:22:48.720
<v Speaker 8>at the end of the day, I get startling.

0:22:49.080 --> 0:22:50.560
<v Speaker 6>I get all the.

0:22:54.280 --> 0:22:57.680
<v Speaker 8>Projects or the ideas of trying to create connectivity using

0:22:57.760 --> 0:23:03.359
<v Speaker 8>satellites or non terrestrial systems. But when it comes to

0:23:03.920 --> 0:23:08.000
<v Speaker 8>basic propagation, basic wireless, there is no alternative to a

0:23:08.080 --> 0:23:09.080
<v Speaker 8>tower on the ground.

0:23:09.280 --> 0:23:10.840
<v Speaker 6>Really, why is that?

0:23:10.920 --> 0:23:13.159
<v Speaker 2>Because you know, here I am thinking to myself, this

0:23:13.200 --> 0:23:15.879
<v Speaker 2>could be a prime moment for you know what you

0:23:15.880 --> 0:23:18.880
<v Speaker 2>guys in the industry called leap frogging. Here the technology,

0:23:19.000 --> 0:23:21.240
<v Speaker 2>you know, this infrastructure technology is so expensive. I don't

0:23:21.240 --> 0:23:23.119
<v Speaker 2>have to tell you. You guys own and operate forty thousand

0:23:23.160 --> 0:23:26.760
<v Speaker 2>of these towers. These are very expensive things to build

0:23:27.119 --> 0:23:29.720
<v Speaker 2>and to operate. And then you have this other technology

0:23:29.720 --> 0:23:32.320
<v Speaker 2>coming in that essentially broadcast internet from the sky. Why

0:23:32.440 --> 0:23:35.160
<v Speaker 2>is this not a serious concern to you at this point?

0:23:36.280 --> 0:23:41.080
<v Speaker 8>Because the technology has limitations. I'll list a few. The

0:23:41.119 --> 0:23:44.720
<v Speaker 8>first is that as you're trying to penetrate a building

0:23:45.520 --> 0:23:49.040
<v Speaker 8>or a structure sideways from a tower, it's much easier

0:23:49.080 --> 0:23:51.439
<v Speaker 8>because you're kind of like going through windows and glass

0:23:51.520 --> 0:23:53.280
<v Speaker 8>and this, and that if you try to do it

0:23:53.320 --> 0:23:56.800
<v Speaker 8>from the satellite, you basically have to penetrate ceilings, like

0:23:57.000 --> 0:23:59.760
<v Speaker 8>multiple ceilings. I mean that's a lot. Given that this

0:24:00.320 --> 0:24:03.959
<v Speaker 8>is also from the satellite to Earth. The satellite may

0:24:04.000 --> 0:24:06.800
<v Speaker 8>be able to protect the power, but the handset is

0:24:06.880 --> 0:24:09.080
<v Speaker 8>kind of like small and it has limitations, and being

0:24:09.080 --> 0:24:13.560
<v Speaker 8>able to penetrate back into into the satellite again is

0:24:13.600 --> 0:24:17.240
<v Speaker 8>another issue. What kind of spectrum do you use? Most

0:24:17.280 --> 0:24:20.080
<v Speaker 8>of the carriers on the spectrum when you start interfacing

0:24:20.119 --> 0:24:22.920
<v Speaker 8>with people, The size of the battery, how long can

0:24:22.960 --> 0:24:26.320
<v Speaker 8>it last? I mean, those are practical limitations. And then

0:24:26.640 --> 0:24:29.480
<v Speaker 8>compile that or add to all of this the fact

0:24:29.560 --> 0:24:33.439
<v Speaker 8>that that people need more and more and more capacity

0:24:33.440 --> 0:24:37.160
<v Speaker 8>by the day, especially as as some of these apps

0:24:37.240 --> 0:24:41.679
<v Speaker 8>like like drones, driverless cars kind of like start to proliferate,

0:24:41.840 --> 0:24:44.520
<v Speaker 8>We're going to need more capacity rather than less capacity.

0:24:44.560 --> 0:24:46.520
<v Speaker 8>I mean, these satellites will not be able to provide

0:24:46.520 --> 0:24:47.240
<v Speaker 8>that capacity.

0:24:47.560 --> 0:24:47.920
<v Speaker 6>He said.

0:24:47.960 --> 0:24:53.640
<v Speaker 8>There are great solutions tem like offshore, rural urban mountains

0:24:54.119 --> 0:24:57.960
<v Speaker 8>provide some bridge like like in the Ukraine situation for example,

0:24:58.240 --> 0:25:00.280
<v Speaker 8>but they can't be a solution to the million of

0:25:00.320 --> 0:25:03.120
<v Speaker 8>people using their phone, for example in Manhattan, or Los

0:25:03.160 --> 0:25:04.960
<v Speaker 8>Angeles or London or a Legos.

0:25:05.080 --> 0:25:08.040
<v Speaker 2>Right, it's just too you know, apples and oranges. It

0:25:08.119 --> 0:25:10.320
<v Speaker 2>certainly sounds like, Hey, Sam, I wanted to talk a

0:25:10.320 --> 0:25:13.080
<v Speaker 2>little bit about the types of technology that these towers

0:25:13.119 --> 0:25:15.480
<v Speaker 2>are providing. When you think about the different markets that

0:25:15.520 --> 0:25:17.360
<v Speaker 2>you're in, is this are we talking four G? Here

0:25:17.359 --> 0:25:20.480
<v Speaker 2>are we talking five G? I mean, what is the

0:25:20.520 --> 0:25:24.200
<v Speaker 2>sort of standard in terms of the equipment that you

0:25:24.240 --> 0:25:27.480
<v Speaker 2>provide or that the folks who lease and use your

0:25:27.480 --> 0:25:28.440
<v Speaker 2>towers end up using.

0:25:29.600 --> 0:25:33.480
<v Speaker 8>Look, simply put, there is no difference in the aspirations

0:25:33.560 --> 0:25:36.879
<v Speaker 8>of carriers and people in our markets to where the

0:25:36.960 --> 0:25:41.800
<v Speaker 8>United States or Europe is. Everyone wants the fastest, cheapest pipe,

0:25:41.920 --> 0:25:45.040
<v Speaker 8>everyone wants five G. Everyone wants fiber to the home. Now,

0:25:45.040 --> 0:25:48.240
<v Speaker 8>having said that, we are definitely behind. Our markets are

0:25:49.600 --> 0:25:52.440
<v Speaker 8>largely in the four G cycle. At the moment. Most

0:25:52.440 --> 0:25:55.280
<v Speaker 8>of the four G deployments have happened on our towers.

0:25:55.080 --> 0:25:58.280
<v Speaker 8>They're selling it now to customers to upgrade from some

0:25:58.480 --> 0:26:01.919
<v Speaker 8>markets two G three G into four G. Many of

0:26:01.960 --> 0:26:06.119
<v Speaker 8>our markets like Nigeria, South Africa, Brazil have also seen

0:26:06.240 --> 0:26:09.840
<v Speaker 8>five G spectrum licensing recently, So we're beginning to see

0:26:10.040 --> 0:26:13.720
<v Speaker 8>commercial tryers or commercial pilots into five G, but five

0:26:13.800 --> 0:26:16.800
<v Speaker 8>G is still still not the standard, so it's largely

0:26:16.840 --> 0:26:17.199
<v Speaker 8>four G.

0:26:17.600 --> 0:26:20.639
<v Speaker 2>You guys offer six different solutions including new sites in

0:26:20.720 --> 0:26:27.520
<v Speaker 2>building solutions, fiber connectivity, small cell infrastructure in urban areas.

0:26:27.800 --> 0:26:30.680
<v Speaker 2>Where are you most bullish for your company?

0:26:31.440 --> 0:26:32.240
<v Speaker 4>Look?

0:26:32.480 --> 0:26:36.000
<v Speaker 8>For us, we think about it from a deployment point

0:26:36.040 --> 0:26:38.960
<v Speaker 8>of view. What does the wireless network that carries a

0:26:39.000 --> 0:26:41.360
<v Speaker 8>four G or a five G or eventually a six

0:26:41.440 --> 0:26:44.600
<v Speaker 8>G what does it require? Initially it used to require

0:26:44.680 --> 0:26:47.840
<v Speaker 8>these macro towers, the big towers, you know, and that's

0:26:47.600 --> 0:26:51.080
<v Speaker 8>what most of us US and some of our peers

0:26:51.119 --> 0:26:54.720
<v Speaker 8>eight American tower crown SBA focused on. But as you

0:26:55.040 --> 0:26:58.680
<v Speaker 8>as rollout starts to change, especially with five G, more

0:26:58.720 --> 0:27:01.920
<v Speaker 8>small cells will be needed. The DAAs becomes very important.

0:27:02.400 --> 0:27:04.920
<v Speaker 8>Fiber is critical as small cells start to kind of

0:27:05.000 --> 0:27:08.000
<v Speaker 8>like cells, start to get closer to each other, so

0:27:08.200 --> 0:27:12.040
<v Speaker 8>the fiber connection to those locations become important. Also, we're

0:27:12.119 --> 0:27:16.720
<v Speaker 8>seeing now compute and cash becoming very important. At the

0:27:16.800 --> 0:27:19.160
<v Speaker 8>end of the day, those towers are the closest really

0:27:19.280 --> 0:27:22.400
<v Speaker 8>state possible to the eyeballs using a cell phone, so

0:27:22.680 --> 0:27:26.320
<v Speaker 8>an element of computing could happen potentially some data center

0:27:27.720 --> 0:27:31.359
<v Speaker 8>or edge data center on these locations. But what I'm

0:27:31.359 --> 0:27:34.040
<v Speaker 8>trying to tell you here, there is no one size

0:27:34.119 --> 0:27:37.200
<v Speaker 8>fit all, kind of like solution. You have to be ahead.

0:27:37.240 --> 0:27:39.400
<v Speaker 8>You have to look at the technology of the time

0:27:39.600 --> 0:27:43.320
<v Speaker 8>in that country and what kind of rollout does it require.

0:27:43.720 --> 0:27:47.080
<v Speaker 8>It always will require micro towers in our view, because

0:27:47.119 --> 0:27:50.160
<v Speaker 8>that's kind of like the basic the umbrella cannot coverage.

0:27:50.320 --> 0:27:53.679
<v Speaker 8>But all these other types, like like small cells, like

0:27:53.960 --> 0:27:57.240
<v Speaker 8>the m building, like the fiber will be required in

0:27:57.280 --> 0:27:59.359
<v Speaker 8>different types and different instances.

0:27:59.440 --> 0:28:01.240
<v Speaker 2>Well, Sam, I could talk about this stuff all afternoon.

0:28:01.240 --> 0:28:03.560
<v Speaker 2>I used to cover telecom, so I just love talking

0:28:03.560 --> 0:28:07.000
<v Speaker 2>about connectivity and how people are getting connected around the world.

0:28:07.200 --> 0:28:08.960
<v Speaker 2>I really appreciate you taking the time in joining us

0:28:09.000 --> 0:28:11.920
<v Speaker 2>on Bloomberg Business Week this afternoon. Sam Darwish, co founder,

0:28:12.000 --> 0:28:14.520
<v Speaker 2>chairman and CEO of IHS Towers.

0:28:14.240 --> 0:28:17.480
<v Speaker 6>Joining us on zoom this afternoon. This is Bloomberg Business Week.

0:28:19.040 --> 0:28:22.640
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:28:22.680 --> 0:28:26.040
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:28:26.080 --> 0:28:30.119
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:28:30.400 --> 0:28:34.600
<v Speaker 1>or watch us live on YouTube.

0:28:36.359 --> 0:28:37.240
<v Speaker 9>The meats.

0:28:38.640 --> 0:28:41.800
<v Speaker 1>Then doing the chickets.

0:28:43.520 --> 0:28:45.640
<v Speaker 2>It's a good song for this, Paul Brandon's who is

0:28:45.680 --> 0:28:47.959
<v Speaker 2>the Fuck You Chicken? I like it well, it all

0:28:48.000 --> 0:28:51.120
<v Speaker 2>sounds pretty great. Meat that's grown in a lab taste

0:28:51.160 --> 0:28:54.720
<v Speaker 2>exactly like chicken, beef, shrimp, pork, you name it, but

0:28:54.800 --> 0:28:58.720
<v Speaker 2>without the downsides to raising livestock. No animals killed, no

0:28:58.840 --> 0:29:04.320
<v Speaker 2>fisheries depleted, no harmful chemical climate emissions. So great that

0:29:04.360 --> 0:29:07.200
<v Speaker 2>over the last few years, investors have poured nearly three

0:29:07.200 --> 0:29:10.400
<v Speaker 2>billion dollars into cultivated meat companies. By the end of

0:29:10.400 --> 0:29:12.200
<v Speaker 2>the year, there were one hundred and fifty six companies

0:29:12.240 --> 0:29:14.480
<v Speaker 2>working on it, according to the Good Food Institute, it's

0:29:14.480 --> 0:29:18.040
<v Speaker 2>a nonprofit think tank for alternative proteins. You've got big names,

0:29:18.040 --> 0:29:21.400
<v Speaker 2>billionaires like Bill Gates and Jeff Bezos. You've got Ashton Kutcher,

0:29:21.480 --> 0:29:25.240
<v Speaker 2>Leonardo DiCaprio, state owned investors pouring money in, and yet

0:29:25.240 --> 0:29:27.760
<v Speaker 2>here we are. When families gather around the table this

0:29:27.840 --> 0:29:31.200
<v Speaker 2>holiday season, the meat that many will eat will not

0:29:31.280 --> 0:29:34.400
<v Speaker 2>have been grown in a lab. Dina Shanker and Pria

0:29:34.480 --> 0:29:36.720
<v Speaker 2>Nod write all about the venture back startups such as

0:29:36.800 --> 0:29:40.080
<v Speaker 2>Upside Foods that have promised cultivated chicken is the solution

0:29:40.160 --> 0:29:43.600
<v Speaker 2>to the meat problem and yet the challenges they've faced.

0:29:43.760 --> 0:29:45.800
<v Speaker 2>The story is in the new issue of A BusinessWeek

0:29:45.840 --> 0:29:48.640
<v Speaker 2>Magazine's available on newstands now, online at Bloomberg dot com,

0:29:48.680 --> 0:29:51.520
<v Speaker 2>slash business Week, and on the Bloomberg terminal. With more,

0:29:51.560 --> 0:29:54.440
<v Speaker 2>We've got Dina Shanker, consumer reporter for Bloomberg News, joining

0:29:54.520 --> 0:29:56.720
<v Speaker 2>us on zoom from New York. Also here the editor

0:29:56.720 --> 0:29:59.160
<v Speaker 2>of Bloomberg BusinessWeek, Joe Webber. He's here in our Bloomberg

0:29:59.200 --> 0:30:03.200
<v Speaker 2>Interactive Brokers studio. Joel is the famous election slogan goes

0:30:03.480 --> 0:30:06.200
<v Speaker 2>a chicken growing bio reactor in every home.

0:30:06.400 --> 0:30:07.040
<v Speaker 6>Yeah, there you go.

0:30:08.000 --> 0:30:12.040
<v Speaker 10>So we've been really interested with sort of a line

0:30:12.080 --> 0:30:16.080
<v Speaker 10>of reporting that Dina has done this year. Some of

0:30:16.080 --> 0:30:18.840
<v Speaker 10>that was about fake meat, and that was a cover

0:30:18.880 --> 0:30:21.200
<v Speaker 10>story or in this year, and then we also wanted

0:30:21.240 --> 0:30:25.280
<v Speaker 10>to talk about and keep our eye on the lab grown.

0:30:25.120 --> 0:30:28.320
<v Speaker 6>Meat, not to be confused with fat. It's actual meat.

0:30:28.440 --> 0:30:33.600
<v Speaker 10>It's cell based meat that got FDA approval. So all

0:30:33.640 --> 0:30:37.239
<v Speaker 10>of a sudden, we expected to see a ton of

0:30:37.240 --> 0:30:41.440
<v Speaker 10>this stuff suddenly hitting the market, only not that much

0:30:41.720 --> 0:30:45.400
<v Speaker 10>actually made it to consumers. So Dina rewind the clock

0:30:45.440 --> 0:30:47.880
<v Speaker 10>a little bit and talk to US. We got that

0:30:47.960 --> 0:30:51.440
<v Speaker 10>wind up from Tim about why we might want to

0:30:51.480 --> 0:30:54.600
<v Speaker 10>be interested in cultivated meat, But how much money has

0:30:54.640 --> 0:30:56.440
<v Speaker 10>gone into this space and what have we gotten for

0:30:56.480 --> 0:30:56.920
<v Speaker 10>it so far?

0:30:58.360 --> 0:31:02.400
<v Speaker 11>So there's been nearly three billion dollars raised for companies

0:31:02.440 --> 0:31:09.880
<v Speaker 11>that are growing meat and seafood from cells extracted from animals,

0:31:10.440 --> 0:31:15.720
<v Speaker 11>and as Joel said, there have been government clearances two

0:31:15.760 --> 0:31:19.600
<v Speaker 11>companies so far, Upside Foods and Eat just have received

0:31:19.920 --> 0:31:23.600
<v Speaker 11>clearances from the FDA and the USDA. And the expectation

0:31:23.720 --> 0:31:26.920
<v Speaker 11>that these companies set was once they had all their

0:31:26.960 --> 0:31:31.320
<v Speaker 11>regulatory business in order, they were going to get stuff

0:31:31.320 --> 0:31:32.960
<v Speaker 11>out to restaurants and we were just going to start

0:31:33.000 --> 0:31:35.600
<v Speaker 11>seeing this build up and more and more of it coming.

0:31:36.440 --> 0:31:40.040
<v Speaker 11>But instead, what we've seen is that Upside Foods is

0:31:40.240 --> 0:31:44.520
<v Speaker 11>currently serving only one pound of chicken a month, and

0:31:44.680 --> 0:31:48.600
<v Speaker 11>that's in one ounce portions to sixteen people each month.

0:31:49.080 --> 0:31:51.920
<v Speaker 11>And Eat just was serving a bit more than that

0:31:52.440 --> 0:31:55.720
<v Speaker 11>to one restaurant, but now they've actually stopped production, so

0:31:55.760 --> 0:31:57.400
<v Speaker 11>they're not serving anything in the US.

0:31:57.720 --> 0:32:00.640
<v Speaker 10>Okay, So if I did want to try this, where

0:32:00.640 --> 0:32:03.160
<v Speaker 10>would I go and what would it taste like?

0:32:04.160 --> 0:32:08.120
<v Speaker 12>You would go to Barcran in San Francisco.

0:32:08.160 --> 0:32:10.440
<v Speaker 11>You'd have to get a reservation, which last I checked,

0:32:10.520 --> 0:32:13.800
<v Speaker 11>was not easy to do. You get your reservation and

0:32:13.840 --> 0:32:16.840
<v Speaker 11>then you could get this very small one ounce portion.

0:32:17.120 --> 0:32:21.960
<v Speaker 11>It's tempora and deep fried, and the reviews have generally

0:32:22.000 --> 0:32:25.280
<v Speaker 11>agreed that it tastes like chicken. Some have said that

0:32:25.320 --> 0:32:27.240
<v Speaker 11>it tastes like better than chicken they remember.

0:32:27.280 --> 0:32:29.360
<v Speaker 12>Others are like, it tastes chickeny enough.

0:32:29.760 --> 0:32:32.520
<v Speaker 11>So I think we could say the through line is

0:32:32.640 --> 0:32:35.880
<v Speaker 11>it tastes like chicken, and you know you take that

0:32:35.920 --> 0:32:37.160
<v Speaker 11>for what it's worth.

0:32:37.480 --> 0:32:38.800
<v Speaker 6>Why is it so well?

0:32:39.120 --> 0:32:41.440
<v Speaker 2>Why is it so difficult to do this at scale?

0:32:41.480 --> 0:32:43.280
<v Speaker 2>If they can do one pound, why can't they do

0:32:43.720 --> 0:32:46.320
<v Speaker 2>ten pounds or twenty pounds or one hundred pounds or

0:32:46.320 --> 0:32:47.040
<v Speaker 2>a thousand pounds.

0:32:48.320 --> 0:32:49.120
<v Speaker 4>So if you think.

0:32:49.040 --> 0:32:51.160
<v Speaker 11>About, like say like a cupcake recipe, and you're going

0:32:51.240 --> 0:32:53.400
<v Speaker 11>to make a cupcake recipe, or as I was just

0:32:53.440 --> 0:32:55.840
<v Speaker 11>doing in my house potato lokas, you just double it, right,

0:32:55.880 --> 0:32:59.120
<v Speaker 11>you just make every just put in twice as much,

0:32:59.160 --> 0:33:01.400
<v Speaker 11>and then it takes you maybe a little longer than

0:33:01.440 --> 0:33:04.720
<v Speaker 11>the original recipe to bake it all or to fry

0:33:04.760 --> 0:33:05.840
<v Speaker 11>it all, depending on what you're making.

0:33:05.880 --> 0:33:08.720
<v Speaker 12>Right, It's just not the same with cell culture.

0:33:08.960 --> 0:33:12.560
<v Speaker 11>It's really tricky to get these cells to grow, and

0:33:13.080 --> 0:33:16.720
<v Speaker 11>every time you increase the amount you're growing, you have

0:33:16.800 --> 0:33:20.840
<v Speaker 11>to increase or you have to change other things, like

0:33:20.880 --> 0:33:23.880
<v Speaker 11>what you're feeding the cells. And if you're changing the vessel,

0:33:24.040 --> 0:33:27.880
<v Speaker 11>then that changes things too, and the cells might grow

0:33:28.560 --> 0:33:30.680
<v Speaker 11>just fine in one kind of vessel and then not

0:33:30.760 --> 0:33:31.760
<v Speaker 11>so fine in another.

0:33:32.800 --> 0:33:34.360
<v Speaker 12>For Upside foods.

0:33:33.960 --> 0:33:38.120
<v Speaker 11>They were having success growing very small amounts in these

0:33:38.520 --> 0:33:39.800
<v Speaker 11>plastic one time.

0:33:39.680 --> 0:33:41.920
<v Speaker 12>Use roller bottles that have been part of.

0:33:41.960 --> 0:33:45.480
<v Speaker 11>The biopharmaceutical industry for decades and decades.

0:33:45.760 --> 0:33:47.080
<v Speaker 12>But when they tried to move.

0:33:47.000 --> 0:33:51.560
<v Speaker 11>Into their much larger steel tanks, they had a number

0:33:51.560 --> 0:33:57.520
<v Speaker 11>of problems, including contamination issues, so they just couldn't get

0:33:57.560 --> 0:34:00.360
<v Speaker 11>those tanks to work in any kind of reliable way,

0:34:00.440 --> 0:34:03.520
<v Speaker 11>and they eventually just abandoned them and stuck with these

0:34:03.720 --> 0:34:08.439
<v Speaker 11>very small roller bottles that we were told by former

0:34:08.480 --> 0:34:11.160
<v Speaker 11>employees that for a single night at Barkren, for that

0:34:11.239 --> 0:34:14.560
<v Speaker 11>one pound of meat would use more than one hundred

0:34:14.800 --> 0:34:17.680
<v Speaker 11>of these one time used plastic bottles. And by the way,

0:34:17.719 --> 0:34:20.920
<v Speaker 11>Barkren is a certified plastic free restaurant.

0:34:21.200 --> 0:34:25.920
<v Speaker 10>Some irony that Dina tell us more about Upside foods

0:34:25.920 --> 0:34:30.960
<v Speaker 10>because this has been a multi year odyssey with millions

0:34:30.960 --> 0:34:33.680
<v Speaker 10>of dollars invested in it. So here we are at

0:34:33.719 --> 0:34:36.319
<v Speaker 10>this point, but who's behind it and what are they

0:34:36.640 --> 0:34:39.640
<v Speaker 10>still hoping that they can accomplish.

0:34:39.719 --> 0:34:43.760
<v Speaker 11>So Upside was founded in twenty fifteen. They called themselves

0:34:43.760 --> 0:34:48.120
<v Speaker 11>the first cultivated meat company. They made huge promises about

0:34:48.120 --> 0:34:49.960
<v Speaker 11>what they were going to do. They said they were

0:34:50.000 --> 0:34:51.960
<v Speaker 11>going to be in whole Foods by twenty twenty and

0:34:52.080 --> 0:34:53.480
<v Speaker 11>costco by twenty twenty one.

0:34:54.360 --> 0:34:55.479
<v Speaker 12>They raised a lot of money.

0:34:55.560 --> 0:34:58.440
<v Speaker 11>They've raised more money than any other company in the space,

0:34:58.520 --> 0:35:02.400
<v Speaker 11>more than six hundred million dollars on all of these promises.

0:35:02.800 --> 0:35:07.799
<v Speaker 11>They've raised money from Tyson, They've gotten money from all

0:35:07.920 --> 0:35:12.680
<v Speaker 11>kinds of investors, including you know, some of the more

0:35:12.880 --> 0:35:16.480
<v Speaker 11>mission driven investors that are really looking for sustainable solutions.

0:35:17.120 --> 0:35:22.359
<v Speaker 11>And instead what's happened is that they even as they

0:35:22.360 --> 0:35:26.400
<v Speaker 11>were going through the motions of these FDA and USDA

0:35:26.560 --> 0:35:29.960
<v Speaker 11>clearances and saying publicly that they were ready to scale,

0:35:30.520 --> 0:35:33.280
<v Speaker 11>they are just not ready to scale. They have currently

0:35:33.360 --> 0:35:36.080
<v Speaker 11>a pilot plant that they said when they opened it

0:35:36.120 --> 0:35:39.040
<v Speaker 11>would be capable right off the bat of fifty thousand

0:35:39.160 --> 0:35:43.600
<v Speaker 11>pounds a year as they are currently selling only about

0:35:43.600 --> 0:35:46.560
<v Speaker 11>twelve pounds a year, but they're already talking about their

0:35:46.600 --> 0:35:48.680
<v Speaker 11>next commercial plant that's going to be one hundred and

0:35:48.680 --> 0:35:52.280
<v Speaker 11>eighty seven thousand square feet and capable they say millions

0:35:52.320 --> 0:35:54.200
<v Speaker 11>of pounds production a year.

0:35:54.560 --> 0:35:57.080
<v Speaker 2>Dina Joel started off our interview by talking about the

0:35:57.120 --> 0:36:01.160
<v Speaker 2>other stories that you've done about the faux meat companies

0:36:01.200 --> 0:36:05.320
<v Speaker 2>impossible foods beyond meat. You've been covering this space for years,

0:36:05.320 --> 0:36:08.080
<v Speaker 2>and one theme that's emerged in your reporting over the

0:36:08.160 --> 0:36:11.880
<v Speaker 2>last couple of years is the alternatives to meat have

0:36:12.040 --> 0:36:16.080
<v Speaker 2>not delivered on the promises that investors thought and that

0:36:16.160 --> 0:36:20.640
<v Speaker 2>the companies communicated, and in the at the end of

0:36:20.640 --> 0:36:24.160
<v Speaker 2>the day, it seems like people are going back to

0:36:24.520 --> 0:36:28.440
<v Speaker 2>just regular old meat, and that is an issue for

0:36:28.760 --> 0:36:32.080
<v Speaker 2>a lot of things, one for animal welfare and two

0:36:32.160 --> 0:36:34.600
<v Speaker 2>for climate change. Can you talk a little bit about

0:36:34.640 --> 0:36:36.759
<v Speaker 2>just big picture what you've learned with these stories in

0:36:36.840 --> 0:36:40.279
<v Speaker 2>terms of the staying power of good old fashioned meat.

0:36:42.200 --> 0:36:42.399
<v Speaker 9>Yeah.

0:36:42.440 --> 0:36:43.880
<v Speaker 12>Well, I think there's a few things.

0:36:43.920 --> 0:36:47.120
<v Speaker 11>One is that we definitely see that there is tremendous

0:36:47.120 --> 0:36:50.839
<v Speaker 11>interest in reducing meat consumption. There's interests from investors, there's

0:36:50.880 --> 0:36:54.160
<v Speaker 11>interests from entrepreneurs and there is interest from consumers as well,

0:36:54.480 --> 0:36:58.279
<v Speaker 11>so that's definitely there. But people are not willing to

0:36:58.400 --> 0:37:05.200
<v Speaker 11>make sacrifices on their food experiences, on foods that they love,

0:37:05.680 --> 0:37:07.799
<v Speaker 11>to do something that they think is better for the

0:37:07.880 --> 0:37:12.160
<v Speaker 11>environment or better for animals, and so people, you know,

0:37:13.200 --> 0:37:16.160
<v Speaker 11>people are willing to say, Okay, maybe i'll pay a

0:37:16.160 --> 0:37:18.560
<v Speaker 11>little bit more for this, but they're not willing to

0:37:18.560 --> 0:37:19.320
<v Speaker 11>pay a little.

0:37:19.080 --> 0:37:21.160
<v Speaker 12>Bit more if what they get is a little bit

0:37:21.320 --> 0:37:23.600
<v Speaker 12>less than what they were trading it in for.

0:37:24.040 --> 0:37:28.520
<v Speaker 11>So people are open to reducing their meat consumption, but

0:37:28.680 --> 0:37:32.120
<v Speaker 11>I think they just haven't really been offered anything that

0:37:32.440 --> 0:37:35.839
<v Speaker 11>is as tasty as meat. I would just like to

0:37:35.840 --> 0:37:38.799
<v Speaker 11>plug caviar lentils. They are so good. They don't take

0:37:38.880 --> 0:37:41.720
<v Speaker 11>anything like meat, but they're really good, and they're cheaper

0:37:41.719 --> 0:37:43.400
<v Speaker 11>than meat, and they're really great for the environment if

0:37:43.400 --> 0:37:45.040
<v Speaker 11>you're looking to reduce your meat consumption.

0:37:45.160 --> 0:37:48.920
<v Speaker 10>I really like them, Okay soon. I am also curious

0:37:49.160 --> 0:37:55.560
<v Speaker 10>the strategy that Upside decided to pursue, which was to

0:37:55.719 --> 0:37:57.200
<v Speaker 10>do to make chicken.

0:37:57.760 --> 0:37:58.720
<v Speaker 1>Why chicken?

0:37:59.120 --> 0:38:04.560
<v Speaker 10>Because chickens already pretty affordable and from a planetary standpoint,

0:38:04.600 --> 0:38:07.880
<v Speaker 10>and we know that that cattle have methane emissions and

0:38:07.920 --> 0:38:12.200
<v Speaker 10>that are very intensive land used propositions. But like chicken,

0:38:12.320 --> 0:38:16.960
<v Speaker 10>like why why make a better chicken without the chicken?

0:38:17.000 --> 0:38:21.840
<v Speaker 11>Well, you know, chicken in chicken in the industry is

0:38:21.920 --> 0:38:26.520
<v Speaker 11>generally seen as significantly easier to cultivate those cells than say,

0:38:27.400 --> 0:38:31.000
<v Speaker 11>beef cells. Uh So that's why we've seen a number

0:38:31.040 --> 0:38:33.960
<v Speaker 11>of companies go with chicken. Some of them call it

0:38:34.040 --> 0:38:39.320
<v Speaker 11>like a stepping stone to beef. Upside has not discussed

0:38:39.320 --> 0:38:43.919
<v Speaker 11>it that way. Uma Valletti, the founder, told me years

0:38:43.920 --> 0:38:48.480
<v Speaker 11>ago in an interview that a story involving his daughter

0:38:48.600 --> 0:38:52.160
<v Speaker 11>loving fried chicken. People talk about chicken as you know,

0:38:52.239 --> 0:38:57.000
<v Speaker 11>everybody loves chicken. It's it's a really you know, popular protein,

0:38:57.400 --> 0:39:03.879
<v Speaker 11>but it just not only is it not a particularly

0:39:03.960 --> 0:39:09.000
<v Speaker 11>environmentally destructive protein, especially from a climate perspective, but it's

0:39:09.040 --> 0:39:12.960
<v Speaker 11>also just really cheap. So trying to make a product

0:39:12.960 --> 0:39:17.040
<v Speaker 11>that's gonna compete with it on price is just really, really,

0:39:17.360 --> 0:39:18.000
<v Speaker 11>really hard.

0:39:18.880 --> 0:39:23.240
<v Speaker 10>And so there's other efforts to do things other than chicken.

0:39:23.760 --> 0:39:26.239
<v Speaker 10>How are those faring and what do those competitors have

0:39:26.280 --> 0:39:29.000
<v Speaker 10>to say about upsides approach?

0:39:29.480 --> 0:39:33.400
<v Speaker 11>Well, for example, cultivated seafood company Wild Type is making

0:39:33.680 --> 0:39:36.799
<v Speaker 11>a their focus first on salmon I will say I

0:39:36.840 --> 0:39:40.120
<v Speaker 11>tried their salmon years ago, and I found it to

0:39:40.120 --> 0:39:44.200
<v Speaker 11>be very impressive, And they said that they told me

0:39:44.280 --> 0:39:48.240
<v Speaker 11>that they thought chicken was strategically a bad idea because

0:39:48.320 --> 0:39:49.040
<v Speaker 11>it's so cheap.

0:39:49.320 --> 0:39:50.839
<v Speaker 12>Salmon is really expensive.

0:39:50.920 --> 0:39:54.240
<v Speaker 11>If you ever go to a restaurant like the salmon

0:39:54.320 --> 0:39:57.680
<v Speaker 11>is one hundred percent guaranteed to cost more than the chicken.

0:39:58.480 --> 0:40:02.600
<v Speaker 11>A lot more too, and so, and the oceans have

0:40:02.680 --> 0:40:08.960
<v Speaker 11>their own have plenty of issues, including overfishing, including microplastics.

0:40:09.600 --> 0:40:13.080
<v Speaker 11>Even farm salmon has its own set of issues. It

0:40:13.080 --> 0:40:15.600
<v Speaker 11>can be tricky as a consumer to find a piece

0:40:15.640 --> 0:40:17.359
<v Speaker 11>of salmon that you feel like lives up to your

0:40:17.400 --> 0:40:20.240
<v Speaker 11>values if you care about where your food comes from.

0:40:20.480 --> 0:40:21.560
<v Speaker 12>So that's the way they're going.

0:40:21.600 --> 0:40:25.200
<v Speaker 11>But they've also said, listen, they're moving along. Wild Type

0:40:25.200 --> 0:40:28.440
<v Speaker 11>told me they are encountering their own problems, but they

0:40:28.520 --> 0:40:30.160
<v Speaker 11>feel like they're making steady progress.

0:40:30.480 --> 0:40:32.400
<v Speaker 2>Well, speaking of steady progress, do you know, based on

0:40:32.400 --> 0:40:34.680
<v Speaker 2>your reporting and all the reporting that you've done in

0:40:34.719 --> 0:40:37.240
<v Speaker 2>this space, when do you think it's a realistic time

0:40:38.280 --> 0:40:42.920
<v Speaker 2>that consumers can expect cultivated fish, or cultivated poultry or

0:40:42.920 --> 0:40:46.160
<v Speaker 2>cultivated meat to actually appear at scale.

0:40:46.600 --> 0:40:48.360
<v Speaker 10>He's asking for an interested party.

0:40:48.560 --> 0:40:50.800
<v Speaker 6>Yeah, I would eat this totally. I would totally eat this.

0:40:51.920 --> 0:40:53.759
<v Speaker 11>You know, a number of people have told me that

0:40:53.960 --> 0:40:57.520
<v Speaker 11>they see an opportunity in this market. I've heard two

0:40:57.560 --> 0:41:01.200
<v Speaker 11>different things that sound like feasible opportunities. One is these

0:41:01.239 --> 0:41:07.160
<v Speaker 11>blended products. So maybe it's a mixture of animal fat

0:41:07.480 --> 0:41:10.080
<v Speaker 11>which has a lot of flavor in it and with

0:41:10.160 --> 0:41:13.680
<v Speaker 11>plant based proteins, and then by using just a little

0:41:13.680 --> 0:41:17.160
<v Speaker 11>bit of those cultivated cells with more plant based proteins,

0:41:17.280 --> 0:41:21.200
<v Speaker 11>you are really reducing costs and you are improving. So

0:41:21.200 --> 0:41:23.480
<v Speaker 11>I think like a beyond Burger, but instead of tiny

0:41:23.520 --> 0:41:28.160
<v Speaker 11>little dippin' dot style coconut fat coconut oil fat balls,

0:41:28.160 --> 0:41:29.680
<v Speaker 11>they're like actually.

0:41:29.320 --> 0:41:31.440
<v Speaker 12>Be fat balls or something along those lines.

0:41:31.880 --> 0:41:33.880
<v Speaker 11>And that could I mean I haven't tried that, I

0:41:33.920 --> 0:41:36.880
<v Speaker 11>can't speak to it, but that could theoretically taste a

0:41:36.920 --> 0:41:39.879
<v Speaker 11>lot better and be available much sooner. And then other

0:41:39.920 --> 0:41:42.680
<v Speaker 11>people have said that the opportunity is in like really

0:41:42.760 --> 0:41:46.480
<v Speaker 11>high end meat, so like foie gras or something along

0:41:46.560 --> 0:41:49.160
<v Speaker 11>those lines, where consumers are already expecting to.

0:41:49.120 --> 0:41:51.840
<v Speaker 12>Pay a ton of money, and the.

0:41:51.360 --> 0:41:54.000
<v Speaker 11>Amount that you have to produce to be considered widely

0:41:54.080 --> 0:41:57.560
<v Speaker 11>available is significantly lower than you would have to produce

0:41:57.600 --> 0:41:59.239
<v Speaker 11>for something like chicken or pork or beef.

0:42:00.200 --> 0:42:02.320
<v Speaker 10>Can't wait, can't wait to watch this space.

0:42:03.840 --> 0:42:05.960
<v Speaker 2>We did this whole interview Joel, and didn't talk about

0:42:06.000 --> 0:42:07.480
<v Speaker 2>fetal bovine sirus here.

0:42:07.520 --> 0:42:09.680
<v Speaker 10>I mean we still have time we do or I

0:42:09.719 --> 0:42:14.160
<v Speaker 10>could just run out the clock by speaking very slowly.

0:42:14.239 --> 0:42:18.520
<v Speaker 2>Let's just say that they're not completely animal free products

0:42:18.520 --> 0:42:19.120
<v Speaker 2>at this point.

0:42:19.920 --> 0:42:23.160
<v Speaker 10>Well, and stay tuned for more great reporting from Dina Shinker.

0:42:23.520 --> 0:42:26.040
<v Speaker 2>Yeah, Dina, always love it when you join us. And

0:42:26.320 --> 0:42:28.360
<v Speaker 2>even if the stories about lap grow and meet, I

0:42:28.440 --> 0:42:31.000
<v Speaker 2>still get hungry when we talk about it. Tina Shaker,

0:42:31.000 --> 0:42:34.120
<v Speaker 2>consumer reporter for Bloomberg News, joining us on soon from

0:42:34.160 --> 0:42:36.480
<v Speaker 2>New York. Also here the editor of Bloomberg Business Week,

0:42:36.520 --> 0:42:39.480
<v Speaker 2>Joel Webber, Joel, would you eat this stuff?

0:42:39.320 --> 0:42:42.560
<v Speaker 10>If ever there's more than the little bit that exists

0:42:42.560 --> 0:42:45.399
<v Speaker 10>in the world, I would try it. I would try

0:42:45.440 --> 0:42:47.600
<v Speaker 10>it per person. I don't think I'm going to be

0:42:47.640 --> 0:42:48.560
<v Speaker 10>seeing anytime soon.

0:42:48.920 --> 0:42:52.920
<v Speaker 2>Okay, yeah, well we'll see, We'll see you're listening and

0:42:52.960 --> 0:42:55.480
<v Speaker 2>watching it. Bloomberg Business Week on at Bloomberg Radio on

0:42:55.480 --> 0:42:58.200
<v Speaker 2>serious XM Channel one twenty one, on Bloomberg Reginals, and

0:42:58.320 --> 0:42:58.960
<v Speaker 2>on YouTube.

0:42:59.000 --> 0:43:06.480
<v Speaker 6>This is Bloomberg Bus this week, Brother Marca.

0:43:07.960 --> 0:43:08.640
<v Speaker 1>The journal.

0:43:09.640 --> 0:43:10.080
<v Speaker 9>Now about you?

0:43:10.160 --> 0:43:10.680
<v Speaker 1>Let me drive?

0:43:10.920 --> 0:43:12.759
<v Speaker 9>Oh no, no, no, no's.

0:43:14.000 --> 0:43:16.360
<v Speaker 3>Honey, please, I'll do the travels.

0:43:16.640 --> 0:43:18.200
<v Speaker 9>Excuse me, I want to drive.

0:43:18.239 --> 0:43:22.000
<v Speaker 5>It's good, question good.

0:43:25.160 --> 0:43:27.080
<v Speaker 6>This is the drive to the clothes.

0:43:28.520 --> 0:43:31.560
<v Speaker 1>We'll buy around each other down on Bloomberg Radio.

0:43:31.800 --> 0:43:34.000
<v Speaker 2>All right, well here we are less than eighteen minutes

0:43:34.000 --> 0:43:36.120
<v Speaker 2>to go to the close of us trading here on

0:43:36.120 --> 0:43:38.240
<v Speaker 2>this and Monday, December eighteenth.

0:43:37.840 --> 0:43:39.560
<v Speaker 6>Twenty twenty three. I'm Tim. Stand back.

0:43:39.600 --> 0:43:42.960
<v Speaker 2>Carol Master is out this afternoon. It is Bloomberg Business week.

0:43:42.960 --> 0:43:44.880
<v Speaker 2>It's time for Drive to the clothes. For that, we

0:43:44.920 --> 0:43:47.640
<v Speaker 2>go to Jay Jacob's US head of Thematics and Active

0:43:47.640 --> 0:43:51.719
<v Speaker 2>Equity ETFs over at black Rock. He joins us on

0:43:51.760 --> 0:43:54.400
<v Speaker 2>a Zoom from New York City. Jay, good to have

0:43:54.520 --> 0:43:57.400
<v Speaker 2>you with us this afternoon. Full disclosure to our audience,

0:43:57.560 --> 0:43:59.000
<v Speaker 2>you and I sat next to each other in a

0:43:59.000 --> 0:44:02.080
<v Speaker 2>few classes business school, so that's how we know each other.

0:44:03.000 --> 0:44:05.160
<v Speaker 2>And you're now at Blackrock and I'm here at Bloomberg,

0:44:05.239 --> 0:44:07.040
<v Speaker 2>and we get to talk ETFs a little bit.

0:44:07.080 --> 0:44:07.480
<v Speaker 6>How are you?

0:44:08.320 --> 0:44:08.880
<v Speaker 3>I am great.

0:44:08.880 --> 0:44:09.680
<v Speaker 9>How are you doing? Tim?

0:44:09.760 --> 0:44:09.960
<v Speaker 1>Yeah?

0:44:10.000 --> 0:44:11.319
<v Speaker 6>Doing pretty well? Doing pretty well?

0:44:11.360 --> 0:44:13.400
<v Speaker 2>Hey, did this rally. You know, you just heard the

0:44:13.440 --> 0:44:15.640
<v Speaker 2>numbers from Charlie Pellett. There did this rally over the

0:44:15.680 --> 0:44:17.359
<v Speaker 2>last eight weeks? Did they to catch you off guard?

0:44:18.760 --> 0:44:20.680
<v Speaker 9>I think it caught a lot of investors off guard

0:44:20.680 --> 0:44:23.840
<v Speaker 9>because we've seen six trillion dollars in money market funds

0:44:23.840 --> 0:44:27.040
<v Speaker 9>in the United States this year, eight billion dollars globally,

0:44:27.280 --> 0:44:29.960
<v Speaker 9>So a lot of people were looking at cash hields

0:44:29.960 --> 0:44:32.600
<v Speaker 9>and thinking, I don't know what's happening in the markets.

0:44:32.640 --> 0:44:34.760
<v Speaker 9>I don't like the risk out there of a recession

0:44:34.800 --> 0:44:38.000
<v Speaker 9>or general volatility. I'm going to take four or five

0:44:38.080 --> 0:44:40.359
<v Speaker 9>percent yield in cash and call it a day. And

0:44:40.400 --> 0:44:42.799
<v Speaker 9>instead we've seen the SMPS now I've almost twenty five

0:44:42.840 --> 0:44:46.040
<v Speaker 9>percent on the year. That's the risk of holding cash.

0:44:46.160 --> 0:44:48.400
<v Speaker 9>We know over the long run, participating in markets is

0:44:48.440 --> 0:44:50.880
<v Speaker 9>key to investor success. Trying to time it can be

0:44:51.000 --> 0:44:52.879
<v Speaker 9>very difficult, though, So I think this's caught a lot

0:44:52.880 --> 0:44:53.760
<v Speaker 9>of people off guard.

0:44:54.000 --> 0:44:56.440
<v Speaker 2>Yeah, trying to time it as a fool's Errand I mean,

0:44:56.480 --> 0:44:59.200
<v Speaker 2>ask anyone who missed this this rally here, Jay. That's

0:44:59.200 --> 0:45:01.640
<v Speaker 2>the thing though, there is still you know, trillions of

0:45:01.680 --> 0:45:05.000
<v Speaker 2>dollars on the sidelines right now in these money market funds.

0:45:05.000 --> 0:45:07.640
<v Speaker 2>In these cash funds, how do you see that getting

0:45:07.680 --> 0:45:10.920
<v Speaker 2>deployed in twenty twenty four, I think.

0:45:10.760 --> 0:45:13.560
<v Speaker 9>The bar is high to bring that cash off the sidelines.

0:45:13.680 --> 0:45:16.120
<v Speaker 9>Investers have voted with their dollars this year. They've said

0:45:16.160 --> 0:45:18.800
<v Speaker 9>they like the yield. If you're going to take money

0:45:18.840 --> 0:45:21.040
<v Speaker 9>out of cash, out of a yield, you know, a

0:45:21.080 --> 0:45:23.880
<v Speaker 9>yielding a bank account, and put it into the markets,

0:45:23.920 --> 0:45:26.000
<v Speaker 9>you need to have a really compelling reason why. And

0:45:26.040 --> 0:45:28.440
<v Speaker 9>so we are looking at, really what are the specific

0:45:28.480 --> 0:45:31.239
<v Speaker 9>areas that are exciting. I think the challenge him is

0:45:31.239 --> 0:45:33.000
<v Speaker 9>if you look back over the last ten years or so,

0:45:33.040 --> 0:45:35.200
<v Speaker 9>we call it the Great Moderation. You know, interest rates

0:45:35.200 --> 0:45:38.720
<v Speaker 9>were following, growth was strong. It was really a great

0:45:38.800 --> 0:45:41.000
<v Speaker 9>time to be in just a sixty forty portfolio. It

0:45:41.000 --> 0:45:43.680
<v Speaker 9>almost didn't matter what you bought, almost all assets were rising.

0:45:44.160 --> 0:45:48.000
<v Speaker 9>But now in this higher volatility, high interest rate environment,

0:45:48.320 --> 0:45:50.319
<v Speaker 9>you really have to get more precise about honing in

0:45:50.320 --> 0:45:52.040
<v Speaker 9>on where the growth areas are in the market. And

0:45:52.040 --> 0:45:53.560
<v Speaker 9>I think that's where investors are going to have to

0:45:53.640 --> 0:45:56.279
<v Speaker 9>do their homework of looking at I want to come

0:45:56.320 --> 0:45:58.399
<v Speaker 9>out of cash, but what are the attractive areas. It's

0:45:58.440 --> 0:45:59.759
<v Speaker 9>not just about broad benchmarks.

0:46:00.400 --> 0:46:02.560
<v Speaker 2>Okay, so let's talk about the thematic outlook that you

0:46:02.600 --> 0:46:06.400
<v Speaker 2>guys have over at I Shares by Blackrock. You talk

0:46:06.440 --> 0:46:09.080
<v Speaker 2>about this higher bar. I know you're also really interested

0:46:09.120 --> 0:46:13.400
<v Speaker 2>in AI. And if we characterize twenty twenty three, and

0:46:14.480 --> 0:46:17.080
<v Speaker 2>you know, really, if there's one way to describe twenty

0:46:17.080 --> 0:46:20.320
<v Speaker 2>twenty three, it's certainly the year when investors started paying

0:46:20.440 --> 0:46:22.960
<v Speaker 2>very close attention to AI, and we saw some big

0:46:23.000 --> 0:46:27.600
<v Speaker 2>winners in Nvidia, Microsoft, and even some startups like open

0:46:27.640 --> 0:46:30.040
<v Speaker 2>ai as well. How are you guys thinking about AI

0:46:30.120 --> 0:46:31.040
<v Speaker 2>in twenty twenty four?

0:46:32.600 --> 0:46:35.520
<v Speaker 9>We see AI in twenty twenty three is really just

0:46:35.560 --> 0:46:38.520
<v Speaker 9>the proof of concept year. Chat GPT burst onto the scene,

0:46:38.560 --> 0:46:40.960
<v Speaker 9>a bunch of people played around with the technology, but

0:46:41.080 --> 0:46:43.680
<v Speaker 9>not a lot of commercial adoption. You haven't seen billions

0:46:43.680 --> 0:46:45.600
<v Speaker 9>of dollars in revenue coming to a lot of these

0:46:46.120 --> 0:46:49.440
<v Speaker 9>AI companies yet. So twenty twenty four is going to

0:46:49.440 --> 0:46:52.239
<v Speaker 9>be that year of commercial success where this technology is

0:46:52.280 --> 0:46:54.880
<v Speaker 9>proven and you're going to start to see more enterprise

0:46:54.960 --> 0:46:58.239
<v Speaker 9>applications for AI as well as more consumer applications. I think,

0:46:58.600 --> 0:47:01.400
<v Speaker 9>just an example, you know, we've seen some companies already

0:47:01.400 --> 0:47:04.000
<v Speaker 9>say they expect to save hundreds of millions of dollars

0:47:04.520 --> 0:47:07.840
<v Speaker 9>in client service because now they can use AI to

0:47:08.080 --> 0:47:10.360
<v Speaker 9>respond to basic questions, you know, how do I reset

0:47:10.400 --> 0:47:13.319
<v Speaker 9>my password or do I find my account information? And

0:47:13.360 --> 0:47:15.719
<v Speaker 9>they can you know, really use AI for kind of

0:47:15.760 --> 0:47:19.160
<v Speaker 9>that low hanging through questions from clients, whereas using their

0:47:19.200 --> 0:47:22.880
<v Speaker 9>more sophisticated human answers for the more sophisticated questions. So,

0:47:23.120 --> 0:47:26.560
<v Speaker 9>in fact, about sixty percent of CEOs who intend to

0:47:26.600 --> 0:47:28.360
<v Speaker 9>use more AI next year have said they want to

0:47:28.360 --> 0:47:30.800
<v Speaker 9>do so for cost saving measures. So if we're in

0:47:30.840 --> 0:47:33.879
<v Speaker 9>a tight economy and AI is looking really promising as

0:47:33.880 --> 0:47:35.680
<v Speaker 9>a technology, I think we're going to see much more

0:47:35.719 --> 0:47:38.319
<v Speaker 9>investment in it for companies to bring down their cost base.

0:47:38.440 --> 0:47:39.880
<v Speaker 2>So what are the types of companies that end up

0:47:39.920 --> 0:47:42.120
<v Speaker 2>being the beneficiaries there. Let's say that you know, people

0:47:42.120 --> 0:47:43.759
<v Speaker 2>are saying to themselves, well, wait a second. You know,

0:47:43.840 --> 0:47:46.200
<v Speaker 2>we know that Nvidia has done really well this year,

0:47:46.600 --> 0:47:49.360
<v Speaker 2>but now we're enter the part of the AI revolution

0:47:49.440 --> 0:47:51.640
<v Speaker 2>where we start to see companies, as you mentioned, embrace

0:47:51.719 --> 0:47:54.719
<v Speaker 2>this technology and lead to real cost savings. Which are

0:47:54.760 --> 0:47:56.160
<v Speaker 2>the types of companies that are going to do that?

0:47:57.080 --> 0:47:59.319
<v Speaker 9>Yeah, we really have to look across the AI tech

0:47:59.320 --> 0:48:01.600
<v Speaker 9>stack to find companies. So at the basic level, you

0:48:01.640 --> 0:48:04.080
<v Speaker 9>look at the hardware. Those are the semiconductors that are

0:48:04.080 --> 0:48:06.440
<v Speaker 9>really powering these AI systems that include some of the

0:48:06.480 --> 0:48:09.279
<v Speaker 9>really powerful GPU manufacturers, but also includes several of the

0:48:09.320 --> 0:48:13.320
<v Speaker 9>CPU manufacturers that can be really efficient for AI processing.

0:48:14.000 --> 0:48:17.080
<v Speaker 9>One level above that, you can look at digital infrastructure.

0:48:17.120 --> 0:48:19.720
<v Speaker 9>Where is all these semiconductors being housed. You know, AI

0:48:19.760 --> 0:48:22.040
<v Speaker 9>doesn't just happen in the air in the cloud, it

0:48:22.080 --> 0:48:25.600
<v Speaker 9>has a physical location where these calculations are happening. It's

0:48:25.640 --> 0:48:28.440
<v Speaker 9>the data owners. Data is the fuel into AI. So

0:48:28.480 --> 0:48:30.480
<v Speaker 9>the companies that own the most data, have the most

0:48:30.600 --> 0:48:35.000
<v Speaker 9>valuable data, are sitting potentially on really valuable information there.

0:48:35.600 --> 0:48:38.239
<v Speaker 9>And then finally at the highest order, these are the

0:48:38.239 --> 0:48:41.440
<v Speaker 9>companies that are building applications using AI. So if we

0:48:41.480 --> 0:48:43.920
<v Speaker 9>take a step back and look at the last decade

0:48:44.000 --> 0:48:48.160
<v Speaker 9>or so, a platform technology that built many businesses was

0:48:48.280 --> 0:48:51.320
<v Speaker 9>four G technology. It allowed us to get data faster

0:48:51.640 --> 0:48:53.960
<v Speaker 9>on our cell phones anywhere where we were in the world.

0:48:54.320 --> 0:48:57.880
<v Speaker 9>That allowed for things like mobile e commerce, mobile social media,

0:48:57.960 --> 0:48:59.840
<v Speaker 9>so that we could stream videos and shop wherever we

0:48:59.880 --> 0:49:03.279
<v Speaker 9>are are. The new platform technology for the next ten

0:49:03.360 --> 0:49:05.399
<v Speaker 9>years is going to be AI. What is the next

0:49:05.440 --> 0:49:07.440
<v Speaker 9>e commerce? What is the next social media that's going

0:49:07.480 --> 0:49:09.600
<v Speaker 9>to be built on top of that technology?

0:49:10.520 --> 0:49:13.680
<v Speaker 2>Hey, what about when it comes to just geopolitical events

0:49:13.719 --> 0:49:16.360
<v Speaker 2>and demographic changes that you see happening and that you

0:49:16.400 --> 0:49:19.920
<v Speaker 2>guys are planning for in terms of your the products

0:49:19.920 --> 0:49:23.560
<v Speaker 2>that you offer at I Shares by black Rock. Let's

0:49:23.600 --> 0:49:26.279
<v Speaker 2>talk presidential election in the next year. I mean, how

0:49:26.280 --> 0:49:27.680
<v Speaker 2>should investors be thinking about that?

0:49:29.280 --> 0:49:32.040
<v Speaker 9>Well, I actually think this goes beyond the presidential election.

0:49:32.080 --> 0:49:34.080
<v Speaker 9>If you look at really from the end of World

0:49:34.160 --> 0:49:37.040
<v Speaker 9>War Two through the global financial crisis, you saw globalization

0:49:37.520 --> 0:49:40.760
<v Speaker 9>really in one direction, more and more globally integrated trade.

0:49:41.080 --> 0:49:43.319
<v Speaker 9>But over the last few years you've started to see

0:49:43.400 --> 0:49:45.880
<v Speaker 9>new industrial policy in the United States with things like

0:49:45.920 --> 0:49:49.120
<v Speaker 9>the Infrastructure Investments and Jobs Act, the Chips and Science Act,

0:49:49.960 --> 0:49:53.920
<v Speaker 9>the Inflation Reduction Act, always to build more critical industries

0:49:54.040 --> 0:49:56.960
<v Speaker 9>in the United States, like sending conductors and electric vehicles,

0:49:58.160 --> 0:50:00.960
<v Speaker 9>and that means that we need a lot more manufacturing,

0:50:00.960 --> 0:50:02.799
<v Speaker 9>but we also need a lot more partner countries that

0:50:02.800 --> 0:50:05.799
<v Speaker 9>can help us build all those things. Earlier this year,

0:50:05.920 --> 0:50:08.400
<v Speaker 9>Mexico became the biggest trade partner of the United States.

0:50:08.560 --> 0:50:12.279
<v Speaker 9>A huge landscape shift there, we've seen more trade with

0:50:12.400 --> 0:50:15.160
<v Speaker 9>India and frankly reduced tariffs with India. As we're looking

0:50:15.200 --> 0:50:18.799
<v Speaker 9>to diversify supply chains into other countries around South and

0:50:18.840 --> 0:50:21.640
<v Speaker 9>Southeast Asia. So as we try to build more and

0:50:21.680 --> 0:50:25.959
<v Speaker 9>really secure key industries in the United States, it also

0:50:26.000 --> 0:50:28.279
<v Speaker 9>comes down to who are the partner countries that the

0:50:28.400 --> 0:50:31.320
<v Speaker 9>United States wants to work with for these new supply chains.

0:50:31.520 --> 0:50:33.560
<v Speaker 2>Jay, we only have like twenty seconds left, but given

0:50:33.600 --> 0:50:35.080
<v Speaker 2>that we're up almost twenty five percent in the s

0:50:35.120 --> 0:50:37.839
<v Speaker 2>and P five hundred, are you bullish overall next year?

0:50:38.920 --> 0:50:39.279
<v Speaker 1>I am.

0:50:39.400 --> 0:50:41.600
<v Speaker 9>I think I'm very optimistic that a lot of the

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<v Speaker 9>cash on the sidelines is going to find these attractive

0:50:43.840 --> 0:50:48.640
<v Speaker 9>areas like AI, like geopolitical fragmentation and our aging populations.

0:50:49.320 --> 0:50:52.400
<v Speaker 2>All right, Jay, really appreciate you joining us. Happy holidays

0:50:52.440 --> 0:50:55.439
<v Speaker 2>if we don't connect before now in the next couple

0:50:55.520 --> 0:50:58.759
<v Speaker 2>of weeks. J Jacobs is US head of Thematics and

0:50:58.840 --> 0:51:02.680
<v Speaker 2>Active Equity ETFs over at Blackrock. He joins us on

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<v Speaker 2>Zoom from New York City.

0:51:05.080 --> 0:51:09.759
<v Speaker 1>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

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<v Speaker 1>and anywhere else you get your podcast. Listen live weekday

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