WEBVTT - Markets Rebound on Strong Start for Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 2>Even if you didn't read the eight hundred and thirty pages.

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<v Speaker 2>It had a lovely purple lavender cover and you could

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<v Speaker 2>walk around campus toading your Absfeld and rogueoff and you

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<v Speaker 2>get cool points just for that. Joining us now. One

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<v Speaker 2>of the Foundation academics we have on our international macroeconomics

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<v Speaker 2>Maurice Obsfeld. He's with the Peterson Institute with Posen and Blanchard.

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<v Speaker 2>He is at Berkeley forever and always professor. Thank you

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<v Speaker 2>so much for joining us. What I see in percolate

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<v Speaker 2>right now, Maurice Sobsfeld, is real tensions about supply lines

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<v Speaker 2>falling apart, supply lines fragile because of tariffs, the interstitial,

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<v Speaker 2>the interstitual.

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<v Speaker 3>Wiring of our trade system. Is it broken.

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<v Speaker 4>It's not broken yet, but it's understrained. It's understrained because

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<v Speaker 4>of tariffs. It's understrained because of geopolitical tensions. It's understrained

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<v Speaker 4>because of the trade war. And we can see this

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<v Speaker 4>and the threats flying back between President Trump and China

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<v Speaker 4>right now over everything from shipping to rar earths to

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<v Speaker 4>cooking oil.

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<v Speaker 2>There just seems to be two Americas, one affected by

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<v Speaker 2>goods and trade worry and angst, in another a financial boom.

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<v Speaker 2>Like Morgan Stanley, can we exist like this?

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<v Speaker 4>Well, you know, the US economy has become increasingly financialized

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<v Speaker 4>over the decades, and you know, at some level, the

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<v Speaker 4>US is the world's banker at this point. And interestingly,

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<v Speaker 4>finance hasn't seen the kind of backlash that we've seen

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<v Speaker 4>against trade. You know, trade is blamed for deficits with

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<v Speaker 4>other countries, it's blamed for the declient of manufacturing. You know,

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<v Speaker 4>we don't see people wanting to curb financial transactions. Quite

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<v Speaker 4>the contrary, we're seeing deregulation stable coins and the like.

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<v Speaker 4>So there really really is a divorce between those two sectors.

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<v Speaker 4>And you know, the question I have is can that

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<v Speaker 4>go on forever?

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<v Speaker 3>Yeah?

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<v Speaker 4>Or will the trade tensions eventually feed into the financial sphere?

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<v Speaker 5>I think they will.

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<v Speaker 6>And Professor, that's kind of where we are right now.

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<v Speaker 6>The folks that are supporting tariffs. They say, we are

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<v Speaker 6>not seeing.

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<v Speaker 7>The economy slow down.

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<v Speaker 6>We recently had a very strong third quarter GDP print,

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<v Speaker 6>not seeing a material increase in inflation data, although we

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<v Speaker 6>are now lacking data because of the shutdown. So again

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<v Speaker 6>the supporters of tariffs are saying, we're just not seeing

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<v Speaker 6>those economic headwinds coming from tariffs. So my question to

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<v Speaker 6>you is is it just a matter of time or

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<v Speaker 6>are corporations adapting?

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<v Speaker 5>Oh? I think it's a matter of time.

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<v Speaker 4>There is some adaptation, of course, as corporations look for

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<v Speaker 4>cheaper suppliers.

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<v Speaker 5>But you know, just look at what we've seen.

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<v Speaker 4>We have not seen any material fall in the dollar

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<v Speaker 4>prices that foreign countries charge for US. We've seen some

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<v Speaker 4>limited increase in consumer prices of imported goods and close

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<v Speaker 4>substitutes for those imported goods, but not enough to offset

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<v Speaker 4>the tariff. But we've also seen substantial revenue coming into

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<v Speaker 4>the treasury from tariffs, which is being paid by our importers.

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<v Speaker 5>So how do you square that circle?

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<v Speaker 3>Right?

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<v Speaker 4>You square it with a hit to profitability and with

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<v Speaker 4>the observation that firms have been swallowing these tariffs to

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<v Speaker 4>some extent while they wait for tariff policy to stabilize

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<v Speaker 4>and figure out what it's going to be going forward

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<v Speaker 4>now that we kind of know where we are with tariffs.

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<v Speaker 4>To some extent, I think firms are going to be

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<v Speaker 4>adjusting by passing those cost increases on.

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<v Speaker 2>Professor Obsfeld synthesize here, say the work of Douglas or

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<v Speaker 2>when at Dartmouth with down the hall from you at Berkeley,

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<v Speaker 2>Barry Kengreen, and this whole trade up set and the

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<v Speaker 2>risk to the dollar. This goes back to Obsfeld, Rogueoff,

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<v Speaker 2>and frankly back to Mundell. I'm assuming you don't have

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<v Speaker 2>a fear of the gloom crew on a dollar.

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<v Speaker 3>Is that correct? The gloom crew?

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<v Speaker 4>You know, I'm worried long term about the status of

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<v Speaker 4>the dollar. I think they're very strong forces keeping the

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<v Speaker 4>dollar in the prime position it's in in global markets

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<v Speaker 4>as the world's currency. But foreign countries are increasingly worried

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<v Speaker 4>about the kind of course of punitive actions that this

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<v Speaker 4>administration has been taken to enforce its will globally, not

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<v Speaker 4>just in the trade sphere, but looking at issues like

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<v Speaker 4>internal politics. You know, we see this across the board

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<v Speaker 4>for positive and negative. The Treasury right now is bailing

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<v Speaker 4>out Argentina for largely political reasons. So I think I

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<v Speaker 4>think the bottom line is that that foreign countries no

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<v Speaker 4>longer trust the US as a responsible steward of the

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<v Speaker 4>global economy are going to seek to decouple and sure

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<v Speaker 4>themselves against policy volatility emanating from right.

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<v Speaker 2>Here, Mars, I gotta get a breaking news, Paul. Can

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<v Speaker 2>I ask a rude question of Professor Hobsfeld? Yeah, professor,

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<v Speaker 2>and iiching green question for you, Maurice Hobsfeld on gold

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<v Speaker 2>at four dollars announce?

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<v Speaker 3>What would Barry say?

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<v Speaker 4>I'm not going to speak for Barry, my good and

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<v Speaker 4>longtime friend, but I think he would say that.

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<v Speaker 5>I guess I am speaking for him. I want to

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<v Speaker 5>speak for myself.

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<v Speaker 4>Barry and I agree about a lot of things, not everything.

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<v Speaker 4>You know, gold is a bell weather of fear, and

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<v Speaker 4>the escalation in its price is far beyond what you

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<v Speaker 4>would expect to see coming from inflationary fears. Although I

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<v Speaker 4>think that's part of the picture. I think it be

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<v Speaker 4>tokens a shift into something that is perceived as safer

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<v Speaker 4>than the dollar and not subject to.

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<v Speaker 5>Extra territorial action by the US.

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<v Speaker 4>I mean, you know, we've seen the escalation and price

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<v Speaker 4>We've also seen increasing purchases of gold by emerging market

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<v Speaker 4>central banks. A lot of that is China, but not

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<v Speaker 4>all of it is China, Okay, So that I think

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<v Speaker 4>tells us something.

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<v Speaker 5>About the fear out there.

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<v Speaker 4>And you know, the escalation and bitcoin prices is a

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<v Speaker 4>similar phenomenon.

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<v Speaker 3>Professor got to leave it there too short a visit.

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<v Speaker 3>Thank you so much.

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<v Speaker 2>Thank you to you and the Peterson Institute, Adam Posen,

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<v Speaker 2>Professor Blanchard and others for just great support of what

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<v Speaker 2>we do. Marky Sobsfeld forever from the University of California

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<v Speaker 2>at Berkeley.

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<v Speaker 3>Stay with us.

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<v Speaker 2>More from Bloomberg Surveillance coming up after this.

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<v Speaker 1>Are listening to the Bloomberg Surveillance podcast. Catch us live

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<v Speaker 2>Chris Whalen is definitive on the American financial system. I'm

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<v Speaker 2>standing or surrounded by dinosaurs in Houston, and I'm going

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<v Speaker 2>I think I got Chris Whalen in a couple of days.

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<v Speaker 2>Must listen for Global Wall Street, he joins us. Now

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<v Speaker 2>I can't say enough about his value to the American

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<v Speaker 2>financial system, his history, his books, and also his work

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<v Speaker 2>at Whaling Global Advisors. Chris, I'm just going to cut

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<v Speaker 2>to the chase. First Brands try Coller have a Are

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<v Speaker 2>we living two thousand and six?

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<v Speaker 8>Chris Whalen, Yeah, we're kind of repeating the same mistakes.

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<v Speaker 8>You know, if you don't have a trustee to hold

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<v Speaker 8>the paper, then you have double pledges of collateral. Remember

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<v Speaker 8>bear Stearns. Yeah, I'm familiar, same same things. So it's

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<v Speaker 8>called fraud. And you know, the terms on a lot

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<v Speaker 8>of deals in the past ten fifteen years have loosened

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<v Speaker 8>in favor of the issuers to the disadvantage of investors.

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<v Speaker 8>And First Brand is a case in point.

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<v Speaker 2>Chris Wayman, there was no other question at my CFA

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<v Speaker 2>meeting in Houston, no other question. What's the contagion You're

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<v Speaker 2>expert at the history of this. Come on, Is it

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<v Speaker 2>like Continental Illinois? Is it like bear Stearns? As you mentioned,

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<v Speaker 2>what's a contagion factor? In October of twenty twenty.

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<v Speaker 8>Five, it's brewing. We won't really see it until we do.

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<v Speaker 3>So.

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<v Speaker 8>The commercial side of the equation is where the problems

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<v Speaker 8>are for the banks, right now they are trying to

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<v Speaker 8>hide them as best they can. We've just changed the

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<v Speaker 8>accounting rules for loan modifications, by the way, so if

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<v Speaker 8>it pays for twelve months, we pretend the loan was

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<v Speaker 8>never modified. How cool is that? And I think that

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<v Speaker 8>the industry of the rate laters are all walking past

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<v Speaker 8>the graveyard because private equity, commercial real estate, all of

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<v Speaker 8>these sectors are still having significant problems. On the other hand,

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<v Speaker 8>consumer is quiet. We've been releasing reserves and reducing provisions

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<v Speaker 8>for loan loss on the consumer side because there's nothing

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<v Speaker 8>happening yet that may come next year. But the commercial

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<v Speaker 8>side is where the action is right now, Tom.

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<v Speaker 6>Chris, I've learned a new term, I guess in the

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<v Speaker 6>last few weeks, and that is the basement trade. Where

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<v Speaker 6>is my understanding is investors are saying, I'm worried about

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<v Speaker 6>all this government spending around the world, So maybe I

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<v Speaker 6>don't want to own government securities like currencies, maybe even

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<v Speaker 6>the government debt, and that includes the US stuff.

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<v Speaker 7>Maybe I'll buy some other stuff like gold. What do

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<v Speaker 7>you make of that?

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<v Speaker 8>I've been telling my readers to put at least ten

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<v Speaker 8>to fifteen percent of their total allocation in the gold

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<v Speaker 8>for most of this year, and I think it's solely

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<v Speaker 8>beginning to start for the simple reason that there isn't

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<v Speaker 8>a lot of deliverable supplying gold. People are worried about deficits.

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<v Speaker 8>They are worried about the dollar, and I think they're

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<v Speaker 8>right to do so. The dollar is probably going to

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<v Speaker 8>continue to go down. We have structural problems in this country.

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<v Speaker 8>You notice Chairman Powell is talking about continuing to shrink

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<v Speaker 8>the balance sheet.

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<v Speaker 3>Why.

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<v Speaker 8>As Bill Nelson at Bank Policy Institute wrote this week,

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<v Speaker 8>the Fed funds market may collapse thanks to the big

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<v Speaker 8>balance sheet. So we have a lot of issues. In

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<v Speaker 8>the background. The markets look great AI, everybody's still making

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<v Speaker 8>tons of money. But in the background, people are worried

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<v Speaker 8>because when you have these old time highs one after another,

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<v Speaker 8>they tend to not be confirmed after a while.

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<v Speaker 2>For Global Wall Street Worldwide on YouTube, across all of

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<v Speaker 2>our audio product Christopher Whalan joins us his one volume

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<v Speaker 2>on the American Financial system, my book of the Year.

0:11:55.720 --> 0:11:58.720
<v Speaker 2>Ages ago were begging him, He's going to put a book.

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<v Speaker 2>DiCaprio skeed.

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<v Speaker 7>Oh, I got to signed up and continue with Chris Whaley.

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<v Speaker 3>Chris talked to us.

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<v Speaker 6>About liquidity in the marketplace, and I'm thinking about not

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<v Speaker 6>so much as stock market, but just kind of across

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<v Speaker 6>the fixed income space, maybe the currency space.

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<v Speaker 7>Is that a worry for you, Yes.

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<v Speaker 3>Very much. So.

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<v Speaker 8>It's almost like we're back to December twenty eighteen when

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<v Speaker 8>Jerome Powell almost ran the ship aground. You recall they

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<v Speaker 8>pivoted very quickly in January nineteen and started easing. That's

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<v Speaker 8>when they went to this ample reserve policy that they've

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<v Speaker 8>had since then.

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<v Speaker 3>And I think that what we're worried about.

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<v Speaker 8>Is that the model that the FED uses to judge

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<v Speaker 8>whether liquidity is adequate or not is based on GDP,

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<v Speaker 8>which has nothing to do with anything. Liquidity is highly compartmentalized.

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<v Speaker 8>It does not flow one way in another, so you

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<v Speaker 8>really don't know until there's not enough.

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<v Speaker 5>Chris, I think that's where we are today.

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<v Speaker 2>I gotta get two things in here. It's too important.

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<v Speaker 2>Sweeney's lined up. Sweeny's got notes this morning for Chris Whalen.

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<v Speaker 2>I have Christopher Waller tomorrow. What is Chris Whalen's question

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<v Speaker 2>for Governor Waller A presultive chairman, What's your question?

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<v Speaker 3>Whalen?

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<v Speaker 8>He was very bullish on shrinking the balance sheet earlier

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<v Speaker 8>this year. Ask him how he feels now? Ask him

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<v Speaker 8>where round is now?

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<v Speaker 3>I don't have to work.

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<v Speaker 8>We're landing in the fall. We don't have an altimeter. Okay,

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<v Speaker 8>where is the ground? Does he know? That's the key question?

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<v Speaker 5>Broll.

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<v Speaker 3>Yeah, we'll try to get to that again.

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<v Speaker 2>You're going to see that in the nine o'clock hour

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<v Speaker 2>tomorrow with Christopher wall in his speech at the Council

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<v Speaker 2>and Foreign Relations, and then I will grill him as

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<v Speaker 2>best I can. He's really quite He's a prodigious intellect, folks,

0:13:46.600 --> 0:13:49.320
<v Speaker 2>particularly in the game theory of central banking.

0:13:49.400 --> 0:13:51.480
<v Speaker 3>Okay, Chris, let's go to it right now.

0:13:52.160 --> 0:13:55.760
<v Speaker 2>I suggest that the major banks, led by JP Morgan

0:13:56.400 --> 0:14:00.559
<v Speaker 2>and Bank of America literally are hiding how proud comfitable

0:14:00.640 --> 0:14:05.440
<v Speaker 2>they are. In the Whalen history, back to Granpa Whale

0:14:05.520 --> 0:14:08.800
<v Speaker 2>great great Grandpa Whalen was with Alexander Hamilton. A few

0:14:08.840 --> 0:14:13.920
<v Speaker 2>years ago, Chris Whalen described the profitability of this modern

0:14:14.000 --> 0:14:16.360
<v Speaker 2>era of ginormous big banks.

0:14:18.000 --> 0:14:21.440
<v Speaker 8>I'm not sure that they're that much more profitable today

0:14:21.480 --> 0:14:24.160
<v Speaker 8>than they have been in the past. Asset returns are

0:14:24.160 --> 0:14:28.960
<v Speaker 8>barely one percent. They are giving back capital because they're underutilized.

0:14:29.480 --> 0:14:31.640
<v Speaker 8>Why are they lending all this money to non bank,

0:14:32.200 --> 0:14:36.320
<v Speaker 8>non depository institutions because loan demand otherwise is pretty slack.

0:14:36.640 --> 0:14:39.720
<v Speaker 8>You know, deposits are growing twice as fast as demand

0:14:39.720 --> 0:14:43.520
<v Speaker 8>for loans. So hopefully when rates fall, we'll see volumes

0:14:43.560 --> 0:14:46.520
<v Speaker 8>pick up a bit like last September. This September two,

0:14:46.560 --> 0:14:47.880
<v Speaker 8>by the way, is going to turn out to be

0:14:47.920 --> 0:14:51.080
<v Speaker 8>a very good month for banks and non banks. But

0:14:51.200 --> 0:14:52.960
<v Speaker 8>you know, the bottom line is that there are so

0:14:53.000 --> 0:14:56.280
<v Speaker 8>many alternatives to traditional banks now that have been spawned

0:14:56.280 --> 0:14:59.600
<v Speaker 8>in the equity markets and are funded with actity and debt,

0:15:00.080 --> 0:15:02.920
<v Speaker 8>that you have plenty places to go spawn.

0:15:03.200 --> 0:15:07.280
<v Speaker 3>Yes, exactly, only way they would say spawn, private credit.

0:15:07.120 --> 0:15:11.000
<v Speaker 7>Was spawned exactly. Hey, here, get your thoughts on the

0:15:11.000 --> 0:15:11.680
<v Speaker 7>housing market.

0:15:11.680 --> 0:15:15.080
<v Speaker 6>Broady defined here that affordability issue continues to be a huge,

0:15:15.120 --> 0:15:17.920
<v Speaker 6>huge issue for people, particularly young people. I got a

0:15:17.920 --> 0:15:20.480
<v Speaker 6>mortgage rate still got a six handle out there, and

0:15:20.520 --> 0:15:23.480
<v Speaker 6>I've got housing costs that are fifty percent since twenty nineteen.

0:15:24.360 --> 0:15:27.000
<v Speaker 7>This is a problem, isn't it.

0:15:27.000 --> 0:15:29.080
<v Speaker 8>It is, But it's a problem that's going to be fixed.

0:15:29.480 --> 0:15:32.040
<v Speaker 8>Donald Trump is going to goos to housing market with

0:15:32.080 --> 0:15:35.520
<v Speaker 8>his friend Bill Polti. They want to support homebuilders at

0:15:35.560 --> 0:15:38.320
<v Speaker 8>a time when the homebuilders have already got too much inventory.

0:15:38.680 --> 0:15:42.080
<v Speaker 8>Supply has caught up with demand. And remember the prediction

0:15:42.160 --> 0:15:44.960
<v Speaker 8>of my good friend Stan Middleman, the founder of Freedom

0:15:45.000 --> 0:15:47.760
<v Speaker 8>Mortgage Misery on the eighths. I think we see a

0:15:47.800 --> 0:15:51.560
<v Speaker 8>maxi home price reset in twenty twenty eight. If you've

0:15:51.560 --> 0:15:56.080
<v Speaker 8>got that high coupon mortgage, wait a little bit and

0:15:56.240 --> 0:15:58.760
<v Speaker 8>maybe go into a floater, and then you'll be able

0:15:58.760 --> 0:16:01.280
<v Speaker 8>to refinance it much lower in a couple of years.

0:16:02.000 --> 0:16:05.000
<v Speaker 6>So, Chris, I guess the question is that there seems

0:16:05.040 --> 0:16:06.360
<v Speaker 6>to be a housing shortage in this country.

0:16:06.400 --> 0:16:08.280
<v Speaker 7>I'm not sure how he got there. How do you

0:16:08.320 --> 0:16:09.320
<v Speaker 7>think that happened in.

0:16:09.200 --> 0:16:12.000
<v Speaker 8>Some parts of the country, not everywhere here in New York,

0:16:12.240 --> 0:16:15.320
<v Speaker 8>in the Blue States where we don't build. Yes, it's

0:16:15.400 --> 0:16:17.840
<v Speaker 8>astounding to me because this is a market that had

0:16:18.000 --> 0:16:21.520
<v Speaker 8>very poor volumes before COVID, but the prices keep going

0:16:21.600 --> 0:16:24.560
<v Speaker 8>up because nobody's building houses. Down south, we have the

0:16:24.560 --> 0:16:28.680
<v Speaker 8>opposite problem. Chris Carolina is in Texas, Florida. We are

0:16:28.800 --> 0:16:30.040
<v Speaker 8>up to our ear lobes and.

0:16:30.000 --> 0:16:34.280
<v Speaker 2>Support Michael Barrowe's equal time. Chris Whalen quickly here every

0:16:34.320 --> 0:16:37.560
<v Speaker 2>Brady undergraduate wants to know when's the new book come out?

0:16:39.080 --> 0:16:42.160
<v Speaker 8>Well, the second edition should have inflated is out, of course,

0:16:42.520 --> 0:16:45.560
<v Speaker 8>and I did that for you. David Kotok did the introduction,

0:16:45.640 --> 0:16:47.880
<v Speaker 8>by the way, very cool, and we're working on a

0:16:47.880 --> 0:16:50.200
<v Speaker 8>gold book for next year, which will be very good.

0:16:50.320 --> 0:16:52.400
<v Speaker 3>You'll probably talk to Iike agreed. That's the way. Chris

0:16:52.400 --> 0:16:54.920
<v Speaker 3>Whalen rules. Christopher Whalen, thank you so much.

0:16:55.360 --> 0:16:59.240
<v Speaker 2>I can't say enough, folks the importance of his skepticism

0:16:59.640 --> 0:17:02.800
<v Speaker 2>about some of the verbiage of our financial system.

0:17:03.240 --> 0:17:04.000
<v Speaker 3>Stay with us.

0:17:04.200 --> 0:17:14.520
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:17:14.520 --> 0:17:18.440
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:17:18.440 --> 0:17:21.760
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:17:21.880 --> 0:17:24.840
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:17:24.920 --> 0:17:28.520
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:17:28.560 --> 0:17:31.080
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:17:31.440 --> 0:17:32.040
<v Speaker 3>She had a.

0:17:32.000 --> 0:17:35.800
<v Speaker 2>Huge impact the last time she was on. Fatima Bulani

0:17:35.920 --> 0:17:38.840
<v Speaker 2>joins us. She is at City Group and she is

0:17:39.080 --> 0:17:45.240
<v Speaker 2>hard wired into the technology and software industry. Fatima Bulani

0:17:45.320 --> 0:17:48.600
<v Speaker 2>joins us for an important brief this morning. Burying your

0:17:48.600 --> 0:17:51.359
<v Speaker 2>note Fatima work. Not only in the first inning, the

0:17:51.400 --> 0:17:55.200
<v Speaker 2>guy the third batters of the ondeck circle. You've got

0:17:55.280 --> 0:18:00.800
<v Speaker 2>six percent of software spend is on AI. Where is

0:18:00.840 --> 0:18:05.880
<v Speaker 2>that software spend on AI in one year, in three years,

0:18:06.000 --> 0:18:06.960
<v Speaker 2>in five years.

0:18:08.359 --> 0:18:11.320
<v Speaker 9>Well, it's it's a race to catch up here. You know,

0:18:12.040 --> 0:18:16.640
<v Speaker 9>we have the pleasure and privilege of running our CIO

0:18:16.720 --> 0:18:21.399
<v Speaker 9>survey every quarter, so excellent time series data and information

0:18:21.680 --> 0:18:26.160
<v Speaker 9>about you know, an average organization and very large organizations

0:18:26.320 --> 0:18:32.680
<v Speaker 9>appetite and proclivity to invest in particular parts of their

0:18:32.680 --> 0:18:36.320
<v Speaker 9>IT infrastructure. And you know, I think the trends we

0:18:36.359 --> 0:18:40.040
<v Speaker 9>are seeing as we're inching closer and closer to having AI,

0:18:40.400 --> 0:18:45.359
<v Speaker 9>generative AI and related efforts to operationalize this concept of

0:18:45.400 --> 0:18:48.679
<v Speaker 9>AI really showing up in the budgets and the wallet

0:18:48.720 --> 0:18:52.240
<v Speaker 9>and the wallet allocation, and so you know, I think

0:18:52.240 --> 0:18:55.280
<v Speaker 9>it's it's tough tough to sort of, you know, look

0:18:55.320 --> 0:18:57.359
<v Speaker 9>into the crystal valid say that six percent is going

0:18:57.359 --> 0:19:01.480
<v Speaker 9>to become twelve percent in the next twelve months. But

0:19:01.800 --> 0:19:08.320
<v Speaker 9>the infrastructure spending and the velocity with which we're seeing

0:19:08.680 --> 0:19:11.560
<v Speaker 9>so much capital being thrown at, you know.

0:19:11.600 --> 0:19:15.320
<v Speaker 5>Enabling the AI enterprise, you know, it's.

0:19:15.160 --> 0:19:17.840
<v Speaker 9>Only a matter of time till organizations catch up, and really,

0:19:17.880 --> 0:19:19.879
<v Speaker 9>you know, one of the gating factors, and ultimately there

0:19:19.880 --> 0:19:23.760
<v Speaker 9>are several gating factories. There's a lot of spaghetti being

0:19:23.760 --> 0:19:26.440
<v Speaker 9>thrown on the wall way zat Black.

0:19:26.240 --> 0:19:30.280
<v Speaker 2>Recking and VIDIA forty billion today a small number moments ago,

0:19:30.760 --> 0:19:35.640
<v Speaker 2>Oracle collaborates with Microsoft to enhance supply chain efficiency.

0:19:35.760 --> 0:19:37.240
<v Speaker 7>There you go, I have no I no idea.

0:19:37.400 --> 0:19:38.960
<v Speaker 3>Only Fatima knows what that is.

0:19:39.520 --> 0:19:42.280
<v Speaker 6>Fatima, I know in your survey here the next twelve

0:19:42.280 --> 0:19:46.880
<v Speaker 6>month IT budget growth weakens with the US and EMEA

0:19:47.040 --> 0:19:48.320
<v Speaker 6>below historical levels.

0:19:48.680 --> 0:19:51.919
<v Speaker 7>Why is that? Do you think? You know, I think the.

0:19:52.160 --> 0:19:57.080
<v Speaker 9>Inference there is there's most likely some share shift happening. Right,

0:19:57.680 --> 0:20:03.800
<v Speaker 9>Most I organizations have the unfortunate uh decision and dilemma of,

0:20:04.200 --> 0:20:06.159
<v Speaker 9>you know, keeping the lights on. So you have to

0:20:06.240 --> 0:20:10.040
<v Speaker 9>invest in existing uh in your existing footprint of it

0:20:10.920 --> 0:20:14.960
<v Speaker 9>UH infrastructure and capabilities just to keep the lights on.

0:20:15.080 --> 0:20:17.320
<v Speaker 9>But then at the same time you have to sort

0:20:17.320 --> 0:20:19.760
<v Speaker 9>of invest where the puck is going. Look at me

0:20:19.800 --> 0:20:24.880
<v Speaker 9>mixing my metaphors, right, and so that's very like, yeah,

0:20:26.560 --> 0:20:30.200
<v Speaker 9>that's the partial Canadian and me talking, and so really

0:20:30.240 --> 0:20:32.879
<v Speaker 9>it's uh, you know this this notion and this inference

0:20:32.960 --> 0:20:36.280
<v Speaker 9>of we're going to see some wallet share shifting in

0:20:36.359 --> 0:20:39.840
<v Speaker 9>terms of allocation and right, so, uh, how how do

0:20:39.920 --> 0:20:41.399
<v Speaker 9>you avoid starving?

0:20:41.960 --> 0:20:42.200
<v Speaker 6>Uh?

0:20:42.320 --> 0:20:44.240
<v Speaker 9>You know, initiatives that help keep the lights on in

0:20:44.240 --> 0:20:50.080
<v Speaker 9>the organization whilst also straddling this executive and boardroom mandate

0:20:50.119 --> 0:20:51.919
<v Speaker 9>of we have to do something with AI, we have

0:20:52.000 --> 0:20:57.680
<v Speaker 9>to invest in AI, we have to create capabilities and operationalize. Uh,

0:20:57.880 --> 0:21:00.919
<v Speaker 9>these AI efforts to build busines, this value and delivered

0:21:00.920 --> 0:21:01.840
<v Speaker 9>business value.

0:21:02.040 --> 0:21:04.199
<v Speaker 6>It seems like all Tom and I talk about all

0:21:04.320 --> 0:21:08.320
<v Speaker 6>day is AI. But your survey indicates that cybersecurity remains

0:21:08.359 --> 0:21:11.320
<v Speaker 6>the number one investment priority.

0:21:11.359 --> 0:21:12.119
<v Speaker 7>Talk to us about that.

0:21:13.560 --> 0:21:17.840
<v Speaker 9>Yeah, I rtially joke that once cybersecurity falls off the

0:21:17.920 --> 0:21:20.400
<v Speaker 9>number one perch, you know, wake me up when that happens.

0:21:20.440 --> 0:21:24.159
<v Speaker 9>Because this has been a very very consistent theme and

0:21:24.240 --> 0:21:28.479
<v Speaker 9>trend in over a decade of survey results and survey

0:21:28.520 --> 0:21:31.119
<v Speaker 9>work that we've done. Right that being said, you know,

0:21:31.200 --> 0:21:37.159
<v Speaker 9>cybersecurity has become this this snowballing, this juggernaut of a

0:21:37.240 --> 0:21:42.320
<v Speaker 9>priority for boardrooms and now especially now because you're a

0:21:42.400 --> 0:21:46.200
<v Speaker 9>tech surface, has you know, effectively metastasized, right, I mean

0:21:46.800 --> 0:21:49.679
<v Speaker 9>back in the nineteen nineties, it was your corporate network

0:21:49.800 --> 0:21:53.040
<v Speaker 9>and the Internet you just had to protect. You know,

0:21:53.160 --> 0:21:55.120
<v Speaker 9>you just have to bear your corporate net the work

0:21:55.119 --> 0:21:59.080
<v Speaker 9>against the Internet. And now it's cloud, it's remote workers,

0:21:59.119 --> 0:22:04.800
<v Speaker 9>it's you know, your distributed offices, it's AI, right, and

0:22:04.880 --> 0:22:10.399
<v Speaker 9>so the new blind spots, the exposure, the susceptibility of

0:22:10.440 --> 0:22:14.240
<v Speaker 9>what used to be a pretty tightly controlled network is

0:22:14.320 --> 0:22:16.399
<v Speaker 9>completely unfurled, right, and so you kind of get the

0:22:16.480 --> 0:22:20.480
<v Speaker 9>dynamic of your entire attack surface not only has increased,

0:22:20.520 --> 0:22:24.679
<v Speaker 9>it's also changed and it's so much more nuances. And

0:22:24.680 --> 0:22:26.840
<v Speaker 9>so that's why, you know, cybersecurity is sort of going

0:22:26.840 --> 0:22:29.800
<v Speaker 9>to be the perennial number one spot. And you know,

0:22:29.840 --> 0:22:31.399
<v Speaker 9>one of the things that you sort of asked me

0:22:31.440 --> 0:22:35.080
<v Speaker 9>earlier was, well, what's stopping organizations from taking six percent

0:22:35.080 --> 0:22:39.040
<v Speaker 9>of their IT budgets allocated towards AI initiatives? The twenty

0:22:39.160 --> 0:22:42.040
<v Speaker 9>twenty five fifty cybersecurity is one of those reasons.

0:22:42.040 --> 0:22:47.639
<v Speaker 2>Okay, yeah, Fatima, that's just brilliant Mark Bergenfolks his brilliant effort.

0:22:47.680 --> 0:22:50.640
<v Speaker 2>I read a cover to cover like comments, subscribe Mark

0:22:50.680 --> 0:22:53.760
<v Speaker 2>Bergen's Definitive book on YouTube. Thank you for that, He

0:22:53.840 --> 0:22:58.959
<v Speaker 2>writes this morning for Bloomberg news Fatima, Microsoft cuts forth

0:22:59.240 --> 0:23:04.320
<v Speaker 2>n scaled deal with Texas AI data center they're going

0:23:04.400 --> 0:23:06.960
<v Speaker 2>to build. I love this, Paul, thank you for Bloomberg

0:23:07.040 --> 0:23:11.199
<v Speaker 2>AI n scale two hundred and forty megawatts of power.

0:23:12.119 --> 0:23:14.920
<v Speaker 2>The site will deploy one hundred and four thousand new

0:23:15.119 --> 0:23:16.040
<v Speaker 2>Nvidia Corp.

0:23:16.520 --> 0:23:18.639
<v Speaker 3>Chips. The rest of it I don't understand.

0:23:20.040 --> 0:23:23.320
<v Speaker 2>I mean, Fatima, how does a pro like you who's

0:23:23.400 --> 0:23:27.520
<v Speaker 2>worried about cash flow at Microsoft, how do you bring

0:23:27.640 --> 0:23:32.199
<v Speaker 2>in this utility constraint that Mark Bergen writes about this morning.

0:23:33.640 --> 0:23:34.719
<v Speaker 7>You know, it's a fair question.

0:23:34.880 --> 0:23:37.800
<v Speaker 9>And the way I will frame this for you is,

0:23:38.320 --> 0:23:42.880
<v Speaker 9>you know, organizations are principally trying to solve for productivity gains, right,

0:23:42.920 --> 0:23:45.359
<v Speaker 9>you know, business value, productivity gains, et cetera. So a

0:23:45.440 --> 0:23:47.920
<v Speaker 9>lot of what we're seeing on the software side in

0:23:48.000 --> 0:23:51.480
<v Speaker 9>terms of the monetization question, right, we're seeing the picks

0:23:51.560 --> 0:23:56.080
<v Speaker 9>and shovels trade in the AI trade opportunity on fire.

0:23:56.200 --> 0:23:57.760
<v Speaker 9>It is absolutely in fuego.

0:23:57.920 --> 0:23:58.080
<v Speaker 3>Right.

0:23:58.400 --> 0:24:01.399
<v Speaker 9>And you know one of the main overhands on the

0:24:01.720 --> 0:24:05.040
<v Speaker 9>aggregate enterprise software space is when are software vendor is

0:24:05.040 --> 0:24:06.720
<v Speaker 9>going to get paid for all this stuff? Right?

0:24:06.800 --> 0:24:10.560
<v Speaker 2>Right? Okay, we got to go Fatima, that's precisely the

0:24:10.640 --> 0:24:13.480
<v Speaker 2>worry that Lisa Matail has about AI.

0:24:13.840 --> 0:24:17.119
<v Speaker 3>Do you worry that the software vendors will get paid?

0:24:19.000 --> 0:24:21.040
<v Speaker 9>You know, we think software vendors are going to get paid,

0:24:21.040 --> 0:24:24.320
<v Speaker 9>but it's important and critical to pick your spots.

0:24:24.840 --> 0:24:24.959
<v Speaker 7>Uh.

0:24:25.119 --> 0:24:28.679
<v Speaker 9>You know, we like to bifurcate the entire enterprise software

0:24:28.720 --> 0:24:33.520
<v Speaker 9>space into application and infrastructure, and we're firm believers that

0:24:33.640 --> 0:24:38.120
<v Speaker 9>the infrastructure software space is going to be the more

0:24:38.240 --> 0:24:41.400
<v Speaker 9>insulated of the two you have. I'm certain you've heard

0:24:41.480 --> 0:24:46.439
<v Speaker 9>the terms of vibe coding and large language models, you know,

0:24:46.560 --> 0:24:50.520
<v Speaker 9>chasing application software companies, you know, you know, out of

0:24:50.560 --> 0:24:54.479
<v Speaker 9>the room, right, And so there's a general view and

0:24:54.520 --> 0:24:59.119
<v Speaker 9>we'd subscribe to this as well that if you provide tooling, software,

0:24:59.520 --> 0:25:02.320
<v Speaker 9>plumbing and tooling that's sort of behind the scenes, that's

0:25:02.359 --> 0:25:05.160
<v Speaker 9>a better position to be in terms of monetizing and commercials.

0:25:05.560 --> 0:25:08.200
<v Speaker 3>Paul's yelling at me, go to Bar Fatima.

0:25:08.280 --> 0:25:10.920
<v Speaker 2>I got twenty seconds your single best buy right now

0:25:10.960 --> 0:25:11.680
<v Speaker 2>at City Group.

0:25:13.320 --> 0:25:17.919
<v Speaker 9>A big fan of a company called Rubric RBRK. Not

0:25:18.119 --> 0:25:22.080
<v Speaker 9>one that's on everyone's lips. It's not one that's talked

0:25:22.119 --> 0:25:26.359
<v Speaker 9>about very much, but in an era where data is

0:25:26.359 --> 0:25:29.000
<v Speaker 9>going to explode. The fidelity and integrity of your data

0:25:29.040 --> 0:25:32.520
<v Speaker 9>is going to determine how good your AI applications are.

0:25:32.920 --> 0:25:34.679
<v Speaker 9>Oh and by the way, if there's a cyber attack

0:25:34.760 --> 0:25:37.520
<v Speaker 9>that happens and you have to recover all this business data,

0:25:38.200 --> 0:25:41.600
<v Speaker 9>rubric is the play Ruber way to play RBRK.

0:25:41.960 --> 0:25:42.480
<v Speaker 3>Is that right?

0:25:42.560 --> 0:25:43.600
<v Speaker 7>Yeah, it's a that's right.

0:25:43.680 --> 0:25:46.720
<v Speaker 6>Sixteen billion dollar market cap stocks up about twenty percent

0:25:46.840 --> 0:25:49.200
<v Speaker 6>year to date, is doubled over the past twelve months.

0:25:49.200 --> 0:25:50.960
<v Speaker 7>So it's been a oh good and a good one there.

0:25:51.119 --> 0:25:53.639
<v Speaker 2>Yeah, she didn't call me on this Fatima, let me

0:25:53.680 --> 0:25:56.000
<v Speaker 2>down and didn't call me up a stupid bye.

0:25:56.000 --> 0:26:01.920
<v Speaker 3>This good morning. Palo Alto, yep three employed a stronger

0:26:01.960 --> 0:26:04.240
<v Speaker 3>for the team of belining jes love it. Thank you

0:26:04.280 --> 0:26:07.600
<v Speaker 3>so much. She is with City Group. Stay with us.

0:26:07.840 --> 0:26:18.480
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:26:18.480 --> 0:26:22.359
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:26:22.440 --> 0:26:25.439
<v Speaker 1>starting at seven am Eastern on Apple Corplay and Android

0:26:25.480 --> 0:26:28.440
<v Speaker 1>Auto with the Bloomberg Business app. You can also watch

0:26:28.560 --> 0:26:31.480
<v Speaker 1>us live every weekday on YouTube and always on the

0:26:31.520 --> 0:26:32.600
<v Speaker 1>Bloomberg terminal.

0:26:32.720 --> 0:26:35.000
<v Speaker 2>Time out for the daily look. It is the front

0:26:35.000 --> 0:26:36.359
<v Speaker 2>pages around the world.

0:26:36.600 --> 0:26:40.919
<v Speaker 7>Do we thank Lisa for the newspaper.

0:26:41.240 --> 0:26:42.800
<v Speaker 3>Tell me there's nothing on the banks.

0:26:43.000 --> 0:26:46.639
<v Speaker 10>No, nothing on the bank we got. Okay, have you

0:26:47.320 --> 0:26:49.440
<v Speaker 10>gotten those annoying scam text messages?

0:26:51.200 --> 0:26:54.840
<v Speaker 7>I know it's like page Tim.

0:26:54.680 --> 0:26:56.000
<v Speaker 3>Cook, I know you're listening.

0:26:56.240 --> 0:26:57.600
<v Speaker 7>Do something, fix it, fix it.

0:26:57.720 --> 0:27:01.720
<v Speaker 10>Okay, Well we now know who's behind this. So this

0:27:01.800 --> 0:27:05.000
<v Speaker 10>is in the Wall Street Journal. Really interesting. The Department

0:27:05.040 --> 0:27:08.240
<v Speaker 10>of Homeland Security is saying criminal organizations in China have

0:27:08.359 --> 0:27:11.359
<v Speaker 10>made more than a billion dollars in the last three

0:27:11.520 --> 0:27:17.000
<v Speaker 10>years through those test mech text scams. They have sim farms,

0:27:17.240 --> 0:27:19.080
<v Speaker 10>that's how they do a lot of it. They use

0:27:19.160 --> 0:27:24.720
<v Speaker 10>the credit card info. They buy iPhones, gift cards, clothing, cosmetics.

0:27:24.200 --> 0:27:29.000
<v Speaker 2>Are well, yesterday it was absolutely verbatim text message hey

0:27:29.040 --> 0:27:30.200
<v Speaker 2>that I can't remember the vendor.

0:27:30.240 --> 0:27:32.800
<v Speaker 3>It wasn't the bank, it was somebody else, Paul.

0:27:32.840 --> 0:27:33.560
<v Speaker 5>It was perfect.

0:27:33.800 --> 0:27:39.160
<v Speaker 7>Yeah, mine was his easy pass. Yes, all over the place.

0:27:39.240 --> 0:27:42.720
<v Speaker 7>My kids got them. It's so who knows. But I'm like,

0:27:42.720 --> 0:27:45.200
<v Speaker 7>I'm not paying anybody door.

0:27:45.400 --> 0:27:45.640
<v Speaker 1>Yeah.

0:27:45.640 --> 0:27:48.000
<v Speaker 10>So this is the thing they they're trying to like do.

0:27:48.160 --> 0:27:49.960
<v Speaker 10>They can't do anything about it. It's a man of

0:27:50.000 --> 0:27:54.400
<v Speaker 10>the moon exactly exactly. But they just if you look

0:27:54.440 --> 0:27:56.399
<v Speaker 10>at the article. It really goes into the whole process

0:27:56.400 --> 0:27:59.400
<v Speaker 10>of how there's videos showing the people doing it. I mean,

0:27:59.440 --> 0:28:02.760
<v Speaker 10>it's it's such an intricate process. But yes, the question

0:28:02.800 --> 0:28:04.800
<v Speaker 10>still remains, what are we going to do about it?

0:28:05.480 --> 0:28:05.760
<v Speaker 7>Okay?

0:28:05.800 --> 0:28:07.639
<v Speaker 10>So this I'm going to pull an audible on this

0:28:07.720 --> 0:28:10.440
<v Speaker 10>because since we go from tech scams, remember the scam

0:28:10.440 --> 0:28:13.560
<v Speaker 10>in London, all these phones being stolen all the time,

0:28:14.200 --> 0:28:16.720
<v Speaker 10>eighty thousand phones stolen in the city last year. So

0:28:16.760 --> 0:28:19.520
<v Speaker 10>the police are saying it goes to the black market

0:28:19.840 --> 0:28:21.840
<v Speaker 10>for European cell phones in China.

0:28:22.240 --> 0:28:24.000
<v Speaker 7>Here we go again, the same phones.

0:28:24.280 --> 0:28:26.639
<v Speaker 10>Some are reset, they're sold to new users in Britain,

0:28:26.960 --> 0:28:29.000
<v Speaker 10>but a lot of them they're shipped to China and

0:28:29.040 --> 0:28:32.200
<v Speaker 10>also Algeria and China. The newest phones they could be

0:28:32.240 --> 0:28:34.440
<v Speaker 10>sold for like five thousand dollars. So this is what's

0:28:34.480 --> 0:28:37.000
<v Speaker 10>going on there. So the reasoning behind that, because you

0:28:37.000 --> 0:28:38.080
<v Speaker 10>hear those stories the.

0:28:38.080 --> 0:28:41.400
<v Speaker 2>Tech management, all these guys with the gajillion dollars they're

0:28:41.440 --> 0:28:43.760
<v Speaker 2>showing up for FaceTime with the president.

0:28:44.280 --> 0:28:46.800
<v Speaker 3>This is where they could really help people, yep, with

0:28:46.880 --> 0:28:48.960
<v Speaker 3>their technology. I just don't get it.

0:28:49.440 --> 0:28:52.760
<v Speaker 10>I don't either, Okay, I want to go to this

0:28:52.880 --> 0:28:56.360
<v Speaker 10>new ranking. It shows the declining strength of the US passport.

0:28:56.840 --> 0:28:59.360
<v Speaker 10>This isn't a Washington Post. It's the latest edition of

0:28:59.360 --> 0:29:03.080
<v Speaker 10>the Henley Passport Index. So this index basically ranks nations

0:29:03.120 --> 0:29:05.960
<v Speaker 10>based on the number of destinations someone can go to

0:29:06.120 --> 0:29:09.440
<v Speaker 10>and visit without needing a visa. Okay, so it shows

0:29:09.480 --> 0:29:11.800
<v Speaker 10>the US passport. It's fallen out of the top ten

0:29:11.840 --> 0:29:15.320
<v Speaker 10>most powerful passports globally the first time in twenty years.

0:29:15.440 --> 0:29:18.040
<v Speaker 10>It's now at number twelve, tied with Malaysia.

0:29:18.160 --> 0:29:18.600
<v Speaker 5>There you go.

0:29:18.760 --> 0:29:19.840
<v Speaker 3>A decade ago it was.

0:29:19.800 --> 0:29:22.920
<v Speaker 10>At number one, so you could see the declining. Singapore

0:29:23.000 --> 0:29:25.360
<v Speaker 10>is the number one spot one hundred and ninety three destinations,

0:29:25.400 --> 0:29:27.360
<v Speaker 10>followed by South Korea and also Japan.

0:29:28.000 --> 0:29:30.200
<v Speaker 6>I got the Irish passport back in the day, like

0:29:30.280 --> 0:29:32.640
<v Speaker 6>thirty years ago. They were given them a litt Yeah,

0:29:32.720 --> 0:29:33.880
<v Speaker 6>they were literally did you get.

0:29:33.800 --> 0:29:34.840
<v Speaker 3>A case to gain us with that?

0:29:35.120 --> 0:29:35.280
<v Speaker 5>No?

0:29:35.400 --> 0:29:37.360
<v Speaker 7>But I used it after nine to eleven. I had

0:29:37.360 --> 0:29:37.960
<v Speaker 7>a lot of travel.

0:29:38.000 --> 0:29:40.480
<v Speaker 6>After nine eleven, I felt more comfortable with the Irish

0:29:40.480 --> 0:29:44.040
<v Speaker 6>reelaking today yeah see yeah, so, but I.

0:29:43.960 --> 0:29:45.800
<v Speaker 3>Know lots of people getting too bad. I do not

0:29:45.920 --> 0:29:46.200
<v Speaker 3>do that.

0:29:47.000 --> 0:29:49.640
<v Speaker 6>I mean again, this was thirty years ago. Send in

0:29:49.680 --> 0:29:51.000
<v Speaker 6>like a ten dollars checking.

0:29:51.120 --> 0:29:53.960
<v Speaker 2>I want to get a passport for Quebec because Montreal

0:29:54.040 --> 0:29:54.360
<v Speaker 2>is killed.

0:29:54.400 --> 0:29:57.160
<v Speaker 3>Sure right now? Are do you have any more?

0:29:57.480 --> 0:29:57.680
<v Speaker 2>Yeah?

0:29:57.880 --> 0:29:59.760
<v Speaker 7>Okay, one last one.

0:30:00.080 --> 0:30:03.000
<v Speaker 10>This is about Remember those fancy long business lunches you

0:30:03.120 --> 0:30:05.400
<v Speaker 10>probably used to do. They would extend into like dinner

0:30:05.440 --> 0:30:08.320
<v Speaker 10>time and keep going. Well, the Financial Times are saying

0:30:08.440 --> 0:30:11.760
<v Speaker 10>weight loss drugs are killing that business, you know, the

0:30:11.800 --> 0:30:14.160
<v Speaker 10>business lunch because a lot more people they're ordering less.

0:30:14.200 --> 0:30:17.480
<v Speaker 10>They might not want to go because they're eating less,

0:30:17.640 --> 0:30:21.000
<v Speaker 10>they don't drink alcohol as much. So it really goes

0:30:21.000 --> 0:30:23.120
<v Speaker 10>into that and how it's hurting restaurants to list.

0:30:23.120 --> 0:30:25.200
<v Speaker 3>I'm gonna tell a wonderful newspapers. Thank you so much.

0:30:25.560 --> 0:30:30.400
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0:30:30.520 --> 0:30:34.800
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