1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business app. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,080 Speaker 1: us live on YouTube. 6 00:00:27,120 --> 00:00:29,520 Speaker 2: Even if you didn't read the eight hundred and thirty pages. 7 00:00:30,600 --> 00:00:34,160 Speaker 2: It had a lovely purple lavender cover and you could 8 00:00:34,159 --> 00:00:38,560 Speaker 2: walk around campus toading your Absfeld and rogueoff and you 9 00:00:38,720 --> 00:00:41,839 Speaker 2: get cool points just for that. Joining us now. One 10 00:00:41,880 --> 00:00:46,800 Speaker 2: of the Foundation academics we have on our international macroeconomics 11 00:00:47,159 --> 00:00:52,360 Speaker 2: Maurice Obsfeld. He's with the Peterson Institute with Posen and Blanchard. 12 00:00:52,479 --> 00:00:56,160 Speaker 2: He is at Berkeley forever and always professor. Thank you 13 00:00:56,200 --> 00:00:59,959 Speaker 2: so much for joining us. What I see in percolate 14 00:01:00,280 --> 00:01:05,319 Speaker 2: right now, Maurice Sobsfeld, is real tensions about supply lines 15 00:01:05,400 --> 00:01:12,280 Speaker 2: falling apart, supply lines fragile because of tariffs, the interstitial, 16 00:01:13,880 --> 00:01:15,480 Speaker 2: the interstitual. 17 00:01:14,800 --> 00:01:17,840 Speaker 3: Wiring of our trade system. Is it broken. 18 00:01:19,880 --> 00:01:23,840 Speaker 4: It's not broken yet, but it's understrained. It's understrained because 19 00:01:23,840 --> 00:01:29,720 Speaker 4: of tariffs. It's understrained because of geopolitical tensions. It's understrained 20 00:01:29,720 --> 00:01:32,240 Speaker 4: because of the trade war. And we can see this 21 00:01:32,400 --> 00:01:37,319 Speaker 4: and the threats flying back between President Trump and China 22 00:01:37,400 --> 00:01:42,040 Speaker 4: right now over everything from shipping to rar earths to 23 00:01:42,120 --> 00:01:42,720 Speaker 4: cooking oil. 24 00:01:43,080 --> 00:01:46,240 Speaker 2: There just seems to be two Americas, one affected by 25 00:01:46,280 --> 00:01:51,760 Speaker 2: goods and trade worry and angst, in another a financial boom. 26 00:01:51,920 --> 00:01:54,600 Speaker 2: Like Morgan Stanley, can we exist like this? 27 00:01:56,320 --> 00:02:00,840 Speaker 4: Well, you know, the US economy has become increasingly financialized 28 00:02:01,080 --> 00:02:05,040 Speaker 4: over the decades, and you know, at some level, the 29 00:02:05,200 --> 00:02:10,600 Speaker 4: US is the world's banker at this point. And interestingly, 30 00:02:10,639 --> 00:02:14,520 Speaker 4: finance hasn't seen the kind of backlash that we've seen 31 00:02:14,560 --> 00:02:19,840 Speaker 4: against trade. You know, trade is blamed for deficits with 32 00:02:19,960 --> 00:02:24,200 Speaker 4: other countries, it's blamed for the declient of manufacturing. You know, 33 00:02:24,240 --> 00:02:30,320 Speaker 4: we don't see people wanting to curb financial transactions. Quite 34 00:02:30,320 --> 00:02:36,280 Speaker 4: the contrary, we're seeing deregulation stable coins and the like. 35 00:02:36,440 --> 00:02:39,679 Speaker 4: So there really really is a divorce between those two sectors. 36 00:02:39,720 --> 00:02:41,880 Speaker 4: And you know, the question I have is can that 37 00:02:41,919 --> 00:02:42,639 Speaker 4: go on forever? 38 00:02:42,840 --> 00:02:43,280 Speaker 3: Yeah? 39 00:02:43,400 --> 00:02:48,120 Speaker 4: Or will the trade tensions eventually feed into the financial sphere? 40 00:02:48,520 --> 00:02:49,240 Speaker 5: I think they will. 41 00:02:50,080 --> 00:02:52,079 Speaker 6: And Professor, that's kind of where we are right now. 42 00:02:52,120 --> 00:02:55,160 Speaker 6: The folks that are supporting tariffs. They say, we are 43 00:02:55,240 --> 00:02:55,880 Speaker 6: not seeing. 44 00:02:55,680 --> 00:02:56,720 Speaker 7: The economy slow down. 45 00:02:56,760 --> 00:02:59,440 Speaker 6: We recently had a very strong third quarter GDP print, 46 00:03:00,160 --> 00:03:03,480 Speaker 6: not seeing a material increase in inflation data, although we 47 00:03:03,560 --> 00:03:06,720 Speaker 6: are now lacking data because of the shutdown. So again 48 00:03:06,800 --> 00:03:09,280 Speaker 6: the supporters of tariffs are saying, we're just not seeing 49 00:03:09,320 --> 00:03:13,239 Speaker 6: those economic headwinds coming from tariffs. So my question to 50 00:03:13,280 --> 00:03:15,360 Speaker 6: you is is it just a matter of time or 51 00:03:15,440 --> 00:03:17,119 Speaker 6: are corporations adapting? 52 00:03:17,960 --> 00:03:19,680 Speaker 5: Oh? I think it's a matter of time. 53 00:03:19,760 --> 00:03:23,960 Speaker 4: There is some adaptation, of course, as corporations look for 54 00:03:24,160 --> 00:03:25,200 Speaker 4: cheaper suppliers. 55 00:03:25,280 --> 00:03:27,760 Speaker 5: But you know, just look at what we've seen. 56 00:03:27,960 --> 00:03:31,680 Speaker 4: We have not seen any material fall in the dollar 57 00:03:31,800 --> 00:03:37,880 Speaker 4: prices that foreign countries charge for US. We've seen some 58 00:03:38,080 --> 00:03:43,080 Speaker 4: limited increase in consumer prices of imported goods and close 59 00:03:43,160 --> 00:03:47,600 Speaker 4: substitutes for those imported goods, but not enough to offset 60 00:03:47,720 --> 00:03:52,320 Speaker 4: the tariff. But we've also seen substantial revenue coming into 61 00:03:52,360 --> 00:03:56,880 Speaker 4: the treasury from tariffs, which is being paid by our importers. 62 00:03:57,000 --> 00:03:59,080 Speaker 5: So how do you square that circle? 63 00:04:00,320 --> 00:04:00,560 Speaker 3: Right? 64 00:04:00,840 --> 00:04:04,400 Speaker 4: You square it with a hit to profitability and with 65 00:04:04,600 --> 00:04:10,360 Speaker 4: the observation that firms have been swallowing these tariffs to 66 00:04:10,400 --> 00:04:14,280 Speaker 4: some extent while they wait for tariff policy to stabilize 67 00:04:14,320 --> 00:04:17,520 Speaker 4: and figure out what it's going to be going forward 68 00:04:18,160 --> 00:04:21,200 Speaker 4: now that we kind of know where we are with tariffs. 69 00:04:21,240 --> 00:04:23,640 Speaker 4: To some extent, I think firms are going to be 70 00:04:23,680 --> 00:04:27,240 Speaker 4: adjusting by passing those cost increases on. 71 00:04:27,640 --> 00:04:31,720 Speaker 2: Professor Obsfeld synthesize here, say the work of Douglas or 72 00:04:31,760 --> 00:04:35,600 Speaker 2: when at Dartmouth with down the hall from you at Berkeley, 73 00:04:35,640 --> 00:04:40,800 Speaker 2: Barry Kengreen, and this whole trade up set and the 74 00:04:40,920 --> 00:04:44,400 Speaker 2: risk to the dollar. This goes back to Obsfeld, Rogueoff, 75 00:04:44,480 --> 00:04:48,680 Speaker 2: and frankly back to Mundell. I'm assuming you don't have 76 00:04:48,920 --> 00:04:52,599 Speaker 2: a fear of the gloom crew on a dollar. 77 00:04:52,760 --> 00:04:56,640 Speaker 3: Is that correct? The gloom crew? 78 00:04:57,520 --> 00:05:02,520 Speaker 4: You know, I'm worried long term about the status of 79 00:05:02,560 --> 00:05:07,360 Speaker 4: the dollar. I think they're very strong forces keeping the 80 00:05:07,400 --> 00:05:12,120 Speaker 4: dollar in the prime position it's in in global markets 81 00:05:12,160 --> 00:05:17,880 Speaker 4: as the world's currency. But foreign countries are increasingly worried 82 00:05:17,960 --> 00:05:23,440 Speaker 4: about the kind of course of punitive actions that this 83 00:05:23,520 --> 00:05:29,480 Speaker 4: administration has been taken to enforce its will globally, not 84 00:05:29,600 --> 00:05:33,240 Speaker 4: just in the trade sphere, but looking at issues like 85 00:05:33,880 --> 00:05:38,680 Speaker 4: internal politics. You know, we see this across the board 86 00:05:39,960 --> 00:05:43,880 Speaker 4: for positive and negative. The Treasury right now is bailing 87 00:05:43,880 --> 00:05:48,240 Speaker 4: out Argentina for largely political reasons. So I think I 88 00:05:48,279 --> 00:05:51,440 Speaker 4: think the bottom line is that that foreign countries no 89 00:05:51,520 --> 00:05:55,880 Speaker 4: longer trust the US as a responsible steward of the 90 00:05:55,880 --> 00:06:00,240 Speaker 4: global economy are going to seek to decouple and sure 91 00:06:00,320 --> 00:06:05,520 Speaker 4: themselves against policy volatility emanating from right. 92 00:06:05,360 --> 00:06:07,600 Speaker 2: Here, Mars, I gotta get a breaking news, Paul. Can 93 00:06:07,640 --> 00:06:11,159 Speaker 2: I ask a rude question of Professor Hobsfeld? Yeah, professor, 94 00:06:11,240 --> 00:06:15,599 Speaker 2: and iiching green question for you, Maurice Hobsfeld on gold 95 00:06:15,600 --> 00:06:17,880 Speaker 2: at four dollars announce? 96 00:06:18,200 --> 00:06:20,960 Speaker 3: What would Barry say? 97 00:06:21,120 --> 00:06:23,960 Speaker 4: I'm not going to speak for Barry, my good and 98 00:06:24,040 --> 00:06:27,320 Speaker 4: longtime friend, but I think he would say that. 99 00:06:28,320 --> 00:06:30,120 Speaker 5: I guess I am speaking for him. I want to 100 00:06:30,160 --> 00:06:31,040 Speaker 5: speak for myself. 101 00:06:32,480 --> 00:06:34,880 Speaker 4: Barry and I agree about a lot of things, not everything. 102 00:06:35,760 --> 00:06:41,039 Speaker 4: You know, gold is a bell weather of fear, and 103 00:06:41,640 --> 00:06:47,159 Speaker 4: the escalation in its price is far beyond what you 104 00:06:47,200 --> 00:06:51,039 Speaker 4: would expect to see coming from inflationary fears. Although I 105 00:06:51,080 --> 00:06:55,400 Speaker 4: think that's part of the picture. I think it be 106 00:06:55,520 --> 00:07:02,520 Speaker 4: tokens a shift into something that is perceived as safer 107 00:07:02,520 --> 00:07:05,400 Speaker 4: than the dollar and not subject to. 108 00:07:06,880 --> 00:07:10,400 Speaker 5: Extra territorial action by the US. 109 00:07:10,600 --> 00:07:13,080 Speaker 4: I mean, you know, we've seen the escalation and price 110 00:07:13,520 --> 00:07:17,880 Speaker 4: We've also seen increasing purchases of gold by emerging market 111 00:07:17,960 --> 00:07:21,200 Speaker 4: central banks. A lot of that is China, but not 112 00:07:21,240 --> 00:07:24,280 Speaker 4: all of it is China, Okay, So that I think 113 00:07:24,320 --> 00:07:25,360 Speaker 4: tells us something. 114 00:07:25,120 --> 00:07:26,400 Speaker 5: About the fear out there. 115 00:07:26,560 --> 00:07:31,560 Speaker 4: And you know, the escalation and bitcoin prices is a 116 00:07:31,600 --> 00:07:32,560 Speaker 4: similar phenomenon. 117 00:07:32,880 --> 00:07:35,200 Speaker 3: Professor got to leave it there too short a visit. 118 00:07:35,400 --> 00:07:36,200 Speaker 3: Thank you so much. 119 00:07:36,240 --> 00:07:39,200 Speaker 2: Thank you to you and the Peterson Institute, Adam Posen, 120 00:07:39,320 --> 00:07:43,080 Speaker 2: Professor Blanchard and others for just great support of what 121 00:07:43,120 --> 00:07:47,360 Speaker 2: we do. Marky Sobsfeld forever from the University of California 122 00:07:47,560 --> 00:07:48,160 Speaker 2: at Berkeley. 123 00:07:48,480 --> 00:07:49,400 Speaker 3: Stay with us. 124 00:07:49,440 --> 00:07:52,800 Speaker 2: More from Bloomberg Surveillance coming up after this. 125 00:08:00,080 --> 00:08:03,480 Speaker 1: Are listening to the Bloomberg Surveillance podcast. Catch us live 126 00:08:03,560 --> 00:08:06,720 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 127 00:08:06,800 --> 00:08:10,480 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 128 00:08:10,600 --> 00:08:12,040 Speaker 1: watch us live on YouTube. 129 00:08:12,240 --> 00:08:16,600 Speaker 2: Chris Whalen is definitive on the American financial system. I'm 130 00:08:16,640 --> 00:08:20,000 Speaker 2: standing or surrounded by dinosaurs in Houston, and I'm going 131 00:08:20,040 --> 00:08:22,280 Speaker 2: I think I got Chris Whalen in a couple of days. 132 00:08:22,680 --> 00:08:26,240 Speaker 2: Must listen for Global Wall Street, he joins us. Now 133 00:08:26,320 --> 00:08:29,840 Speaker 2: I can't say enough about his value to the American 134 00:08:29,880 --> 00:08:33,680 Speaker 2: financial system, his history, his books, and also his work 135 00:08:33,679 --> 00:08:37,480 Speaker 2: at Whaling Global Advisors. Chris, I'm just going to cut 136 00:08:37,559 --> 00:08:43,080 Speaker 2: to the chase. First Brands try Coller have a Are 137 00:08:43,120 --> 00:08:45,040 Speaker 2: we living two thousand and six? 138 00:08:45,400 --> 00:08:50,000 Speaker 8: Chris Whalen, Yeah, we're kind of repeating the same mistakes. 139 00:08:50,040 --> 00:08:52,640 Speaker 8: You know, if you don't have a trustee to hold 140 00:08:52,679 --> 00:08:56,240 Speaker 8: the paper, then you have double pledges of collateral. Remember 141 00:08:56,240 --> 00:09:00,720 Speaker 8: bear Stearns. Yeah, I'm familiar, same same things. So it's 142 00:09:00,720 --> 00:09:04,240 Speaker 8: called fraud. And you know, the terms on a lot 143 00:09:04,240 --> 00:09:07,240 Speaker 8: of deals in the past ten fifteen years have loosened 144 00:09:07,600 --> 00:09:11,360 Speaker 8: in favor of the issuers to the disadvantage of investors. 145 00:09:11,720 --> 00:09:13,760 Speaker 8: And First Brand is a case in point. 146 00:09:13,880 --> 00:09:16,640 Speaker 2: Chris Wayman, there was no other question at my CFA 147 00:09:16,720 --> 00:09:21,320 Speaker 2: meeting in Houston, no other question. What's the contagion You're 148 00:09:21,559 --> 00:09:24,320 Speaker 2: expert at the history of this. Come on, Is it 149 00:09:24,400 --> 00:09:28,200 Speaker 2: like Continental Illinois? Is it like bear Stearns? As you mentioned, 150 00:09:28,440 --> 00:09:33,439 Speaker 2: what's a contagion factor? In October of twenty twenty. 151 00:09:33,160 --> 00:09:38,680 Speaker 8: Five, it's brewing. We won't really see it until we do. 152 00:09:38,960 --> 00:09:39,080 Speaker 3: So. 153 00:09:39,920 --> 00:09:42,840 Speaker 8: The commercial side of the equation is where the problems 154 00:09:42,880 --> 00:09:45,320 Speaker 8: are for the banks, right now they are trying to 155 00:09:45,400 --> 00:09:48,440 Speaker 8: hide them as best they can. We've just changed the 156 00:09:48,480 --> 00:09:52,520 Speaker 8: accounting rules for loan modifications, by the way, so if 157 00:09:52,559 --> 00:09:54,960 Speaker 8: it pays for twelve months, we pretend the loan was 158 00:09:55,000 --> 00:09:58,880 Speaker 8: never modified. How cool is that? And I think that 159 00:09:58,960 --> 00:10:02,240 Speaker 8: the industry of the rate laters are all walking past 160 00:10:02,280 --> 00:10:06,000 Speaker 8: the graveyard because private equity, commercial real estate, all of 161 00:10:06,040 --> 00:10:10,040 Speaker 8: these sectors are still having significant problems. On the other hand, 162 00:10:10,160 --> 00:10:15,080 Speaker 8: consumer is quiet. We've been releasing reserves and reducing provisions 163 00:10:15,080 --> 00:10:18,559 Speaker 8: for loan loss on the consumer side because there's nothing 164 00:10:18,640 --> 00:10:21,840 Speaker 8: happening yet that may come next year. But the commercial 165 00:10:21,880 --> 00:10:25,319 Speaker 8: side is where the action is right now, Tom. 166 00:10:25,080 --> 00:10:27,120 Speaker 6: Chris, I've learned a new term, I guess in the 167 00:10:27,160 --> 00:10:30,600 Speaker 6: last few weeks, and that is the basement trade. Where 168 00:10:30,760 --> 00:10:33,960 Speaker 6: is my understanding is investors are saying, I'm worried about 169 00:10:33,960 --> 00:10:35,920 Speaker 6: all this government spending around the world, So maybe I 170 00:10:35,920 --> 00:10:40,040 Speaker 6: don't want to own government securities like currencies, maybe even 171 00:10:40,760 --> 00:10:43,240 Speaker 6: the government debt, and that includes the US stuff. 172 00:10:43,559 --> 00:10:46,880 Speaker 7: Maybe I'll buy some other stuff like gold. What do 173 00:10:46,920 --> 00:10:47,439 Speaker 7: you make of that? 174 00:10:49,120 --> 00:10:51,800 Speaker 8: I've been telling my readers to put at least ten 175 00:10:51,840 --> 00:10:55,080 Speaker 8: to fifteen percent of their total allocation in the gold 176 00:10:55,720 --> 00:10:58,960 Speaker 8: for most of this year, and I think it's solely 177 00:10:59,040 --> 00:11:02,360 Speaker 8: beginning to start for the simple reason that there isn't 178 00:11:02,360 --> 00:11:07,160 Speaker 8: a lot of deliverable supplying gold. People are worried about deficits. 179 00:11:07,200 --> 00:11:09,640 Speaker 8: They are worried about the dollar, and I think they're 180 00:11:09,720 --> 00:11:12,200 Speaker 8: right to do so. The dollar is probably going to 181 00:11:12,240 --> 00:11:16,760 Speaker 8: continue to go down. We have structural problems in this country. 182 00:11:16,960 --> 00:11:21,000 Speaker 8: You notice Chairman Powell is talking about continuing to shrink 183 00:11:21,040 --> 00:11:21,880 Speaker 8: the balance sheet. 184 00:11:22,160 --> 00:11:22,520 Speaker 3: Why. 185 00:11:22,920 --> 00:11:25,960 Speaker 8: As Bill Nelson at Bank Policy Institute wrote this week, 186 00:11:26,000 --> 00:11:29,040 Speaker 8: the Fed funds market may collapse thanks to the big 187 00:11:29,080 --> 00:11:31,720 Speaker 8: balance sheet. So we have a lot of issues. In 188 00:11:31,760 --> 00:11:36,040 Speaker 8: the background. The markets look great AI, everybody's still making 189 00:11:36,080 --> 00:11:39,320 Speaker 8: tons of money. But in the background, people are worried 190 00:11:39,720 --> 00:11:42,720 Speaker 8: because when you have these old time highs one after another, 191 00:11:43,040 --> 00:11:45,720 Speaker 8: they tend to not be confirmed after a while. 192 00:11:45,840 --> 00:11:48,720 Speaker 2: For Global Wall Street Worldwide on YouTube, across all of 193 00:11:48,760 --> 00:11:52,680 Speaker 2: our audio product Christopher Whalan joins us his one volume 194 00:11:52,720 --> 00:11:55,280 Speaker 2: on the American Financial system, my book of the Year. 195 00:11:55,720 --> 00:11:58,720 Speaker 2: Ages ago were begging him, He's going to put a book. 196 00:11:58,960 --> 00:11:59,920 Speaker 2: DiCaprio skeed. 197 00:12:00,400 --> 00:12:03,280 Speaker 7: Oh, I got to signed up and continue with Chris Whaley. 198 00:12:03,520 --> 00:12:04,199 Speaker 3: Chris talked to us. 199 00:12:04,160 --> 00:12:07,880 Speaker 6: About liquidity in the marketplace, and I'm thinking about not 200 00:12:07,960 --> 00:12:09,880 Speaker 6: so much as stock market, but just kind of across 201 00:12:09,920 --> 00:12:12,520 Speaker 6: the fixed income space, maybe the currency space. 202 00:12:12,960 --> 00:12:17,319 Speaker 7: Is that a worry for you, Yes. 203 00:12:17,480 --> 00:12:18,120 Speaker 3: Very much. So. 204 00:12:18,160 --> 00:12:22,240 Speaker 8: It's almost like we're back to December twenty eighteen when 205 00:12:22,440 --> 00:12:25,920 Speaker 8: Jerome Powell almost ran the ship aground. You recall they 206 00:12:25,920 --> 00:12:30,480 Speaker 8: pivoted very quickly in January nineteen and started easing. That's 207 00:12:30,520 --> 00:12:33,760 Speaker 8: when they went to this ample reserve policy that they've 208 00:12:33,800 --> 00:12:34,680 Speaker 8: had since then. 209 00:12:35,000 --> 00:12:37,319 Speaker 3: And I think that what we're worried about. 210 00:12:37,120 --> 00:12:40,560 Speaker 8: Is that the model that the FED uses to judge 211 00:12:40,600 --> 00:12:44,080 Speaker 8: whether liquidity is adequate or not is based on GDP, 212 00:12:44,600 --> 00:12:50,839 Speaker 8: which has nothing to do with anything. Liquidity is highly compartmentalized. 213 00:12:51,240 --> 00:12:54,400 Speaker 8: It does not flow one way in another, so you 214 00:12:54,840 --> 00:12:57,480 Speaker 8: really don't know until there's not enough. 215 00:12:57,679 --> 00:12:59,320 Speaker 5: Chris, I think that's where we are today. 216 00:13:00,040 --> 00:13:01,800 Speaker 2: I gotta get two things in here. It's too important. 217 00:13:01,760 --> 00:13:05,160 Speaker 2: Sweeney's lined up. Sweeny's got notes this morning for Chris Whalen. 218 00:13:05,240 --> 00:13:09,319 Speaker 2: I have Christopher Waller tomorrow. What is Chris Whalen's question 219 00:13:09,760 --> 00:13:13,360 Speaker 2: for Governor Waller A presultive chairman, What's your question? 220 00:13:13,480 --> 00:13:13,840 Speaker 3: Whalen? 221 00:13:15,160 --> 00:13:18,480 Speaker 8: He was very bullish on shrinking the balance sheet earlier 222 00:13:18,520 --> 00:13:21,360 Speaker 8: this year. Ask him how he feels now? Ask him 223 00:13:21,360 --> 00:13:22,720 Speaker 8: where round is now? 224 00:13:22,920 --> 00:13:23,760 Speaker 3: I don't have to work. 225 00:13:23,840 --> 00:13:27,720 Speaker 8: We're landing in the fall. We don't have an altimeter. Okay, 226 00:13:28,040 --> 00:13:31,319 Speaker 8: where is the ground? Does he know? That's the key question? 227 00:13:31,440 --> 00:13:31,560 Speaker 5: Broll. 228 00:13:31,640 --> 00:13:32,880 Speaker 3: Yeah, we'll try to get to that again. 229 00:13:32,880 --> 00:13:34,480 Speaker 2: You're going to see that in the nine o'clock hour 230 00:13:34,520 --> 00:13:38,000 Speaker 2: tomorrow with Christopher wall in his speech at the Council 231 00:13:38,040 --> 00:13:41,559 Speaker 2: and Foreign Relations, and then I will grill him as 232 00:13:41,600 --> 00:13:46,600 Speaker 2: best I can. He's really quite He's a prodigious intellect, folks, 233 00:13:46,600 --> 00:13:49,320 Speaker 2: particularly in the game theory of central banking. 234 00:13:49,400 --> 00:13:51,480 Speaker 3: Okay, Chris, let's go to it right now. 235 00:13:52,160 --> 00:13:55,760 Speaker 2: I suggest that the major banks, led by JP Morgan 236 00:13:56,400 --> 00:14:00,559 Speaker 2: and Bank of America literally are hiding how proud comfitable 237 00:14:00,640 --> 00:14:05,440 Speaker 2: they are. In the Whalen history, back to Granpa Whale 238 00:14:05,520 --> 00:14:08,800 Speaker 2: great great Grandpa Whalen was with Alexander Hamilton. A few 239 00:14:08,840 --> 00:14:13,920 Speaker 2: years ago, Chris Whalen described the profitability of this modern 240 00:14:14,000 --> 00:14:16,360 Speaker 2: era of ginormous big banks. 241 00:14:18,000 --> 00:14:21,440 Speaker 8: I'm not sure that they're that much more profitable today 242 00:14:21,480 --> 00:14:24,160 Speaker 8: than they have been in the past. Asset returns are 243 00:14:24,160 --> 00:14:28,960 Speaker 8: barely one percent. They are giving back capital because they're underutilized. 244 00:14:29,480 --> 00:14:31,640 Speaker 8: Why are they lending all this money to non bank, 245 00:14:32,200 --> 00:14:36,320 Speaker 8: non depository institutions because loan demand otherwise is pretty slack. 246 00:14:36,640 --> 00:14:39,720 Speaker 8: You know, deposits are growing twice as fast as demand 247 00:14:39,720 --> 00:14:43,520 Speaker 8: for loans. So hopefully when rates fall, we'll see volumes 248 00:14:43,560 --> 00:14:46,520 Speaker 8: pick up a bit like last September. This September two, 249 00:14:46,560 --> 00:14:47,880 Speaker 8: by the way, is going to turn out to be 250 00:14:47,920 --> 00:14:51,080 Speaker 8: a very good month for banks and non banks. But 251 00:14:51,200 --> 00:14:52,960 Speaker 8: you know, the bottom line is that there are so 252 00:14:53,000 --> 00:14:56,280 Speaker 8: many alternatives to traditional banks now that have been spawned 253 00:14:56,280 --> 00:14:59,600 Speaker 8: in the equity markets and are funded with actity and debt, 254 00:15:00,080 --> 00:15:02,920 Speaker 8: that you have plenty places to go spawn. 255 00:15:03,200 --> 00:15:07,280 Speaker 3: Yes, exactly, only way they would say spawn, private credit. 256 00:15:07,120 --> 00:15:11,000 Speaker 7: Was spawned exactly. Hey, here, get your thoughts on the 257 00:15:11,000 --> 00:15:11,680 Speaker 7: housing market. 258 00:15:11,680 --> 00:15:15,080 Speaker 6: Broady defined here that affordability issue continues to be a huge, 259 00:15:15,120 --> 00:15:17,920 Speaker 6: huge issue for people, particularly young people. I got a 260 00:15:17,920 --> 00:15:20,480 Speaker 6: mortgage rate still got a six handle out there, and 261 00:15:20,520 --> 00:15:23,480 Speaker 6: I've got housing costs that are fifty percent since twenty nineteen. 262 00:15:24,360 --> 00:15:27,000 Speaker 7: This is a problem, isn't it. 263 00:15:27,000 --> 00:15:29,080 Speaker 8: It is, But it's a problem that's going to be fixed. 264 00:15:29,480 --> 00:15:32,040 Speaker 8: Donald Trump is going to goos to housing market with 265 00:15:32,080 --> 00:15:35,520 Speaker 8: his friend Bill Polti. They want to support homebuilders at 266 00:15:35,560 --> 00:15:38,320 Speaker 8: a time when the homebuilders have already got too much inventory. 267 00:15:38,680 --> 00:15:42,080 Speaker 8: Supply has caught up with demand. And remember the prediction 268 00:15:42,160 --> 00:15:44,960 Speaker 8: of my good friend Stan Middleman, the founder of Freedom 269 00:15:45,000 --> 00:15:47,760 Speaker 8: Mortgage Misery on the eighths. I think we see a 270 00:15:47,800 --> 00:15:51,560 Speaker 8: maxi home price reset in twenty twenty eight. If you've 271 00:15:51,560 --> 00:15:56,080 Speaker 8: got that high coupon mortgage, wait a little bit and 272 00:15:56,240 --> 00:15:58,760 Speaker 8: maybe go into a floater, and then you'll be able 273 00:15:58,760 --> 00:16:01,280 Speaker 8: to refinance it much lower in a couple of years. 274 00:16:02,000 --> 00:16:05,000 Speaker 6: So, Chris, I guess the question is that there seems 275 00:16:05,040 --> 00:16:06,360 Speaker 6: to be a housing shortage in this country. 276 00:16:06,400 --> 00:16:08,280 Speaker 7: I'm not sure how he got there. How do you 277 00:16:08,320 --> 00:16:09,320 Speaker 7: think that happened in. 278 00:16:09,200 --> 00:16:12,000 Speaker 8: Some parts of the country, not everywhere here in New York, 279 00:16:12,240 --> 00:16:15,320 Speaker 8: in the Blue States where we don't build. Yes, it's 280 00:16:15,400 --> 00:16:17,840 Speaker 8: astounding to me because this is a market that had 281 00:16:18,000 --> 00:16:21,520 Speaker 8: very poor volumes before COVID, but the prices keep going 282 00:16:21,600 --> 00:16:24,560 Speaker 8: up because nobody's building houses. Down south, we have the 283 00:16:24,560 --> 00:16:28,680 Speaker 8: opposite problem. Chris Carolina is in Texas, Florida. We are 284 00:16:28,800 --> 00:16:30,040 Speaker 8: up to our ear lobes and. 285 00:16:30,000 --> 00:16:34,280 Speaker 2: Support Michael Barrowe's equal time. Chris Whalen quickly here every 286 00:16:34,320 --> 00:16:37,560 Speaker 2: Brady undergraduate wants to know when's the new book come out? 287 00:16:39,080 --> 00:16:42,160 Speaker 8: Well, the second edition should have inflated is out, of course, 288 00:16:42,520 --> 00:16:45,560 Speaker 8: and I did that for you. David Kotok did the introduction, 289 00:16:45,640 --> 00:16:47,880 Speaker 8: by the way, very cool, and we're working on a 290 00:16:47,880 --> 00:16:50,200 Speaker 8: gold book for next year, which will be very good. 291 00:16:50,320 --> 00:16:52,400 Speaker 3: You'll probably talk to Iike agreed. That's the way. Chris 292 00:16:52,400 --> 00:16:54,920 Speaker 3: Whalen rules. Christopher Whalen, thank you so much. 293 00:16:55,360 --> 00:16:59,240 Speaker 2: I can't say enough, folks the importance of his skepticism 294 00:16:59,640 --> 00:17:02,800 Speaker 2: about some of the verbiage of our financial system. 295 00:17:03,240 --> 00:17:04,000 Speaker 3: Stay with us. 296 00:17:04,200 --> 00:17:14,520 Speaker 2: More from Bloomberg Surveillance coming up after this. 297 00:17:14,520 --> 00:17:18,440 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 298 00:17:18,440 --> 00:17:21,760 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 299 00:17:21,880 --> 00:17:24,840 Speaker 1: with the Bloomberg Business app. You can also listen live 300 00:17:24,920 --> 00:17:28,520 Speaker 1: on Amazon Alexa from our flagship New York station, Just 301 00:17:28,560 --> 00:17:31,080 Speaker 1: say Alexa play Bloomberg eleven thirty. 302 00:17:31,440 --> 00:17:32,040 Speaker 3: She had a. 303 00:17:32,000 --> 00:17:35,800 Speaker 2: Huge impact the last time she was on. Fatima Bulani 304 00:17:35,920 --> 00:17:38,840 Speaker 2: joins us. She is at City Group and she is 305 00:17:39,080 --> 00:17:45,240 Speaker 2: hard wired into the technology and software industry. Fatima Bulani 306 00:17:45,320 --> 00:17:48,600 Speaker 2: joins us for an important brief this morning. Burying your 307 00:17:48,600 --> 00:17:51,359 Speaker 2: note Fatima work. Not only in the first inning, the 308 00:17:51,400 --> 00:17:55,200 Speaker 2: guy the third batters of the ondeck circle. You've got 309 00:17:55,280 --> 00:18:00,800 Speaker 2: six percent of software spend is on AI. Where is 310 00:18:00,840 --> 00:18:05,880 Speaker 2: that software spend on AI in one year, in three years, 311 00:18:06,000 --> 00:18:06,960 Speaker 2: in five years. 312 00:18:08,359 --> 00:18:11,320 Speaker 9: Well, it's it's a race to catch up here. You know, 313 00:18:12,040 --> 00:18:16,640 Speaker 9: we have the pleasure and privilege of running our CIO 314 00:18:16,720 --> 00:18:21,399 Speaker 9: survey every quarter, so excellent time series data and information 315 00:18:21,680 --> 00:18:26,160 Speaker 9: about you know, an average organization and very large organizations 316 00:18:26,320 --> 00:18:32,680 Speaker 9: appetite and proclivity to invest in particular parts of their 317 00:18:32,680 --> 00:18:36,320 Speaker 9: IT infrastructure. And you know, I think the trends we 318 00:18:36,359 --> 00:18:40,040 Speaker 9: are seeing as we're inching closer and closer to having AI, 319 00:18:40,400 --> 00:18:45,359 Speaker 9: generative AI and related efforts to operationalize this concept of 320 00:18:45,400 --> 00:18:48,679 Speaker 9: AI really showing up in the budgets and the wallet 321 00:18:48,720 --> 00:18:52,240 Speaker 9: and the wallet allocation, and so you know, I think 322 00:18:52,240 --> 00:18:55,280 Speaker 9: it's it's tough tough to sort of, you know, look 323 00:18:55,320 --> 00:18:57,359 Speaker 9: into the crystal valid say that six percent is going 324 00:18:57,359 --> 00:19:01,480 Speaker 9: to become twelve percent in the next twelve months. But 325 00:19:01,800 --> 00:19:08,320 Speaker 9: the infrastructure spending and the velocity with which we're seeing 326 00:19:08,680 --> 00:19:11,560 Speaker 9: so much capital being thrown at, you know. 327 00:19:11,600 --> 00:19:15,320 Speaker 5: Enabling the AI enterprise, you know, it's. 328 00:19:15,160 --> 00:19:17,840 Speaker 9: Only a matter of time till organizations catch up, and really, 329 00:19:17,880 --> 00:19:19,879 Speaker 9: you know, one of the gating factors, and ultimately there 330 00:19:19,880 --> 00:19:23,760 Speaker 9: are several gating factories. There's a lot of spaghetti being 331 00:19:23,760 --> 00:19:26,440 Speaker 9: thrown on the wall way zat Black. 332 00:19:26,240 --> 00:19:30,280 Speaker 2: Recking and VIDIA forty billion today a small number moments ago, 333 00:19:30,760 --> 00:19:35,640 Speaker 2: Oracle collaborates with Microsoft to enhance supply chain efficiency. 334 00:19:35,760 --> 00:19:37,240 Speaker 7: There you go, I have no I no idea. 335 00:19:37,400 --> 00:19:38,960 Speaker 3: Only Fatima knows what that is. 336 00:19:39,520 --> 00:19:42,280 Speaker 6: Fatima, I know in your survey here the next twelve 337 00:19:42,280 --> 00:19:46,880 Speaker 6: month IT budget growth weakens with the US and EMEA 338 00:19:47,040 --> 00:19:48,320 Speaker 6: below historical levels. 339 00:19:48,680 --> 00:19:51,919 Speaker 7: Why is that? Do you think? You know, I think the. 340 00:19:52,160 --> 00:19:57,080 Speaker 9: Inference there is there's most likely some share shift happening. Right, 341 00:19:57,680 --> 00:20:03,800 Speaker 9: Most I organizations have the unfortunate uh decision and dilemma of, 342 00:20:04,200 --> 00:20:06,159 Speaker 9: you know, keeping the lights on. So you have to 343 00:20:06,240 --> 00:20:10,040 Speaker 9: invest in existing uh in your existing footprint of it 344 00:20:10,920 --> 00:20:14,960 Speaker 9: UH infrastructure and capabilities just to keep the lights on. 345 00:20:15,080 --> 00:20:17,320 Speaker 9: But then at the same time you have to sort 346 00:20:17,320 --> 00:20:19,760 Speaker 9: of invest where the puck is going. Look at me 347 00:20:19,800 --> 00:20:24,880 Speaker 9: mixing my metaphors, right, and so that's very like, yeah, 348 00:20:26,560 --> 00:20:30,200 Speaker 9: that's the partial Canadian and me talking, and so really 349 00:20:30,240 --> 00:20:32,879 Speaker 9: it's uh, you know this this notion and this inference 350 00:20:32,960 --> 00:20:36,280 Speaker 9: of we're going to see some wallet share shifting in 351 00:20:36,359 --> 00:20:39,840 Speaker 9: terms of allocation and right, so, uh, how how do 352 00:20:39,920 --> 00:20:41,399 Speaker 9: you avoid starving? 353 00:20:41,960 --> 00:20:42,200 Speaker 6: Uh? 354 00:20:42,320 --> 00:20:44,240 Speaker 9: You know, initiatives that help keep the lights on in 355 00:20:44,240 --> 00:20:50,080 Speaker 9: the organization whilst also straddling this executive and boardroom mandate 356 00:20:50,119 --> 00:20:51,919 Speaker 9: of we have to do something with AI, we have 357 00:20:52,000 --> 00:20:57,680 Speaker 9: to invest in AI, we have to create capabilities and operationalize. Uh, 358 00:20:57,880 --> 00:21:00,919 Speaker 9: these AI efforts to build busines, this value and delivered 359 00:21:00,920 --> 00:21:01,840 Speaker 9: business value. 360 00:21:02,040 --> 00:21:04,199 Speaker 6: It seems like all Tom and I talk about all 361 00:21:04,320 --> 00:21:08,320 Speaker 6: day is AI. But your survey indicates that cybersecurity remains 362 00:21:08,359 --> 00:21:11,320 Speaker 6: the number one investment priority. 363 00:21:11,359 --> 00:21:12,119 Speaker 7: Talk to us about that. 364 00:21:13,560 --> 00:21:17,840 Speaker 9: Yeah, I rtially joke that once cybersecurity falls off the 365 00:21:17,920 --> 00:21:20,400 Speaker 9: number one perch, you know, wake me up when that happens. 366 00:21:20,440 --> 00:21:24,159 Speaker 9: Because this has been a very very consistent theme and 367 00:21:24,240 --> 00:21:28,479 Speaker 9: trend in over a decade of survey results and survey 368 00:21:28,520 --> 00:21:31,119 Speaker 9: work that we've done. Right that being said, you know, 369 00:21:31,200 --> 00:21:37,159 Speaker 9: cybersecurity has become this this snowballing, this juggernaut of a 370 00:21:37,240 --> 00:21:42,320 Speaker 9: priority for boardrooms and now especially now because you're a 371 00:21:42,400 --> 00:21:46,200 Speaker 9: tech surface, has you know, effectively metastasized, right, I mean 372 00:21:46,800 --> 00:21:49,679 Speaker 9: back in the nineteen nineties, it was your corporate network 373 00:21:49,800 --> 00:21:53,040 Speaker 9: and the Internet you just had to protect. You know, 374 00:21:53,160 --> 00:21:55,120 Speaker 9: you just have to bear your corporate net the work 375 00:21:55,119 --> 00:21:59,080 Speaker 9: against the Internet. And now it's cloud, it's remote workers, 376 00:21:59,119 --> 00:22:04,800 Speaker 9: it's you know, your distributed offices, it's AI, right, and 377 00:22:04,880 --> 00:22:10,399 Speaker 9: so the new blind spots, the exposure, the susceptibility of 378 00:22:10,440 --> 00:22:14,240 Speaker 9: what used to be a pretty tightly controlled network is 379 00:22:14,320 --> 00:22:16,399 Speaker 9: completely unfurled, right, and so you kind of get the 380 00:22:16,480 --> 00:22:20,480 Speaker 9: dynamic of your entire attack surface not only has increased, 381 00:22:20,520 --> 00:22:24,679 Speaker 9: it's also changed and it's so much more nuances. And 382 00:22:24,680 --> 00:22:26,840 Speaker 9: so that's why, you know, cybersecurity is sort of going 383 00:22:26,840 --> 00:22:29,800 Speaker 9: to be the perennial number one spot. And you know, 384 00:22:29,840 --> 00:22:31,399 Speaker 9: one of the things that you sort of asked me 385 00:22:31,440 --> 00:22:35,080 Speaker 9: earlier was, well, what's stopping organizations from taking six percent 386 00:22:35,080 --> 00:22:39,040 Speaker 9: of their IT budgets allocated towards AI initiatives? The twenty 387 00:22:39,160 --> 00:22:42,040 Speaker 9: twenty five fifty cybersecurity is one of those reasons. 388 00:22:42,040 --> 00:22:47,639 Speaker 2: Okay, yeah, Fatima, that's just brilliant Mark Bergenfolks his brilliant effort. 389 00:22:47,680 --> 00:22:50,640 Speaker 2: I read a cover to cover like comments, subscribe Mark 390 00:22:50,680 --> 00:22:53,760 Speaker 2: Bergen's Definitive book on YouTube. Thank you for that, He 391 00:22:53,840 --> 00:22:58,959 Speaker 2: writes this morning for Bloomberg news Fatima, Microsoft cuts forth 392 00:22:59,240 --> 00:23:04,320 Speaker 2: n scaled deal with Texas AI data center they're going 393 00:23:04,400 --> 00:23:06,960 Speaker 2: to build. I love this, Paul, thank you for Bloomberg 394 00:23:07,040 --> 00:23:11,199 Speaker 2: AI n scale two hundred and forty megawatts of power. 395 00:23:12,119 --> 00:23:14,920 Speaker 2: The site will deploy one hundred and four thousand new 396 00:23:15,119 --> 00:23:16,040 Speaker 2: Nvidia Corp. 397 00:23:16,520 --> 00:23:18,639 Speaker 3: Chips. The rest of it I don't understand. 398 00:23:20,040 --> 00:23:23,320 Speaker 2: I mean, Fatima, how does a pro like you who's 399 00:23:23,400 --> 00:23:27,520 Speaker 2: worried about cash flow at Microsoft, how do you bring 400 00:23:27,640 --> 00:23:32,199 Speaker 2: in this utility constraint that Mark Bergen writes about this morning. 401 00:23:33,640 --> 00:23:34,719 Speaker 7: You know, it's a fair question. 402 00:23:34,880 --> 00:23:37,800 Speaker 9: And the way I will frame this for you is, 403 00:23:38,320 --> 00:23:42,880 Speaker 9: you know, organizations are principally trying to solve for productivity gains, right, 404 00:23:42,920 --> 00:23:45,359 Speaker 9: you know, business value, productivity gains, et cetera. So a 405 00:23:45,440 --> 00:23:47,920 Speaker 9: lot of what we're seeing on the software side in 406 00:23:48,000 --> 00:23:51,480 Speaker 9: terms of the monetization question, right, we're seeing the picks 407 00:23:51,560 --> 00:23:56,080 Speaker 9: and shovels trade in the AI trade opportunity on fire. 408 00:23:56,200 --> 00:23:57,760 Speaker 9: It is absolutely in fuego. 409 00:23:57,920 --> 00:23:58,080 Speaker 3: Right. 410 00:23:58,400 --> 00:24:01,399 Speaker 9: And you know one of the main overhands on the 411 00:24:01,720 --> 00:24:05,040 Speaker 9: aggregate enterprise software space is when are software vendor is 412 00:24:05,040 --> 00:24:06,720 Speaker 9: going to get paid for all this stuff? Right? 413 00:24:06,800 --> 00:24:10,560 Speaker 2: Right? Okay, we got to go Fatima, that's precisely the 414 00:24:10,640 --> 00:24:13,480 Speaker 2: worry that Lisa Matail has about AI. 415 00:24:13,840 --> 00:24:17,119 Speaker 3: Do you worry that the software vendors will get paid? 416 00:24:19,000 --> 00:24:21,040 Speaker 9: You know, we think software vendors are going to get paid, 417 00:24:21,040 --> 00:24:24,320 Speaker 9: but it's important and critical to pick your spots. 418 00:24:24,840 --> 00:24:24,959 Speaker 7: Uh. 419 00:24:25,119 --> 00:24:28,679 Speaker 9: You know, we like to bifurcate the entire enterprise software 420 00:24:28,720 --> 00:24:33,520 Speaker 9: space into application and infrastructure, and we're firm believers that 421 00:24:33,640 --> 00:24:38,120 Speaker 9: the infrastructure software space is going to be the more 422 00:24:38,240 --> 00:24:41,400 Speaker 9: insulated of the two you have. I'm certain you've heard 423 00:24:41,480 --> 00:24:46,439 Speaker 9: the terms of vibe coding and large language models, you know, 424 00:24:46,560 --> 00:24:50,520 Speaker 9: chasing application software companies, you know, you know, out of 425 00:24:50,560 --> 00:24:54,479 Speaker 9: the room, right, And so there's a general view and 426 00:24:54,520 --> 00:24:59,119 Speaker 9: we'd subscribe to this as well that if you provide tooling, software, 427 00:24:59,520 --> 00:25:02,320 Speaker 9: plumbing and tooling that's sort of behind the scenes, that's 428 00:25:02,359 --> 00:25:05,160 Speaker 9: a better position to be in terms of monetizing and commercials. 429 00:25:05,560 --> 00:25:08,200 Speaker 3: Paul's yelling at me, go to Bar Fatima. 430 00:25:08,280 --> 00:25:10,920 Speaker 2: I got twenty seconds your single best buy right now 431 00:25:10,960 --> 00:25:11,680 Speaker 2: at City Group. 432 00:25:13,320 --> 00:25:17,919 Speaker 9: A big fan of a company called Rubric RBRK. Not 433 00:25:18,119 --> 00:25:22,080 Speaker 9: one that's on everyone's lips. It's not one that's talked 434 00:25:22,119 --> 00:25:26,359 Speaker 9: about very much, but in an era where data is 435 00:25:26,359 --> 00:25:29,000 Speaker 9: going to explode. The fidelity and integrity of your data 436 00:25:29,040 --> 00:25:32,520 Speaker 9: is going to determine how good your AI applications are. 437 00:25:32,920 --> 00:25:34,679 Speaker 9: Oh and by the way, if there's a cyber attack 438 00:25:34,760 --> 00:25:37,520 Speaker 9: that happens and you have to recover all this business data, 439 00:25:38,200 --> 00:25:41,600 Speaker 9: rubric is the play Ruber way to play RBRK. 440 00:25:41,960 --> 00:25:42,480 Speaker 3: Is that right? 441 00:25:42,560 --> 00:25:43,600 Speaker 7: Yeah, it's a that's right. 442 00:25:43,680 --> 00:25:46,720 Speaker 6: Sixteen billion dollar market cap stocks up about twenty percent 443 00:25:46,840 --> 00:25:49,200 Speaker 6: year to date, is doubled over the past twelve months. 444 00:25:49,200 --> 00:25:50,960 Speaker 7: So it's been a oh good and a good one there. 445 00:25:51,119 --> 00:25:53,639 Speaker 2: Yeah, she didn't call me on this Fatima, let me 446 00:25:53,680 --> 00:25:56,000 Speaker 2: down and didn't call me up a stupid bye. 447 00:25:56,000 --> 00:26:01,920 Speaker 3: This good morning. Palo Alto, yep three employed a stronger 448 00:26:01,960 --> 00:26:04,240 Speaker 3: for the team of belining jes love it. Thank you 449 00:26:04,280 --> 00:26:07,600 Speaker 3: so much. She is with City Group. Stay with us. 450 00:26:07,840 --> 00:26:18,480 Speaker 2: More from Bloomberg Surveillance coming up after this. 451 00:26:18,480 --> 00:26:22,359 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 452 00:26:22,440 --> 00:26:25,439 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 453 00:26:25,480 --> 00:26:28,440 Speaker 1: Auto with the Bloomberg Business app. You can also watch 454 00:26:28,560 --> 00:26:31,480 Speaker 1: us live every weekday on YouTube and always on the 455 00:26:31,520 --> 00:26:32,600 Speaker 1: Bloomberg terminal. 456 00:26:32,720 --> 00:26:35,000 Speaker 2: Time out for the daily look. It is the front 457 00:26:35,000 --> 00:26:36,359 Speaker 2: pages around the world. 458 00:26:36,600 --> 00:26:40,919 Speaker 7: Do we thank Lisa for the newspaper. 459 00:26:41,240 --> 00:26:42,800 Speaker 3: Tell me there's nothing on the banks. 460 00:26:43,000 --> 00:26:46,639 Speaker 10: No, nothing on the bank we got. Okay, have you 461 00:26:47,320 --> 00:26:49,440 Speaker 10: gotten those annoying scam text messages? 462 00:26:51,200 --> 00:26:54,840 Speaker 7: I know it's like page Tim. 463 00:26:54,680 --> 00:26:56,000 Speaker 3: Cook, I know you're listening. 464 00:26:56,240 --> 00:26:57,600 Speaker 7: Do something, fix it, fix it. 465 00:26:57,720 --> 00:27:01,720 Speaker 10: Okay, Well we now know who's behind this. So this 466 00:27:01,800 --> 00:27:05,000 Speaker 10: is in the Wall Street Journal. Really interesting. The Department 467 00:27:05,040 --> 00:27:08,240 Speaker 10: of Homeland Security is saying criminal organizations in China have 468 00:27:08,359 --> 00:27:11,359 Speaker 10: made more than a billion dollars in the last three 469 00:27:11,520 --> 00:27:17,000 Speaker 10: years through those test mech text scams. They have sim farms, 470 00:27:17,240 --> 00:27:19,080 Speaker 10: that's how they do a lot of it. They use 471 00:27:19,160 --> 00:27:24,720 Speaker 10: the credit card info. They buy iPhones, gift cards, clothing, cosmetics. 472 00:27:24,200 --> 00:27:29,000 Speaker 2: Are well, yesterday it was absolutely verbatim text message hey 473 00:27:29,040 --> 00:27:30,200 Speaker 2: that I can't remember the vendor. 474 00:27:30,240 --> 00:27:32,800 Speaker 3: It wasn't the bank, it was somebody else, Paul. 475 00:27:32,840 --> 00:27:33,560 Speaker 5: It was perfect. 476 00:27:33,800 --> 00:27:39,160 Speaker 7: Yeah, mine was his easy pass. Yes, all over the place. 477 00:27:39,240 --> 00:27:42,720 Speaker 7: My kids got them. It's so who knows. But I'm like, 478 00:27:42,720 --> 00:27:45,200 Speaker 7: I'm not paying anybody door. 479 00:27:45,400 --> 00:27:45,640 Speaker 1: Yeah. 480 00:27:45,640 --> 00:27:48,000 Speaker 10: So this is the thing they they're trying to like do. 481 00:27:48,160 --> 00:27:49,960 Speaker 10: They can't do anything about it. It's a man of 482 00:27:50,000 --> 00:27:54,400 Speaker 10: the moon exactly exactly. But they just if you look 483 00:27:54,440 --> 00:27:56,399 Speaker 10: at the article. It really goes into the whole process 484 00:27:56,400 --> 00:27:59,400 Speaker 10: of how there's videos showing the people doing it. I mean, 485 00:27:59,440 --> 00:28:02,760 Speaker 10: it's it's such an intricate process. But yes, the question 486 00:28:02,800 --> 00:28:04,800 Speaker 10: still remains, what are we going to do about it? 487 00:28:05,480 --> 00:28:05,760 Speaker 7: Okay? 488 00:28:05,800 --> 00:28:07,639 Speaker 10: So this I'm going to pull an audible on this 489 00:28:07,720 --> 00:28:10,440 Speaker 10: because since we go from tech scams, remember the scam 490 00:28:10,440 --> 00:28:13,560 Speaker 10: in London, all these phones being stolen all the time, 491 00:28:14,200 --> 00:28:16,720 Speaker 10: eighty thousand phones stolen in the city last year. So 492 00:28:16,760 --> 00:28:19,520 Speaker 10: the police are saying it goes to the black market 493 00:28:19,840 --> 00:28:21,840 Speaker 10: for European cell phones in China. 494 00:28:22,240 --> 00:28:24,000 Speaker 7: Here we go again, the same phones. 495 00:28:24,280 --> 00:28:26,639 Speaker 10: Some are reset, they're sold to new users in Britain, 496 00:28:26,960 --> 00:28:29,000 Speaker 10: but a lot of them they're shipped to China and 497 00:28:29,040 --> 00:28:32,200 Speaker 10: also Algeria and China. The newest phones they could be 498 00:28:32,240 --> 00:28:34,440 Speaker 10: sold for like five thousand dollars. So this is what's 499 00:28:34,480 --> 00:28:37,000 Speaker 10: going on there. So the reasoning behind that, because you 500 00:28:37,000 --> 00:28:38,080 Speaker 10: hear those stories the. 501 00:28:38,080 --> 00:28:41,400 Speaker 2: Tech management, all these guys with the gajillion dollars they're 502 00:28:41,440 --> 00:28:43,760 Speaker 2: showing up for FaceTime with the president. 503 00:28:44,280 --> 00:28:46,800 Speaker 3: This is where they could really help people, yep, with 504 00:28:46,880 --> 00:28:48,960 Speaker 3: their technology. I just don't get it. 505 00:28:49,440 --> 00:28:52,760 Speaker 10: I don't either, Okay, I want to go to this 506 00:28:52,880 --> 00:28:56,360 Speaker 10: new ranking. It shows the declining strength of the US passport. 507 00:28:56,840 --> 00:28:59,360 Speaker 10: This isn't a Washington Post. It's the latest edition of 508 00:28:59,360 --> 00:29:03,080 Speaker 10: the Henley Passport Index. So this index basically ranks nations 509 00:29:03,120 --> 00:29:05,960 Speaker 10: based on the number of destinations someone can go to 510 00:29:06,120 --> 00:29:09,440 Speaker 10: and visit without needing a visa. Okay, so it shows 511 00:29:09,480 --> 00:29:11,800 Speaker 10: the US passport. It's fallen out of the top ten 512 00:29:11,840 --> 00:29:15,320 Speaker 10: most powerful passports globally the first time in twenty years. 513 00:29:15,440 --> 00:29:18,040 Speaker 10: It's now at number twelve, tied with Malaysia. 514 00:29:18,160 --> 00:29:18,600 Speaker 5: There you go. 515 00:29:18,760 --> 00:29:19,840 Speaker 3: A decade ago it was. 516 00:29:19,800 --> 00:29:22,920 Speaker 10: At number one, so you could see the declining. Singapore 517 00:29:23,000 --> 00:29:25,360 Speaker 10: is the number one spot one hundred and ninety three destinations, 518 00:29:25,400 --> 00:29:27,360 Speaker 10: followed by South Korea and also Japan. 519 00:29:28,000 --> 00:29:30,200 Speaker 6: I got the Irish passport back in the day, like 520 00:29:30,280 --> 00:29:32,640 Speaker 6: thirty years ago. They were given them a litt Yeah, 521 00:29:32,720 --> 00:29:33,880 Speaker 6: they were literally did you get. 522 00:29:33,800 --> 00:29:34,840 Speaker 3: A case to gain us with that? 523 00:29:35,120 --> 00:29:35,280 Speaker 5: No? 524 00:29:35,400 --> 00:29:37,360 Speaker 7: But I used it after nine to eleven. I had 525 00:29:37,360 --> 00:29:37,960 Speaker 7: a lot of travel. 526 00:29:38,000 --> 00:29:40,480 Speaker 6: After nine eleven, I felt more comfortable with the Irish 527 00:29:40,480 --> 00:29:44,040 Speaker 6: reelaking today yeah see yeah, so, but I. 528 00:29:43,960 --> 00:29:45,800 Speaker 3: Know lots of people getting too bad. I do not 529 00:29:45,920 --> 00:29:46,200 Speaker 3: do that. 530 00:29:47,000 --> 00:29:49,640 Speaker 6: I mean again, this was thirty years ago. Send in 531 00:29:49,680 --> 00:29:51,000 Speaker 6: like a ten dollars checking. 532 00:29:51,120 --> 00:29:53,960 Speaker 2: I want to get a passport for Quebec because Montreal 533 00:29:54,040 --> 00:29:54,360 Speaker 2: is killed. 534 00:29:54,400 --> 00:29:57,160 Speaker 3: Sure right now? Are do you have any more? 535 00:29:57,480 --> 00:29:57,680 Speaker 2: Yeah? 536 00:29:57,880 --> 00:29:59,760 Speaker 7: Okay, one last one. 537 00:30:00,080 --> 00:30:03,000 Speaker 10: This is about Remember those fancy long business lunches you 538 00:30:03,120 --> 00:30:05,400 Speaker 10: probably used to do. They would extend into like dinner 539 00:30:05,440 --> 00:30:08,320 Speaker 10: time and keep going. Well, the Financial Times are saying 540 00:30:08,440 --> 00:30:11,760 Speaker 10: weight loss drugs are killing that business, you know, the 541 00:30:11,800 --> 00:30:14,160 Speaker 10: business lunch because a lot more people they're ordering less. 542 00:30:14,200 --> 00:30:17,480 Speaker 10: They might not want to go because they're eating less, 543 00:30:17,640 --> 00:30:21,000 Speaker 10: they don't drink alcohol as much. So it really goes 544 00:30:21,000 --> 00:30:23,120 Speaker 10: into that and how it's hurting restaurants to list. 545 00:30:23,120 --> 00:30:25,200 Speaker 3: I'm gonna tell a wonderful newspapers. Thank you so much. 546 00:30:25,560 --> 00:30:30,400 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 547 00:30:30,520 --> 00:30:34,800 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 548 00:30:34,960 --> 00:30:38,160 Speaker 1: seven to ten am Easter and on Bloomberg dot Com, 549 00:30:38,320 --> 00:30:42,160 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 550 00:30:42,440 --> 00:30:45,560 Speaker 1: You can also watch us live every weekday on YouTube 551 00:30:45,840 --> 00:30:47,840 Speaker 1: and always on the Bloomberg terminal