1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen. And always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:47,680 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app. Joining us 11 00:00:47,760 --> 00:00:50,640 Speaker 2: right now. He's always able to rip up the script. 12 00:00:51,560 --> 00:00:54,880 Speaker 2: Is William Lee, definitive at the IMF. He's the chief 13 00:00:54,880 --> 00:00:57,680 Speaker 2: economist from mister Milkin out at the Milkin Institute. 14 00:00:57,720 --> 00:00:59,160 Speaker 3: They're soare coming up, you know? 15 00:00:59,480 --> 00:00:59,800 Speaker 4: Is that right? 16 00:01:00,360 --> 00:01:00,840 Speaker 3: It's great? 17 00:01:00,960 --> 00:01:03,120 Speaker 2: Okay. They give me a corner room at the Beverly 18 00:01:03,200 --> 00:01:04,520 Speaker 2: Hills Hotel. 19 00:01:04,640 --> 00:01:06,000 Speaker 5: Yep, little Kambas Suite. 20 00:01:06,040 --> 00:01:08,040 Speaker 2: I'm not going this year, but you know there it 21 00:01:08,080 --> 00:01:10,480 Speaker 2: is Billy, chief economist at Milkin. 22 00:01:11,000 --> 00:01:14,640 Speaker 3: And only with Bill Lee can I rip up the script. 23 00:01:14,840 --> 00:01:18,400 Speaker 2: Is Three hours ago a video came out of Ambassador 24 00:01:18,520 --> 00:01:23,200 Speaker 2: Nicholas Burns of Swellesley, Massachusetts, and one the Secretary of 25 00:01:23,200 --> 00:01:26,200 Speaker 2: Treasury Janet Yelling Yep and Bill Lee. There at the 26 00:01:26,280 --> 00:01:30,319 Speaker 2: Jinger Brewing Company, opened in twenty twelve by Alex Aker 27 00:01:30,360 --> 00:01:34,520 Speaker 2: and Christian Lee. It's a micro brewery in Beijing. And 28 00:01:34,600 --> 00:01:39,000 Speaker 2: we're down to our export import policy in trade with China. 29 00:01:39,080 --> 00:01:45,160 Speaker 2: Billy of discussing American hops in a beer in Beijing. 30 00:01:46,120 --> 00:01:49,960 Speaker 2: How desperate are we in our policy now with China 31 00:01:50,400 --> 00:01:52,640 Speaker 2: or is it cogent and cohesive? 32 00:01:54,040 --> 00:01:56,320 Speaker 6: Well, the real question is how testper of the Chinese 33 00:01:56,360 --> 00:01:59,720 Speaker 6: with their inport export policies. They know they can't live 34 00:01:59,720 --> 00:02:02,360 Speaker 6: without the United States, but they want to have the 35 00:02:02,440 --> 00:02:05,400 Speaker 6: United States come to them on their terms. You know, 36 00:02:05,440 --> 00:02:07,640 Speaker 6: for every story that we hear about how the Chinese 37 00:02:07,640 --> 00:02:10,600 Speaker 6: economy is reviving, there are stories that we also hear 38 00:02:11,080 --> 00:02:15,080 Speaker 6: that don't match up with the official data. Iconic places 39 00:02:15,120 --> 00:02:19,440 Speaker 6: on Nanjing Road in Shanghai that have long been establishments 40 00:02:19,480 --> 00:02:22,320 Speaker 6: that serve the elites of business. Yes on the shutdown 41 00:02:22,400 --> 00:02:25,120 Speaker 6: because there's no business and they really need to have 42 00:02:25,160 --> 00:02:28,840 Speaker 6: our input export policies in place because they need stuff 43 00:02:28,880 --> 00:02:30,840 Speaker 6: from the United States just as much as the United 44 00:02:30,880 --> 00:02:31,600 Speaker 6: States need stuff. 45 00:02:31,840 --> 00:02:34,560 Speaker 2: You were expert at disbility, and I know Hong Kong 46 00:02:34,560 --> 00:02:36,680 Speaker 2: gets all the attention and the emotion of the British 47 00:02:36,720 --> 00:02:39,720 Speaker 2: and that, but you just zeroed in on Shanghai. 48 00:02:40,480 --> 00:02:44,880 Speaker 3: Are we looking for a jump condition change from Beijing 49 00:02:45,160 --> 00:02:47,919 Speaker 3: to say, okay, we didn't mean it, let's get back 50 00:02:47,960 --> 00:02:51,800 Speaker 3: to business or is this some slow motion incremental soap opera. 51 00:02:52,480 --> 00:02:56,000 Speaker 6: In fact, the jump condition I'm actually seeing is that 52 00:02:56,280 --> 00:02:57,680 Speaker 6: for you know, a lot of people say, you know, 53 00:02:57,800 --> 00:03:01,000 Speaker 6: the secondary cities are not doing so well, but that's okay, 54 00:03:01,040 --> 00:03:05,320 Speaker 6: because the primary cities of Shanghai, Shenzan, Guangzhou, those are 55 00:03:05,400 --> 00:03:09,400 Speaker 6: the places where businesses are really booming and they're doing fine. 56 00:03:09,800 --> 00:03:12,360 Speaker 6: And that's what the official storyline has been, and every 57 00:03:12,360 --> 00:03:16,640 Speaker 6: official meeting you see that the Chinese authorities upheld have 58 00:03:16,880 --> 00:03:19,639 Speaker 6: peddled that story. But the story on the ground, when 59 00:03:19,680 --> 00:03:23,040 Speaker 6: you look at the shopping malls in these elite places, 60 00:03:23,280 --> 00:03:25,600 Speaker 6: they're not doing well. I have some friends who are 61 00:03:25,600 --> 00:03:27,840 Speaker 6: trying to sell property in some of the prime places 62 00:03:27,880 --> 00:03:31,399 Speaker 6: in Beijing, and they're starting off with bids that are 63 00:03:31,440 --> 00:03:34,720 Speaker 6: thirty forty percent off their asking price, and even there 64 00:03:34,840 --> 00:03:39,320 Speaker 6: they're not getting much activity. So the situation on the 65 00:03:39,320 --> 00:03:41,880 Speaker 6: ground with the people who live there and the people 66 00:03:41,880 --> 00:03:44,600 Speaker 6: who are doing businesses there, is really quite different from 67 00:03:44,640 --> 00:03:45,360 Speaker 6: the official picture. 68 00:03:45,920 --> 00:03:48,000 Speaker 5: And Bill, I think what a lot of our listeners 69 00:03:48,040 --> 00:03:51,640 Speaker 5: and viewers like myself are probably confused about. We see 70 00:03:51,640 --> 00:03:54,360 Speaker 5: a very hard line coming from China. It seems like 71 00:03:54,520 --> 00:03:58,119 Speaker 5: by and large as it relates to their view of capitalism. 72 00:03:58,120 --> 00:03:59,720 Speaker 5: I just think about, you know, kind of how they 73 00:03:59,720 --> 00:04:02,000 Speaker 5: dealt with the technology industry for years ago in Alibob 74 00:04:02,040 --> 00:04:04,160 Speaker 5: and all those companies. Yet at the same time we 75 00:04:04,200 --> 00:04:09,440 Speaker 5: see leading US executives Tim Cook, the fella from Tesla, 76 00:04:09,520 --> 00:04:13,040 Speaker 5: going over to China and trying to maintain and develop 77 00:04:13,120 --> 00:04:16,280 Speaker 5: ties there. Where does a government really want to take 78 00:04:16,320 --> 00:04:16,680 Speaker 5: this thing? 79 00:04:18,160 --> 00:04:21,680 Speaker 6: President she has a campaign to what he's trying to 80 00:04:21,680 --> 00:04:25,000 Speaker 6: put in what he calls new productive forces into the 81 00:04:25,080 --> 00:04:28,760 Speaker 6: Chinese economy that will push them into the bleeding edge, 82 00:04:28,839 --> 00:04:33,000 Speaker 6: the leading edge of technology. The most important industries will 83 00:04:33,000 --> 00:04:35,320 Speaker 6: be the high tech industries, the high value added industry, 84 00:04:35,400 --> 00:04:38,960 Speaker 6: so that the declining population in China will be having 85 00:04:39,360 --> 00:04:44,480 Speaker 6: occupations and jobs that are in high salary occupations. What 86 00:04:44,520 --> 00:04:47,200 Speaker 6: we are seeing in reality is that they really can't 87 00:04:47,240 --> 00:04:50,840 Speaker 6: get this stuff in place without first reviving the Chinese economy. 88 00:04:51,080 --> 00:04:55,120 Speaker 6: You can't get that kind of technological change and productivity 89 00:04:55,200 --> 00:04:58,400 Speaker 6: change with an economy that is in the doldrooms and 90 00:04:58,400 --> 00:05:01,440 Speaker 6: with GDP growth. Much as the official numbers are, you know, 91 00:05:01,760 --> 00:05:05,320 Speaker 6: five plus, the actual numbers are closer to three plus. 92 00:05:06,360 --> 00:05:10,440 Speaker 5: So should we expect or should I guess, you know, 93 00:05:10,680 --> 00:05:14,440 Speaker 5: American and Western CEOs expect any meaningful change in the 94 00:05:14,480 --> 00:05:18,520 Speaker 5: next several years here, because again it seems like the 95 00:05:18,640 --> 00:05:20,960 Speaker 5: US and the West is we're in a pretty strong 96 00:05:21,000 --> 00:05:24,080 Speaker 5: position visa in China just in terms of negotiating leverage. 97 00:05:24,800 --> 00:05:27,880 Speaker 6: That's a very important point, Paul. The current businesses that 98 00:05:27,960 --> 00:05:31,400 Speaker 6: are there in China are realizing that President She's new 99 00:05:31,520 --> 00:05:33,640 Speaker 6: China is going to involve a lot more in the 100 00:05:33,640 --> 00:05:36,960 Speaker 6: way of state enterprises being in the in the driver's seat. 101 00:05:37,440 --> 00:05:41,080 Speaker 6: The smaller private sector companies are asked to merge with 102 00:05:41,680 --> 00:05:44,880 Speaker 6: their counterparts on the official side. So everyone that's doing 103 00:05:44,920 --> 00:05:47,680 Speaker 6: business there knows they have to curry the favor of 104 00:05:47,720 --> 00:05:50,960 Speaker 6: local authorities because that's where their new contracts are coming from. 105 00:05:51,440 --> 00:05:53,920 Speaker 6: And I think you're seeing Tim Cook go over there 106 00:05:54,120 --> 00:05:56,839 Speaker 6: opening up a new branch, a new Apple store, probably 107 00:05:56,839 --> 00:05:59,719 Speaker 6: one of the biggest in Asia in Shanghai. But the 108 00:05:59,760 --> 00:06:03,120 Speaker 6: same time that same shopping mall is seeing sorece closed 109 00:06:03,200 --> 00:06:06,839 Speaker 6: left and right, you know, as private businesses are starving 110 00:06:06,880 --> 00:06:10,760 Speaker 6: for business. So I think the new mantra for businesses 111 00:06:10,800 --> 00:06:13,599 Speaker 6: going into China would be, you know, help the state 112 00:06:13,640 --> 00:06:17,560 Speaker 6: down enterprises become more efficient, do whatever managerial magic you 113 00:06:17,680 --> 00:06:20,880 Speaker 6: can to help to have them come up in productivity. 114 00:06:21,400 --> 00:06:26,760 Speaker 2: But is sanctity of contracts still valid versus joint venture 115 00:06:26,960 --> 00:06:28,760 Speaker 2: tragedies of recent decades. 116 00:06:30,120 --> 00:06:33,159 Speaker 6: As as you know, Tom, the sanctity of contracts in 117 00:06:33,240 --> 00:06:36,919 Speaker 6: China depends upon who you know in the judicial system 118 00:06:37,360 --> 00:06:40,480 Speaker 6: and whether or not you are currying the favor and 119 00:06:40,720 --> 00:06:44,039 Speaker 6: your policies are in line with those of the Communist 120 00:06:44,040 --> 00:06:46,680 Speaker 6: Party vision of where China is going. If you're helping 121 00:06:46,760 --> 00:06:51,640 Speaker 6: Chinese companies promote their activities, your contracts will be enforced 122 00:06:51,800 --> 00:06:55,000 Speaker 6: full force. If you are hitting off on your own 123 00:06:55,360 --> 00:06:57,520 Speaker 6: and trying to carve out a share of the Chinese 124 00:06:57,520 --> 00:07:01,720 Speaker 6: market for yourself without involving the Chinese state owned enterprises, 125 00:07:02,080 --> 00:07:05,040 Speaker 6: the art contracts are likely not going to be held if. 126 00:07:04,880 --> 00:07:11,040 Speaker 2: They're finally to a more manufacturing value add higher wage 127 00:07:11,520 --> 00:07:15,920 Speaker 2: industrial proposition. Where is the old China now is it 128 00:07:15,960 --> 00:07:19,560 Speaker 2: in Vietnam. Is there a certain geography that is doing 129 00:07:19,800 --> 00:07:21,720 Speaker 2: the old China? 130 00:07:21,920 --> 00:07:23,800 Speaker 6: You know, the President she wants a lot of the 131 00:07:23,840 --> 00:07:26,360 Speaker 6: low value AED industries to move out of China because 132 00:07:26,360 --> 00:07:30,720 Speaker 6: he wants to highlight those high tech, high value added 133 00:07:31,400 --> 00:07:34,320 Speaker 6: sectors in China and develop them further. But one of 134 00:07:34,360 --> 00:07:36,760 Speaker 6: the things that we all know is that as in 135 00:07:36,840 --> 00:07:38,800 Speaker 6: China right now, is that inflection point where they have 136 00:07:38,880 --> 00:07:41,160 Speaker 6: to promote the service sector. And you know, to promote 137 00:07:41,200 --> 00:07:42,920 Speaker 6: the service sector, that means you have to have strong 138 00:07:43,000 --> 00:07:45,720 Speaker 6: domestic demand. You're not going to get that when people's 139 00:07:45,760 --> 00:07:48,960 Speaker 6: wages are uncertain, the property values have dropped in seventy 140 00:07:48,960 --> 00:07:52,320 Speaker 6: percent of their household wealth is in danger of crashing 141 00:07:52,320 --> 00:07:55,320 Speaker 6: and burning. So I think the policies that have to 142 00:07:55,360 --> 00:07:56,880 Speaker 6: be put in place by the Chinese government would be 143 00:07:57,080 --> 00:07:59,680 Speaker 6: to put in a safety net to assure people that 144 00:08:00,000 --> 00:08:03,120 Speaker 6: their retirement is secure, so that they can actually start 145 00:08:03,160 --> 00:08:06,120 Speaker 6: to spend more freely with the security of knowing that 146 00:08:06,160 --> 00:08:08,920 Speaker 6: they have income in their old age. That's one of 147 00:08:08,960 --> 00:08:12,200 Speaker 6: the first principles I think that would be helpful for 148 00:08:12,240 --> 00:08:15,840 Speaker 6: the Chinese economy and to revive economy in the direction 149 00:08:15,880 --> 00:08:17,080 Speaker 6: that President She wants to go. 150 00:08:17,760 --> 00:08:18,000 Speaker 3: Bill. 151 00:08:18,040 --> 00:08:20,640 Speaker 5: If someone comes up to you at your renowned conference 152 00:08:20,680 --> 00:08:24,800 Speaker 5: and says, Bill, I think China is uninvestable, what's your response. 153 00:08:26,200 --> 00:08:29,800 Speaker 6: I think that that's a naive view. I've often heard 154 00:08:29,840 --> 00:08:32,760 Speaker 6: that said. You can invest in China and invest in 155 00:08:32,800 --> 00:08:36,199 Speaker 6: China very successfully if you follow the new principles of 156 00:08:36,240 --> 00:08:39,440 Speaker 6: investing in China, which is promote the state, promote the 157 00:08:39,480 --> 00:08:44,120 Speaker 6: state goals of improving the Chinese economy. If you have 158 00:08:44,240 --> 00:08:46,920 Speaker 6: that in mind and find projects like that, you're really 159 00:08:46,920 --> 00:08:49,839 Speaker 6: in good shape. Now. One of the problems of actually 160 00:08:49,880 --> 00:08:53,440 Speaker 6: implementing that in real life is due diligence. The Chinese 161 00:08:53,480 --> 00:08:57,040 Speaker 6: have made it incredibly difficult for investors to find out 162 00:08:57,240 --> 00:09:00,520 Speaker 6: what are the viable investment projects that they can invest 163 00:09:00,559 --> 00:09:05,040 Speaker 6: in without being told to put money in particular places. 164 00:09:05,080 --> 00:09:07,840 Speaker 6: And that's the tension, is that the private investor just 165 00:09:07,960 --> 00:09:12,959 Speaker 6: can't find their own means to verify things without relying 166 00:09:13,000 --> 00:09:14,160 Speaker 6: on state information. 167 00:09:14,440 --> 00:09:16,559 Speaker 2: Billy, I got ten more questions. We're not going to 168 00:09:16,600 --> 00:09:18,559 Speaker 2: give to them. We're out of time. William Lee, thank 169 00:09:18,600 --> 00:09:32,120 Speaker 2: you so much. Always brilliant on the Pacific Round, and 170 00:09:32,200 --> 00:09:35,360 Speaker 2: now it's a popular acclaim. She was on with us 171 00:09:35,679 --> 00:09:39,599 Speaker 2: a number of weeks ago and a huge response to Victoria, 172 00:09:39,880 --> 00:09:44,160 Speaker 2: Bill's chief investment strategists at Bannery and Capital Chicago, and 173 00:09:44,200 --> 00:09:47,680 Speaker 2: in your note, the note's great, Victoria, but there's only 174 00:09:47,720 --> 00:09:54,040 Speaker 2: one thing to talk about, shortage of bitdog atf Madness 175 00:09:54,760 --> 00:09:58,200 Speaker 2: And am I right, Victoria? You're framing out up forty 176 00:09:58,240 --> 00:10:01,880 Speaker 2: thousand dollars on bitdog to one hundred thousand plus? 177 00:10:01,960 --> 00:10:04,559 Speaker 3: Is that true? Absolutely? 178 00:10:05,200 --> 00:10:07,760 Speaker 7: If we're thinking about the factors that are coming into play, 179 00:10:08,000 --> 00:10:11,439 Speaker 7: and thanks again for having me on. We're seeing a 180 00:10:11,480 --> 00:10:14,320 Speaker 7: lot of kind of continued traction that's coming into the 181 00:10:14,320 --> 00:10:17,800 Speaker 7: market because of the upcoming having that's happening in April, 182 00:10:18,320 --> 00:10:22,160 Speaker 7: and we already saw an uptick in bitcoin pricing because 183 00:10:22,160 --> 00:10:24,880 Speaker 7: of the introduction of the spot etf earlier this year, 184 00:10:25,280 --> 00:10:29,280 Speaker 7: which drove the price close to almost like over seventy thousand. 185 00:10:29,400 --> 00:10:33,400 Speaker 7: So we can honestly expect, with the decrease of supply 186 00:10:33,559 --> 00:10:36,760 Speaker 7: that's now coming into the market for bitcoin on top 187 00:10:36,840 --> 00:10:41,280 Speaker 7: of that very out out paced demand that we can 188 00:10:41,320 --> 00:10:44,000 Speaker 7: actually expect over one hundred k and pricing by end 189 00:10:44,000 --> 00:10:44,360 Speaker 7: of year. 190 00:10:44,760 --> 00:10:46,720 Speaker 5: Wow, end of year, and Tom, we're kind of on 191 00:10:46,720 --> 00:10:49,040 Speaker 5: our way there. Today we're up four percent. Bitcoin is 192 00:10:49,320 --> 00:10:52,840 Speaker 5: seventy two. So back up to those rare. 193 00:10:52,679 --> 00:10:56,520 Speaker 3: Fights of silence from Michael McLoone exactly. I mean he's 194 00:10:56,600 --> 00:10:57,080 Speaker 3: down there on. 195 00:10:57,160 --> 00:11:01,640 Speaker 2: The deck at the at the the Bethany whatever it is, 196 00:11:01,640 --> 00:11:02,400 Speaker 2: the hotel. 197 00:11:02,360 --> 00:11:04,160 Speaker 5: Maybe the Delano. He might break the Delano. 198 00:11:04,480 --> 00:11:06,880 Speaker 3: Yeah, you know, you know he's like huge yep. 199 00:11:07,000 --> 00:11:10,199 Speaker 5: So, I mean he's been calling it so Victoria aside 200 00:11:10,200 --> 00:11:13,040 Speaker 5: from bitcoin because I still can't get Jamie Diamond to 201 00:11:13,600 --> 00:11:15,800 Speaker 5: you know, give it the stamp of approval though he 202 00:11:16,160 --> 00:11:19,640 Speaker 5: is all into AI. So on the AI front, which 203 00:11:19,679 --> 00:11:22,400 Speaker 5: is a subject to Jamie Diamonds or partly subject in 204 00:11:22,480 --> 00:11:26,000 Speaker 5: Jamie Diamond's letter today. In video, is that still the 205 00:11:26,080 --> 00:11:30,120 Speaker 5: way for investors to play AI or there other ways? 206 00:11:30,240 --> 00:11:31,280 Speaker 5: How do you guys think about that? 207 00:11:32,920 --> 00:11:34,880 Speaker 7: I think that in video is definitely the way to 208 00:11:34,880 --> 00:11:38,320 Speaker 7: pay pay through AI. We're thinking about what has to 209 00:11:38,360 --> 00:11:41,679 Speaker 7: go into these AI language learning models. There's also need 210 00:11:41,800 --> 00:11:46,200 Speaker 7: there's high computing and graphic processing that's necessary in order 211 00:11:46,240 --> 00:11:50,200 Speaker 7: to create these large processing models, but also to pivot 212 00:11:50,240 --> 00:11:53,320 Speaker 7: back to bitcoin, it's also a necessity when it comes 213 00:11:53,360 --> 00:11:56,959 Speaker 7: to bitcoin mining. So we're going to see a huge 214 00:11:57,040 --> 00:12:00,760 Speaker 7: uptick in the demand for in via GPU ships as well, 215 00:12:00,920 --> 00:12:02,880 Speaker 7: which are top of the line when it comes to mining, 216 00:12:03,080 --> 00:12:04,680 Speaker 7: but also top of the line when it comes to 217 00:12:04,720 --> 00:12:09,480 Speaker 7: graphic processing and also informational processing, which is absolutely critical 218 00:12:09,480 --> 00:12:12,439 Speaker 7: when it comes to AI. So Nvidia is the number 219 00:12:12,480 --> 00:12:14,920 Speaker 7: one player, and I'm so sorry for everyone who keeps 220 00:12:15,000 --> 00:12:17,560 Speaker 7: trying to short it. I can't find the reason for 221 00:12:17,600 --> 00:12:18,240 Speaker 7: it to go down. 222 00:12:18,280 --> 00:12:22,840 Speaker 2: Okay, yeah, I want to ask another intelligent question here 223 00:12:22,840 --> 00:12:23,880 Speaker 2: because I can't do it. 224 00:12:24,200 --> 00:12:25,800 Speaker 3: But you go to the heart of the matter. 225 00:12:26,200 --> 00:12:31,320 Speaker 2: Victoria Bills is saying, forget about the value trap, forget 226 00:12:31,360 --> 00:12:35,640 Speaker 2: about straw hats and winter climb on board. The winners 227 00:12:36,000 --> 00:12:38,800 Speaker 2: discuss that strategy. 228 00:12:38,840 --> 00:12:41,320 Speaker 7: It's as simple as what we're seeing in the future, 229 00:12:41,440 --> 00:12:44,440 Speaker 7: the future of Web three going into Web four, the 230 00:12:44,600 --> 00:12:48,640 Speaker 7: necessity around AI in terms of increased productivity, and how 231 00:12:48,679 --> 00:12:51,800 Speaker 7: that plays into again, all of the large processes that 232 00:12:51,840 --> 00:12:54,520 Speaker 7: are coming into the market these days are more of 233 00:12:54,559 --> 00:12:59,080 Speaker 7: the innovative technologies. What is required to process AI, what 234 00:12:59,200 --> 00:13:02,960 Speaker 7: is required to actually create these systems is large computing 235 00:13:03,000 --> 00:13:06,319 Speaker 7: process is large sets of computing process and data. So 236 00:13:06,520 --> 00:13:08,560 Speaker 7: when we think about the players that are ahead of 237 00:13:08,600 --> 00:13:11,920 Speaker 7: the game and the players that are actually benefiting from 238 00:13:12,360 --> 00:13:15,480 Speaker 7: getting into this space very early on. That's how Nvidio 239 00:13:15,559 --> 00:13:18,160 Speaker 7: was able to make themselves a player. And then even 240 00:13:18,240 --> 00:13:23,880 Speaker 7: with super process like like as super small computer, super 241 00:13:23,880 --> 00:13:26,400 Speaker 7: smart computer. Sorry I was blinking out the name super smart. 242 00:13:26,240 --> 00:13:28,640 Speaker 3: Like super small computers. 243 00:13:27,559 --> 00:13:32,840 Speaker 7: That's super small computer as well. They have been a 244 00:13:32,920 --> 00:13:35,080 Speaker 7: leaders when it leader in the game when it comes 245 00:13:35,120 --> 00:13:38,439 Speaker 7: to just that data information processing. Now some of the 246 00:13:38,559 --> 00:13:40,880 Speaker 7: drawbacks to that, of course, is what's going to happen 247 00:13:40,920 --> 00:13:44,080 Speaker 7: when it comes to climate change these like it's a 248 00:13:44,120 --> 00:13:48,079 Speaker 7: lot of energy that it takes to again process all of. 249 00:13:48,040 --> 00:13:51,040 Speaker 2: This very well, Paul, I'm looking at in video seventy 250 00:13:51,040 --> 00:13:54,320 Speaker 2: three PE multiple one year forward. It's a thirty six 251 00:13:54,400 --> 00:13:57,760 Speaker 2: p multiple. It's as simple as is, Folks, I've never seen. 252 00:13:57,559 --> 00:13:59,680 Speaker 5: That I've never seen ever seen, and that's tom you know, 253 00:13:59,679 --> 00:14:01,719 Speaker 5: a cup and earning its way into its multiple, I 254 00:14:01,720 --> 00:14:03,360 Speaker 5: guess is kind of what we're seeing there. 255 00:14:03,559 --> 00:14:04,360 Speaker 2: So a victory. 256 00:14:04,360 --> 00:14:06,800 Speaker 5: In addition to the technology names, I know you guys 257 00:14:06,840 --> 00:14:10,320 Speaker 5: also have a healthcare bent Novartis. Why is that on 258 00:14:10,360 --> 00:14:10,800 Speaker 5: your list? 259 00:14:12,000 --> 00:14:14,600 Speaker 7: Well, Nevarda's has an amazing track record when it comes 260 00:14:14,600 --> 00:14:16,800 Speaker 7: to what the work that they're doing in clinical trials. 261 00:14:17,640 --> 00:14:20,200 Speaker 7: I'm also very bullish on kind of a lot of 262 00:14:20,240 --> 00:14:23,000 Speaker 7: the information that we're seeing nowadays with people being very 263 00:14:23,040 --> 00:14:26,560 Speaker 7: conscient just around their health, whether that's weight loss or 264 00:14:26,600 --> 00:14:30,640 Speaker 7: weight gain, planning, trying to make certain like people are 265 00:14:30,680 --> 00:14:33,160 Speaker 7: looking forward to trying to stay as young as possible, 266 00:14:33,240 --> 00:14:35,480 Speaker 7: and so a lot of the healthcare names that we're 267 00:14:35,520 --> 00:14:37,880 Speaker 7: looking at are companies that are in those sorts, in 268 00:14:37,960 --> 00:14:40,560 Speaker 7: those sorts of fields, So Nevarda's being one of them 269 00:14:40,600 --> 00:14:41,000 Speaker 7: as well. 270 00:14:42,240 --> 00:14:45,320 Speaker 2: Tell me about this burgeoning sector, Michael Barr listeners, this 271 00:14:45,400 --> 00:14:48,680 Speaker 2: is important, Victoria Bills. Please tell me about the new 272 00:14:48,800 --> 00:14:53,080 Speaker 2: sector keeping us as young as possible. How many stocks 273 00:14:53,080 --> 00:14:55,680 Speaker 2: are Oh yeah, please, Okay. 274 00:14:56,240 --> 00:14:58,480 Speaker 7: I mean there's there's a couple of names that are 275 00:14:58,480 --> 00:15:00,560 Speaker 7: going into it, but a lot, it's more a lot 276 00:15:00,560 --> 00:15:05,280 Speaker 7: of research that's going into trying to figure out generatively 277 00:15:05,360 --> 00:15:09,200 Speaker 7: how we can continue to keep people looking younger, healthier, 278 00:15:09,560 --> 00:15:13,640 Speaker 7: whether that's again through diet and exercising, through consumer based 279 00:15:13,640 --> 00:15:16,080 Speaker 7: product companies, or again, like if we're looking on the 280 00:15:16,080 --> 00:15:19,920 Speaker 7: healthcare side, so companies that are looking to basically, like 281 00:15:21,200 --> 00:15:22,960 Speaker 7: for lack of a better word, figure out how to 282 00:15:23,000 --> 00:15:25,760 Speaker 7: recreate a human. So a lot of. 283 00:15:27,760 --> 00:15:32,400 Speaker 2: Victoria, thank you for working on recreating a human. Victoria 284 00:15:32,440 --> 00:15:34,320 Speaker 2: bills in Chicago, Cutt and shiseled. 285 00:15:34,360 --> 00:15:42,880 Speaker 3: Thank you. This is a joy because he's beyond qualified. 286 00:15:43,080 --> 00:15:49,480 Speaker 2: Right now, everyone is pontificating about private equity, private credit. 287 00:15:50,040 --> 00:15:53,960 Speaker 2: Someone with some actual experience in the risks involved, Hugh 288 00:15:54,040 --> 00:15:57,640 Speaker 2: von steinis joins us. He's at Oliver Wyman right now, 289 00:15:57,680 --> 00:16:01,720 Speaker 2: but with a deserve or zummy United Kingdom of excellence, 290 00:16:01,720 --> 00:16:08,120 Speaker 2: including assisting Oxford University in the management of their money. 291 00:16:08,560 --> 00:16:10,600 Speaker 2: Hugh von steinas, I'm going to cut to the chase 292 00:16:10,640 --> 00:16:13,920 Speaker 2: with your lovely photo of Mark Rowan of Apollo and 293 00:16:14,040 --> 00:16:19,280 Speaker 2: your note private credit will trigger a new squeeze. That's 294 00:16:19,560 --> 00:16:22,600 Speaker 2: powerful language of you von Steina's what do you mean? 295 00:16:24,160 --> 00:16:24,320 Speaker 4: Well? 296 00:16:24,320 --> 00:16:24,520 Speaker 3: Thanks? 297 00:16:24,560 --> 00:16:26,840 Speaker 4: Something on again, Tom, Look, I think there's a couple 298 00:16:26,840 --> 00:16:29,080 Speaker 4: of squeezes. I mean the first and the most obvious 299 00:16:29,120 --> 00:16:32,520 Speaker 4: one is for the traditional long only firms. More and 300 00:16:32,600 --> 00:16:35,560 Speaker 4: more money is going to private credit. This expectation it 301 00:16:35,640 --> 00:16:38,080 Speaker 4: might double over the next four or five years, and 302 00:16:38,120 --> 00:16:41,520 Speaker 4: therefore more and private credit is either the number one 303 00:16:41,640 --> 00:16:44,600 Speaker 4: or number two most popular asset to allocate to from 304 00:16:44,680 --> 00:16:46,920 Speaker 4: high net worth or from institution investors. So I think 305 00:16:46,920 --> 00:16:49,400 Speaker 4: it's putting a lot of squeeze on traditional fin management. 306 00:16:49,480 --> 00:16:49,960 Speaker 3: Companies. 307 00:16:50,360 --> 00:16:52,320 Speaker 4: I think second those as when I look at it, 308 00:16:52,440 --> 00:16:54,400 Speaker 4: I think there's also a squeeze on the banks. And 309 00:16:54,440 --> 00:16:56,520 Speaker 4: I think one of the most interesting things to meet 310 00:16:56,840 --> 00:16:59,200 Speaker 4: Tom and Paul is how the banks have come out 311 00:16:59,240 --> 00:17:02,600 Speaker 4: of the gates really hard this year. Particularly the really 312 00:17:02,640 --> 00:17:06,400 Speaker 4: big banks are reopening their wallets to lend into leveraged buyouts. 313 00:17:06,560 --> 00:17:09,280 Speaker 4: And so you remember last year, you know, the president 314 00:17:09,320 --> 00:17:11,920 Speaker 4: of Blackstone, John Gray, said that it was a golden moment. 315 00:17:12,400 --> 00:17:14,760 Speaker 4: What's really interesting to me. I mean, eighty six percent 316 00:17:14,800 --> 00:17:17,160 Speaker 4: of all LBOs were financed by private credit last year, 317 00:17:17,400 --> 00:17:19,760 Speaker 4: up from in the fifties and sixties four years earlier. 318 00:17:20,280 --> 00:17:23,680 Speaker 4: This year, though, twenty seven companies have gone to banks 319 00:17:23,920 --> 00:17:26,160 Speaker 4: rather than private credit, issuing about eleven and a half 320 00:17:26,160 --> 00:17:29,560 Speaker 4: billion dollars. And that's taking back about half that what 321 00:17:29,800 --> 00:17:33,119 Speaker 4: private credit squee got got in twenty twenty three. So 322 00:17:33,400 --> 00:17:35,600 Speaker 4: there's a really big squeeze going on between the banks 323 00:17:35,600 --> 00:17:36,760 Speaker 4: and private credit players too. 324 00:17:37,520 --> 00:17:39,120 Speaker 5: Yeah, that's kind of where I wanted to go here. 325 00:17:39,160 --> 00:17:41,000 Speaker 5: I started out my career at the Chase Man Hannen 326 00:17:41,000 --> 00:17:43,240 Speaker 5: Bank and a media group, and we lent money to 327 00:17:43,320 --> 00:17:46,520 Speaker 5: companies that forget about having revenue. All they had were airwaves. 328 00:17:46,600 --> 00:17:48,880 Speaker 5: Think solular telephone companies back in the day, we'd lend 329 00:17:48,880 --> 00:17:51,800 Speaker 5: them senior credit. We would never let this little brait 330 00:17:51,800 --> 00:17:55,560 Speaker 5: of business go to any competitor, including this private credit thing. 331 00:17:56,119 --> 00:17:58,680 Speaker 5: So what of the banks. Why have the banks been 332 00:17:58,760 --> 00:18:01,439 Speaker 5: so I don't know, not willing to let this business go, 333 00:18:01,520 --> 00:18:05,320 Speaker 5: but to allow private credit to really flourish. 334 00:18:05,359 --> 00:18:07,560 Speaker 4: Well, Look, I think, as ever with banks, it's a 335 00:18:07,600 --> 00:18:10,800 Speaker 4: mixture of things. Number one though is regulation. The regulators 336 00:18:10,800 --> 00:18:14,320 Speaker 4: didn't want the largest banks to take the riskiest pieces 337 00:18:14,320 --> 00:18:17,440 Speaker 4: of debt, and whether it's in Europe or in the US, 338 00:18:17,480 --> 00:18:20,200 Speaker 4: there's been a real focus on the quantity of leverage 339 00:18:20,200 --> 00:18:22,720 Speaker 4: finance being done by the big banks, and that's why 340 00:18:22,720 --> 00:18:24,719 Speaker 4: you've seen the shift. It was probably in the sort 341 00:18:24,760 --> 00:18:27,359 Speaker 4: of fifty to sixty percent before the pandemic, up to 342 00:18:27,400 --> 00:18:30,040 Speaker 4: as much as eighty six percent last year. But what 343 00:18:30,040 --> 00:18:33,400 Speaker 4: we're seeing is for investment grade companies, the largest banks 344 00:18:33,400 --> 00:18:35,800 Speaker 4: are now back in business. For the non investment grade 345 00:18:35,840 --> 00:18:38,440 Speaker 4: that's still very much going towards private credit. But it's 346 00:18:38,720 --> 00:18:40,919 Speaker 4: so it's the regulators, but last year as well, it's 347 00:18:40,920 --> 00:18:43,280 Speaker 4: about risk aversion, you know, on the back of SDB 348 00:18:43,400 --> 00:18:46,080 Speaker 4: and credits. Suee failing. The banks just drew in their 349 00:18:46,440 --> 00:18:49,199 Speaker 4: risk appetites, and coming into this year, they realize if 350 00:18:49,200 --> 00:18:52,120 Speaker 4: they're not their printing business this year, they're not gonna 351 00:18:52,119 --> 00:18:53,480 Speaker 4: be there in years to come either, because the private 352 00:18:53,480 --> 00:18:54,680 Speaker 4: credit player will squeeze them out. 353 00:18:54,800 --> 00:18:55,960 Speaker 3: You over to banking. 354 00:18:56,440 --> 00:19:00,320 Speaker 2: Can you say, are clear for European banks lack of 355 00:19:00,400 --> 00:19:04,320 Speaker 2: shock they're doing better for the first time in ages. 356 00:19:04,800 --> 00:19:07,960 Speaker 2: Can you von Steinas say it's a better place in 357 00:19:08,080 --> 00:19:11,359 Speaker 2: twenty twenty six for European big banks. 358 00:19:12,960 --> 00:19:16,480 Speaker 4: Look, I think it's a much better environment. Look, the 359 00:19:16,520 --> 00:19:20,600 Speaker 4: really big problem for Europe was moving into negative interest rates. 360 00:19:20,880 --> 00:19:23,240 Speaker 4: This is an Alice in Wonderland move that you've spoken 361 00:19:23,280 --> 00:19:26,399 Speaker 4: about million times before, which crush the earnings of the banks. 362 00:19:26,800 --> 00:19:29,200 Speaker 4: And as they've come out to sort of more normalized 363 00:19:29,240 --> 00:19:33,040 Speaker 4: levels of interest rates, the banks are making okayish returns again. 364 00:19:33,200 --> 00:19:35,080 Speaker 4: Now it's still below where we'd like it to be. 365 00:19:35,600 --> 00:19:38,119 Speaker 4: But I can see a scenario where European banks get 366 00:19:38,160 --> 00:19:41,120 Speaker 4: to a eleven to twelve maybe you know, to a 367 00:19:41,160 --> 00:19:44,080 Speaker 4: return on equity environment. But they're still trading at zero 368 00:19:44,119 --> 00:19:47,200 Speaker 4: point six point six five times tangible book, almost half 369 00:19:47,240 --> 00:19:49,160 Speaker 4: where some of the US firms are. So I think 370 00:19:49,160 --> 00:19:52,520 Speaker 4: there's the interest rate environments there. Look, there are these 371 00:19:53,080 --> 00:19:56,359 Speaker 4: there are some nerves because the European regulators did stop 372 00:19:56,400 --> 00:19:58,680 Speaker 4: the banks paying dividends back in the pandemic. But I 373 00:19:58,680 --> 00:20:01,640 Speaker 4: think these were exceptional circums dances, and we're now seeing 374 00:20:01,640 --> 00:20:05,160 Speaker 4: a situation where banks are buying back shares, share counts 375 00:20:05,160 --> 00:20:07,480 Speaker 4: are coming down two to three percent a year much, 376 00:20:07,760 --> 00:20:10,200 Speaker 4: you know, getting towards the US levels. So I think 377 00:20:10,200 --> 00:20:12,720 Speaker 4: this is a really interesting environment. And as we spoke 378 00:20:12,720 --> 00:20:15,159 Speaker 4: about last time, there was something like close to a 379 00:20:15,200 --> 00:20:18,960 Speaker 4: twelve percent dividend plus buy back yield on the European 380 00:20:19,000 --> 00:20:21,840 Speaker 4: Banking Index, So we're in there's quite a bit of 381 00:20:22,280 --> 00:20:24,600 Speaker 4: a risk shield in terms of that that those that 382 00:20:24,640 --> 00:20:25,840 Speaker 4: can cash pay out. 383 00:20:26,200 --> 00:20:29,240 Speaker 5: Hugh, can you explain to our listeners and viewers what 384 00:20:29,560 --> 00:20:33,080 Speaker 5: basil end game is and what it means for the banks. 385 00:20:34,640 --> 00:20:38,240 Speaker 4: I wish, I wish I could, Paul. Look, so there 386 00:20:38,240 --> 00:20:41,639 Speaker 4: are so there are bars or the internationally greed rules, 387 00:20:41,880 --> 00:20:44,480 Speaker 4: and the US was meant to implement the last stage 388 00:20:44,520 --> 00:20:48,080 Speaker 4: of it, which was the bars lend game. However it 389 00:20:48,119 --> 00:20:51,000 Speaker 4: got conflated with a whole bunch of other stuff. I mean, 390 00:20:51,200 --> 00:20:54,439 Speaker 4: you know, there are lessons to be learned from the 391 00:20:54,640 --> 00:20:58,040 Speaker 4: failure RESCB and the other regional banks, one of which 392 00:20:58,240 --> 00:21:02,400 Speaker 4: was the deregulation and de supervision of many of these 393 00:21:02,520 --> 00:21:05,080 Speaker 4: regional banks. And so that's nothing to do with Bar's 394 00:21:05,240 --> 00:21:07,560 Speaker 4: endgame at all, but got lumped into it. We could 395 00:21:07,560 --> 00:21:10,000 Speaker 4: probably also say that we're an environment where there's a 396 00:21:10,000 --> 00:21:15,280 Speaker 4: good piece of work recently showing that uninsured deposits are 397 00:21:15,359 --> 00:21:18,199 Speaker 4: roughly double today than they were twenty years ago as 398 00:21:18,200 --> 00:21:20,680 Speaker 4: a potential system. So how do you then think about 399 00:21:20,720 --> 00:21:25,119 Speaker 4: the risks of liquidity these large ticket uninsured depositors running 400 00:21:25,480 --> 00:21:28,280 Speaker 4: at digital speeds. So of course rules need to be 401 00:21:28,320 --> 00:21:30,480 Speaker 4: refined for that. But I think the bars lend game 402 00:21:30,680 --> 00:21:32,520 Speaker 4: ended up mixing too many pieces, and that's why it's 403 00:21:32,560 --> 00:21:32,919 Speaker 4: gone back to. 404 00:21:32,880 --> 00:21:33,480 Speaker 3: The drawing board. 405 00:21:33,600 --> 00:21:36,040 Speaker 2: You've earned seen us with us, with Oliver Wyman, of course, 406 00:21:36,080 --> 00:21:39,320 Speaker 2: his service to the United Kingdom, with a Bank of England. 407 00:21:39,440 --> 00:21:42,680 Speaker 2: He'll von Steinas the diamond letter is out, You'll read 408 00:21:42,720 --> 00:21:45,919 Speaker 2: every word. I'll read every word, and it goes to 409 00:21:45,960 --> 00:21:48,040 Speaker 2: the heart of the matter. In a new debate on 410 00:21:48,160 --> 00:21:51,320 Speaker 2: Global on New York Wall Street, I should say, which 411 00:21:51,359 --> 00:21:55,359 Speaker 2: is should the chairman and CEO tasks be two individuals 412 00:21:55,680 --> 00:21:56,760 Speaker 2: where do you stand. 413 00:21:58,280 --> 00:22:00,520 Speaker 4: Gosh, well, look so maybe I mean even though I 414 00:22:00,560 --> 00:22:02,040 Speaker 4: was spent a lot of time on Wall Street, obviously 415 00:22:02,080 --> 00:22:05,119 Speaker 4: I'm based in Europe and where on the whole the 416 00:22:05,240 --> 00:22:08,520 Speaker 4: chair and the CEO regime is split. That's been working 417 00:22:08,600 --> 00:22:11,120 Speaker 4: quite well from a good number of companies, and even 418 00:22:11,119 --> 00:22:13,040 Speaker 4: my old firm woman standing at the moment, are splitting 419 00:22:13,119 --> 00:22:15,200 Speaker 4: that for a period of time. I think it could 420 00:22:15,240 --> 00:22:17,720 Speaker 4: be helpful. What I can see is where the chair 421 00:22:17,880 --> 00:22:21,480 Speaker 4: is providing wise counsel to the CEO and helping them 422 00:22:21,480 --> 00:22:24,040 Speaker 4: think through the complexities of life. It can be very helpful. 423 00:22:24,560 --> 00:22:26,960 Speaker 4: But I know that every market has these difference is 424 00:22:27,000 --> 00:22:28,720 Speaker 4: I think it's useful, but not mission Crystal. 425 00:22:29,240 --> 00:22:31,679 Speaker 2: Yeah, we're here. I got time for one more question. 426 00:22:31,840 --> 00:22:36,399 Speaker 2: It's very important. We were having a huge response on YouTube. 427 00:22:36,440 --> 00:22:37,800 Speaker 3: Are live chat. 428 00:22:37,560 --> 00:22:41,560 Speaker 2: Hugh von Steina's worldwide that von steinas is so cool. 429 00:22:41,680 --> 00:22:47,160 Speaker 2: He knows the status small grand piano. Oh is totally 430 00:22:47,359 --> 00:22:51,119 Speaker 2: second rate to the classy up. No, I mean are 431 00:22:51,160 --> 00:22:54,240 Speaker 2: you rocking the Beckstein the Boson door over the Shimmel? 432 00:22:54,520 --> 00:22:56,160 Speaker 3: Which operater you guys rocking? 433 00:22:56,320 --> 00:22:57,600 Speaker 7: You do? 434 00:22:57,640 --> 00:22:58,000 Speaker 3: You know what? 435 00:22:58,000 --> 00:23:00,639 Speaker 4: I'm afraid this one's actually a Yamaha and the reason 436 00:23:00,760 --> 00:23:03,720 Speaker 4: is if you want to play really quick trolls, you 437 00:23:03,800 --> 00:23:05,840 Speaker 4: need a modern piano because the old ones don't do 438 00:23:05,960 --> 00:23:08,960 Speaker 4: really fast music. So me, but for other family members 439 00:23:08,960 --> 00:23:09,800 Speaker 4: who play better than I do. 440 00:23:10,080 --> 00:23:11,800 Speaker 3: That's why we got it the Yamaha. 441 00:23:11,880 --> 00:23:14,000 Speaker 2: I mean it's got a different keyboard. I mean the 442 00:23:14,080 --> 00:23:15,280 Speaker 2: Bechstein's Old's cool. 443 00:23:15,560 --> 00:23:19,160 Speaker 4: Yeah, we looked like my aunt was a constant pianist, 444 00:23:19,160 --> 00:23:21,359 Speaker 4: but I'm afraid that she's a little bit better than me. 445 00:23:21,640 --> 00:23:22,760 Speaker 3: Okay, you haven't seen this. 446 00:23:22,840 --> 00:23:25,359 Speaker 2: With our piano report for the morning, Thank you so 447 00:23:25,520 --> 00:23:36,679 Speaker 2: much with Oliver Wineman as well. Now a look at 448 00:23:36,680 --> 00:23:37,520 Speaker 2: the front pages. 449 00:23:37,640 --> 00:23:39,320 Speaker 5: What's making news around. 450 00:23:38,960 --> 00:23:43,399 Speaker 2: The world, Your daily roundup of today's headlines from major publications, 451 00:23:43,720 --> 00:23:47,800 Speaker 2: Today's headlines, weekend headlines, too, Shoes, Cheating, Bloomberg, Surveillance, and 452 00:23:47,840 --> 00:23:50,879 Speaker 2: our news headlines with Lisa Matteo. It's brunch you by 453 00:23:50,960 --> 00:23:55,440 Speaker 2: Interactive Brokers Bond Marketplace access their vast selection of over 454 00:23:55,520 --> 00:24:00,600 Speaker 2: one million global fixed income securities, no markups or built 455 00:24:00,680 --> 00:24:05,440 Speaker 2: in spreads, with love transparent commissions. Learn more at ibkr 456 00:24:05,520 --> 00:24:10,840 Speaker 2: dot com slash bonds ibkr dot com slash bonds. 457 00:24:10,920 --> 00:24:11,720 Speaker 3: Lisa, what do you have? 458 00:24:11,960 --> 00:24:12,280 Speaker 7: All right? 459 00:24:12,320 --> 00:24:14,239 Speaker 1: We're starting with the eclipse. Now, I remember Paul had 460 00:24:14,280 --> 00:24:17,000 Speaker 1: mentioned Buffalo is like one of those key places where 461 00:24:17,000 --> 00:24:20,400 Speaker 1: you can see it clearly. Well, Bloomberg actually spoke with 462 00:24:20,600 --> 00:24:23,920 Speaker 1: the Buffalo on Niagara, the visit Buffalo Niagara, and they 463 00:24:23,960 --> 00:24:26,040 Speaker 1: said that they're calling it the super Bowl or the 464 00:24:26,160 --> 00:24:29,080 Speaker 1: Tailor Swift Concert of events, like it's going to be 465 00:24:29,119 --> 00:24:32,800 Speaker 1: that big. As many as a million visitors expected to 466 00:24:32,920 --> 00:24:36,480 Speaker 1: go to Buffalo. The bars, they're selling tickets to slar 467 00:24:36,520 --> 00:24:40,680 Speaker 1: eclips viewing parties. You have breweries having parties, releasing eclipse 468 00:24:40,720 --> 00:24:43,760 Speaker 1: themed drafts. Everyone's jumping on board here and speaking of jumping, 469 00:24:43,960 --> 00:24:48,439 Speaker 1: skydive the falls, they're offering adrenaline junkies a totality jump, 470 00:24:48,760 --> 00:24:51,040 Speaker 1: So if you're up for it, you can, I guess, 471 00:24:51,080 --> 00:24:53,560 Speaker 1: grab your glasses and jump off. But I oft nowhere 472 00:24:53,640 --> 00:24:58,680 Speaker 1: and enjoy that Wine Country. But the other thing is traffic, 473 00:24:58,880 --> 00:25:01,600 Speaker 1: so you have the addround North Country. Troopers are telling 474 00:25:01,720 --> 00:25:05,120 Speaker 1: commuters expect traffic jams of as long as twelve hours, 475 00:25:05,560 --> 00:25:08,040 Speaker 1: so it's going to be a little bit crazy. 476 00:25:07,720 --> 00:25:11,040 Speaker 2: Over I studied clouds for there's two groups of people, 477 00:25:11,119 --> 00:25:14,000 Speaker 2: those that have done a total solar eclipse and those 478 00:25:14,000 --> 00:25:20,000 Speaker 2: that have it, and it is completely ancient cosmic. 479 00:25:20,320 --> 00:25:26,080 Speaker 3: My major eclipses in Hawaii ninety one, and it is 480 00:25:26,280 --> 00:25:26,840 Speaker 3: as built. 481 00:25:27,160 --> 00:25:30,000 Speaker 2: All I can say forget about all the touchy feely 482 00:25:30,080 --> 00:25:30,520 Speaker 2: stuff for. 483 00:25:30,480 --> 00:25:33,879 Speaker 3: The astronomy that I lived. It is as built. It 484 00:25:34,000 --> 00:25:34,960 Speaker 3: is spectacular. 485 00:25:35,200 --> 00:25:37,760 Speaker 2: But again, this is up by Buffalo in Rochester. You're 486 00:25:37,800 --> 00:25:41,000 Speaker 2: not going to see the same wallap in Central Park 487 00:25:41,119 --> 00:25:42,200 Speaker 2: or you know. 488 00:25:42,359 --> 00:25:45,800 Speaker 5: Jersey short what else Jersey. 489 00:25:45,920 --> 00:25:48,200 Speaker 1: I got to update my glasses now I think I'm 490 00:25:48,240 --> 00:25:51,040 Speaker 1: too late though. All right, So the Wall Street Journal, 491 00:25:51,400 --> 00:25:54,560 Speaker 1: banks and credit card unions, they are turning to anil 492 00:25:54,640 --> 00:25:57,480 Speaker 1: you know nam image like inst college athletes to attract 493 00:25:57,520 --> 00:25:59,159 Speaker 1: more gen z or so they want to attract the 494 00:25:59,240 --> 00:26:02,720 Speaker 1: younger audience because they say the younger audience actually stick 495 00:26:02,760 --> 00:26:05,920 Speaker 1: around because changing accounts is too difficult. They don't want 496 00:26:05,920 --> 00:26:07,720 Speaker 1: to do it, so once they lock in, they stay. 497 00:26:08,200 --> 00:26:10,520 Speaker 1: That means they can also get them sooner for credit 498 00:26:10,560 --> 00:26:13,160 Speaker 1: cards and loans and things like that. But their athletes 499 00:26:13,200 --> 00:26:16,280 Speaker 1: are saying that it's helping them kind of budget their money, 500 00:26:16,359 --> 00:26:20,200 Speaker 1: learning how to save you have Park Bank and Madison, Wisconsin, 501 00:26:20,280 --> 00:26:23,800 Speaker 1: they actually doubled their Instagram engagement after posting a new 502 00:26:23,840 --> 00:26:27,520 Speaker 1: campaign with several local athletes she was concerting. Yeah, so 503 00:26:27,560 --> 00:26:30,160 Speaker 1: it's starting to pick up athletes making like six figures. 504 00:26:30,200 --> 00:26:32,720 Speaker 1: I mean, you have Caitlin Clark exact, who's bringing in 505 00:26:32,760 --> 00:26:33,880 Speaker 1: some good money from. 506 00:26:33,680 --> 00:26:36,600 Speaker 5: Things like this, and her WNBA rookie contract would be 507 00:26:36,600 --> 00:26:38,359 Speaker 5: like seventy five grand year if she acture does that 508 00:26:38,359 --> 00:26:40,119 Speaker 5: in fifteen minutes now with their endorsements. 509 00:26:40,440 --> 00:26:41,719 Speaker 3: Okay, why is that? 510 00:26:41,880 --> 00:26:45,879 Speaker 2: I mean, I get it in TV, not as some 511 00:26:46,000 --> 00:26:48,480 Speaker 2: NBA player is gonna have somebody in these Celtics. 512 00:26:48,560 --> 00:26:50,720 Speaker 3: Yeah, seventy five grand exactly. 513 00:26:50,800 --> 00:26:53,760 Speaker 5: It's unbelievable rookie contract. And it's similarly because they don't 514 00:26:53,760 --> 00:26:57,040 Speaker 5: have the TV money yet that's going to change. Next time, 515 00:26:57,280 --> 00:26:58,320 Speaker 5: it'll change, It'll change. 516 00:26:58,400 --> 00:27:01,000 Speaker 3: I'll just see, you know, apple m I'm coming into. 517 00:27:00,840 --> 00:27:01,600 Speaker 2: Straighten that up. 518 00:27:03,960 --> 00:27:06,560 Speaker 1: Okay, So Americans, were you at bars party? 519 00:27:06,800 --> 00:27:06,879 Speaker 2: No? 520 00:27:07,040 --> 00:27:07,560 Speaker 3: I missed it. 521 00:27:07,600 --> 00:27:10,280 Speaker 1: I couldn't go. I had another thing and I was 522 00:27:10,320 --> 00:27:11,960 Speaker 1: talking with her wife back and forth. 523 00:27:12,000 --> 00:27:14,840 Speaker 3: I know, I didn't even know Scarlett was there until 524 00:27:17,200 --> 00:27:17,800 Speaker 3: who's here. 525 00:27:19,280 --> 00:27:21,480 Speaker 1: I've always wanted to go to Sylvia's though. That's the 526 00:27:21,520 --> 00:27:23,040 Speaker 1: other reason why Scarlet. 527 00:27:23,240 --> 00:27:24,760 Speaker 3: She loaded up on the catfish. 528 00:27:25,000 --> 00:27:27,159 Speaker 1: Oh catfish, what do you go? 529 00:27:27,480 --> 00:27:27,600 Speaker 7: Oh? 530 00:27:28,080 --> 00:27:31,480 Speaker 1: Now I'm hungry. All right, thanks a lot Americans. You know, 531 00:27:31,560 --> 00:27:34,359 Speaker 1: during the pandemic, everyone bought puppies, right, Well, apparently the 532 00:27:34,400 --> 00:27:37,120 Speaker 1: Better Business Bureau are saying that Americans lost over one 533 00:27:37,200 --> 00:27:42,560 Speaker 1: million dollars last year falling for online puppy adoption scams. 534 00:27:42,760 --> 00:27:44,320 Speaker 1: So a lot of people fell for it. There was 535 00:27:44,359 --> 00:27:47,760 Speaker 1: a North Carolina grandmother said she lost her life savings 536 00:27:47,960 --> 00:27:50,520 Speaker 1: on a Facebook pet scam. She wanted to buy this 537 00:27:50,680 --> 00:27:54,440 Speaker 1: Yorkshire terrier for her grandson. But the FTC says, stick 538 00:27:54,480 --> 00:27:57,120 Speaker 1: with the local shelters. Look out for them when they're 539 00:27:57,119 --> 00:28:01,359 Speaker 1: asking for unusual payment requests. Look out for that. Better Busines. 540 00:28:01,359 --> 00:28:03,680 Speaker 1: If you're saying that about eighty percent of sponsored pet 541 00:28:03,720 --> 00:28:07,000 Speaker 1: advertisments online are possibly fake, so don't fall for it 542 00:28:07,040 --> 00:28:10,040 Speaker 1: a lot, Facebook, Marketplace, Craigslist, don't go there to look 543 00:28:10,040 --> 00:28:10,560 Speaker 1: for puppies. 544 00:28:10,680 --> 00:28:13,720 Speaker 5: I just ignore it. Just click X, go next one. Yeah, 545 00:28:13,720 --> 00:28:14,960 Speaker 5: all right, what else you have for us? 546 00:28:15,200 --> 00:28:17,920 Speaker 1: And finally this new study is showing that work. 547 00:28:18,080 --> 00:28:18,960 Speaker 5: This is what I want to do. 548 00:28:19,160 --> 00:28:23,399 Speaker 1: Yes, combining business with leisure travel. So bleasure that's on 549 00:28:23,440 --> 00:28:25,600 Speaker 1: the rise right now. Yes, that's the new term for it. 550 00:28:26,320 --> 00:28:28,399 Speaker 1: The market was just over three hundred and fifteen billion 551 00:28:28,440 --> 00:28:30,959 Speaker 1: in twenty twenty two, a lot of studies saying can 552 00:28:31,000 --> 00:28:33,840 Speaker 1: reach more than seven hundred and thirty one billion by 553 00:28:33,920 --> 00:28:37,760 Speaker 1: twenty thirty two. Okay, the reason why post pandemic work 554 00:28:37,840 --> 00:28:41,240 Speaker 1: life change, right, So more people are being asked to 555 00:28:41,280 --> 00:28:44,000 Speaker 1: go into the office. So now they have to actually 556 00:28:44,120 --> 00:28:46,000 Speaker 1: use like a lot more vacation day. So they want 557 00:28:46,040 --> 00:28:48,320 Speaker 1: to book it on a little travel deal. 558 00:28:48,480 --> 00:28:50,200 Speaker 5: So coming up, Alex Steele and I were taking our 559 00:28:50,200 --> 00:28:52,960 Speaker 5: Bloomberg Intelligence show on the road. We're going down to Nashville, 560 00:28:52,960 --> 00:28:55,760 Speaker 5: Tennessee for a couple so maybe take a couple of 561 00:28:55,840 --> 00:28:58,840 Speaker 5: personal days, go to the Grand Ole Opry, do all 562 00:28:58,840 --> 00:29:01,640 Speaker 5: that kind of hement. How cool would that be? 563 00:29:02,040 --> 00:29:04,840 Speaker 1: Yeah, but there's a problem about that. 564 00:29:04,880 --> 00:29:06,680 Speaker 3: He's got the road trip to Nashill. 565 00:29:06,920 --> 00:29:09,200 Speaker 2: Yes, it's a perfect time of year, and you and 566 00:29:09,240 --> 00:29:12,640 Speaker 2: I are stuck here in forty degrees. What's going on? 567 00:29:12,760 --> 00:29:15,080 Speaker 5: Everybody wants you know, Alex steels, she's a star, but 568 00:29:15,240 --> 00:29:16,440 Speaker 5: that but that it makes sense. 569 00:29:16,600 --> 00:29:18,160 Speaker 1: I mean, I don't know, but there was a problem. 570 00:29:18,200 --> 00:29:20,080 Speaker 5: You definitely heard that from the hotel operators. They're saying 571 00:29:20,080 --> 00:29:21,040 Speaker 5: they're definitely seeing that. 572 00:29:21,280 --> 00:29:23,840 Speaker 1: The problem though, is that the company. There's a struggle 573 00:29:23,880 --> 00:29:27,320 Speaker 1: for companies to figure out where their legal obligation begins. 574 00:29:26,960 --> 00:29:28,480 Speaker 7: And ends for the employer. 575 00:29:28,680 --> 00:29:31,640 Speaker 1: So you know, you book your travel with the company, 576 00:29:31,800 --> 00:29:35,200 Speaker 1: so are is the company responsible for you? That's around 577 00:29:35,480 --> 00:29:39,160 Speaker 1: your leisure part of it. So a lot of companies 578 00:29:39,200 --> 00:29:40,440 Speaker 1: kind of changing their policies. 579 00:29:40,640 --> 00:29:44,440 Speaker 3: Lisa, thanks you so much. Greatly appreciate a huge, huge. 580 00:29:44,160 --> 00:29:47,280 Speaker 2: Response to our newspaper section. Lisa's in here, I mean 581 00:29:47,360 --> 00:29:48,880 Speaker 2: she's in here at six fifty. 582 00:29:48,560 --> 00:29:51,920 Speaker 3: Eight doing work on Yeah, she's just starting in on it. 583 00:29:51,920 --> 00:29:54,880 Speaker 2: And we do that every day, the newspaper segment yere 584 00:29:54,880 --> 00:29:58,680 Speaker 2: at seven forty five. Thank you Interactive Brokers for helping. 585 00:29:58,400 --> 00:29:59,720 Speaker 3: Us with that. 586 00:30:00,120 --> 00:30:03,320 Speaker 2: This is the Bloomberg Surveillance Podcast, bringing you the best 587 00:30:03,320 --> 00:30:08,120 Speaker 2: in economics, finance, investment, and international relations. You can also 588 00:30:08,200 --> 00:30:12,200 Speaker 2: watch the show live on YouTube. Visit the Bloomberg Podcast 589 00:30:12,360 --> 00:30:16,400 Speaker 2: channel on YouTube to see the show weekday mornings from 590 00:30:16,400 --> 00:30:19,680 Speaker 2: seven to ten am Eastern from our global headquarters in 591 00:30:19,760 --> 00:30:23,480 Speaker 2: New York City. Subscribe to the podcast on Apple, Spotify, 592 00:30:23,800 --> 00:30:27,360 Speaker 2: or anywhere else you listen, and always on Bloomberg Radio, 593 00:30:27,560 --> 00:30:30,760 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app.