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 --> 00:00:46,879 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. Paul went 11 00:00:46,920 --> 00:00:48,879 Speaker 2: to our team and he said, can you get us 12 00:00:48,920 --> 00:00:52,959 Speaker 2: somebody here that's completely holistic on global shipping that can 13 00:00:53,080 --> 00:00:57,680 Speaker 2: understand a Where's mayors Copenhagen, I think Denil I care 14 00:00:57,720 --> 00:01:01,720 Speaker 2: you remember from the Baltic Sea over to Sri Lanka 15 00:01:01,960 --> 00:01:05,759 Speaker 2: through Singapore. All these geographies are around and there has 16 00:01:05,800 --> 00:01:09,840 Speaker 2: to be somebody who's encyclopedic and global shipping and the 17 00:01:09,840 --> 00:01:13,040 Speaker 2: many geographies. John Krtsonis fits the bill. Not only was 18 00:01:13,120 --> 00:01:17,320 Speaker 2: his work at City Group years ago, but with Breakwave Advisors. 19 00:01:17,640 --> 00:01:22,320 Speaker 2: He's a board member with Synergy as well. He's encyclopedic 20 00:01:22,400 --> 00:01:25,200 Speaker 2: on shipping. What are the people doing? John? Thank you 21 00:01:25,240 --> 00:01:26,880 Speaker 2: so much first of all for being with us on 22 00:01:27,000 --> 00:01:30,800 Speaker 2: short notice. What is Maersk doing this morning? What are 23 00:01:30,800 --> 00:01:33,760 Speaker 2: the people in the shipping business do when they have 24 00:01:33,840 --> 00:01:35,640 Speaker 2: a horrific event like this? 25 00:01:37,600 --> 00:01:38,959 Speaker 3: Good morning and thank you for having me. 26 00:01:39,080 --> 00:01:41,560 Speaker 4: Yes, indeed, that's a horrific event, and I think like 27 00:01:42,040 --> 00:01:44,520 Speaker 4: from a shipping perspective, the first thing you have to 28 00:01:44,560 --> 00:01:48,120 Speaker 4: do is obviously find what went wrong? Right, I mean, 29 00:01:48,880 --> 00:01:52,160 Speaker 4: these are state of the r ships, especially this one 30 00:01:52,480 --> 00:01:54,920 Speaker 4: involved in this accident is a brand new ship. He's 31 00:01:55,080 --> 00:01:58,120 Speaker 4: less than ten years old building Korea. These are high 32 00:01:58,240 --> 00:02:04,040 Speaker 4: quality shapes, so very it's a very unlikely phenomenon that 33 00:02:04,120 --> 00:02:08,520 Speaker 4: you get something like that. The other thing is, obviously 34 00:02:08,560 --> 00:02:11,200 Speaker 4: you have to look at the human error. But again, 35 00:02:11,840 --> 00:02:15,800 Speaker 4: when the ships approach ports or tight waterways or areas 36 00:02:15,800 --> 00:02:19,320 Speaker 4: that they don't know very well, you have experienced personnel 37 00:02:19,360 --> 00:02:22,960 Speaker 4: that gets on board from the port, called basically pilots, 38 00:02:23,240 --> 00:02:25,240 Speaker 4: and the other ones we're going to steer the ship 39 00:02:25,960 --> 00:02:28,799 Speaker 4: through the waterway. So there are a lot of elements here. 40 00:02:28,840 --> 00:02:31,880 Speaker 4: One is obviously the human element. The other is the 41 00:02:31,919 --> 00:02:36,120 Speaker 4: mechanical failure, which seems to be the case here. But 42 00:02:36,240 --> 00:02:39,560 Speaker 4: there's also obviously the timing here, because if you happened 43 00:02:39,680 --> 00:02:43,000 Speaker 4: like ten or fifteen minutes later, nothing would have gone wrong. 44 00:02:43,280 --> 00:02:46,960 Speaker 2: Is a process here in the coming quarters in months 45 00:02:47,000 --> 00:02:51,640 Speaker 2: and years, a litigious years in the making process or 46 00:02:51,760 --> 00:02:56,519 Speaker 2: is it covered by insurance and reinsurance and offices in Hamilton, 47 00:02:56,600 --> 00:03:00,200 Speaker 2: Bermuda that I don't know about where there's almost the 48 00:03:00,360 --> 00:03:04,680 Speaker 2: routine how the shipping industry deals with a tragedy like this. 49 00:03:05,680 --> 00:03:07,200 Speaker 3: Well, I don't think it's routine at all. 50 00:03:07,240 --> 00:03:11,440 Speaker 4: I mean usually human laws and hopefully there is none here, 51 00:03:11,480 --> 00:03:16,280 Speaker 4: but human loss, especially outside the ship, is kind that 52 00:03:16,440 --> 00:03:19,280 Speaker 4: is very rare in the maritime industry. You have very 53 00:03:19,280 --> 00:03:23,120 Speaker 4: few incidents globally that you have basically this type of 54 00:03:24,240 --> 00:03:29,400 Speaker 4: an event that will cause basically ordinary citizens to you know. 55 00:03:29,400 --> 00:03:30,280 Speaker 3: To die. 56 00:03:30,520 --> 00:03:33,639 Speaker 4: So I think that's definitely not an ordinary process. It 57 00:03:33,680 --> 00:03:36,880 Speaker 4: will take a very very long time, and it will have. 58 00:03:36,800 --> 00:03:38,200 Speaker 3: A multiple. 59 00:03:39,280 --> 00:03:42,680 Speaker 4: You know, multiple agents organizations involved, especially given that this 60 00:03:43,280 --> 00:03:44,440 Speaker 4: happened in the US. 61 00:03:45,160 --> 00:03:47,080 Speaker 5: John, can you give us a sensis for folks that 62 00:03:47,320 --> 00:03:49,640 Speaker 5: you're not in this business, like at one thirty in 63 00:03:49,640 --> 00:03:53,720 Speaker 5: the morning navigating through a harbor. Is this navigation visual 64 00:03:53,920 --> 00:03:57,760 Speaker 5: Is it by instruments? How is that done? Because it 65 00:03:57,840 --> 00:04:01,160 Speaker 5: seemed like it was significantly you know, off course here. 66 00:04:02,120 --> 00:04:03,600 Speaker 3: Yeah, of course it's not visual. 67 00:04:03,720 --> 00:04:06,440 Speaker 4: Obviously, This are as I said at the beginning, state 68 00:04:06,480 --> 00:04:09,880 Speaker 4: of the art equipment on board and very experienced pilots 69 00:04:09,880 --> 00:04:12,800 Speaker 4: and captains that are going to steer the ship outside, 70 00:04:12,920 --> 00:04:16,680 Speaker 4: you know, to go towards the ocean. So as we 71 00:04:16,800 --> 00:04:19,040 Speaker 4: all saw on the videos, it seems that there's a 72 00:04:19,080 --> 00:04:24,440 Speaker 4: blackout happening just moments before the collision. So again we 73 00:04:24,480 --> 00:04:26,920 Speaker 4: don't know what was happening at that point on the bridge, 74 00:04:27,000 --> 00:04:31,080 Speaker 4: what people were discussing, what was the incident, But it 75 00:04:31,160 --> 00:04:35,920 Speaker 4: seems that a blackout where basically everything stops, the engine stops, 76 00:04:35,920 --> 00:04:38,000 Speaker 4: there is no power, and there is no way you 77 00:04:38,000 --> 00:04:41,600 Speaker 4: can steer the boat the ship away from either. 78 00:04:41,480 --> 00:04:44,520 Speaker 3: Currents or maybe the router get stuck. 79 00:04:44,600 --> 00:04:47,599 Speaker 4: Who knows, but it seems that the mechanical failure is 80 00:04:47,680 --> 00:04:48,960 Speaker 4: most likely scenario here. 81 00:04:49,160 --> 00:04:51,520 Speaker 5: John, Just give us a sense how big Baltimore is 82 00:04:51,600 --> 00:04:54,240 Speaker 5: in the in the global scale of shipping. It seems 83 00:04:54,279 --> 00:04:56,599 Speaker 5: like a busy board. Just give us a sense of 84 00:04:56,600 --> 00:04:57,840 Speaker 5: its relative scale. 85 00:04:58,400 --> 00:05:03,520 Speaker 4: It is very significant in terms of especially of consumer goods, cars, 86 00:05:04,400 --> 00:05:09,520 Speaker 4: stuff that the US imports from abroad is not as 87 00:05:09,560 --> 00:05:12,159 Speaker 4: significant in the commodities business. I mean that to export 88 00:05:12,200 --> 00:05:15,800 Speaker 4: a call from the Baltimore area. But I think like 89 00:05:16,360 --> 00:05:20,080 Speaker 4: probably what's going to be affected most is like deliveries 90 00:05:20,120 --> 00:05:22,840 Speaker 4: of new cars, for example, or consumer goods. But again, 91 00:05:22,880 --> 00:05:25,200 Speaker 4: I mean there is a lot of other areas obviously 92 00:05:25,279 --> 00:05:29,040 Speaker 4: north the New York Harbord all the way down to Georgia, 93 00:05:29,200 --> 00:05:32,360 Speaker 4: Savannah and so on, so that you have alternative destinations. 94 00:05:33,360 --> 00:05:35,920 Speaker 4: But obviously that's going to take a while for the 95 00:05:36,000 --> 00:05:40,320 Speaker 4: situation to resolve and this thing to begin operating normally again. 96 00:05:40,440 --> 00:05:44,160 Speaker 4: So definitely the delays will cause delays in deliveries of 97 00:05:44,200 --> 00:05:44,960 Speaker 4: goods if. 98 00:05:44,800 --> 00:05:47,760 Speaker 2: You're joining US now worldwide and across this nation. As 99 00:05:47,800 --> 00:05:51,440 Speaker 2: we look at a horrific bridge accident in Baltimore. John 100 00:05:51,640 --> 00:05:56,200 Speaker 2: Katsunas joins US now managing partner Breakaway Advisors, has worked 101 00:05:56,200 --> 00:05:58,640 Speaker 2: with Energy, has worked with City Group over the years, 102 00:05:58,680 --> 00:06:03,640 Speaker 2: just truly cyclopedic on the linkage of global shipping in 103 00:06:03,720 --> 00:06:08,200 Speaker 2: the equity and helysis. John, I think a question that 104 00:06:08,279 --> 00:06:11,040 Speaker 2: a lot of Americans have today that needs to be reviewed. 105 00:06:11,600 --> 00:06:15,120 Speaker 2: It seems like everybody in America is involved in shipping. 106 00:06:15,240 --> 00:06:18,000 Speaker 2: Mariska is over in the Baltic Sea. You and your 107 00:06:18,040 --> 00:06:21,039 Speaker 2: board membership with Centergy. They're out of Athens, Greece. Okay, 108 00:06:21,040 --> 00:06:26,600 Speaker 2: I get that, breakwaves his own beast. Why aren't Americans involved? 109 00:06:26,720 --> 00:06:32,400 Speaker 2: Why aren't there American ships, US ships, US shipping, US 110 00:06:32,520 --> 00:06:35,400 Speaker 2: ship building. Why is America left out of the discussion? 111 00:06:36,480 --> 00:06:39,760 Speaker 4: Huh, that's that's a very interesting question. And it goes 112 00:06:39,839 --> 00:06:42,280 Speaker 4: back to I think that what everybody knows that it 113 00:06:42,320 --> 00:06:47,479 Speaker 4: is cheaper and more efficient to build it abroad or 114 00:06:47,560 --> 00:06:49,960 Speaker 4: to stop it abroad. I mean, this is something that 115 00:06:50,000 --> 00:06:54,119 Speaker 4: has gone through you know, decades now, the US maritime business, 116 00:06:54,160 --> 00:06:56,680 Speaker 4: if you go back one hundred and hundred years, was thriving. 117 00:06:57,160 --> 00:06:59,599 Speaker 4: But this has changed over the years and right now 118 00:06:59,640 --> 00:07:04,280 Speaker 4: basically Asia and you know, some European countries are dominating 119 00:07:04,400 --> 00:07:08,599 Speaker 4: the global shipping space. You know, it has to do 120 00:07:08,640 --> 00:07:10,560 Speaker 4: with cost. It has to do with the cost of 121 00:07:10,600 --> 00:07:12,160 Speaker 4: building a ship. I mean, you can build a ship 122 00:07:12,160 --> 00:07:14,280 Speaker 4: in the US, but it's gonna cost you three times 123 00:07:14,320 --> 00:07:18,160 Speaker 4: more because of like the protectionism that the shipping industry 124 00:07:18,200 --> 00:07:19,240 Speaker 4: is enjoying the US. 125 00:07:19,720 --> 00:07:22,960 Speaker 3: So you know, that's that's the main reason for. 126 00:07:23,000 --> 00:07:26,480 Speaker 2: US just thirty seconds left, John, totally unfair question. But 127 00:07:26,560 --> 00:07:28,880 Speaker 2: you're I mean, you're an act former exa analyst at 128 00:07:28,880 --> 00:07:31,400 Speaker 2: City Group. It was used to it. John, When does 129 00:07:31,440 --> 00:07:34,080 Speaker 2: the Baltimore Harbor open up again? And you're just guests 130 00:07:34,080 --> 00:07:37,480 Speaker 2: here in the moments of this tragedy, when would you 131 00:07:37,560 --> 00:07:41,720 Speaker 2: see free sailing down the river towards the Chesapeake Bay again? 132 00:07:44,240 --> 00:07:46,280 Speaker 3: I would say not this year. If I was taken, 133 00:07:46,800 --> 00:07:47,720 Speaker 3: I would take a while. 134 00:07:47,840 --> 00:07:50,559 Speaker 2: Yes here, John, thank you so much on short notice. 135 00:07:50,560 --> 00:07:54,000 Speaker 2: Thanks to our team, Eric Mulane, everybody forgetting just such 136 00:07:54,000 --> 00:07:58,360 Speaker 2: an authority. John carsonis with with Breakwave Advisors here with 137 00:07:58,440 --> 00:08:12,760 Speaker 2: some real pro perspective there. I'm this tragedy joining us 138 00:08:12,800 --> 00:08:17,400 Speaker 2: in the Peterson Institute. Adam Posen here on the state, Adam, 139 00:08:17,440 --> 00:08:20,120 Speaker 2: I love the beginning of the interview with Robert Armstrong 140 00:08:20,840 --> 00:08:23,200 Speaker 2: and you say something that's on the edge of Robert 141 00:08:23,240 --> 00:08:28,880 Speaker 2: Taylor out of Chicago, Richard Taylor, excuse me, and that 142 00:08:28,960 --> 00:08:33,400 Speaker 2: you say you underestimated the resiliency of the people of 143 00:08:33,440 --> 00:08:38,840 Speaker 2: the American and global economy. Discuss how you fold a character, 144 00:08:39,120 --> 00:08:42,760 Speaker 2: a culture, a fabric of people into economics. 145 00:08:43,880 --> 00:08:46,360 Speaker 6: Thank you Tom for reading and having me back. It's 146 00:08:46,400 --> 00:08:48,959 Speaker 6: great to be with you on this, and I'm grateful 147 00:08:48,960 --> 00:08:52,680 Speaker 6: of Robert and the Ft for taking me through all that. 148 00:08:53,760 --> 00:08:58,000 Speaker 6: I think what we have to think about is going 149 00:08:58,040 --> 00:09:03,000 Speaker 6: into the pandemic. There was reason for fear. We didn't 150 00:09:03,040 --> 00:09:05,320 Speaker 6: know what was going to happen, and we have in 151 00:09:05,400 --> 00:09:10,360 Speaker 6: the US, in particular this enormous spike in unemployment, and rightly, 152 00:09:10,600 --> 00:09:13,720 Speaker 6: the FED and first the Trump and then the Biden 153 00:09:13,720 --> 00:09:18,200 Speaker 6: administration started providing some social benefits, some healthcare, all things 154 00:09:18,200 --> 00:09:22,200 Speaker 6: I supported. But what was amazing and became evident within 155 00:09:22,240 --> 00:09:27,480 Speaker 6: the first few months was that people adapted. They set 156 00:09:27,559 --> 00:09:31,880 Speaker 6: up new businesses, they moved to new jobs, they arranged care. 157 00:09:32,400 --> 00:09:34,600 Speaker 6: That doesn't mean we should leave them to that. It's 158 00:09:35,000 --> 00:09:39,840 Speaker 6: better that we didn't. But we as economists, and particularly 159 00:09:40,080 --> 00:09:42,680 Speaker 6: people who are on the progressive side, where I sort 160 00:09:42,720 --> 00:09:46,880 Speaker 6: of am. You know, we understandably worry a lot about 161 00:09:46,920 --> 00:09:51,240 Speaker 6: people buffeted by large shocks that they have no fault 162 00:09:51,320 --> 00:09:54,559 Speaker 6: in and they can't control. But what I think COVID 163 00:09:54,600 --> 00:09:59,000 Speaker 6: showed us is people's ability to adapt to these shocks 164 00:09:59,559 --> 00:10:02,560 Speaker 6: is much much bigger than we worried about, and that 165 00:10:02,640 --> 00:10:06,640 Speaker 6: leads into all kinds of positive though non intended labor 166 00:10:06,679 --> 00:10:10,000 Speaker 6: market changes in the US that I think came out 167 00:10:10,040 --> 00:10:11,079 Speaker 6: of this process. 168 00:10:11,480 --> 00:10:13,880 Speaker 5: One of the things, Adam, I think folks are concerned 169 00:10:13,920 --> 00:10:17,040 Speaker 5: about is the economic divide in this country may have 170 00:10:17,080 --> 00:10:22,120 Speaker 5: been even exacerbated from even prior levels by this pandemic. 171 00:10:22,640 --> 00:10:25,040 Speaker 5: Just simply, you know, it could be as simple as 172 00:10:25,120 --> 00:10:27,240 Speaker 5: some people can afford to work from home, some jobs 173 00:10:27,240 --> 00:10:29,880 Speaker 5: you can't do that. How big of a concern is 174 00:10:29,880 --> 00:10:30,240 Speaker 5: that for you? 175 00:10:31,400 --> 00:10:34,480 Speaker 6: I mean, Paul, you're absolutely right, and I mean it 176 00:10:34,600 --> 00:10:37,680 Speaker 6: doesn't get much more basic and important than what you 177 00:10:37,800 --> 00:10:40,760 Speaker 6: said that people who have different levels of income, different 178 00:10:40,840 --> 00:10:46,240 Speaker 6: levels well, particularly in the US, have different vulnerabilities. Nonetheless, 179 00:10:47,160 --> 00:10:50,559 Speaker 6: it's more about, let's call it, the health gradient than 180 00:10:50,600 --> 00:10:54,199 Speaker 6: the economic gradient. Over the last few years, so what 181 00:10:54,240 --> 00:10:57,360 Speaker 6: we've seen is people who didn't have good healthcare, people 182 00:10:57,360 --> 00:11:02,440 Speaker 6: who had pre existing conditions, which is associated with socioeconomic status, 183 00:11:02,920 --> 00:11:06,839 Speaker 6: people who had less access to medicine, and people unfortunately, 184 00:11:06,920 --> 00:11:10,080 Speaker 6: who were less educated and more willing to believe lies 185 00:11:10,160 --> 00:11:14,400 Speaker 6: and fears about vaccinations. They had much worse health outcomes, 186 00:11:14,559 --> 00:11:18,040 Speaker 6: much higher mortality and morbidity, as they say. But on 187 00:11:18,080 --> 00:11:21,080 Speaker 6: the economics, what we've seen for the last few years 188 00:11:21,400 --> 00:11:24,880 Speaker 6: is we've actually seen a closing of the income inequality. 189 00:11:24,920 --> 00:11:28,640 Speaker 6: We've seen much more growth in real income for the 190 00:11:28,720 --> 00:11:32,400 Speaker 6: lower end of the income distribution than for the higher end. 191 00:11:32,559 --> 00:11:35,000 Speaker 6: And again I don't think I certainly didn't. I don't 192 00:11:35,040 --> 00:11:37,360 Speaker 6: think anybody else was expecting that going in. 193 00:11:38,120 --> 00:11:41,439 Speaker 2: When you look at adamire running out of time here 194 00:11:41,440 --> 00:11:43,600 Speaker 2: where the news flow out of Baltimore this morning. I 195 00:11:43,640 --> 00:11:46,559 Speaker 2: want to get you back really soon here on more 196 00:11:46,679 --> 00:11:50,520 Speaker 2: Adam posting economics. But just as a general statement, do 197 00:11:50,559 --> 00:11:53,440 Speaker 2: you buy the new productivity and is it just simply 198 00:11:53,520 --> 00:11:57,760 Speaker 2: total factor productivity the oddities of technology over on the 199 00:11:57,840 --> 00:11:59,280 Speaker 2: right side of the equation. 200 00:12:00,480 --> 00:12:04,120 Speaker 6: Tom, I am reluctantly a productivity bulk. I think it's 201 00:12:04,160 --> 00:12:06,800 Speaker 6: a productivity two step. The first is what we've seen 202 00:12:06,840 --> 00:12:09,360 Speaker 6: for the last year and are seeing still, is this 203 00:12:09,480 --> 00:12:13,839 Speaker 6: labor market transition where millions of lower income workers we're 204 00:12:13,840 --> 00:12:17,040 Speaker 6: more willing to take risks and have more of a 205 00:12:17,080 --> 00:12:19,800 Speaker 6: sense of backstop, and are moving on large numbers to 206 00:12:19,920 --> 00:12:23,080 Speaker 6: bigger employers and becoming more productive. And I think that's 207 00:12:23,120 --> 00:12:25,680 Speaker 6: what we're benefiting from. I think we're at the start 208 00:12:25,920 --> 00:12:30,000 Speaker 6: of a boom created by generative AI. We've had many 209 00:12:30,040 --> 00:12:34,160 Speaker 6: guests I know you've been talking about this way early. Tom. 210 00:12:34,440 --> 00:12:36,120 Speaker 6: We don't know when that's going to hit. We don't 211 00:12:36,160 --> 00:12:38,240 Speaker 6: know how big it's going to hit, but it's pretty 212 00:12:38,240 --> 00:12:39,120 Speaker 6: certain it's coming. 213 00:12:39,679 --> 00:12:41,840 Speaker 2: Adam, thank you so much. Way too short of visit. 214 00:12:41,880 --> 00:12:46,120 Speaker 2: We'll have doctor Poson on again here more than soon. 215 00:12:46,280 --> 00:12:48,160 Speaker 2: It's tough to get him, he's busy, but we'll try 216 00:12:48,200 --> 00:12:51,960 Speaker 2: to get him out here with a news flow today 217 00:12:54,360 --> 00:12:57,640 Speaker 2: in our studios. Now, as someone who knows we rip. 218 00:12:57,600 --> 00:13:00,920 Speaker 7: Up the script regularly, we can do this with Peter Sheer, 219 00:13:01,600 --> 00:13:06,319 Speaker 7: Academy Securities, Bloomberg Newspeter moments ago reporting I'm going to 220 00:13:06,360 --> 00:13:09,360 Speaker 7: read it verbatim because I really have not dived into 221 00:13:09,400 --> 00:13:09,720 Speaker 7: a link. 222 00:13:09,800 --> 00:13:14,360 Speaker 2: They article. Apple iPhone shipments in China fell about thirty 223 00:13:14,360 --> 00:13:18,319 Speaker 2: three percent in February from a year earlier. This according 224 00:13:18,360 --> 00:13:21,480 Speaker 2: to official data. I guess it's part of the China 225 00:13:21,520 --> 00:13:26,439 Speaker 2: mix here, which you are expert on the export import 226 00:13:26,559 --> 00:13:31,160 Speaker 2: of America to China, from China to America. Is it 227 00:13:31,200 --> 00:13:33,600 Speaker 2: anything like we knew or is it a whole new world? 228 00:13:33,640 --> 00:13:34,160 Speaker 2: After all? 229 00:13:34,480 --> 00:13:36,200 Speaker 8: I think it's a very new world, and I think 230 00:13:36,360 --> 00:13:39,400 Speaker 8: people are a little bit dismissive and saying, well, sales right, now, 231 00:13:39,440 --> 00:13:42,160 Speaker 8: for some companies in China are slower because the Chinese 232 00:13:42,200 --> 00:13:44,719 Speaker 8: economy is slowing. Yes, that is true, but I think 233 00:13:44,760 --> 00:13:47,320 Speaker 8: that's far more than that. What we see China doing 234 00:13:47,920 --> 00:13:51,800 Speaker 8: is repressing sales of Western brands in China, whether they're 235 00:13:51,800 --> 00:13:54,880 Speaker 8: telling certain agencies that they can't use the sorts of phones, 236 00:13:55,040 --> 00:13:57,600 Speaker 8: whether they're putting outright bands. So the one thing they're 237 00:13:57,600 --> 00:14:00,160 Speaker 8: trying to do is suppress sales of Western brands in 238 00:14:00,240 --> 00:14:03,320 Speaker 8: China to elevate Chinese sales. And I think they're also 239 00:14:03,360 --> 00:14:06,000 Speaker 8: trying to do that globally. They're pushing and emerging markets. 240 00:14:06,200 --> 00:14:09,160 Speaker 8: They have companies like Shine and Timu who are really 241 00:14:09,200 --> 00:14:13,280 Speaker 8: aggressively competing on price with US brands, And I think 242 00:14:13,320 --> 00:14:15,480 Speaker 8: people are being a little bit too dismissive and saying, oh, 243 00:14:15,520 --> 00:14:17,760 Speaker 8: this is just weakness in China. I think this is 244 00:14:17,760 --> 00:14:20,720 Speaker 8: an attempt by China to replace our brands with their 245 00:14:20,760 --> 00:14:24,000 Speaker 8: brands domestically and pushing globally, which will not be good 246 00:14:24,040 --> 00:14:25,480 Speaker 8: for valuations of US docs. 247 00:14:25,800 --> 00:14:27,760 Speaker 5: From your perspective, I'm looking at your research here. What 248 00:14:27,840 --> 00:14:32,280 Speaker 5: is the difference between made in China versus made by China. 249 00:14:32,360 --> 00:14:36,480 Speaker 8: So traditionally, right, we took western companies took our products, 250 00:14:36,640 --> 00:14:38,880 Speaker 8: made them in China, and then we took and tried 251 00:14:38,880 --> 00:14:41,800 Speaker 8: to sell those products globally, so they were really our products, 252 00:14:42,080 --> 00:14:44,360 Speaker 8: but they happen to be made in China. So to me, 253 00:14:44,480 --> 00:14:48,720 Speaker 8: the difference is China's having difficulty attracting people to manufacture 254 00:14:48,720 --> 00:14:50,840 Speaker 8: in there, so if they're going to do manufacturing, they 255 00:14:50,840 --> 00:14:53,680 Speaker 8: have to manufacture their own brands and sell there. So 256 00:14:53,680 --> 00:14:55,280 Speaker 8: that's why I think it's more of a made by 257 00:14:55,400 --> 00:14:57,720 Speaker 8: China because you're going to start seeing byd much more 258 00:14:57,760 --> 00:15:00,760 Speaker 8: frequently Huawei, these companies you never heard of, whether it's 259 00:15:00,760 --> 00:15:04,080 Speaker 8: through Shine or Timo Timu sorry, And I think that's 260 00:15:04,080 --> 00:15:05,960 Speaker 8: why I'm calling it made by China because they've been 261 00:15:05,960 --> 00:15:08,120 Speaker 8: making all the goods so long time, but it was 262 00:15:08,200 --> 00:15:10,840 Speaker 8: largely them making our goods. I think they're now more 263 00:15:10,920 --> 00:15:13,800 Speaker 8: aggressively trying to develop their own brands sell those, and 264 00:15:13,840 --> 00:15:16,120 Speaker 8: that will lead into market share. It will cut profit 265 00:15:16,200 --> 00:15:17,600 Speaker 8: because they are going to compete on price. 266 00:15:17,960 --> 00:15:20,800 Speaker 5: So you know, I think about these companies, I mean 267 00:15:20,800 --> 00:15:23,120 Speaker 5: tim Cook, I think as we speak is in China, 268 00:15:23,400 --> 00:15:29,119 Speaker 5: we see Western CEOs making that seemingly weekly monthly pilgrimage 269 00:15:29,200 --> 00:15:32,440 Speaker 5: to China, Yet we do in fact, appear to have 270 00:15:32,520 --> 00:15:36,920 Speaker 5: some type of technological cold war between China and the West. 271 00:15:38,040 --> 00:15:38,800 Speaker 9: What does Apple do? 272 00:15:38,920 --> 00:15:40,720 Speaker 5: What does Tesla do? I mean some of these companies 273 00:15:40,760 --> 00:15:42,760 Speaker 5: are really intertwined with China. 274 00:15:42,920 --> 00:15:45,200 Speaker 8: Yeah, and so at Academy Securities, as Tom knows, we've 275 00:15:45,200 --> 00:15:48,320 Speaker 8: got eighteen retired generals and admirals who service our Geopolitical 276 00:15:48,320 --> 00:15:51,640 Speaker 8: Intelligence Group. I would say I'm seeing a disconnect where 277 00:15:51,680 --> 00:15:53,800 Speaker 8: a lot of corporations are still trying to figure out, Okay, 278 00:15:53,960 --> 00:15:55,600 Speaker 8: how do we work with China? How do we sell 279 00:15:55,600 --> 00:15:56,080 Speaker 8: into China? 280 00:15:56,120 --> 00:15:56,240 Speaker 3: Right? 281 00:15:56,240 --> 00:15:59,480 Speaker 8: That's still the brand and everything that we're hearing At 282 00:15:59,480 --> 00:16:02,480 Speaker 8: a national security level, it is all about China. It 283 00:16:02,520 --> 00:16:05,200 Speaker 8: is completely bipartisan, It doesn't matter which party the people 284 00:16:05,280 --> 00:16:09,080 Speaker 8: are in charge of national security. And SISO, which puts 285 00:16:09,080 --> 00:16:13,640 Speaker 8: out a lot of bulletins on cyber warfare and cyber attacks, 286 00:16:13,760 --> 00:16:15,840 Speaker 8: they came out with, you know, really a big warning 287 00:16:15,880 --> 00:16:19,600 Speaker 8: on this typhoon volt which they part clearly label as 288 00:16:19,640 --> 00:16:23,080 Speaker 8: the People Republic of China's Communist Party. Their hackers working 289 00:16:23,080 --> 00:16:26,760 Speaker 8: on their behalf trying to infiltrate US infrastructure. So this 290 00:16:26,840 --> 00:16:28,520 Speaker 8: is not going to get better. This is going to 291 00:16:28,520 --> 00:16:30,680 Speaker 8: get worse. As these you know you see an entity 292 00:16:30,760 --> 00:16:32,720 Speaker 8: like that very willing to public a common and I 293 00:16:32,800 --> 00:16:33,840 Speaker 8: just say state actors. 294 00:16:34,080 --> 00:16:36,400 Speaker 2: So you know, I've never asked this question before. There's 295 00:16:36,440 --> 00:16:39,600 Speaker 2: always a firse what does it mean for Nvidia? And 296 00:16:40,000 --> 00:16:43,600 Speaker 2: I just all of our audiences glued into growth stocks 297 00:16:43,680 --> 00:16:48,320 Speaker 2: quality Lizzie Saunders off on yesterday with Schwab talking about quality. 298 00:16:48,680 --> 00:16:52,040 Speaker 2: Are you saying exit the glorified stocks of the moment? 299 00:16:52,280 --> 00:16:54,520 Speaker 8: You know, I do think some of we may be 300 00:16:54,640 --> 00:16:57,800 Speaker 8: peak AI in this particular cycle where you know, I 301 00:16:57,840 --> 00:17:00,880 Speaker 8: was mentioning earlier that all of a sudden brushes now 302 00:17:00,920 --> 00:17:03,120 Speaker 8: have AI components or something like that. So I think 303 00:17:03,280 --> 00:17:06,040 Speaker 8: everyone's kind of latching onto this. We've got one of 304 00:17:06,080 --> 00:17:08,720 Speaker 8: their generals who's been very good helps advise DC on 305 00:17:09,000 --> 00:17:12,880 Speaker 8: AI in particular, and we see AI developing into four worlds. 306 00:17:13,080 --> 00:17:14,720 Speaker 8: We've got what's going on in the US, which we 307 00:17:14,760 --> 00:17:16,800 Speaker 8: think is very healthy. It's growing, it's going to be 308 00:17:16,840 --> 00:17:18,879 Speaker 8: a big part of our economy. It might be overdone. 309 00:17:19,320 --> 00:17:21,399 Speaker 8: You've got Europe, where I think AI is going to 310 00:17:21,440 --> 00:17:24,600 Speaker 8: stagnate because they have so much data restriction, so Europe's 311 00:17:24,640 --> 00:17:27,280 Speaker 8: not going to be competitive in AI. You've got India, 312 00:17:27,280 --> 00:17:30,280 Speaker 8: which is actually a rising place, and you're seeing places 313 00:17:30,280 --> 00:17:32,800 Speaker 8: like Nvidia investors, so I think that'll be exciting. And 314 00:17:32,920 --> 00:17:34,800 Speaker 8: China is marching to the beat of their own drum. 315 00:17:35,000 --> 00:17:38,560 Speaker 8: They have a very strong AI plan. They're one directional. 316 00:17:38,600 --> 00:17:40,679 Speaker 8: If they get it right, it could be dangerous if 317 00:17:40,680 --> 00:17:42,480 Speaker 8: they get it wrong. We have hope, but that to me, 318 00:17:43,040 --> 00:17:46,639 Speaker 8: there is no work for Nvidia or US companies in 319 00:17:46,720 --> 00:17:48,119 Speaker 8: China that is getting separated. 320 00:17:48,240 --> 00:17:51,600 Speaker 2: Peter, we have major, major breaking news. You can stay 321 00:17:51,640 --> 00:17:53,719 Speaker 2: with us and take this in. I'm sure it'll fold 322 00:17:53,880 --> 00:18:08,600 Speaker 2: into your report this morning. Peter, Chair Academy securitizers. With 323 00:18:08,800 --> 00:18:10,760 Speaker 2: a difficult news flow, We're going to try to make 324 00:18:10,840 --> 00:18:13,840 Speaker 2: light of it, and only Lisa Matteo can do that. 325 00:18:13,960 --> 00:18:16,639 Speaker 2: You look at the front pages around the world. Lisa, 326 00:18:16,680 --> 00:18:19,040 Speaker 2: were you bruised from my beard yesterday? We took a. 327 00:18:19,119 --> 00:18:22,200 Speaker 9: Yes, I got a little mark right here, but I'm okay. 328 00:18:22,480 --> 00:18:23,280 Speaker 9: I recovered yet. 329 00:18:23,359 --> 00:18:24,919 Speaker 2: This is this is you like this. I went to 330 00:18:24,960 --> 00:18:27,879 Speaker 2: the I went to the grower barber shop. This is 331 00:18:28,200 --> 00:18:30,959 Speaker 2: is what I went to. They gave it. It was 332 00:18:31,040 --> 00:18:33,480 Speaker 2: so difficult. They took a razor out with it. So 333 00:18:33,960 --> 00:18:36,080 Speaker 2: it was so difficult. I had to shave twice. But 334 00:18:36,160 --> 00:18:38,520 Speaker 2: thank you to the good people at the Grower of Barbershop. 335 00:18:38,600 --> 00:18:42,760 Speaker 9: Really it was fantastic. Well, by the way the poll, 336 00:18:42,880 --> 00:18:44,080 Speaker 9: a lot of people wanted you to. 337 00:18:44,040 --> 00:18:46,919 Speaker 2: Lose it, so that it was a mixed effort. But 338 00:18:47,480 --> 00:18:50,240 Speaker 2: the tilt is that both that Bill and missus Keane 339 00:18:50,240 --> 00:18:51,359 Speaker 2: wanted me to keep the beard. 340 00:18:51,440 --> 00:18:53,840 Speaker 9: O oay, No, I can't do it. 341 00:18:54,080 --> 00:18:58,560 Speaker 2: You get a call from the grower of Barbershop, shave 342 00:18:58,680 --> 00:19:01,720 Speaker 2: that you're no Matt Miller shave that off. What do 343 00:19:01,760 --> 00:19:02,639 Speaker 2: you got, Lisa? 344 00:19:02,720 --> 00:19:05,880 Speaker 1: All Right, kids in Florida under the age of fourteen, 345 00:19:05,920 --> 00:19:08,359 Speaker 1: they're a little upset. They will no longer be able 346 00:19:08,359 --> 00:19:11,880 Speaker 1: to have a social media this went through. Yeah, Florida 347 00:19:11,920 --> 00:19:14,240 Speaker 1: the first state to do this. It's apps like TikTok 348 00:19:14,280 --> 00:19:17,720 Speaker 1: and Snapchat. Fourteen and fifteen year olds though, they are 349 00:19:17,720 --> 00:19:19,040 Speaker 1: allowed to do it, but they will have to get 350 00:19:19,040 --> 00:19:22,000 Speaker 1: their parents' permission in order to do that. But under fourteen, so. 351 00:19:22,040 --> 00:19:24,240 Speaker 2: Are the Florida police going to go in? 352 00:19:24,520 --> 00:19:24,600 Speaker 3: How? 353 00:19:25,119 --> 00:19:27,399 Speaker 1: This is exactly that is the question. 354 00:19:27,680 --> 00:19:30,960 Speaker 2: How do you just the world tiktoking from? I mean 355 00:19:31,000 --> 00:19:32,200 Speaker 2: that's like Nirvana. 356 00:19:32,320 --> 00:19:35,240 Speaker 1: Yes, so they're gonna have to go back TikTok, Snapchat 357 00:19:35,280 --> 00:19:36,480 Speaker 1: and see how old. 358 00:19:36,480 --> 00:19:39,040 Speaker 9: Some of these kids are who's got it's going. 359 00:19:39,000 --> 00:19:43,560 Speaker 1: To be it's gonna be along the companies TikTok, Snapchat, 360 00:19:43,600 --> 00:19:45,000 Speaker 1: all these companies are gonna have to go back and 361 00:19:45,040 --> 00:19:47,800 Speaker 1: possibly delete some. But the question is if it's going 362 00:19:47,880 --> 00:19:49,720 Speaker 1: to happen. I mean, this is going to face you know, 363 00:19:49,840 --> 00:19:53,040 Speaker 1: backlash and constitutional challenges. 364 00:19:52,560 --> 00:19:53,560 Speaker 9: And and all that. 365 00:19:53,560 --> 00:19:56,359 Speaker 5: That's the realities of the marketplace. You know whatever, the 366 00:19:56,440 --> 00:19:58,000 Speaker 5: parent sounds like a parent. 367 00:19:58,280 --> 00:20:00,600 Speaker 2: You know, some kids down there on group with somebody 368 00:20:00,640 --> 00:20:03,560 Speaker 2: from Bloomberg to see mcgloone, who's you know, they're on 369 00:20:03,640 --> 00:20:06,040 Speaker 2: the porch of the Betsy on South Beach and the 370 00:20:06,119 --> 00:20:09,840 Speaker 2: kids TikTok and from the Betsy and what the police 371 00:20:09,880 --> 00:20:10,440 Speaker 2: show up. 372 00:20:11,160 --> 00:20:14,280 Speaker 1: It's it's gonna be a long road. Let's just put 373 00:20:14,320 --> 00:20:16,920 Speaker 1: it that way. It's the first step. Let's just put 374 00:20:16,920 --> 00:20:19,800 Speaker 1: it that way. The first step. Okay, So we're going 375 00:20:19,840 --> 00:20:22,240 Speaker 1: to the Wall Street Journal. You know how Mark Zuckerberg's known. 376 00:20:22,480 --> 00:20:24,520 Speaker 1: He was known for wearing the hoodies and the shower 377 00:20:24,560 --> 00:20:27,840 Speaker 1: slides and that whole casual kind of look. Well, maybe 378 00:20:27,880 --> 00:20:31,200 Speaker 1: he's doing a little middle aged makeover. It's a new 379 00:20:31,320 --> 00:20:32,560 Speaker 1: Zuckerberg he's wearing. 380 00:20:33,119 --> 00:20:34,879 Speaker 9: He's been seen wearing suits. 381 00:20:34,480 --> 00:20:37,440 Speaker 1: And a shirllink jacket, you know, different cardigans. 382 00:20:37,440 --> 00:20:38,840 Speaker 9: So he's stepping up. 383 00:20:39,359 --> 00:20:41,680 Speaker 1: The hoodies are out, he's stepping up his look. I 384 00:20:41,680 --> 00:20:43,960 Speaker 1: don't know if it's a middle aged thing. But there's 385 00:20:44,000 --> 00:20:46,640 Speaker 1: also you know, scrutiny for the industry, the tech industry. 386 00:20:46,760 --> 00:20:48,760 Speaker 1: Well he's sharpening up the image. 387 00:20:48,880 --> 00:20:51,480 Speaker 5: As according to rich go on the Bloomberg terminal, the 388 00:20:51,480 --> 00:20:53,960 Speaker 5: fourth wealthiest person on the planet one hundred and seventy 389 00:20:53,960 --> 00:20:56,679 Speaker 5: eight and a half billion dollars. So he can afford 390 00:20:56,680 --> 00:20:57,320 Speaker 5: to upgrade. 391 00:20:57,640 --> 00:20:59,399 Speaker 9: He can afford a suit, or you can. 392 00:20:59,280 --> 00:21:03,399 Speaker 2: Get a hoodie from you or Selene or you know. 393 00:21:03,480 --> 00:21:05,159 Speaker 2: I mean, can you imagine. I don't even know what 394 00:21:05,160 --> 00:21:06,480 Speaker 2: they caused, but can you imagine? 395 00:21:06,520 --> 00:21:08,760 Speaker 5: Oh ridiculous and I oh, by the way, in terms 396 00:21:08,760 --> 00:21:12,360 Speaker 5: of the increase year to date in the net worth 397 00:21:12,440 --> 00:21:15,639 Speaker 5: on Richiko, he is number one, up fifty billion dollars 398 00:21:15,640 --> 00:21:16,640 Speaker 5: this year. It's been a good year. 399 00:21:16,640 --> 00:21:18,560 Speaker 2: So I'm not going to mention the mutual fund, it 400 00:21:18,600 --> 00:21:21,600 Speaker 2: doesn't matter. But the number one holding is met a Facebook, 401 00:21:22,200 --> 00:21:24,440 Speaker 2: and it's gone up so much. It's gone from eleven 402 00:21:24,480 --> 00:21:27,399 Speaker 2: percent of the portfolio to fourteen percent of the portfolio. 403 00:21:27,400 --> 00:21:30,600 Speaker 2: It's Lau Paul Navis, this has never happened, Lisa posts 404 00:21:30,680 --> 00:21:33,240 Speaker 2: of my life. I mean it's original. What else do 405 00:21:33,280 --> 00:21:33,439 Speaker 2: you have? 406 00:21:34,080 --> 00:21:36,000 Speaker 1: So, you know, we always talk about how lises in 407 00:21:36,080 --> 00:21:38,840 Speaker 1: the city are really expensive for a lot of retailers. 408 00:21:39,200 --> 00:21:40,880 Speaker 9: Not if you are Kim Kardashian. 409 00:21:41,280 --> 00:21:44,119 Speaker 1: Yes, she's getting a big least discount. She has a 410 00:21:44,160 --> 00:21:46,879 Speaker 1: Skim store coming to New York City. She is leasing 411 00:21:46,880 --> 00:21:49,920 Speaker 1: a twenty thousand square foot space right along Fifth Avenue 412 00:21:49,920 --> 00:21:51,760 Speaker 1: in the heart of New York City for at least 413 00:21:51,800 --> 00:21:54,720 Speaker 1: seventy five percent less than what was paid by the 414 00:21:54,800 --> 00:21:57,600 Speaker 1: last tenant for Sachi. This is from the New York Post, 415 00:21:57,640 --> 00:21:59,720 Speaker 1: That's what they're saying. So if you break it down, 416 00:21:59,760 --> 00:22:02,280 Speaker 1: Skin has paid less than two hundred dollars per square 417 00:22:02,280 --> 00:22:05,960 Speaker 1: foot for the lot, whereas Versace I had about seven 418 00:22:06,040 --> 00:22:08,399 Speaker 1: hundred and seventy dollars per square foot. 419 00:22:08,440 --> 00:22:08,960 Speaker 9: Is for that? 420 00:22:09,040 --> 00:22:11,359 Speaker 2: I mean, seriously, this is the I've noticed this just 421 00:22:11,400 --> 00:22:14,240 Speaker 2: in the last couple of days. Let me make it clear. 422 00:22:14,400 --> 00:22:18,240 Speaker 2: Paris does not have the empty stores in their primary area. 423 00:22:19,160 --> 00:22:23,040 Speaker 2: They have some selected ones, but Paris doesn't look like 424 00:22:23,080 --> 00:22:26,680 Speaker 2: a ghost town, Paul, parts of Midtown look like a 425 00:22:26,680 --> 00:22:27,200 Speaker 2: ghost team. 426 00:22:27,240 --> 00:22:29,560 Speaker 5: Tom this is six forty seven to Fifth Avenue, right 427 00:22:29,640 --> 00:22:32,440 Speaker 5: near East fifty second Street. This is an iconic retail, 428 00:22:32,840 --> 00:22:35,959 Speaker 5: luxury retail address on Fifth Avenue. 429 00:22:36,040 --> 00:22:39,159 Speaker 2: So, but isn't this solution. It's just the lower rents. Yeah, 430 00:22:39,440 --> 00:22:41,440 Speaker 2: I mean I get the taxes go down and all that. 431 00:22:41,520 --> 00:22:43,760 Speaker 2: But basically she got a good deal. 432 00:22:44,040 --> 00:22:45,000 Speaker 9: She got a very good deal. 433 00:22:45,280 --> 00:22:46,600 Speaker 2: Are you done? Is there one more? 434 00:22:46,760 --> 00:22:48,040 Speaker 9: One more? This is breaking. 435 00:22:48,080 --> 00:22:50,720 Speaker 1: Yes, McDonald's bringing Krispy Cream Donuts. 436 00:22:51,160 --> 00:22:52,680 Speaker 9: They are coming to McDonald's. 437 00:22:52,920 --> 00:22:53,080 Speaker 4: Yes. 438 00:22:53,240 --> 00:22:53,399 Speaker 2: Is that? 439 00:22:55,320 --> 00:22:57,280 Speaker 9: Well, you know what they want to get more breakfast people. 440 00:22:57,320 --> 00:22:58,760 Speaker 9: They want to get more of those you know, all 441 00:22:58,840 --> 00:22:59,720 Speaker 9: day snackers. 442 00:23:00,520 --> 00:23:03,919 Speaker 1: Krispy Kreme shares actually up about fourteen percent right now, 443 00:23:03,960 --> 00:23:07,360 Speaker 1: wow on this news. If that gain holds, Krispy Kreme 444 00:23:07,359 --> 00:23:09,320 Speaker 1: will be set for its biggest rise since December of 445 00:23:09,359 --> 00:23:10,160 Speaker 1: twenty twenty one. 446 00:23:10,240 --> 00:23:11,920 Speaker 9: So this is big news for Krispy Kreme. 447 00:23:12,080 --> 00:23:14,320 Speaker 1: McDonald's still a little bit lower with their shares, but 448 00:23:14,720 --> 00:23:16,960 Speaker 1: big news for Krispy Kreme. It could happen by the 449 00:23:17,080 --> 00:23:19,520 Speaker 1: end of the year, nationwide rolled out roll out by 450 00:23:19,560 --> 00:23:21,000 Speaker 1: the end of twenty twenty sex. 451 00:23:21,160 --> 00:23:23,440 Speaker 2: I girl like you, I'm sure has her faith. It's 452 00:23:23,480 --> 00:23:26,280 Speaker 2: not Dunkin Donuts. It's not Krispy Kreme. Is there is 453 00:23:26,320 --> 00:23:28,399 Speaker 2: there like a local donut that you think is? 454 00:23:28,600 --> 00:23:31,399 Speaker 1: Oh, Duck Donuts. That's another one donuts. Yes, that's a 455 00:23:31,440 --> 00:23:32,520 Speaker 1: big in Jersey. 456 00:23:32,600 --> 00:23:35,520 Speaker 9: Yes, they make them right there. You could watch it. 457 00:23:35,880 --> 00:23:39,359 Speaker 2: I'm forever Dunkin Donuts. They took away my favorite. But 458 00:23:39,520 --> 00:23:41,160 Speaker 2: you know it's it's not Krispy Kreme. 459 00:23:41,240 --> 00:23:42,720 Speaker 9: Well, Chrispy, there will be three of them. 460 00:23:42,720 --> 00:23:45,160 Speaker 1: You have the original glaze chocolate ice with the sprinkles 461 00:23:45,160 --> 00:23:47,280 Speaker 1: and the chocolate ice cream filled all there. 462 00:23:47,359 --> 00:23:48,840 Speaker 2: They're going to be there, Ken, what do you think. 463 00:23:48,920 --> 00:23:51,720 Speaker 2: Let's go to our global technical director, Ken. I'll tell 464 00:23:51,760 --> 00:23:55,440 Speaker 2: you Ken, what do you think? Chispy Kreamer, Dunkin Donuts? 465 00:23:56,040 --> 00:23:59,240 Speaker 5: No, oh Krispy, that was definitive. 466 00:23:59,320 --> 00:24:02,040 Speaker 2: Yeah, Evan, he's the baker. Thank you so much. Lisa 467 00:24:02,080 --> 00:24:04,960 Speaker 2: Mantello had a tough day. A little lightness there with 468 00:24:05,920 --> 00:24:10,679 Speaker 2: our news report. This is the Bloomberg Surveillance Podcast, bringing 469 00:24:10,720 --> 00:24:15,160 Speaker 2: you the best in economics, finance, investment, and international relations. 470 00:24:15,400 --> 00:24:18,760 Speaker 2: You can also watch the show live on YouTube. Visit 471 00:24:18,760 --> 00:24:22,919 Speaker 2: the Bloomberg Podcast channel on YouTube to see the show 472 00:24:23,160 --> 00:24:26,199 Speaker 2: weekday mornings from seven to ten am Eastern from our 473 00:24:26,240 --> 00:24:30,040 Speaker 2: global headquarters in New York City. 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