1 00:00:00,040 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,800 --> 00:00:17,880 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:21,960 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,320 --> 00:00:25,640 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:28,480 Speaker 1: us live on YouTube and Technology. 6 00:00:28,640 --> 00:00:31,800 Speaker 2: I've Ben find stuff joins us with Tigris this morning. 7 00:00:32,320 --> 00:00:36,199 Speaker 2: He survived Boston University Finance and accounting, one of the 8 00:00:36,240 --> 00:00:40,040 Speaker 2: great grinds of college academics. Ivan, I'm going to cut 9 00:00:40,080 --> 00:00:43,800 Speaker 2: to the chase. You've got a very very constructive note 10 00:00:43,840 --> 00:00:48,360 Speaker 2: on a quote classic shakeout of crowded AI trades. Do 11 00:00:48,440 --> 00:00:52,559 Speaker 2: you load the boat on Microsoft? What's the character of 12 00:00:52,640 --> 00:00:54,960 Speaker 2: your enthusiasm to acquire shares? 13 00:00:56,480 --> 00:00:59,760 Speaker 3: Well, first of all, I think this negative view of 14 00:00:59,800 --> 00:01:02,840 Speaker 3: this software stocks is just way overdone. Even Jensen Long 15 00:01:02,920 --> 00:01:06,440 Speaker 3: has said that software drives the functionality of hardware. 16 00:01:07,000 --> 00:01:09,119 Speaker 2: But look, it's still. 17 00:01:08,800 --> 00:01:12,200 Speaker 3: AI is a powerful investment theme, and we're going to 18 00:01:12,200 --> 00:01:14,319 Speaker 3: see things get to have themselves like we saw this 19 00:01:14,440 --> 00:01:17,320 Speaker 3: run up in arm, run up in Micron, run up 20 00:01:17,319 --> 00:01:21,119 Speaker 3: in SanDisk. But yet this is a very powerful theme 21 00:01:21,280 --> 00:01:24,120 Speaker 3: that I think has still long to run, and the 22 00:01:24,160 --> 00:01:28,120 Speaker 3: next phase is going to be the evolution of smart 23 00:01:28,160 --> 00:01:32,560 Speaker 3: devices that just have an AI operating system, and instead 24 00:01:32,560 --> 00:01:36,759 Speaker 3: of on your phone using different apps to do different functions, 25 00:01:36,840 --> 00:01:41,080 Speaker 3: you're going to have an overall AI interactive operating system 26 00:01:41,440 --> 00:01:44,440 Speaker 3: that then will drive agents to use different apps to 27 00:01:44,480 --> 00:01:48,400 Speaker 3: accomplish what you want. Like for example, if you're interested in, 28 00:01:48,760 --> 00:01:51,760 Speaker 3: you know, you want to eat Italian food, where's the 29 00:01:51,800 --> 00:01:54,160 Speaker 3: best place to go to where I am. It'll give 30 00:01:54,160 --> 00:01:56,560 Speaker 3: you some suggestions and all you have to do is say, 31 00:01:56,720 --> 00:01:58,840 Speaker 3: all right, book me a table at seven point thirty 32 00:01:58,880 --> 00:02:01,920 Speaker 3: for four people at this restaurant, and it will do 33 00:02:01,960 --> 00:02:04,720 Speaker 3: that rather than you having to go to Rezi or 34 00:02:04,760 --> 00:02:08,919 Speaker 3: to one of the other apps to both interaction. 35 00:02:09,280 --> 00:02:10,800 Speaker 2: And this is what qualcomm. 36 00:02:10,840 --> 00:02:14,280 Speaker 3: In fact, I'm going to be attending quill Common investerday today, 37 00:02:14,720 --> 00:02:20,480 Speaker 3: but is using their processors, data centers, and most important, 38 00:02:20,760 --> 00:02:23,040 Speaker 3: the power of this is computing at the edge. 39 00:02:23,200 --> 00:02:26,760 Speaker 2: Okay, now, yeah, but hold on, Paul, help me there? 40 00:02:27,080 --> 00:02:29,760 Speaker 2: Can AI get me a table at rows? 41 00:02:30,000 --> 00:02:31,799 Speaker 4: I don't think there? 42 00:02:32,400 --> 00:02:35,760 Speaker 3: I know, yes, he I doesn't have that much juice 43 00:02:35,760 --> 00:02:36,840 Speaker 3: at least right now. 44 00:02:37,639 --> 00:02:41,120 Speaker 4: Ivan frame mount kind of your conversations with your clients 45 00:02:41,280 --> 00:02:44,959 Speaker 4: about software broadly defined, because again we've had a sell 46 00:02:45,000 --> 00:02:48,040 Speaker 4: off in this sector, particularly for the SaaS names that 47 00:02:48,120 --> 00:02:49,919 Speaker 4: a lot of people did not see coming. And it's 48 00:02:49,960 --> 00:02:52,200 Speaker 4: been such a strong, strong sector to be in for 49 00:02:52,280 --> 00:02:54,920 Speaker 4: decades because of the recurring revenue and a free cash flow. 50 00:02:55,160 --> 00:02:58,200 Speaker 4: What's your view of software broadly defined these days. 51 00:02:58,800 --> 00:03:01,480 Speaker 3: I think there's a lot of opportunity in the database 52 00:03:01,560 --> 00:03:05,840 Speaker 3: software companies like Mango dB and like Monday dot Com. 53 00:03:06,320 --> 00:03:10,639 Speaker 3: I think the software the infrastructure providers like Oracle, as 54 00:03:10,680 --> 00:03:16,480 Speaker 3: well as the process of providers like Nvidia and memory. Look, 55 00:03:16,600 --> 00:03:19,680 Speaker 3: there's a tremendous shortage of memory because of the huge 56 00:03:19,680 --> 00:03:22,799 Speaker 3: demand to build out these data centers, and memory prices 57 00:03:22,840 --> 00:03:26,760 Speaker 3: have tripled and quadrupled over the past year, and that's 58 00:03:26,800 --> 00:03:30,880 Speaker 3: what's been driving things like Micron at sand Disc. So, 59 00:03:31,560 --> 00:03:35,240 Speaker 3: but this is a powerful theme that will go on 60 00:03:35,440 --> 00:03:36,080 Speaker 3: for some time. 61 00:03:36,680 --> 00:03:39,640 Speaker 4: Microsoft down twenty three percent year to date. You don't 62 00:03:39,640 --> 00:03:42,480 Speaker 4: see that very often here, which your view there of 63 00:03:42,600 --> 00:03:46,080 Speaker 4: just kind of Microsoft and some of these software names. 64 00:03:46,440 --> 00:03:49,360 Speaker 3: I think Microsoft is a tremendous buy here. We've seen 65 00:03:49,600 --> 00:03:52,760 Speaker 3: this trend before where all of a sudden the market 66 00:03:52,800 --> 00:03:56,400 Speaker 3: turns negative on Microsoft because years ago they weren't in 67 00:03:56,400 --> 00:03:58,880 Speaker 3: the cloud. They are a cloud leader. They weren't INAI, 68 00:03:59,080 --> 00:04:03,080 Speaker 3: they are in AI leader, and they still command ninety 69 00:04:03,120 --> 00:04:07,000 Speaker 3: percent of all computer desktops. So this is a huge 70 00:04:07,840 --> 00:04:11,120 Speaker 3: infrastructure provider and I think a tremendous buy here. 71 00:04:12,040 --> 00:04:15,840 Speaker 2: And look the state of this and the catalyst of it. 72 00:04:16,600 --> 00:04:18,919 Speaker 2: What is the earning season going to look like? Is 73 00:04:18,960 --> 00:04:22,520 Speaker 2: it can convey that all these companies, these believe you 74 00:04:22,720 --> 00:04:24,160 Speaker 2: tech companies are still. 75 00:04:23,960 --> 00:04:30,240 Speaker 3: Thriving, absolutely and with each report an increasing capital investment 76 00:04:30,320 --> 00:04:30,760 Speaker 3: in AI. 77 00:04:31,240 --> 00:04:34,440 Speaker 2: We saw it. So with the you know Q four 78 00:04:34,720 --> 00:04:35,320 Speaker 2: and full. 79 00:04:35,200 --> 00:04:39,240 Speaker 3: Year results of all the big tech companies, the five 80 00:04:39,320 --> 00:04:43,200 Speaker 3: or six major tech companies have committed over six on 81 00:04:43,360 --> 00:04:46,640 Speaker 3: close to seven hundred billion dollars in capital investment for 82 00:04:46,720 --> 00:04:50,840 Speaker 3: this year, close to fifty percent from last year. So 83 00:04:51,040 --> 00:04:55,960 Speaker 3: capital investment in AI infrastructure and data centers and in 84 00:04:56,040 --> 00:05:01,240 Speaker 3: all the different factors or cloud computing, edge computing and 85 00:05:02,240 --> 00:05:05,240 Speaker 3: the access to this. Now I bring up WELLcom because 86 00:05:05,279 --> 00:05:09,479 Speaker 3: they recently announced we're they're working with open Ai. Last year, 87 00:05:09,520 --> 00:05:13,800 Speaker 3: open ai hired Johnny Ives from Apple to lead device creator. 88 00:05:13,839 --> 00:05:17,520 Speaker 3: Johnny Ives was the developer of the original iPhone. So 89 00:05:17,560 --> 00:05:20,279 Speaker 3: you're going to see devices from all of these companies. 90 00:05:20,640 --> 00:05:25,280 Speaker 3: It's going to be you know handheld desk connected devices. 91 00:05:26,800 --> 00:05:31,800 Speaker 3: The Meta just announced a new line of smart glasses. 92 00:05:31,960 --> 00:05:34,560 Speaker 3: It's going to be all these different devices that help 93 00:05:34,640 --> 00:05:39,080 Speaker 3: you interact right and get your questions answered by using 94 00:05:39,080 --> 00:05:39,839 Speaker 3: AI agent. 95 00:05:40,040 --> 00:05:43,320 Speaker 2: I've ad finds this wonderful and technology at Tigers. Stay 96 00:05:43,360 --> 00:05:47,240 Speaker 2: with us. More from Bloomberg Surveillance coming up after this. 97 00:05:54,480 --> 00:05:58,080 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 98 00:05:58,120 --> 00:06:01,640 Speaker 1: weekday afternoons from seven to ten den Listen on Apple 99 00:06:01,720 --> 00:06:05,039 Speaker 1: Karplay and Android Otto with the Bloomberg Business app, or 100 00:06:05,200 --> 00:06:06,680 Speaker 1: watch us live on YouTube. 101 00:06:06,839 --> 00:06:11,000 Speaker 2: We are just thrilled in Chad Wayne with us with Vanguard. 102 00:06:11,720 --> 00:06:15,480 Speaker 2: The academic path is her Beijing University in China that 103 00:06:15,640 --> 00:06:18,880 Speaker 2: she stumbled on the duke peaked at peached a duke 104 00:06:18,920 --> 00:06:21,160 Speaker 2: and then I wandered by Stanford to pick up the people. 105 00:06:21,200 --> 00:06:23,680 Speaker 2: What was your first day like at Duke to come 106 00:06:23,720 --> 00:06:27,719 Speaker 2: from China? Did you know who UNC was? Did you 107 00:06:27,760 --> 00:06:30,120 Speaker 2: have any Indiana Duke un see when you walked in 108 00:06:30,200 --> 00:06:30,520 Speaker 2: the door. 109 00:06:31,040 --> 00:06:35,080 Speaker 5: Well, my memory is still vivid when I actually come 110 00:06:35,120 --> 00:06:38,559 Speaker 5: to North Carolina, Blue Devil right, you know, fos keyboy 111 00:06:38,680 --> 00:06:40,680 Speaker 5: is the number one thing, and I still remember oil 112 00:06:40,720 --> 00:06:44,000 Speaker 5: price was ninety nine cents at that moment. That was 113 00:06:44,040 --> 00:06:45,159 Speaker 5: back in nineteen ninety seven. 114 00:06:45,320 --> 00:06:46,080 Speaker 6: Surely that's just. 115 00:06:46,040 --> 00:06:48,000 Speaker 2: Too short a visit today. But I've just got to 116 00:06:48,040 --> 00:06:51,200 Speaker 2: cut to the chase. The state of Hong Kong. We 117 00:06:51,240 --> 00:06:54,840 Speaker 2: have a huge platform there Stephen Engel, Yvonne and Dan 118 00:06:54,920 --> 00:06:58,120 Speaker 2: and all the team at Bloomberg. There the state of 119 00:06:58,440 --> 00:07:00,640 Speaker 2: government in Hong Kong on right now. 120 00:07:01,080 --> 00:07:04,160 Speaker 5: M Yeah, I think Hong Kong actually is you know, 121 00:07:04,240 --> 00:07:07,640 Speaker 5: stabilizing right after quite a few years of uh, you 122 00:07:07,720 --> 00:07:12,840 Speaker 5: know uncertainty, right, you know, this kind of uncertainty about 123 00:07:12,840 --> 00:07:16,120 Speaker 5: the political landscape there Hong Kong. Actually, I think the economy, 124 00:07:16,200 --> 00:07:20,160 Speaker 5: the market is finally coming back, so some of the 125 00:07:20,240 --> 00:07:24,640 Speaker 5: regulatory uncertainty is actually fading. We do see the finance 126 00:07:24,760 --> 00:07:27,640 Speaker 5: industry and the labor market is actually starting coming back, 127 00:07:27,760 --> 00:07:29,520 Speaker 5: especially with this Ai story. 128 00:07:29,680 --> 00:07:32,280 Speaker 2: What is it's my great mentor Michael Elliott who had 129 00:07:32,360 --> 00:07:36,120 Speaker 2: lost way too early from Time Magazine Up the mountain, 130 00:07:36,440 --> 00:07:40,960 Speaker 2: up the hill. Is the capitalistic spirit still in Hong Kong. 131 00:07:41,960 --> 00:07:44,280 Speaker 5: I think this is where what you would see in 132 00:07:44,520 --> 00:07:47,840 Speaker 5: Hong Kong is more this kind of socialist style, right, 133 00:07:47,960 --> 00:07:51,720 Speaker 5: you know, uh market economy, right, That's where I think 134 00:07:52,240 --> 00:07:55,040 Speaker 5: to a certain stand Hong Kong is so unique to China, right, 135 00:07:55,080 --> 00:07:58,520 Speaker 5: it still remains the window, you know, for China to 136 00:07:58,600 --> 00:08:01,080 Speaker 5: connect to the rest of the world. Right, So that's 137 00:08:01,120 --> 00:08:03,720 Speaker 5: where I would say you would continue to see this 138 00:08:03,880 --> 00:08:07,440 Speaker 5: kind of free capital flow, free market economy that will 139 00:08:07,520 --> 00:08:11,640 Speaker 5: remain to be the uniqueness about Hong Kong that is 140 00:08:11,720 --> 00:08:13,520 Speaker 5: actually different from the mainland China. 141 00:08:14,120 --> 00:08:17,040 Speaker 4: Talk to us about the economy on mainland China. How 142 00:08:17,080 --> 00:08:18,920 Speaker 4: do you see it today and what are the key 143 00:08:19,080 --> 00:08:20,000 Speaker 4: drivers going forward? 144 00:08:20,040 --> 00:08:20,360 Speaker 2: Do you think? 145 00:08:20,880 --> 00:08:23,280 Speaker 5: Well, I think when you look at the Chinese economy, 146 00:08:23,720 --> 00:08:26,560 Speaker 5: I think on the headline, you see that the real 147 00:08:26,680 --> 00:08:29,440 Speaker 5: economic growth seems to be pretty good, right, you know, 148 00:08:29,800 --> 00:08:32,679 Speaker 5: they are able to achieve their growth target last year 149 00:08:32,800 --> 00:08:34,959 Speaker 5: and this year four point five to five percent is 150 00:08:35,040 --> 00:08:38,400 Speaker 5: not that difficult to achieve either. But I think underline 151 00:08:38,440 --> 00:08:42,640 Speaker 5: that headline you see significant divergence between supply and demand. 152 00:08:43,440 --> 00:08:46,280 Speaker 5: At this moment, most of the economy driver is really exports, 153 00:08:46,600 --> 00:08:49,800 Speaker 5: Right Is that sustainable? I don't think so, right, because 154 00:08:49,880 --> 00:08:52,840 Speaker 5: that's going to create a lot of global friction, right, 155 00:08:52,960 --> 00:08:57,880 Speaker 5: protectionism from US, Europe even other emergent markets. Well, on 156 00:08:57,920 --> 00:09:00,000 Speaker 5: the other hand, if you look at the domestic demands 157 00:09:00,000 --> 00:09:04,480 Speaker 5: and consumer retail sales just you know contracted last months, right, 158 00:09:05,280 --> 00:09:07,800 Speaker 5: and then you know, fixed investment housing is in this 159 00:09:08,000 --> 00:09:11,520 Speaker 5: persistent long term. I don't see a decisive turn yet 160 00:09:11,800 --> 00:09:16,199 Speaker 5: at this moment without you know, significant government intervention or 161 00:09:16,320 --> 00:09:20,360 Speaker 5: leverage in central government balance sheet. So housing market hasn't 162 00:09:20,360 --> 00:09:20,880 Speaker 5: bottom yet. 163 00:09:21,920 --> 00:09:24,320 Speaker 4: How does China view the US in terms of these 164 00:09:24,400 --> 00:09:27,360 Speaker 4: trade negotiations? I kind of it just feels like to 165 00:09:27,480 --> 00:09:30,640 Speaker 4: me as an outsider, both sides kind of need each other. 166 00:09:30,840 --> 00:09:33,599 Speaker 4: It seems like, how does China view it? 167 00:09:34,200 --> 00:09:34,400 Speaker 3: Yeah? 168 00:09:34,679 --> 00:09:37,719 Speaker 5: I think that's you know one thing especially I think 169 00:09:37,840 --> 00:09:41,280 Speaker 5: with President Trump's visit to China. You know, they talk 170 00:09:41,320 --> 00:09:43,840 Speaker 5: about this kind of strategic stability, and to me, it's 171 00:09:43,920 --> 00:09:48,320 Speaker 5: more of a transactional relationship. Right. That's where the world 172 00:09:48,440 --> 00:09:51,160 Speaker 5: and the US realized that, yeah, we still need China, 173 00:09:51,280 --> 00:09:54,240 Speaker 5: especially at this moment when we are doing all those 174 00:09:54,320 --> 00:09:56,760 Speaker 5: build out right AI you know, and the rest work 175 00:09:56,800 --> 00:09:59,960 Speaker 5: Green transition, and you still need that kind of manufacturing 176 00:10:00,240 --> 00:10:01,360 Speaker 5: capacity from China. 177 00:10:02,480 --> 00:10:06,880 Speaker 2: Help us with the dollar. The basics in vanguard courses 178 00:10:06,960 --> 00:10:10,439 Speaker 2: front and center. Honest, we need a weak dollar to 179 00:10:10,559 --> 00:10:15,360 Speaker 2: have international equity investment go. That's been disproving here recently. 180 00:10:15,920 --> 00:10:18,640 Speaker 2: Do we need a week dollar, Do we need a 181 00:10:18,760 --> 00:10:19,520 Speaker 2: strong yuan? 182 00:10:20,559 --> 00:10:20,760 Speaker 1: Yeah? 183 00:10:20,920 --> 00:10:24,920 Speaker 5: I think I definitely think one actually is somewhat undervalue. 184 00:10:25,600 --> 00:10:27,800 Speaker 5: You know, if you look at the fundamental the purchase 185 00:10:27,840 --> 00:10:31,760 Speaker 5: and power, the record high you know, current council plus right, 186 00:10:31,840 --> 00:10:34,120 Speaker 5: you know, one point two treaty and last year and 187 00:10:34,320 --> 00:10:37,920 Speaker 5: then this year is likely to remain elevated. I do think, 188 00:10:38,120 --> 00:10:42,120 Speaker 5: you know, there's room for reman be yuan to appreciate 189 00:10:42,520 --> 00:10:44,559 Speaker 5: and to a certain stand I think that aligns with 190 00:10:44,679 --> 00:10:47,559 Speaker 5: the strategic goal of the Chinese government, right. They want 191 00:10:47,640 --> 00:10:50,360 Speaker 5: to push in them and be internationalization. They want to 192 00:10:50,400 --> 00:10:54,040 Speaker 5: boost up people's confidence in the Chinese economy and assets. 193 00:10:54,160 --> 00:10:56,880 Speaker 5: A stronger rum will actually help them. But I think 194 00:10:57,000 --> 00:10:59,679 Speaker 5: it's the question is really about the pace of appreciation. 195 00:11:00,160 --> 00:11:03,160 Speaker 5: I don't think China will ever let the pace of 196 00:11:03,440 --> 00:11:07,080 Speaker 5: appreciation or depreciation to be that fast, right, So anything 197 00:11:07,240 --> 00:11:10,839 Speaker 5: is in the controlled, managed, you know, pace by the 198 00:11:10,920 --> 00:11:12,000 Speaker 5: central bankan government. 199 00:11:12,760 --> 00:11:16,600 Speaker 4: Tariffs were however long we're into the whole tariff regime. Here, 200 00:11:16,720 --> 00:11:19,880 Speaker 4: President Trump, here, what's the view in China? What's the 201 00:11:19,960 --> 00:11:23,160 Speaker 4: impact been on China? How are they viewing this tariff environment? 202 00:11:23,720 --> 00:11:26,240 Speaker 5: Yeah, I mean that's an interesting part because I've been 203 00:11:26,440 --> 00:11:29,920 Speaker 5: you know, visiting you know, China manufacturing sector, you know, 204 00:11:30,160 --> 00:11:35,400 Speaker 5: in Guangdong, in Huatyang, you know, every year, right, And 205 00:11:35,760 --> 00:11:37,600 Speaker 5: you know, last year at the peak of the tariff, 206 00:11:38,080 --> 00:11:41,400 Speaker 5: when I was talking to a lot of manufacturers, I think, 207 00:11:41,600 --> 00:11:43,360 Speaker 5: you know, many of them feel like, you know what, 208 00:11:43,559 --> 00:11:46,800 Speaker 5: we see this coming, right, Like the trade war actually 209 00:11:46,880 --> 00:11:50,600 Speaker 5: started in twenty eighteen, and Chinese factories manufacturing has been 210 00:11:50,640 --> 00:11:53,680 Speaker 5: preparing for this for quite a few years. They've been 211 00:11:53,760 --> 00:11:58,360 Speaker 5: diversifying their you know, export market and moving their factories 212 00:11:58,559 --> 00:12:02,520 Speaker 5: right out of China. And also China is so competitive, right, 213 00:12:02,600 --> 00:12:05,320 Speaker 5: the cost is so low, so they can bear the target, 214 00:12:06,280 --> 00:12:08,880 Speaker 5: you like, way Lee of black Rock. 215 00:12:08,960 --> 00:12:13,360 Speaker 2: There's just such an authentic reality of China away from 216 00:12:13,400 --> 00:12:17,600 Speaker 2: the media myths in America. What's the number one thing 217 00:12:18,600 --> 00:12:22,200 Speaker 2: Americans get wrong about the state of China right now? 218 00:12:23,360 --> 00:12:25,559 Speaker 5: Well, I think you know, for a long time, we 219 00:12:25,880 --> 00:12:28,640 Speaker 5: as economists has been arguing that, you know, does China's 220 00:12:28,679 --> 00:12:32,439 Speaker 5: model work, right, the kind of you know, a government 221 00:12:32,559 --> 00:12:36,079 Speaker 5: plant or you know, socialist style of market economy does 222 00:12:36,160 --> 00:12:39,640 Speaker 5: not work at all, I mean, including industry policy, right. 223 00:12:39,760 --> 00:12:44,120 Speaker 5: I mean, you know, at some point people start to realize, Yeah, 224 00:12:44,200 --> 00:12:47,679 Speaker 5: it worked to a certain extent. Right, It's so at 225 00:12:47,760 --> 00:12:50,920 Speaker 5: some point it needs to be a you know combination. Right, 226 00:12:51,000 --> 00:12:53,640 Speaker 5: maybe the government can need to help, right, need to 227 00:12:53,720 --> 00:12:57,120 Speaker 5: support the economy to a certain extent, but at the 228 00:12:57,160 --> 00:12:59,880 Speaker 5: same time they also need to let the market economy 229 00:13:00,120 --> 00:13:03,959 Speaker 5: play their role in areas that you know, otherwise you 230 00:13:04,040 --> 00:13:06,560 Speaker 5: could end up with over capacity as we are seeing 231 00:13:06,960 --> 00:13:10,559 Speaker 5: today and you kind of distort you know, the economy, 232 00:13:10,880 --> 00:13:12,080 Speaker 5: which is not sustainable. 233 00:13:12,280 --> 00:13:14,079 Speaker 2: This has been wonderful. Thank you so much for the 234 00:13:14,120 --> 00:13:16,760 Speaker 2: effort to get here, and a long travels. Chang Wing 235 00:13:16,960 --> 00:13:20,520 Speaker 2: is with this chief Asia Pacific economist at Vanguard driving 236 00:13:20,640 --> 00:13:24,880 Speaker 2: all of their economics worldwide. Stay with us. More from 237 00:13:24,960 --> 00:13:27,480 Speaker 2: Bloomberg Surveillance coming up after this. 238 00:13:34,880 --> 00:13:38,440 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us Live 239 00:13:38,520 --> 00:13:41,640 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 240 00:13:41,760 --> 00:13:45,400 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 241 00:13:45,600 --> 00:13:46,520 Speaker 1: watch us live on. 242 00:13:46,600 --> 00:13:48,959 Speaker 2: YouTube Massive Rip up the script and we can do 243 00:13:49,040 --> 00:13:51,880 Speaker 2: this with Libby Cantrol of Pimco as well. The Secondary 244 00:13:51,920 --> 00:13:54,839 Speaker 2: of Treasury is over on a death start given the 245 00:13:54,920 --> 00:13:58,320 Speaker 2: Republican line off the elections last night this is Bessent. 246 00:13:58,840 --> 00:14:02,719 Speaker 2: Last night we saw ma'm donnie is Leader of Democrats. 247 00:14:03,400 --> 00:14:06,199 Speaker 2: Laura Nemaias picked that up for Bloomberg with Naka Kitan 248 00:14:06,679 --> 00:14:11,400 Speaker 2: and Samuel Church this morning, talking about anti establishment anger 249 00:14:12,480 --> 00:14:18,439 Speaker 2: is the Progressive Democrats, the Social Democrats, the new Mumdanni angle. 250 00:14:19,040 --> 00:14:22,200 Speaker 2: This is not Jacob Javits, this is not this is 251 00:14:22,280 --> 00:14:25,600 Speaker 2: not Hubert Humphrey. This isn't even John Lindsay, is it. 252 00:14:26,600 --> 00:14:26,640 Speaker 5: No? 253 00:14:26,920 --> 00:14:28,760 Speaker 7: I mean this is so I think a couple of things. 254 00:14:28,840 --> 00:14:31,640 Speaker 7: One is that just remember politics are local, so we're 255 00:14:31,680 --> 00:14:35,920 Speaker 7: talking about one of, if not the most liberal city 256 00:14:36,120 --> 00:14:39,400 Speaker 7: in America. But what this does show you what sort 257 00:14:39,400 --> 00:14:42,320 Speaker 7: of the what the primary results show you last night 258 00:14:42,400 --> 00:14:45,840 Speaker 7: is one, Mumdanni has incredible star power. He went three 259 00:14:45,960 --> 00:14:48,560 Speaker 7: for three in terms of endorsing folks who ended up winning. 260 00:14:49,360 --> 00:14:53,000 Speaker 7: But two, there is a lot of anti incumbent anger and. 261 00:14:53,080 --> 00:14:53,480 Speaker 4: You saw this. 262 00:14:53,600 --> 00:14:56,120 Speaker 7: You've seen this on the Republican side just as a reminder, 263 00:14:56,560 --> 00:14:58,640 Speaker 7: and now you're seeing it on the Democratic side as well. 264 00:14:59,280 --> 00:15:02,520 Speaker 7: And then number three is that the Democratic Socialist at 265 00:15:02,600 --> 00:15:05,000 Speaker 7: least here in New York City, are much better organized 266 00:15:05,360 --> 00:15:09,240 Speaker 7: than the party. So grassroots outreach, that all that stuff 267 00:15:09,320 --> 00:15:12,560 Speaker 7: still matters. I think this is very much expected that 268 00:15:12,760 --> 00:15:15,400 Speaker 7: the Republicans will sort of demagogue this, they'll make this 269 00:15:15,600 --> 00:15:18,800 Speaker 7: sort of the face of the Democratic Party. I think 270 00:15:18,840 --> 00:15:21,400 Speaker 7: it is also important just to remember that other folks, 271 00:15:21,560 --> 00:15:24,200 Speaker 7: more moderate candidates actually won last night, and on the 272 00:15:24,280 --> 00:15:28,120 Speaker 7: Democratic side in Utah and upstate New York, down in Maryland. 273 00:15:28,360 --> 00:15:31,000 Speaker 7: So I'm not sure that we should be extrapolating massive 274 00:15:31,120 --> 00:15:33,720 Speaker 7: themes about kind of the future of the Democratic Party. 275 00:15:34,040 --> 00:15:36,800 Speaker 7: But what is clear from on the Republican side and 276 00:15:36,920 --> 00:15:39,800 Speaker 7: Democratic side, and people are angry and they're mad at 277 00:15:39,800 --> 00:15:41,960 Speaker 7: incumbents and they're taking them out on this sort of 278 00:15:42,040 --> 00:15:43,440 Speaker 7: the political class, if you will. 279 00:15:43,720 --> 00:15:46,560 Speaker 4: Democratic socialists not really even sure what that is. But 280 00:15:47,080 --> 00:15:48,120 Speaker 4: is that a national thing? 281 00:15:48,920 --> 00:15:51,640 Speaker 7: Well again I think, I mean, it's definitely a thing 282 00:15:51,920 --> 00:15:54,600 Speaker 7: in the urban cities. So what you've seen in LA, 283 00:15:54,840 --> 00:15:56,760 Speaker 7: what you're seeing in Washington, DC, and you can hear 284 00:15:56,840 --> 00:16:01,120 Speaker 7: in New York. So and again, what do democratic socialist 285 00:16:01,160 --> 00:16:04,600 Speaker 7: stand for? I think it is pretty amorphous, honestly. But 286 00:16:04,880 --> 00:16:09,360 Speaker 7: their their outreach, their grassroots, they're organizing, I mean, it 287 00:16:09,440 --> 00:16:11,800 Speaker 7: has been you know, seller and as a result they 288 00:16:11,840 --> 00:16:15,160 Speaker 7: are doing well in these cities. Again, I would just 289 00:16:15,280 --> 00:16:19,280 Speaker 7: be were I would not extrapolate necessarily to national politics. 290 00:16:19,360 --> 00:16:23,320 Speaker 7: New York City, LA, Washington, d C. Obviously very you know, 291 00:16:23,440 --> 00:16:24,720 Speaker 7: very different. The only the other thing I think just 292 00:16:24,800 --> 00:16:27,760 Speaker 7: to remember is that, like we haven't gotten the final 293 00:16:27,960 --> 00:16:31,880 Speaker 7: voter turnout figures, but it's like ten percent of voters 294 00:16:32,000 --> 00:16:32,800 Speaker 7: voted last night. 295 00:16:32,960 --> 00:16:34,200 Speaker 6: If that okay, I get it. 296 00:16:34,240 --> 00:16:35,560 Speaker 2: That forty two people voted. 297 00:16:36,960 --> 00:16:37,520 Speaker 7: Were you one of them? 298 00:16:37,560 --> 00:16:40,720 Speaker 2: Okay? But here's the sub sub headline in the Washington Post. 299 00:16:41,120 --> 00:16:45,480 Speaker 2: How can Jeffries back candidates lose key primary races? How 300 00:16:45,560 --> 00:16:50,000 Speaker 2: do the Jeffries How does a mainstream Democrat in Michigan 301 00:16:50,880 --> 00:16:55,120 Speaker 2: adapt and adjust to this anger? This is Laura says, 302 00:16:55,480 --> 00:16:57,560 Speaker 2: this anti establishment anger. 303 00:16:58,680 --> 00:17:00,320 Speaker 7: Well, so again, I mean I think they'll try to 304 00:17:00,400 --> 00:17:02,280 Speaker 7: tap into this. I mean, this is a theme. We're 305 00:17:02,360 --> 00:17:04,760 Speaker 7: just seeing this. So whatever your labels you put on it, 306 00:17:05,200 --> 00:17:08,879 Speaker 7: you're seeing that voters are angry about gas and groceries 307 00:17:09,000 --> 00:17:12,200 Speaker 7: and housing and healthcare and now AI is the new boogeyman. 308 00:17:12,720 --> 00:17:15,040 Speaker 7: And so you know, I think that what democrats who 309 00:17:15,040 --> 00:17:17,600 Speaker 7: are moderate, who are winning and need to win and 310 00:17:17,680 --> 00:17:20,320 Speaker 7: kind of purple, if not reddish districts, they'll try to 311 00:17:20,400 --> 00:17:22,560 Speaker 7: kind of tap into the bigger themes and try to 312 00:17:22,560 --> 00:17:25,040 Speaker 7: stay away from the labels. Now, of course, question if 313 00:17:25,080 --> 00:17:27,040 Speaker 7: they can do that. Think Republicans are going to try 314 00:17:27,040 --> 00:17:30,800 Speaker 7: to be smart about pinning Mamdani on the entire Democratic Party. 315 00:17:31,240 --> 00:17:33,120 Speaker 7: As we know, Democrats are a big tent, so they'll 316 00:17:33,119 --> 00:17:35,159 Speaker 7: think they'll try to they'll try to use that as 317 00:17:35,280 --> 00:17:36,399 Speaker 7: their kind of rationalization. 318 00:17:36,560 --> 00:17:40,080 Speaker 4: Please, So, most of our viewers and listeners were just 319 00:17:40,240 --> 00:17:43,440 Speaker 4: enjoying the early early days of summer, but boy, the 320 00:17:43,560 --> 00:17:46,880 Speaker 4: midterms are right around the corner. What's the feeling these 321 00:17:47,000 --> 00:17:49,040 Speaker 4: days about how this might lay out in mid terms? 322 00:17:49,119 --> 00:17:53,560 Speaker 7: Well, look, I think that Well, again, anti incumbency, I 323 00:17:53,600 --> 00:17:56,120 Speaker 7: think this, and so you know, I would argue that Democrats, 324 00:17:56,200 --> 00:17:58,120 Speaker 7: we are a casualty of this. In twenty twenty four, 325 00:17:58,640 --> 00:18:02,280 Speaker 7: voters were angry. Then they put President Trump obviously pretty 326 00:18:02,320 --> 00:18:05,840 Speaker 7: unequivocally into the White House. Republicans won both chambers. I 327 00:18:05,880 --> 00:18:07,200 Speaker 7: think you're going to see a little bit of a 328 00:18:07,280 --> 00:18:11,200 Speaker 7: reversal of that now the Democrats or Democrats probably winning 329 00:18:11,240 --> 00:18:13,840 Speaker 7: the House. I think those Republicans will still keep the Senate. 330 00:18:14,200 --> 00:18:17,480 Speaker 7: But again, I think that the overall theme is that 331 00:18:17,720 --> 00:18:22,639 Speaker 7: the political establishment is not working for voters, and voters 332 00:18:22,680 --> 00:18:25,840 Speaker 7: will take that out on either party, with all parties. 333 00:18:25,640 --> 00:18:28,640 Speaker 2: With all your connections, with all your heritage to Washington. 334 00:18:29,280 --> 00:18:34,399 Speaker 2: If there's a four box dilemma, the basic idea that 335 00:18:34,520 --> 00:18:38,320 Speaker 2: if the Democrats mess this up mid term in presidential 336 00:18:38,440 --> 00:18:41,920 Speaker 2: twenty eight, that the Republicans will win again. Can the 337 00:18:42,040 --> 00:18:46,680 Speaker 2: Democrats get their act together and coalesce into a winning message? 338 00:18:47,040 --> 00:18:49,840 Speaker 7: They have to be something other than just anti Trump. 339 00:18:50,320 --> 00:18:52,560 Speaker 7: And because they are kind of a bunch of cats 340 00:18:52,600 --> 00:18:56,200 Speaker 7: and dogs, a big umbrella party, I viewers, that's the history. 341 00:18:56,240 --> 00:18:57,840 Speaker 7: Of course, it's a big tent. You know, this is 342 00:18:57,880 --> 00:19:00,159 Speaker 7: sort of the heritage of the Democratic Party. You know 343 00:19:00,480 --> 00:19:05,119 Speaker 7: very well, Tom. So you can they though, coalesce around 344 00:19:05,800 --> 00:19:09,480 Speaker 7: several key themes or key messages that are not just 345 00:19:09,680 --> 00:19:12,160 Speaker 7: anti Trump. That has been the glue for the party 346 00:19:12,200 --> 00:19:15,200 Speaker 7: since twenty sixteen. I think it's a it's a pretty 347 00:19:15,280 --> 00:19:17,680 Speaker 7: fragile base in order to win a launch. 348 00:19:17,720 --> 00:19:18,639 Speaker 2: Can you come back tomorrow? 349 00:19:20,200 --> 00:19:23,840 Speaker 6: Well, I promise, well, ye, we'll talk to thanks tomorrow. 350 00:19:23,920 --> 00:19:26,800 Speaker 2: Let me caret. Thank you so much for that. Stay 351 00:19:26,840 --> 00:19:30,600 Speaker 2: with us. More from Bloomberg Surveillance coming up after this. 352 00:19:37,960 --> 00:19:41,520 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 353 00:19:41,640 --> 00:19:44,720 Speaker 1: weekday afternoons from seven to ten am Eastern. Listen on 354 00:19:44,880 --> 00:19:48,160 Speaker 1: Apple Karplay and Android Auto with the Bloomberg Business app, 355 00:19:48,440 --> 00:19:50,160 Speaker 1: or watch us live on YouTube. 356 00:19:50,800 --> 00:19:56,000 Speaker 2: Our guest here I'm Detroit, but also on his Cleveland Cavaliers. 357 00:19:56,640 --> 00:19:59,320 Speaker 2: Jared Fleischer joins us right now the pet and Bogs 358 00:19:59,359 --> 00:20:02,359 Speaker 2: with Bedrock Detroit. I want to talk about Detroit, but 359 00:20:02,480 --> 00:20:05,480 Speaker 2: what I really want to talk about is Dan Gilbert. 360 00:20:05,800 --> 00:20:10,239 Speaker 2: Like his father or grandfather lily washed cars. Yes, they 361 00:20:10,440 --> 00:20:15,200 Speaker 2: started out classically with next to nothing. How did that 362 00:20:15,280 --> 00:20:18,680 Speaker 2: affect you? Every day? That the big guy owns the 363 00:20:18,680 --> 00:20:22,800 Speaker 2: Cleveland Cavalies and others, they there's an internal energy there 364 00:20:23,400 --> 00:20:24,000 Speaker 2: like no other. 365 00:20:24,280 --> 00:20:27,480 Speaker 6: I think Dan Gilbert represents the American dream, but also 366 00:20:27,600 --> 00:20:30,399 Speaker 6: the best of America. You know, came from nothing. His 367 00:20:30,560 --> 00:20:32,520 Speaker 6: parents owned a bar in a in a rough area 368 00:20:32,600 --> 00:20:35,919 Speaker 6: of Detroit. That's how he grew up. Left himself up 369 00:20:35,960 --> 00:20:38,520 Speaker 6: by the bootstraps, you know, went to Michigan State University, 370 00:20:38,920 --> 00:20:41,480 Speaker 6: ran a little gambling room out of his dorm, gambling 371 00:20:41,560 --> 00:20:43,360 Speaker 6: ring out of his dorm room to make some money 372 00:20:43,400 --> 00:20:45,119 Speaker 6: when he was at MSU. This is this is a 373 00:20:45,119 --> 00:20:49,080 Speaker 6: guy's a hustler. Started a little brick and mortar mortgage company, 374 00:20:49,680 --> 00:20:52,119 Speaker 6: and it was the first to see the vision of 375 00:20:52,200 --> 00:20:56,920 Speaker 6: bringing mortgages national and online. And really basically, you know, 376 00:20:57,000 --> 00:21:00,800 Speaker 6: from basically is his basement, built the largest mortgage lender 377 00:21:00,840 --> 00:21:02,880 Speaker 6: in the United States of America, bigger than the big banks, 378 00:21:02,920 --> 00:21:05,040 Speaker 6: and took the profits from that and turned around Detroit 379 00:21:05,119 --> 00:21:05,760 Speaker 6: and turned around. 380 00:21:06,119 --> 00:21:08,600 Speaker 2: Ross Family in Miami. From day one, he gave it 381 00:21:08,760 --> 00:21:13,520 Speaker 2: back population growth in Detroit in twenty twenty five, what's 382 00:21:13,600 --> 00:21:16,800 Speaker 2: the final catalyst to get people in Gross Point to 383 00:21:16,920 --> 00:21:18,080 Speaker 2: move back into Detroit? 384 00:21:18,480 --> 00:21:22,359 Speaker 6: Before Dan, the last time Detroit grew is nineteen fifty seven. 385 00:21:22,680 --> 00:21:26,760 Speaker 6: Detroit's peak population is one point nine million, trunk all 386 00:21:26,800 --> 00:21:29,399 Speaker 6: the way to six hundred and thirty thousand. With Dan's 387 00:21:29,480 --> 00:21:32,760 Speaker 6: investments in the city, it's growing for the first time 388 00:21:32,840 --> 00:21:36,320 Speaker 6: starting in twenty twenty four. It's leading the state of 389 00:21:36,400 --> 00:21:38,960 Speaker 6: Michigan in growth. In Dan's whole thesis is if we 390 00:21:39,080 --> 00:21:42,240 Speaker 6: invest in place and we turned Detroit into a cool 391 00:21:42,320 --> 00:21:44,440 Speaker 6: city we were talking earlier, making it like you know, 392 00:21:44,520 --> 00:21:47,119 Speaker 6: Williamsburg in Brooklyn, where the young people want to be. 393 00:21:47,800 --> 00:21:49,680 Speaker 6: It works. You create that kind of place the young 394 00:21:49,720 --> 00:21:51,840 Speaker 6: people come. When you have talented young people, then you 395 00:21:51,960 --> 00:21:54,240 Speaker 6: get business and you create a virtuous cycle. That's what 396 00:21:54,280 --> 00:21:55,760 Speaker 6: we're seeing in Detroit and Cleveland. 397 00:21:56,200 --> 00:21:59,160 Speaker 4: Talk to us about just the economic drivers of Detroit 398 00:21:59,240 --> 00:22:02,600 Speaker 4: has many of our listeners and viewers, they'll think auto 399 00:22:02,680 --> 00:22:05,439 Speaker 4: industry much like I think Texas energy. But it's different. 400 00:22:05,560 --> 00:22:05,679 Speaker 2: Now. 401 00:22:05,840 --> 00:22:08,280 Speaker 4: Talk to us about the economic drivers in Detroit. 402 00:22:08,720 --> 00:22:08,920 Speaker 2: Yeah. 403 00:22:09,080 --> 00:22:12,640 Speaker 6: So, uh, you know, the auto industry still dominates our state, 404 00:22:12,760 --> 00:22:14,639 Speaker 6: you know, the home of the Big three and the 405 00:22:14,720 --> 00:22:17,119 Speaker 6: whole and the supply chains. You know, our region is 406 00:22:17,160 --> 00:22:20,040 Speaker 6: still a big economic region four point one million people. 407 00:22:20,680 --> 00:22:23,639 Speaker 6: But what you saw, you know, over a generation, was 408 00:22:23,800 --> 00:22:26,800 Speaker 6: all that economic activity leave Detroit and as you saw 409 00:22:26,920 --> 00:22:30,119 Speaker 6: kind of broader de industrialization and the globalization the auto industry, 410 00:22:30,160 --> 00:22:33,080 Speaker 6: you saw, you know, the whole economic footprint in Michigan's shrink. 411 00:22:33,600 --> 00:22:36,680 Speaker 6: And so what we're trying to do is diversify our economy. 412 00:22:37,080 --> 00:22:39,680 Speaker 6: Mortgage is a big part of our economy in Michigan. 413 00:22:39,760 --> 00:22:42,840 Speaker 6: Increasingly tech it's a big part of our economy. Heads 414 00:22:42,880 --> 00:22:45,240 Speaker 6: and meds, you know, with innovation and healthcare is a 415 00:22:45,280 --> 00:22:48,000 Speaker 6: big part of our economy. But Dan's whole thesis is 416 00:22:48,240 --> 00:22:50,200 Speaker 6: it starts with place. If we turned Detroit, we just 417 00:22:50,240 --> 00:22:53,680 Speaker 6: got great bones, such history on the river all for 418 00:22:53,880 --> 00:22:57,359 Speaker 6: sports teams, downtown great bars, restaurants. If we build you know, 419 00:22:57,440 --> 00:23:00,320 Speaker 6: the kind of Williamsburg like environment that attracts young people. 420 00:23:00,480 --> 00:23:01,639 Speaker 6: That's how you start the engine. 421 00:23:01,640 --> 00:23:04,840 Speaker 2: Okay, you're tan inrested from working in patent bogs in Washington. 422 00:23:04,920 --> 00:23:07,359 Speaker 2: You go out to the war zone there. Can you 423 00:23:07,600 --> 00:23:11,439 Speaker 2: explain to Detroit into Michigan that the Gordi Hell Bridge 424 00:23:11,520 --> 00:23:13,919 Speaker 2: is not open cold you be here? 425 00:23:14,400 --> 00:23:18,399 Speaker 6: You know the Gordie how Bridge, which is a connection 426 00:23:18,560 --> 00:23:23,680 Speaker 6: between Detroit and Windsor, Canada, the busiest overland trade corridor 427 00:23:23,760 --> 00:23:26,920 Speaker 6: in the country or the second busiest. Canada financed the 428 00:23:27,000 --> 00:23:30,560 Speaker 6: construction of the bridge one percent. Canada even built the 429 00:23:30,720 --> 00:23:34,960 Speaker 6: toll plaza on the US side. And the deal is 430 00:23:35,160 --> 00:23:37,320 Speaker 6: so that can say, put up all the money they 431 00:23:37,359 --> 00:23:38,600 Speaker 6: get the tolls from. 432 00:23:40,400 --> 00:23:41,400 Speaker 2: Utreo exactly. 433 00:23:41,480 --> 00:23:43,719 Speaker 6: That was the deal until they get paid back. And uh, 434 00:23:44,160 --> 00:23:47,240 Speaker 6: there's some people, you know at sixteen hundred Pennsylvania Avenue 435 00:23:47,240 --> 00:23:49,280 Speaker 6: who think that was not a good deal and are 436 00:23:49,560 --> 00:23:52,920 Speaker 6: holding up the opening of the bridge. Not quite sure 437 00:23:52,960 --> 00:23:55,240 Speaker 6: you can get a better deal than somebody paying for something. 438 00:23:56,160 --> 00:24:01,159 Speaker 4: Yeah, so what's next for Detroit here? Talk to us 439 00:24:01,160 --> 00:24:02,600 Speaker 4: about kind of how you guys are thinking about the 440 00:24:02,640 --> 00:24:04,080 Speaker 4: next five years, ten years. 441 00:24:04,359 --> 00:24:04,560 Speaker 2: Yeah. 442 00:24:05,000 --> 00:24:07,680 Speaker 6: So the last ten years Dan's focus in Detroit was 443 00:24:08,080 --> 00:24:10,240 Speaker 6: on our north South corridor, which is we call it 444 00:24:10,280 --> 00:24:13,040 Speaker 6: Woodward Avenue, think about it like Fifth Avenue here your 445 00:24:13,240 --> 00:24:16,119 Speaker 6: main avenue. And then for the next ten to fifteen 446 00:24:16,160 --> 00:24:18,840 Speaker 6: years it's on our riverfront, on our riverfront, which our 447 00:24:18,840 --> 00:24:21,680 Speaker 6: east west axis. The big anchor of our riverfront is 448 00:24:21,920 --> 00:24:24,479 Speaker 6: the Renaissance Center, which to give you a sense how 449 00:24:24,560 --> 00:24:26,560 Speaker 6: big this building is, it's twice the size of the 450 00:24:26,560 --> 00:24:29,720 Speaker 6: Empire State Building built by Henry Ford. The second former 451 00:24:29,800 --> 00:24:33,760 Speaker 6: home of the General Motors Corporation, big empty, empty office 452 00:24:33,880 --> 00:24:37,080 Speaker 6: complex looming over the riverfront. We're going to do the 453 00:24:37,240 --> 00:24:40,679 Speaker 6: most ambitious and complex adaptive reuse project in the country, 454 00:24:41,000 --> 00:24:43,240 Speaker 6: bring that thing back to life and redevelop our whole 455 00:24:43,359 --> 00:24:46,960 Speaker 6: riverfront in Detroit. You know, there's a lot of models 456 00:24:46,960 --> 00:24:48,679 Speaker 6: of how New York is brought back its riverfront. We're 457 00:24:48,680 --> 00:24:49,680 Speaker 6: gonna try to do the same in Detroit. 458 00:24:49,800 --> 00:24:51,600 Speaker 2: Chure Fleas, sure, thank you. So this is don't be 459 00:24:51,680 --> 00:24:55,359 Speaker 2: a stranger Bedrock Detroit on one of the great great 460 00:24:55,560 --> 00:24:57,280 Speaker 2: comebacks in America. 461 00:24:57,840 --> 00:25:02,639 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 462 00:25:02,800 --> 00:25:07,040 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 463 00:25:07,200 --> 00:25:10,639 Speaker 1: seven to ten am Eastern on Bloomberg dot Com, the 464 00:25:10,760 --> 00:25:14,720 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 465 00:25:14,840 --> 00:25:18,159 Speaker 1: can also watch us live every weekday on YouTube and 466 00:25:18,400 --> 00:25:20,080 Speaker 1: always on the Bloomberg Terminal