1 00:00:00,280 --> 00:00:10,560 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,560 --> 00:00:14,480 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,560 --> 00:00:18,479 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,600 --> 00:00:21,799 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,920 --> 00:00:23,560 Speaker 1: us live on YouTube. 6 00:00:23,760 --> 00:00:25,959 Speaker 2: I want to switch back to what kind of stay 7 00:00:25,960 --> 00:00:26,840 Speaker 2: with global trade? 8 00:00:26,880 --> 00:00:30,160 Speaker 3: Here? Shawn donad Joints is here, Bloomberg News senior economics writer. 9 00:00:30,800 --> 00:00:34,480 Speaker 3: As President Trump widens the trade fight to include global 10 00:00:34,720 --> 00:00:38,960 Speaker 3: taxes and regulation, Sean, thanks so much for joining us here. 11 00:00:39,200 --> 00:00:42,560 Speaker 3: What is the latest from this administration as it relates 12 00:00:42,600 --> 00:00:45,320 Speaker 3: to global trade, taxes, regulation. 13 00:00:45,680 --> 00:00:47,839 Speaker 2: It's a wide mix of topics. 14 00:00:48,760 --> 00:00:50,839 Speaker 4: It's a wide mix of topics. It's also a fast 15 00:00:50,880 --> 00:00:55,080 Speaker 4: moving topic, as you can appreciate, and your previous guest 16 00:00:55,960 --> 00:01:00,600 Speaker 4: was talking about. Look, yesterday President Trump announced a plan 17 00:01:00,840 --> 00:01:05,399 Speaker 4: to come up with what he calls reciprocal tariffs, and 18 00:01:05,760 --> 00:01:09,200 Speaker 4: that will apply to any country in the world. They're 19 00:01:09,200 --> 00:01:12,679 Speaker 4: going to start by focusing on countries with which the 20 00:01:12,840 --> 00:01:17,640 Speaker 4: US has a large trade deficit or economies. So they're 21 00:01:17,680 --> 00:01:22,080 Speaker 4: looking hard at the European Union, for example. But what 22 00:01:22,280 --> 00:01:24,800 Speaker 4: was interesting about yesterday in a real departure from what 23 00:01:24,840 --> 00:01:27,480 Speaker 4: the US has done for decades is that they're going 24 00:01:27,560 --> 00:01:30,800 Speaker 4: to try and calculate these reciprocal tariffs by looking not 25 00:01:30,959 --> 00:01:34,640 Speaker 4: just at the tariffs that those other countries charge US goods, 26 00:01:35,000 --> 00:01:40,360 Speaker 4: but also at taxes, at what they call non tariff barriers, 27 00:01:40,360 --> 00:01:44,080 Speaker 4: which gets into things like regulation, and as they say 28 00:01:44,319 --> 00:01:47,880 Speaker 4: in the order that President Trump signed yesterday, any policy 29 00:01:48,120 --> 00:01:52,280 Speaker 4: that offers any kind of barrier to a US good. 30 00:01:52,280 --> 00:01:55,080 Speaker 4: As someone I was talking to yesterday pointed out, that 31 00:01:55,120 --> 00:01:58,360 Speaker 4: could even mean taking on the metric system if you're 32 00:01:58,400 --> 00:02:02,840 Speaker 4: talking about the EEA, trying costs there. Uh So, it's 33 00:02:02,840 --> 00:02:07,520 Speaker 4: a real broadening out of what Trump has has had 34 00:02:07,520 --> 00:02:10,400 Speaker 4: as its kind of central grievances on trade in the past. 35 00:02:11,280 --> 00:02:15,519 Speaker 4: One big target is the European Union's use of a 36 00:02:15,639 --> 00:02:19,760 Speaker 4: value added tax, which is effectively a sales tax that 37 00:02:19,960 --> 00:02:24,920 Speaker 4: all of its member countries operate. That's very different from 38 00:02:25,080 --> 00:02:26,920 Speaker 4: what we have here in the US. We obviously don't 39 00:02:26,960 --> 00:02:29,240 Speaker 4: have a national sales tax. We only have state level 40 00:02:29,240 --> 00:02:31,440 Speaker 4: sales taxes, and so. 41 00:02:31,760 --> 00:02:33,960 Speaker 5: None are as high as the v A T. So 42 00:02:34,240 --> 00:02:36,799 Speaker 5: I mean, none are as high as as. 43 00:02:36,320 --> 00:02:39,000 Speaker 4: The VAT and the real right from from from the 44 00:02:39,000 --> 00:02:43,560 Speaker 4: Trump administration is that European exporders get to clim back 45 00:02:44,040 --> 00:02:49,239 Speaker 4: v a T when goods leave the European Union, and 46 00:02:49,320 --> 00:02:52,440 Speaker 4: that US exporters to the EU have to pay v 47 00:02:52,560 --> 00:02:56,959 Speaker 4: a T when they arrive there. Now, tax experts say 48 00:02:57,000 --> 00:02:59,720 Speaker 4: that's kind of a misreading of how how things works. 49 00:02:59,800 --> 00:03:04,600 Speaker 4: VA T, much as a sales tax in Maine or 50 00:03:04,760 --> 00:03:08,680 Speaker 4: Maryland would be U is a tax on something that 51 00:03:08,760 --> 00:03:11,959 Speaker 4: you buy in that in that place. And those US 52 00:03:12,000 --> 00:03:14,560 Speaker 4: goods that have to pay a v a T in 53 00:03:14,760 --> 00:03:17,120 Speaker 4: or those US companies have to pay a VAT when 54 00:03:17,120 --> 00:03:21,919 Speaker 4: they sell in France, say, are selling alongside French goods 55 00:03:21,919 --> 00:03:24,639 Speaker 4: that also have to pay a VAT. Anyone has to 56 00:03:24,680 --> 00:03:28,160 Speaker 4: pay VAT in Europe, so it's not quite the competitive disadvantage. 57 00:03:28,160 --> 00:03:29,880 Speaker 5: It's a little different. I mean, if I order something 58 00:03:29,919 --> 00:03:32,400 Speaker 5: from Maine, I don't pay main taxes on it, right, but. 59 00:03:34,080 --> 00:03:35,240 Speaker 4: Right unless you buy it in May. 60 00:03:35,400 --> 00:03:38,120 Speaker 5: I feel like this was a concept of a plan 61 00:03:39,000 --> 00:03:42,480 Speaker 5: Sean more than really a plan, and I thought we 62 00:03:42,480 --> 00:03:44,720 Speaker 5: were going to get it. He tweeted that it was 63 00:03:44,760 --> 00:03:47,640 Speaker 5: a big day, the big This is the big day, right, 64 00:03:48,080 --> 00:03:50,400 Speaker 5: and then he said, well, a good one to a plan. 65 00:03:50,680 --> 00:03:54,480 Speaker 5: And also we're not going to know until April first, 66 00:03:54,560 --> 00:03:56,480 Speaker 5: like they still have to do studies. Didn't they study 67 00:03:56,560 --> 00:04:00,560 Speaker 5: during the campaign? I mean, I know which countries have 68 00:04:00,640 --> 00:04:03,440 Speaker 5: higher tariffs than we do on goods. All he has 69 00:04:03,480 --> 00:04:06,200 Speaker 5: to do is get chat GPT right or a Bloomberg 70 00:04:06,520 --> 00:04:08,680 Speaker 5: and he would get the numbers. Why does he need 71 00:04:08,720 --> 00:04:13,080 Speaker 5: to study until April first? Is he serious about this? 72 00:04:14,800 --> 00:04:17,520 Speaker 4: Well, because that's the business the government, right, There's a 73 00:04:17,560 --> 00:04:19,760 Speaker 4: process here, and if he's going to invoke some of 74 00:04:19,760 --> 00:04:24,560 Speaker 4: the authorities that he wants to invoke to apply these tariffs, 75 00:04:24,839 --> 00:04:27,520 Speaker 4: and they are going to defend it against potential lawsuits 76 00:04:27,839 --> 00:04:32,159 Speaker 4: from companies and defend it to the public, they have 77 00:04:32,279 --> 00:04:35,680 Speaker 4: to at least go through a process of doing an 78 00:04:35,680 --> 00:04:37,080 Speaker 4: official study. You should point out that. 79 00:04:37,160 --> 00:04:39,479 Speaker 5: What was the point of twenty twenty five? Didn't they 80 00:04:39,480 --> 00:04:40,440 Speaker 5: already do these studies? 81 00:04:40,680 --> 00:04:43,040 Speaker 4: The twenty twenty five wasn't his thing. And we should 82 00:04:43,080 --> 00:04:46,280 Speaker 4: also point out that his main economic officials, his main 83 00:04:46,320 --> 00:04:49,000 Speaker 4: trade officials, although they were in the Oval Office yesterday, 84 00:04:49,240 --> 00:04:52,520 Speaker 4: haven't actually been confirmed by the US Senate yet, and 85 00:04:52,560 --> 00:04:56,400 Speaker 4: that rights Howard lot Make, the Commerce Secretary and incoming 86 00:04:56,440 --> 00:05:00,040 Speaker 4: Commerce Secretary, and Jason Greer his US Trade. 87 00:05:00,480 --> 00:05:02,359 Speaker 3: All right, all right, Sean we'll stay on top of this. 88 00:05:02,440 --> 00:05:05,559 Speaker 3: I know you will as well. Here Sean Dinham, Senior 89 00:05:05,600 --> 00:05:08,920 Speaker 3: economics writer, Bloomberg News. He's down there in Washington, DC. 90 00:05:10,680 --> 00:05:14,360 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 91 00:05:14,440 --> 00:05:17,839 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 92 00:05:17,960 --> 00:05:21,000 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 93 00:05:21,040 --> 00:05:24,440 Speaker 1: get your podcasts, or watch us live on YouTube. 94 00:05:25,000 --> 00:05:27,080 Speaker 2: A couple of the big topics that get people's attention. 95 00:05:27,120 --> 00:05:30,400 Speaker 3: If you're writing a story, put meta and AI into 96 00:05:30,440 --> 00:05:30,960 Speaker 3: the headline. 97 00:05:31,120 --> 00:05:33,279 Speaker 2: Oh yeah, you're going to get some reader ship. 98 00:05:33,920 --> 00:05:37,800 Speaker 5: Did you know that ai in Chinese means love? 99 00:05:38,279 --> 00:05:38,640 Speaker 2: I did not. 100 00:05:39,080 --> 00:05:43,440 Speaker 5: Yeah, I guess the word for love in Chinese is AI. 101 00:05:43,600 --> 00:05:45,400 Speaker 2: I don't know how you pronounce it. But where did 102 00:05:45,400 --> 00:05:46,679 Speaker 2: you come across this piece of information? 103 00:05:47,360 --> 00:05:49,120 Speaker 5: David English wrote about it on the Bloomberg terminal. 104 00:05:49,400 --> 00:05:52,120 Speaker 2: Then it's got to be true. So let's check in here. 105 00:05:52,839 --> 00:05:53,480 Speaker 2: Man Deep Singh. 106 00:05:53,480 --> 00:05:57,239 Speaker 3: He's a senior technology analyst at Bloomberg Intelligence. Man Deep, 107 00:05:57,520 --> 00:06:00,600 Speaker 3: you got a big name, a big company, a leader 108 00:06:01,040 --> 00:06:06,160 Speaker 3: with deep pockets in meta talking about AI powered humanoid robots. 109 00:06:06,960 --> 00:06:07,960 Speaker 2: What's your takeaway here? 110 00:06:09,560 --> 00:06:12,839 Speaker 6: I mean, right now, it looks like everyone thinks that 111 00:06:13,240 --> 00:06:17,039 Speaker 6: is the next big hardware opportunity, whether it's Apple and 112 00:06:17,200 --> 00:06:21,039 Speaker 6: now Meta, they seem to be looking at that form factor. 113 00:06:21,120 --> 00:06:26,600 Speaker 6: And actually Nvidia dropped in that hint back in January 114 00:06:26,680 --> 00:06:31,280 Speaker 6: when they talked about a new chip or humanoid robots. 115 00:06:31,360 --> 00:06:35,040 Speaker 6: They released the new chip at CEES and they actually 116 00:06:35,120 --> 00:06:39,240 Speaker 6: released their own large anguid model for the humanoid form factor. 117 00:06:39,320 --> 00:06:42,919 Speaker 6: So it's not a surprise that everyone else is also 118 00:06:43,000 --> 00:06:46,120 Speaker 6: looking at that opportunity. And obviously you have Tessa who 119 00:06:46,160 --> 00:06:50,320 Speaker 6: already has Optimus as a product and has talked about 120 00:06:50,360 --> 00:06:55,200 Speaker 6: it almost on all their earnings calls, you know, recently, they. 121 00:06:55,160 --> 00:06:57,480 Speaker 5: Seem a little late to the party to me, frankly, 122 00:06:58,720 --> 00:07:02,280 Speaker 5: I think has so much money. You know, they go 123 00:07:02,320 --> 00:07:07,280 Speaker 5: after Twitter with threads, they go after open Ai with 124 00:07:07,640 --> 00:07:09,920 Speaker 5: whatever Meta's AI product is called. 125 00:07:10,040 --> 00:07:12,720 Speaker 2: They go after Tesla with well appleshow you don't have 126 00:07:12,760 --> 00:07:14,400 Speaker 2: to at first, you just have to be you know, 127 00:07:14,600 --> 00:07:16,600 Speaker 2: cool and good and all that kind of stuff. True. 128 00:07:16,800 --> 00:07:20,440 Speaker 3: So, Mandeep, is this something that the street's going to 129 00:07:20,680 --> 00:07:23,360 Speaker 3: like because it's AI? Or is this something the street's 130 00:07:23,400 --> 00:07:25,280 Speaker 3: going to say, you know, is this kind of like 131 00:07:25,360 --> 00:07:28,280 Speaker 3: the metaverse, which we didn't really like house. Do you 132 00:07:28,280 --> 00:07:29,400 Speaker 3: think the street's going to react to this. 133 00:07:30,680 --> 00:07:33,320 Speaker 6: Yeah, I think in the case of Meta, I mean, 134 00:07:33,440 --> 00:07:38,000 Speaker 6: there are question marks on their ability to design a good, 135 00:07:38,680 --> 00:07:44,480 Speaker 6: compelling hardware and look reband Meta glasses have been successful, 136 00:07:44,840 --> 00:07:47,680 Speaker 6: but when you look at the overall margin profile for 137 00:07:47,720 --> 00:07:50,400 Speaker 6: a company like Meta, I mean, ADS is such a 138 00:07:50,480 --> 00:07:54,200 Speaker 6: high margin business that hardware continues to be a drag 139 00:07:54,320 --> 00:07:57,320 Speaker 6: on their overall margins. And the fact that they're losing 140 00:07:57,360 --> 00:08:01,480 Speaker 6: almost twenty billion dollars every year on reality labs makes 141 00:08:01,480 --> 00:08:04,200 Speaker 6: you wonder if they add more hardware in the form 142 00:08:04,240 --> 00:08:08,520 Speaker 6: of humanoids, it could have mean bigger losses in that segment. 143 00:08:08,640 --> 00:08:12,160 Speaker 6: So I'm not sure if that's the right strategy for Meta. 144 00:08:12,280 --> 00:08:15,200 Speaker 6: Given they've had so much success, you know, with their apps, 145 00:08:15,240 --> 00:08:18,360 Speaker 6: family of apps, and how good they have been in 146 00:08:18,440 --> 00:08:21,720 Speaker 6: deploying AI across their apps, why would you want to 147 00:08:21,760 --> 00:08:24,480 Speaker 6: spend too much time on hardware. But I think Mark 148 00:08:24,560 --> 00:08:27,160 Speaker 6: Zuckerberg's view has always been he wants to control the 149 00:08:27,200 --> 00:08:30,680 Speaker 6: ecosystem from the hardware. I have that vertical integration, and 150 00:08:30,680 --> 00:08:31,880 Speaker 6: that's why they're doing it well. 151 00:08:31,920 --> 00:08:33,920 Speaker 3: MetaStock, just to give you a sense, up one percent 152 00:08:33,960 --> 00:08:36,280 Speaker 3: today a twenty five percent year to date in a 153 00:08:36,400 --> 00:08:38,520 Speaker 3: fifty five percent on a trailing twelve month basis. 154 00:08:38,559 --> 00:08:41,959 Speaker 2: So the market likes what's happening at Metal. Yeah, they're 155 00:08:42,040 --> 00:08:42,679 Speaker 2: killing it, but. 156 00:08:44,640 --> 00:08:48,240 Speaker 5: They don't control the ecosystem, right, I mean, where does 157 00:08:48,400 --> 00:08:54,280 Speaker 5: Facebook have any hardware other than that virtual reality glasses 158 00:08:54,320 --> 00:08:56,400 Speaker 5: thing that I don't think anyone bought. 159 00:08:57,440 --> 00:09:00,160 Speaker 6: Well, okay, I think it just goes to show that 160 00:09:01,000 --> 00:09:06,360 Speaker 6: Meta obviously is dependent on these app stores for their 161 00:09:06,520 --> 00:09:10,040 Speaker 6: apps to be successful, and they are. You know, they 162 00:09:10,080 --> 00:09:13,319 Speaker 6: have three of the most popular apps on both Android 163 00:09:13,360 --> 00:09:18,720 Speaker 6: and iOS app stores. So anytime Apple or Google makes 164 00:09:18,720 --> 00:09:21,719 Speaker 6: a change, that is where they got impacted with the 165 00:09:21,760 --> 00:09:25,280 Speaker 6: IDFA changes, and look, that's what they want to avoid 166 00:09:25,600 --> 00:09:29,880 Speaker 6: the next time it happens. Given every you know of 167 00:09:29,920 --> 00:09:34,160 Speaker 6: the software vendors is trying to infuse AI lllms at 168 00:09:34,200 --> 00:09:37,560 Speaker 6: the operating system level. So what does that mean for 169 00:09:37,600 --> 00:09:41,000 Speaker 6: a company like Meta, which has its own LLM and 170 00:09:41,080 --> 00:09:44,480 Speaker 6: wants to deploy it across more places. So owning the 171 00:09:44,520 --> 00:09:47,400 Speaker 6: hardware does have some potential over there. 172 00:09:47,960 --> 00:09:51,679 Speaker 5: I've upgraded to the pro model of chat GPT. 173 00:09:51,920 --> 00:09:53,880 Speaker 2: Now, oh yeah, that's not working. Were hanging for it? 174 00:09:54,440 --> 00:09:57,079 Speaker 5: Well, I kept getting cut off because I was asking 175 00:09:57,120 --> 00:10:01,520 Speaker 5: too many questions, but I use it locked Really how 176 00:10:01,600 --> 00:10:04,640 Speaker 5: much you pay twenty dollars a month? Sure, yeah, and 177 00:10:04,679 --> 00:10:09,160 Speaker 5: it's pretty pretty sweet, But I wonder if it costs 178 00:10:09,240 --> 00:10:13,240 Speaker 5: less to develop and run a large language model than 179 00:10:13,280 --> 00:10:13,760 Speaker 5: we thought. 180 00:10:14,360 --> 00:10:14,800 Speaker 2: I haven't. 181 00:10:14,880 --> 00:10:16,760 Speaker 5: I realized it's a couple of days old the story, 182 00:10:16,880 --> 00:10:19,120 Speaker 5: or a couple of weeks. But I haven't got your take, man, 183 00:10:19,200 --> 00:10:22,240 Speaker 5: deep is deep Seek full of it? I mean? Were 184 00:10:22,240 --> 00:10:28,120 Speaker 5: they just using illegally procured you know, Hopper chips or 185 00:10:28,160 --> 00:10:31,120 Speaker 5: Blackwell chips, or did they really like make an LLM 186 00:10:31,200 --> 00:10:32,400 Speaker 5: with six million bucks? 187 00:10:33,920 --> 00:10:37,640 Speaker 6: Look, that was their last training round. That wasn't inclusive 188 00:10:37,720 --> 00:10:40,280 Speaker 6: of all their training costs. But the bigger thing here 189 00:10:40,400 --> 00:10:44,160 Speaker 6: is Apple, you know, partnering with Ali Baba to deploy 190 00:10:44,960 --> 00:10:48,880 Speaker 6: LLLAM on their phone, and that's part of Apple intelligence. 191 00:10:48,920 --> 00:10:52,240 Speaker 6: So to me, you know, it's not just deep Seek anymore. 192 00:10:52,720 --> 00:10:56,320 Speaker 6: All the other companies over there in China, whether it's 193 00:10:56,360 --> 00:11:00,319 Speaker 6: Ali Baba or you know, the other ones I do, 194 00:11:00,520 --> 00:11:03,280 Speaker 6: et cetera, they all have their llms. They may not 195 00:11:03,400 --> 00:11:06,440 Speaker 6: be as capable as deep Seat, but this thing is 196 00:11:06,480 --> 00:11:10,840 Speaker 6: getting commoditized in my view, given every LLLM provider is 197 00:11:10,880 --> 00:11:14,640 Speaker 6: improving their reasoning capabilities and now Apple partnering. I think 198 00:11:14,640 --> 00:11:18,400 Speaker 6: that's a big step in terms of deploying their technology 199 00:11:18,440 --> 00:11:20,920 Speaker 6: and Apple I think did note at their last Drugs 200 00:11:20,960 --> 00:11:25,320 Speaker 6: call that Apple Intelligence was a big driver of refresh 201 00:11:25,360 --> 00:11:27,319 Speaker 6: refreshers wherever it was available. 202 00:11:27,520 --> 00:11:28,520 Speaker 2: All right, well, I'll like bob. 203 00:11:28,600 --> 00:11:31,400 Speaker 3: It's up three percent today, it's hitting a fifty two 204 00:11:31,520 --> 00:11:34,280 Speaker 3: week high, still below it's all time high from back 205 00:11:34,320 --> 00:11:36,400 Speaker 3: in twenty twenty, but it's up sixty eight percent over 206 00:11:36,400 --> 00:11:38,400 Speaker 3: the trailing twelve months. So certainly getting some love there. 207 00:11:38,400 --> 00:11:40,160 Speaker 3: Min deep Sink, thanks so much for joining us. Man 208 00:11:40,200 --> 00:11:41,480 Speaker 3: deep Sink, he's a senior. 209 00:11:41,200 --> 00:11:44,360 Speaker 2: Technology analyst for Bloomberg Intelligence. 210 00:11:46,120 --> 00:11:49,800 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 211 00:11:49,880 --> 00:11:52,960 Speaker 1: weekdays at ten am Eastern on Apple Coarplay and Android 212 00:11:53,000 --> 00:11:56,280 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 213 00:11:56,360 --> 00:11:59,480 Speaker 1: you get your podcasts, or watch us live on YouTube. 214 00:12:00,160 --> 00:12:02,520 Speaker 2: Isabelle's sitting in for Alex Steel on Paul Sweeney. 215 00:12:02,920 --> 00:12:05,800 Speaker 3: We are live in the Bloomberg Interactive Brooker Studio in 216 00:12:05,840 --> 00:12:08,360 Speaker 3: New York City, streaming live on YouTube's ahead of to 217 00:12:08,440 --> 00:12:11,960 Speaker 3: YouTube dot com. That's the internet thing. Search Bloomberg Podcast now, 218 00:12:12,000 --> 00:12:13,880 Speaker 3: and that's where you will find us, all right. I've 219 00:12:13,920 --> 00:12:16,360 Speaker 3: been in this business since nineteen eighty six, and since then, 220 00:12:17,120 --> 00:12:20,400 Speaker 3: in my mind, Morgan Stanley has been the dominant franchise 221 00:12:20,480 --> 00:12:23,079 Speaker 3: when it comes to all things real estate, real estate finance, 222 00:12:23,480 --> 00:12:25,600 Speaker 3: and they still are today. Everywhere you go in the 223 00:12:25,600 --> 00:12:28,360 Speaker 3: supply chain in terms of real estate financing to find 224 00:12:28,600 --> 00:12:29,839 Speaker 3: ex Morgan Stanley people. 225 00:12:29,880 --> 00:12:31,120 Speaker 4: So we're really. 226 00:12:30,960 --> 00:12:33,400 Speaker 3: Appreciative to have our next guest, Lauren Hockfelder. She's the 227 00:12:33,400 --> 00:12:36,000 Speaker 3: co CEO of Morgan Stanley Real Estate Investment. She joins 228 00:12:36,040 --> 00:12:38,920 Speaker 3: us here in her Bloomberg Interactive Brooker studio. When I 229 00:12:38,960 --> 00:12:40,840 Speaker 3: talk about commercial real estate, I think the first lesson 230 00:12:40,880 --> 00:12:43,280 Speaker 3: I learned is don't just think about office space because 231 00:12:43,280 --> 00:12:45,840 Speaker 3: there's so much other stuff out there. Where are you 232 00:12:45,840 --> 00:12:49,000 Speaker 3: guys at Morgan Stanley seeing the best opportunities today? 233 00:12:49,280 --> 00:12:52,440 Speaker 7: Yeah, So we start with what's driving demand, and so 234 00:12:52,480 --> 00:12:56,360 Speaker 7: we invest behind long term mega trends. Trends we're focused 235 00:12:56,360 --> 00:13:01,439 Speaker 7: on today are e commerce, the supply chain, realignment, aging, demographics. 236 00:13:01,760 --> 00:13:03,960 Speaker 7: So where does that bring us? That brings us to 237 00:13:04,640 --> 00:13:10,360 Speaker 7: industrial warehouses, that brings us to senior living places that 238 00:13:10,440 --> 00:13:13,240 Speaker 7: are really going to be propelled not by cyclical up 239 00:13:13,240 --> 00:13:16,840 Speaker 7: and downs, but by these long term trends, which. 240 00:13:16,720 --> 00:13:19,320 Speaker 8: Do you see as leading right now? Because we've seen 241 00:13:19,360 --> 00:13:22,360 Speaker 8: a huge shift in commercial real estate, some people have 242 00:13:22,480 --> 00:13:25,680 Speaker 8: said it's bottom, but what are your views on that? 243 00:13:26,240 --> 00:13:30,240 Speaker 7: Well, Look, commercial real estate or private real estate values 244 00:13:30,240 --> 00:13:32,960 Speaker 7: in the US are down what twenty five plus percent 245 00:13:33,160 --> 00:13:35,680 Speaker 7: over the last two and a half years, while the 246 00:13:35,720 --> 00:13:39,040 Speaker 7: equity markets are up sixty plus percent over the same period. 247 00:13:39,360 --> 00:13:42,160 Speaker 7: We feel really good about the entry part point to 248 00:13:42,440 --> 00:13:45,320 Speaker 7: a lot of real estate today. We think that, you know, 249 00:13:45,360 --> 00:13:51,000 Speaker 7: we've seen a bottom start to form. Liquidity increasing, transaction volume, 250 00:13:51,040 --> 00:13:55,640 Speaker 7: increasing costic capital really coming in, spreads compressing. So we 251 00:13:55,720 --> 00:13:59,280 Speaker 7: really feel like twenty four was about moderation. Twenty five 252 00:13:59,360 --> 00:14:02,080 Speaker 7: twenty six, we may see the transition into an up cycle. 253 00:14:02,600 --> 00:14:05,800 Speaker 3: All right, what we got here, let's get an informed opinion. 254 00:14:06,920 --> 00:14:12,200 Speaker 3: Commercial office, real estate, New York, San Francisco, Chicago, Boston. 255 00:14:13,200 --> 00:14:16,160 Speaker 3: Have we seen the bottom that I can't remember seeing 256 00:14:16,160 --> 00:14:18,640 Speaker 3: too many transactions out there that would suggest we've seen 257 00:14:18,679 --> 00:14:19,000 Speaker 3: the bottom. 258 00:14:19,040 --> 00:14:19,440 Speaker 2: I don't know. 259 00:14:21,160 --> 00:14:24,000 Speaker 7: Divergence, So I think for the best of the best, 260 00:14:24,160 --> 00:14:25,080 Speaker 7: we've probably. 261 00:14:24,760 --> 00:14:26,320 Speaker 2: Seven thirty one lection to avenue best. 262 00:14:26,400 --> 00:14:30,640 Speaker 7: I mean absolutely, for the best of the best, you 263 00:14:30,720 --> 00:14:35,160 Speaker 7: are seeing not just resilience from some of the headwinds, 264 00:14:35,480 --> 00:14:38,560 Speaker 7: but actually the best of the best assets are benefiting 265 00:14:38,840 --> 00:14:42,200 Speaker 7: from what's going on right now, massive consolidation into these 266 00:14:42,240 --> 00:14:45,600 Speaker 7: top tier buildings. They've become like an oasis in the 267 00:14:45,600 --> 00:14:48,600 Speaker 7: office desert. Everyone only wants to be in these assets. 268 00:14:48,920 --> 00:14:52,200 Speaker 7: And so yes, you're seeing leasing pickup in our San 269 00:14:52,240 --> 00:14:56,720 Speaker 7: Francisco office assets. We are commanding all time high rents, 270 00:14:57,040 --> 00:15:00,720 Speaker 7: signing long term, high quality leases at way abou pre COVID. 271 00:15:01,000 --> 00:15:03,880 Speaker 7: That's stunning when the market's almost forty percent vacant. 272 00:15:04,680 --> 00:15:07,640 Speaker 3: So what happens to that forty percent is it just 273 00:15:07,680 --> 00:15:09,640 Speaker 3: have to find the bottom somewhere. 274 00:15:10,480 --> 00:15:14,240 Speaker 7: So look, I think yes, you're going to have some 275 00:15:14,280 --> 00:15:19,360 Speaker 7: conversions to alternative uses. There are major complexities with that, 276 00:15:19,640 --> 00:15:24,160 Speaker 7: both sort of zoning wise and physical construction wise. Some 277 00:15:24,240 --> 00:15:26,960 Speaker 7: of it will get converted, a lot of it's just 278 00:15:27,000 --> 00:15:30,200 Speaker 7: going to be cost prohibitive to really release in a 279 00:15:30,240 --> 00:15:36,640 Speaker 7: meaningful way. You have to retrofit for sustainability conditions and amenitization. 280 00:15:37,680 --> 00:15:39,400 Speaker 7: Demand has changed what it wants. 281 00:15:40,560 --> 00:15:43,760 Speaker 8: Apart from the example you gave, uncertain things they lingers. 282 00:15:43,840 --> 00:15:46,720 Speaker 8: We have investors, they'll cautious about jumping in. What do 283 00:15:46,760 --> 00:15:49,200 Speaker 8: you tell them or how do you convince them? 284 00:15:49,560 --> 00:15:52,680 Speaker 7: Look, it depends where there are certainly areas I would 285 00:15:52,680 --> 00:15:55,840 Speaker 7: not jump in. But when you look across the globe, 286 00:15:55,960 --> 00:15:58,200 Speaker 7: for example, we find the US to be the most 287 00:15:58,280 --> 00:16:01,280 Speaker 7: interesting market in which to invest today. The US is 288 00:16:01,360 --> 00:16:05,160 Speaker 7: always fifho right, first in, first out, it's correct to 289 00:16:05,240 --> 00:16:08,040 Speaker 7: the sharpest. It tends to rebound the quickest. So this 290 00:16:08,120 --> 00:16:10,960 Speaker 7: is a market for the right sectors, for things like 291 00:16:11,080 --> 00:16:16,520 Speaker 7: senior housing, industrial, certain other spaces. We find it really compelling. 292 00:16:17,120 --> 00:16:19,480 Speaker 7: There are other parts of the world, and frankly other 293 00:16:19,560 --> 00:16:22,080 Speaker 7: sectors that we don't think have bottomed yet. For those 294 00:16:22,120 --> 00:16:25,520 Speaker 7: lower quality assets, you still have a wall of maturities 295 00:16:25,520 --> 00:16:30,680 Speaker 7: that's coming. And don't mistake delaying with fixing the problem. 296 00:16:30,720 --> 00:16:32,280 Speaker 7: There's still some pain to come there. 297 00:16:32,520 --> 00:16:35,160 Speaker 3: Talk to us about the capital markets, the financing for 298 00:16:35,320 --> 00:16:38,320 Speaker 3: real estate. If you want to go buy a building, 299 00:16:39,240 --> 00:16:41,640 Speaker 3: do whatever you want to do in your real estate portfolio, 300 00:16:42,000 --> 00:16:43,040 Speaker 3: where do you get the capital? 301 00:16:43,880 --> 00:16:47,960 Speaker 7: So debt capital is absolutely coming back. So we saw 302 00:16:48,000 --> 00:16:50,640 Speaker 7: a period of time where there was just total illiquidity. 303 00:16:51,560 --> 00:16:55,680 Speaker 7: We've seen CMBs picked up very materially so, and we've 304 00:16:55,680 --> 00:16:59,120 Speaker 7: seen spreads compress very materially so. Of course, base rates 305 00:16:59,120 --> 00:17:01,560 Speaker 7: are moving around, maybe more than we'd all like, but 306 00:17:01,640 --> 00:17:05,280 Speaker 7: spreads have compressed, so you're seeing a return to some 307 00:17:05,320 --> 00:17:07,840 Speaker 7: of the from some of the balance sheet lenders, you're 308 00:17:07,880 --> 00:17:11,439 Speaker 7: seeing CMBs, and you're seeing really this massive rise in 309 00:17:11,560 --> 00:17:16,359 Speaker 7: non bank lenders. So these alternative asset management, private credit, 310 00:17:16,440 --> 00:17:18,800 Speaker 7: private credit, private real estate credit. 311 00:17:19,200 --> 00:17:21,960 Speaker 8: Interesting you mentioned that twenty twenty five or twenty twenty 312 00:17:22,040 --> 00:17:23,360 Speaker 8: six maybe the year of reckoning. 313 00:17:23,400 --> 00:17:25,280 Speaker 9: There was a big Bloomberg piece late. 314 00:17:25,160 --> 00:17:28,600 Speaker 8: Last year around November quoting a lot of people saying that, yes, 315 00:17:28,760 --> 00:17:31,360 Speaker 8: twenty twenty five will be our year. But then hindsight 316 00:17:31,440 --> 00:17:33,920 Speaker 8: that may look like wishful thinking, especially with the rates 317 00:17:33,960 --> 00:17:36,840 Speaker 8: they'll elevated. How are you squaring your thoughts on that? 318 00:17:37,080 --> 00:17:40,560 Speaker 7: Absolutely well, Look, we think this cycle is not going 319 00:17:40,640 --> 00:17:44,600 Speaker 7: to be about rate compression. So coming out of the GFC, 320 00:17:44,840 --> 00:17:47,199 Speaker 7: one of the ways we all did very well is 321 00:17:47,640 --> 00:17:50,200 Speaker 7: you know, rates fell, you had cheap debt, you had 322 00:17:50,200 --> 00:17:53,320 Speaker 7: cap rate compression. That was how a lot of appreciation 323 00:17:53,480 --> 00:17:56,479 Speaker 7: was created. We think this cycle is different, so we 324 00:17:56,520 --> 00:18:00,199 Speaker 7: do expect to see moderation and rates. Perhaps it's a 325 00:18:00,200 --> 00:18:04,400 Speaker 7: bumpy road down, but ultimately that's not what we're betting on. 326 00:18:04,720 --> 00:18:07,920 Speaker 7: We think this cycle is much more about cash flow growth, 327 00:18:08,320 --> 00:18:11,000 Speaker 7: and so what that means is you need to be 328 00:18:11,040 --> 00:18:14,600 Speaker 7: in those sectors that have those mega trends driving demand 329 00:18:15,040 --> 00:18:17,640 Speaker 7: and in those sectors where supply has just fallen off 330 00:18:17,640 --> 00:18:20,880 Speaker 7: a cliff. That's how you get cash flow growth and frankly, 331 00:18:21,400 --> 00:18:25,239 Speaker 7: owning assets that you can really improve. So not just 332 00:18:25,359 --> 00:18:27,400 Speaker 7: buy and hold, but buy and change. 333 00:18:28,320 --> 00:18:31,280 Speaker 3: If you had the chance to buy a B level 334 00:18:31,280 --> 00:18:34,200 Speaker 3: building on Third Avenue on forty eighth Street at fifty 335 00:18:34,200 --> 00:18:36,720 Speaker 3: cents on the dollar, would you buy it? 336 00:18:36,720 --> 00:18:40,479 Speaker 7: It really depends. So I think what people sort of 337 00:18:40,840 --> 00:18:44,120 Speaker 7: people tend to homogenize real estate, and I think there's 338 00:18:44,160 --> 00:18:46,960 Speaker 7: a big difference between a forty thousand square foot floorplate 339 00:18:46,960 --> 00:18:49,120 Speaker 7: and a twenty thousand square foot floor plate in terms 340 00:18:49,160 --> 00:18:52,600 Speaker 7: of what it wants to be and what it's sort 341 00:18:52,600 --> 00:18:56,600 Speaker 7: of highest and best use is. So it's just you 342 00:18:56,640 --> 00:19:01,000 Speaker 7: need to think about how that specific asset. It's not 343 00:19:01,080 --> 00:19:01,800 Speaker 7: bs B as B. 344 00:19:02,200 --> 00:19:04,840 Speaker 3: Okay, how about right across the street, can you lease 345 00:19:04,840 --> 00:19:06,760 Speaker 3: out some of that commercial space because it hasn't been 346 00:19:06,840 --> 00:19:08,440 Speaker 3: leased since the pandemic. 347 00:19:08,480 --> 00:19:10,320 Speaker 2: I don't know what's going on there, so we need. 348 00:19:10,320 --> 00:19:13,000 Speaker 3: That's commercial real estate. I don't know across the street 349 00:19:13,000 --> 00:19:15,320 Speaker 3: from us. Still after the pandemic, it was. 350 00:19:15,359 --> 00:19:17,240 Speaker 4: The victorious secret across. 351 00:19:16,920 --> 00:19:18,480 Speaker 3: This Not that I don't know what's going on there, 352 00:19:18,480 --> 00:19:20,680 Speaker 3: but Lauren, thank you so much for joining us. Lauren Hotfelder, 353 00:19:21,000 --> 00:19:23,639 Speaker 3: she's the co CEO of Morgan Stanley Real Estate Investing, 354 00:19:23,720 --> 00:19:25,919 Speaker 3: joining us live here in our Bloomberg Inactive Broker studio. 355 00:19:27,600 --> 00:19:31,320 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 356 00:19:31,400 --> 00:19:34,439 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay, and Android 357 00:19:34,480 --> 00:19:37,800 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 358 00:19:37,840 --> 00:19:41,400 Speaker 1: you get your podcasts, or watch us live on YouTube. 359 00:19:41,840 --> 00:19:44,920 Speaker 3: A lot of towers talk around the fireplace these days. 360 00:19:44,920 --> 00:19:48,200 Speaker 3: It seems to be the economic policy of choice for 361 00:19:48,359 --> 00:19:51,800 Speaker 3: President Trump and his administration, so industries around the world 362 00:19:51,840 --> 00:19:53,919 Speaker 3: are trying to figure out what impact it will have 363 00:19:54,000 --> 00:19:54,439 Speaker 3: on their. 364 00:19:54,320 --> 00:19:56,040 Speaker 2: Business, and that includes the luxury business. 365 00:19:56,520 --> 00:19:59,240 Speaker 3: Ronnie set Home joins and she's managing partner at set 366 00:19:59,240 --> 00:20:00,639 Speaker 3: hom Lag Group. 367 00:20:01,280 --> 00:20:03,000 Speaker 2: Ronnie, when you think about. 368 00:20:02,800 --> 00:20:07,240 Speaker 3: The luxury business, high priced items, by and large, different 369 00:20:07,280 --> 00:20:10,200 Speaker 3: price points, different types of consumers. But again, if they're 370 00:20:10,240 --> 00:20:12,400 Speaker 3: going to be subject to terraces, whether it's from Mexico 371 00:20:12,480 --> 00:20:13,840 Speaker 3: or China or anywhere. 372 00:20:14,960 --> 00:20:16,840 Speaker 2: How does that play out in the luxury business. 373 00:20:18,680 --> 00:20:20,840 Speaker 10: I'm not sure it's going to vote very well for 374 00:20:21,040 --> 00:20:24,840 Speaker 10: the luxury business. I mean, there is some stagnation already 375 00:20:25,280 --> 00:20:29,120 Speaker 10: with consumers purchasing luxury for the top one percent, none 376 00:20:29,119 --> 00:20:31,160 Speaker 10: of these tariffs will really have an effect on their 377 00:20:31,600 --> 00:20:34,080 Speaker 10: purchasing power. But there are a lot of Henry's out 378 00:20:34,119 --> 00:20:38,640 Speaker 10: there which are high earners, not rich yet, and they 379 00:20:38,680 --> 00:20:41,320 Speaker 10: may pause if they have to spend an extra ten 380 00:20:41,359 --> 00:20:44,680 Speaker 10: to twenty five percent on the same item Henry's. 381 00:20:44,760 --> 00:20:46,360 Speaker 9: I had to explain that to my parents. 382 00:20:46,680 --> 00:20:47,800 Speaker 2: I just heard it for the first time. 383 00:20:47,840 --> 00:20:48,040 Speaker 3: Here. 384 00:20:48,240 --> 00:20:50,880 Speaker 9: It's a thing, all right, high earners but not rich yet. 385 00:20:50,960 --> 00:20:52,800 Speaker 10: Okay, so yes, it is a thing. 386 00:20:53,600 --> 00:20:56,680 Speaker 8: Which industry in the luxury sector will be hardest hit, though. 387 00:20:58,920 --> 00:21:02,560 Speaker 10: I think the fast fashion will be the hardest hit. 388 00:21:03,160 --> 00:21:06,000 Speaker 10: I mean, right now, the tariffs that are going to 389 00:21:06,320 --> 00:21:10,400 Speaker 10: be imposed on China are not just a regular ten 390 00:21:10,440 --> 00:21:15,520 Speaker 10: percent tariff, but there's also a loophole which currently allows 391 00:21:15,880 --> 00:21:19,120 Speaker 10: fast fashion retailers from China like She and that probably 392 00:21:19,200 --> 00:21:22,199 Speaker 10: is one of the top ones that come to mind, 393 00:21:22,359 --> 00:21:27,159 Speaker 10: allows them to ship products to the United States tax 394 00:21:27,240 --> 00:21:30,359 Speaker 10: free if the total sale is less than eight hundred 395 00:21:30,400 --> 00:21:35,120 Speaker 10: dollars and if that goes away, I'm sure that that 396 00:21:35,200 --> 00:21:36,920 Speaker 10: industr will be hit very hard. 397 00:21:38,119 --> 00:21:41,520 Speaker 3: So I think a lot of retailers Ronnie are trying 398 00:21:41,520 --> 00:21:43,680 Speaker 3: to think about their strategy about to what extent can 399 00:21:43,680 --> 00:21:47,760 Speaker 3: they pass increased tariff costs along to their consumers or 400 00:21:48,440 --> 00:21:51,399 Speaker 3: how that gets absorbed within the supply chain. What are 401 00:21:51,440 --> 00:21:54,120 Speaker 3: the luxury companies thinking about how much can they pass 402 00:21:54,160 --> 00:21:55,160 Speaker 3: through to their consumers? 403 00:21:56,000 --> 00:21:58,800 Speaker 10: Well, I mean, as of January, a lot of the 404 00:21:59,520 --> 00:22:03,400 Speaker 10: luxury retailers have already increased their prices by as much 405 00:22:03,400 --> 00:22:08,520 Speaker 10: as ten percent, and consumers are used to increases every 406 00:22:08,600 --> 00:22:14,400 Speaker 10: January from luxury you know, good makers. However, I'm not 407 00:22:14,480 --> 00:22:17,920 Speaker 10: sure if you tack on another ten or twenty five 408 00:22:18,000 --> 00:22:21,919 Speaker 10: percent that they'll stick around. I mean, I'm I'm worried 409 00:22:21,960 --> 00:22:25,800 Speaker 10: about you know, Canada goose for example, as the name implies, 410 00:22:25,920 --> 00:22:29,919 Speaker 10: you know it's from Canada. They are very expensive jackets. 411 00:22:29,960 --> 00:22:32,560 Speaker 10: They're great jackets. But who's going to pay an extra 412 00:22:32,720 --> 00:22:36,479 Speaker 10: twenty five percent or more? It's unclear. So I'm not 413 00:22:36,520 --> 00:22:39,800 Speaker 10: sure if all of the tariffs can be really pushed 414 00:22:39,800 --> 00:22:42,359 Speaker 10: down at the consumer level, I think there's gonna be 415 00:22:42,359 --> 00:22:45,280 Speaker 10: some pain sharing here. But you know, that's just my opinion. 416 00:22:45,840 --> 00:22:48,119 Speaker 8: Where do you think consumers will shift their attention to. 417 00:22:48,400 --> 00:22:51,920 Speaker 8: We have some analysting maybe emerging markets like India or 418 00:22:52,000 --> 00:22:52,720 Speaker 8: the Middle East. 419 00:22:52,840 --> 00:22:54,680 Speaker 9: Is that what you're seeing as well? 420 00:22:55,160 --> 00:22:55,440 Speaker 7: Well? 421 00:22:55,560 --> 00:22:58,800 Speaker 10: Since about I think twoenty and nineteen, a lot of 422 00:22:59,480 --> 00:23:03,360 Speaker 10: companies that rely heavily on China, we're starting to diversify, 423 00:23:03,920 --> 00:23:08,240 Speaker 10: and right now Vietnam and Bangladesh are like second and 424 00:23:08,320 --> 00:23:11,800 Speaker 10: third in line. But yes, I do see some additional 425 00:23:11,960 --> 00:23:13,200 Speaker 10: diversification coming. 426 00:23:15,400 --> 00:23:19,879 Speaker 3: Secondary market circular cost for the luxury business, secondary markets 427 00:23:19,880 --> 00:23:21,680 Speaker 3: material how does that going to be impacted? 428 00:23:22,440 --> 00:23:27,560 Speaker 10: Yes, I think it's going to really change everything about 429 00:23:27,560 --> 00:23:30,400 Speaker 10: the secondary market. I mean, if you try to purchase 430 00:23:31,160 --> 00:23:33,760 Speaker 10: a handbag, which is, you know, one of the main 431 00:23:34,440 --> 00:23:37,439 Speaker 10: goods that people are looking for bargains for because not 432 00:23:37,480 --> 00:23:40,879 Speaker 10: everyone has twelve thousand dollars or something to spend on 433 00:23:40,920 --> 00:23:44,560 Speaker 10: a handbag, they go to places like eBay, and a 434 00:23:44,600 --> 00:23:48,640 Speaker 10: lot of individuals selling on eBay are international. And if 435 00:23:48,640 --> 00:23:52,760 Speaker 10: there's a tariff, likely if you're not paying attention, your beat, 436 00:23:52,800 --> 00:23:55,000 Speaker 10: your bag or whatever good you're buying is going to 437 00:23:55,040 --> 00:23:57,960 Speaker 10: be held up in customs awaiting a payment. And for 438 00:23:58,040 --> 00:24:01,320 Speaker 10: those consumers who are paying attention to how much the 439 00:24:01,320 --> 00:24:04,040 Speaker 10: tariff could be, they may be dissuaded from purchasing at 440 00:24:04,119 --> 00:24:10,920 Speaker 10: least online. Then you have secondary good providers that are 441 00:24:11,040 --> 00:24:13,400 Speaker 10: local in some places, like you know, the Real Real 442 00:24:13,560 --> 00:24:16,960 Speaker 10: or Fashion File. You can go into the store. But again, 443 00:24:17,000 --> 00:24:21,320 Speaker 10: depending on where the item came from, people may be dissuaded. 444 00:24:21,400 --> 00:24:24,560 Speaker 10: They just may not have enough money to spend an 445 00:24:24,560 --> 00:24:27,480 Speaker 10: extra ten to twenty five or whatever the percentages end. 446 00:24:27,400 --> 00:24:30,000 Speaker 8: Up being on the part of the company. What do 447 00:24:30,040 --> 00:24:32,760 Speaker 8: you think about the strategy of shifting some production to 448 00:24:32,880 --> 00:24:34,960 Speaker 8: the US. I mean, this would allow brands to avoid 449 00:24:35,000 --> 00:24:38,919 Speaker 8: TIFF's entirely, or maybe cut costs. For instance, energy prices 450 00:24:38,920 --> 00:24:41,840 Speaker 8: in the US are significantly lower than in Europe, so 451 00:24:41,880 --> 00:24:43,040 Speaker 8: maybe that would be one thing. 452 00:24:44,440 --> 00:24:48,080 Speaker 10: I think it really depends upon what good we're talking about. So, 453 00:24:48,200 --> 00:24:53,200 Speaker 10: for example, the beauty industry, it is heavily reliant on packaging. 454 00:24:53,760 --> 00:24:57,480 Speaker 10: Many people may not know, but oftentimes the formulas are 455 00:24:57,800 --> 00:25:00,800 Speaker 10: pretty much identical from brand to brand, and what you're 456 00:25:00,840 --> 00:25:02,840 Speaker 10: really paying for is the packaging. And of course, you 457 00:25:02,880 --> 00:25:05,679 Speaker 10: know the color people do have unique colors, and there 458 00:25:05,680 --> 00:25:08,800 Speaker 10: are so many reds, you know, I'm sure anyone trying 459 00:25:08,800 --> 00:25:11,640 Speaker 10: to purchase red lipstick has gotten the experience that they 460 00:25:11,640 --> 00:25:13,359 Speaker 10: had to try on thirty of them before they found 461 00:25:13,359 --> 00:25:17,240 Speaker 10: the perfect red. However, it's the packaging and the mold. 462 00:25:17,359 --> 00:25:20,159 Speaker 10: The creation of the mold is very expensive, so I 463 00:25:20,200 --> 00:25:23,280 Speaker 10: don't know, for example, if the beauty industry will be 464 00:25:23,280 --> 00:25:26,440 Speaker 10: able to pivot to us made immediately. 465 00:25:26,720 --> 00:25:27,800 Speaker 2: It might cost you much. 466 00:25:28,160 --> 00:25:29,760 Speaker 3: All right, Ronnie, thank you so much for joining us. 467 00:25:29,800 --> 00:25:33,920 Speaker 3: Ronnie set Home. She's managing partner at Sethom Law Group 468 00:25:34,000 --> 00:25:34,440 Speaker 3: as well. 469 00:25:35,280 --> 00:25:40,000 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 470 00:25:40,160 --> 00:25:43,640 Speaker 1: and anywhere else you get your podcasts. 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