1 00:00:01,360 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEO, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple Podcasts or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:21,760 Speaker 1: and on Bloomberg dot com. Let's talk a little technology 7 00:00:21,840 --> 00:00:24,279 Speaker 1: to talk Apple, let's talk Uber And who better to 8 00:00:24,320 --> 00:00:26,960 Speaker 1: do that with than Dan Ives Dance and Managing director 9 00:00:27,000 --> 00:00:30,040 Speaker 1: for equity research at web Bush Securities. Uh, really one 10 00:00:30,080 --> 00:00:33,400 Speaker 1: of our go to voices on all things technology. Dance, 11 00:00:33,440 --> 00:00:35,920 Speaker 1: thanks so much for joining us here. Interesting news. I 12 00:00:35,960 --> 00:00:37,920 Speaker 1: just kind of read a news story just a couple 13 00:00:37,960 --> 00:00:41,400 Speaker 1: of minutes ago about Apple talking about bundling some of 14 00:00:41,479 --> 00:00:44,200 Speaker 1: their services here, what can you tell us about what's 15 00:00:44,240 --> 00:00:47,120 Speaker 1: actually going on with Apple and some of their services 16 00:00:47,159 --> 00:00:50,680 Speaker 1: businesses which are a key to the future of this company. Yeah, 17 00:00:50,720 --> 00:00:52,560 Speaker 1: and you hit the nail on the head in terms 18 00:00:52,640 --> 00:00:56,040 Speaker 1: of services being so significant. That's a sixty billion dollar 19 00:00:56,120 --> 00:00:59,760 Speaker 1: revenue stream next year. And I think the bundling, it's 20 00:00:59,760 --> 00:01:03,080 Speaker 1: just a massively smart move by Cooking Cupertino. I think 21 00:01:03,160 --> 00:01:06,800 Speaker 1: ultimately this could increase services revenues by another five to 22 00:01:06,920 --> 00:01:10,520 Speaker 1: seven percent. In terms of it's all that monetizing that 23 00:01:10,680 --> 00:01:14,039 Speaker 1: golden installed based That's what Apple is doing. They're very 24 00:01:14,080 --> 00:01:17,600 Speaker 1: similar many ways what Amazon done with the Amazon Prime. 25 00:01:19,280 --> 00:01:22,080 Speaker 1: What would they look like, because as I understand it, 26 00:01:22,600 --> 00:01:25,600 Speaker 1: you know, some of them are kind of bundled already. 27 00:01:25,680 --> 00:01:27,560 Speaker 1: Know you get like three or three months of this 28 00:01:27,760 --> 00:01:31,160 Speaker 1: if you you know, if you're subscribed to that, and 29 00:01:31,440 --> 00:01:36,640 Speaker 1: you know, maybe not exactly monthly bundling, but something similar. Yeah, 30 00:01:36,640 --> 00:01:39,360 Speaker 1: I think this is really take a step back if 31 00:01:39,360 --> 00:01:42,920 Speaker 1: you think about gaming, music, ultimately video you know, Apple 32 00:01:43,000 --> 00:01:46,040 Speaker 1: TV plus, you know, as well as potentially iCloud and 33 00:01:46,120 --> 00:01:49,440 Speaker 1: some other package services in there. I mean, as they 34 00:01:49,440 --> 00:01:54,640 Speaker 1: have continued to expand their offerings, they have more content 35 00:01:54,720 --> 00:01:56,400 Speaker 1: to sell and I think that's just going to increase 36 00:01:56,480 --> 00:01:59,280 Speaker 1: over time. And what this is really doing, it's putting 37 00:01:59,680 --> 00:02:02,680 Speaker 1: really more of a fence around their backyard, just monetized 38 00:02:02,760 --> 00:02:06,760 Speaker 1: the installation and ultimately pricing it. At points where media 39 00:02:06,880 --> 00:02:09,760 Speaker 1: consumer was not going to go for one or two 40 00:02:09,800 --> 00:02:12,280 Speaker 1: of the bundles like an Apple News, now they will, 41 00:02:12,680 --> 00:02:16,160 Speaker 1: and especially in the pandemic backdrop with the work from 42 00:02:16,280 --> 00:02:19,280 Speaker 1: home and many you know, continuing to to kind of 43 00:02:19,280 --> 00:02:22,000 Speaker 1: access things remotely. This is the right move at the 44 00:02:22,080 --> 00:02:24,520 Speaker 1: right time for them. Hey, Dan, I want to switch 45 00:02:24,520 --> 00:02:26,560 Speaker 1: gears a little bit and talk about just the gig 46 00:02:26,600 --> 00:02:30,440 Speaker 1: economy writ large week again. We got some jobless numbers today, 47 00:02:30,520 --> 00:02:35,600 Speaker 1: But thinking about Uber and California, UM California is talking 48 00:02:35,600 --> 00:02:39,359 Speaker 1: about I guess reclassifying some of those gig workers like 49 00:02:39,400 --> 00:02:43,480 Speaker 1: an Uber and Lifted drivers into employees. This is a 50 00:02:43,600 --> 00:02:49,080 Speaker 1: fundamental risk to these companies, isn't it. It's not just 51 00:02:49,160 --> 00:02:52,280 Speaker 1: the black cloud. It's really a future business model risk 52 00:02:52,760 --> 00:02:55,080 Speaker 1: to the overall gig economy with the Uber and Lift 53 00:02:55,120 --> 00:02:58,120 Speaker 1: frotain center, and it continues to be a head scratcher 54 00:02:58,200 --> 00:03:00,600 Speaker 1: for many you know, if you mean many of the 55 00:03:00,680 --> 00:03:03,639 Speaker 1: drivers that we've talked to you even over the last year, 56 00:03:04,000 --> 00:03:06,079 Speaker 1: they don't want to be employees. That's why they work 57 00:03:06,120 --> 00:03:10,160 Speaker 1: for Uber Uber itself. If they ever had to reclassify them, 58 00:03:10,560 --> 00:03:13,080 Speaker 1: that could be upwards a four to five million of 59 00:03:13,080 --> 00:03:16,040 Speaker 1: incremental costs per year. Obviously they're gonna fight through the 60 00:03:16,080 --> 00:03:18,880 Speaker 1: court system as well as in the ballot box. But 61 00:03:19,000 --> 00:03:21,640 Speaker 1: the fear is is in terms of what California is doing. 62 00:03:22,120 --> 00:03:25,080 Speaker 1: It's a Pandora's box situation where other states and cities 63 00:03:25,120 --> 00:03:28,359 Speaker 1: will file. Right now, we think VARs worsen the fight. 64 00:03:28,520 --> 00:03:31,800 Speaker 1: But if this continues down the road and ultimately Uber 65 00:03:31,840 --> 00:03:34,400 Speaker 1: that's why they might have to temporarily get out of California. 66 00:03:35,240 --> 00:03:38,400 Speaker 1: It's fascinating. Will it be a president for other companies? 67 00:03:38,480 --> 00:03:41,960 Speaker 1: You think? Well, I think when you think about gig economy, 68 00:03:42,000 --> 00:03:45,160 Speaker 1: that's the word because it's starts to ubern Live and 69 00:03:45,200 --> 00:03:48,080 Speaker 1: there's a cascading impact, and I think there's a lot 70 00:03:48,080 --> 00:03:50,880 Speaker 1: of unintended consequences here, which is part of the big 71 00:03:50,880 --> 00:03:54,520 Speaker 1: worry as California has gone down this head scratching route. 72 00:03:55,440 --> 00:03:57,960 Speaker 1: And when you think about the gay economy, you're talking 73 00:03:58,040 --> 00:04:01,680 Speaker 1: about something that's created millions of jobs and now many 74 00:04:01,680 --> 00:04:04,840 Speaker 1: of them could be at risk, even on the contractor 75 00:04:04,840 --> 00:04:08,200 Speaker 1: employee debate, and that continues to be a frustration, not 76 00:04:08,320 --> 00:04:11,880 Speaker 1: just for the companies but obviously for investors as right 77 00:04:11,920 --> 00:04:14,520 Speaker 1: now that continues to be the need to risk around 78 00:04:14,600 --> 00:04:17,039 Speaker 1: these names. Yeah, so it's interesting. I mean, I guess 79 00:04:17,120 --> 00:04:20,240 Speaker 1: the the argument there is clearly, hey, these folks are working, 80 00:04:20,240 --> 00:04:24,600 Speaker 1: but they're not getting benefits. For example, what's the what's 81 00:04:24,640 --> 00:04:27,800 Speaker 1: the argument from UH you know, the ubers and lifts 82 00:04:27,800 --> 00:04:31,880 Speaker 1: and the other gig companies. The argument is, if an 83 00:04:31,920 --> 00:04:36,039 Speaker 1: employee in the state of California's eye that wants to 84 00:04:36,080 --> 00:04:38,960 Speaker 1: work ten hours a week, what do they do? You know, 85 00:04:39,000 --> 00:04:41,279 Speaker 1: there's many of them. Like the flexible schedule might be 86 00:04:41,279 --> 00:04:44,320 Speaker 1: a second job, it might be actually income for a 87 00:04:44,480 --> 00:04:47,800 Speaker 1: student that's looking to save money for college. Stain. The 88 00:04:47,839 --> 00:04:52,160 Speaker 1: frustration from their perspective is the flexibility is the nature 89 00:04:52,279 --> 00:04:55,719 Speaker 1: of the driver model, and most drivers do not want that. 90 00:04:55,760 --> 00:05:00,080 Speaker 1: And that's that's ultimately the heart of the gig econ me, 91 00:05:00,160 --> 00:05:03,359 Speaker 1: which is why this is such a bewildering issue. Of Course, 92 00:05:03,400 --> 00:05:05,880 Speaker 1: at a time, in a once in a hundre your 93 00:05:05,960 --> 00:05:09,600 Speaker 1: pandemic where the gig economy, we believe, based on our 94 00:05:09,640 --> 00:05:14,599 Speaker 1: survey work of consumers will not get into an uber 95 00:05:14,680 --> 00:05:18,120 Speaker 1: or lift to a vaccines found just given safety issues. 96 00:05:18,400 --> 00:05:21,919 Speaker 1: Will there be consolidation among some of these types of 97 00:05:21,960 --> 00:05:24,800 Speaker 1: companies you know, Uber Lift, and of course you have 98 00:05:24,920 --> 00:05:29,480 Speaker 1: other companies in the gig economy competing too. I mean, 99 00:05:29,480 --> 00:05:32,800 Speaker 1: I think you will start to see some consolidation on 100 00:05:32,839 --> 00:05:35,440 Speaker 1: the smaller side. Uber and Wift, I think they go 101 00:05:35,520 --> 00:05:38,520 Speaker 1: about it alone. That's why profitability is so important, and 102 00:05:38,520 --> 00:05:41,400 Speaker 1: that's what we've talked about yesterday. But right now to 103 00:05:41,440 --> 00:05:45,840 Speaker 1: herculean but bill battle for many of these companies as 104 00:05:45,880 --> 00:05:48,240 Speaker 1: they get through this environment. I do believe on the 105 00:05:48,240 --> 00:05:50,719 Speaker 1: other side they will be able to navigate, but for 106 00:05:50,839 --> 00:05:54,120 Speaker 1: right now, this continues to be just a massive headwind 107 00:05:54,120 --> 00:05:56,560 Speaker 1: that they're facing down before we go. I have one 108 00:05:56,720 --> 00:05:59,800 Speaker 1: question for you. Of all of your companies in your 109 00:06:00,000 --> 00:06:02,480 Speaker 1: of the universe, the only underperform you have is on 110 00:06:02,640 --> 00:06:04,800 Speaker 1: Slack Technologies, which I would have thought might have been 111 00:06:04,800 --> 00:06:08,560 Speaker 1: doing pretty okay in this environment. Why own the performance? 112 00:06:08,560 --> 00:06:14,000 Speaker 1: Slack a great company, obviously work from home name. Our 113 00:06:14,040 --> 00:06:17,200 Speaker 1: biggest issue with Slack is the stocks had a great run. 114 00:06:17,600 --> 00:06:20,360 Speaker 1: I just think with Microsoft and Redmond and teens, that's 115 00:06:20,400 --> 00:06:23,000 Speaker 1: going to be a very difficult market for them to 116 00:06:23,080 --> 00:06:26,880 Speaker 1: further penetrates. They go after Microsoft, a great company. It 117 00:06:27,040 --> 00:06:29,000 Speaker 1: just comes down to, is a great company a great 118 00:06:29,000 --> 00:06:32,839 Speaker 1: stock at this valuation. That's why we're cautious at Slack 119 00:06:32,880 --> 00:06:36,039 Speaker 1: at these levels. I hear that, all right, and thank 120 00:06:36,080 --> 00:06:39,680 Speaker 1: you and thanks for being so open about that particular question. 121 00:06:39,720 --> 00:06:43,720 Speaker 1: I appreciated Don Ives, equity analysts at wed Bush Securities 122 00:06:43,760 --> 00:06:48,240 Speaker 1: joining us it is time for Bloomberg Opinion, and for 123 00:06:48,440 --> 00:06:50,960 Speaker 1: that now we bring in one of our favorite opinion columnists, 124 00:06:51,000 --> 00:06:53,840 Speaker 1: and Neil Ferguson, a senior fellow at the Hoover Institution 125 00:06:54,120 --> 00:06:56,880 Speaker 1: and of course Bloomberg columnist, among many many other roles 126 00:06:56,920 --> 00:06:59,600 Speaker 1: that he plays in society and has played over the 127 00:06:59,680 --> 00:07:03,679 Speaker 1: years in academia and elsewhere. His latest column is TikTok 128 00:07:03,760 --> 00:07:06,960 Speaker 1: is a super weapon in China's Culture War. Neil, thanks 129 00:07:07,000 --> 00:07:10,440 Speaker 1: for joining. I want to read out the first couple 130 00:07:10,440 --> 00:07:12,760 Speaker 1: of lines of your column. It's hard to get past 131 00:07:12,760 --> 00:07:15,920 Speaker 1: the initial share inality of TikTok. I spent half an 132 00:07:15,920 --> 00:07:17,920 Speaker 1: hour trying to make sense of the endless feed of 133 00:07:18,000 --> 00:07:20,640 Speaker 1: video snippets of ordinary people doing daft things with their 134 00:07:20,680 --> 00:07:23,720 Speaker 1: dogs or in their kitchens or in the gym. That's 135 00:07:23,720 --> 00:07:27,000 Speaker 1: the background. If TikTok is so inane, how has it 136 00:07:27,040 --> 00:07:30,040 Speaker 1: become such a cultural lever in the sense that it's 137 00:07:30,040 --> 00:07:33,680 Speaker 1: mobilized K pop fans to register for Donald Trump's Tulsa rally. 138 00:07:33,760 --> 00:07:36,640 Speaker 1: It's been a pandemic favorite and suddenly, as you say, 139 00:07:36,680 --> 00:07:38,680 Speaker 1: it's now got something to do with Cold War two. 140 00:07:40,160 --> 00:07:42,640 Speaker 1: That's right. Well on my initial reaction, As you can tell, 141 00:07:42,760 --> 00:07:45,440 Speaker 1: from the opening of the column was give me a break, 142 00:07:46,640 --> 00:07:50,800 Speaker 1: it's not serious. I did some some thorough research, as 143 00:07:50,840 --> 00:07:53,560 Speaker 1: a middle aged man should when confronted with an app 144 00:07:53,640 --> 00:07:57,800 Speaker 1: popular with the young. My kids and I got some 145 00:07:57,880 --> 00:08:00,840 Speaker 1: interesting feedback. My eight year old son said, Hey, check 146 00:08:00,840 --> 00:08:04,360 Speaker 1: out the Dancing Weasel, but my twenty one year old 147 00:08:04,400 --> 00:08:07,800 Speaker 1: son said, woe, it's it's toxic. I don't go near it, 148 00:08:07,840 --> 00:08:11,000 Speaker 1: and that was an interesting clue. I think the key 149 00:08:11,040 --> 00:08:14,680 Speaker 1: here is to recognize that this is a Chinese owned 150 00:08:14,920 --> 00:08:20,000 Speaker 1: app powered by artificial intelligence that is incredibly appealing and 151 00:08:20,120 --> 00:08:25,280 Speaker 1: indeed addictive to teenagers, and half of American teenagers have 152 00:08:25,560 --> 00:08:30,480 Speaker 1: used TikTok. When they use it, what they're doing is 153 00:08:30,600 --> 00:08:35,400 Speaker 1: essentially providing the app with data, and the app also 154 00:08:35,559 --> 00:08:38,640 Speaker 1: looks for other data about them. It doesn't just sit 155 00:08:38,679 --> 00:08:43,000 Speaker 1: there passively. We know from other reports that that TikTok 156 00:08:43,360 --> 00:08:47,559 Speaker 1: is pretty good, rather like Facebook getting data about users 157 00:08:47,600 --> 00:08:50,560 Speaker 1: from any source it can online. And so the key 158 00:08:50,679 --> 00:08:54,600 Speaker 1: argument here is that we've essentially created a portal are 159 00:08:54,640 --> 00:08:57,320 Speaker 1: allowed to be created, the portal through which young Americans 160 00:08:57,400 --> 00:09:03,000 Speaker 1: provide all kinds of personal data, potentially embarrassing even compromising 161 00:09:03,080 --> 00:09:05,800 Speaker 1: data to a Chinese controlled app. And the critical point 162 00:09:05,920 --> 00:09:09,600 Speaker 1: is that TikTok is owned by a Chinese company, byite Dance, 163 00:09:09,920 --> 00:09:13,800 Speaker 1: and any Chinese internet company is legally obliged to make 164 00:09:13,920 --> 00:09:17,640 Speaker 1: data all data available to the Chinese government, that is, 165 00:09:17,679 --> 00:09:20,920 Speaker 1: the Chinese Communist Party. And that's why this apparently silly 166 00:09:20,960 --> 00:09:25,480 Speaker 1: trivial app actually is a problem, and we can't simply 167 00:09:25,600 --> 00:09:28,320 Speaker 1: let it carry on the way it is, which is 168 00:09:28,880 --> 00:09:34,320 Speaker 1: essentially becoming the most popular app amongst amongst young Americans. 169 00:09:34,360 --> 00:09:37,520 Speaker 1: So neil I believe TikTok's response would be, hey, all 170 00:09:37,559 --> 00:09:40,600 Speaker 1: of the data is on servers. None of those servers 171 00:09:40,679 --> 00:09:46,800 Speaker 1: are in China. Um is that a valid kind of response. No, 172 00:09:46,880 --> 00:09:50,040 Speaker 1: it's not, because it doesn't really matter where the servers are. 173 00:09:50,240 --> 00:09:54,440 Speaker 1: If if she didn't, Pink calls up Uh and says, hey, 174 00:09:54,960 --> 00:09:59,440 Speaker 1: we want to check out data on X because bite 175 00:09:59,520 --> 00:10:03,880 Speaker 1: dance is compelled by Chinese law to to to comply, 176 00:10:04,200 --> 00:10:07,000 Speaker 1: then there would be no There would be no way 177 00:10:07,000 --> 00:10:10,000 Speaker 1: of their saying no. I mean, I think to be fair. 178 00:10:10,080 --> 00:10:13,079 Speaker 1: John J. Ming, who is the founder of bike Dance 179 00:10:13,160 --> 00:10:17,000 Speaker 1: and who had the vision to see TikTok's potential, you know, 180 00:10:17,080 --> 00:10:20,800 Speaker 1: he gets a lot of credit as an entrepreneur and visionary. 181 00:10:20,920 --> 00:10:24,199 Speaker 1: Facebook failed to make an app as good as this. 182 00:10:24,320 --> 00:10:26,920 Speaker 1: Facebook was trying to get video right, and it missed 183 00:10:26,960 --> 00:10:29,440 Speaker 1: the key point, which is that if you just let 184 00:10:30,040 --> 00:10:33,520 Speaker 1: users do the content and let the AI pick the 185 00:10:33,559 --> 00:10:36,040 Speaker 1: best content, you'll crush it. So you've got to give 186 00:10:36,120 --> 00:10:38,280 Speaker 1: him credit as an entrepreneur, and you should give him 187 00:10:38,280 --> 00:10:42,760 Speaker 1: credit also because I don't think personally he is an authoritarian. 188 00:10:42,880 --> 00:10:45,719 Speaker 1: But the reality is he's a Chinese citizen. It's a 189 00:10:45,800 --> 00:10:48,440 Speaker 1: Chinese company, the Chinese Communist Party. What's the data, It 190 00:10:48,440 --> 00:10:51,079 Speaker 1: doesn't matter where the servers are. And by the way, 191 00:10:51,320 --> 00:10:55,280 Speaker 1: you know TikTok says and it's user agreement that if 192 00:10:55,320 --> 00:10:59,240 Speaker 1: you hand over data then its parent company bike Dance 193 00:10:59,240 --> 00:11:01,760 Speaker 1: will have access the data. So they are open about that, 194 00:11:02,200 --> 00:11:04,240 Speaker 1: and now I think is the crux of the matter. 195 00:11:04,400 --> 00:11:06,280 Speaker 1: Although as you say, you know this has to be 196 00:11:06,360 --> 00:11:09,040 Speaker 1: seen in a broader context. I think I would be 197 00:11:09,120 --> 00:11:11,880 Speaker 1: less exercised about all this if it wasn't for the 198 00:11:11,920 --> 00:11:15,200 Speaker 1: fact that we know China is now engaged in a 199 00:11:15,280 --> 00:11:21,480 Speaker 1: pretty active campaign online and offline to exert influence in 200 00:11:21,520 --> 00:11:24,560 Speaker 1: American culture. Really the way the Russians did back in 201 00:11:24,600 --> 00:11:29,079 Speaker 1: twenty sixteen and We've seen active efforts by the Chinese 202 00:11:29,120 --> 00:11:34,199 Speaker 1: government on Twitter on other platforms too, so disinformation about 203 00:11:34,200 --> 00:11:37,320 Speaker 1: COVID nineteen. So this has to be seen in that context. 204 00:11:37,640 --> 00:11:40,280 Speaker 1: It's not as if the Chinese government is playing no 205 00:11:40,920 --> 00:11:44,280 Speaker 1: part in our culture war. It is actively involved in 206 00:11:44,320 --> 00:11:49,280 Speaker 1: trying to sow disinformation in American public discourse. Neil, we 207 00:11:49,559 --> 00:11:53,520 Speaker 1: finally have a tickets in Joe Biden, Kamala Harris. If 208 00:11:53,720 --> 00:11:57,400 Speaker 1: that turns out to be the next you know, inhabitants 209 00:11:57,440 --> 00:12:01,280 Speaker 1: of the White House and the of All Office, and 210 00:12:01,559 --> 00:12:03,560 Speaker 1: you know various wings of the West of the West 211 00:12:03,600 --> 00:12:06,360 Speaker 1: Wing and the East Wing, and so what have you. 212 00:12:06,559 --> 00:12:10,360 Speaker 1: What happens with the China relationship, Well, I think from 213 00:12:10,440 --> 00:12:15,720 Speaker 1: the vantage points of China, Biden presidency has become a 214 00:12:15,760 --> 00:12:19,400 Speaker 1: lot more repealing than a continuation of the Trump presidency, 215 00:12:19,480 --> 00:12:22,800 Speaker 1: because although Donald Trump started off trying to have a 216 00:12:22,880 --> 00:12:26,160 Speaker 1: close personal relationship with t and thing, since the trade 217 00:12:26,160 --> 00:12:30,560 Speaker 1: war started in ten things have gone rapidly downhill. And 218 00:12:30,600 --> 00:12:34,040 Speaker 1: I argued at the beginning of last year that we 219 00:12:34,040 --> 00:12:36,120 Speaker 1: were in Cold War two and we should, you know, 220 00:12:36,160 --> 00:12:39,600 Speaker 1: stop kidding ourselves. So I think from the Chinese vantage point, 221 00:12:39,960 --> 00:12:42,400 Speaker 1: they just want to get through to November three and 222 00:12:42,520 --> 00:12:47,040 Speaker 1: hope that that they get an altogether less hawkish president. 223 00:12:47,280 --> 00:12:50,440 Speaker 1: Kamala Harris is an interesting pick for Biden. I think 224 00:12:50,440 --> 00:12:53,839 Speaker 1: from the vantage point of the tech sector, it's a 225 00:12:53,960 --> 00:12:56,920 Speaker 1: kind of sigh of relief because although she's been known 226 00:12:56,960 --> 00:13:00,240 Speaker 1: for her pretty aggressive questioning on Congressional committe he is 227 00:13:00,280 --> 00:13:03,400 Speaker 1: in truth, I think she is as friendly a vice 228 00:13:03,440 --> 00:13:06,720 Speaker 1: presidential candidate a Silicon Valley could have hoped for. So 229 00:13:06,840 --> 00:13:08,839 Speaker 1: from that point of view, I think the risk of 230 00:13:08,880 --> 00:13:13,640 Speaker 1: aggressive antitrust and other actions probably goes down if Biden 231 00:13:13,679 --> 00:13:16,000 Speaker 1: Harris is the winning ticket. Neil, we just had the 232 00:13:16,000 --> 00:13:18,480 Speaker 1: president's call reporters into the Oval office and we will 233 00:13:18,520 --> 00:13:20,560 Speaker 1: could likely be hearing from him in a few moments. 234 00:13:20,600 --> 00:13:23,679 Speaker 1: But there is a headline now that there is an 235 00:13:23,840 --> 00:13:28,200 Speaker 1: historic deal to normalize relations between Israel and the United 236 00:13:28,280 --> 00:13:31,160 Speaker 1: Arab Emirates. I'm curious as to your thoughts about how 237 00:13:31,160 --> 00:13:33,720 Speaker 1: the Middle East will be reshaped, if at all, given 238 00:13:34,520 --> 00:13:38,520 Speaker 1: that Israel has this new normalized relationship apparently with the 239 00:13:38,559 --> 00:13:42,360 Speaker 1: United Arab Emirates. Well, this has been kind of cooking 240 00:13:42,480 --> 00:13:46,920 Speaker 1: quietly for a while. Most attention has been elsewhere, and 241 00:13:46,960 --> 00:13:51,000 Speaker 1: of course substantial sections the media are skeptical about the 242 00:13:51,040 --> 00:13:54,760 Speaker 1: President's Middle East policy and have been from the very outset, 243 00:13:54,880 --> 00:13:58,440 Speaker 1: But in reality, there's been a massive realignment in the 244 00:13:58,520 --> 00:14:01,480 Speaker 1: region in the last three and years, and I think 245 00:14:01,480 --> 00:14:05,240 Speaker 1: the Trump administration has done something at least to contribute 246 00:14:05,240 --> 00:14:08,000 Speaker 1: to that, the main alignment being but a whole bunch 247 00:14:08,080 --> 00:14:11,160 Speaker 1: of our countries, led by the U a E. Have 248 00:14:11,320 --> 00:14:16,880 Speaker 1: been looking to normalize relations with Israel and focus regional 249 00:14:17,480 --> 00:14:21,480 Speaker 1: security policy on Iran, which poses a threat not only 250 00:14:21,560 --> 00:14:25,240 Speaker 1: to Israel but two Sunni majority states. So I think 251 00:14:25,280 --> 00:14:28,240 Speaker 1: this is important and I think it actually is a 252 00:14:28,280 --> 00:14:31,200 Speaker 1: success for President Trump. That don't expect to read that 253 00:14:31,320 --> 00:14:33,720 Speaker 1: in the New York Times of the Washington Post this week. 254 00:14:34,440 --> 00:14:38,320 Speaker 1: Neil Ferguson, senior fellow at Hoover Institution and a Bloomberg 255 00:14:38,320 --> 00:14:44,000 Speaker 1: opinion calumnist. A m C right there reopening and it's 256 00:14:44,000 --> 00:14:46,080 Speaker 1: been a big story this morning. Mark Lazie the other 257 00:14:46,120 --> 00:14:48,160 Speaker 1: day talking about how he was looking at a MCS 258 00:14:48,280 --> 00:14:52,160 Speaker 1: secured debt. And that's what I want to start with 259 00:14:52,200 --> 00:14:55,480 Speaker 1: when I bring in Sally Bakewell, who's a corporate finance reporter, 260 00:14:55,640 --> 00:14:57,880 Speaker 1: because one of her stories in the last couple of days, 261 00:14:58,040 --> 00:15:00,160 Speaker 1: most of America is being shot out of the great 262 00:15:00,320 --> 00:15:03,520 Speaker 1: borrowing binge. Ever, and this is why Mark Lazie is 263 00:15:03,560 --> 00:15:07,760 Speaker 1: looking at the types of things like AMC secured debt. Sally, 264 00:15:07,880 --> 00:15:11,200 Speaker 1: tell us what exactly you mean by the fact that many, 265 00:15:11,240 --> 00:15:15,880 Speaker 1: many great companies are actually not able to borrow these days, Hi, Funnie. Yeah, 266 00:15:15,880 --> 00:15:18,240 Speaker 1: AMC is actually a really great example that you bring 267 00:15:18,360 --> 00:15:22,760 Speaker 1: up there, because like a number of companies airlines, hotels, 268 00:15:23,280 --> 00:15:27,320 Speaker 1: cruise lines, it's been absolutely devastated or it had been 269 00:15:27,320 --> 00:15:29,960 Speaker 1: devastated by the virus. The virus of course whites out 270 00:15:30,400 --> 00:15:35,320 Speaker 1: the revenue of it and many consumer facing companies UM. 271 00:15:35,320 --> 00:15:38,080 Speaker 1: And what they've been able to do, however, because they're 272 00:15:38,120 --> 00:15:41,080 Speaker 1: big companies that can tack the bond market is go 273 00:15:41,360 --> 00:15:45,440 Speaker 1: straight there and they've found willing invested to pay debt 274 00:15:45,760 --> 00:15:50,280 Speaker 1: because the debt markets have effectively been back stopped by 275 00:15:50,400 --> 00:15:55,800 Speaker 1: the vast kind of Federal reserve guerrilla UM and it's 276 00:15:55,840 --> 00:15:58,680 Speaker 1: pledged to use it near limitless balance sheet to buy 277 00:15:58,720 --> 00:16:02,120 Speaker 1: corporate bonds, and so that hasn't enabled all these companies 278 00:16:02,280 --> 00:16:06,920 Speaker 1: kind of almost without too much discrimination, all of them 279 00:16:06,920 --> 00:16:09,280 Speaker 1: have been able to hit the bond market. And we 280 00:16:09,360 --> 00:16:14,400 Speaker 1: saw another fantastic example of the kind of limitless nature 281 00:16:14,440 --> 00:16:18,440 Speaker 1: of it today with Apple, which is of course of 282 00:16:18,840 --> 00:16:21,760 Speaker 1: a great blue ship company that would lenders would fall 283 00:16:21,760 --> 00:16:24,520 Speaker 1: over themselves to Lento. But it's it's in the same 284 00:16:24,800 --> 00:16:27,360 Speaker 1: group of big companies. They can hit the bond market, 285 00:16:27,440 --> 00:16:30,280 Speaker 1: bond market no matter what, UM. But on the other 286 00:16:30,400 --> 00:16:35,160 Speaker 1: side of that, that kind of tremendous liquidity opportunity is 287 00:16:35,240 --> 00:16:39,000 Speaker 1: not mirrored for smaller firms, and that's how we're getting 288 00:16:39,000 --> 00:16:41,560 Speaker 1: the fact that they're missing out. Yeah. So sadly, the 289 00:16:41,560 --> 00:16:44,800 Speaker 1: smaller firms, mid sized firms, they depend less on the 290 00:16:44,840 --> 00:16:48,960 Speaker 1: capital markets, more on their local banks. Are are bank lenders, 291 00:16:49,640 --> 00:16:53,040 Speaker 1: and I guess they're being prudent saying, boy, in this pandemic, 292 00:16:53,080 --> 00:16:57,000 Speaker 1: I gotta be tighter on my credit standards. Is that 293 00:16:57,080 --> 00:17:00,760 Speaker 1: kind of what's happening here? Absolutely, that's what's happening. UM. 294 00:17:00,960 --> 00:17:05,000 Speaker 1: There was a recent loan officers survey of UM some 295 00:17:05,040 --> 00:17:08,240 Speaker 1: of the biggest banks where they found that loans have 296 00:17:08,400 --> 00:17:11,760 Speaker 1: been tightening at the fastest pace or at the most 297 00:17:12,000 --> 00:17:15,520 Speaker 1: since at least the financial crisis, and prices have gone 298 00:17:15,600 --> 00:17:19,240 Speaker 1: up to so for smaller companies, they can't access the 299 00:17:19,280 --> 00:17:23,440 Speaker 1: bond market, where this enormous amount of liquidity is squashing around, UM, 300 00:17:23,480 --> 00:17:26,760 Speaker 1: and it's harder for them to get loan. Now, on 301 00:17:26,840 --> 00:17:30,439 Speaker 1: the flip side, the Federal Reserve has come up with 302 00:17:30,480 --> 00:17:34,639 Speaker 1: these other lending programs. It has the main Street Lending program, 303 00:17:34,680 --> 00:17:38,240 Speaker 1: it has the Paycheck Protection program. But those have drawn 304 00:17:38,280 --> 00:17:43,359 Speaker 1: criticisms for being quite difficult to access, for being complex. 305 00:17:43,680 --> 00:17:47,000 Speaker 1: And actually, Paul, you raised that point. Banks don't necessarily 306 00:17:47,040 --> 00:17:51,000 Speaker 1: want to be involved in them because they don't feel 307 00:17:51,000 --> 00:17:54,080 Speaker 1: that they're being compensated for the risk of lending to 308 00:17:54,200 --> 00:17:57,560 Speaker 1: companies that potentially if you don't know if they will 309 00:17:57,600 --> 00:18:01,960 Speaker 1: be around in the next year, Sally, what happens to 310 00:18:02,040 --> 00:18:04,040 Speaker 1: these companies you just said they may not be around 311 00:18:04,040 --> 00:18:06,560 Speaker 1: in the next year. But there are also options like, 312 00:18:06,680 --> 00:18:11,680 Speaker 1: for example, going to quote unquote vulture investors. Right, yeah, 313 00:18:11,720 --> 00:18:14,800 Speaker 1: and that is another world, um, that we are seeing 314 00:18:14,960 --> 00:18:19,080 Speaker 1: varying degrees of activity. Um. Of course, there are all 315 00:18:19,160 --> 00:18:22,840 Speaker 1: the direct lenders, there are the distressed funds UM to 316 00:18:23,040 --> 00:18:26,639 Speaker 1: varying degrees. They are jumping in opportunities. But you know 317 00:18:26,720 --> 00:18:30,760 Speaker 1: that comes at the price too, So it's it's there 318 00:18:30,880 --> 00:18:33,199 Speaker 1: is money there, but you probably have to pay up 319 00:18:33,240 --> 00:18:36,480 Speaker 1: for it, um. And but a lot of firms a 320 00:18:36,480 --> 00:18:41,200 Speaker 1: lot of investors are definitely seizing on on that opportunity 321 00:18:41,280 --> 00:18:45,679 Speaker 1: as other lenders for trend so sally. This kind of 322 00:18:45,680 --> 00:18:48,840 Speaker 1: causing the question again the role of the bank, the 323 00:18:48,920 --> 00:18:52,399 Speaker 1: local bank. This is the time when their customers really 324 00:18:52,720 --> 00:18:57,800 Speaker 1: need them. What are the banks say they are? I 325 00:18:57,880 --> 00:19:01,040 Speaker 1: think they're a bit tied, because of course they have 326 00:19:01,240 --> 00:19:05,240 Speaker 1: to be more risk averse. They are building up their 327 00:19:05,320 --> 00:19:09,719 Speaker 1: lost provisions because they know what well they know that 328 00:19:09,760 --> 00:19:13,080 Speaker 1: we don't know, um what exactly is down the road. 329 00:19:13,280 --> 00:19:16,399 Speaker 1: And after the last financial crisis, which they were the 330 00:19:16,440 --> 00:19:20,360 Speaker 1: epicenter of, they of course have become a lot more 331 00:19:20,480 --> 00:19:24,320 Speaker 1: risk averse. Um. But then they are under this kind 332 00:19:24,359 --> 00:19:27,120 Speaker 1: of pressure from the Federal Reserve two, which is trying 333 00:19:27,160 --> 00:19:29,720 Speaker 1: to coax them to lend to these small and medium 334 00:19:29,720 --> 00:19:32,199 Speaker 1: sized firms, which is so important to the economy. And 335 00:19:32,240 --> 00:19:35,040 Speaker 1: of course you know it's it's important for banks too 336 00:19:35,040 --> 00:19:38,399 Speaker 1: that those firms thrive. Um. But I think you know, 337 00:19:38,400 --> 00:19:41,040 Speaker 1: when I was talking to people for this story, um, 338 00:19:41,080 --> 00:19:44,320 Speaker 1: they said, you know, if you're a good customer, um, 339 00:19:44,359 --> 00:19:47,840 Speaker 1: without too much risk, you know, people might banks don't 340 00:19:47,880 --> 00:19:51,040 Speaker 1: necessarily want to lend to you anyway. They want to 341 00:19:51,080 --> 00:19:54,679 Speaker 1: get the fees they want to get the sort of 342 00:19:55,280 --> 00:19:57,679 Speaker 1: you know, higher interest rates, so you know they're in 343 00:19:57,680 --> 00:20:00,920 Speaker 1: a tight spot for sure. Yeah, exactly, Sally Bakeball, thanks 344 00:20:00,920 --> 00:20:03,560 Speaker 1: so much for joining us. Really appreciate a fascinating story here. Again, 345 00:20:03,640 --> 00:20:06,119 Speaker 1: big companies like Apple and so on barring and historically 346 00:20:06,160 --> 00:20:08,120 Speaker 1: low rates, but a lot of small and midsized businesses 347 00:20:08,440 --> 00:20:11,600 Speaker 1: really finding it hard to get credit here in this pandemic, 348 00:20:11,640 --> 00:20:18,240 Speaker 1: so fascinating story. Sally Bakewell, corporate financial reporter for Bloomberg News. Well, 349 00:20:18,280 --> 00:20:20,040 Speaker 1: it is going to be a slightly different back to 350 00:20:20,080 --> 00:20:23,120 Speaker 1: school retail season this year, if it exists at all. 351 00:20:23,280 --> 00:20:26,960 Speaker 1: Let's ask somebody who has been following this and presumably 352 00:20:27,119 --> 00:20:30,960 Speaker 1: has some data and at least much much better informed 353 00:20:31,040 --> 00:20:34,080 Speaker 1: about what's going on out there than me. Arthur Zachowitz 354 00:20:34,520 --> 00:20:37,719 Speaker 1: is Women's Where Daily executive editor. Arthur, thank you so 355 00:20:37,840 --> 00:20:40,920 Speaker 1: much for joining us. What are you seeing this August 356 00:20:40,920 --> 00:20:43,120 Speaker 1: as we know approach what would have been a new 357 00:20:43,160 --> 00:20:47,359 Speaker 1: school year. Well, well, thanks for having me first. You know, 358 00:20:47,440 --> 00:20:49,600 Speaker 1: I think what we're seeing is a lot of uncertainty 359 00:20:49,680 --> 00:20:53,560 Speaker 1: and caution. Right, So, the National Retail Federation put ups 360 00:20:53,560 --> 00:20:56,080 Speaker 1: some of you know, kind of estimates on back to 361 00:20:56,119 --> 00:20:58,880 Speaker 1: school and they're looking at almost thirty four billion dollars 362 00:20:59,480 --> 00:21:03,359 Speaker 1: impact sales versus twenty six billion last year, and the 363 00:21:03,359 --> 00:21:05,359 Speaker 1: pulp bulk of that is is about ten billion in 364 00:21:05,440 --> 00:21:08,240 Speaker 1: online sales. But you know, honestly, you know, I think 365 00:21:08,280 --> 00:21:11,199 Speaker 1: that's kind of magical thinking, given you know what's occurring 366 00:21:11,200 --> 00:21:13,480 Speaker 1: in the market right now. Yeah, Arthur, I mean, do 367 00:21:13,520 --> 00:21:16,840 Speaker 1: we even have a sense of what percentage of KATE 368 00:21:16,960 --> 00:21:19,719 Speaker 1: through twelve students in the US will actually be going 369 00:21:19,760 --> 00:21:23,359 Speaker 1: back physically to school as opposed to remote learning? Yet again, 370 00:21:23,359 --> 00:21:24,920 Speaker 1: I know some parts of the South and the West 371 00:21:24,960 --> 00:21:27,119 Speaker 1: have actually and they have gone back to school, but 372 00:21:27,200 --> 00:21:30,040 Speaker 1: we have a sense of what percentage nationwide. Uh, you know, 373 00:21:30,040 --> 00:21:32,000 Speaker 1: I don't know that that's a great question. I know 374 00:21:32,080 --> 00:21:35,520 Speaker 1: that you know, there are plans in place in certain states, say, 375 00:21:35,760 --> 00:21:38,800 Speaker 1: you know, like New York, for example, has three different scenarios, 376 00:21:39,119 --> 00:21:41,280 Speaker 1: you know, with many of the schools, and they just decided, 377 00:21:41,680 --> 00:21:43,560 Speaker 1: you know, a couple of school districts in uh in 378 00:21:43,600 --> 00:21:47,359 Speaker 1: the Hudson Valley for example, just decided to do online only. 379 00:21:47,400 --> 00:21:49,720 Speaker 1: So we don't really know, and that's part of the uncertainty. 380 00:21:50,280 --> 00:21:52,359 Speaker 1: I think that you know, you're seeing Plus you know, 381 00:21:52,400 --> 00:21:55,240 Speaker 1: we heard I think New Roman may excuse me, new 382 00:21:55,359 --> 00:21:58,800 Speaker 1: brands said that they're a little um, you know, cautious 383 00:21:58,840 --> 00:22:01,240 Speaker 1: because the consumer's caution and just you know, as far 384 00:22:01,320 --> 00:22:03,120 Speaker 1: as like what to buy in the shopping lists haven't 385 00:22:03,200 --> 00:22:06,200 Speaker 1: even come through for a lot of school districts across 386 00:22:06,240 --> 00:22:10,199 Speaker 1: the country. So this uncertainty again in the market. What 387 00:22:10,520 --> 00:22:13,160 Speaker 1: runs are you hearing from that are very concerned about 388 00:22:13,160 --> 00:22:17,239 Speaker 1: their future? Arthur Well, I think, um, you know, we've 389 00:22:17,240 --> 00:22:19,960 Speaker 1: seen a lot of retail bankruptcies. Obviously, it seems like 390 00:22:19,960 --> 00:22:22,919 Speaker 1: every other day there's another retailer going out of business. 391 00:22:22,960 --> 00:22:25,400 Speaker 1: And and what's driving that is you know a lot 392 00:22:25,480 --> 00:22:29,840 Speaker 1: of you know, online sales and a reluctance like consumers 393 00:22:29,880 --> 00:22:32,800 Speaker 1: to go into physical stores. But you know, as far 394 00:22:32,840 --> 00:22:34,960 Speaker 1: as like who's gonna you know, play out the best 395 00:22:35,640 --> 00:22:38,080 Speaker 1: through the holidays and through you know, back to school, 396 00:22:38,560 --> 00:22:41,280 Speaker 1: I think Target is is well positioned, right, That's that 397 00:22:41,480 --> 00:22:44,000 Speaker 1: sort of that one stuff shop. You know that moms 398 00:22:44,080 --> 00:22:48,879 Speaker 1: feels comfortable you know, getting essentials, getting food, getting you know, apparel, 399 00:22:49,040 --> 00:22:51,320 Speaker 1: getting gifts. Uh, you know, they could go in and 400 00:22:51,320 --> 00:22:54,040 Speaker 1: out in a relatively you know, safe environment that they're 401 00:22:54,080 --> 00:22:56,720 Speaker 1: familiar with. But you know, everyone else this is a 402 00:22:57,400 --> 00:22:59,919 Speaker 1: challenging time. You know, if if you're not you know, 403 00:23:00,080 --> 00:23:04,080 Speaker 1: a brand that has a real strong connection to the consumer, 404 00:23:05,080 --> 00:23:07,560 Speaker 1: you're gonna have difficulties. I think moving forward, you know, 405 00:23:07,720 --> 00:23:10,879 Speaker 1: I think look look at Walmart recently label with their 406 00:23:10,920 --> 00:23:14,160 Speaker 1: guidance based on the uncertainty of back to school. So 407 00:23:14,240 --> 00:23:16,560 Speaker 1: you know, it's it's unclear as far as you know, 408 00:23:16,560 --> 00:23:19,040 Speaker 1: how this plays out in the future. Also, you know, 409 00:23:19,280 --> 00:23:21,359 Speaker 1: there's an interesting thing going all right, we have an 410 00:23:21,359 --> 00:23:24,440 Speaker 1: election year, which is creates uncertainty, right, we have the 411 00:23:24,520 --> 00:23:28,439 Speaker 1: pandemic which is ongoing. We have we're in a recession, right, 412 00:23:28,520 --> 00:23:30,720 Speaker 1: and then we have consumer anxiety on top of that. 413 00:23:30,800 --> 00:23:33,800 Speaker 1: So you know, it's a it's a perfect storm for 414 00:23:34,400 --> 00:23:37,560 Speaker 1: um creating shoppers who maybe want to be more frugal 415 00:23:37,600 --> 00:23:40,679 Speaker 1: and pull back on spending. So Arthur, what our parents 416 00:23:40,720 --> 00:23:42,760 Speaker 1: actually gonna be buying here in this back to school 417 00:23:42,880 --> 00:23:48,440 Speaker 1: is just just you know, mass and wipes and hand sanitizer. Sure, 418 00:23:48,480 --> 00:23:50,480 Speaker 1: because the safety it is first, right, So for the 419 00:23:50,520 --> 00:23:53,199 Speaker 1: kids going back, you know, it's still safety items, uh, 420 00:23:53,240 --> 00:23:54,960 Speaker 1: and you got to carry that stuff in something. So 421 00:23:55,040 --> 00:23:57,280 Speaker 1: I think backpacks, you know, you'll you'll see you know, 422 00:23:57,280 --> 00:24:01,280 Speaker 1: those traditional categories supposed to regular school supplies. You know, 423 00:24:01,280 --> 00:24:03,440 Speaker 1: as far as the peril is concerned. You know kids, 424 00:24:03,720 --> 00:24:05,640 Speaker 1: you know, if you're going physically back to school, they 425 00:24:05,680 --> 00:24:07,800 Speaker 1: tend that tends to come later. You know, they kind 426 00:24:07,800 --> 00:24:10,280 Speaker 1: of go into school and then they look, you know, 427 00:24:10,320 --> 00:24:12,119 Speaker 1: to see what everybody else is wearing and what the 428 00:24:12,119 --> 00:24:14,159 Speaker 1: trends are. And then they come back and you know 429 00:24:14,280 --> 00:24:18,080 Speaker 1: take mom uh either while online mostly and say I 430 00:24:18,119 --> 00:24:20,359 Speaker 1: want this, this and that, you know, and there's there's 431 00:24:20,359 --> 00:24:23,320 Speaker 1: some really interesting stuff going on right now. You know, 432 00:24:23,359 --> 00:24:25,440 Speaker 1: as far as like tweens. You know, I think Pup 433 00:24:25,440 --> 00:24:29,120 Speaker 1: Sugar Iss teams up with Old Navy. That's interesting. Um 434 00:24:29,400 --> 00:24:32,280 Speaker 1: Oshkosh Bagash is that you know that the the the 435 00:24:32,359 --> 00:24:34,600 Speaker 1: overall company, right, so they they're still being on in 436 00:24:34,600 --> 00:24:38,120 Speaker 1: twenty five years and they're launching a collection actually um 437 00:24:38,160 --> 00:24:40,960 Speaker 1: to red. You know they used to uh have adult stuff, 438 00:24:41,040 --> 00:24:43,040 Speaker 1: right so now they really introduced that so the whole 439 00:24:43,040 --> 00:24:46,040 Speaker 1: family could wear you know co uh you know cover rolls. 440 00:24:46,040 --> 00:24:49,439 Speaker 1: So that that's interesting. It's fun. But you know, um, 441 00:24:49,560 --> 00:24:51,479 Speaker 1: as far as like the staples are concerned, as far 442 00:24:51,520 --> 00:24:53,560 Speaker 1: as like apparel, you know, I think you'll see Nike 443 00:24:53,760 --> 00:24:57,160 Speaker 1: and um you know in brands that that offer active prayer, 444 00:24:57,720 --> 00:25:00,400 Speaker 1: uh and essentials too, like you know, shopping on targets 445 00:25:00,400 --> 00:25:03,320 Speaker 1: for example, you'll see printed T shirts as far as 446 00:25:03,720 --> 00:25:07,080 Speaker 1: you know from any brand really doing well. What about 447 00:25:07,080 --> 00:25:10,119 Speaker 1: the luxury brands? I mean, you know, and this wouldn't 448 00:25:10,160 --> 00:25:12,639 Speaker 1: just be for luxury customers. I mean put plenty of 449 00:25:12,720 --> 00:25:15,400 Speaker 1: youngsters out there, you know, save all you're just by 450 00:25:15,440 --> 00:25:17,359 Speaker 1: their yeasies or what. How do you you know that 451 00:25:17,520 --> 00:25:20,600 Speaker 1: the next drop will there still be drops for brands 452 00:25:20,680 --> 00:25:23,439 Speaker 1: like that? I think? So I think that that's going 453 00:25:23,480 --> 00:25:26,199 Speaker 1: to be a challenge because of all this uncertain it. 454 00:25:26,200 --> 00:25:30,080 Speaker 1: It's kind of a clouded market and it's everybody's getting bombarded, right, 455 00:25:30,119 --> 00:25:33,280 Speaker 1: so so things think about you, you've spent since last spring, 456 00:25:33,880 --> 00:25:36,159 Speaker 1: you know, hold up in your home with your family. 457 00:25:36,840 --> 00:25:39,720 Speaker 1: You've been bombarded with you know, a lot of director 458 00:25:39,760 --> 00:25:42,520 Speaker 1: consumer marketing firm brands themselves. So so how do you 459 00:25:42,680 --> 00:25:45,040 Speaker 1: cut through the clutter? You know? And the luxury brands, 460 00:25:45,400 --> 00:25:47,399 Speaker 1: you know, do that they have their loyal following. But 461 00:25:48,000 --> 00:25:49,920 Speaker 1: you know, there's a lot of research out there just 462 00:25:50,080 --> 00:25:53,399 Speaker 1: recently from uh, you know, de Lloyd and other companies 463 00:25:53,440 --> 00:25:56,800 Speaker 1: Adobe that kind of shows that that shop is particularly 464 00:25:56,960 --> 00:26:00,200 Speaker 1: you know, gen Z and millennials are have tried new 465 00:26:00,320 --> 00:26:04,120 Speaker 1: brands during COVID right, so they're moving away, so there's 466 00:26:04,320 --> 00:26:06,879 Speaker 1: a little bit less loyalty and because this stuck or 467 00:26:06,920 --> 00:26:08,800 Speaker 1: something they was stuck in behind, they were like, I'll 468 00:26:08,840 --> 00:26:11,920 Speaker 1: give that a shot. So if you'll luxury branding new 469 00:26:11,960 --> 00:26:14,520 Speaker 1: youth to that, yea, you know, I don't know. Arthur, 470 00:26:14,600 --> 00:26:16,320 Speaker 1: Thank you so much for joining us. We always appreciate 471 00:26:16,359 --> 00:26:19,960 Speaker 1: your thoughts into the retail space. Arthur Zechowitz, executive editor, 472 00:26:20,000 --> 00:26:22,080 Speaker 1: Woman's Where Daily, giving us his thoughts say, back to 473 00:26:22,160 --> 00:26:25,880 Speaker 1: school really key for retailers. A lot of uncertainty this year. 474 00:26:25,920 --> 00:26:28,600 Speaker 1: We'll see how it plays out for the retail space. 475 00:26:30,000 --> 00:26:32,600 Speaker 1: Thanks for listening to the Boomberg Markets podcast. You can 476 00:26:32,680 --> 00:26:36,359 Speaker 1: subscribe and listen to interviews at Apple Podcasts or whatever 477 00:26:36,560 --> 00:26:39,879 Speaker 1: podcast platform you prefer. I'm Bonnie Quinn. I'm on Twitter 478 00:26:40,119 --> 00:26:42,400 Speaker 1: at Bonnie Quinn, and I'm Paul Sweeney. I'm on Twitter 479 00:26:42,520 --> 00:26:45,320 Speaker 1: at pt Sweeney. Before the podcast, you can always catch 480 00:26:45,440 --> 00:26:46,960 Speaker 1: us worldwide at Bloomberg Radio.