1 00:00:00,720 --> 00:00:03,760 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:03,840 --> 00:00:06,320 Speaker 1: Jason Kelly. We're right here every day bringing you the 3 00:00:06,400 --> 00:00:11,200 Speaker 1: latest news from the world's of business and finance, plus technology, politics, economics, 4 00:00:11,280 --> 00:00:14,320 Speaker 1: all harnessing the power of Business Week reporters and editors 5 00:00:14,480 --> 00:00:16,480 Speaker 1: and of course Carol that's part of a team of 6 00:00:16,560 --> 00:00:20,000 Speaker 1: twenty seven hundred journalists and analysts and more than a 7 00:00:20,079 --> 00:00:22,959 Speaker 1: hundred and twenty countries and Jason. You can download Bloomberg 8 00:00:23,000 --> 00:00:26,119 Speaker 1: Business Week on iTunes, SoundCloud, o Bloomberg dot com. You 9 00:00:26,120 --> 00:00:28,280 Speaker 1: can also listen to our radio show at two pm 10 00:00:28,320 --> 00:00:31,200 Speaker 1: Eastern on Bloomberg Radio every weekday, or watch us on 11 00:00:31,240 --> 00:00:36,160 Speaker 1: YouTube by searching Bloomberg Global News. You're listening to Bloomberg 12 00:00:36,159 --> 00:00:42,400 Speaker 1: Business Week with Carol Masser and Jason Kelly on Bloomberg Radio. 13 00:00:42,720 --> 00:00:47,480 Speaker 1: Bomberg Business Week, Yeah, Friday, wrapping up the week, close 14 00:00:47,520 --> 00:00:51,440 Speaker 1: to it. What do you make it this week? Um man? 15 00:00:51,520 --> 00:00:53,480 Speaker 1: I think there's a lot more about kind of getting 16 00:00:53,520 --> 00:00:56,640 Speaker 1: back to work and getting back to normal. I still 17 00:00:56,640 --> 00:00:58,240 Speaker 1: think the city is going to be tricky for us, 18 00:00:58,240 --> 00:01:00,160 Speaker 1: but I think, you know, we hit it off with 19 00:01:00,240 --> 00:01:03,120 Speaker 1: a really smart medical conversation. I think it's in our 20 00:01:03,120 --> 00:01:05,160 Speaker 1: weekend show. But it just you know, Manhattan versus the 21 00:01:05,160 --> 00:01:07,600 Speaker 1: rest of the world. So we know Manhattan's trickier just 22 00:01:07,640 --> 00:01:10,119 Speaker 1: because of the amount of people and just the structure 23 00:01:11,240 --> 00:01:14,240 Speaker 1: of how we work in a very dense city. But 24 00:01:14,319 --> 00:01:16,960 Speaker 1: I do feel up more optimism, and we certainly saw 25 00:01:16,959 --> 00:01:18,920 Speaker 1: it play out in the markets. I mean, the Dow 26 00:01:19,120 --> 00:01:21,320 Speaker 1: up three point seven this week, the S and P 27 00:01:21,600 --> 00:01:23,800 Speaker 1: Jason up more than three percent, and the Now's up 28 00:01:23,840 --> 00:01:27,480 Speaker 1: two percent, so there definitely was some enthusiasm in the markets. 29 00:01:27,520 --> 00:01:30,720 Speaker 1: I do worry though about some of these other tensions, 30 00:01:30,760 --> 00:01:32,240 Speaker 1: but I don't know how much is because it's an 31 00:01:32,240 --> 00:01:35,240 Speaker 1: election year, or how much is some real tensions that 32 00:01:35,319 --> 00:01:39,360 Speaker 1: might complicate the economy bouncing back. Yeah, I worry about 33 00:01:39,400 --> 00:01:41,679 Speaker 1: those tensions too. I mean I worry about the tensions 34 00:01:41,720 --> 00:01:45,440 Speaker 1: that are geopolitical. I worry about the tensions that are domestic, 35 00:01:45,680 --> 00:01:48,400 Speaker 1: you know. I mean, I think we all have watched 36 00:01:48,480 --> 00:01:53,720 Speaker 1: with you know, horror, everything that went on uh in Minnesota, 37 00:01:54,080 --> 00:01:56,120 Speaker 1: and then you know, you sort of factor in the 38 00:01:56,160 --> 00:01:59,760 Speaker 1: social media aspect of this, and you know, Twitter has 39 00:01:59,800 --> 00:02:03,200 Speaker 1: been at the four of all of that. And man, 40 00:02:03,320 --> 00:02:05,680 Speaker 1: do we have the perfect person to talk about that. 41 00:02:05,760 --> 00:02:07,320 Speaker 1: I have to say our next guest, I was gonna 42 00:02:07,560 --> 00:02:10,160 Speaker 1: energize when we talk with him. He's New York Times 43 00:02:10,160 --> 00:02:13,760 Speaker 1: bestseller his book The Four The Hidden DNA of Amazon, Apple, Facebook, 44 00:02:13,760 --> 00:02:16,519 Speaker 1: and Google. He also wrote The Algebra of Happiness, which 45 00:02:16,520 --> 00:02:18,440 Speaker 1: if you have not read you should. You should also 46 00:02:18,520 --> 00:02:22,560 Speaker 1: check out his video that's online. Uh. He's professor at 47 00:02:22,680 --> 00:02:25,200 Speaker 1: n y use Stern School of Business. Delighted to have 48 00:02:25,240 --> 00:02:29,200 Speaker 1: back with us, Scott Galloway, professor as we said, at 49 00:02:29,560 --> 00:02:32,480 Speaker 1: the school. And he's on the phone in Delray Beach, Florida. Scott, 50 00:02:32,680 --> 00:02:34,359 Speaker 1: So nice to have you here with us. How are 51 00:02:34,360 --> 00:02:39,760 Speaker 1: you doing? Has your family, has your team? Everybody? I hope? Okay, um, well, 52 00:02:39,960 --> 00:02:42,000 Speaker 1: thanks very much, Carl. Good to be with you. That's 53 00:02:42,000 --> 00:02:47,000 Speaker 1: a generous question. Yeah, we're all. We're all doing really well. 54 00:02:47,040 --> 00:02:49,480 Speaker 1: I think this is if you're blessed to have a job, 55 00:02:49,560 --> 00:02:51,560 Speaker 1: if you can work from home, if you're healthy, and 56 00:02:51,600 --> 00:02:58,080 Speaker 1: if you're and I check all those boxes, you're doing great. Well. 57 00:02:58,400 --> 00:03:00,359 Speaker 1: Go ahead, Jason, Well, I was just going to say, 58 00:03:00,440 --> 00:03:02,960 Speaker 1: I mean, we were getting ready for this show today, Scott. 59 00:03:03,040 --> 00:03:07,000 Speaker 1: And as a veteran broadcaster podcaster, first of all, as 60 00:03:07,040 --> 00:03:10,000 Speaker 1: an aside, your voice has been in my head all 61 00:03:10,000 --> 00:03:12,280 Speaker 1: week because I've been listening to a phenomenal podcast that 62 00:03:12,320 --> 00:03:14,800 Speaker 1: you contributed to called We Crashed about we Work, And 63 00:03:14,800 --> 00:03:17,080 Speaker 1: maybe we'll talk a little bit about that later. But 64 00:03:17,160 --> 00:03:19,960 Speaker 1: as we were getting ready for the show and watching 65 00:03:20,000 --> 00:03:23,200 Speaker 1: everything that's going on with Twitter this week, both Carol 66 00:03:23,240 --> 00:03:24,920 Speaker 1: and I were saying, we got to get your take 67 00:03:24,960 --> 00:03:28,440 Speaker 1: on this. What's the thing that you're taking away from 68 00:03:28,480 --> 00:03:34,520 Speaker 1: all this sturm and dragging between the President and Twitter. Well, 69 00:03:34,560 --> 00:03:37,160 Speaker 1: so I think I think Twitter's real crime is it 70 00:03:37,280 --> 00:03:40,720 Speaker 1: a share price didn't go up. I think Facebook if 71 00:03:41,000 --> 00:03:43,920 Speaker 1: if Twitter is a dumpster fire of damage to the 72 00:03:43,960 --> 00:03:49,520 Speaker 1: commonwealth and a rage machine, Facebook is a mushroom cloud. 73 00:03:49,560 --> 00:03:52,000 Speaker 1: But Facebook appears who have entered into sort of this 74 00:03:53,800 --> 00:03:57,160 Speaker 1: unholy deal with the President, so it appears that the 75 00:03:57,200 --> 00:04:01,160 Speaker 1: President isn't going after Facebook. I think the opportunity here 76 00:04:01,760 --> 00:04:06,480 Speaker 1: the most elegant regulation his regulation that addresses the externality, 77 00:04:06,520 --> 00:04:09,280 Speaker 1: which is an underlying business model that creates division and 78 00:04:09,320 --> 00:04:12,920 Speaker 1: says hey and team depression and the likes, and at 79 00:04:12,920 --> 00:04:15,400 Speaker 1: the same time unlock shareholder value. I think this is 80 00:04:15,400 --> 00:04:18,960 Speaker 1: an opportunity for Twitter to consider a subscription model. I 81 00:04:19,000 --> 00:04:21,160 Speaker 1: think a large population of us out there who are 82 00:04:21,200 --> 00:04:23,760 Speaker 1: somewhat addicted to Twitter, and organizations to count on it 83 00:04:23,839 --> 00:04:27,000 Speaker 1: to disseminate information would pay money for it. And if 84 00:04:27,000 --> 00:04:28,960 Speaker 1: you look at the three most successful media companies of 85 00:04:29,040 --> 00:04:32,560 Speaker 1: the last ten years, it's Facebook, Google and Netflix. And 86 00:04:32,600 --> 00:04:35,080 Speaker 1: Netflix is not doing damage to our teams or to 87 00:04:35,160 --> 00:04:38,120 Speaker 1: the commonwealth because one is subscription and one is ad driven. 88 00:04:38,160 --> 00:04:41,000 Speaker 1: So I think that's this time to address the underlying 89 00:04:41,080 --> 00:04:43,320 Speaker 1: cancer here and not just the symptoms. And that is 90 00:04:43,360 --> 00:04:45,960 Speaker 1: an ad driven model as opposed to a subscription model. 91 00:04:46,400 --> 00:04:49,000 Speaker 1: And I hope the Twitter board shows some leadership here 92 00:04:49,520 --> 00:04:51,680 Speaker 1: and decides to move to a subscription model because the 93 00:04:51,680 --> 00:04:53,320 Speaker 1: thing that is causing all the problems there is an 94 00:04:53,360 --> 00:04:57,359 Speaker 1: ad base model that encourages rage. Yeah. Well, you know, 95 00:04:57,360 --> 00:04:59,480 Speaker 1: it's interesting. I was thinking about this, Scott, you know, 96 00:04:59,800 --> 00:05:02,400 Speaker 1: the role of social media generally and Twitter in particular. 97 00:05:02,800 --> 00:05:05,920 Speaker 1: You know, is it is it more social you know, 98 00:05:06,120 --> 00:05:08,160 Speaker 1: which means we kind of just let it, let it 99 00:05:08,400 --> 00:05:10,760 Speaker 1: do its thing, or is it more news media you 100 00:05:10,760 --> 00:05:14,279 Speaker 1: know when and that and with that comes responsibilities and accountabilities. 101 00:05:14,320 --> 00:05:15,839 Speaker 1: I mean, I have to say I love that Twitter. 102 00:05:15,880 --> 00:05:17,080 Speaker 1: I feel like funally has a little bit of a 103 00:05:17,080 --> 00:05:19,479 Speaker 1: spine here in terms of saying, there's a lot of 104 00:05:19,480 --> 00:05:21,479 Speaker 1: information out there, but how do you see it? How 105 00:05:21,520 --> 00:05:25,400 Speaker 1: would you teach it to your students? Well, it is 106 00:05:25,440 --> 00:05:28,160 Speaker 1: a media company that osman media companies and media companies 107 00:05:28,240 --> 00:05:31,400 Speaker 1: have a responsibility and they they do try and be 108 00:05:31,480 --> 00:05:33,080 Speaker 1: They said, we don't want to be the arbit of truth. 109 00:05:33,120 --> 00:05:35,400 Speaker 1: And I think most people want our our media firms 110 00:05:35,400 --> 00:05:37,480 Speaker 1: and companies sitting at the helm of the Bob's let 111 00:05:37,480 --> 00:05:40,680 Speaker 1: of information for the population to at least try to 112 00:05:40,720 --> 00:05:43,559 Speaker 1: be the arbiters of truth. And that in fact, truth 113 00:05:43,640 --> 00:05:46,719 Speaker 1: is a thing. And people immediately go to this notion 114 00:05:46,760 --> 00:05:50,039 Speaker 1: of First Amendment. And what you have on Twitter and 115 00:05:50,040 --> 00:05:56,120 Speaker 1: Facebook is that the more incendiary or damaging a statement, 116 00:05:56,600 --> 00:05:59,640 Speaker 1: the more engagement it creates, and thereby more nissan ads, 117 00:05:59,680 --> 00:06:04,880 Speaker 1: more older values. So you have um antivactors, white supremacists, 118 00:06:05,440 --> 00:06:09,120 Speaker 1: conspiracy theorists who who are getting more than their fair 119 00:06:09,120 --> 00:06:11,800 Speaker 1: share of oxygen because of drive shareholder value. And this 120 00:06:11,880 --> 00:06:13,960 Speaker 1: is kind of the mother of all externalities. And if 121 00:06:14,000 --> 00:06:17,159 Speaker 1: you look at the rise of white white supremacy, if 122 00:06:17,200 --> 00:06:19,240 Speaker 1: you look at extreme nationalism, if you look at the 123 00:06:19,240 --> 00:06:23,960 Speaker 1: demonization of immigrants and incidences around hate crimes, if you 124 00:06:24,000 --> 00:06:26,480 Speaker 1: give those that data set and the rise of social media. 125 00:06:26,520 --> 00:06:28,359 Speaker 1: To a statistician here, she will tell you that the 126 00:06:28,360 --> 00:06:32,440 Speaker 1: two are correlated. And so we have an existential threat 127 00:06:32,600 --> 00:06:36,360 Speaker 1: from the largest platforms ever constructed by man that are 128 00:06:36,440 --> 00:06:41,000 Speaker 1: driven based on an algorithm that tears its social social fabric. 129 00:06:41,080 --> 00:06:43,599 Speaker 1: So the key is how do you maintain the great 130 00:06:43,640 --> 00:06:46,200 Speaker 1: paste that's all the shareholder value. There are some wonderful 131 00:06:46,200 --> 00:06:49,080 Speaker 1: things about these networks, but get rid of the calories 132 00:06:49,120 --> 00:06:50,680 Speaker 1: and that as the rage. And again I think it's 133 00:06:50,720 --> 00:06:55,120 Speaker 1: moving to a subscription model. But I think if you know, 134 00:06:55,200 --> 00:06:59,640 Speaker 1: Jack Dorsey doesn't have an own hot Hooly alliance with 135 00:06:59,640 --> 00:07:02,800 Speaker 1: with Um the president, if his stock had been up tenfold, 136 00:07:03,400 --> 00:07:06,000 Speaker 1: he would have shark repellent in our capitalist society. To 137 00:07:06,120 --> 00:07:08,960 Speaker 1: damage our society is bad, but to not have your 138 00:07:09,000 --> 00:07:11,040 Speaker 1: shares go up as worse. So Twitter is in a 139 00:07:11,040 --> 00:07:15,160 Speaker 1: difficult spot. Well, let's continue our conversation with Scott Galloway, 140 00:07:15,280 --> 00:07:17,679 Speaker 1: Professor of Marketing at n y U s Sturing School 141 00:07:17,720 --> 00:07:20,520 Speaker 1: of Business, New York Times best selling author. His most 142 00:07:20,560 --> 00:07:22,720 Speaker 1: recent book, which he joined our show to talk about 143 00:07:22,720 --> 00:07:24,960 Speaker 1: when it came out, was The Algebrow Happiness Notes in 144 00:07:25,000 --> 00:07:28,760 Speaker 1: the Pursuit of success, love and meaning and Scott, I 145 00:07:28,760 --> 00:07:30,920 Speaker 1: gotta ask you. You know, we talked a lot about 146 00:07:31,120 --> 00:07:33,640 Speaker 1: Twitter and what could be done there, and Facebook and 147 00:07:33,640 --> 00:07:36,200 Speaker 1: what's happening. We've had a lot of conversations with folks 148 00:07:36,240 --> 00:07:40,080 Speaker 1: in Silicon Valley who say Silicon Valley will be forever 149 00:07:40,240 --> 00:07:43,880 Speaker 1: changed by this pandemic, maybe in a good way, maybe not. 150 00:07:44,080 --> 00:07:48,640 Speaker 1: What's your take? It's an interesting question. I think. I 151 00:07:48,680 --> 00:07:51,920 Speaker 1: think there's several dimensions there. I think on a a 152 00:07:52,000 --> 00:07:55,400 Speaker 1: shareholder level, I believe that big tech is going to 153 00:07:55,480 --> 00:07:58,520 Speaker 1: consolidate or further consolidate the market, take advantage of the 154 00:07:58,560 --> 00:08:04,000 Speaker 1: stress and the ecosystem, make some great acquisitions of companies 155 00:08:04,040 --> 00:08:06,480 Speaker 1: that are going to be on sale, and will Facebook 156 00:08:06,520 --> 00:08:10,080 Speaker 1: and Google will emerge from this pandemic Instead of controlling 157 00:08:10,120 --> 00:08:12,600 Speaker 1: sixty cents on the dollar, there control seventy cents on 158 00:08:12,640 --> 00:08:15,680 Speaker 1: the dollar. And I think the market senses this. And 159 00:08:15,720 --> 00:08:18,680 Speaker 1: if you owned a hundred dollars with of Amazon, Apple, Facebook, 160 00:08:18,680 --> 00:08:21,160 Speaker 1: and Google on January one, you know, I think are 161 00:08:21,200 --> 00:08:24,440 Speaker 1: out fourteen or seventeen percent of a year. So the 162 00:08:24,480 --> 00:08:28,240 Speaker 1: pandemic is a calling of the herd, and people are 163 00:08:28,280 --> 00:08:30,800 Speaker 1: betting that the elephants that survive will have more foliage 164 00:08:30,840 --> 00:08:34,480 Speaker 1: posts the calling when the rains return, and the big 165 00:08:34,480 --> 00:08:39,080 Speaker 1: tech will be big winners here. Amazon is about to 166 00:08:39,120 --> 00:08:42,040 Speaker 1: announce the first sort of fully vaccinated supply chain through 167 00:08:42,040 --> 00:08:48,000 Speaker 1: a massive investment in distancing protocols, additional compensation, and they'll 168 00:08:48,040 --> 00:08:49,760 Speaker 1: really be the only firm in the world that can 169 00:08:49,800 --> 00:08:53,840 Speaker 1: offer kind of end to end near COVID free products 170 00:08:53,880 --> 00:08:57,120 Speaker 1: services vendors, which when you think about it, is just 171 00:08:57,160 --> 00:09:01,079 Speaker 1: a staggering opportunity, not like what Disney is trying to 172 00:09:01,160 --> 00:09:04,200 Speaker 1: do with professional sports bringing sports back to sort of 173 00:09:04,240 --> 00:09:07,880 Speaker 1: a COVID free environment in Orlando. So I think on 174 00:09:07,920 --> 00:09:10,480 Speaker 1: a shareholder level, they win. In terms of San Francisco, 175 00:09:10,600 --> 00:09:13,680 Speaker 1: I think there's been a reversal of this incredible trend 176 00:09:13,720 --> 00:09:15,960 Speaker 1: over the last thirty years where human and financial capital 177 00:09:15,960 --> 00:09:21,160 Speaker 1: has flown have fled into cities. As of January, that 178 00:09:21,280 --> 00:09:23,560 Speaker 1: was estimated the two thirds of all economic growth would 179 00:09:23,559 --> 00:09:27,480 Speaker 1: happen in twenty supercities. That has probably been reversed. And 180 00:09:27,600 --> 00:09:29,800 Speaker 1: it's not that San Francisco and New York won't be 181 00:09:29,840 --> 00:09:32,040 Speaker 1: great places to live, are great places to do work. 182 00:09:32,480 --> 00:09:34,560 Speaker 1: It's just they're likely going to see some cost pressure 183 00:09:34,559 --> 00:09:36,840 Speaker 1: and housing prices come down But the places that get 184 00:09:36,880 --> 00:09:41,120 Speaker 1: crushed are the people who had to commute in UH 185 00:09:41,160 --> 00:09:44,080 Speaker 1: and have no reason to be in paying a thousand 186 00:09:44,080 --> 00:09:46,160 Speaker 1: dollars of foot for a home in Grantwich, Connecticut or 187 00:09:46,160 --> 00:09:48,880 Speaker 1: Short Hills. But I can pay three hundred dollars of 188 00:09:48,880 --> 00:09:51,200 Speaker 1: foot in any one of a hundred different suburbs around 189 00:09:51,240 --> 00:09:55,040 Speaker 1: the nation. I think those areas get just crushed. So 190 00:09:55,120 --> 00:09:57,040 Speaker 1: that stays with us, right, We've seen it, you know, 191 00:09:57,080 --> 00:09:59,240 Speaker 1: Scott already from the Big Banks talking about you know, 192 00:09:59,240 --> 00:10:02,960 Speaker 1: not bringing work back to the city and creating shops outside, 193 00:10:03,080 --> 00:10:04,640 Speaker 1: you know, in the suburbs of the same thing as 194 00:10:04,679 --> 00:10:06,920 Speaker 1: you said, you know, Silicon Valley, Twitter saying hey, you 195 00:10:06,920 --> 00:10:10,040 Speaker 1: want to work from home permanently, that's okay. So that 196 00:10:10,440 --> 00:10:15,679 Speaker 1: is a significant shift going forward. It is, although it's 197 00:10:15,679 --> 00:10:17,679 Speaker 1: sort of there's a lot of celebration among big tech 198 00:10:17,720 --> 00:10:21,560 Speaker 1: companies employees about work from home and the worrior the 199 00:10:21,600 --> 00:10:23,839 Speaker 1: fear I see is that if Mark Zuckerberg can move 200 00:10:23,880 --> 00:10:25,880 Speaker 1: your job to Denver, he's likely going to move it 201 00:10:25,920 --> 00:10:28,960 Speaker 1: to Bengalore, India. And that is the ability to put 202 00:10:29,040 --> 00:10:33,440 Speaker 1: on a suit, put on you know, UH, to look good, 203 00:10:33,640 --> 00:10:38,440 Speaker 1: get ready, manage the interpersonal relationships navigate and motivated team 204 00:10:38,440 --> 00:10:41,960 Speaker 1: in person, FaceTime politics, whatever you want to call it 205 00:10:42,000 --> 00:10:45,400 Speaker 1: at headquarters is of skill. And to think that people 206 00:10:45,440 --> 00:10:47,080 Speaker 1: are going to get to work from home and go 207 00:10:47,120 --> 00:10:50,400 Speaker 1: to a low cost environment for free is naive. This 208 00:10:50,480 --> 00:10:52,120 Speaker 1: is going to be an opportunity for big tech to 209 00:10:52,200 --> 00:10:55,840 Speaker 1: substantially reduce they're human costs. And what we're gonna end 210 00:10:55,920 --> 00:10:58,600 Speaker 1: up with is the most valuable companies in the world 211 00:10:58,640 --> 00:11:01,920 Speaker 1: with an even smaller full time employee base. Keep in mind, 212 00:11:01,920 --> 00:11:04,080 Speaker 1: the largest work from home company in the world right 213 00:11:04,120 --> 00:11:07,120 Speaker 1: now is Uber. Is that a good thing. Seven million 214 00:11:07,160 --> 00:11:10,319 Speaker 1: of their driver partners technically work from home, and as 215 00:11:10,320 --> 00:11:13,360 Speaker 1: a result, Uber has been able to to skirt minimum 216 00:11:13,400 --> 00:11:16,679 Speaker 1: wage and health insurance regulations. So I think work from 217 00:11:16,720 --> 00:11:18,760 Speaker 1: home is a double edged sword. Yeah, we definitely saw 218 00:11:18,800 --> 00:11:21,800 Speaker 1: the wholes come out because of the virus. I do 219 00:11:21,880 --> 00:11:24,200 Speaker 1: we just got a couple of minutes or so left here, Scott. 220 00:11:24,240 --> 00:11:26,920 Speaker 1: I do want to ask about um your piece in 221 00:11:26,960 --> 00:11:31,520 Speaker 1: the Washington Post where you talked about creating US Corona Court, 222 00:11:31,640 --> 00:11:33,400 Speaker 1: you know, akin to the Peace Corps and some other 223 00:11:33,440 --> 00:11:36,559 Speaker 1: issues missions that are out there. Tell us about that. 224 00:11:36,600 --> 00:11:39,720 Speaker 1: I think it's really provocative and could be something that 225 00:11:39,800 --> 00:11:43,040 Speaker 1: really could make a difference. Well, I think there's a 226 00:11:43,160 --> 00:11:47,079 Speaker 1: huge opportunity here, Carol, if you think about our economy 227 00:11:47,160 --> 00:11:50,840 Speaker 1: is dependent upon pretty much or our society to a 228 00:11:50,840 --> 00:11:54,480 Speaker 1: certain extent, is dependent upon the apex of the relapse 229 00:11:54,480 --> 00:11:57,640 Speaker 1: and the fall are hopefully the lack thereof and the 230 00:11:57,720 --> 00:12:00,000 Speaker 1: flattening the curve, if you will, is simply a function 231 00:12:00,120 --> 00:12:04,120 Speaker 1: of testing, tracing and then isolation. And I would argue 232 00:12:04,120 --> 00:12:07,079 Speaker 1: the weak link is tracing where we only have tracers 233 00:12:07,120 --> 00:12:10,000 Speaker 1: in the United States, mostly focused on food born illnesses 234 00:12:10,040 --> 00:12:13,280 Speaker 1: and STDs, and it's estimated we need between two hundred 235 00:12:13,280 --> 00:12:16,240 Speaker 1: thousand and four hundred thousand. We also have about a 236 00:12:16,320 --> 00:12:18,640 Speaker 1: third of the four million kids who were supposed to 237 00:12:18,679 --> 00:12:22,240 Speaker 1: show up for a freshman fall classes saying they're thinking 238 00:12:22,240 --> 00:12:24,000 Speaker 1: about a gap here. So I wonder if there's an 239 00:12:24,000 --> 00:12:27,600 Speaker 1: opportunity similar to the Peace Corps, similar commission the Latter 240 00:12:27,679 --> 00:12:31,440 Speaker 1: Day Saints, where we arm this kind of army of 241 00:12:31,480 --> 00:12:34,319 Speaker 1: super soldiers who are largely I don't want to say immune, 242 00:12:34,440 --> 00:12:38,920 Speaker 1: but more resilient to COVID nineteen, train them in handheld technologies, 243 00:12:39,400 --> 00:12:42,040 Speaker 1: and create an army of tracers similar to what South 244 00:12:42,120 --> 00:12:45,440 Speaker 1: Korea did to suppress the curve, and not only would 245 00:12:45,480 --> 00:12:48,959 Speaker 1: we ideally suppress the curve, but maybe award them tuition remission, 246 00:12:49,000 --> 00:12:52,960 Speaker 1: give them more opportunities for college. And as importantly, the 247 00:12:53,000 --> 00:12:56,679 Speaker 1: reason we were able to pass such incredible brown, groundbreaking 248 00:12:56,760 --> 00:13:00,319 Speaker 1: legislation in the fifties, sixties, and seventies is over somewhere 249 00:13:00,320 --> 00:13:02,400 Speaker 1: we're going to happen. Two thirds of our leaders elected 250 00:13:02,480 --> 00:13:05,400 Speaker 1: leaders have served in uniform together where they put country 251 00:13:05,440 --> 00:13:07,680 Speaker 1: in front of politics, and I think we need that 252 00:13:07,720 --> 00:13:11,480 Speaker 1: sort of reunification, if you will, and recognition that greatness 253 00:13:11,520 --> 00:13:13,480 Speaker 1: is in the agency of others. And I think it's 254 00:13:13,520 --> 00:13:16,200 Speaker 1: time to have a core of young people who serve 255 00:13:16,280 --> 00:13:22,280 Speaker 1: their country. Yeah, there's been a tremendous disconnect um with that, UM, Scott, 256 00:13:22,400 --> 00:13:25,160 Speaker 1: thank you so much. Truthfully, Jason and I were still 257 00:13:25,160 --> 00:13:26,800 Speaker 1: looking forward to getting some time with you, and I 258 00:13:26,840 --> 00:13:29,760 Speaker 1: really appreciate it, UM, and I wish we had kind 259 00:13:29,760 --> 00:13:33,000 Speaker 1: of another hour to talk with Scott. Take care of Scott, 260 00:13:33,000 --> 00:13:36,439 Speaker 1: be well, uh and stay safe. Scott Galloway, Professor of 261 00:13:36,559 --> 00:13:38,320 Speaker 1: n y U Stern School of Business, on the phone 262 00:13:38,320 --> 00:13:41,360 Speaker 1: in Delway Beach, Florida. His books the best seller The 263 00:13:41,400 --> 00:13:44,280 Speaker 1: for the Hidden DNA of Amazon, Apple, Facebook, and Google, 264 00:13:44,360 --> 00:13:47,560 Speaker 1: and do check out the algebra of Happiness, pursuit of success, 265 00:13:47,600 --> 00:13:49,920 Speaker 1: love and what it all means. As I mentioned, there's 266 00:13:49,960 --> 00:13:53,600 Speaker 1: a great video to out there online. Thanks so much 267 00:13:53,600 --> 00:13:56,520 Speaker 1: for listening to Bloomberg Business Week. Download the podcast on iTunes, 268 00:13:56,559 --> 00:13:59,120 Speaker 1: South Cloud, Fluoberg dot com, but wherever you get your 269 00:13:59,120 --> 00:14:01,200 Speaker 1: podcasts and of whereas, you can always listen to our 270 00:14:01,280 --> 00:14:03,960 Speaker 1: radio show at two pm Eastern on Bloomberg Radio or 271 00:14:04,080 --> 00:14:09,160 Speaker 1: watch us on YouTube by searching Bloomberg Global News m