1 00:00:00,840 --> 00:00:04,080 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,080 --> 00:00:06,960 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:07,000 --> 00:00:11,560 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,640 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,520 --> 00:00:22,880 Speaker 1: at Bloomberg dot com slash podcast. Well, during this fourteen 7 00:00:22,960 --> 00:00:25,720 Speaker 1: months of this pandemic we have Bloomberg Radio and television 8 00:00:25,720 --> 00:00:28,639 Speaker 1: have been so fortunate to have access to a wide 9 00:00:28,720 --> 00:00:31,760 Speaker 1: range of experts that help us navigate what we need 10 00:00:31,920 --> 00:00:35,800 Speaker 1: to know, what is important and here uh at Bloomberg 11 00:00:35,840 --> 00:00:38,279 Speaker 1: Markets on Fridays, we've been chatting with Lawrence Sour. She's 12 00:00:38,320 --> 00:00:41,360 Speaker 1: the associate Professor of Emergency Medicine at the Johns Hopkins 13 00:00:41,400 --> 00:00:43,360 Speaker 1: School of Medicine. I should know that the Bloomberg School 14 00:00:43,360 --> 00:00:46,000 Speaker 1: of Public Health at Johns Hopkins is supported by Michael R. 15 00:00:46,040 --> 00:00:49,280 Speaker 1: Bloomberg found our Bloomberg LP and Bloomberg Philanthropies. And Lauren, 16 00:00:49,600 --> 00:00:51,680 Speaker 1: you've been so good to us over these months, kind 17 00:00:51,680 --> 00:00:53,840 Speaker 1: of keeping us up to date on you know, they're 18 00:00:53,840 --> 00:00:57,880 Speaker 1: really important news about this virus and the therapeutics and 19 00:00:57,880 --> 00:00:59,560 Speaker 1: and now the vaccines, and I guess one of the 20 00:00:59,640 --> 00:01:03,320 Speaker 1: questions is now is I don't have a question. We 21 00:01:03,400 --> 00:01:05,679 Speaker 1: got a question all TV up, All right, you want 22 00:01:05,680 --> 00:01:07,840 Speaker 1: to you want to go that route? You go that route? Now? Well, 23 00:01:08,120 --> 00:01:10,960 Speaker 1: I just we've been talking about it, at least I 24 00:01:11,000 --> 00:01:15,160 Speaker 1: have Lauren no, so we were. We joke around about 25 00:01:15,160 --> 00:01:18,840 Speaker 1: this American dream mall all the time in Rutherford, New Jersey, 26 00:01:18,959 --> 00:01:21,840 Speaker 1: and it just made me think, Um, it's going to 27 00:01:21,920 --> 00:01:24,280 Speaker 1: be a place where there's a ton of people gathered, 28 00:01:24,959 --> 00:01:28,399 Speaker 1: and I wonder what an expert would think about going 29 00:01:28,400 --> 00:01:30,280 Speaker 1: to a place like that right now. I mean, even 30 00:01:30,280 --> 00:01:33,760 Speaker 1: if you're vaccinated, would you feel comfortable going to it 31 00:01:33,800 --> 00:01:37,240 Speaker 1: doesn't have to be there an Orioles game, or maybe 32 00:01:37,280 --> 00:01:40,800 Speaker 1: you're a Nats fan, would you be comfortable going on 33 00:01:41,080 --> 00:01:45,120 Speaker 1: the t I mean, do you go to these places 34 00:01:45,160 --> 00:01:47,840 Speaker 1: where a lot of people are gathered, and then I 35 00:01:47,880 --> 00:01:52,200 Speaker 1: assume you're vaccinated, would you wear a mask or not? Yeah? Well, 36 00:01:52,240 --> 00:01:53,920 Speaker 1: I want to start by saying, of course I'm an 37 00:01:53,920 --> 00:01:59,680 Speaker 1: Orioles fan, but um, I think I would feel safe 38 00:01:59,760 --> 00:02:03,040 Speaker 1: in ball parts, especially if they're maintaining the sort of 39 00:02:03,080 --> 00:02:08,560 Speaker 1: seat social distancing that they've been doing. So the seat restrictions. UM. Interestingly, 40 00:02:08,960 --> 00:02:11,040 Speaker 1: you know, I think we're seeing some of the fall 41 00:02:11,120 --> 00:02:16,239 Speaker 1: sports like football, UM go back to full stadium capacity, 42 00:02:16,280 --> 00:02:19,400 Speaker 1: and I'm not sure i'd be ready for that my personally, 43 00:02:19,440 --> 00:02:22,400 Speaker 1: of course i'm speaking, but I think that an outdoor 44 00:02:22,400 --> 00:02:25,120 Speaker 1: setting where you feel like you're not up against people 45 00:02:25,160 --> 00:02:27,079 Speaker 1: for long periods of time, where you have that space 46 00:02:27,120 --> 00:02:29,760 Speaker 1: to move, I'd be comfortable there, but probably would still 47 00:02:29,800 --> 00:02:31,760 Speaker 1: wear a mask. Maybe not if I was sitting in 48 00:02:31,800 --> 00:02:33,600 Speaker 1: my seat and felt like I was, you know, six 49 00:02:33,600 --> 00:02:35,880 Speaker 1: ft away from people, but when I headed back to 50 00:02:35,919 --> 00:02:38,760 Speaker 1: the concessions or when I went to the bathroom UM 51 00:02:38,880 --> 00:02:41,679 Speaker 1: or in you know, coming and going from those spaces. 52 00:02:41,720 --> 00:02:44,040 Speaker 1: So that's like always the biggest challenges when people get 53 00:02:44,040 --> 00:02:47,000 Speaker 1: sort of crowded together as they're entering or exiting the stadium. 54 00:02:47,520 --> 00:02:50,480 Speaker 1: UM UM. An indoor mall for an extended period of time, 55 00:02:50,480 --> 00:02:52,959 Speaker 1: I'm not sure i'd feel comfortable there, and definitely not 56 00:02:53,240 --> 00:02:55,600 Speaker 1: UM other sort of indoor spaces where you have no 57 00:02:55,680 --> 00:02:59,239 Speaker 1: control over how close you are to people. Well to continue, 58 00:02:59,480 --> 00:03:02,079 Speaker 1: I mean, you know, I'm a long suffering New York 59 00:03:02,120 --> 00:03:05,440 Speaker 1: Knicks fan, Lauren, and but fortunately they are back in 60 00:03:05,560 --> 00:03:08,320 Speaker 1: the playoffs and they have. They're opening their playoffs this 61 00:03:08,360 --> 00:03:11,480 Speaker 1: weekend at Madison Square Garden, the world's most famous arena. 62 00:03:11,520 --> 00:03:14,720 Speaker 1: Of course, they're gonna have fifteen thousand fans there, and 63 00:03:14,720 --> 00:03:17,520 Speaker 1: I believe the capacity is maybe seventeen or eighteen thousand, 64 00:03:17,560 --> 00:03:22,920 Speaker 1: so it's pretty darn full indoor arena. But that's apparently, 65 00:03:23,120 --> 00:03:25,200 Speaker 1: you know, as per the New York and CDC guidelines. 66 00:03:25,240 --> 00:03:28,680 Speaker 1: That's okay, yeah, I mean it's so it's it's all 67 00:03:28,720 --> 00:03:31,520 Speaker 1: about what your personal comfort is once you've been vaccinated. 68 00:03:31,600 --> 00:03:34,120 Speaker 1: I think, you know, we do want to keep as 69 00:03:34,200 --> 00:03:36,760 Speaker 1: much of the distancing, as much of them asking as 70 00:03:36,800 --> 00:03:39,480 Speaker 1: they can, just because it protects people who either can't 71 00:03:39,520 --> 00:03:43,920 Speaker 1: be vaccinated or have chosen not to. And so you know, 72 00:03:43,960 --> 00:03:45,920 Speaker 1: it is a little bit of that, you know, doing 73 00:03:45,960 --> 00:03:49,760 Speaker 1: something for someone else piece. But I also think that, um, 74 00:03:50,000 --> 00:03:52,960 Speaker 1: if you're comfortable and you've been vaccinated, and you've you know, 75 00:03:53,080 --> 00:03:56,000 Speaker 1: gone your full vaccine schedule, so either one or both 76 00:03:56,040 --> 00:03:58,200 Speaker 1: doses depending on what you got, and waiting that two 77 00:03:58,200 --> 00:04:01,480 Speaker 1: week carry it after UM, and you do feel comfortable 78 00:04:01,520 --> 00:04:03,680 Speaker 1: and you don't feel like, you know, there's maybe another 79 00:04:04,120 --> 00:04:06,440 Speaker 1: family member in your household or someone that you spend 80 00:04:06,440 --> 00:04:08,560 Speaker 1: a lot of close time with it is at risk, 81 00:04:09,040 --> 00:04:11,720 Speaker 1: then I think it's a different it's a different calculus, right, 82 00:04:11,760 --> 00:04:14,720 Speaker 1: And if you feel comfortable, maybe keep that mask on 83 00:04:14,800 --> 00:04:16,800 Speaker 1: you in case you find you find yourself in a 84 00:04:16,839 --> 00:04:19,280 Speaker 1: situation where you'd feel more comfortable having it on, or 85 00:04:19,279 --> 00:04:21,839 Speaker 1: where you're entering into somewhere where it does feel like 86 00:04:21,880 --> 00:04:24,600 Speaker 1: masking is more appropriate or even required, because I think 87 00:04:25,040 --> 00:04:28,080 Speaker 1: one of the outcomes of this new guidances that we're having, 88 00:04:28,560 --> 00:04:31,480 Speaker 1: you know, patchwork masking with quests, and so you want 89 00:04:31,520 --> 00:04:33,600 Speaker 1: to have it ready if you need it. But if 90 00:04:33,600 --> 00:04:35,599 Speaker 1: you feel comfortable and you you feel like you're not 91 00:04:35,640 --> 00:04:38,240 Speaker 1: gonna put anyone else vulnerable at risk, and I think 92 00:04:38,240 --> 00:04:41,159 Speaker 1: that that's a different question. I think we're gonna be 93 00:04:41,160 --> 00:04:45,280 Speaker 1: wearing masks in like five years. You know, I've been 94 00:04:45,279 --> 00:04:47,960 Speaker 1: thinking a lot about that. Actually, It's it's hard to 95 00:04:48,240 --> 00:04:50,360 Speaker 1: assess because I do feel like as a country, we've 96 00:04:50,360 --> 00:04:54,520 Speaker 1: been pretty resistant to masking. Um. I have to say, 97 00:04:55,040 --> 00:05:00,520 Speaker 1: the drop in some of the other restiratory infections is appealing. Um. 98 00:05:00,520 --> 00:05:03,159 Speaker 1: You know, some countries have have had a long masking 99 00:05:03,200 --> 00:05:05,719 Speaker 1: culture and and they you know, it just feels like 100 00:05:05,760 --> 00:05:08,200 Speaker 1: part of daily life. I think we'll have to see 101 00:05:08,200 --> 00:05:12,839 Speaker 1: what happens with vaccine coverage and how ventilations laughed. Yeah, 102 00:05:12,960 --> 00:05:15,120 Speaker 1: and if we can make some really good changes to 103 00:05:15,160 --> 00:05:18,240 Speaker 1: our buildings, take this opportunity to do that. I think. 104 00:05:18,360 --> 00:05:20,360 Speaker 1: I think that there's a potential that we will see 105 00:05:20,400 --> 00:05:22,960 Speaker 1: at least sporadic mask wearing for a long time to come. 106 00:05:23,080 --> 00:05:25,280 Speaker 1: I think it'll be really interesting, Lauren, to see if 107 00:05:25,680 --> 00:05:29,880 Speaker 1: we really do make ventilation changes building changes. Um. And 108 00:05:29,920 --> 00:05:31,960 Speaker 1: that is, like you said, that would be great for 109 00:05:32,040 --> 00:05:37,719 Speaker 1: us on on a whole um number of different disease issues. Uh. 110 00:05:37,880 --> 00:05:41,000 Speaker 1: I actually like wearing a mask occasionally, but I've recently 111 00:05:41,000 --> 00:05:45,160 Speaker 1: found that maskne is real that that happens, and it's 112 00:05:45,160 --> 00:05:47,360 Speaker 1: difficult to get rid of. So I guess you gotta 113 00:05:47,360 --> 00:05:49,480 Speaker 1: wash your face. I guess a little bit more. Lawrence 114 00:05:49,520 --> 00:05:52,280 Speaker 1: Hour from the Johns Hopkins School Medicine, thank you very 115 00:05:52,320 --> 00:05:58,720 Speaker 1: much as usual for joining US. Now. I have been 116 00:05:59,200 --> 00:06:02,280 Speaker 1: pretty pumped. Talked to Bill Studebaker. He joins US today, 117 00:06:02,400 --> 00:06:07,280 Speaker 1: President and chief investment officer at robo Globo. Uh, robo 118 00:06:07,400 --> 00:06:10,279 Speaker 1: globe bull. Sorry, I'm sure people probably make that mistake 119 00:06:10,320 --> 00:06:13,960 Speaker 1: a lot. Robo globe bull. Um. He is going to 120 00:06:14,080 --> 00:06:18,400 Speaker 1: talk to us about AI five g autonomous vehicles, robotics, 121 00:06:18,400 --> 00:06:22,200 Speaker 1: and semi conductors, which is obviously what makes it so cool. 122 00:06:22,400 --> 00:06:24,760 Speaker 1: But um, Bill, you've got a bunch of E t 123 00:06:24,960 --> 00:06:28,240 Speaker 1: F s that you have created their UM. The robo 124 00:06:28,320 --> 00:06:31,119 Speaker 1: et F is the most famous, but you also track 125 00:06:31,240 --> 00:06:34,640 Speaker 1: AI with TH H and Q and health tech with 126 00:06:35,000 --> 00:06:39,000 Speaker 1: H T E c UM. I noticed they all seem 127 00:06:39,040 --> 00:06:42,520 Speaker 1: to be doing equally well this year. If I look 128 00:06:42,560 --> 00:06:44,720 Speaker 1: back over the past twelve months, each one is gaining 129 00:06:45,279 --> 00:06:48,000 Speaker 1: UM more than fifty Why do they track each other 130 00:06:48,040 --> 00:06:51,760 Speaker 1: so closely? Well? I think, uh, good morning, and thanks 131 00:06:51,800 --> 00:06:53,920 Speaker 1: for having me. I think what you're seeing right now 132 00:06:54,000 --> 00:06:58,160 Speaker 1: is that you know, these are technologies, particularly with robotics 133 00:06:58,160 --> 00:07:01,400 Speaker 1: and AI, that are being applied to all industries, in 134 00:07:01,480 --> 00:07:05,160 Speaker 1: all markets. And these were years ago, you know, viewed 135 00:07:05,200 --> 00:07:09,080 Speaker 1: as niche applications, where you know, fast forward eight years later, 136 00:07:09,160 --> 00:07:12,800 Speaker 1: we couldn't be more convicted and how these technologies are 137 00:07:12,920 --> 00:07:15,720 Speaker 1: changing the way we live and work and in healthcare, 138 00:07:15,800 --> 00:07:19,000 Speaker 1: the exciting thing now is that we're in the process 139 00:07:19,000 --> 00:07:23,280 Speaker 1: of beginning to cure chronic disease. I mean, healthcare as 140 00:07:23,320 --> 00:07:26,000 Speaker 1: we've had it has been really sick care. Someone gets 141 00:07:26,000 --> 00:07:28,200 Speaker 1: sick and you basically go and you know, try to 142 00:07:28,240 --> 00:07:31,400 Speaker 1: take a remedy to to uh, you know, prevent it 143 00:07:31,480 --> 00:07:35,160 Speaker 1: from spreading, not always just curing it. Um. But now 144 00:07:35,280 --> 00:07:38,880 Speaker 1: we're moving into a completely new, uh digital realm. I mean, 145 00:07:39,000 --> 00:07:44,560 Speaker 1: healthcare is less than one percent digitized, and people going forward, 146 00:07:44,600 --> 00:07:46,840 Speaker 1: I'm not going to live until their seven year eighty 147 00:07:46,880 --> 00:07:50,480 Speaker 1: try one twenty plus because we've left the ability not 148 00:07:50,640 --> 00:07:53,160 Speaker 1: just to arrest the signs of aging, but in some 149 00:07:53,240 --> 00:07:57,520 Speaker 1: cases reverse it. So build I'd love to get a 150 00:07:57,560 --> 00:07:59,680 Speaker 1: sense of you know, one of the key issues throughout 151 00:08:00,000 --> 00:08:03,760 Speaker 1: anology right now is the real basic building block of 152 00:08:03,800 --> 00:08:06,640 Speaker 1: technology semi conductors. Can you explain to me and to 153 00:08:06,760 --> 00:08:09,200 Speaker 1: our listeners how it got to a point where there's 154 00:08:09,280 --> 00:08:13,200 Speaker 1: this acute shortage of chips out there and how long's 155 00:08:13,200 --> 00:08:16,880 Speaker 1: it going to take to wind its way through? Well, 156 00:08:16,880 --> 00:08:19,320 Speaker 1: that's a that's a good question. I think it's pretty 157 00:08:19,360 --> 00:08:24,160 Speaker 1: similar to most you know, signal industries. They're capital intensive 158 00:08:24,280 --> 00:08:28,400 Speaker 1: companies are always reluctant to add too much capacity once 159 00:08:28,920 --> 00:08:32,920 Speaker 1: they have to manage your business, you know, for shareholders, etcetera. Uh, 160 00:08:32,960 --> 00:08:35,680 Speaker 1: And the industry right now that we're seeing it's going 161 00:08:35,720 --> 00:08:41,440 Speaker 1: through really unprecedented times with the supply environment and you 162 00:08:41,480 --> 00:08:44,600 Speaker 1: know meanful inleventory plenishment is not going to happen until 163 00:08:45,040 --> 00:08:50,040 Speaker 1: very likely the first half of twenty two. UM. And 164 00:08:50,280 --> 00:08:52,600 Speaker 1: I think what you're seeing now is the need for 165 00:08:52,679 --> 00:08:58,120 Speaker 1: semiconductors is really exploding as we're having advancements in five 166 00:08:58,240 --> 00:09:02,160 Speaker 1: G and edge computing and basically all of our assets 167 00:09:02,160 --> 00:09:05,240 Speaker 1: that are around us UM have seven connectors that are 168 00:09:05,280 --> 00:09:09,800 Speaker 1: assumed to be, if not now beginning to aggregate data 169 00:09:09,960 --> 00:09:13,360 Speaker 1: and communicate with US. So, UM, the whole world is 170 00:09:13,400 --> 00:09:19,120 Speaker 1: becoming tecrified and digital and digitized. What what how did 171 00:09:19,120 --> 00:09:21,240 Speaker 1: this work out? Because I know you used to be 172 00:09:21,360 --> 00:09:25,679 Speaker 1: a portfolio manager, right, So, UM, what made you decide 173 00:09:25,679 --> 00:09:28,320 Speaker 1: to start creating these e t F s at Robo Global? 174 00:09:28,520 --> 00:09:31,319 Speaker 1: And you know, I'm always fascinated by it because I 175 00:09:31,320 --> 00:09:34,200 Speaker 1: think this is the way that UM, younger generations are 176 00:09:34,320 --> 00:09:39,160 Speaker 1: are really investing and going to invest, especially over you know, 177 00:09:39,480 --> 00:09:44,720 Speaker 1: the mobile phone technology, etcetera. Well, I guess I was 178 00:09:44,800 --> 00:09:48,360 Speaker 1: fortunate to set my career kind of looking at technologies 179 00:09:48,400 --> 00:09:53,000 Speaker 1: and industrial companies and was pretty focused on the concept 180 00:09:53,200 --> 00:09:56,080 Speaker 1: of automation. As I was kind of looking around, you know, 181 00:09:56,559 --> 00:09:59,000 Speaker 1: UM began to think to myself and my and my 182 00:09:59,160 --> 00:10:03,360 Speaker 1: partners were you know, we're gonna be increasingly automating everything 183 00:10:03,920 --> 00:10:07,280 Speaker 1: and we've kind of started up robot We looked around 184 00:10:07,320 --> 00:10:10,280 Speaker 1: and you know, how can we want to invest in 185 00:10:10,320 --> 00:10:13,400 Speaker 1: the theme of automation. That weren't any dedicated hedge funds 186 00:10:13,440 --> 00:10:17,160 Speaker 1: doing anything in automation. UM. You know, how about venture capital, 187 00:10:17,240 --> 00:10:22,400 Speaker 1: private equity? Very little obviously nothing going on in UH 188 00:10:22,720 --> 00:10:26,280 Speaker 1: in the mutual fund long only world. So we we 189 00:10:26,360 --> 00:10:29,920 Speaker 1: knew that there were dedicated pure flight companies you know, 190 00:10:30,000 --> 00:10:33,440 Speaker 1: likened to sturgical you know, like for Nook, etcetera. But 191 00:10:33,440 --> 00:10:35,560 Speaker 1: if you would in the classic Wall Street gigs and 192 00:10:35,600 --> 00:10:40,000 Speaker 1: pulp the word robotics, you know what companies would populate that? Nothing? 193 00:10:40,640 --> 00:10:42,720 Speaker 1: How about if you pulled up AI that was just 194 00:10:42,800 --> 00:10:45,480 Speaker 1: kind of an Elon must science fiction term. So we 195 00:10:45,520 --> 00:10:48,120 Speaker 1: actually were the first company ever to have gone out 196 00:10:48,200 --> 00:10:53,559 Speaker 1: and created essentially UMU, the SMP, the nasdack UM, which 197 00:10:53,600 --> 00:10:57,280 Speaker 1: is the robo Global Index to track robotics and AI. 198 00:10:57,600 --> 00:11:00,880 Speaker 1: And we've done that for healthcare in avay shouldn't um 199 00:11:01,040 --> 00:11:04,480 Speaker 1: and we've also done this for AI. So that's kind 200 00:11:04,520 --> 00:11:08,840 Speaker 1: of unique, uh in terms of what we've done. Hey, 201 00:11:08,920 --> 00:11:11,640 Speaker 1: Bill thirty seconds, what what's the sector that's really getting 202 00:11:11,760 --> 00:11:16,200 Speaker 1: your attention right now. Well, it's really hard to isolate 203 00:11:16,360 --> 00:11:18,319 Speaker 1: to just want I mean, I think one thing it 204 00:11:18,440 --> 00:11:20,680 Speaker 1: stands out. I think a lot of your listeners would 205 00:11:20,720 --> 00:11:24,640 Speaker 1: understand his e commerce. I mean e commerce because the 206 00:11:24,720 --> 00:11:28,120 Speaker 1: pandemic before, um, what's sort of a luxury, Well, it's 207 00:11:28,160 --> 00:11:31,360 Speaker 1: been turbo charged where it's a necessity. E commerce screw 208 00:11:31,440 --> 00:11:35,800 Speaker 1: for five last year. When you look around into North 209 00:11:35,840 --> 00:11:39,160 Speaker 1: America warehouses, I would say less than five percent of 210 00:11:39,240 --> 00:11:44,080 Speaker 1: warehouses are heavily automated. So we're beginning um to see 211 00:11:44,160 --> 00:11:48,679 Speaker 1: even increasingly more technology that's being put into speed up 212 00:11:49,400 --> 00:11:52,400 Speaker 1: fulfillment and supply chain. And this is going to go 213 00:11:52,520 --> 00:11:56,000 Speaker 1: on for years of not decades. Yeah, absolutely fascinating, And 214 00:11:56,320 --> 00:11:58,760 Speaker 1: I think you're you're definitely right there because everybody has 215 00:11:58,840 --> 00:12:01,360 Speaker 1: to match Amazon, right have always, They've all got to 216 00:12:01,480 --> 00:12:03,120 Speaker 1: get it to you in twenty four hours or less. 217 00:12:03,120 --> 00:12:07,160 Speaker 1: Bill Studebaker, their president, chief investment officer at Robo Global, 218 00:12:07,920 --> 00:12:13,960 Speaker 1: This is Bloomberg. Yeah, I'm really digging these big takes, Matt. 219 00:12:14,120 --> 00:12:16,800 Speaker 1: I mean, these are some pretty juicy stories in Bloomberg News. 220 00:12:17,240 --> 00:12:20,560 Speaker 1: You know, it goes really deep and today is no difference. 221 00:12:20,600 --> 00:12:23,040 Speaker 1: Tom or like. He's the chief economist for Bloomberg Economics. 222 00:12:23,120 --> 00:12:25,240 Speaker 1: He joins us Uh And what I like about Tom 223 00:12:25,360 --> 00:12:27,959 Speaker 1: is he spent over a decade in China, in Beijing, 224 00:12:28,400 --> 00:12:31,720 Speaker 1: working and living there, so he's got a great global view. 225 00:12:31,840 --> 00:12:34,240 Speaker 1: And the story that they did today, it's got a 226 00:12:34,280 --> 00:12:39,200 Speaker 1: really cool headline world dominating superstar firms get bigger, techier, 227 00:12:39,600 --> 00:12:42,400 Speaker 1: and more Chinese. Tom, tell us what you guys and 228 00:12:42,480 --> 00:12:45,120 Speaker 1: your team UH looked at here when you looked at 229 00:12:45,160 --> 00:12:49,560 Speaker 1: some of the really big global companies. Thanks Paul, great 230 00:12:49,640 --> 00:12:51,920 Speaker 1: to be on the show. Um. So, what we've done 231 00:12:52,320 --> 00:12:56,640 Speaker 1: if we've taken a grand historical sweep um and kind 232 00:12:56,679 --> 00:13:00,280 Speaker 1: of look at the evolution of the biggest distis in 233 00:13:00,360 --> 00:13:04,880 Speaker 1: the world over the last thirty years. We pulled data 234 00:13:04,960 --> 00:13:09,760 Speaker 1: from the Bloomberg terminal on their market cap, their profit margins, 235 00:13:10,000 --> 00:13:14,560 Speaker 1: their tax rates, how much cash they've got, where they're from, 236 00:13:15,080 --> 00:13:17,400 Speaker 1: and what they do and use that to tell a 237 00:13:17,559 --> 00:13:20,480 Speaker 1: story about what the biggest firms in the world looked 238 00:13:20,520 --> 00:13:24,800 Speaker 1: like back in and what they look like today. And 239 00:13:24,920 --> 00:13:27,080 Speaker 1: as you said, the sort of the type of captures 240 00:13:27,120 --> 00:13:29,560 Speaker 1: some of the big themes we're looking at and move 241 00:13:29,800 --> 00:13:34,000 Speaker 1: east more Chinese firms at the top of the global rankings. 242 00:13:34,559 --> 00:13:37,720 Speaker 1: We're looking at a shift from big oil to big tech, 243 00:13:38,640 --> 00:13:42,040 Speaker 1: and we're also looking at big firms which really just 244 00:13:42,200 --> 00:13:45,480 Speaker 1: operate in a different way to how they did thirty 245 00:13:45,640 --> 00:13:50,560 Speaker 1: years ago, doing less capital spending, been employing less workers, 246 00:13:50,880 --> 00:13:53,040 Speaker 1: and that has some important implications for the way the 247 00:13:53,080 --> 00:13:56,160 Speaker 1: economy works. You know, so I used to be a 248 00:13:56,200 --> 00:13:58,880 Speaker 1: big dead Kennedy's fan. Um, I guess I still am 249 00:13:58,920 --> 00:14:01,000 Speaker 1: a big dead Kennedy's But I used to listen to 250 00:14:01,880 --> 00:14:05,839 Speaker 1: um Jello Biafrau talk about his social justice concerns and 251 00:14:05,920 --> 00:14:07,960 Speaker 1: this was one of them. You know that the world 252 00:14:08,120 --> 00:14:10,760 Speaker 1: was going to be increasingly controlled by a smaller number 253 00:14:10,800 --> 00:14:15,000 Speaker 1: of consolidating companies. And to me, this story boils down 254 00:14:15,160 --> 00:14:19,280 Speaker 1: to three um important data points. Number One, the top 255 00:14:19,400 --> 00:14:22,760 Speaker 1: fifty companies in the world are now worth twenty eight 256 00:14:22,880 --> 00:14:26,480 Speaker 1: percent of global GDP. Thirty years ago, they were less 257 00:14:26,480 --> 00:14:30,160 Speaker 1: than five percent of global global GDP. Number two, UM, 258 00:14:30,280 --> 00:14:34,840 Speaker 1: they're not spending as much money creating jobs. Thirty years ago, 259 00:14:35,000 --> 00:14:37,400 Speaker 1: they were spending nine percent of revenue on capex. Now 260 00:14:37,480 --> 00:14:40,760 Speaker 1: it's three percent of revenue on capex. And number three, 261 00:14:40,880 --> 00:14:44,640 Speaker 1: they're not paying um as much in taxes not nearly 262 00:14:44,640 --> 00:14:46,400 Speaker 1: as much as tax in taxes as they used to. 263 00:14:46,520 --> 00:14:48,520 Speaker 1: I think thirty years ago it was like thirty five percent, 264 00:14:48,600 --> 00:14:53,640 Speaker 1: now at seventent. So I just think, Um, the interesting 265 00:14:53,720 --> 00:14:57,400 Speaker 1: question raised by this article, which I obviously loved Tom 266 00:14:57,480 --> 00:15:00,320 Speaker 1: by the way, is, um, what our government it's going 267 00:15:00,400 --> 00:15:03,520 Speaker 1: to do about it? I mean, are you gonna try 268 00:15:03,560 --> 00:15:06,400 Speaker 1: and raise taxes in a global way, which we can 269 00:15:06,440 --> 00:15:09,880 Speaker 1: see is difficult and maybe not even fair. It kind 270 00:15:09,880 --> 00:15:12,320 Speaker 1: of destroys the idea of competition. Are you going to 271 00:15:12,360 --> 00:15:14,800 Speaker 1: try and break up these companies because they're too big? 272 00:15:14,920 --> 00:15:18,720 Speaker 1: Are they you know, have they become oligopolies in some way? 273 00:15:18,760 --> 00:15:20,720 Speaker 1: I mean, what what? What? What do you think the 274 00:15:20,800 --> 00:15:23,480 Speaker 1: governments are going to try and do about it? Yeah, 275 00:15:23,520 --> 00:15:26,000 Speaker 1: I think that's a that's a great question. Um. And 276 00:15:26,160 --> 00:15:28,360 Speaker 1: if you think about sort of the grand sweep of 277 00:15:29,000 --> 00:15:33,560 Speaker 1: economic history for the last fifty years or so, there 278 00:15:33,680 --> 00:15:36,920 Speaker 1: was this moment at the beginning of the the Reagan 279 00:15:37,040 --> 00:15:41,360 Speaker 1: Revolution in the US, the Thatcher Revolution um in the UK, 280 00:15:42,240 --> 00:15:46,920 Speaker 1: which really tilted the playing field in favor of corporations 281 00:15:47,440 --> 00:15:50,440 Speaker 1: and against workers, right, And that was the kind of 282 00:15:50,640 --> 00:15:54,960 Speaker 1: the beginning of this this trend towards bigger and bigger firms, 283 00:15:55,600 --> 00:15:59,280 Speaker 1: paying smaller and smaller amounts in taxes and keeping more 284 00:15:59,360 --> 00:16:02,600 Speaker 1: and more profits. It's for their owners. Um. So the 285 00:16:02,720 --> 00:16:07,480 Speaker 1: question is has the pendulum swung too far? How are 286 00:16:07,600 --> 00:16:10,400 Speaker 1: we now at a moment when policy is going to 287 00:16:10,480 --> 00:16:14,720 Speaker 1: start shifting back in favor of in favor of workers, 288 00:16:15,560 --> 00:16:18,720 Speaker 1: in favor of greater competition. And there are some signs 289 00:16:18,800 --> 00:16:22,400 Speaker 1: that that's happening. Right. We've got the Biden administration talking 290 00:16:22,480 --> 00:16:26,880 Speaker 1: about a global minimum tax. Um. We've got different bits 291 00:16:26,960 --> 00:16:29,920 Speaker 1: of the US government taking aim at some of the 292 00:16:30,080 --> 00:16:35,240 Speaker 1: big tech platform companies saying you're operating in an unfair way. Um. 293 00:16:35,640 --> 00:16:39,120 Speaker 1: And globally, we've got China taking a swing at some 294 00:16:39,280 --> 00:16:43,240 Speaker 1: of its big tech champions, companies like Ali, Baba, ten 295 00:16:43,400 --> 00:16:47,200 Speaker 1: Cent and ma uanum So. I mean, who knows. The 296 00:16:47,320 --> 00:16:51,200 Speaker 1: corporate lobby is obviously incredibly powerful. And these films are 297 00:16:51,200 --> 00:16:54,920 Speaker 1: also big because they're providing things which add value. Right, 298 00:16:55,120 --> 00:16:57,480 Speaker 1: I like my iPhone, I like being able to order 299 00:16:57,560 --> 00:17:01,960 Speaker 1: things on Amazon. But there are some indications beginning of 300 00:17:02,040 --> 00:17:05,000 Speaker 1: a pushback. So true, we want our stuff. We still 301 00:17:05,040 --> 00:17:09,000 Speaker 1: want our stuff, right, Yeah, we want our stuff. I mean, 302 00:17:09,040 --> 00:17:12,480 Speaker 1: who could imagine living through the pandemic without the benefits 303 00:17:12,520 --> 00:17:16,280 Speaker 1: of ordering on Amazon here or Ali Baba in China, 304 00:17:16,760 --> 00:17:21,160 Speaker 1: who could do their job without searching for information using Google. 305 00:17:21,320 --> 00:17:23,600 Speaker 1: I mean, right, there's a reason Google has become a 306 00:17:23,760 --> 00:17:27,680 Speaker 1: verb is because it's an incredibly valuable service. Um. So, 307 00:17:28,440 --> 00:17:30,600 Speaker 1: even as we think about some of the costs of 308 00:17:30,680 --> 00:17:34,520 Speaker 1: these superstar firms, we also need to remember that they're 309 00:17:34,560 --> 00:17:37,600 Speaker 1: superstars for a reason, right, They are providing goods and 310 00:17:37,720 --> 00:17:41,920 Speaker 1: services that people really value. So, Tom, I think you know, 311 00:17:42,080 --> 00:17:45,080 Speaker 1: right now we have the Biden administration proposing a kind 312 00:17:45,080 --> 00:17:48,960 Speaker 1: of minimum tax and maybe taxing foreign profits and things 313 00:17:49,000 --> 00:17:51,760 Speaker 1: like that. Is taxation one of the areas that can 314 00:17:51,880 --> 00:17:56,640 Speaker 1: maybe be addressed most quickly or in the nearest term. Yeah, 315 00:17:56,760 --> 00:17:59,520 Speaker 1: So there was this there was this striking presentation by 316 00:17:59,600 --> 00:18:03,239 Speaker 1: this academic at Davos a couple of years ago. UM 317 00:18:03,440 --> 00:18:06,359 Speaker 1: Davos of course the sort of the main gathering point 318 00:18:06,480 --> 00:18:10,080 Speaker 1: for the world corporate elite, and this academic came in 319 00:18:10,200 --> 00:18:12,240 Speaker 1: and said, you know what, if we're going to talk 320 00:18:12,240 --> 00:18:16,040 Speaker 1: about inequality, we need to talk about tax. If we 321 00:18:16,160 --> 00:18:19,160 Speaker 1: try and have a discussion about inequality without talking about 322 00:18:19,280 --> 00:18:22,359 Speaker 1: tax it's like we're having a discussion about putting out 323 00:18:22,400 --> 00:18:27,040 Speaker 1: a fire. Without talking about water. UM. The tax really 324 00:18:27,119 --> 00:18:29,960 Speaker 1: has to be at the heart of this. UM. Taxes 325 00:18:30,000 --> 00:18:33,639 Speaker 1: on corporations. UM. That's a challenge for any country in 326 00:18:33,720 --> 00:18:37,040 Speaker 1: the world. UM. And of course, as the Biden administration 327 00:18:37,200 --> 00:18:40,760 Speaker 1: is now discovering, if you try and do something globally, 328 00:18:40,920 --> 00:18:43,119 Speaker 1: if you try and say, you know what, we need 329 00:18:43,200 --> 00:18:48,399 Speaker 1: a global minimum to prevent companies shifting profits around to 330 00:18:48,680 --> 00:18:52,560 Speaker 1: dodge paying taxes in the place where they're actually doing business, well, 331 00:18:52,600 --> 00:18:56,399 Speaker 1: that's an even harder discussion. Yeah. Absolutely, especially when you 332 00:18:56,480 --> 00:18:59,280 Speaker 1: have you know, a country like Ireland who only charges 333 00:18:59,320 --> 00:19:03,199 Speaker 1: twelve percent UM and they're happy with it like that. Um, 334 00:19:03,359 --> 00:19:06,240 Speaker 1: they want they want Apple and Google they're paying their 335 00:19:06,240 --> 00:19:09,240 Speaker 1: twelve You gotta guess they make a lot of money 336 00:19:09,600 --> 00:19:11,920 Speaker 1: with that as well. But it's a longer conversation. Tom, 337 00:19:11,920 --> 00:19:13,720 Speaker 1: thanks so much for joining us. Tom or like there 338 00:19:14,080 --> 00:19:16,679 Speaker 1: with his look at our big take, This is Bloomberg. 339 00:19:20,080 --> 00:19:22,679 Speaker 1: I want to get over right now to Kyle Stock 340 00:19:22,840 --> 00:19:26,080 Speaker 1: and just quickly wrap up something that's been obsessing me 341 00:19:26,240 --> 00:19:30,400 Speaker 1: of late, and that is the Ford F one Lightning. 342 00:19:30,760 --> 00:19:33,800 Speaker 1: We first saw the electric pickup truck, I think almost 343 00:19:33,840 --> 00:19:35,760 Speaker 1: by accident when Joe Biden was hanging out at the 344 00:19:35,840 --> 00:19:40,440 Speaker 1: rouge on Wednesday, and I was underwhelmed. But the more 345 00:19:40,640 --> 00:19:43,920 Speaker 1: I look at it, the more stoked I'm getting for 346 00:19:44,040 --> 00:19:49,200 Speaker 1: this electric truck. And it's got huge ramifications for um, 347 00:19:49,440 --> 00:19:51,359 Speaker 1: you know, the entire industry. So Kyle, what do you 348 00:19:51,440 --> 00:19:57,560 Speaker 1: think about it? Yeah, big vehicle for them and everyone. 349 00:19:58,040 --> 00:20:00,200 Speaker 1: For me, it comes down to two things, whichever else 350 00:20:00,320 --> 00:20:03,720 Speaker 1: is talking about. Two is the price, which is shockingly low. 351 00:20:04,440 --> 00:20:07,840 Speaker 1: Starts at forty grand or less. Yeah, and who knows 352 00:20:07,880 --> 00:20:09,920 Speaker 1: how bare bones that one's going to be. But in 353 00:20:10,160 --> 00:20:13,639 Speaker 1: terms of to get in like that's cheaper than the 354 00:20:13,800 --> 00:20:17,760 Speaker 1: new electric Mustang that's you know, after incentives, it's comparable 355 00:20:17,840 --> 00:20:21,720 Speaker 1: with the regular of one. So everyone was surprised about 356 00:20:21,920 --> 00:20:25,359 Speaker 1: that count me as well. And then um, the front, 357 00:20:26,400 --> 00:20:30,480 Speaker 1: the huge it's joking trunk up front, which is just 358 00:20:31,080 --> 00:20:33,400 Speaker 1: brilliant because normally would have to hold a six point 359 00:20:33,440 --> 00:20:35,359 Speaker 1: two later v eight and now it's got nothing in 360 00:20:35,440 --> 00:20:39,560 Speaker 1: there and coolant and spark plugs and all the other 361 00:20:39,680 --> 00:20:41,560 Speaker 1: things that they don't need to worry about now. So 362 00:20:42,800 --> 00:20:47,040 Speaker 1: what I love is that, um, if my power fails 363 00:20:47,280 --> 00:20:52,200 Speaker 1: in some sort of armageddon um or you know, zombie situation, 364 00:20:52,800 --> 00:20:56,200 Speaker 1: this truck can power my house Paul or yours or 365 00:20:56,359 --> 00:21:02,840 Speaker 1: if we live together our house for three days, that's awesome. Yeah, Kyle, 366 00:21:03,080 --> 00:21:05,680 Speaker 1: is this I mean, I mean for the US market, 367 00:21:05,720 --> 00:21:08,040 Speaker 1: it seems to me this U S market doesn't go 368 00:21:08,160 --> 00:21:11,760 Speaker 1: electric until the four electric. I mean that's kind of 369 00:21:11,800 --> 00:21:13,159 Speaker 1: how I feel about it. This is it could be 370 00:21:13,160 --> 00:21:16,240 Speaker 1: a big, big moment. Well that's what's crazy about this. 371 00:21:16,320 --> 00:21:19,160 Speaker 1: I mean everyone's talking about how it, you know, competes 372 00:21:19,160 --> 00:21:22,600 Speaker 1: against other trucks, but honestly, like this thing is going 373 00:21:22,640 --> 00:21:25,000 Speaker 1: to compete against the Honda Accord, it's going to compete 374 00:21:25,040 --> 00:21:28,760 Speaker 1: against everything because there's really you know, there's no guilt anymore. 375 00:21:29,680 --> 00:21:33,200 Speaker 1: Um And I think most people have like a a 376 00:21:33,320 --> 00:21:37,240 Speaker 1: little bit of a secret truck fetish. So my mom 377 00:21:37,359 --> 00:21:41,600 Speaker 1: wants one badly, and as we know, she's right about 378 00:21:41,600 --> 00:21:45,200 Speaker 1: almost everything. I will say, we uh, my wife also 379 00:21:45,400 --> 00:21:47,240 Speaker 1: wants a truck. And it's like a different truck every 380 00:21:47,240 --> 00:21:50,800 Speaker 1: couple of days because Kyle does these Instagram reviews of 381 00:21:50,920 --> 00:21:54,359 Speaker 1: whatever cool vehicle he's driving, and she follows him and 382 00:21:54,400 --> 00:21:56,480 Speaker 1: then she'll he'll do like a review of the Defender, 383 00:21:56,840 --> 00:21:58,760 Speaker 1: and then she'll send me his review and be like, 384 00:21:58,880 --> 00:22:00,680 Speaker 1: we have to get the Defend or look what Kyle 385 00:22:00,760 --> 00:22:03,840 Speaker 1: did on The Defender, so I recommend you follow Kyle 386 00:22:03,920 --> 00:22:06,280 Speaker 1: Stock on Instagram to check out his work. You can 387 00:22:06,320 --> 00:22:11,160 Speaker 1: also get his stories on the Bloomberg terminal. This is Bloomberg. 388 00:22:11,760 --> 00:22:14,840 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 389 00:22:14,880 --> 00:22:18,639 Speaker 1: subscribe and listen to interviews of Apple Podcasts or whatever 390 00:22:18,760 --> 00:22:22,399 Speaker 1: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 391 00:22:22,680 --> 00:22:26,480 Speaker 1: at Matt Miller three. On Fall Sweeney, I'm on Twitter 392 00:22:26,560 --> 00:22:29,400 Speaker 1: at pt Sweeney Before the podcast, you can always catch 393 00:22:29,480 --> 00:22:30,080 Speaker 1: us worldwide