1 00:00:01,800 --> 00:00:04,400 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:04,440 --> 00:00:07,280 Speaker 1: Bloomberg Quick Takes Tim Stanavak. We're here every day bringing 3 00:00:07,280 --> 00:00:09,799 Speaker 1: you the latest news from the world to business and finance, 4 00:00:09,840 --> 00:00:13,600 Speaker 1: plus technology, politics, economics, all harnessing the power of Business 5 00:00:13,640 --> 00:00:17,119 Speaker 1: Week reporters and editors, not to mention our journalists and 6 00:00:17,120 --> 00:00:19,600 Speaker 1: analyst in more than one and twenty countries. You can 7 00:00:19,640 --> 00:00:23,200 Speaker 1: download Bloomberg Business Week and iTunes, SoundCloud, or Bloomberg dot Com. 8 00:00:23,400 --> 00:00:25,120 Speaker 1: You can also listen to our radio show at two 9 00:00:25,160 --> 00:00:27,840 Speaker 1: pm Eastern Time on Bloomberg Radio or watch us on 10 00:00:27,880 --> 00:00:33,959 Speaker 1: YouTube search Bloomberg Global News. We talked about New York 11 00:00:34,000 --> 00:00:36,839 Speaker 1: City receiving its first delivery of the one J and 12 00:00:36,960 --> 00:00:40,760 Speaker 1: J vaccine. But you are seeing Tim vaccine manufacturers facing 13 00:00:40,800 --> 00:00:43,559 Speaker 1: a global shortage of raw materials that actually came from 14 00:00:43,560 --> 00:00:46,120 Speaker 1: the head of the world's biggest vaccine maker and also 15 00:00:46,159 --> 00:00:48,960 Speaker 1: the World Health Organization. So you know here we are. 16 00:00:49,120 --> 00:00:51,559 Speaker 1: You're in. Vaccines are rolling out, but now we're trying 17 00:00:51,600 --> 00:00:54,600 Speaker 1: to find the vaccinators and the places to do it. Yes, 18 00:00:54,680 --> 00:00:56,760 Speaker 1: we've learned over the past few months it is very 19 00:00:56,760 --> 00:00:59,400 Speaker 1: complicated to roll out of vaccine globally, not to mention 20 00:00:59,480 --> 00:01:02,360 Speaker 1: just develop bit in such a short period of time. G. G. 21 00:01:02,480 --> 00:01:04,720 Speaker 1: Grand Ball is Senior Scholar at the Johns Hopkins Center 22 00:01:04,720 --> 00:01:07,080 Speaker 1: for Health Security at the Bloomberg School of Public Health. 23 00:01:07,240 --> 00:01:09,800 Speaker 1: Joins us right now on the phone from Baltimore. GG, 24 00:01:09,920 --> 00:01:13,360 Speaker 1: thanks for joining us. UM, what are you watching right now? 25 00:01:13,360 --> 00:01:15,800 Speaker 1: What is the most important thing when it comes to 26 00:01:15,959 --> 00:01:20,520 Speaker 1: the pandemic recovery? To keep an eye on the vaccination rates? 27 00:01:20,720 --> 00:01:24,720 Speaker 1: For sure? UM? They right now we have in the US, 28 00:01:24,800 --> 00:01:29,240 Speaker 1: we have three vaccines with the use authorization. Hopefully we'll 29 00:01:29,240 --> 00:01:32,960 Speaker 1: have more globally. There's a few others. Um. It's it's 30 00:01:33,000 --> 00:01:35,680 Speaker 1: really just about trying to get as many people vaccinated 31 00:01:35,760 --> 00:01:39,760 Speaker 1: so that um, we can Um that plus masks and 32 00:01:39,800 --> 00:01:43,319 Speaker 1: social distancing spread the stop to spread of this virus. 33 00:01:43,480 --> 00:01:45,240 Speaker 1: We're doing a pretty good job though, right, I mean 34 00:01:45,360 --> 00:01:49,320 Speaker 1: the Bloomberg Vaccine Tracker. As of yesterday, we hit just 35 00:01:49,600 --> 00:01:54,440 Speaker 1: over two million vaccine doses given per day according to 36 00:01:54,480 --> 00:01:58,280 Speaker 1: the seven day rolling average. That's that's a pretty pretty 37 00:01:58,360 --> 00:02:03,360 Speaker 1: good rollout, right. Oh, it's really so encouraging to see, um. 38 00:02:03,400 --> 00:02:06,480 Speaker 1: And and we definitely it couldn't happen at a better time, 39 00:02:06,520 --> 00:02:10,360 Speaker 1: because you know, we have as you know these variants 40 00:02:10,400 --> 00:02:13,320 Speaker 1: that are that are emerging that we're keeping, that we're 41 00:02:13,320 --> 00:02:16,720 Speaker 1: tracking more diligently now UM, and some of them are 42 00:02:16,760 --> 00:02:19,799 Speaker 1: more transmissible. So we really do need to get people 43 00:02:20,280 --> 00:02:23,760 Speaker 1: vaccinated as well as stick with the other stuff UM 44 00:02:23,800 --> 00:02:26,000 Speaker 1: to be able to stop the spread of this virus. 45 00:02:26,080 --> 00:02:27,440 Speaker 1: So g G, this is what I want to know. 46 00:02:27,560 --> 00:02:31,160 Speaker 1: You guys, you scientists, You understand kind of viruses, what 47 00:02:31,200 --> 00:02:33,560 Speaker 1: they can do, how they can mutate, the variants that 48 00:02:33,600 --> 00:02:35,480 Speaker 1: can come out there, and then you've got on the 49 00:02:35,520 --> 00:02:38,640 Speaker 1: other side the vaccine that's fighting it. So what is 50 00:02:38,760 --> 00:02:42,760 Speaker 1: kind of the mix between how quickly we have to 51 00:02:42,800 --> 00:02:47,400 Speaker 1: get x percentage of our population vaccinated to stay ahead 52 00:02:47,440 --> 00:02:50,280 Speaker 1: of the variants. And I know it's never like black 53 00:02:50,320 --> 00:02:53,560 Speaker 1: and white here and very clear, but tell me kind 54 00:02:53,560 --> 00:02:57,240 Speaker 1: of what you are keeping an eye on here. Well, 55 00:02:57,280 --> 00:02:59,480 Speaker 1: there's a lot of people who UM, you know, all 56 00:02:59,480 --> 00:03:02,520 Speaker 1: of these things and models because there's so many variables 57 00:03:02,639 --> 00:03:04,679 Speaker 1: to be able to project how many people need to 58 00:03:04,720 --> 00:03:08,600 Speaker 1: be vaccinated to be able to keep variants of bay etcetera. 59 00:03:08,639 --> 00:03:11,320 Speaker 1: And we have the whole population of children that are 60 00:03:11,360 --> 00:03:14,839 Speaker 1: not even right now being planned to get vaccinated UM, 61 00:03:15,080 --> 00:03:17,440 Speaker 1: and so you know it's going to take a while 62 00:03:17,480 --> 00:03:20,760 Speaker 1: before we get anything towards what we've been you know, 63 00:03:20,760 --> 00:03:24,040 Speaker 1: talking about her immunity or anything like that. UM. But 64 00:03:24,440 --> 00:03:27,160 Speaker 1: so I I just UM would like to see the 65 00:03:27,360 --> 00:03:30,640 Speaker 1: demand UM and supply match up a little better for 66 00:03:30,680 --> 00:03:34,040 Speaker 1: a vaccine and UM and so that you know, people 67 00:03:34,680 --> 00:03:37,720 Speaker 1: pharmacies are more aggressively advertising it and trying to get 68 00:03:37,760 --> 00:03:40,160 Speaker 1: those people who are hesitant to sign up, and and 69 00:03:40,200 --> 00:03:43,560 Speaker 1: to show that these vaccines are have a good safety 70 00:03:43,600 --> 00:03:48,120 Speaker 1: record and that they have really amazing efficacy to be 71 00:03:48,200 --> 00:03:52,360 Speaker 1: able especially to prevent hospitalizations and deaths based on the 72 00:03:52,360 --> 00:03:54,720 Speaker 1: current rate on the modeling that you're seeing, When is 73 00:03:54,720 --> 00:03:57,680 Speaker 1: that equilibrium going to to be reached? When is demand 74 00:03:58,000 --> 00:04:04,000 Speaker 1: not going to exceed supply? UM? I I mean, so 75 00:04:04,240 --> 00:04:07,200 Speaker 1: the President UM said that every adult should be able 76 00:04:07,240 --> 00:04:10,320 Speaker 1: to be vaccinated in the US by May. UM. That 77 00:04:10,360 --> 00:04:14,760 Speaker 1: would be fantastic. I'm also waiting, UM. But then we 78 00:04:14,840 --> 00:04:17,200 Speaker 1: were going to have kids, UM, and there are trials 79 00:04:17,200 --> 00:04:20,360 Speaker 1: that are starting up. I'm hoping that that will be 80 00:04:20,360 --> 00:04:22,400 Speaker 1: before the end of the year that kids can start 81 00:04:22,440 --> 00:04:25,919 Speaker 1: being vaccinated UM. Hopefully much neoner than that. UM. And 82 00:04:25,960 --> 00:04:29,120 Speaker 1: then of course kids have to be vaccinated. Forgive me 83 00:04:29,120 --> 00:04:30,560 Speaker 1: for saying that. But I'm just curious. Do we have 84 00:04:30,640 --> 00:04:34,080 Speaker 1: to have kids vaccinated in order to get hurt immunity? 85 00:04:34,120 --> 00:04:35,520 Speaker 1: And it is that is that got to be part 86 00:04:35,560 --> 00:04:39,599 Speaker 1: of the process. Um, I don't I think that that 87 00:04:39,760 --> 00:04:42,840 Speaker 1: disease could be uh stopped in other ways. I mean, 88 00:04:42,839 --> 00:04:46,080 Speaker 1: we know that we can stop spread of disease with 89 00:04:46,240 --> 00:04:50,320 Speaker 1: you know, good ventilation, masks, etcetera. Um, and and these 90 00:04:50,320 --> 00:04:52,800 Speaker 1: things will change over time. But um, but I think 91 00:04:52,839 --> 00:04:56,160 Speaker 1: it's just pure public health and etcetera. Would be great 92 00:04:56,200 --> 00:04:58,680 Speaker 1: to have kids be vaccinated so that if there are 93 00:04:58,680 --> 00:05:01,719 Speaker 1: any long term effects of the disease, that we're limiting that. 94 00:05:02,320 --> 00:05:05,240 Speaker 1: Um in children? How do you do clinical trial when 95 00:05:05,279 --> 00:05:07,120 Speaker 1: it comes to a vaccine on a on a child? 96 00:05:07,160 --> 00:05:08,800 Speaker 1: I mean these are people who are under eighteen and 97 00:05:08,800 --> 00:05:10,760 Speaker 1: have to get consent from their parents obviously, but how 98 00:05:10,960 --> 00:05:15,960 Speaker 1: does that work? I mean that sounds very complicated and sticky. Well, Um, 99 00:05:16,600 --> 00:05:19,719 Speaker 1: kids participate in clinical trials all the time. UM and 100 00:05:19,880 --> 00:05:22,600 Speaker 1: uh and so yes does involve consent for their parents? 101 00:05:22,720 --> 00:05:25,920 Speaker 1: And um, there are I mean not just this uh 102 00:05:26,000 --> 00:05:29,479 Speaker 1: these vaccines, but all kinds of medical treatments. UM. Where 103 00:05:29,680 --> 00:05:33,240 Speaker 1: the balance are sometimes kids uh, you know, especially older 104 00:05:33,279 --> 00:05:36,480 Speaker 1: kids really enjoy participating in it and UH and giving 105 00:05:36,520 --> 00:05:39,880 Speaker 1: back and participating in the science. So it's something everyone 106 00:05:39,920 --> 00:05:42,960 Speaker 1: can do. UM. I have my one of my kids 107 00:05:43,080 --> 00:05:45,240 Speaker 1: in a in a brain study to study the team 108 00:05:45,760 --> 00:05:49,000 Speaker 1: the teen brain for for ten years, and so it's 109 00:05:49,080 --> 00:05:53,919 Speaker 1: kind of fun and interesting testing. How important is it 110 00:05:53,960 --> 00:05:58,200 Speaker 1: that we continue to do testing for the virus? Yeah, 111 00:05:58,240 --> 00:06:02,239 Speaker 1: it's really important, and strangely, for a lot of different reasons, 112 00:06:02,240 --> 00:06:04,520 Speaker 1: people are still trying to figure out. Testing has been 113 00:06:04,560 --> 00:06:08,640 Speaker 1: down recently, so UM we need testing to be able 114 00:06:08,680 --> 00:06:11,160 Speaker 1: to figure out, you know, not only how many people 115 00:06:11,240 --> 00:06:14,359 Speaker 1: are positive and how how many cases we have, but 116 00:06:14,520 --> 00:06:18,160 Speaker 1: also UM, an increasing number of those positive cases are 117 00:06:18,200 --> 00:06:21,080 Speaker 1: getting sequenced so that we can keep a track on 118 00:06:21,120 --> 00:06:24,400 Speaker 1: the variants so and see which, you know, new ones 119 00:06:24,440 --> 00:06:28,279 Speaker 1: are emerging and which ones are are more present than 120 00:06:28,400 --> 00:06:31,080 Speaker 1: than we'd like them to be. So UM testing is 121 00:06:31,120 --> 00:06:34,279 Speaker 1: really important. But for whatever reason, whether it's bad weather 122 00:06:34,760 --> 00:06:38,200 Speaker 1: or people are sick of this, or resources are devoted 123 00:06:38,240 --> 00:06:43,040 Speaker 1: to vaccines versus testing, it has been down recently. I 124 00:06:43,040 --> 00:06:45,480 Speaker 1: I wonder if that's also because people are seeing numbers 125 00:06:45,520 --> 00:06:48,000 Speaker 1: go down, and maybe it's down also because you know, 126 00:06:48,040 --> 00:06:50,880 Speaker 1: we aren't really around any major holidays like we were 127 00:06:51,240 --> 00:06:54,240 Speaker 1: a few weeks ago. UM g D I I do 128 00:06:54,520 --> 00:06:58,480 Speaker 1: wonder when it comes to this, just what things look 129 00:06:58,520 --> 00:07:00,520 Speaker 1: like on the other side. I ran to a friend 130 00:07:00,520 --> 00:07:02,360 Speaker 1: of mine in the lobby of our building yesterday. She 131 00:07:02,480 --> 00:07:06,000 Speaker 1: lives really close to us, she's a neighbor. It's been 132 00:07:06,000 --> 00:07:07,640 Speaker 1: a year since we've gotten to hang out with with 133 00:07:07,680 --> 00:07:10,240 Speaker 1: her and her family. And I was saying, hey, we're 134 00:07:10,240 --> 00:07:12,480 Speaker 1: so close, like you know, just a few months, and 135 00:07:12,520 --> 00:07:14,280 Speaker 1: she looked at me, gave me this look, and she's like, no, 136 00:07:14,440 --> 00:07:16,960 Speaker 1: this is going to be with us forever. UM, where 137 00:07:16,960 --> 00:07:20,920 Speaker 1: do you fall? Well, I think some things will be 138 00:07:21,040 --> 00:07:23,920 Speaker 1: will be different forever and and it'll probably take us 139 00:07:23,920 --> 00:07:26,440 Speaker 1: some time to realize just how much thing have changed 140 00:07:26,520 --> 00:07:29,640 Speaker 1: and what's UM, what's going to stick around? UM? But 141 00:07:29,840 --> 00:07:33,160 Speaker 1: I mean post vaccine and when cases are low, I 142 00:07:33,200 --> 00:07:36,120 Speaker 1: think things are going to be a lot better for 143 00:07:36,120 --> 00:07:40,160 Speaker 1: for most people with UM. I think you know the 144 00:07:40,200 --> 00:07:43,800 Speaker 1: recommendations for people who are vaccinated to continue to wear masks. 145 00:07:43,960 --> 00:07:47,640 Speaker 1: It's because community transmission is still so high. So the 146 00:07:47,760 --> 00:07:51,240 Speaker 1: vaccine doesn't protect you from getting infected, it protects you 147 00:07:51,320 --> 00:07:54,880 Speaker 1: from the combing to that illness and UM. And so 148 00:07:55,280 --> 00:07:57,800 Speaker 1: we're still trying to figure out what that means for everyone. 149 00:07:57,960 --> 00:08:01,320 Speaker 1: But it should really help to reduce bread and when 150 00:08:01,360 --> 00:08:03,760 Speaker 1: spread goes down, then we all benefit and I think 151 00:08:03,760 --> 00:08:05,480 Speaker 1: we'll be able to hang out a lot more. But 152 00:08:05,560 --> 00:08:08,800 Speaker 1: g two Tim's point and Tim's friends point. You know, 153 00:08:09,360 --> 00:08:12,360 Speaker 1: there's a story on the Bloomberg about you know, where 154 00:08:12,360 --> 00:08:14,920 Speaker 1: we are and hunting for the coronavirus's origin. We still 155 00:08:14,920 --> 00:08:18,680 Speaker 1: don't really exactly know where this came from or how 156 00:08:18,720 --> 00:08:21,360 Speaker 1: it came about. At the same time, we have talked 157 00:08:21,360 --> 00:08:23,920 Speaker 1: to a lot of folks too the virus, you know, 158 00:08:24,040 --> 00:08:26,480 Speaker 1: hunters that are out there that said there's another two 159 00:08:26,520 --> 00:08:28,880 Speaker 1: hundred or I don't know how many that are out 160 00:08:28,880 --> 00:08:32,480 Speaker 1: there that can be just as problematic. I mean, do 161 00:08:32,559 --> 00:08:34,800 Speaker 1: we need to then, ultimately going forward, live in a 162 00:08:34,840 --> 00:08:37,200 Speaker 1: world where we're constantly on kind of pins and needles 163 00:08:37,200 --> 00:08:39,959 Speaker 1: and worried about wait a minute, where did you come from? 164 00:08:40,280 --> 00:08:44,079 Speaker 1: Maybe you brought something into this country. Well, I hope 165 00:08:44,120 --> 00:08:46,880 Speaker 1: that we are doing we'll do a lot better job 166 00:08:47,080 --> 00:08:51,000 Speaker 1: of figuring out and responding to pathogens as they emerge 167 00:08:51,080 --> 00:08:54,320 Speaker 1: a lot faster. I mean, the vaccine, it's amazing we 168 00:08:54,400 --> 00:08:57,079 Speaker 1: have I mean vaccine, multiple vaccines in a year. I 169 00:08:57,080 --> 00:08:59,160 Speaker 1: don't want to say that that isn't amazing, that it's 170 00:08:59,200 --> 00:09:03,600 Speaker 1: totally amazing, but UM, you know, the science of making 171 00:09:03,600 --> 00:09:05,959 Speaker 1: sure that we, you know, figure out what things are 172 00:09:06,000 --> 00:09:10,160 Speaker 1: likely to emerge. UM, maybe have a more broad coronavirus 173 00:09:10,240 --> 00:09:13,840 Speaker 1: coronavirus vaccine that can protect against multiple types of strains 174 00:09:13,880 --> 00:09:17,040 Speaker 1: that we think are going to emerge. All these things 175 00:09:17,080 --> 00:09:20,720 Speaker 1: require UM a lot more dedication of resources and thinking 176 00:09:20,800 --> 00:09:24,280 Speaker 1: about all of these health security issues as really a 177 00:09:24,400 --> 00:09:28,720 Speaker 1: national security priority. I mean, this is this is devastating 178 00:09:28,720 --> 00:09:31,520 Speaker 1: to the US and UM, and we could have been 179 00:09:31,920 --> 00:09:35,079 Speaker 1: better prepared. G. We only have like fifteen seconds left 180 00:09:35,200 --> 00:09:38,240 Speaker 1: because MR and A vaccines are are being used now 181 00:09:38,360 --> 00:09:40,600 Speaker 1: and we were able to develop them so quickly. Does 182 00:09:40,640 --> 00:09:43,360 Speaker 1: this mean in the future we can respond very very quickly. 183 00:09:44,559 --> 00:09:46,480 Speaker 1: I hope. So, I hope. So. It's so exciting that 184 00:09:46,520 --> 00:09:50,000 Speaker 1: those vaccines were so quick to develop and that they 185 00:09:50,000 --> 00:09:52,160 Speaker 1: work so well. I think it's going to be a 186 00:09:52,200 --> 00:09:55,320 Speaker 1: new age for for that kind of technology and vaccines 187 00:09:55,360 --> 00:09:58,439 Speaker 1: in general. Yeah. Right. The collaboration too, and the way 188 00:09:58,440 --> 00:10:00,280 Speaker 1: they were able to move so quickly. G. Thank you 189 00:10:00,360 --> 00:10:03,320 Speaker 1: so much. UM. G. G. Gronville, Senior scholar at Johns 190 00:10:03,320 --> 00:10:05,800 Speaker 1: Hopkins Center for Health Security at Bloomberg School of Public 191 00:10:05,880 --> 00:10:08,520 Speaker 1: Health on the phone from Baltimore, and just a reminder, 192 00:10:08,559 --> 00:10:11,200 Speaker 1: of course, uh, the school supported by Michael R. Bloomberg, 193 00:10:11,200 --> 00:10:15,200 Speaker 1: founder of Bloomberg LP and Bloomberg Philanthropies. This is Bloomberg 194 00:10:15,240 --> 00:10:18,920 Speaker 1: Business Week with Carol Masser and Bloomberg Quick Takes Tim 195 00:10:18,960 --> 00:10:22,880 Speaker 1: Stinovic from Bloomberg Radio. Well, the cover story in the 196 00:10:22,920 --> 00:10:25,920 Speaker 1: magazine this week, we mentioned it earlier. It's about fer 197 00:10:26,080 --> 00:10:29,320 Speaker 1: Fightser uh and really kind of their vaccine capitalism and 198 00:10:29,400 --> 00:10:32,520 Speaker 1: going inside Fiser's I love this headline fast fraud and 199 00:10:32,800 --> 00:10:35,680 Speaker 1: lucrative vaccine distribution, and I really feel like they're being 200 00:10:36,320 --> 00:10:38,400 Speaker 1: given accolades, but they're also getting a bunch of heat. 201 00:10:38,440 --> 00:10:40,840 Speaker 1: As we said earlier, Yeah, they are. Look, there is 202 00:10:40,880 --> 00:10:44,280 Speaker 1: no playbook to how a company responds to a pandemic, 203 00:10:44,320 --> 00:10:47,400 Speaker 1: and that's that's pretty much. That's that's what one of 204 00:10:47,400 --> 00:10:49,760 Speaker 1: the things that the piece goes into. Joining us right 205 00:10:49,800 --> 00:10:52,120 Speaker 1: now on the access line is Joel Webber, editor at 206 00:10:52,120 --> 00:10:55,880 Speaker 1: Bloomberg Business Week, and Stephanie Baker, one of the reporters 207 00:10:55,920 --> 00:11:00,600 Speaker 1: on this piece, Financial Investigation, senior writer at Bloomberg News. Joel, 208 00:11:00,679 --> 00:11:03,000 Speaker 1: why was was this the the perfect story for the 209 00:11:03,000 --> 00:11:08,120 Speaker 1: cover this week. Well, I think the Fighter um shot 210 00:11:08,360 --> 00:11:13,400 Speaker 1: and vaccine is one of the biggest success stories ever Frankly, 211 00:11:13,440 --> 00:11:17,080 Speaker 1: I mean, like, to go from a pandemic to a 212 00:11:17,160 --> 00:11:22,000 Speaker 1: vaccine in a year is is a wonder and we've 213 00:11:22,120 --> 00:11:25,000 Speaker 1: we've written about that. But what we hadn't ever explored 214 00:11:25,440 --> 00:11:29,760 Speaker 1: UM and with Stephanie and her co author Cynthia drove 215 00:11:29,800 --> 00:11:32,920 Speaker 1: into in this story is is sort of behind the 216 00:11:33,040 --> 00:11:38,600 Speaker 1: scenes UM logistics and distribution challenges and and also keep 217 00:11:38,600 --> 00:11:40,960 Speaker 1: in mind here like the Fighter is a publicly traded 218 00:11:41,000 --> 00:11:43,319 Speaker 1: company that did not take money from the government and 219 00:11:43,679 --> 00:11:47,079 Speaker 1: because of that, they didn't have any strings on on 220 00:11:47,120 --> 00:11:49,600 Speaker 1: how they went about even pricing that, and that I 221 00:11:49,640 --> 00:11:53,480 Speaker 1: thought was a really interesting angle, uh and one that 222 00:11:53,640 --> 00:11:56,640 Speaker 1: you know speaks to also just the legacy of what 223 00:11:56,720 --> 00:12:01,040 Speaker 1: we know about the pharmaceutical industry, which pricing has always 224 00:12:01,040 --> 00:12:04,120 Speaker 1: been an issue with and it was actually the issue 225 00:12:04,200 --> 00:12:08,400 Speaker 1: that Albert Borla, who's the CEO of Fightser, was expecting 226 00:12:08,520 --> 00:12:11,120 Speaker 1: to deal with when he took over the job at 227 00:12:11,200 --> 00:12:15,880 Speaker 1: FISER a year before the pandemic happened. So so Stephanielle, 228 00:12:15,880 --> 00:12:17,520 Speaker 1: I just want to turn it over to you because 229 00:12:17,760 --> 00:12:20,200 Speaker 1: I thought so much of the reporting in this was 230 00:12:20,800 --> 00:12:24,520 Speaker 1: was spot on and really interesting. And tell us, how 231 00:12:24,559 --> 00:12:30,000 Speaker 1: does FIGHTSER going to go about deciding who gets the vaccine? Well, 232 00:12:30,160 --> 00:12:33,720 Speaker 1: you know, it's a pretty opaque process still despite all 233 00:12:33,760 --> 00:12:37,280 Speaker 1: our digging. I think it is a mix of your 234 00:12:37,320 --> 00:12:39,360 Speaker 1: place in the queue, when did you get your order 235 00:12:39,400 --> 00:12:45,320 Speaker 1: in your order size, production, forecast calls from world leaders. Um. 236 00:12:45,400 --> 00:12:49,600 Speaker 1: You know, we went into detail about how Israel managed 237 00:12:49,640 --> 00:12:52,480 Speaker 1: to get its hands on so many doses. And as 238 00:12:52,480 --> 00:12:55,079 Speaker 1: you know, Israel is a world leader in terms of 239 00:12:55,160 --> 00:12:58,600 Speaker 1: vaccination rates and that is thanks to FISER because they 240 00:12:58,600 --> 00:13:02,880 Speaker 1: are almost exclusively used in FISER for the vaccination campaign. 241 00:13:03,240 --> 00:13:06,800 Speaker 1: And UH Israel's Prime Minister of Benjamin Netanyah, who spoke 242 00:13:06,880 --> 00:13:11,280 Speaker 1: to UH FISER CEO Albert Bola more than twenty times. 243 00:13:11,440 --> 00:13:15,640 Speaker 1: Um uh. And you know one of the reasons why 244 00:13:15,720 --> 00:13:20,360 Speaker 1: Israel got priority access was well a paid more paid 245 00:13:20,360 --> 00:13:23,400 Speaker 1: about thirty dollars ago, about more than the US did, 246 00:13:23,559 --> 00:13:27,800 Speaker 1: and be it Um offered to use Israel as a 247 00:13:27,880 --> 00:13:31,160 Speaker 1: real world case study for how effective the vaccine is 248 00:13:31,960 --> 00:13:35,720 Speaker 1: and that has UM generated a stream of positive headlines 249 00:13:35,760 --> 00:13:38,760 Speaker 1: about how effective the Fiser vaccine is. Um. You know, 250 00:13:39,400 --> 00:13:43,120 Speaker 1: Israel was vaccinating sixteen to eighteen year olds at a 251 00:13:43,200 --> 00:13:47,200 Speaker 1: time when Europe was still waiting to vaccinate eight year olds. 252 00:13:47,200 --> 00:13:49,000 Speaker 1: And that's kind of what we went into is how 253 00:13:49,000 --> 00:13:55,000 Speaker 1: did that happen? Um? Why was Europe so behind in 254 00:13:55,120 --> 00:13:59,160 Speaker 1: terms of Fiser's distribution, and and why did Israel pull ahead? 255 00:13:59,240 --> 00:14:03,560 Speaker 1: And really came down to these few things. Uh, the 256 00:14:03,640 --> 00:14:07,000 Speaker 1: EU European Union of course was late to place their order. 257 00:14:07,040 --> 00:14:11,080 Speaker 1: That was one factor. But um, you know, Israel obviously 258 00:14:11,120 --> 00:14:14,679 Speaker 1: offered a very unique opportunity for the company to showcase 259 00:14:14,720 --> 00:14:17,960 Speaker 1: how great their macnine is. Yeah, exactly. There's a line 260 00:14:18,000 --> 00:14:20,720 Speaker 1: in your story, um, the story that you and your 261 00:14:20,760 --> 00:14:24,840 Speaker 1: colleagues did, Stephanie, where you talk about Fiser not bound 262 00:14:24,840 --> 00:14:29,560 Speaker 1: to serve a global health agenda. Um, but having said 263 00:14:29,600 --> 00:14:32,000 Speaker 1: that that there will come a day where there will 264 00:14:32,040 --> 00:14:34,520 Speaker 1: be an autopsy of the pandemic and that one of 265 00:14:34,520 --> 00:14:37,040 Speaker 1: the main questions will be how a single company came 266 00:14:37,080 --> 00:14:41,120 Speaker 1: to hold such power over so many Because Fiser is 267 00:14:41,160 --> 00:14:45,880 Speaker 1: in that position. Yeah, absolutely, I mean, I think Fiser 268 00:14:46,000 --> 00:14:50,120 Speaker 1: really stands out because it's the biggest player taking a 269 00:14:50,120 --> 00:14:53,440 Speaker 1: commercial approach to COVID vaccines. Obviously, there are other players 270 00:14:53,480 --> 00:14:56,240 Speaker 1: on the market. There's Maderna. They don't really have the 271 00:14:56,280 --> 00:14:59,880 Speaker 1: capacity to produce at the level that Fiser does. UM. 272 00:15:00,000 --> 00:15:03,680 Speaker 1: There's Astra Zeneca, which does have a huge production capability, 273 00:15:03,800 --> 00:15:06,480 Speaker 1: but they've promised to sell their vaccine on a not 274 00:15:06,640 --> 00:15:08,720 Speaker 1: for profit basis for just a few dollars of dose 275 00:15:09,320 --> 00:15:13,480 Speaker 1: during the pandemic UM. So Fiser's really cut a very 276 00:15:13,480 --> 00:15:16,240 Speaker 1: commercial approach to this. And you know, when I was 277 00:15:16,280 --> 00:15:19,880 Speaker 1: looking at vaccine access, who was getting shots, who was 278 00:15:19,920 --> 00:15:24,280 Speaker 1: behind you know, I realized that Fiser didn't really didn't 279 00:15:24,320 --> 00:15:28,080 Speaker 1: finalize their deal with Kovacs this who back to facility 280 00:15:28,120 --> 00:15:32,440 Speaker 1: to distribute vaccines to low income countries until January and 281 00:15:32,520 --> 00:15:35,320 Speaker 1: it was only for about forty million doses. That was 282 00:15:35,640 --> 00:15:39,720 Speaker 1: two percent of visors projected output this year. And just 283 00:15:39,760 --> 00:15:42,040 Speaker 1: to put that into context, Astra did a deal for 284 00:15:42,080 --> 00:15:45,280 Speaker 1: a hundred and seventy million doses. Johnson and Johnson has 285 00:15:45,280 --> 00:15:49,320 Speaker 1: a preliminary deal with Kovacs for five hundred million, So 286 00:15:49,360 --> 00:15:51,360 Speaker 1: that really kind of puts it into perspective that they're 287 00:15:51,360 --> 00:15:54,800 Speaker 1: pushing this out on a commercial basis, doing bilateral deals 288 00:15:54,800 --> 00:15:58,600 Speaker 1: with countries. More than sixty countries have signed up and 289 00:15:58,680 --> 00:16:00,360 Speaker 1: we still don't know a lot. You know, there's a 290 00:16:00,400 --> 00:16:01,880 Speaker 1: lot that we set out to try to find out 291 00:16:01,880 --> 00:16:03,720 Speaker 1: that we didn't we didn't get to the bottom of 292 00:16:03,840 --> 00:16:05,800 Speaker 1: and we're going to continue to record it out to 293 00:16:05,840 --> 00:16:10,040 Speaker 1: try to find out exactly how this system worked. So, 294 00:16:10,280 --> 00:16:15,240 Speaker 1: just on the idea of vaccine capitalism, Stephanie, how does 295 00:16:15,320 --> 00:16:19,640 Speaker 1: Fightser's efforts and money money making abilities and all that 296 00:16:19,720 --> 00:16:24,080 Speaker 1: compared with with other uh, with the other vaccine efforts 297 00:16:24,120 --> 00:16:25,760 Speaker 1: that are out there and staff we only have about 298 00:16:25,800 --> 00:16:31,200 Speaker 1: thirty seconds here. Unfortunately, well you know it it is um, 299 00:16:31,240 --> 00:16:33,760 Speaker 1: it is looking at a commercial approach. It is looking 300 00:16:33,800 --> 00:16:37,200 Speaker 1: at a post pandemic approach as well, where it's updating 301 00:16:37,400 --> 00:16:40,960 Speaker 1: it's vaccine so it can tackle these new mutant variants. 302 00:16:41,440 --> 00:16:43,520 Speaker 1: And I think it's looking at a at a way 303 00:16:43,560 --> 00:16:46,120 Speaker 1: to up the price when and um, we're in a 304 00:16:46,160 --> 00:16:49,960 Speaker 1: post pandemic world. Um, you know, it will still probably 305 00:16:50,000 --> 00:16:53,240 Speaker 1: be you know, charging kind of more commercial rates than 306 00:16:53,360 --> 00:16:57,240 Speaker 1: than Astro Seneca and Johnson and Johnson. So I think 307 00:16:57,240 --> 00:16:59,760 Speaker 1: that's how it stands out. All right, We're gonna leave 308 00:16:59,760 --> 00:17:02,400 Speaker 1: at that. Listen, this is a must read. There's so much. 309 00:17:02,400 --> 00:17:05,080 Speaker 1: As Joel mentioned, the reporting on this is just killer. 310 00:17:05,080 --> 00:17:09,119 Speaker 1: Stephanie Baker, Financial Investigation Senior writer at Bloomberg News or 311 00:17:09,160 --> 00:17:12,160 Speaker 1: thanks to her along with Joel Webber, editor Bloomberg business Week, 312 00:17:12,520 --> 00:17:17,320 Speaker 1: it's the cover story. This is Bloomberg Business Week with 313 00:17:17,400 --> 00:17:22,119 Speaker 1: Carol Messer and Bloomberg Quick Takes Tim Stinovich from Bloomberg Radio. 314 00:17:22,560 --> 00:17:24,800 Speaker 1: So we've got a little check on tech right now 315 00:17:24,840 --> 00:17:28,199 Speaker 1: because Twitter having a plan to fact check tweets. I 316 00:17:28,200 --> 00:17:29,960 Speaker 1: think this is something do you guys talked about on 317 00:17:30,040 --> 00:17:32,600 Speaker 1: Quickcake right? Well, you know, I gotta I gotta be honest. 318 00:17:32,640 --> 00:17:34,520 Speaker 1: We were trying our hardest to get Kurt on the 319 00:17:34,520 --> 00:17:37,520 Speaker 1: show today and I think he was busy, which is okay, Kurt, 320 00:17:37,520 --> 00:17:40,199 Speaker 1: because we got Kurt now. Yeah, but thank god you 321 00:17:40,240 --> 00:17:43,000 Speaker 1: mentioned it. Bloomberg Tech reporter Kurt Wagner joining us on 322 00:17:43,000 --> 00:17:44,479 Speaker 1: the phone. We're gonna talk about Twitter. Were also going 323 00:17:44,520 --> 00:17:47,560 Speaker 1: to talk about Square doing a deal in the music industry, 324 00:17:47,560 --> 00:17:52,199 Speaker 1: but let's start with Twitter fact check tweets. Tell us 325 00:17:52,200 --> 00:17:54,800 Speaker 1: about this and their plan. Is it a good one? 326 00:17:57,480 --> 00:18:00,320 Speaker 1: Because often times when you think of fact can you 327 00:18:00,320 --> 00:18:02,760 Speaker 1: think of the route that Facebook is taking, which is 328 00:18:03,160 --> 00:18:07,320 Speaker 1: they're partnering with you know, outside experts, right. But Twitter's 329 00:18:07,359 --> 00:18:10,600 Speaker 1: idea here, it's called bird watch, and what they want 330 00:18:10,640 --> 00:18:14,240 Speaker 1: to do is turn all of their users into pseudo 331 00:18:14,280 --> 00:18:16,800 Speaker 1: fact checkers. And so if you're on Twitter and you 332 00:18:16,880 --> 00:18:19,560 Speaker 1: come across a tweet that you know looks like it 333 00:18:19,600 --> 00:18:22,959 Speaker 1: needs more context or it needs additional information, you can 334 00:18:23,000 --> 00:18:26,320 Speaker 1: actually submit a note that could be attached to that 335 00:18:26,359 --> 00:18:29,360 Speaker 1: tweet kind of um, you know, fact check it yourself. 336 00:18:29,400 --> 00:18:31,520 Speaker 1: And so they want to turn their entire user base 337 00:18:31,640 --> 00:18:34,200 Speaker 1: into pseudo fact checkers. Okay, So when I think about this, 338 00:18:34,240 --> 00:18:36,720 Speaker 1: I think of Wikipedia, and you know, this is a 339 00:18:36,760 --> 00:18:40,760 Speaker 1: place where where that actually works pretty well on Wikipedia, 340 00:18:40,840 --> 00:18:43,919 Speaker 1: but it doesn't translate to other corners of the Internet. 341 00:18:43,960 --> 00:18:47,080 Speaker 1: It hasn't worked well to stop disinformation from spreading on 342 00:18:47,080 --> 00:18:50,600 Speaker 1: the platforms that that you write about so much. What 343 00:18:50,640 --> 00:18:54,520 Speaker 1: makes Twitter think it will work on Twitter? Well? I 344 00:18:54,560 --> 00:18:57,160 Speaker 1: think that they would argue that they already see people 345 00:18:57,200 --> 00:19:00,159 Speaker 1: doing this, they just don't do it in this exact format, right. 346 00:19:00,200 --> 00:19:02,679 Speaker 1: I mean, how often have you've seen someone reply to 347 00:19:02,760 --> 00:19:05,080 Speaker 1: a tweet and and say, hey, you know this is wrong, 348 00:19:05,160 --> 00:19:08,320 Speaker 1: or hey you you didn't mention x, or they quote 349 00:19:08,359 --> 00:19:11,000 Speaker 1: tweet it right and they had their own commentary that way. 350 00:19:11,280 --> 00:19:13,920 Speaker 1: So Twitter would say, hey, listen, people are already doing 351 00:19:13,920 --> 00:19:16,159 Speaker 1: a version of this. We just haven't really you know, 352 00:19:16,200 --> 00:19:19,359 Speaker 1: built it as its own kind of fact checking product, 353 00:19:19,760 --> 00:19:21,600 Speaker 1: and they think that if they do that, they can 354 00:19:21,680 --> 00:19:24,200 Speaker 1: kind of take all of those inputs that people are 355 00:19:24,240 --> 00:19:27,040 Speaker 1: already providing, which just make them easier for other people 356 00:19:27,080 --> 00:19:29,040 Speaker 1: to find. So one of the challenging things about this 357 00:19:29,480 --> 00:19:31,679 Speaker 1: about fact checking on Twitter as it as it stands 358 00:19:31,680 --> 00:19:35,560 Speaker 1: now is oftentimes the tweet with the misinformation gets retweeted 359 00:19:35,680 --> 00:19:37,880 Speaker 1: and so many more times, and it gets so much 360 00:19:37,920 --> 00:19:40,840 Speaker 1: more engagement than any corrected tweet or any sort of 361 00:19:40,840 --> 00:19:43,440 Speaker 1: fact check that is a reply. How does Twitter handle 362 00:19:43,560 --> 00:19:49,080 Speaker 1: that well in this instance, So, imagine a hundred people 363 00:19:49,800 --> 00:19:52,400 Speaker 1: submit a note for a particular tweet, right Twitter would 364 00:19:52,480 --> 00:19:55,480 Speaker 1: use an algorithm to basically pick the one or two 365 00:19:55,880 --> 00:19:59,840 Speaker 1: most helpful replies to that, and then they would actually 366 00:20:00,160 --> 00:20:03,480 Speaker 1: pend those notes to the original tweets. So, in theory, 367 00:20:03,640 --> 00:20:07,560 Speaker 1: anytime that that tweet is sent around, if it's retweeted, 368 00:20:07,600 --> 00:20:11,560 Speaker 1: even if it's screenshot, at somehow they want those notes, 369 00:20:11,640 --> 00:20:15,639 Speaker 1: you know, those replies to exist with the original tweets 370 00:20:15,640 --> 00:20:17,560 Speaker 1: so that you would see them side by side. It's 371 00:20:17,600 --> 00:20:19,919 Speaker 1: a little bit clunky right now, because again it doesn't 372 00:20:20,000 --> 00:20:23,000 Speaker 1: exist just yet, but at least in sirie, all of 373 00:20:23,040 --> 00:20:25,440 Speaker 1: the notes and the fact checks would kind of ride 374 00:20:25,440 --> 00:20:30,399 Speaker 1: along with the original. You know, it's funny when Tim said, uh, Wikipedia, 375 00:20:30,560 --> 00:20:32,119 Speaker 1: I thought of that too, And I also thought of 376 00:20:32,320 --> 00:20:34,800 Speaker 1: um ways, like this whole idea of community involvement, like 377 00:20:34,840 --> 00:20:36,760 Speaker 1: you know, you're saying when there's a cop ground or 378 00:20:36,800 --> 00:20:39,640 Speaker 1: there's a traffic accident, or you know, like you don't 379 00:20:39,680 --> 00:20:41,080 Speaker 1: have to be a part of it, but you do, 380 00:20:41,280 --> 00:20:43,280 Speaker 1: you like you kind of want to help out. Could 381 00:20:43,320 --> 00:20:47,080 Speaker 1: this possibly set the stage for a model going forward 382 00:20:47,119 --> 00:20:51,280 Speaker 1: for social in terms of policing itself. I think that 383 00:20:51,320 --> 00:20:54,320 Speaker 1: would be the hope if this does work. I mean, 384 00:20:54,520 --> 00:20:58,760 Speaker 1: why not implement this on Facebook right or in Instagram. 385 00:20:58,800 --> 00:21:01,320 Speaker 1: I think that we're looking right now at a bunch 386 00:21:01,320 --> 00:21:04,320 Speaker 1: of regulators in Washington who want to change the rules 387 00:21:04,359 --> 00:21:07,800 Speaker 1: around speech online, and we're seeing companies try to come 388 00:21:07,840 --> 00:21:11,320 Speaker 1: up with creative ways to you know, basically appease them 389 00:21:11,320 --> 00:21:14,399 Speaker 1: without necessarily changing the rules. And so I think this 390 00:21:14,440 --> 00:21:16,879 Speaker 1: is one of those examples where Twitter saying, hey, we're 391 00:21:16,880 --> 00:21:19,399 Speaker 1: gonna we're gonna give this a shot, and in this works, 392 00:21:19,480 --> 00:21:22,440 Speaker 1: maybe this is the best way to sack check or police. 393 00:21:22,520 --> 00:21:25,199 Speaker 1: You know, these big platforms online and and we'll do it, 394 00:21:25,240 --> 00:21:27,560 Speaker 1: and we'll let you know the regulators decide whether or 395 00:21:27,560 --> 00:21:30,200 Speaker 1: not they want to require other companies to do the same. Hey, Kurt, 396 00:21:30,200 --> 00:21:32,720 Speaker 1: I want to hit another story that you filed earlier 397 00:21:32,720 --> 00:21:36,840 Speaker 1: today about the music service title Square buying the company 398 00:21:36,960 --> 00:21:39,280 Speaker 1: for close to three million dollars in a stock in 399 00:21:39,320 --> 00:21:42,080 Speaker 1: cash deal. When I tweeted this out this morning, Kurt, 400 00:21:42,200 --> 00:21:44,560 Speaker 1: somebody replied to me and said, Oh, I had forgotten 401 00:21:44,600 --> 00:21:47,359 Speaker 1: about Title that even existed. This is this is I 402 00:21:47,359 --> 00:21:49,159 Speaker 1: think a head scratcher of a deal for a lot 403 00:21:49,240 --> 00:21:51,720 Speaker 1: of people. What is Square going to do with Title? 404 00:21:51,840 --> 00:21:53,720 Speaker 1: Oh and I'm kind of bearing the lead here. Jay 405 00:21:53,800 --> 00:21:57,520 Speaker 1: Z is joining squares board. Oops. Right, yeah, you may 406 00:21:57,520 --> 00:21:59,960 Speaker 1: have heard of jay Z before. Yeah, going to be 407 00:22:00,119 --> 00:22:03,120 Speaker 1: involved now. Um No, I think it is a little 408 00:22:03,119 --> 00:22:05,159 Speaker 1: bit of a head scratcher on the surface, But all 409 00:22:05,240 --> 00:22:08,560 Speaker 1: kind of explain how Squares thinking of this, right, which 410 00:22:08,560 --> 00:22:12,119 Speaker 1: is that they're saying, listen, we have built an entire 411 00:22:12,320 --> 00:22:19,040 Speaker 1: business around helping entrepreneurs, small businesses, you know, build their business. Well, 412 00:22:19,320 --> 00:22:22,520 Speaker 1: musicians are entrepreneurs as well, and they're trying to build 413 00:22:22,520 --> 00:22:24,439 Speaker 1: a business. They're trying to sell merchandise to trying to 414 00:22:24,440 --> 00:22:27,720 Speaker 1: sell tickets, albums, whatever it may be. And so they 415 00:22:27,760 --> 00:22:30,439 Speaker 1: see this kind of as an extension of what they 416 00:22:30,480 --> 00:22:33,560 Speaker 1: already do, but into a new industry. Now the question 417 00:22:33,640 --> 00:22:36,480 Speaker 1: is did they need to buy a streaming music service 418 00:22:36,480 --> 00:22:38,520 Speaker 1: in order to do that? I would say probably not. 419 00:22:38,960 --> 00:22:41,000 Speaker 1: But when you really think about how much money this is, 420 00:22:41,000 --> 00:22:43,720 Speaker 1: the very small amount of money for a company like Square, 421 00:22:43,960 --> 00:22:45,639 Speaker 1: and if they can get someone like jay Z on 422 00:22:45,680 --> 00:22:48,280 Speaker 1: their board and get someone like jay Z involved in 423 00:22:48,440 --> 00:22:51,439 Speaker 1: kind of this idea of commerce around music, you know, 424 00:22:51,520 --> 00:22:53,639 Speaker 1: that might be a three d dollars well spent. So 425 00:22:53,680 --> 00:22:56,919 Speaker 1: it's a little early to tell um, but it is 426 00:22:56,920 --> 00:22:58,520 Speaker 1: a bit of a head scratcher. But you could see, 427 00:22:58,560 --> 00:23:01,040 Speaker 1: I guess in fury maybe where they're thinking, you don't 428 00:23:01,040 --> 00:23:05,480 Speaker 1: sound convinced just quickly. I'm a little on the fence. 429 00:23:05,560 --> 00:23:08,320 Speaker 1: But you know, I know that you know, Jack Dorsey 430 00:23:08,320 --> 00:23:10,679 Speaker 1: and jay Z are buddy, and so part of me 431 00:23:10,720 --> 00:23:13,159 Speaker 1: wonders how much of this is, you know, one friend 432 00:23:13,600 --> 00:23:16,200 Speaker 1: buying another friends company. But again, it's a small amount 433 00:23:16,240 --> 00:23:19,000 Speaker 1: of money for Squares, so maybe it's the that worth 434 00:23:19,080 --> 00:23:21,720 Speaker 1: taking right right exactly all right, Kurt, thank you so much. 435 00:23:21,760 --> 00:23:24,840 Speaker 1: Kurt Wagner, Technology Porter, Bloomberg News joining us on the 436 00:23:24,880 --> 00:23:27,200 Speaker 1: phone from San Francisco. But it is interesting to see 437 00:23:27,240 --> 00:23:30,119 Speaker 1: some of these kind of collaborations for certainly what I 438 00:23:30,119 --> 00:23:32,960 Speaker 1: would consider the new tech tech companies. Also some cool 439 00:23:32,960 --> 00:23:35,840 Speaker 1: pictures that Square released earlier today of Jay z and 440 00:23:35,840 --> 00:23:37,800 Speaker 1: And and Jack Dorsey. I want to be on that board. 441 00:23:38,640 --> 00:23:45,000 Speaker 1: I'm roam a journal. Yeah, but you let me drive? 442 00:23:45,280 --> 00:23:49,760 Speaker 1: Oh no, no, no no, no, honey, please, I'll do the 443 00:23:49,840 --> 00:23:59,840 Speaker 1: right revel I want to drive, just drive. Good question, 444 00:24:00,080 --> 00:24:12,560 Speaker 1: Let's try the drive to the globe. Thanks Wells on 445 00:24:12,680 --> 00:24:15,320 Speaker 1: Bloomberg Radio. All right, just about eleven minutes left in 446 00:24:15,359 --> 00:24:18,439 Speaker 1: today's trading session. We are seeing stocks certainly off their 447 00:24:18,480 --> 00:24:21,399 Speaker 1: loads of the session, but definitely off their highs of 448 00:24:21,440 --> 00:24:23,960 Speaker 1: the session as well. Let's see what our next guest 449 00:24:24,000 --> 00:24:26,520 Speaker 1: has to say. Brian Jacobson is with US, multi asset 450 00:24:26,560 --> 00:24:30,200 Speaker 1: strategist at Wells Fargo Asset Management six hundred three billion 451 00:24:30,240 --> 00:24:32,440 Speaker 1: dollars in assets under management, with us on the phone 452 00:24:32,480 --> 00:24:35,640 Speaker 1: from Milwaukee, Wisconsin. Hey Brian, good to have you here 453 00:24:35,640 --> 00:24:39,480 Speaker 1: with Tim and myself on Bloomberg. Gotta start with technology. 454 00:24:39,640 --> 00:24:42,000 Speaker 1: How do you see the pullback in tech stocks? What 455 00:24:42,040 --> 00:24:45,600 Speaker 1: does it say to you? Yeah? Thanks for having me 456 00:24:45,680 --> 00:24:48,920 Speaker 1: on Yeah, pull back in technology, We actually weren't really 457 00:24:48,920 --> 00:24:52,000 Speaker 1: all that surprised about my way My team has been 458 00:24:52,040 --> 00:24:56,399 Speaker 1: positioning portfolios has been really more favoring in the what 459 00:24:56,560 --> 00:24:59,680 Speaker 1: has been dubbed, you know, the reopening trade. As far 460 00:24:59,720 --> 00:25:01,560 Speaker 1: as you know, people are getting a little bit tired 461 00:25:01,600 --> 00:25:04,960 Speaker 1: of doing their video meetings and things like that, might 462 00:25:04,960 --> 00:25:07,200 Speaker 1: actually want to get out and see people face to face. 463 00:25:07,400 --> 00:25:10,359 Speaker 1: So does that mean selling tech names? Selling tech names 464 00:25:10,359 --> 00:25:14,800 Speaker 1: are just not adding to positions? Well, the our approach 465 00:25:15,160 --> 00:25:19,600 Speaker 1: is to not focus on individual names, but as far 466 00:25:19,640 --> 00:25:22,679 Speaker 1: as like the futures contracts and the broad indexes, and 467 00:25:22,800 --> 00:25:26,199 Speaker 1: one of our favorite trades has been going longer the 468 00:25:26,240 --> 00:25:29,840 Speaker 1: small cap stocks and then shorting larger cap stocks. And 469 00:25:30,320 --> 00:25:32,960 Speaker 1: we did take off our trade, which was long nas 470 00:25:33,040 --> 00:25:36,480 Speaker 1: deck a few weeks ago, and so it's not necessarily 471 00:25:36,520 --> 00:25:40,639 Speaker 1: outright shorting it, except for to the extent that the 472 00:25:40,920 --> 00:25:44,800 Speaker 1: kind of positioning, as far as favoring smaller cap stocks 473 00:25:44,800 --> 00:25:48,560 Speaker 1: over larger cap stocks, is reflecting a short bias towards 474 00:25:48,560 --> 00:25:50,760 Speaker 1: some of those names. Hey, what did you make of 475 00:25:50,920 --> 00:25:53,600 Speaker 1: fitchri Pal's comments today? Said an online event that he'd 476 00:25:53,600 --> 00:25:56,560 Speaker 1: be quote concerned by disorderly markets, but he stopped short 477 00:25:56,560 --> 00:25:59,399 Speaker 1: of offering steps to curb heightened volatility. What do you 478 00:25:59,440 --> 00:26:03,199 Speaker 1: make of it? Uh? Yeah, I think that like a 479 00:26:03,200 --> 00:26:06,080 Speaker 1: lot of people are just a little disappointed. I wasn't 480 00:26:06,080 --> 00:26:08,200 Speaker 1: really expecting him to come out and say, Hey, we're 481 00:26:08,200 --> 00:26:10,879 Speaker 1: gonna do yield curve control or we're gonna, you know, 482 00:26:11,200 --> 00:26:14,719 Speaker 1: actually go out and extend the maturity of our our portfolio. 483 00:26:14,800 --> 00:26:18,760 Speaker 1: But uh, you know, his unwillingness to be a little 484 00:26:18,800 --> 00:26:22,800 Speaker 1: bit more I guess forth right, or to commit to 485 00:26:22,920 --> 00:26:25,360 Speaker 1: doing something I think got people a little bit nervous. 486 00:26:25,640 --> 00:26:28,359 Speaker 1: You know, their policy meeting is coming up on March seventeenth, 487 00:26:28,640 --> 00:26:31,240 Speaker 1: and so a lot of people are going to be 488 00:26:31,359 --> 00:26:34,480 Speaker 1: kind of looking or we're looking to this as being 489 00:26:34,560 --> 00:26:37,600 Speaker 1: maybe one of the last opportunities before the meeting to 490 00:26:37,640 --> 00:26:40,000 Speaker 1: get some indication about whether or not they're actually going 491 00:26:40,080 --> 00:26:42,160 Speaker 1: to do something about the rise in the longer term 492 00:26:42,240 --> 00:26:44,160 Speaker 1: yields that we have seen. You know, there's a lot 493 00:26:44,200 --> 00:26:46,359 Speaker 1: going on in the treasury market as far as with 494 00:26:46,480 --> 00:26:50,720 Speaker 1: increase in inflation expectations, people getting excited about the growth outlook, 495 00:26:50,760 --> 00:26:53,159 Speaker 1: so that can push up real interest rates. And then 496 00:26:53,160 --> 00:26:56,600 Speaker 1: plus you also have issues going on with the supplemental 497 00:26:56,680 --> 00:26:59,879 Speaker 1: leverage ratio that the THUD still hasn't taken action on 498 00:27:00,040 --> 00:27:02,720 Speaker 1: as far as you know, the lid that banks calculates 499 00:27:03,000 --> 00:27:05,880 Speaker 1: um one of their leverage ratios. That could possibly affect 500 00:27:05,880 --> 00:27:07,920 Speaker 1: the treasury market as well. So there's a lot going 501 00:27:07,960 --> 00:27:10,240 Speaker 1: on there, and so understandably there's quite a bit of 502 00:27:10,520 --> 00:27:14,720 Speaker 1: bond market volatility. There's nothing going on, Brian Jacobson, There's 503 00:27:14,840 --> 00:27:16,600 Speaker 1: there is a lot going on, and I do think 504 00:27:16,600 --> 00:27:20,440 Speaker 1: we're trying to understand, you know, is the treasury market 505 00:27:20,480 --> 00:27:22,560 Speaker 1: kind of catching up to the run up that we've 506 00:27:22,600 --> 00:27:25,480 Speaker 1: seen off of the lows on the equity side of things. 507 00:27:25,600 --> 00:27:28,119 Speaker 1: Is the treasury market getting ready for Yeah, it's going 508 00:27:28,160 --> 00:27:29,680 Speaker 1: to be better in the second half of the year, 509 00:27:29,720 --> 00:27:31,600 Speaker 1: doesn't mean it's going to be a runaway market. We 510 00:27:31,640 --> 00:27:34,479 Speaker 1: still have millions of people out of work, and I 511 00:27:34,520 --> 00:27:38,439 Speaker 1: do wonder how much you anticipate that holding back economic 512 00:27:38,520 --> 00:27:41,320 Speaker 1: growth or it won't and we'll just continue to see 513 00:27:41,760 --> 00:27:45,160 Speaker 1: even deeper moves and that K shaped recovery and we'll 514 00:27:45,160 --> 00:27:49,720 Speaker 1: see that reflected uh in the financial markets. Well, you know, 515 00:27:49,760 --> 00:27:53,720 Speaker 1: hopefully as the economy reopens and with the federal Reserve 516 00:27:54,480 --> 00:27:58,440 Speaker 1: staying very loose for a long time and focusing on 517 00:27:59,200 --> 00:28:02,640 Speaker 1: the the shadow unemployment rate or whatever you might want 518 00:28:02,680 --> 00:28:04,320 Speaker 1: to call it. As far as you know, the idea 519 00:28:04,400 --> 00:28:06,560 Speaker 1: that a lot of people are being misclassified so it's 520 00:28:06,560 --> 00:28:09,399 Speaker 1: closer to ten percent as opposed to the six percent 521 00:28:09,480 --> 00:28:12,639 Speaker 1: that's being published, is that maybe that can help close 522 00:28:12,760 --> 00:28:15,280 Speaker 1: the k a little bit, to make it a little 523 00:28:15,320 --> 00:28:18,320 Speaker 1: bit more of a V for more people. Hey, I 524 00:28:18,359 --> 00:28:20,600 Speaker 1: want to hear your thoughts on international relations right now, 525 00:28:20,640 --> 00:28:24,120 Speaker 1: because you said that big wild cards when it comes 526 00:28:24,119 --> 00:28:27,000 Speaker 1: to the market could be relations between the U S 527 00:28:27,000 --> 00:28:30,080 Speaker 1: and China and the US and iran Um. What could 528 00:28:30,080 --> 00:28:34,280 Speaker 1: happen Let's start with China. Yeah, and maybe this is 529 00:28:34,400 --> 00:28:36,720 Speaker 1: just because just looking at what are some of the 530 00:28:36,800 --> 00:28:39,800 Speaker 1: old fears trying to recycle from those as well, because 531 00:28:39,840 --> 00:28:42,520 Speaker 1: they really haven't gone away. Right. We know that at 532 00:28:42,560 --> 00:28:44,840 Speaker 1: the beginning of two thousand twenty, one of the big 533 00:28:44,880 --> 00:28:49,240 Speaker 1: concerns was the relationships between US and iran UM and 534 00:28:49,440 --> 00:28:52,760 Speaker 1: just under President Biden. Now as far as with the 535 00:28:52,840 --> 00:28:55,960 Speaker 1: rocket launch in Syria, you know, it's like what's going 536 00:28:56,000 --> 00:28:59,000 Speaker 1: to be happening next in the Middle East. It's kind 537 00:28:59,000 --> 00:29:02,600 Speaker 1: of always a wild card there. And then as far 538 00:29:02,640 --> 00:29:05,880 Speaker 1: as with the relationship with China, we know that President Biden. 539 00:29:06,560 --> 00:29:09,520 Speaker 1: Our expectation was that not much was going to change 540 00:29:09,520 --> 00:29:13,040 Speaker 1: except for perhaps the tone and the willingness to work 541 00:29:13,280 --> 00:29:18,120 Speaker 1: through more of the multi national or the um you know, 542 00:29:18,160 --> 00:29:20,400 Speaker 1: kind of in a concerted effort with our allies on 543 00:29:20,440 --> 00:29:24,240 Speaker 1: some of these incredibly important topics. With China, obviously, the 544 00:29:24,960 --> 00:29:28,520 Speaker 1: the economic numbers have been just outstanding, but we do 545 00:29:28,600 --> 00:29:31,040 Speaker 1: think that, you know, that's always one of those things 546 00:29:31,080 --> 00:29:33,840 Speaker 1: that you can worry about as far as what will 547 00:29:33,880 --> 00:29:38,040 Speaker 1: that relationship look like going forward. Um, the US has 548 00:29:38,080 --> 00:29:41,680 Speaker 1: already shown it's willing to impose sanctions, you know, the 549 00:29:41,720 --> 00:29:45,200 Speaker 1: President Biden has shown that he's wanting to pose sanctions 550 00:29:45,200 --> 00:29:49,800 Speaker 1: on countries that aren't necessarily abiding by the rules of 551 00:29:49,840 --> 00:29:51,840 Speaker 1: the road. Well, is there a trade here for you 552 00:29:52,040 --> 00:29:55,920 Speaker 1: on that or concern about it? Well, a little bit. 553 00:29:56,240 --> 00:29:58,720 Speaker 1: One of the ways in which we're positioning our portfolios 554 00:29:58,800 --> 00:30:02,160 Speaker 1: is that we still do like emerging markets. But emerging markets, 555 00:30:02,200 --> 00:30:04,920 Speaker 1: you know, it's a very broad area. Well, China, we 556 00:30:05,000 --> 00:30:08,000 Speaker 1: think that can has done very well. If you think 557 00:30:08,000 --> 00:30:11,320 Speaker 1: about em Asia, uh, you know, is it e m 558 00:30:11,360 --> 00:30:15,920 Speaker 1: Asia x China that is the more attractively priced area. 559 00:30:16,440 --> 00:30:20,640 Speaker 1: If you think about momentum that's been favoring China, but 560 00:30:20,880 --> 00:30:24,560 Speaker 1: from like evaluation, not that valuations always mattered too much, 561 00:30:25,120 --> 00:30:27,480 Speaker 1: but as far as you know the fundamentals with the earnings, 562 00:30:27,800 --> 00:30:32,040 Speaker 1: there are other areas like let's say with India, Indonesia, Korea, 563 00:30:32,280 --> 00:30:36,120 Speaker 1: other places within the Asia Pacific region that are probably 564 00:30:36,160 --> 00:30:38,920 Speaker 1: a little bit more attractively priced for us. All Right, 565 00:30:38,920 --> 00:30:41,240 Speaker 1: gonna leave it on that note. Listen. Thank you so much, Brian, 566 00:30:41,280 --> 00:30:45,160 Speaker 1: appreciate it. Brian Jacobson, multi assets strategist at Wells Fargo 567 00:30:45,200 --> 00:30:47,920 Speaker 1: Asset Management. We did cover a lot of asset classes there. 568 00:30:48,120 --> 00:30:50,320 Speaker 1: He's got about or Wells Farger I should say, about 569 00:30:50,320 --> 00:30:53,200 Speaker 1: six three billion dollars in assets on the management. Brian 570 00:30:53,280 --> 00:30:58,400 Speaker 1: joining us on the phone from Milwaukee. Thanks for listening 571 00:30:58,400 --> 00:31:01,840 Speaker 1: to Bloomberg Business Week. Download a podcast on iTunes, SoundCloud, 572 00:31:01,960 --> 00:31:04,120 Speaker 1: or Bloomberg dot com, and you can also listen to 573 00:31:04,160 --> 00:31:06,720 Speaker 1: our radio show at two pm Eastern on Bloomberg Radio 574 00:31:06,840 --> 00:31:09,560 Speaker 1: or watch us on YouTube. Search to Bloomberg Global News