1 00:00:01,800 --> 00:00:04,440 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:04,480 --> 00:00:07,280 Speaker 1: Bloomberg Quick Takes Tim Stanovk. We're here every day bringing 3 00:00:07,320 --> 00:00:09,840 Speaker 1: you the latest news from the world to business and finance, 4 00:00:09,840 --> 00:00:13,680 Speaker 1: plus technology, politics, economics, all partnising the power of Business 5 00:00:13,680 --> 00:00:17,160 Speaker 1: Week reporters and editors, not to mention our journalists and 6 00:00:17,160 --> 00:00:20,000 Speaker 1: analyst in more than one twenty countries. You can download 7 00:00:20,000 --> 00:00:23,479 Speaker 1: Bloomberg Business Weekend iTunes, SoundCloud, or Bloomberg dot Com. You 8 00:00:23,480 --> 00:00:25,400 Speaker 1: can also listen to our radio show at two pm 9 00:00:25,480 --> 00:00:28,360 Speaker 1: Eastern Time on Bloomberg Radio or watch us on YouTube 10 00:00:28,400 --> 00:00:31,880 Speaker 1: search Bloomberg Global News. There's a fair amount of COVID 11 00:00:32,000 --> 00:00:36,800 Speaker 1: and vaccine headlines. Once again Novavax's vaccine candidate showing strong 12 00:00:36,840 --> 00:00:40,599 Speaker 1: efficacy against the virus, including some of those mutated variants. 13 00:00:40,600 --> 00:00:43,120 Speaker 1: That was a large trial, and we have also those 14 00:00:43,159 --> 00:00:46,720 Speaker 1: saw the uk UH in terms of their lockdown they 15 00:00:46,800 --> 00:00:49,400 Speaker 1: extended or expected to announce. I don't think it's happened 16 00:00:49,440 --> 00:00:52,000 Speaker 1: yet or did Borce Johnson do it a four week 17 00:00:52,040 --> 00:00:55,960 Speaker 1: extension into pandemic restrictions beyond June. Because of that surge 18 00:00:56,160 --> 00:00:58,120 Speaker 1: in that delta variant, we are all focused on that 19 00:00:58,200 --> 00:01:00,200 Speaker 1: variant yeah, Well, let's get right into it with dr 20 00:01:00,200 --> 00:01:03,600 Speaker 1: Iman Abuse Aid co founder and CEO of Incredible Health, 21 00:01:03,640 --> 00:01:07,040 Speaker 1: joins us once again from San Francisco. Dr abbuside, it's 22 00:01:07,040 --> 00:01:09,160 Speaker 1: great to have you back on the show. Um, how 23 00:01:09,200 --> 00:01:12,360 Speaker 1: have you been. I'm doing well. Thank you so much 24 00:01:12,360 --> 00:01:14,160 Speaker 1: for having me. Well, let's get right into it. And 25 00:01:14,360 --> 00:01:16,520 Speaker 1: because we are getting some mixed signals from around the world. 26 00:01:16,560 --> 00:01:18,880 Speaker 1: On the one hand, we're getting more great data about 27 00:01:18,959 --> 00:01:21,280 Speaker 1: vaccines here in the United States and more and more 28 00:01:21,280 --> 00:01:24,240 Speaker 1: people getting vaccinated. But you have a unique position as 29 00:01:24,640 --> 00:01:27,399 Speaker 1: being on the front lines essentially because of of what 30 00:01:27,440 --> 00:01:29,920 Speaker 1: you do of being a career marketplace for connecting hospitals 31 00:01:29,920 --> 00:01:31,320 Speaker 1: to nursing talent. So we always love to get a 32 00:01:31,400 --> 00:01:33,919 Speaker 1: update from you about how your employees, how the nursing 33 00:01:33,920 --> 00:01:38,720 Speaker 1: talent is feeling right now, what's the latest that you're seeing. Yeah, So, 34 00:01:39,120 --> 00:01:41,640 Speaker 1: certainly in many parts of the country there's some relief 35 00:01:42,080 --> 00:01:45,840 Speaker 1: right particularly where vaccination rates are very high, like at 36 00:01:45,880 --> 00:01:50,760 Speaker 1: California as one example, Washington State as well. Um, However, 37 00:01:51,280 --> 00:01:54,600 Speaker 1: the nursing shortage and our our shortage of healthcare workers 38 00:01:54,600 --> 00:01:57,760 Speaker 1: in this country continues, um as as a demand for 39 00:01:57,800 --> 00:02:01,880 Speaker 1: health for you know, for their work continuing to rise. Um, 40 00:02:02,000 --> 00:02:03,880 Speaker 1: we are seeing an all time high in terms of 41 00:02:03,880 --> 00:02:07,040 Speaker 1: demand for for nursing and hellm, how bad is it 42 00:02:07,120 --> 00:02:09,400 Speaker 1: dr abuse in terms of demand. Give us an idea 43 00:02:09,400 --> 00:02:12,720 Speaker 1: and how it compares with where we were pre pandemic um. 44 00:02:12,840 --> 00:02:15,120 Speaker 1: It has probably the demand has probably increased by at 45 00:02:15,200 --> 00:02:20,680 Speaker 1: least thirty or for the pandemic um. What's specifically different, Yeah, 46 00:02:21,600 --> 00:02:24,280 Speaker 1: ahead in a few metrics. So one is that we're 47 00:02:24,280 --> 00:02:28,440 Speaker 1: seeing that nurse turnover, So nurses quitting um has gone up. 48 00:02:28,440 --> 00:02:31,880 Speaker 1: It used to be seventeen annually. That's an annual turnover 49 00:02:32,160 --> 00:02:34,280 Speaker 1: that has gone up to more like two percent now. 50 00:02:34,680 --> 00:02:36,519 Speaker 1: And then the other big change we're seeing is the 51 00:02:36,639 --> 00:02:39,760 Speaker 1: days to fill, So the number of times that the 52 00:02:39,800 --> 00:02:41,840 Speaker 1: amount of days it takes to higher a nurse has 53 00:02:41,880 --> 00:02:45,800 Speaker 1: extended from the eighty two day average to closer than 54 00:02:45,880 --> 00:02:48,600 Speaker 1: ninety days now on average across the country. You know, 55 00:02:48,600 --> 00:02:50,280 Speaker 1: it's so it's it's so interesting. I'm just thinking. We're 56 00:02:50,280 --> 00:02:52,040 Speaker 1: talking about the Federal Reserve. We talked about the idea 57 00:02:52,040 --> 00:02:55,520 Speaker 1: of things being transitory chip shortages, shipping container shortages, and 58 00:02:55,600 --> 00:02:57,880 Speaker 1: demand exceeding supply. Right now we're seeing the same thing 59 00:02:58,120 --> 00:03:00,480 Speaker 1: when it comes specifically to to nursing talent. And I 60 00:03:00,520 --> 00:03:02,760 Speaker 1: wonder what this solution is here, Dr Apps. Is it 61 00:03:02,800 --> 00:03:05,640 Speaker 1: all about it? Is it about raising wages? Is about 62 00:03:05,760 --> 00:03:09,519 Speaker 1: paying paying these nurses more? Yeah, so certainly that's already 63 00:03:09,520 --> 00:03:13,560 Speaker 1: been happening. Wages over the last twelve months have increased 64 00:03:13,960 --> 00:03:17,400 Speaker 1: over twelve percent UM, which is a big which is 65 00:03:17,400 --> 00:03:20,600 Speaker 1: a big increase in the twelve month period UM. And 66 00:03:20,639 --> 00:03:23,720 Speaker 1: then there's two you know, there's two issues to resolve here. 67 00:03:23,760 --> 00:03:26,480 Speaker 1: One of the improving the efficiency of hiring and the 68 00:03:26,520 --> 00:03:30,920 Speaker 1: second is increasing the underlying supply. UM. On the efficiency piece, 69 00:03:30,960 --> 00:03:33,720 Speaker 1: we're like seeing that a lot more hospitals and healthy 70 00:03:33,720 --> 00:03:37,600 Speaker 1: spines are embracing any kind of technology and marketplace technology 71 00:03:37,640 --> 00:03:40,680 Speaker 1: that that can UM that is to their advantage. Right. So, well, 72 00:03:40,880 --> 00:03:43,240 Speaker 1: what we're seeing if we've just hit an exciting milestone 73 00:03:43,280 --> 00:03:48,320 Speaker 1: ourselves in our mission where we're partnering with over of 74 00:03:48,800 --> 00:03:51,000 Speaker 1: the best hospitals on the US News and World Report 75 00:03:51,160 --> 00:03:55,560 Speaker 1: list UM and that's very rapid growth for a team, 76 00:03:55,560 --> 00:03:57,840 Speaker 1: that for a company that only just started a couple 77 00:03:58,040 --> 00:04:00,880 Speaker 1: a few years ago, and that's UM. We've just seen 78 00:04:01,040 --> 00:04:04,560 Speaker 1: a substantial increase in growth in the last eighteen months. 79 00:04:04,640 --> 00:04:07,720 Speaker 1: So you mentioned also increasing supply, and I do wonder 80 00:04:08,280 --> 00:04:11,240 Speaker 1: who typically becomes nurses, and I do wonder in terms 81 00:04:11,280 --> 00:04:16,440 Speaker 1: of immigration restraints, is that part of the problem. It is, 82 00:04:16,520 --> 00:04:19,840 Speaker 1: so you know that the underlying supply shortage is has 83 00:04:19,960 --> 00:04:23,960 Speaker 1: is a multi fascinate problem. Um. First, first and foremost, 84 00:04:24,000 --> 00:04:27,120 Speaker 1: we can't act. We're struggling to train more nurses. So 85 00:04:27,240 --> 00:04:30,440 Speaker 1: nursing schools are completely full. Um. There they have very 86 00:04:30,480 --> 00:04:33,560 Speaker 1: long waitlists because they simply can't get in more faculty 87 00:04:33,600 --> 00:04:37,760 Speaker 1: to train more nurses. Um. And so there's a bottleneck there. 88 00:04:37,800 --> 00:04:41,680 Speaker 1: There's another bottleneck happening after nursing school where not enough 89 00:04:41,680 --> 00:04:45,160 Speaker 1: hospitals and healthystons are willing to train nurses new graduate nurses. 90 00:04:45,760 --> 00:04:48,520 Speaker 1: Um and so there's another bottle neck there. And then yeah, 91 00:04:48,560 --> 00:04:51,360 Speaker 1: to your point, there is an an integration bottleneck as well. 92 00:04:51,400 --> 00:04:54,440 Speaker 1: In the past we were able to really welcome nurses 93 00:04:54,480 --> 00:04:57,240 Speaker 1: from all over the world. That's become much more challenging 94 00:04:57,360 --> 00:05:01,480 Speaker 1: as um. You know, the US immigration and rules have changed. 95 00:05:01,760 --> 00:05:03,680 Speaker 1: And also, to be honest, I mean in the U 96 00:05:03,760 --> 00:05:05,320 Speaker 1: S we have a nursing shortage, but there's also a 97 00:05:05,320 --> 00:05:08,000 Speaker 1: global nursing shortage going on as well. That's what I 98 00:05:08,040 --> 00:05:09,960 Speaker 1: was curious if this is U S specific or if 99 00:05:10,000 --> 00:05:13,240 Speaker 1: this is very similar what's happening around the globe. It's 100 00:05:13,279 --> 00:05:15,760 Speaker 1: happening across across the globe. I know you just mentioned 101 00:05:15,760 --> 00:05:18,320 Speaker 1: the UK and new challenges. They have the exact same, 102 00:05:18,440 --> 00:05:21,120 Speaker 1: exact same challenges that we have here in the US. 103 00:05:21,000 --> 00:05:24,800 Speaker 1: As the CEO of this company, Dr Apps, I'm wondering 104 00:05:24,839 --> 00:05:29,280 Speaker 1: how you're thinking about when this gets resolved. What's your timeline? Um, 105 00:05:29,320 --> 00:05:31,839 Speaker 1: there is It's it's perpetual. I mean, there is no 106 00:05:31,960 --> 00:05:34,719 Speaker 1: timeline for how this gets for for this getting resolved. 107 00:05:34,760 --> 00:05:37,880 Speaker 1: I mean, it's a multi faceted problem problem. We're gonna 108 00:05:37,920 --> 00:05:41,000 Speaker 1: need some government intervention. We're ne gonna need hospital and 109 00:05:41,040 --> 00:05:43,720 Speaker 1: health system leaders to take the initiative. We're gonna need 110 00:05:43,760 --> 00:05:46,680 Speaker 1: nursing schools to step up as well, and we're going 111 00:05:46,720 --> 00:05:49,400 Speaker 1: to really have to make nursing as a profession as 112 00:05:49,440 --> 00:05:53,400 Speaker 1: well the other healthcare worker professions appear more attractive UM 113 00:05:53,480 --> 00:05:56,320 Speaker 1: and to attract more and more people into those professions. 114 00:05:56,320 --> 00:05:58,040 Speaker 1: How do we do that? Is it just money or 115 00:05:58,120 --> 00:06:02,040 Speaker 1: is it something more than that. It's it's emphasizing, Yeah, 116 00:06:02,080 --> 00:06:04,600 Speaker 1: this is this is for the amount of education you 117 00:06:04,640 --> 00:06:07,160 Speaker 1: need to become a nurse, which isn't too many it's 118 00:06:07,200 --> 00:06:10,120 Speaker 1: not too many years. UM. The average pay for a 119 00:06:10,240 --> 00:06:12,800 Speaker 1: nurse in the US right now is eighty thousand dollars. 120 00:06:12,839 --> 00:06:15,520 Speaker 1: In states like California and New York, it's definitely well 121 00:06:15,560 --> 00:06:18,359 Speaker 1: over a hundred thousand dollars annually. So this can be 122 00:06:18,520 --> 00:06:21,160 Speaker 1: a lucrative career for for for you know, maybe only 123 00:06:21,200 --> 00:06:24,039 Speaker 1: three or four years of education. UM. And so we 124 00:06:24,279 --> 00:06:26,680 Speaker 1: definitely need to promote the career a little bit more 125 00:06:27,200 --> 00:06:31,120 Speaker 1: and really um make the appear the career, emphasizing the 126 00:06:31,160 --> 00:06:32,800 Speaker 1: mission of the career too. I mean, at the end 127 00:06:32,800 --> 00:06:35,160 Speaker 1: of the day, that care deeply about patient care and 128 00:06:35,200 --> 00:06:37,679 Speaker 1: taking care of people, and that is the ultimate driver 129 00:06:37,839 --> 00:06:40,880 Speaker 1: for why UH individuals enter the nurse and profession and 130 00:06:40,920 --> 00:06:43,279 Speaker 1: other healthcare worker contessionals. What are the changes that you've 131 00:06:43,320 --> 00:06:45,440 Speaker 1: had to make an incredible health as a results of 132 00:06:45,440 --> 00:06:49,320 Speaker 1: this shortage, UM, We've had to really just emphasize operation 133 00:06:49,560 --> 00:06:53,440 Speaker 1: efficiency of hiring. We've had to add, you know, first 134 00:06:53,440 --> 00:06:57,120 Speaker 1: of all, add lots of features that automate the interview scheduling, 135 00:06:57,440 --> 00:07:01,360 Speaker 1: that provide data analytics that help identify any bottlenecks, and 136 00:07:01,440 --> 00:07:03,719 Speaker 1: really really have built quite a little lot of software 137 00:07:03,760 --> 00:07:06,440 Speaker 1: to improve the efficiency of the hiring and then on 138 00:07:06,480 --> 00:07:08,800 Speaker 1: the talent side, we really have to add a whole 139 00:07:08,880 --> 00:07:11,640 Speaker 1: range of features and tools for nurses beyond just getting 140 00:07:11,640 --> 00:07:14,080 Speaker 1: a job. UM. So we've become the place where they're 141 00:07:14,080 --> 00:07:17,720 Speaker 1: managing their career, things like free continuing education for the nurses. 142 00:07:17,960 --> 00:07:20,520 Speaker 1: We've had to add mental health services as well as 143 00:07:20,800 --> 00:07:23,960 Speaker 1: a community for nurses inside our inside the Incredible Health 144 00:07:23,960 --> 00:07:27,200 Speaker 1: apps as well. UM. That's really been paying off. You know, 145 00:07:27,280 --> 00:07:30,160 Speaker 1: over fifty of hospital beds in both Texas and California 146 00:07:30,240 --> 00:07:34,160 Speaker 1: or facilities that use Incredible Health to hire permanent nurses, 147 00:07:34,560 --> 00:07:37,080 Speaker 1: and in some cities like the l A area, in 148 00:07:37,080 --> 00:07:39,760 Speaker 1: the Dallas area, it's almost seventy percent of hospital beds 149 00:07:39,760 --> 00:07:42,640 Speaker 1: are using are using our platform. You know you mentioned 150 00:07:42,880 --> 00:07:47,240 Speaker 1: UM the milestone for you folks about now UM participating 151 00:07:47,520 --> 00:07:50,760 Speaker 1: in over sixty of the top hospitals in the United States. 152 00:07:51,240 --> 00:07:53,800 Speaker 1: And there's a stat you shared with our producer Paul 153 00:07:53,800 --> 00:07:57,680 Speaker 1: Brennon hospital send an interview request every four minutes UM 154 00:07:57,840 --> 00:08:01,520 Speaker 1: their platform, flipping this raftin giving healthcare workers and precedent 155 00:08:01,520 --> 00:08:04,480 Speaker 1: and control over their careers, but an interview request every 156 00:08:04,520 --> 00:08:07,920 Speaker 1: four minutes on the platform. So talk about that is 157 00:08:08,040 --> 00:08:12,679 Speaker 1: wild demand, dr Aposide, It really is. I mean there's uh, 158 00:08:13,040 --> 00:08:15,680 Speaker 1: you know, so every four minutes, another interview request is 159 00:08:15,720 --> 00:08:18,160 Speaker 1: being sent from from an employer to a two talent 160 00:08:18,200 --> 00:08:21,920 Speaker 1: on the platform. UM. And we've really had to, you know, 161 00:08:21,960 --> 00:08:24,720 Speaker 1: step up our operations and make sure that you know, 162 00:08:24,760 --> 00:08:27,520 Speaker 1: both the talent and the employers are having a very 163 00:08:27,560 --> 00:08:30,760 Speaker 1: delightful experience on the platform. And you're right, we are 164 00:08:30,800 --> 00:08:34,600 Speaker 1: seeing more demand than we would have ever expected. UM. 165 00:08:34,640 --> 00:08:36,400 Speaker 1: And the other thing is the product works. I mean, 166 00:08:36,520 --> 00:08:38,880 Speaker 1: we we do very you know, we do an effective 167 00:08:38,960 --> 00:08:43,880 Speaker 1: job of ensuring that hiring happens rapidly as well. Dr Episade. 168 00:08:43,880 --> 00:08:47,240 Speaker 1: One last question here wondering about the patient experience. If 169 00:08:47,280 --> 00:08:49,800 Speaker 1: we're having so much trouble getting nurses, how does that 170 00:08:49,840 --> 00:08:53,439 Speaker 1: translate into what patients experience in the hospital. Yeah, it 171 00:08:53,720 --> 00:08:56,520 Speaker 1: does translate very directly, honestly. When so when a unit 172 00:08:56,559 --> 00:09:00,400 Speaker 1: is understaffed, we see healthcare outcomes drop. So the quality 173 00:09:00,400 --> 00:09:03,839 Speaker 1: of Jerry Cross UM, and so that is something that 174 00:09:03,960 --> 00:09:07,040 Speaker 1: every um, gosh, every every single person on the executive 175 00:09:07,040 --> 00:09:09,319 Speaker 1: team in a hostel or health system is concerned with. 176 00:09:09,840 --> 00:09:13,600 Speaker 1: And so UM, they've there's several different initiatives that base 177 00:09:13,640 --> 00:09:16,520 Speaker 1: put in place in order to kind of mitigate that, um, 178 00:09:16,559 --> 00:09:19,800 Speaker 1: they've added more support staff. So so beyond nurses, you know, 179 00:09:19,800 --> 00:09:21,600 Speaker 1: there's other types of staff that you can add that 180 00:09:21,640 --> 00:09:24,360 Speaker 1: can do some of the kind of lower skill work, um, 181 00:09:24,400 --> 00:09:26,880 Speaker 1: in order to enable nurses to operate at the top 182 00:09:26,960 --> 00:09:29,920 Speaker 1: of their license. UM. But it's definitely, it's definitely a 183 00:09:30,000 --> 00:09:33,120 Speaker 1: challenge that every executive across across the country is facing 184 00:09:33,200 --> 00:09:35,480 Speaker 1: right now. Yeah, this is not a group that's you know, 185 00:09:35,520 --> 00:09:37,960 Speaker 1: we know they've already been stressed and certainly would like 186 00:09:38,000 --> 00:09:41,880 Speaker 1: to lighten the load. Uh, certainly in today's environment. Dr 187 00:09:42,240 --> 00:09:45,040 Speaker 1: Iman abuse Aide, thank you so much. Dr Abuse, great 188 00:09:45,040 --> 00:09:46,679 Speaker 1: to have you back with us. She's co founder and 189 00:09:46,760 --> 00:09:49,640 Speaker 1: chief executive officer at Incredible Health. Joining us once again 190 00:09:49,640 --> 00:09:52,600 Speaker 1: on the phone from San Francisco. You're listening to Bloomberg 191 00:09:52,600 --> 00:09:56,320 Speaker 1: Business Week with Carol Messer and Bloomberg Quick Takes Tim 192 00:09:56,360 --> 00:10:00,719 Speaker 1: Stinovic on Bloomberg Radio. Among our most stories on the 193 00:10:00,720 --> 00:10:02,800 Speaker 1: Bloomberg in fact, I think it might be the number 194 00:10:02,840 --> 00:10:06,239 Speaker 1: one most read story. Who's going back to work exactly? 195 00:10:06,280 --> 00:10:08,240 Speaker 1: And you know what the return to office among the 196 00:10:08,240 --> 00:10:13,280 Speaker 1: Wall Street community. You know, everybody's not saying the same tune. Tim, 197 00:10:13,400 --> 00:10:16,440 Speaker 1: They're certainly not. Some banks are moving faster than others. Fortunately, 198 00:10:16,480 --> 00:10:19,600 Speaker 1: we have Sally Bakewell, Finance team leader here at Bloomberg News, 199 00:10:19,679 --> 00:10:22,439 Speaker 1: joining us right here with us in the Bloomberg Interactive 200 00:10:22,559 --> 00:10:25,600 Speaker 1: Broker Studio. Sally, it's great to have you on the show. 201 00:10:25,720 --> 00:10:27,960 Speaker 1: Let's start with Goldman Sachs, because today is a big 202 00:10:28,000 --> 00:10:30,120 Speaker 1: day for him. Yeah, it is a big day. And 203 00:10:30,160 --> 00:10:32,439 Speaker 1: we have one of our reporters, Shinali Bassack, down there 204 00:10:32,480 --> 00:10:37,400 Speaker 1: today as the employees streamed in in the drizzling rain. Um. 205 00:10:37,440 --> 00:10:39,600 Speaker 1: It's a bit of a tale of two wool streets really, 206 00:10:39,640 --> 00:10:41,360 Speaker 1: because we have Goldman on the one hand that's been 207 00:10:41,360 --> 00:10:44,959 Speaker 1: incredibly ambitious. It wanted everyone back by today. Um. And 208 00:10:45,040 --> 00:10:46,520 Speaker 1: you know there was a bit of fan fast surrounding. 209 00:10:46,559 --> 00:10:49,400 Speaker 1: It had food trucks, there was music, There are coffee machines. 210 00:10:49,440 --> 00:10:52,880 Speaker 1: They're trying to create this very welcoming, exciting atmosphere. They 211 00:10:52,880 --> 00:10:55,040 Speaker 1: have interns coming into right, so I bet it's trying 212 00:10:55,080 --> 00:10:57,520 Speaker 1: to welcome them and make them feel good exactly. Um. 213 00:10:57,559 --> 00:10:59,720 Speaker 1: But then on the other hand you have City Group, 214 00:10:59,760 --> 00:11:04,080 Speaker 1: which taking a slightly more flexible approach. Employees don't have 215 00:11:04,160 --> 00:11:08,880 Speaker 1: to be back in their HQ until July, and even 216 00:11:08,920 --> 00:11:10,640 Speaker 1: when they do return that they're going to be able 217 00:11:10,640 --> 00:11:14,880 Speaker 1: to work on under a flexible schedule. I wonder about 218 00:11:15,440 --> 00:11:20,040 Speaker 1: specifically about what it means for morale and and and 219 00:11:20,080 --> 00:11:24,320 Speaker 1: having employees back in there in some places after being 220 00:11:24,360 --> 00:11:27,880 Speaker 1: a part for fourteen sixteen months in some cases, and 221 00:11:28,000 --> 00:11:30,800 Speaker 1: at the same time Sally where we've heard that so 222 00:11:30,840 --> 00:11:36,079 Speaker 1: many of them have been uh working a lot. Yeah. Absolutely. 223 00:11:36,120 --> 00:11:39,240 Speaker 1: I think Goldman is interesting here because, um I heard 224 00:11:39,280 --> 00:11:42,800 Speaker 1: today that seventy percent of staff are either millennial or 225 00:11:42,880 --> 00:11:46,600 Speaker 1: under thirty. So perhaps the family issue isn't such a 226 00:11:46,640 --> 00:11:49,320 Speaker 1: big issue there, and so it's maybe a bit easier 227 00:11:49,360 --> 00:11:51,040 Speaker 1: for some people to come back, but of course for 228 00:11:51,080 --> 00:11:53,240 Speaker 1: a lot of other people. Um as well as the 229 00:11:53,320 --> 00:11:56,360 Speaker 1: morale issue, and you know this kind of psychological shift 230 00:11:56,440 --> 00:11:59,440 Speaker 1: from being virtual to being in the office. You also 231 00:11:59,440 --> 00:12:03,320 Speaker 1: have the addition childcare element. And perhaps you know City 232 00:12:03,360 --> 00:12:05,280 Speaker 1: is now under Jane Fraser, and just going to ask 233 00:12:05,320 --> 00:12:07,600 Speaker 1: you that I do wonder it with Jane Fraser at 234 00:12:07,640 --> 00:12:09,800 Speaker 1: the top of a City group, whether there's a little 235 00:12:09,800 --> 00:12:12,480 Speaker 1: bit of a different perspective there. It's very interesting question. 236 00:12:12,520 --> 00:12:13,840 Speaker 1: I mean, this has got to be one of the 237 00:12:13,840 --> 00:12:17,880 Speaker 1: biggest decisions for her in her new gig, and so 238 00:12:18,080 --> 00:12:19,960 Speaker 1: how she handles it and what she's done is a 239 00:12:20,000 --> 00:12:23,960 Speaker 1: real differentiator. UM. And you know she she's a brand 240 00:12:23,960 --> 00:12:26,600 Speaker 1: new CEO on a on a Wall Street that's generally 241 00:12:26,600 --> 00:12:33,640 Speaker 1: been white dudes UM for so long. So it does, 242 00:12:34,120 --> 00:12:36,240 Speaker 1: but you know she's charting slightly different course here. The 243 00:12:36,640 --> 00:12:38,360 Speaker 1: thing that I wonder, and I think we've done some 244 00:12:38,400 --> 00:12:41,600 Speaker 1: reporting on this, is all of the all it's going 245 00:12:41,679 --> 00:12:43,880 Speaker 1: to take is for one Wall Street firm to get 246 00:12:43,920 --> 00:12:46,280 Speaker 1: the deal because there was a face to face meeting 247 00:12:46,880 --> 00:12:50,439 Speaker 1: that somebody else didn't do because they were embracing hybrid 248 00:12:50,559 --> 00:12:52,280 Speaker 1: and then I feel like everybody's going to say we 249 00:12:52,320 --> 00:12:54,400 Speaker 1: want you back in the office. Is that I don't know, 250 00:12:54,520 --> 00:12:57,400 Speaker 1: Like what's the conversations around that. I think I recall 251 00:12:57,800 --> 00:13:01,280 Speaker 1: Diamond even saying something to that. You know that they 252 00:13:01,360 --> 00:13:05,200 Speaker 1: have lost out on deals because of the lack of fate, 253 00:13:05,559 --> 00:13:09,280 Speaker 1: face to face interaction. So it's definitely I think it's 254 00:13:09,280 --> 00:13:11,440 Speaker 1: definitely going to be a factor that they'll try to 255 00:13:11,480 --> 00:13:15,120 Speaker 1: mediate and try to avoid. But there is perhaps part 256 00:13:15,160 --> 00:13:18,000 Speaker 1: of the striking of the deal where that really matters 257 00:13:18,080 --> 00:13:22,720 Speaker 1: in and preference will go to those interactions right. Well, Look, 258 00:13:22,720 --> 00:13:24,400 Speaker 1: one of the reasons we talked about this a lot 259 00:13:24,480 --> 00:13:27,080 Speaker 1: in what the banks are doing is because the health 260 00:13:27,080 --> 00:13:30,960 Speaker 1: of the finance industry is inextricably tied to the health 261 00:13:31,000 --> 00:13:34,080 Speaker 1: of New York City and the economics of New York 262 00:13:34,120 --> 00:13:36,560 Speaker 1: City and the economy of New York City. And in 263 00:13:37,040 --> 00:13:40,040 Speaker 1: this story by your own Jenny Serene, she talks about 264 00:13:40,040 --> 00:13:43,240 Speaker 1: how a significant portion of New York City's economy relies 265 00:13:43,600 --> 00:13:46,040 Speaker 1: on the finance industry. There directly or indirectly take us 266 00:13:46,040 --> 00:13:47,600 Speaker 1: into how important it is for these people to be 267 00:13:48,040 --> 00:13:50,160 Speaker 1: back in office is when it comes to the city's health, 268 00:13:50,640 --> 00:13:55,800 Speaker 1: super important. And I think Shinali was telling me earlier that, um, 269 00:13:55,840 --> 00:13:59,880 Speaker 1: there were local vendors who noted the employees going into 270 00:13:59,880 --> 00:14:02,199 Speaker 1: the building and we're asking them, how long are you 271 00:14:02,240 --> 00:14:04,000 Speaker 1: going to stay? You open for good? How long you 272 00:14:04,000 --> 00:14:07,640 Speaker 1: staying open? Because it's such a huge force, huge commercial 273 00:14:07,679 --> 00:14:10,280 Speaker 1: force and business force for them. So each one of 274 00:14:10,280 --> 00:14:13,080 Speaker 1: these banks that they have this ecosystem around them which 275 00:14:13,360 --> 00:14:15,520 Speaker 1: is a very um and they're a very powerful force 276 00:14:15,520 --> 00:14:17,360 Speaker 1: in the economy. Well, and it's interesting too that this 277 00:14:17,440 --> 00:14:20,760 Speaker 1: comes on a day where JP Morgan, Jamie Diamond came 278 00:14:20,800 --> 00:14:23,440 Speaker 1: out and talked about wanting of a bigger trading revenue 279 00:14:23,480 --> 00:14:26,440 Speaker 1: drop after the pandemic boom, and you know, he's he 280 00:14:26,560 --> 00:14:29,400 Speaker 1: felt like he was touching upon, you know, the competition 281 00:14:29,440 --> 00:14:32,040 Speaker 1: amongst some of the fintech startups and just whether or 282 00:14:32,040 --> 00:14:36,360 Speaker 1: not competing with it. So, you know, I wonder what 283 00:14:36,360 --> 00:14:38,720 Speaker 1: he's trying to do, whether it's to be like, listen, folks, 284 00:14:38,800 --> 00:14:42,880 Speaker 1: we are to be back at work figuring out, strategizing, 285 00:14:43,160 --> 00:14:45,000 Speaker 1: you know, what's next, because there's a lot of stuff 286 00:14:45,040 --> 00:14:48,120 Speaker 1: coming at us. Absolutely, and actually was quite interesting what 287 00:14:48,160 --> 00:14:50,840 Speaker 1: he said today about their trading revenue. They're expecting it 288 00:14:50,880 --> 00:14:53,400 Speaker 1: and Gorman echoed the sentiment they're expecting it to be 289 00:14:53,560 --> 00:14:56,280 Speaker 1: to be to drop or not to have the gangbusters 290 00:14:56,440 --> 00:14:59,160 Speaker 1: feel that they had in the first quarter. Um, but 291 00:14:59,200 --> 00:15:01,760 Speaker 1: with that was something it was expected, and I think 292 00:15:01,960 --> 00:15:04,920 Speaker 1: Diamond was perhaps quite clever in that he said that, 293 00:15:05,080 --> 00:15:08,080 Speaker 1: Um he kind of reset expectations a bit in a 294 00:15:08,120 --> 00:15:12,000 Speaker 1: way that means they will probably still um not due 295 00:15:12,040 --> 00:15:16,520 Speaker 1: too badly next to analyst predictions. UM. So it was 296 00:15:16,520 --> 00:15:18,800 Speaker 1: a kind of you know, reset expectations a bit about 297 00:15:18,800 --> 00:15:21,800 Speaker 1: their numbers for the second quarter. So how are other 298 00:15:21,840 --> 00:15:24,880 Speaker 1: banks thinking about the summer right now and potentially getting 299 00:15:24,880 --> 00:15:28,960 Speaker 1: people back by Labor Day. Um. So we had Gorman 300 00:15:29,000 --> 00:15:32,640 Speaker 1: Morgan Stanley CEO today saying that they would be disappointed 301 00:15:32,680 --> 00:15:39,280 Speaker 1: if people aren't back by Labor Day. This was Goldman, sorry, yeah, 302 00:15:39,400 --> 00:15:42,920 Speaker 1: And um we have Bank of America said says that 303 00:15:42,960 --> 00:15:47,560 Speaker 1: it's asking it's UM employees that are vaccinated to start 304 00:15:47,600 --> 00:15:50,720 Speaker 1: coming back and giving them thirty days notice. So I 305 00:15:50,760 --> 00:15:53,760 Speaker 1: think there is a kind of expectation that Labor Day 306 00:15:53,760 --> 00:15:56,680 Speaker 1: perhaps is where everyone's galvanizing around. Well, I think it's 307 00:15:56,680 --> 00:15:59,200 Speaker 1: important for a couple of reasons. One is returned to school, 308 00:15:59,520 --> 00:16:02,280 Speaker 1: and people who work for these companies who have kids 309 00:16:02,400 --> 00:16:04,360 Speaker 1: and child care has been such I speak as a parent, 310 00:16:04,440 --> 00:16:07,040 Speaker 1: childcare has been such an issue over the last fourteen 311 00:16:07,080 --> 00:16:09,560 Speaker 1: fifteen months, I mean as as schools have been closed. 312 00:16:09,880 --> 00:16:11,840 Speaker 1: And I wonder about flexibility on the other side, and 313 00:16:12,240 --> 00:16:15,840 Speaker 1: you alluded to Jane Fraser, but I'm wondering if there 314 00:16:15,920 --> 00:16:17,640 Speaker 1: is going to be some sort of see change in 315 00:16:17,680 --> 00:16:20,000 Speaker 1: the way that these companies think about work life balance. 316 00:16:20,280 --> 00:16:22,200 Speaker 1: And I'm not talking about balance and I'm talking about 317 00:16:22,200 --> 00:16:26,680 Speaker 1: like you know, being a parent and also being an employee. 318 00:16:27,640 --> 00:16:29,720 Speaker 1: I think it will be what it will be as 319 00:16:29,760 --> 00:16:34,760 Speaker 1: a really interesting leverage element. So depending on what you 320 00:16:34,840 --> 00:16:37,640 Speaker 1: do in the bank, maybe that gives you more leverage 321 00:16:37,680 --> 00:16:41,240 Speaker 1: to be more flexible. Um. There are certain jobs, we know, 322 00:16:41,560 --> 00:16:44,680 Speaker 1: the trading floor, where it will be more difficult perhaps 323 00:16:44,680 --> 00:16:47,800 Speaker 1: to um be a kind of work from home or 324 00:16:47,880 --> 00:16:50,840 Speaker 1: hybrid employee, but I think it will. It would be 325 00:16:50,880 --> 00:16:56,440 Speaker 1: really interesting how that does settles which rank ranks of 326 00:16:56,480 --> 00:16:59,800 Speaker 1: staff are able to kind of get the flexibility that 327 00:16:59,800 --> 00:17:02,240 Speaker 1: they one, and which actually find that they don't, they're 328 00:17:02,280 --> 00:17:04,840 Speaker 1: not afforded it and they want to move elsewhere, And 329 00:17:04,880 --> 00:17:06,800 Speaker 1: that kind of thing we might see in September when 330 00:17:06,960 --> 00:17:11,080 Speaker 1: a lot of these policies really hit flost into place. 331 00:17:11,160 --> 00:17:13,680 Speaker 1: The interesting thing is is just that these banks did 332 00:17:13,680 --> 00:17:16,240 Speaker 1: really well during the pandemic, right, even with everybody working 333 00:17:16,240 --> 00:17:19,359 Speaker 1: at home. They were really productive. But yet we're on 334 00:17:19,400 --> 00:17:21,560 Speaker 1: the other side and things are changing, right, and so 335 00:17:21,760 --> 00:17:24,680 Speaker 1: maybe the differences between firms could give someone an advantage 336 00:17:24,680 --> 00:17:28,440 Speaker 1: of another. Possibly. Yeah, I think that's an excellent point, 337 00:17:28,440 --> 00:17:29,960 Speaker 1: and we'll we'll definitely see that play out. And I 338 00:17:29,960 --> 00:17:31,600 Speaker 1: feel like there's a divide between what's going on in 339 00:17:31,640 --> 00:17:34,800 Speaker 1: Wall Street versus corporate community. Overall, no one knows what 340 00:17:35,040 --> 00:17:39,119 Speaker 1: answer is no, that is that is so clear exactly, Sally. 341 00:17:39,160 --> 00:17:41,920 Speaker 1: Good stuff, great stuff. Thank you so much, Sally Big 342 00:17:41,960 --> 00:17:44,280 Speaker 1: while she's our Finance team leader of Bloomberg News, joining 343 00:17:44,359 --> 00:17:52,240 Speaker 1: us in our Interactive Broker studio. This is Bloomberg Business 344 00:17:52,359 --> 00:17:56,119 Speaker 1: Week with Carol Masser and Bloomberg Quick Takes Tim Stinovic 345 00:17:56,480 --> 00:18:01,160 Speaker 1: on Bloomberg Radio. You are listening to Bloomberg Business Week 346 00:18:01,160 --> 00:18:04,199 Speaker 1: Carl Master along with Tim Stanovik in our Interactive Broker Studio. 347 00:18:04,240 --> 00:18:06,280 Speaker 1: Top of mind for us this Monday, and especially as 348 00:18:06,280 --> 00:18:10,280 Speaker 1: we wait to hear from President Biden from Brussels this 349 00:18:10,320 --> 00:18:12,959 Speaker 1: weekend's gathering at the leaders of the world's richest economies. 350 00:18:12,960 --> 00:18:16,080 Speaker 1: What needs to be top of mind really for them? 351 00:18:16,119 --> 00:18:18,320 Speaker 1: And here to get into it is Bloomberg New Economy 352 00:18:18,400 --> 00:18:21,000 Speaker 1: Editorial Director Andy brown Out with his latest column. He 353 00:18:21,080 --> 00:18:25,840 Speaker 1: joins us in the Bloomberg Interactive Brokers Studio. Andy. They 354 00:18:25,880 --> 00:18:27,719 Speaker 1: talked about a lot of things, but you really kind 355 00:18:27,760 --> 00:18:29,320 Speaker 1: of whittle it down to what they really need to 356 00:18:29,359 --> 00:18:31,439 Speaker 1: be concerned with. Talk to us about this, So we 357 00:18:31,480 --> 00:18:34,760 Speaker 1: need to be concerned about vaccines, And it looked like 358 00:18:34,880 --> 00:18:38,440 Speaker 1: they were concerned about vaccines, and they are concerned about vaccines. 359 00:18:38,480 --> 00:18:43,240 Speaker 1: But they fallen short. They promised a billion additional vaccines 360 00:18:43,280 --> 00:18:46,760 Speaker 1: to the developing world, and this it was a big, 361 00:18:46,800 --> 00:18:51,080 Speaker 1: deliberately big splashy number, and it was meant to signal 362 00:18:51,160 --> 00:18:56,320 Speaker 1: the superiority over the of the free market democratic system 363 00:18:56,359 --> 00:19:00,800 Speaker 1: over the autocracies of China and Russia. And the reality 364 00:19:00,960 --> 00:19:04,160 Speaker 1: is they came up short. They didn't have a billion 365 00:19:04,359 --> 00:19:07,840 Speaker 1: new vaccines. They actually had six hundred million. And the 366 00:19:07,920 --> 00:19:10,000 Speaker 1: US came out of this the best looking, the best 367 00:19:10,040 --> 00:19:14,560 Speaker 1: it's it's kicked in five million, UK kicks in one million, 368 00:19:14,880 --> 00:19:17,879 Speaker 1: and the rest was sort of sort of calum it 369 00:19:18,000 --> 00:19:24,639 Speaker 1: up through creative accounting, accounting all of the existing pledges, 370 00:19:24,760 --> 00:19:28,199 Speaker 1: both of doses and of money. But a billion is 371 00:19:28,280 --> 00:19:32,159 Speaker 1: not enough. Yeah, we're a world round eight times that, 372 00:19:32,359 --> 00:19:34,920 Speaker 1: so we need more than that. Um. You point out 373 00:19:34,960 --> 00:19:38,720 Speaker 1: in your peace andy statistic from the Economists to notes 374 00:19:38,840 --> 00:19:42,240 Speaker 1: that uh, seventy percent, or that I should say that 375 00:19:42,320 --> 00:19:45,200 Speaker 1: magazine argues that rich nations are passing up the deal 376 00:19:45,240 --> 00:19:47,920 Speaker 1: of the century. That's that's a quote from the Economist. Um, 377 00:19:48,160 --> 00:19:51,080 Speaker 1: seventy percent of the world to get vaccinated, only fifty 378 00:19:51,080 --> 00:19:55,320 Speaker 1: billion dollars. That's not much money, right, It is not 379 00:19:55,520 --> 00:19:58,320 Speaker 1: much money. So you know what they should have said 380 00:19:59,640 --> 00:20:03,240 Speaker 1: at the meeting in Cornwall is we're the world's richest countries. 381 00:20:03,600 --> 00:20:07,360 Speaker 1: We are just going to underwrite this entire effort, whatever 382 00:20:07,440 --> 00:20:11,200 Speaker 1: it takes, and we will lobby in however many doses 383 00:20:11,760 --> 00:20:16,879 Speaker 1: it is required, because it's in everybody's best interests, including us. 384 00:20:16,960 --> 00:20:21,760 Speaker 1: The I m F says that and the accelerated vaccine 385 00:20:22,520 --> 00:20:26,200 Speaker 1: UH campaign would add something like seven trillion dollars to 386 00:20:26,240 --> 00:20:29,919 Speaker 1: the global economy, four trillion to rich countries. Right, So 387 00:20:29,960 --> 00:20:31,919 Speaker 1: that's why the economy says this is the deal of 388 00:20:31,960 --> 00:20:34,560 Speaker 1: the century, and and it looks it looks like they've 389 00:20:34,560 --> 00:20:36,960 Speaker 1: turned it down. So Andy, it's you know, above and beyond, 390 00:20:37,000 --> 00:20:38,719 Speaker 1: it's the right thing to do right for the developed 391 00:20:38,720 --> 00:20:40,719 Speaker 1: world to help out the developing world. We've talked with 392 00:20:40,920 --> 00:20:44,320 Speaker 1: was it Joseph Steglenn talked specifically about this as well 393 00:20:44,359 --> 00:20:46,679 Speaker 1: on our air. But it's just it's also there's an 394 00:20:46,720 --> 00:20:49,320 Speaker 1: economic cost by this delay, and we continue to talk 395 00:20:49,359 --> 00:20:53,000 Speaker 1: about this being it's a global health pandemic and it 396 00:20:53,040 --> 00:20:55,520 Speaker 1: doesn't know borders, and if we don't eradicate it, it 397 00:20:55,600 --> 00:20:58,400 Speaker 1: doesn't matter. It's going to kind of stay within our world. Look, 398 00:20:58,440 --> 00:21:00,720 Speaker 1: we don't even know what this cost me. The cost 399 00:21:00,880 --> 00:21:06,480 Speaker 1: could be astronomical. What would happen if it already costs? 400 00:21:06,480 --> 00:21:08,600 Speaker 1: But what's going to happen if if if we get 401 00:21:08,600 --> 00:21:14,400 Speaker 1: a variant that renders the existing vaccines ineffective, and then 402 00:21:14,400 --> 00:21:18,240 Speaker 1: we're all back to square one again? Right, Exactly where 403 00:21:18,280 --> 00:21:21,000 Speaker 1: does China come into this? Because there was a Bloomberg 404 00:21:21,000 --> 00:21:23,160 Speaker 1: Business Week story a few weeks ago that talked about 405 00:21:23,160 --> 00:21:25,480 Speaker 1: the way that many of the countries that were not 406 00:21:25,520 --> 00:21:27,720 Speaker 1: contributing to the vaccine effort around the world are missing 407 00:21:27,720 --> 00:21:29,919 Speaker 1: out because China is stepping in and saying, here, use 408 00:21:29,960 --> 00:21:32,960 Speaker 1: our vaccine. It is but you know, their vaccines aren't 409 00:21:33,000 --> 00:21:35,880 Speaker 1: as effective. They're just quite simply not as good as 410 00:21:36,040 --> 00:21:40,560 Speaker 1: Visor and Madonna and Astra Zeneca. And they've got one 411 00:21:40,560 --> 00:21:43,960 Speaker 1: point for billion people that they need to vaccinate to. 412 00:21:44,080 --> 00:21:48,520 Speaker 1: So the world can't count on China to rescue them. 413 00:21:49,119 --> 00:21:50,600 Speaker 1: It's going to be there in the end. It's going 414 00:21:50,600 --> 00:21:52,680 Speaker 1: to be the rich world that's gonna that that is 415 00:21:52,680 --> 00:21:55,520 Speaker 1: going to have to come in way, way bigger. We're 416 00:21:55,520 --> 00:21:59,600 Speaker 1: talking about billions of vaccines and not one billion. Well, 417 00:21:59,640 --> 00:22:01,560 Speaker 1: and this what's interesting to you have a quote in 418 00:22:01,560 --> 00:22:04,119 Speaker 1: your story from the Deputy General Secretary General excuse me, 419 00:22:04,160 --> 00:22:05,800 Speaker 1: of the United Nations who said this to the Wall 420 00:22:05,840 --> 00:22:08,360 Speaker 1: Street Journal. This has become the inequality of virus. It's 421 00:22:08,400 --> 00:22:10,680 Speaker 1: something we have talked about so much over the past year. 422 00:22:10,920 --> 00:22:12,680 Speaker 1: And if we don't even get this right in terms 423 00:22:12,720 --> 00:22:15,919 Speaker 1: of getting vaccines out, I mean, those gaps just widen 424 00:22:16,000 --> 00:22:18,920 Speaker 1: even further and it takes a long time to kind 425 00:22:18,920 --> 00:22:22,200 Speaker 1: of regain ground. This is a genuine catastrophe. I mean, 426 00:22:22,359 --> 00:22:25,720 Speaker 1: it unwinds so many of the gains that the emerging 427 00:22:25,760 --> 00:22:29,000 Speaker 1: world has made over the last forty fifty years, which 428 00:22:29,000 --> 00:22:32,320 Speaker 1: has resulted in hundreds of millions of people being lifted 429 00:22:32,359 --> 00:22:35,520 Speaker 1: out of poverty, and now you're seeing a hundred million 430 00:22:35,680 --> 00:22:39,159 Speaker 1: or more people being plunged back into poverty. Is it 431 00:22:39,200 --> 00:22:42,720 Speaker 1: too late? It's not too late, but it needs to 432 00:22:42,760 --> 00:22:45,000 Speaker 1: happen now. And this was the other problem that came 433 00:22:45,040 --> 00:22:47,640 Speaker 1: out of Calm Well, that that these vaccine supplies were 434 00:22:47,680 --> 00:22:50,679 Speaker 1: promised in the future, sometime into next year, and of 435 00:22:50,720 --> 00:22:54,000 Speaker 1: course the pandemic is ripping right now through India and 436 00:22:54,040 --> 00:22:57,600 Speaker 1: could rip through Africa. Do we know why the priority 437 00:22:57,640 --> 00:23:00,480 Speaker 1: seems to have shifted? Do we know why that the 438 00:23:00,560 --> 00:23:04,520 Speaker 1: United States, which originally had talked about helping with a 439 00:23:04,560 --> 00:23:07,960 Speaker 1: goal such as this, Why and why other developed nations 440 00:23:08,000 --> 00:23:12,120 Speaker 1: aren't stepping up? Well, of course they prioritize domestic populations, 441 00:23:12,160 --> 00:23:15,320 Speaker 1: which of course every country, every country can and and 442 00:23:15,320 --> 00:23:18,399 Speaker 1: and should do. But and and and look, you know, 443 00:23:18,400 --> 00:23:20,600 Speaker 1: I don't want to I want to hit out at 444 00:23:20,600 --> 00:23:23,040 Speaker 1: the United States. I mean, it's it's done better than 445 00:23:23,080 --> 00:23:27,000 Speaker 1: any other country, right, five hundred million. But the fact 446 00:23:27,119 --> 00:23:30,879 Speaker 1: is that they have been vaccinated. You're now vaccinating younger 447 00:23:30,960 --> 00:23:35,360 Speaker 1: people in rich in rich countries when the vaccination program 448 00:23:35,440 --> 00:23:39,560 Speaker 1: hasn't even begun. I mean, Haiti hasn't had one vaccine, right, 449 00:23:39,640 --> 00:23:43,040 Speaker 1: So we're talking about emergency work as elderly people in 450 00:23:43,080 --> 00:23:47,480 Speaker 1: the emerging world that are completely defenseless, while younger people 451 00:23:47,480 --> 00:23:50,760 Speaker 1: who are less susceptible to the virus are being vaccinated 452 00:23:50,800 --> 00:23:53,520 Speaker 1: in rich countries. This is the kind of inequality that 453 00:23:53,560 --> 00:23:55,520 Speaker 1: the United Nations has been talking about. This is what 454 00:23:55,560 --> 00:23:56,920 Speaker 1: I want to ask you. You know, this is part 455 00:23:56,920 --> 00:23:58,840 Speaker 1: of the problem. Going back to almost day one, right, 456 00:23:58,880 --> 00:24:01,159 Speaker 1: it was like everybody is thinking about their own country 457 00:24:01,160 --> 00:24:03,040 Speaker 1: and Andy, you know, we talked about that there needed 458 00:24:03,080 --> 00:24:04,720 Speaker 1: to be a global response to this, and that we 459 00:24:04,760 --> 00:24:09,000 Speaker 1: could have said, all right, the most vulnerable globally, let's 460 00:24:09,040 --> 00:24:11,480 Speaker 1: do them first. We didn't do any of that. And again, 461 00:24:11,520 --> 00:24:14,120 Speaker 1: does it just go back to we weren't together as 462 00:24:14,160 --> 00:24:16,560 Speaker 1: a as a global community in terms of dealing with this. 463 00:24:16,800 --> 00:24:19,040 Speaker 1: I think that's exactly right, and it makes it really 464 00:24:19,160 --> 00:24:22,000 Speaker 1: worried about you know, if the world can't pull together 465 00:24:22,119 --> 00:24:25,439 Speaker 1: against this pandemic, what about the even greater threat of 466 00:24:25,640 --> 00:24:28,840 Speaker 1: climate change in terms of getting that done? So where 467 00:24:28,840 --> 00:24:31,360 Speaker 1: do we go from here? I mean, is there as 468 00:24:31,640 --> 00:24:35,040 Speaker 1: you know? Timid asked, is this are we too late? Um? 469 00:24:35,119 --> 00:24:38,320 Speaker 1: How do we ramp up? What can developed nations do? 470 00:24:38,359 --> 00:24:41,879 Speaker 1: At this point? The big debate now is around intellectual 471 00:24:41,880 --> 00:24:45,800 Speaker 1: property protection. The World Health Organization and others have been 472 00:24:45,840 --> 00:24:49,919 Speaker 1: calling for rich countries to waive i P protections for 473 00:24:50,040 --> 00:24:53,040 Speaker 1: vaccines so that you can start getting production ramped up 474 00:24:53,400 --> 00:24:56,119 Speaker 1: in the developing well. Joe Biden has come out behind this, 475 00:24:56,480 --> 00:24:58,320 Speaker 1: got a lot of criticism, had got a lot of 476 00:24:58,320 --> 00:25:00,919 Speaker 1: got a lot of criticisms to him. It looks like 477 00:25:00,960 --> 00:25:04,840 Speaker 1: Angelo markel uh in Germany's block this this The G 478 00:25:04,960 --> 00:25:09,640 Speaker 1: seven statement talked about ramping up manufacturing in poorer countries, 479 00:25:09,720 --> 00:25:12,960 Speaker 1: but it didn't address this this issue of IP transfer. 480 00:25:13,520 --> 00:25:16,720 Speaker 1: What's the best economic argument for the world to get 481 00:25:16,760 --> 00:25:19,560 Speaker 1: together and vaccinate the parts of the world that don't 482 00:25:19,560 --> 00:25:23,000 Speaker 1: have access. Well, it's it's it's just as as as 483 00:25:23,000 --> 00:25:29,479 Speaker 1: Carol says, the pandemic doesn't end until everybody has been vaccinated. Um, 484 00:25:29,560 --> 00:25:32,520 Speaker 1: and it's in everybody's economic interest and it's a moral 485 00:25:32,560 --> 00:25:36,879 Speaker 1: imperative of course to get that process started immediately. I 486 00:25:36,920 --> 00:25:38,560 Speaker 1: do wonder when we get on the other side of this, 487 00:25:38,640 --> 00:25:41,040 Speaker 1: whenever the heck that will be andy? Do we walk away? 488 00:25:41,119 --> 00:25:43,919 Speaker 1: I mean, what you folks do at New Economy, You 489 00:25:43,960 --> 00:25:47,680 Speaker 1: have these global conversations, right, and often these problems are identified, 490 00:25:47,720 --> 00:25:50,200 Speaker 1: we know where they are, what needs to be done, 491 00:25:50,480 --> 00:25:53,240 Speaker 1: and yet here we are, you know, still to some extent, 492 00:25:53,280 --> 00:25:57,439 Speaker 1: dealing in crisis mode. So how do we fix this? 493 00:25:57,560 --> 00:26:02,399 Speaker 1: What do the smart voices say? You know it? In 494 00:26:02,440 --> 00:26:05,840 Speaker 1: the end, I'm afraid what happened at the G seven 495 00:26:06,240 --> 00:26:10,679 Speaker 1: doesn't give us much much faith that the world is 496 00:26:10,680 --> 00:26:13,200 Speaker 1: going to fix this. I mean, these are the world's richest, 497 00:26:13,240 --> 00:26:17,400 Speaker 1: most powerful countries, you know. And and the interesting thing 498 00:26:17,440 --> 00:26:20,600 Speaker 1: was that China halved over this whole. Everything they talked 499 00:26:20,640 --> 00:26:23,520 Speaker 1: about was sort of you know, China was behind it, 500 00:26:23,560 --> 00:26:25,439 Speaker 1: and here they are coming out to say, you know, 501 00:26:25,960 --> 00:26:30,200 Speaker 1: we democracies, you know, the free market economies, we've got 502 00:26:30,240 --> 00:26:33,720 Speaker 1: the answers, and you know what an opportunity right now. 503 00:26:33,800 --> 00:26:35,760 Speaker 1: They could and should have come out and said, we're 504 00:26:35,800 --> 00:26:37,679 Speaker 1: gonna do this. We're gonna get this done. We're going 505 00:26:37,720 --> 00:26:39,920 Speaker 1: to vaccinate the world, right, that's how we're going to 506 00:26:40,040 --> 00:26:43,679 Speaker 1: demonstrate this, and it's in their power to do it. Um. 507 00:26:43,720 --> 00:26:46,000 Speaker 1: You know, they have the technology, they have the vaccines, 508 00:26:46,040 --> 00:26:49,480 Speaker 1: they certainly have the money, and they kind of felt 509 00:26:49,680 --> 00:26:52,119 Speaker 1: came up short. So wait just one more time, because 510 00:26:52,119 --> 00:26:55,200 Speaker 1: I know we're so why aren't they? Like to me, 511 00:26:55,280 --> 00:26:58,399 Speaker 1: it's a no brainer, right, And it's like I said, 512 00:26:58,480 --> 00:27:00,960 Speaker 1: you know, it's morally the right thing to do. Why 513 00:27:01,000 --> 00:27:04,240 Speaker 1: aren't they Lack of vision, lack of will, lack of 514 00:27:04,280 --> 00:27:07,879 Speaker 1: political purpose, all of the above. Politics a big thing 515 00:27:07,960 --> 00:27:10,119 Speaker 1: in terms of domestic politics for each of these folks 516 00:27:10,119 --> 00:27:12,639 Speaker 1: back at home. That's that's that's certainly part of it. 517 00:27:12,840 --> 00:27:16,240 Speaker 1: Look off to number one, Andy, Just from a logistical 518 00:27:16,359 --> 00:27:20,600 Speaker 1: point of view, I'm wondering about the number of vaccines 519 00:27:20,640 --> 00:27:23,600 Speaker 1: that that companies can actually produce right now without actually 520 00:27:23,640 --> 00:27:27,840 Speaker 1: transferring the intellectual property. UM is it something that's feasible 521 00:27:28,000 --> 00:27:31,600 Speaker 1: within the next you know, X number of months, given 522 00:27:31,600 --> 00:27:35,000 Speaker 1: the availability of vaccine, given what we know about how 523 00:27:35,359 --> 00:27:37,920 Speaker 1: quickly companies can manufacture them, and given what we know 524 00:27:37,960 --> 00:27:40,760 Speaker 1: about distribution, Like, what's a realistic way to think about this? 525 00:27:40,920 --> 00:27:42,880 Speaker 1: If if the United States and other G seven nations 526 00:27:42,920 --> 00:27:46,760 Speaker 1: were to go to commit to getting the world vaccinated? Well, 527 00:27:46,800 --> 00:27:48,960 Speaker 1: there are there, there are, There are dozens of vaccines 528 00:27:48,960 --> 00:27:51,520 Speaker 1: in the pipeline. We just heard today about the test 529 00:27:51,600 --> 00:27:55,040 Speaker 1: results of another incredibly positive I think it was like 530 00:27:56,800 --> 00:28:01,120 Speaker 1: effect the novovax vaccines. So you know, we we've we've 531 00:28:01,160 --> 00:28:03,439 Speaker 1: got a lot coming into the pipeline. The question is 532 00:28:03,520 --> 00:28:07,320 Speaker 1: equitable distribution of what we have right? Well? And I 533 00:28:07,320 --> 00:28:09,400 Speaker 1: think which kind of shocks me is I feel like 534 00:28:09,640 --> 00:28:12,040 Speaker 1: all along the past year we kind of knew where 535 00:28:12,080 --> 00:28:14,560 Speaker 1: this was going, right, We had these conversations last year, 536 00:28:14,640 --> 00:28:17,520 Speaker 1: what about the developing world? You know, you have millions 537 00:28:17,560 --> 00:28:20,919 Speaker 1: billions of people, uh, and you look at Africa, you 538 00:28:20,920 --> 00:28:23,320 Speaker 1: look at India, you look at emerging Latin America. What 539 00:28:23,320 --> 00:28:24,760 Speaker 1: were we going to do? We knew that this was 540 00:28:24,760 --> 00:28:29,040 Speaker 1: going to be a problem. Yeah, Africa, Africa could be 541 00:28:29,040 --> 00:28:31,400 Speaker 1: the next problem. I mean, they seem to have sort 542 00:28:31,440 --> 00:28:34,399 Speaker 1: of miraculously escaped. So we don't quite know why, but 543 00:28:34,960 --> 00:28:37,159 Speaker 1: right well, I will. The last thing I'll say is 544 00:28:37,200 --> 00:28:39,160 Speaker 1: it also speaks the importance of having a single dose 545 00:28:39,200 --> 00:28:41,440 Speaker 1: shot because if you think about the respective of and 546 00:28:41,520 --> 00:28:43,640 Speaker 1: look again, I only know what what I know and 547 00:28:43,680 --> 00:28:45,280 Speaker 1: what I experienced here in the US, But I was 548 00:28:45,320 --> 00:28:47,920 Speaker 1: helping relatives figure out how to use the websites to 549 00:28:47,920 --> 00:28:51,200 Speaker 1: schedule their vaccines. UM. We were, you know, taking time 550 00:28:51,240 --> 00:28:53,680 Speaker 1: off of work to go to the second dose UM. 551 00:28:53,680 --> 00:28:55,560 Speaker 1: And it speaks to the importance of having a single 552 00:28:55,600 --> 00:28:57,280 Speaker 1: shot to be able to do this in an effective 553 00:28:57,280 --> 00:28:58,960 Speaker 1: way if you don't have so much of the world 554 00:28:59,120 --> 00:29:03,880 Speaker 1: actually having that technology. Right well, it's a very thoughtful column, 555 00:29:03,880 --> 00:29:05,880 Speaker 1: and you know, here we are. We kind of knew 556 00:29:05,880 --> 00:29:07,880 Speaker 1: we were going to get there, but it's upsetting to see, 557 00:29:07,960 --> 00:29:10,000 Speaker 1: especially after the G seven meeting where you thought this 558 00:29:10,040 --> 00:29:12,640 Speaker 1: was the perfect environment for them to all come together. Andy, 559 00:29:12,680 --> 00:29:16,080 Speaker 1: thank you as always, Andy Andy Brown. He's our editorial 560 00:29:16,120 --> 00:29:20,400 Speaker 1: director of Bloomberg New Economy Inner Interactive Brokers Studio. You're 561 00:29:20,440 --> 00:29:24,400 Speaker 1: listening to Bloomberg Business Week with Carol Messer and Bloomberg 562 00:29:24,480 --> 00:29:28,880 Speaker 1: Quick Takes. Tim Stinovic on Bloomberg Radio. Joining us now 563 00:29:29,040 --> 00:29:32,360 Speaker 1: is Joel Weber, editor a Bloomberg business Week, also Lucas Shaw, 564 00:29:32,560 --> 00:29:37,680 Speaker 1: entertainment reporter at Bloomberg News. Lucas, you have a fantastic, 565 00:29:37,880 --> 00:29:42,080 Speaker 1: fantastic feature available in the current issue of Bloomberg Business 566 00:29:42,080 --> 00:29:44,080 Speaker 1: Week magazine you can get on news stands now in 567 00:29:44,120 --> 00:29:46,960 Speaker 1: at Bloomberg dot com slash business Week. It's called The 568 00:29:47,160 --> 00:29:51,440 Speaker 1: King of Cards. Tell Us Lucas who is Ken Golden Golden. 569 00:29:52,600 --> 00:29:59,440 Speaker 1: Ken Golden is a lifelong sports collectibles enthusiast hobbyist who 570 00:29:59,520 --> 00:30:02,720 Speaker 1: started electing cards and other collectibles when he was a 571 00:30:02,760 --> 00:30:05,040 Speaker 1: twelve year old kid in in South New Jersey. He 572 00:30:05,120 --> 00:30:09,040 Speaker 1: now runs what is the largest independent auction house for 573 00:30:09,080 --> 00:30:12,320 Speaker 1: sports collectibles and trading cards. Uh and the house that 574 00:30:13,200 --> 00:30:16,160 Speaker 1: so far this year has broken a new record for 575 00:30:16,200 --> 00:30:18,320 Speaker 1: sales just about every month. He's been doing this for 576 00:30:18,360 --> 00:30:22,200 Speaker 1: some time, correct. Yeah, he started Golden Auctions in two 577 00:30:22,200 --> 00:30:25,920 Speaker 1: thousand twelve. He saw, coming out of the global recession 578 00:30:25,920 --> 00:30:27,880 Speaker 1: in No. Seven or oh eight, that there was an 579 00:30:27,880 --> 00:30:31,440 Speaker 1: interest in investing in alternative assets and that trading cards 580 00:30:31,480 --> 00:30:33,360 Speaker 1: would be one of those places that that all these 581 00:30:33,360 --> 00:30:36,040 Speaker 1: people with excess cash would put their money. But the 582 00:30:36,080 --> 00:30:40,040 Speaker 1: business has really taken off over the last twelve eighteen months, 583 00:30:40,080 --> 00:30:42,040 Speaker 1: so much so that they had a recent auction right 584 00:30:42,080 --> 00:30:45,280 Speaker 1: and crashed the site. Is that right? Yeah? There has 585 00:30:45,320 --> 00:30:48,840 Speaker 1: been he works at this coming on simple auctions dot com. 586 00:30:48,960 --> 00:30:51,960 Speaker 1: And because Golden is such kind of a shameless self 587 00:30:52,000 --> 00:30:55,120 Speaker 1: promoter and has attracted so much attention, there are hackers 588 00:30:55,200 --> 00:31:00,240 Speaker 1: that frequently have attacked the site during his auctions. Let's 589 00:31:00,240 --> 00:31:03,480 Speaker 1: bring in Bloomberg Business Week editor Joel Weber, who joins 590 00:31:03,560 --> 00:31:06,560 Speaker 1: us now on the access line from Brooklyn. Joel, why 591 00:31:06,560 --> 00:31:09,719 Speaker 1: do you think that that that this type of asset 592 00:31:09,800 --> 00:31:11,880 Speaker 1: right now? I mean, look, Lucas said, it's it's been 593 00:31:11,880 --> 00:31:13,920 Speaker 1: having a moment over the last twelve years, but why 594 00:31:13,920 --> 00:31:16,000 Speaker 1: over the last year, over the last sixteen months, has 595 00:31:16,040 --> 00:31:19,080 Speaker 1: it really been having a moment. I think people are 596 00:31:20,000 --> 00:31:24,560 Speaker 1: craving um assets that are are slightly alternative, right, and 597 00:31:24,600 --> 00:31:27,480 Speaker 1: I think like even things like memestock sort of have 598 00:31:27,640 --> 00:31:31,320 Speaker 1: shown that so as we did in that cover story 599 00:31:31,680 --> 00:31:34,880 Speaker 1: um just a couple of months ago about sneakers being 600 00:31:34,960 --> 00:31:37,400 Speaker 1: yet another place if if you can flip something and 601 00:31:37,440 --> 00:31:41,480 Speaker 1: make a buck, h have fun doing it. H I 602 00:31:41,520 --> 00:31:44,400 Speaker 1: think all of that stuff suddenly starts to resonate in 603 00:31:44,440 --> 00:31:47,400 Speaker 1: newfound ways when you know many people have too much 604 00:31:47,440 --> 00:31:50,040 Speaker 1: time on their hands. Um. You know the question I 605 00:31:50,040 --> 00:31:52,560 Speaker 1: have for you, Lucas is, um, how much are all 606 00:31:52,560 --> 00:31:55,760 Speaker 1: these baseball cards from my childhood worth film? You know? 607 00:31:55,840 --> 00:31:57,840 Speaker 1: It depends on what kind of condition they're in? Are 608 00:31:57,920 --> 00:31:59,680 Speaker 1: if are they have you had them graded? Are they 609 00:32:00,120 --> 00:32:04,080 Speaker 1: essay eight or above? No? I have not emims grated. Um, 610 00:32:04,520 --> 00:32:07,000 Speaker 1: and I think there's um, it's a lot of like 611 00:32:07,360 --> 00:32:13,960 Speaker 1: maybe don notdingly seven tops cards. I will say it's 612 00:32:14,000 --> 00:32:17,320 Speaker 1: distressed me how much? Now? I think I could probably 613 00:32:17,360 --> 00:32:20,400 Speaker 1: look at a card and analyze all the tiny little 614 00:32:20,440 --> 00:32:22,600 Speaker 1: flaws in it. Because I had Ken sit down with 615 00:32:22,640 --> 00:32:25,400 Speaker 1: me one day to talk me through these, Like we 616 00:32:25,480 --> 00:32:28,560 Speaker 1: had ten Michael Jordan's rookie cards graded one to ten, 617 00:32:29,240 --> 00:32:31,560 Speaker 1: and I actually it was very easy to spot the 618 00:32:31,600 --> 00:32:34,640 Speaker 1: defects at the lower end. Seeing the difference between what 619 00:32:34,720 --> 00:32:36,360 Speaker 1: the p s A eight and a p S A 620 00:32:36,440 --> 00:32:39,880 Speaker 1: ten seems pretty arbitrary to me. Okay, so a grade 621 00:32:39,880 --> 00:32:43,400 Speaker 1: ten is in the example in your piece from Michael 622 00:32:43,440 --> 00:32:47,240 Speaker 1: Jordan's Michael to Michael Jordan example, a grade ten is 623 00:32:47,280 --> 00:32:50,880 Speaker 1: four hundred and eighty thousand dollars versus a Grade eight 624 00:32:50,920 --> 00:32:53,720 Speaker 1: that would be just eleven thousand, six hundred to twelve 625 00:32:53,720 --> 00:32:56,240 Speaker 1: thousand dollars. Not to mention if you go all the 626 00:32:56,240 --> 00:32:58,720 Speaker 1: way down to a Grade one, which is poor condition, 627 00:32:59,040 --> 00:33:03,240 Speaker 1: U under two three dollars. Lucas. Yeah, there's a huge 628 00:33:03,400 --> 00:33:07,280 Speaker 1: range in prices, uh, you know, all of which is 629 00:33:07,320 --> 00:33:10,400 Speaker 1: determined by these third party grading companies. P s A 630 00:33:10,840 --> 00:33:13,560 Speaker 1: is the number one, but there's also back at those others. 631 00:33:13,600 --> 00:33:17,000 Speaker 1: They have been so overwhelmed by demand this year because 632 00:33:17,000 --> 00:33:19,600 Speaker 1: of people probably like Joel, trying to get their cards graded, 633 00:33:19,880 --> 00:33:22,840 Speaker 1: that they stopped grading new cards for a period. P 634 00:33:23,000 --> 00:33:25,080 Speaker 1: s A has sworn to me that they're hoping by 635 00:33:25,160 --> 00:33:28,440 Speaker 1: July to be back up and running fully. Hey, listen, 636 00:33:28,440 --> 00:33:30,320 Speaker 1: I want to understand how this story came to be, 637 00:33:30,480 --> 00:33:32,440 Speaker 1: so Joel, what was the pict or how did it like? 638 00:33:33,160 --> 00:33:35,360 Speaker 1: How did it come especially start like this with a 639 00:33:35,440 --> 00:33:38,920 Speaker 1: character like this, As with so many things, it starts 640 00:33:38,920 --> 00:33:41,080 Speaker 1: with Lucas and I talking about something else, and then 641 00:33:41,080 --> 00:33:44,040 Speaker 1: he and then he would he emailed me a little 642 00:33:44,080 --> 00:33:45,280 Speaker 1: bit later and he goes, by the way, what are 643 00:33:45,280 --> 00:33:48,280 Speaker 1: you doing about trading cards? And I was like, nothing, 644 00:33:48,320 --> 00:33:50,800 Speaker 1: tell me more, tell me everything, And he was like, well, 645 00:33:50,840 --> 00:33:53,719 Speaker 1: there's this character that that we should profile and and 646 00:33:53,720 --> 00:33:58,360 Speaker 1: and thus began his reporting. Um uh so, So Lucas, 647 00:33:58,440 --> 00:34:01,120 Speaker 1: I'm curious, like, you know, the there's the cards that 648 00:34:01,280 --> 00:34:03,479 Speaker 1: I grew up with, and then which are, let's just 649 00:34:03,680 --> 00:34:06,320 Speaker 1: be honest, worth nothing, and then there are the cards that, 650 00:34:06,600 --> 00:34:11,960 Speaker 1: um are are truly collectibles, and they I think they 651 00:34:12,360 --> 00:34:14,799 Speaker 1: might even they might even push the envelope of like 652 00:34:14,840 --> 00:34:18,000 Speaker 1: what a card means, right, So talk to us about 653 00:34:18,000 --> 00:34:20,600 Speaker 1: where the market is has gone on that front. Yeah, 654 00:34:20,640 --> 00:34:23,919 Speaker 1: one of the things that happened a long time ago. 655 00:34:24,080 --> 00:34:27,440 Speaker 1: There used to be people would manufacture tons of different cards, 656 00:34:27,440 --> 00:34:29,480 Speaker 1: and now all the card manufacturers have gotten a lot 657 00:34:29,480 --> 00:34:31,879 Speaker 1: smarter about it, and so there are going to be 658 00:34:31,960 --> 00:34:34,440 Speaker 1: just kind of generic rookie cards which can be really valuable, 659 00:34:34,440 --> 00:34:37,239 Speaker 1: but they also make kind of one off cards or 660 00:34:37,600 --> 00:34:39,879 Speaker 1: limited sets of ten. Like there's this Luca don Chech 661 00:34:40,000 --> 00:34:42,160 Speaker 1: card that that sold early this year for more than 662 00:34:42,200 --> 00:34:44,520 Speaker 1: four million dollars, and it's because it's one of one, 663 00:34:44,600 --> 00:34:46,839 Speaker 1: and he's this guy who everybody thinks is going to be, 664 00:34:46,880 --> 00:34:49,200 Speaker 1: you know, the next Lebron the next Michael Jordan's. So 665 00:34:49,280 --> 00:34:51,120 Speaker 1: there's been a lot of a lot of efforts to 666 00:34:51,280 --> 00:34:56,040 Speaker 1: restrict supply and create special editions to kind of create scarcity, 667 00:34:56,080 --> 00:34:59,040 Speaker 1: because that's like any market, it booms based on scarcity. 668 00:34:59,400 --> 00:35:02,640 Speaker 1: There's also the added wrinkle sort of where do n 669 00:35:02,680 --> 00:35:05,279 Speaker 1: f T s fit into this, because they're kind of 670 00:35:05,360 --> 00:35:07,960 Speaker 1: like trading cards, but they're not like trading cards. And 671 00:35:08,040 --> 00:35:10,600 Speaker 1: even Ken Golden has started to sell them in his auctions, 672 00:35:10,600 --> 00:35:12,840 Speaker 1: none of them have generated as much money as the 673 00:35:13,120 --> 00:35:14,719 Speaker 1: top of the top of the line trading cards, but 674 00:35:14,760 --> 00:35:17,040 Speaker 1: they still go for tens of thousands of dollars. So 675 00:35:17,040 --> 00:35:18,960 Speaker 1: that's what I was just going to ask you about 676 00:35:19,040 --> 00:35:20,920 Speaker 1: Lucas or n f T s and if that's sort 677 00:35:20,960 --> 00:35:23,000 Speaker 1: of the way in for the next generation, or if 678 00:35:23,040 --> 00:35:25,560 Speaker 1: the next generation is going to continue with the classics. 679 00:35:26,040 --> 00:35:28,600 Speaker 1: I think that a lot of the people buying these 680 00:35:28,640 --> 00:35:32,760 Speaker 1: cards now are the next generation. They're younger people buying 681 00:35:33,080 --> 00:35:37,040 Speaker 1: Pokemon cards. They're also buying basketball cards. The real shift 682 00:35:37,480 --> 00:35:40,279 Speaker 1: in the collectibles market here has been from people who 683 00:35:40,280 --> 00:35:43,320 Speaker 1: want to buy the Don Mattingly cards, the old baseball, 684 00:35:43,360 --> 00:35:46,719 Speaker 1: old school baseball cards, the people who want the the 685 00:35:46,800 --> 00:35:52,560 Speaker 1: contemporary athlete, especially in like basketball, football, soccer. They a 686 00:35:52,600 --> 00:35:54,480 Speaker 1: lot of people have compared it to a form of 687 00:35:54,520 --> 00:35:57,880 Speaker 1: gambling or form of fantasy sports where you are, you know, 688 00:35:57,920 --> 00:36:00,720 Speaker 1: you see somebody play well and their value will jump 689 00:36:01,120 --> 00:36:02,719 Speaker 1: in the market, or you see somebody have an off 690 00:36:02,719 --> 00:36:04,479 Speaker 1: game and maybe you go in to buy it because 691 00:36:04,560 --> 00:36:06,960 Speaker 1: you think that their prime to actually play really well 692 00:36:07,000 --> 00:36:09,680 Speaker 1: for the rest of the season. What about my POGs, 693 00:36:11,560 --> 00:36:14,239 Speaker 1: I think you're you're, you're, you're your out of luckments. 694 00:36:14,280 --> 00:36:19,360 Speaker 1: I don't know if much about right now, Lucas. You 695 00:36:19,480 --> 00:36:22,240 Speaker 1: had a number of really good voices in the story. 696 00:36:22,239 --> 00:36:24,360 Speaker 1: I'm curious what was your what was your favorite interview 697 00:36:24,440 --> 00:36:26,000 Speaker 1: that you got to do and what and what was 698 00:36:26,040 --> 00:36:31,200 Speaker 1: the insight that you got from it. Um, It's a 699 00:36:31,239 --> 00:36:34,399 Speaker 1: good question. Uh, there were a lot of good ones. 700 00:36:34,440 --> 00:36:36,319 Speaker 1: I mean, I love talking to Bill Simmons, who's a 701 00:36:36,320 --> 00:36:39,480 Speaker 1: lifelong collector and who has who has looked at space 702 00:36:39,480 --> 00:36:41,360 Speaker 1: for a long time. I like talking to Kevin Durant's 703 00:36:41,400 --> 00:36:45,200 Speaker 1: business partner, Um, because Kevin Durant has gotten really into collecting. 704 00:36:45,320 --> 00:36:47,160 Speaker 1: We didn't even end up getting to quote him in 705 00:36:47,160 --> 00:36:49,760 Speaker 1: the story, but Kevin Durant has gotten really into collecting 706 00:36:49,800 --> 00:36:51,799 Speaker 1: his own cards. And there was an auction that I 707 00:36:51,880 --> 00:36:55,719 Speaker 1: was monitoring, uh in in in March that Ken did, 708 00:36:55,840 --> 00:36:57,840 Speaker 1: and he had been on the phone with Kevin Durant's 709 00:36:57,840 --> 00:37:00,480 Speaker 1: business partner earlier in the day strategizing to get this 710 00:37:00,520 --> 00:37:03,239 Speaker 1: one rookie card, and then over the course of the night, 711 00:37:03,320 --> 00:37:06,600 Speaker 1: Kevin Durant his partners based in New York, fell asleep 712 00:37:07,080 --> 00:37:09,800 Speaker 1: and the Ken didn't have the clearance to go above 713 00:37:09,840 --> 00:37:12,000 Speaker 1: a certain price threshold to bid on it. So Kevin 714 00:37:12,080 --> 00:37:15,719 Speaker 1: Durant ended up getting out bid for his own rookie card. Um, 715 00:37:16,160 --> 00:37:20,959 Speaker 1: which was just funny to hear. Uh, Steve Cohen, there's 716 00:37:20,960 --> 00:37:25,359 Speaker 1: an aspect of this story, right. Steve Cohen, along with 717 00:37:25,719 --> 00:37:30,040 Speaker 1: this collector, Nat Turner, who was probably the most helpful 718 00:37:30,080 --> 00:37:35,000 Speaker 1: collector that I spoke with, bought this bought Collectors Universe, 719 00:37:35,000 --> 00:37:36,800 Speaker 1: which is the parent company of that grating firm p 720 00:37:36,960 --> 00:37:39,160 Speaker 1: s A. Nat Turner. By the way, this guy who 721 00:37:39,360 --> 00:37:42,120 Speaker 1: you know, he sold his healthcare company along with his 722 00:37:42,200 --> 00:37:44,840 Speaker 1: co founder for like one point nine billion dollars to 723 00:37:45,000 --> 00:37:47,600 Speaker 1: Rosch a few years ago and has since. He is 724 00:37:47,719 --> 00:37:49,960 Speaker 1: he is sitting on so many different cards, is so 725 00:37:50,040 --> 00:37:52,239 Speaker 1: much value that he doesn't know how many cards he 726 00:37:52,320 --> 00:37:54,719 Speaker 1: has or what they're worth. He just knows that all told, 727 00:37:54,760 --> 00:37:58,520 Speaker 1: he's probably got like cards that are worth at least 728 00:37:58,520 --> 00:38:01,840 Speaker 1: a few hundred dollars apiece. So how much is Golden 729 00:38:01,920 --> 00:38:05,920 Speaker 1: really making off all of this? His firm takes a 730 00:38:06,920 --> 00:38:11,640 Speaker 1: cut from every sale so so far this year, I 731 00:38:11,680 --> 00:38:14,280 Speaker 1: think they're at like a hundred fifty or two hundred 732 00:38:14,280 --> 00:38:17,000 Speaker 1: million dollars in sales, which means that his company is 733 00:38:17,040 --> 00:38:19,600 Speaker 1: taking thirty to forty million, which by the way, is 734 00:38:19,640 --> 00:38:22,520 Speaker 1: more than they made in total sales, like the net 735 00:38:22,560 --> 00:38:24,840 Speaker 1: sales from just a couple of years ago. You know, 736 00:38:24,960 --> 00:38:28,440 Speaker 1: he he sold his majority stake in his company earlier 737 00:38:28,480 --> 00:38:30,920 Speaker 1: this year for about forty million dollars, mostly to a 738 00:38:30,920 --> 00:38:32,600 Speaker 1: company called the Churning Group. But there were a ton 739 00:38:32,640 --> 00:38:35,759 Speaker 1: of celebrity investors, and I spoke with Ken not long 740 00:38:35,800 --> 00:38:37,720 Speaker 1: after that deal closed, which at the time it seems 741 00:38:37,760 --> 00:38:39,440 Speaker 1: like a lot of money because he'd never made anything 742 00:38:39,440 --> 00:38:41,680 Speaker 1: close to it, and he already felt like he probably 743 00:38:42,280 --> 00:38:44,560 Speaker 1: sold too soon and didn't get enough given given the 744 00:38:44,600 --> 00:38:47,279 Speaker 1: amount of money that's not coming in for him. Hey, 745 00:38:47,360 --> 00:38:49,799 Speaker 1: lucas Um, when I when I think about the work 746 00:38:49,800 --> 00:38:51,920 Speaker 1: that you've you've done over the last year, I think 747 00:38:51,960 --> 00:38:54,240 Speaker 1: a lot about well a lot of course media reporting, 748 00:38:54,280 --> 00:38:55,759 Speaker 1: but a lot about the way that you've written about 749 00:38:55,800 --> 00:39:00,760 Speaker 1: the way that musicians have sold their catalogs to private 750 00:39:00,760 --> 00:39:03,120 Speaker 1: equity investors and how some investors are treating those as 751 00:39:03,120 --> 00:39:05,759 Speaker 1: an asset class. Is there any connection here to what 752 00:39:05,760 --> 00:39:08,040 Speaker 1: we're seeing with with trading cards? And I know you 753 00:39:08,120 --> 00:39:09,880 Speaker 1: do mention this in the piece, but what is the 754 00:39:09,880 --> 00:39:12,760 Speaker 1: connection between the way that that investors are thinking about 755 00:39:12,840 --> 00:39:16,600 Speaker 1: this type of asset um It's a little I do. 756 00:39:16,680 --> 00:39:19,400 Speaker 1: I think it's related in that there is just too 757 00:39:19,480 --> 00:39:23,680 Speaker 1: much money out there among people to deploy the differences. 758 00:39:23,960 --> 00:39:26,800 Speaker 1: Is music makes a lot of sense to an average 759 00:39:26,800 --> 00:39:29,440 Speaker 1: investor because it performs kind of like a bond. It's 760 00:39:29,480 --> 00:39:32,080 Speaker 1: just an annuity, right, You're like buying an asset that's 761 00:39:32,120 --> 00:39:36,600 Speaker 1: gonna you generate a very reliable amount of money every year, 762 00:39:36,880 --> 00:39:38,600 Speaker 1: and you're betting that that's going to keep going up 763 00:39:38,640 --> 00:39:42,279 Speaker 1: because of streaming. Trading cards does feel a little bit 764 00:39:42,320 --> 00:39:46,160 Speaker 1: more like art, where it's kind of arbitrary people choose 765 00:39:46,200 --> 00:39:49,640 Speaker 1: to just set the market um. But you know, you 766 00:39:49,640 --> 00:39:52,160 Speaker 1: could also, like I said earlier with the gambling, you 767 00:39:52,160 --> 00:39:54,279 Speaker 1: could argue that this is sort of like playing the 768 00:39:54,280 --> 00:39:57,160 Speaker 1: stock market, where you're betting different players. As an individual 769 00:39:57,239 --> 00:40:00,040 Speaker 1: stock you're basically by buying a card of John and 770 00:40:00,239 --> 00:40:03,319 Speaker 1: you're basically buying a stock a piece of a piece 771 00:40:03,320 --> 00:40:05,919 Speaker 1: of stock in his long term value. Alright, we're gonna 772 00:40:06,000 --> 00:40:08,120 Speaker 1: leave it on that note. It's a great I'm sorry, Joel, 773 00:40:08,120 --> 00:40:09,920 Speaker 1: did you have a last one? Oh? I just was 774 00:40:09,920 --> 00:40:12,839 Speaker 1: gonna the One of the other things that this UM 775 00:40:13,040 --> 00:40:15,840 Speaker 1: story and in the accompanying video that was also an 776 00:40:15,880 --> 00:40:18,719 Speaker 1: incredible UM revealed to me is that there's thing I 777 00:40:18,760 --> 00:40:21,600 Speaker 1: think called a break, which is like truly like kind 778 00:40:21,600 --> 00:40:25,200 Speaker 1: of a public service announcement, I guess so, So, Lucas, 779 00:40:25,360 --> 00:40:27,960 Speaker 1: can you quickly describe what a break is and how 780 00:40:27,960 --> 00:40:30,440 Speaker 1: I can get in on it? So when you you 781 00:40:30,520 --> 00:40:33,000 Speaker 1: can buy a box of cards, right, and each one 782 00:40:33,040 --> 00:40:35,960 Speaker 1: of these boxes has several packs within it. And one 783 00:40:36,000 --> 00:40:38,920 Speaker 1: thing that has become very popular on YouTube and Instagram, 784 00:40:38,920 --> 00:40:40,759 Speaker 1: which is how a lot of young people have gotten 785 00:40:40,760 --> 00:40:44,080 Speaker 1: into it, is they make a display of opening these 786 00:40:44,080 --> 00:40:46,040 Speaker 1: boxes and going through it because there's a there's an 787 00:40:46,040 --> 00:40:48,279 Speaker 1: element of surprise right where you open that pack and 788 00:40:48,320 --> 00:40:50,120 Speaker 1: you're going through, it's like want oh, and then on 789 00:40:50,160 --> 00:40:52,040 Speaker 1: the seventh hard happens to be the thing that's gonna 790 00:40:52,040 --> 00:40:55,600 Speaker 1: be really valuable. So Ken breaks every week on Instagram 791 00:40:55,600 --> 00:40:58,800 Speaker 1: with his son. Bill Simmons, the sports writer breaks often 792 00:40:58,800 --> 00:41:01,360 Speaker 1: with his son on Instagram and Ken Golden Flute to 793 00:41:02,280 --> 00:41:04,440 Speaker 1: l A and part earlier this year because he did 794 00:41:04,480 --> 00:41:07,960 Speaker 1: a like a Pokemon break with Logan Paul, the YouTube celebrity. 795 00:41:08,000 --> 00:41:10,440 Speaker 1: So this is a huge thing in youth culture right now. 796 00:41:10,520 --> 00:41:14,720 Speaker 1: I've seen that online. Um, great stuff and a great read, Lucas, 797 00:41:14,719 --> 00:41:16,880 Speaker 1: Thank you so much. Entertainment report at Bloomberg News on 798 00:41:16,920 --> 00:41:19,680 Speaker 1: the phone in Los Angeles, Joe Weber, Editor Bloomberg Business 799 00:41:19,680 --> 00:41:21,920 Speaker 1: Week on the remote access from Brooklyn, and they're actually, 800 00:41:22,440 --> 00:41:25,560 Speaker 1: I guess tried and entertainment pitching an unscripted TV show 801 00:41:26,040 --> 00:41:28,320 Speaker 1: set in the world of trading cards, and we produced 802 00:41:28,320 --> 00:41:31,560 Speaker 1: by a former ESPN executive and a Pond Stars producer, 803 00:41:31,600 --> 00:41:33,120 Speaker 1: which was I was thinking, this has a Pond Stars 804 00:41:33,160 --> 00:41:35,480 Speaker 1: element to it right big time. Yeah. Look, after reading 805 00:41:35,480 --> 00:41:38,480 Speaker 1: this piece by Lucas in Bloomberg Business Week, I'm thinking, Okay, 806 00:41:38,520 --> 00:41:39,920 Speaker 1: this is something I want to know more about. And 807 00:41:39,960 --> 00:41:45,719 Speaker 1: also my pods. Thanks for listening to Bloomberg Business Week. 808 00:41:45,800 --> 00:41:49,400 Speaker 1: Download the podcast on iTunes, SoundCloud or Bloomberg dot com, 809 00:41:49,440 --> 00:41:51,080 Speaker 1: and you can also listen to our radio show at 810 00:41:51,120 --> 00:41:54,200 Speaker 1: two pm Eastern on Bloomberg Radio, or watch US on YouTube. 811 00:41:54,320 --> 00:41:58,719 Speaker 1: Search Bloomberg Global News