1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane. Along 2 00:00:09,240 --> 00:00:13,080 Speaker 1: with Jonathan Ferrell and Lisa brown Witz Jailey, we bring 3 00:00:13,119 --> 00:00:17,159 Speaker 1: you insight from the best and economics, finance, investment and 4 00:00:17,280 --> 00:00:23,280 Speaker 1: international relations. Find Bloomberg Surveillance on Apple podcast, Suncloud, Bloomberg 5 00:00:23,360 --> 00:00:30,880 Speaker 1: dot Com and of course on the Bloomberg terminal. Exceptionally 6 00:00:30,920 --> 00:00:34,080 Speaker 1: important research by the gentleman from Dartmouth. David blanche Flower 7 00:00:34,159 --> 00:00:37,440 Speaker 1: joins us now his public service to his United Kingdom, 8 00:00:37,479 --> 00:00:40,360 Speaker 1: to his Wales, frankly, to his car to football team 9 00:00:40,400 --> 00:00:43,040 Speaker 1: as well, and we're thrilled at Danny bluch Flower could 10 00:00:43,120 --> 00:00:45,720 Speaker 1: join us this morning. Daddy, I'm gonna die good to see. 11 00:00:45,720 --> 00:00:47,800 Speaker 1: I'm gonna digress here. I know John wants to drive 12 00:00:47,800 --> 00:00:51,360 Speaker 1: in dive into this research. We are seeing big tech 13 00:00:51,440 --> 00:00:55,480 Speaker 1: now show that David cart and Alan Krueger got it right. 14 00:00:55,720 --> 00:00:59,520 Speaker 1: They nailed it on the minimum wage. Now we have 15 00:00:59,680 --> 00:01:04,640 Speaker 1: big tech bidding up labor to seventeen eighteen dollars an 16 00:01:04,640 --> 00:01:08,200 Speaker 1: hour across America. What is the effect of big tech 17 00:01:08,600 --> 00:01:15,400 Speaker 1: and a minimum wage? Well, I I always living in Hannow, Hampshire. 18 00:01:15,440 --> 00:01:17,640 Speaker 1: Tom My kids used to go and work at the 19 00:01:17,640 --> 00:01:20,440 Speaker 1: local cinema and they'd work at ten bucks an hour, 20 00:01:21,280 --> 00:01:24,160 Speaker 1: And obviously north of the northern part of the United States, 21 00:01:24,240 --> 00:01:26,680 Speaker 1: the minimum wage didn't bind. But what we're seeing here 22 00:01:27,280 --> 00:01:30,880 Speaker 1: is a labor market adjusting to a shock um and 23 00:01:30,880 --> 00:01:34,280 Speaker 1: and basically firms having to pay the going price. The 24 00:01:34,360 --> 00:01:37,200 Speaker 1: question would you guys are all thinking about, is does 25 00:01:37,280 --> 00:01:40,000 Speaker 1: that continue in the future. Just because there's a once 26 00:01:40,080 --> 00:01:44,080 Speaker 1: off rise in wages doesn't necessarily mean something going forward 27 00:01:44,480 --> 00:01:48,120 Speaker 1: for us. Start with, this week announced three bonus for 28 00:01:48,160 --> 00:01:51,920 Speaker 1: all its staff, but that lifts prices this year and 29 00:01:51,960 --> 00:01:54,720 Speaker 1: does nothing next year. So the question is, you know 30 00:01:54,880 --> 00:01:58,560 Speaker 1: we're we're emerging from a bottleneck. I don't see anything 31 00:01:58,680 --> 00:02:02,559 Speaker 1: really actually suggests that prices in eighteen months will will 32 00:02:02,600 --> 00:02:05,000 Speaker 1: continue to rise. This is a once off jump for 33 00:02:05,040 --> 00:02:07,920 Speaker 1: an economy that's adjusting. Firms are having to pay for 34 00:02:07,960 --> 00:02:11,960 Speaker 1: those shortages. But arise today doesn't mean arise tomorrow. Danny, 35 00:02:11,960 --> 00:02:13,720 Speaker 1: I don't want to bury the lead here. You've got 36 00:02:13,760 --> 00:02:17,079 Speaker 1: a recession call. A recession call when people are looking 37 00:02:17,080 --> 00:02:21,440 Speaker 1: at four percent growth next year, what's the recession call about? Well, 38 00:02:21,560 --> 00:02:23,840 Speaker 1: if you have a new paper coming out on Monday, 39 00:02:23,880 --> 00:02:27,120 Speaker 1: if you and Dave Wilson Twitt put out the chart 40 00:02:27,240 --> 00:02:30,720 Speaker 1: yesterday if you look at what predicts all six of 41 00:02:30,760 --> 00:02:36,639 Speaker 1: the last six recessions, it's actually consumer sentiment, consumer expectations, 42 00:02:36,720 --> 00:02:38,920 Speaker 1: and that if you look at the paper I have 43 00:02:39,000 --> 00:02:42,400 Speaker 1: coming out that turned in the US around April May 44 00:02:42,520 --> 00:02:44,880 Speaker 1: this year, it looks almost identical to what happened in 45 00:02:44,880 --> 00:02:47,400 Speaker 1: two thousand and seven. And people can pooh pooh it, 46 00:02:47,680 --> 00:02:50,440 Speaker 1: but these are the data. These data are precisely what 47 00:02:50,560 --> 00:02:54,040 Speaker 1: explains six of the last six recession. Nothing else does, 48 00:02:54,560 --> 00:02:57,520 Speaker 1: and there are no false calls. So the question is 49 00:02:57,560 --> 00:02:59,640 Speaker 1: what's going on? And I think the answer is that 50 00:03:00,320 --> 00:03:03,000 Speaker 1: it's about the spread of COVID we've seen and at 51 00:03:03,000 --> 00:03:06,120 Speaker 1: the it's particularly amongst women who said they're fearful of 52 00:03:06,160 --> 00:03:08,680 Speaker 1: going back to work, with seeing people withdrawing, and in 53 00:03:08,720 --> 00:03:11,400 Speaker 1: the last month we sort of huge drop in the 54 00:03:11,440 --> 00:03:14,480 Speaker 1: female participation rate of eighteen to twenty five year olds 55 00:03:14,480 --> 00:03:18,960 Speaker 1: and and and sorry to thirty five year olds and 56 00:03:19,000 --> 00:03:21,359 Speaker 1: thirty five to forty four year olds. So I think 57 00:03:21,400 --> 00:03:24,600 Speaker 1: it's women being very fearful. Anxiety in the US has 58 00:03:24,639 --> 00:03:27,160 Speaker 1: reason that suggests spending is going to pull back, and 59 00:03:27,200 --> 00:03:29,880 Speaker 1: it would not be surprising consistent with that to see 60 00:03:29,919 --> 00:03:33,079 Speaker 1: falls in retail trade. So I'm not saying this will happen, 61 00:03:33,160 --> 00:03:35,520 Speaker 1: but all the other data is completely messed up. These 62 00:03:35,600 --> 00:03:38,040 Speaker 1: data are the best you have, and it's rate, and 63 00:03:38,080 --> 00:03:40,839 Speaker 1: it now is flashing rate. Danny. There's a lot here 64 00:03:40,920 --> 00:03:43,560 Speaker 1: to pack to unpack. We've got the participation rate, We've 65 00:03:43,560 --> 00:03:45,520 Speaker 1: got the labor market and the question over whether it's 66 00:03:45,520 --> 00:03:47,600 Speaker 1: tight or loose. And then there's the issue of the 67 00:03:47,640 --> 00:03:50,920 Speaker 1: importance of consumer sentiments surveys, which has been called into 68 00:03:51,000 --> 00:03:54,040 Speaker 1: question by some people. Others would argue that if you 69 00:03:54,040 --> 00:03:56,720 Speaker 1: look at other consumer sentiment surveys, like the Langer one, 70 00:03:56,920 --> 00:03:59,480 Speaker 1: it shows a different picture of the University of Michigan survey. 71 00:03:59,520 --> 00:04:05,000 Speaker 1: The basic this isn't clean either. How would you respond, Well, 72 00:04:05,040 --> 00:04:07,360 Speaker 1: you know they can make stuff up. But the question 73 00:04:07,440 --> 00:04:09,920 Speaker 1: is what does the data actually show. And so there's 74 00:04:10,200 --> 00:04:14,400 Speaker 1: the set of econometrics, particularly show that these things predicted. 75 00:04:14,520 --> 00:04:17,360 Speaker 1: So you you may not like it, but that's factually 76 00:04:17,400 --> 00:04:20,160 Speaker 1: what it does. Particularly in these data we actually now 77 00:04:20,200 --> 00:04:22,719 Speaker 1: have from the Center, from the Conference Board, we have 78 00:04:22,880 --> 00:04:25,560 Speaker 1: data since two thousand and seven on the eight biggest 79 00:04:25,680 --> 00:04:31,080 Speaker 1: states um and basically in the expectations induicries there predict 80 00:04:31,320 --> 00:04:34,279 Speaker 1: behavior twelve months ahead, so people can pooh pooh, just 81 00:04:34,279 --> 00:04:36,479 Speaker 1: go and look at the data, run it yourself. It's 82 00:04:36,480 --> 00:04:38,520 Speaker 1: not the case that they don't like it because they're 83 00:04:38,560 --> 00:04:41,120 Speaker 1: just making it up. The data shows that you can 84 00:04:41,160 --> 00:04:45,360 Speaker 1: predict with exactly these data. The question is whether this 85 00:04:45,440 --> 00:04:48,200 Speaker 1: is the this is the seventh of seven, and is 86 00:04:48,240 --> 00:04:50,960 Speaker 1: this the one that gets it wrong? Um. I think 87 00:04:51,000 --> 00:04:53,560 Speaker 1: the concern is that most of the other data looks 88 00:04:53,600 --> 00:04:55,320 Speaker 1: to be crazy. I mean, if you look at Tom 89 00:04:55,320 --> 00:04:57,760 Speaker 1: always asked me about the wage code, Well, for every 90 00:04:57,800 --> 00:04:59,920 Speaker 1: recession I've ever seen in the world, as the unblow 91 00:05:00,120 --> 00:05:02,680 Speaker 1: rate goes up, wage growth slows. Well, in this one, 92 00:05:02,720 --> 00:05:05,400 Speaker 1: the opposite happens. The Phillips curve now slopes up, the 93 00:05:05,400 --> 00:05:08,159 Speaker 1: wage curve slopes up. It's not clear that that's true. 94 00:05:08,240 --> 00:05:10,760 Speaker 1: And most of the other day, I don't believe you 95 00:05:10,800 --> 00:05:13,599 Speaker 1: asked me which day. I do believe it's these day too. 96 00:05:13,680 --> 00:05:16,440 Speaker 1: So Danny, underlying this is the idea that you don't 97 00:05:16,440 --> 00:05:18,560 Speaker 1: think that the labor market is as tight as other 98 00:05:18,600 --> 00:05:21,239 Speaker 1: people think. That is sort of the presumption that seems 99 00:05:21,279 --> 00:05:24,279 Speaker 1: to be baked in. Can you explain why that is 100 00:05:24,360 --> 00:05:26,040 Speaker 1: at a time when you do see all of these 101 00:05:26,080 --> 00:05:28,880 Speaker 1: job openings and you do see the wage hikes that 102 00:05:28,960 --> 00:05:31,800 Speaker 1: we are seeing right now to entice people back into 103 00:05:31,839 --> 00:05:35,920 Speaker 1: the labor force. Well, the best analogy is that this 104 00:05:36,000 --> 00:05:38,840 Speaker 1: is like a hurricane hitting a place hitt and say that, 105 00:05:38,880 --> 00:05:41,720 Speaker 1: I don't know that the coast of Florida. So presumably 106 00:05:41,720 --> 00:05:43,920 Speaker 1: what happens is when that occurs, is the price of 107 00:05:44,040 --> 00:05:47,960 Speaker 1: roofers and plumbers and gardeners rise as an economy adjusts. 108 00:05:48,400 --> 00:05:50,680 Speaker 1: Just just go back to the fact that we had 109 00:05:50,720 --> 00:05:54,200 Speaker 1: in April, the unemployment rate went from three and a 110 00:05:54,240 --> 00:05:57,640 Speaker 1: half percent to when you calculated right to twenty and 111 00:05:57,720 --> 00:06:01,600 Speaker 1: wage growth went from three to eight percent. Well, so 112 00:06:01,839 --> 00:06:05,240 Speaker 1: unemployment rights like crazy. So what happened was the bottom 113 00:06:05,240 --> 00:06:08,240 Speaker 1: part of the labor market drops out. There are certainly 114 00:06:08,360 --> 00:06:12,960 Speaker 1: adjustment costs coming. People are withdrawing from particular kinds of 115 00:06:13,080 --> 00:06:16,680 Speaker 1: goods for particular kinds of work, and firms are having 116 00:06:16,680 --> 00:06:18,360 Speaker 1: to pay pe because they don't want to go and 117 00:06:18,440 --> 00:06:20,560 Speaker 1: work in a school, they don't want to work in 118 00:06:20,920 --> 00:06:24,720 Speaker 1: consumer facing places. And that's the surveys from Grant Thornton 119 00:06:24,760 --> 00:06:27,360 Speaker 1: and the conference boards saying people if they're forced to 120 00:06:27,400 --> 00:06:29,160 Speaker 1: go back to work, they're going to look for another 121 00:06:29,240 --> 00:06:32,280 Speaker 1: job or quit. So we're seeing people retiring. So this 122 00:06:32,360 --> 00:06:35,120 Speaker 1: is an adjustment of an economy that's been hit by 123 00:06:35,120 --> 00:06:37,760 Speaker 1: this shock, and people are fearful, and all the evidences 124 00:06:37,839 --> 00:06:41,600 Speaker 1: that fear rose dramatically around May of this year, and 125 00:06:41,640 --> 00:06:44,960 Speaker 1: that it particularly is driven by women being fearful that 126 00:06:45,000 --> 00:06:47,279 Speaker 1: they all got to work and bring something home to 127 00:06:47,320 --> 00:06:50,760 Speaker 1: their families. That's consistent with the data. I mean, whether 128 00:06:50,960 --> 00:06:55,279 Speaker 1: whether whether this is whether this is predictive, we will see, 129 00:06:55,560 --> 00:06:58,440 Speaker 1: but be mindful that the people who guess have no 130 00:06:58,880 --> 00:07:01,239 Speaker 1: no mechanism by which they can predict the last six 131 00:07:01,640 --> 00:07:04,520 Speaker 1: and these days to predicted six of the last six, 132 00:07:04,960 --> 00:07:07,600 Speaker 1: and so it's mindful to them to come up with, well, 133 00:07:07,640 --> 00:07:09,760 Speaker 1: how do you predict the session with what you have 134 00:07:09,880 --> 00:07:11,640 Speaker 1: been talking about? And the answer is they can't. They're 135 00:07:11,680 --> 00:07:13,880 Speaker 1: just making it up. Nobody has a crystal ball, Danny. 136 00:07:13,920 --> 00:07:15,760 Speaker 1: It's always going to catch up, sir, before you go. 137 00:07:16,320 --> 00:07:19,160 Speaker 1: Before you go, an important note, we were all thinking 138 00:07:19,200 --> 00:07:21,920 Speaker 1: of the late great Alan Krueger this week. I know 139 00:07:22,040 --> 00:07:25,720 Speaker 1: you were too, sir. Your thoughts on that, buddy, Well, 140 00:07:25,800 --> 00:07:30,200 Speaker 1: I'm so pleased that David Carden and Josh and Guido 141 00:07:30,400 --> 00:07:33,400 Speaker 1: got this prize. But if you read, if you read 142 00:07:33,520 --> 00:07:36,000 Speaker 1: the thing from the Nobel Prize. Most of this work 143 00:07:36,120 --> 00:07:39,760 Speaker 1: was joined with Alan um Alan, our friend and colleague 144 00:07:39,800 --> 00:07:42,320 Speaker 1: beyond Blumber for a really long time. So I was 145 00:07:42,400 --> 00:07:45,080 Speaker 1: really pleased at the price came. But it was a 146 00:07:45,120 --> 00:07:46,920 Speaker 1: sad day too. It was a great day for the 147 00:07:46,920 --> 00:07:49,320 Speaker 1: work that he did. The guy was a shoe in 148 00:07:49,480 --> 00:07:51,960 Speaker 1: for a Nobel and if you read it, I mean 149 00:07:52,000 --> 00:07:54,600 Speaker 1: he should have been there on the stage. His work 150 00:07:54,720 --> 00:07:57,920 Speaker 1: is was brilliant and wonderful and we miss him hugely. 151 00:07:57,960 --> 00:08:01,040 Speaker 1: We don't understand why, lovely Danny, well, we all miss 152 00:08:01,120 --> 00:08:03,080 Speaker 1: him this week. And Danny just finally, you've been saying 153 00:08:03,120 --> 00:08:05,600 Speaker 1: for a long time, thinking about the work of An 154 00:08:05,720 --> 00:08:08,800 Speaker 1: and Crewe ground others, that the Nobild Prize needed to change. 155 00:08:09,120 --> 00:08:10,920 Speaker 1: We needed to get to award it to someone who's 156 00:08:10,920 --> 00:08:14,960 Speaker 1: actually found something out that we can work with. I 157 00:08:15,000 --> 00:08:17,880 Speaker 1: think that's right. And if you look the Economics Prize, 158 00:08:17,880 --> 00:08:21,560 Speaker 1: a Young Prize, you award your awards stuff and methodology, um, 159 00:08:21,600 --> 00:08:24,840 Speaker 1: and eventually you have to stop that and and actually 160 00:08:24,840 --> 00:08:27,360 Speaker 1: it will start to award for people who found things. 161 00:08:27,720 --> 00:08:29,880 Speaker 1: In essence, there was a prize to ago to the 162 00:08:29,880 --> 00:08:31,720 Speaker 1: flow on a Husband and that was great, but in 163 00:08:32,200 --> 00:08:35,439 Speaker 1: essence it probably should have come first, the Card and Kruger, 164 00:08:35,480 --> 00:08:37,160 Speaker 1: and in fact, if it had come and Alan would 165 00:08:37,160 --> 00:08:39,560 Speaker 1: have been alive. But I think what we're actually going 166 00:08:39,640 --> 00:08:41,200 Speaker 1: to see, and you could look back on the prize 167 00:08:41,240 --> 00:08:44,040 Speaker 1: in economics and say, what do these people find? It 168 00:08:44,120 --> 00:08:46,800 Speaker 1: is what they actually wrote true, and the vast majority 169 00:08:46,800 --> 00:08:48,720 Speaker 1: of the case we have no idea. So I think 170 00:08:48,760 --> 00:08:51,520 Speaker 1: increasingly what we're hopefully going to see a prize is 171 00:08:51,559 --> 00:08:54,840 Speaker 1: given to people who found stuff, And David Carter and 172 00:08:54,880 --> 00:08:57,840 Speaker 1: Alan Kruger found stuff about the minimum wage. David worked 173 00:08:57,880 --> 00:09:01,160 Speaker 1: on the Marial boatlift, and work on about immigration, and 174 00:09:01,559 --> 00:09:03,480 Speaker 1: you know, the rate of return to schooling and all 175 00:09:03,520 --> 00:09:07,560 Speaker 1: sorts of cool things. So I'm just really impressed with it. 176 00:09:07,720 --> 00:09:12,920 Speaker 1: But John and and Tom, I mean, this guy was 177 00:09:12,960 --> 00:09:15,079 Speaker 1: a great guy, and we've missed him in America, and 178 00:09:15,160 --> 00:09:18,400 Speaker 1: the academic communities worse off for the loss of a group. 179 00:09:19,040 --> 00:09:22,400 Speaker 1: Hey here, Danny, Hey here, a great man, Danny Plans, 180 00:09:22,720 --> 00:09:32,040 Speaker 1: Thank you, sir. We finished strong here in this last 181 00:09:32,080 --> 00:09:35,800 Speaker 1: half hour this morning with Jennifer Lee, senior economist at DEMO. 182 00:09:35,880 --> 00:09:38,400 Speaker 1: Were thrilled that she could join us this morning. Jennifer, 183 00:09:38,440 --> 00:09:41,280 Speaker 1: the arch debate right now is a consumer where the 184 00:09:41,320 --> 00:09:44,240 Speaker 1: glass is half full, or a consumer where the glass 185 00:09:44,280 --> 00:09:48,600 Speaker 1: is half empty. Which is it. I'm going to go 186 00:09:48,800 --> 00:09:52,439 Speaker 1: with the glass is half full? Story Um, good morning everyone. 187 00:09:52,480 --> 00:09:54,839 Speaker 1: I think if you heard a big five relief down 188 00:09:54,840 --> 00:09:56,760 Speaker 1: to the studio is probably me when I when I 189 00:09:56,760 --> 00:09:59,559 Speaker 1: saw the other headline numbers as Michael's just saying, you 190 00:09:59,600 --> 00:10:02,800 Speaker 1: a very strong beat and strengths across the board. So 191 00:10:02,960 --> 00:10:06,120 Speaker 1: weird results such as as you pointed up with the 192 00:10:06,160 --> 00:10:09,079 Speaker 1: auto sector with stronger auto sales. But so I'll take 193 00:10:09,080 --> 00:10:10,360 Speaker 1: it with a little bit of a grain of salt. 194 00:10:10,400 --> 00:10:13,520 Speaker 1: Maybe they're trying to get a little bit of relief. 195 00:10:13,559 --> 00:10:16,000 Speaker 1: I think, just getting some more chips out there and 196 00:10:16,040 --> 00:10:18,920 Speaker 1: into the cars of awful lots. I think the most 197 00:10:18,920 --> 00:10:21,760 Speaker 1: telling or the most interesting point, this is the one 198 00:10:21,800 --> 00:10:24,880 Speaker 1: I always look at, is like the dining out just um. 199 00:10:24,920 --> 00:10:27,240 Speaker 1: I think that speaks volumes about you know, where the 200 00:10:27,280 --> 00:10:29,720 Speaker 1: consumer is apt these days and if they're still confident 201 00:10:29,840 --> 00:10:32,280 Speaker 1: enough it's still comfortable enough to go out there and 202 00:10:32,440 --> 00:10:34,000 Speaker 1: you know, have lunch or have a glass of wine 203 00:10:34,000 --> 00:10:36,240 Speaker 1: on the patio. I think that's that's very positive news. 204 00:10:36,840 --> 00:10:39,960 Speaker 1: Help us with the ambiguity of if rates go up, 205 00:10:40,000 --> 00:10:43,520 Speaker 1: inflation and goes up, there's a better economy, etcetera. There's 206 00:10:43,520 --> 00:10:46,480 Speaker 1: a group that says the ambiguity will tilt towards woe 207 00:10:46,600 --> 00:10:49,439 Speaker 1: is me, do this do this worry and others saying 208 00:10:49,480 --> 00:10:52,480 Speaker 1: this is every sign of a good economy, which is it? 209 00:10:53,840 --> 00:10:56,840 Speaker 1: You know, obviously a lot of people if you're if 210 00:10:56,840 --> 00:10:59,439 Speaker 1: you're a big borrower, you're not gonna want those higher rates. 211 00:10:59,480 --> 00:11:01,880 Speaker 1: But um, you know, we don't want to see the 212 00:11:01,920 --> 00:11:05,080 Speaker 1: FED or any central bank for that matter, staying on 213 00:11:05,080 --> 00:11:08,480 Speaker 1: the sigline, staying in this emergency accommodative mold forever. I mean, 214 00:11:08,480 --> 00:11:10,880 Speaker 1: that's obviously not good news, and there's not a good 215 00:11:10,920 --> 00:11:12,960 Speaker 1: sign for the for the for any economy. So the 216 00:11:13,000 --> 00:11:16,000 Speaker 1: fact that they are finally um you know, talking about 217 00:11:16,040 --> 00:11:18,240 Speaker 1: not even talking about, they're actually gonna do it. Um, 218 00:11:18,400 --> 00:11:20,720 Speaker 1: they're going to start tapering, you know, probably to make 219 00:11:20,840 --> 00:11:24,000 Speaker 1: the announcement at the November meeting and probably kick it 220 00:11:24,000 --> 00:11:26,880 Speaker 1: off before the end of the month or earlier or 221 00:11:27,160 --> 00:11:29,120 Speaker 1: at the December meeting. You know. The fact that they're 222 00:11:29,120 --> 00:11:31,840 Speaker 1: actually doing that, I think is speaks volumes for the 223 00:11:31,840 --> 00:11:34,319 Speaker 1: economy and the fact that we are finally moving away 224 00:11:34,400 --> 00:11:38,040 Speaker 1: from this emergency these emergency measures and trying to get 225 00:11:38,080 --> 00:11:41,560 Speaker 1: back toward some semblance of normalcy. Jennifer, can you respond 226 00:11:41,559 --> 00:11:45,400 Speaker 1: to Danny Blancheflower please, basically saying the consumer sentiment indications 227 00:11:45,640 --> 00:11:47,959 Speaker 1: point to a very different story than some of these 228 00:11:48,040 --> 00:11:51,640 Speaker 1: other indicators, and yet we are seeing ongoing strength. Can 229 00:11:51,679 --> 00:11:54,160 Speaker 1: you sort of pair these differences as we wait for 230 00:11:54,160 --> 00:11:58,280 Speaker 1: that ten am Eastern University of Michigan sentiment survey. So 231 00:11:58,360 --> 00:12:01,520 Speaker 1: I think those the surveys are always interesting to look at, 232 00:12:01,559 --> 00:12:03,680 Speaker 1: but you know, it's it depends on the timing of 233 00:12:03,679 --> 00:12:05,920 Speaker 1: this survey. You know, when you're catching I mean I 234 00:12:05,960 --> 00:12:07,280 Speaker 1: had to see it, but you know, your your mood 235 00:12:07,320 --> 00:12:09,640 Speaker 1: could change. I think, you know, from from from from 236 00:12:09,720 --> 00:12:11,880 Speaker 1: day to day. But you know, I think it's uh, 237 00:12:12,240 --> 00:12:14,360 Speaker 1: it's it's the overall trend. Like right now, for example, 238 00:12:14,440 --> 00:12:17,200 Speaker 1: the University of Michigan, Uh, we're waiting for at ten o'clock. 239 00:12:17,480 --> 00:12:20,720 Speaker 1: The numbers have actually been been fairly low, the confidence levels, 240 00:12:20,760 --> 00:12:22,599 Speaker 1: but they are off the bottom, which is which is 241 00:12:22,640 --> 00:12:24,959 Speaker 1: a good sign. And so I sort of like I 242 00:12:25,080 --> 00:12:26,839 Speaker 1: take it as a mix between what we're seeing for 243 00:12:26,920 --> 00:12:29,880 Speaker 1: the Conference Board measure for example, and the University of Michigan. 244 00:12:30,240 --> 00:12:32,360 Speaker 1: But overall, you know, if if think it all goes 245 00:12:32,440 --> 00:12:35,120 Speaker 1: back to you know, the fundamentals. Uh, you know, whether 246 00:12:35,240 --> 00:12:37,960 Speaker 1: or not there is a job out there for for 247 00:12:38,040 --> 00:12:40,120 Speaker 1: the for the average American. And we all know that 248 00:12:40,120 --> 00:12:42,880 Speaker 1: the john market is extremely tight right now with still 249 00:12:42,920 --> 00:12:45,920 Speaker 1: almost eleven million jobs available out there, So the job 250 00:12:46,040 --> 00:12:49,640 Speaker 1: market is strong, wages are rising, Uh, the household net 251 00:12:49,679 --> 00:12:51,480 Speaker 1: worth I still I believe is at an all time 252 00:12:51,559 --> 00:12:54,840 Speaker 1: high as well. All those are really strong sources of support. 253 00:12:55,120 --> 00:12:57,840 Speaker 1: So yes, we'll get swayed by the day to day um. 254 00:12:57,880 --> 00:13:00,199 Speaker 1: You know, um stories about you know about the Delta 255 00:13:00,280 --> 00:13:03,280 Speaker 1: Varian or we know with all these supply issues and 256 00:13:03,320 --> 00:13:05,120 Speaker 1: all that, um. But at the end of the day, 257 00:13:05,160 --> 00:13:07,720 Speaker 1: just I think with the average consumer knowing that they 258 00:13:07,760 --> 00:13:10,400 Speaker 1: have a city income, knowing that they have a strong network, 259 00:13:10,440 --> 00:13:13,079 Speaker 1: I think speaks against six volumes. Jennifer, thank you for 260 00:13:13,160 --> 00:13:21,800 Speaker 1: you want to get Steni Felida now a one hour 261 00:13:21,960 --> 00:13:25,120 Speaker 1: conversation on Golden Sachs. Well, okay, we'll do it in 262 00:13:25,280 --> 00:13:28,000 Speaker 1: less than one hour. Christian Balloo joins us with a 263 00:13:28,160 --> 00:13:31,800 Speaker 1: really really important look at Golden Sex Senior analyst and 264 00:13:31,880 --> 00:13:35,160 Speaker 1: Autonomous Research this morning, Christian, I'm gonna go retail and 265 00:13:35,240 --> 00:13:38,600 Speaker 1: you Lisa's got some other thoughts on Marcus, which you 266 00:13:38,720 --> 00:13:42,640 Speaker 1: say is grossly underestimated. I want to talk to you 267 00:13:42,800 --> 00:13:48,120 Speaker 1: about Clay Christiansen and the classic innovator's dilemma and all 268 00:13:48,200 --> 00:13:52,840 Speaker 1: of the major banks scared stiff of neo banks. How 269 00:13:52,960 --> 00:13:58,200 Speaker 1: Solomon and Goldman Sachs doing on challenging the innovator's dilemma 270 00:13:58,600 --> 00:14:03,160 Speaker 1: and doing neo bank right. It did a very good job. 271 00:14:03,200 --> 00:14:07,319 Speaker 1: But I think they had very early insights in that 272 00:14:07,400 --> 00:14:11,319 Speaker 1: you could essentially build a any type a bank essentially 273 00:14:11,679 --> 00:14:15,320 Speaker 1: from scratchy don't have any legacy infrastructure, whether that be 274 00:14:15,559 --> 00:14:20,160 Speaker 1: physical footprint or or a technology, and that allowed them 275 00:14:20,200 --> 00:14:23,600 Speaker 1: to really create something interesting. It's not perfect. Um, they 276 00:14:23,640 --> 00:14:27,520 Speaker 1: still don't have a robust check in feature or robust 277 00:14:28,080 --> 00:14:32,040 Speaker 1: robust payment features. But I think I think the point 278 00:14:32,080 --> 00:14:34,640 Speaker 1: here is I think they've been they're a very good job, 279 00:14:34,680 --> 00:14:36,600 Speaker 1: and I think it's been someone on the look to 280 00:14:36,680 --> 00:14:39,040 Speaker 1: think when you think about the partnership that if if, 281 00:14:39,160 --> 00:14:42,760 Speaker 1: if they've they've acquired where it's Apple, et cetera. It 282 00:14:42,800 --> 00:14:47,080 Speaker 1: does speak to the technology prowess of the Marcus Marcus franchise. 283 00:14:47,760 --> 00:14:52,000 Speaker 1: Will the old banks build their neo banks like Goldman, 284 00:14:52,560 --> 00:14:57,360 Speaker 1: or will they acquire their neo banks. That's an interesting question. 285 00:14:57,360 --> 00:14:59,240 Speaker 1: I probably leave that one to my UM too much 286 00:14:59,280 --> 00:15:02,320 Speaker 1: to my bank A. I think the issue acquisitions is, 287 00:15:02,520 --> 00:15:06,320 Speaker 1: I mean these folks are expensive, right, UM, it would 288 00:15:06,320 --> 00:15:10,240 Speaker 1: be probably pretty dilutive to go and require a decent 289 00:15:10,280 --> 00:15:13,160 Speaker 1: sized new bank as so much suspicion is most of 290 00:15:13,200 --> 00:15:18,040 Speaker 1: it will be done organically. Build up perspective, but again 291 00:15:18,520 --> 00:15:21,680 Speaker 1: probably better for my band collects. Comment on that, Christian 292 00:15:21,840 --> 00:15:25,120 Speaker 1: more broadly, why do you think the Goldman's access transformation 293 00:15:25,200 --> 00:15:29,680 Speaker 1: has been underappreciated by other analysts? It's it's a great question. 294 00:15:29,760 --> 00:15:31,520 Speaker 1: I think part of it is we are in a 295 00:15:31,760 --> 00:15:34,360 Speaker 1: very robust part of the capital market cycle, as you 296 00:15:34,480 --> 00:15:37,520 Speaker 1: just seen today. Um, they could put keep putting out 297 00:15:37,640 --> 00:15:39,800 Speaker 1: blowout results of the blow out results, a lot of 298 00:15:39,800 --> 00:15:43,280 Speaker 1: it driven by a traditional goldmen you know, strong m 299 00:15:43,320 --> 00:15:46,520 Speaker 1: and a strong Equitti's trading things that were you know 300 00:15:46,560 --> 00:15:49,800 Speaker 1: that people are traditionally who don't know goldmen traditionally four 301 00:15:50,160 --> 00:15:53,480 Speaker 1: And I think it's it's really um if you like 302 00:15:53,680 --> 00:15:59,440 Speaker 1: masked the broader transformation, particularly a Marcus and also very 303 00:15:59,440 --> 00:16:04,680 Speaker 1: important on alternative UM, the alternative asset manager remember uh 304 00:16:04,720 --> 00:16:07,240 Speaker 1: at this by our analysis Goldman is probably the fastest 305 00:16:07,240 --> 00:16:11,000 Speaker 1: growing skills alternative asset manager out there. That is not 306 00:16:11,080 --> 00:16:14,520 Speaker 1: an easy feats giving um, you know, the competitive landscaping 307 00:16:14,560 --> 00:16:17,640 Speaker 1: that business. So there's been a lot of really good 308 00:16:17,720 --> 00:16:21,320 Speaker 1: stuff going underneath. But the reality is, you know, you know, 309 00:16:21,440 --> 00:16:25,960 Speaker 1: results just dominated by absolutely awesome investment bank that's doing 310 00:16:26,400 --> 00:16:28,760 Speaker 1: that is probably a tole cycle. Well that's that's where 311 00:16:28,800 --> 00:16:30,240 Speaker 1: I wanted to go with this. I mean, because if 312 00:16:30,240 --> 00:16:32,000 Speaker 1: you actually look at asset management, there was a slight 313 00:16:32,120 --> 00:16:34,680 Speaker 1: miss there, but really it's the investment banking, the trading 314 00:16:34,760 --> 00:16:36,960 Speaker 1: that came in one and a half a billion dollars 315 00:16:37,000 --> 00:16:40,320 Speaker 1: in revenue above what the expectation was. I mean, it 316 00:16:40,480 --> 00:16:43,960 Speaker 1: was a blowout quarter. Is this the cycle peak or 317 00:16:44,200 --> 00:16:47,160 Speaker 1: is this Goldman Sachs gaining share from others gaining share 318 00:16:47,240 --> 00:16:51,600 Speaker 1: particularly from the European peers. A good question. It's always 319 00:16:51,640 --> 00:16:53,040 Speaker 1: had to call it peak, so I'm not going to 320 00:16:53,120 --> 00:16:56,480 Speaker 1: exactly call the peak, but we are somewhere around. UM 321 00:16:56,680 --> 00:16:58,880 Speaker 1: and when we're some way in the mountain top right, 322 00:16:59,160 --> 00:17:01,440 Speaker 1: and you already begins is some businesses rule of us. 323 00:17:01,480 --> 00:17:04,800 Speaker 1: So fixed income has always started to slow down, Equities 324 00:17:04,920 --> 00:17:07,800 Speaker 1: still growing m and a still growing uh, but but 325 00:17:07,960 --> 00:17:11,120 Speaker 1: clearly we are we are very strong here at twenty 326 00:17:11,240 --> 00:17:14,840 Speaker 1: twenty and twenty one will be the best here's for 327 00:17:15,040 --> 00:17:19,879 Speaker 1: investment banking since two thousand and nine, right, so you 328 00:17:19,920 --> 00:17:22,000 Speaker 1: know we know what happened after two nine. Um So, 329 00:17:22,160 --> 00:17:25,280 Speaker 1: so I do think we are we are close to 330 00:17:25,720 --> 00:17:29,800 Speaker 1: um something that feels h near a peak. That said, though, 331 00:17:30,080 --> 00:17:32,440 Speaker 1: that's that's the Goldman. It's very important to remember that 332 00:17:32,480 --> 00:17:35,639 Speaker 1: the game market share, so in fixed income share has 333 00:17:35,680 --> 00:17:39,760 Speaker 1: almost doubled by our analysis, from seven percent in twenty seventeen, 334 00:17:40,000 --> 00:17:43,840 Speaker 1: it's about twelve thirteen percent today. In equities, they've been 335 00:17:43,840 --> 00:17:46,000 Speaker 1: getting about a hundred based points of market share every 336 00:17:46,080 --> 00:17:49,520 Speaker 1: year since twenty seventeen as well, So you have seen 337 00:17:49,600 --> 00:17:52,639 Speaker 1: market share growth of Goldman UM. So it's a combination 338 00:17:52,760 --> 00:17:56,560 Speaker 1: of strong markets and market share games. We compare Goldman, 339 00:17:56,600 --> 00:17:59,439 Speaker 1: Sachs and Morgan Stanley frequently. Who's winning in your opinion? 340 00:18:01,400 --> 00:18:03,680 Speaker 1: That's it's a it's a really good question. Look, I 341 00:18:03,760 --> 00:18:07,200 Speaker 1: think when you think about strategic evolution, it's very clear 342 00:18:07,240 --> 00:18:10,399 Speaker 1: that Morgan Stanley is ahead, right. They they've been on 343 00:18:10,480 --> 00:18:13,480 Speaker 1: a longer path and arguably kind of in a steady 344 00:18:13,520 --> 00:18:16,440 Speaker 1: state now with a new business model right, it's basically 345 00:18:16,520 --> 00:18:19,800 Speaker 1: a wealth and as a manager they had their growth 346 00:18:19,960 --> 00:18:22,720 Speaker 1: rates are comparable to anybody in the industry, best in 347 00:18:22,800 --> 00:18:26,080 Speaker 1: class organic growth rates of almost ten percent. That's comparable 348 00:18:26,119 --> 00:18:28,159 Speaker 1: to again best in class, like a show up, So 349 00:18:28,240 --> 00:18:31,360 Speaker 1: they really have you know, they're there. They figured out 350 00:18:32,000 --> 00:18:34,800 Speaker 1: the strategy and there there. I think they're there. And 351 00:18:34,840 --> 00:18:37,560 Speaker 1: then Goldman is motivate process. We're still in the middle 352 00:18:37,560 --> 00:18:40,320 Speaker 1: of the transition here. Uh, and so there's still an 353 00:18:40,359 --> 00:18:42,600 Speaker 1: execution to go. So if you want to ask me 354 00:18:43,160 --> 00:18:47,800 Speaker 1: in terms of a UM strategic transformation, timeline of Morgan 355 00:18:47,840 --> 00:18:51,639 Speaker 1: Stanley is clearly ahead. Is there an urge to merge? 356 00:18:51,680 --> 00:18:55,680 Speaker 1: I mean I mentioned scale earlier. Is there a frenzy 357 00:18:56,080 --> 00:18:59,560 Speaker 1: where we are in the interest rate environment or maybe 358 00:18:59,600 --> 00:19:04,440 Speaker 1: the death acquiring environment to do transactions, to do can 359 00:19:04,880 --> 00:19:10,320 Speaker 1: combinations to generate scale? I think so. I think Morgan 360 00:19:10,359 --> 00:19:12,040 Speaker 1: Stanley has been a post a child of how to 361 00:19:12,160 --> 00:19:14,960 Speaker 1: do this right. You know, you figure out a strategy 362 00:19:15,600 --> 00:19:18,560 Speaker 1: and essentially take advantage of um UM you know, very 363 00:19:18,600 --> 00:19:21,720 Speaker 1: accommodating markets to what an accelerate and strategy by M 364 00:19:21,800 --> 00:19:24,560 Speaker 1: and A. But it's advanced a fast forward as a 365 00:19:24,600 --> 00:19:27,359 Speaker 1: manager and the bot you trade to really posted the 366 00:19:27,400 --> 00:19:30,800 Speaker 1: wealth management franchise and it's it's not one of us. 367 00:19:30,800 --> 00:19:35,320 Speaker 1: They've actually had multiple expansion on buying. Essentially, do companies 368 00:19:35,320 --> 00:19:38,240 Speaker 1: that would do need to taxical book which you probably 369 00:19:38,280 --> 00:19:40,680 Speaker 1: wouldn't have happened a couple of years ago. So so 370 00:19:41,119 --> 00:19:44,119 Speaker 1: I certainly am one that believes that clever M and 371 00:19:44,200 --> 00:19:48,760 Speaker 1: A UM in this environment where innovation is happening very quickly, 372 00:19:49,440 --> 00:19:53,360 Speaker 1: UM and and and and financing is you know, very 373 00:19:53,440 --> 00:19:55,640 Speaker 1: available and EM and it makes a lot of sense 374 00:19:55,760 --> 00:19:58,960 Speaker 1: to U to to to accelerate code. You gotta leave 375 00:19:58,960 --> 00:20:00,960 Speaker 1: it there, Christian Bolder, thing for for the brief with 376 00:20:01,080 --> 00:20:04,760 Speaker 1: autonomous research today on not Global Wall Street, but well 377 00:20:04,800 --> 00:20:07,240 Speaker 1: they are global, but let's call it American Wall Street. 378 00:20:07,560 --> 00:20:15,240 Speaker 1: As well as we spoke to Adam Posing and this 379 00:20:15,359 --> 00:20:18,600 Speaker 1: allusion to the research of Olivier Blanchard. We now speak 380 00:20:18,640 --> 00:20:22,680 Speaker 1: with John Lipsky. He's a former first deputy Managing director 381 00:20:22,800 --> 00:20:26,119 Speaker 1: and interimanaging director of a tumultuous I m F. And 382 00:20:26,200 --> 00:20:28,840 Speaker 1: what is so important about John Lipsky's work now at 383 00:20:28,920 --> 00:20:32,360 Speaker 1: Johns Hopkins is not his public service but the when 384 00:20:32,440 --> 00:20:35,080 Speaker 1: of it. He was in the crucible of the financial 385 00:20:35,160 --> 00:20:38,280 Speaker 1: crisis of oh seven, oh eight and oh nine with 386 00:20:38,400 --> 00:20:40,800 Speaker 1: his service at the i m F. John, we have 387 00:20:40,920 --> 00:20:44,280 Speaker 1: so little time and too many questions with the uproar 388 00:20:44,400 --> 00:20:47,639 Speaker 1: now on data integrity. When you were at the i 389 00:20:47,880 --> 00:20:50,879 Speaker 1: m F, did you always and in each instant see 390 00:20:51,240 --> 00:20:56,920 Speaker 1: data integrity? Absolutely, it's completely important and central to the 391 00:20:57,040 --> 00:20:59,720 Speaker 1: I m F s being able to conduct it said, 392 00:21:00,000 --> 00:21:05,280 Speaker 1: it's work in an authoritative and uh comprehensive way. It's 393 00:21:05,480 --> 00:21:07,719 Speaker 1: absolutely critical. And you know the i m F over 394 00:21:07,800 --> 00:21:12,119 Speaker 1: the years has made great efforts in conjunction working together 395 00:21:12,200 --> 00:21:15,639 Speaker 1: with its member countries to improve the production of data, 396 00:21:16,280 --> 00:21:19,639 Speaker 1: to improve the quality, and that that goes on. I 397 00:21:19,680 --> 00:21:22,159 Speaker 1: think in the current context, the i m F is 398 00:21:22,200 --> 00:21:26,920 Speaker 1: going to redouble efforts to create confidence in their data. 399 00:21:27,840 --> 00:21:30,800 Speaker 1: John Letsky, my memory serves me you gave a landmark 400 00:21:30,840 --> 00:21:34,440 Speaker 1: speech in Hanoi a few years ago in Vietnam, and 401 00:21:34,720 --> 00:21:39,360 Speaker 1: within that you said, Southeast Asia matters. Is the crisis 402 00:21:39,440 --> 00:21:42,480 Speaker 1: at the I m F A time too? At the margin? 403 00:21:42,720 --> 00:21:47,760 Speaker 1: Give more governance to the Pacific rim. Well, first of all, 404 00:21:48,560 --> 00:21:51,080 Speaker 1: I think we need to take a look at the 405 00:21:51,160 --> 00:21:54,119 Speaker 1: idea that there's a crisis at the IMF. Certainly there's 406 00:21:54,200 --> 00:21:59,560 Speaker 1: been a kafuffle of some consult okay, fair of importance. Yesterday, 407 00:21:59,640 --> 00:22:03,160 Speaker 1: the Inner National Monitoring Financial Committee though that's the executive 408 00:22:03,160 --> 00:22:05,960 Speaker 1: committee of the Board of Governors of the Fund, reaffirmed 409 00:22:06,000 --> 00:22:09,760 Speaker 1: its confidence in the Managing Director and essentially said, let's 410 00:22:09,840 --> 00:22:13,520 Speaker 1: move forward from this from this problem. But for sure, 411 00:22:14,080 --> 00:22:17,480 Speaker 1: it'sn't going to be important that the IMF membership comes 412 00:22:17,520 --> 00:22:20,600 Speaker 1: to an agreement as it has said it would by 413 00:22:20,760 --> 00:22:25,919 Speaker 1: December three to undergo to have a new review of quotas, 414 00:22:25,960 --> 00:22:29,960 Speaker 1: and in that review, for sure the fastest growing economies 415 00:22:30,000 --> 00:22:33,040 Speaker 1: are going to be rewarded with a larger voting share 416 00:22:33,280 --> 00:22:36,919 Speaker 1: in the fund almost without question. One of the litmus 417 00:22:37,000 --> 00:22:40,439 Speaker 1: tests will be will China become the number two, at 418 00:22:40,520 --> 00:22:43,639 Speaker 1: least number two countries in the IMF in terms of 419 00:22:43,720 --> 00:22:46,280 Speaker 1: voting chair. How does that change John the tenor of 420 00:22:46,359 --> 00:22:48,080 Speaker 1: the i m F, the actions that the i m 421 00:22:48,160 --> 00:22:52,600 Speaker 1: F takes if China becomes the number two. Actually it's 422 00:22:52,680 --> 00:22:55,159 Speaker 1: more I think a matter of image and pride than 423 00:22:55,240 --> 00:22:58,119 Speaker 1: it is in terms of actual day to day working. 424 00:22:58,480 --> 00:23:00,720 Speaker 1: The members of the i m S ex Ecutive Board, 425 00:23:00,800 --> 00:23:04,600 Speaker 1: that's the decision making political level decision making body, and 426 00:23:04,680 --> 00:23:09,399 Speaker 1: the Fund understands who China is, who Japan is, etcetera, etcetera. So, 427 00:23:09,680 --> 00:23:15,200 Speaker 1: in actual consideration of policies, UH, their weights are realistic, 428 00:23:15,760 --> 00:23:19,800 Speaker 1: but in terms of voting shares and details and public image, 429 00:23:20,119 --> 00:23:24,760 Speaker 1: it's of importance in ensuring the credibility the institution. John, 430 00:23:24,840 --> 00:23:27,159 Speaker 1: yesterday we had Muhammadalarian on and he said that right 431 00:23:27,200 --> 00:23:30,600 Speaker 1: now he is very concerned about the diverging economic fates 432 00:23:30,640 --> 00:23:33,040 Speaker 1: of the developed and the developing worlds, and he basically 433 00:23:33,160 --> 00:23:35,960 Speaker 1: was saying that there are big potholes and vulnerabilities that 434 00:23:36,000 --> 00:23:38,360 Speaker 1: are getting developed that potentially could come to a head 435 00:23:38,600 --> 00:23:41,720 Speaker 1: in the near future. Do you agree. Oh? Absolutely, And 436 00:23:41,800 --> 00:23:44,240 Speaker 1: of course that was one of the principal themes of 437 00:23:44,359 --> 00:23:47,840 Speaker 1: the I m F World Economic Outlook, that the recovery 438 00:23:47,960 --> 00:23:51,199 Speaker 1: is showing divergence and looking forward that divergence is going 439 00:23:51,240 --> 00:23:54,720 Speaker 1: to get bigger and many of the developing countries are 440 00:23:54,800 --> 00:23:58,160 Speaker 1: struggling in many ways. That is going to continue into 441 00:23:58,240 --> 00:24:01,960 Speaker 1: the coming years and act and is needed. John always 442 00:24:02,040 --> 00:24:04,080 Speaker 1: great to catch up with. He sir a voice I've 443 00:24:04,080 --> 00:24:06,840 Speaker 1: always respected. John Lipsky there the former first deputy Managing 444 00:24:06,880 --> 00:24:10,920 Speaker 1: Director at the IMAM. This is the Bloomberg Surveillance Podcast. 445 00:24:11,200 --> 00:24:14,520 Speaker 1: Thanks for listening. Join us live weekdays from seven to 446 00:24:14,680 --> 00:24:18,680 Speaker 1: ten am Eastern on Bloomberg Radio and on Bloomberg Television 447 00:24:19,080 --> 00:24:23,080 Speaker 1: each day from six to nine am for insight from 448 00:24:23,119 --> 00:24:27,600 Speaker 1: the best in economics, finance, investment, and international relations. And 449 00:24:27,760 --> 00:24:32,880 Speaker 1: subscribe to the Surveillance podcast on Apple podcast, SoundCloud, Bloomberg 450 00:24:32,960 --> 00:24:36,639 Speaker 1: dot com, and of course on the terminal. I'm Tom Keene, 451 00:24:36,680 --> 00:24:38,679 Speaker 1: and this is Bloomberg