1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,760 Speaker 1: at Bloomberg dot com slash podcast. Now, let's get over 7 00:00:21,800 --> 00:00:26,119 Speaker 1: to the chief economist at KPMG. Constance Hunter joins us 8 00:00:26,160 --> 00:00:31,120 Speaker 1: with her take on the jobs report and the economy. Um. Constance, 9 00:00:31,160 --> 00:00:32,839 Speaker 1: thanks so much for joining us. Always great to get 10 00:00:32,880 --> 00:00:35,280 Speaker 1: your take. I wonder if, first off, what you think 11 00:00:35,400 --> 00:00:38,559 Speaker 1: what you thought of the numbers? One thousand better than 12 00:00:39,120 --> 00:00:42,000 Speaker 1: the street was looking for, better than the whisper number 13 00:00:42,080 --> 00:00:45,720 Speaker 1: as well, and we had wages up, although not faster 14 00:00:45,800 --> 00:00:49,000 Speaker 1: than inflation as the presidents at earlier four point nine percent, 15 00:00:49,080 --> 00:00:51,720 Speaker 1: which is better than a stick in the eyes. My 16 00:00:51,760 --> 00:00:57,080 Speaker 1: stockbroker always tells me, yeah, well, I agree with you. 17 00:00:57,400 --> 00:01:00,600 Speaker 1: It's uh. It's a strong report and and it shows 18 00:01:00,680 --> 00:01:03,320 Speaker 1: broad based job scheme. So when we look at things 19 00:01:03,360 --> 00:01:06,160 Speaker 1: like the diffusion index, right, we see it at a 20 00:01:06,160 --> 00:01:09,280 Speaker 1: at a at a high UH, and it shows that 21 00:01:09,319 --> 00:01:12,000 Speaker 1: employers are adding workers. We also saw some things which 22 00:01:12,080 --> 00:01:16,200 Speaker 1: might seem counterintuitive at first. For example, we saw hourly 23 00:01:17,120 --> 00:01:20,280 Speaker 1: weekly hours work to go down slightly, and this has 24 00:01:20,319 --> 00:01:23,800 Speaker 1: been at an all time high after the pandemic because 25 00:01:23,800 --> 00:01:28,039 Speaker 1: workers are Employers are having difficulty finding workers, so they're 26 00:01:28,080 --> 00:01:30,760 Speaker 1: taking the workers they do have and adding more hours 27 00:01:30,840 --> 00:01:32,840 Speaker 1: onto them. And those are not necessarily hours that all 28 00:01:32,880 --> 00:01:36,679 Speaker 1: those workers want. So when we take it in total, 29 00:01:36,840 --> 00:01:39,200 Speaker 1: it's a very good sign. We have momentum. We have 30 00:01:39,640 --> 00:01:43,160 Speaker 1: manufacturing jobs coming back, especially in autos. We've leaves are 31 00:01:43,200 --> 00:01:47,160 Speaker 1: in hospitality jobs coming back. So overall, a great report, 32 00:01:47,680 --> 00:01:51,279 Speaker 1: and it suggests we're the speed bump from the delta 33 00:01:51,280 --> 00:01:54,040 Speaker 1: brea that we saw in the third quarters is passed 34 00:01:54,120 --> 00:01:56,320 Speaker 1: up constant for the time being. Forgive me, because I'm 35 00:01:56,320 --> 00:01:58,360 Speaker 1: a little bit of the perma bear here at Bloomberg. 36 00:01:58,440 --> 00:02:01,880 Speaker 1: And this labor force participate patient rate, Yes it's stable, 37 00:02:02,280 --> 00:02:06,800 Speaker 1: but it's still not moving. So you know, how do 38 00:02:06,840 --> 00:02:10,200 Speaker 1: we get that number to start making some gains? And 39 00:02:10,280 --> 00:02:13,040 Speaker 1: I'll use a Muhammedalarians term here and say, you know 40 00:02:13,080 --> 00:02:17,920 Speaker 1: it was a disappointment. Yeah, Well, so what we saw 41 00:02:18,360 --> 00:02:20,480 Speaker 1: and what I looked at was the also the female 42 00:02:20,560 --> 00:02:24,000 Speaker 1: labor force participation, which went up two tenths of a 43 00:02:24,040 --> 00:02:27,680 Speaker 1: percentage point. But we have a considerable sticking point here, 44 00:02:27,840 --> 00:02:31,400 Speaker 1: and this is that we still have temper cent fewer 45 00:02:31,680 --> 00:02:36,200 Speaker 1: childcare workers than prior to the pandemic. UM and this 46 00:02:36,440 --> 00:02:40,000 Speaker 1: creates knock on effects, right because if you can't find childcare, 47 00:02:40,600 --> 00:02:44,160 Speaker 1: you're you yourself then may not be in the labor 48 00:02:44,160 --> 00:02:46,320 Speaker 1: force because you have to be home taking care of children. 49 00:02:46,480 --> 00:02:48,840 Speaker 1: Between six to eight percent of the labor force has 50 00:02:48,960 --> 00:02:52,760 Speaker 1: children under the age of six UM and so so 51 00:02:52,840 --> 00:02:55,359 Speaker 1: this creates knock on problems. And the question is when 52 00:02:55,400 --> 00:02:57,840 Speaker 1: do those childcare workers go back or do they go 53 00:02:57,919 --> 00:03:00,440 Speaker 1: back if they start to look for other jobs. Will 54 00:03:00,560 --> 00:03:02,760 Speaker 1: will they not fully go back until children under the 55 00:03:02,800 --> 00:03:05,000 Speaker 1: age of six are vaccinated? Will they not fully go 56 00:03:05,040 --> 00:03:10,359 Speaker 1: back until we have you know, really UM, widespread remediation 57 00:03:10,560 --> 00:03:12,800 Speaker 1: if you if you catch COVID for example, like this 58 00:03:12,919 --> 00:03:16,040 Speaker 1: fisor product that was announced this morning. UM. And I 59 00:03:16,080 --> 00:03:18,560 Speaker 1: think what we're seeing is that this pandemic in the 60 00:03:18,639 --> 00:03:21,720 Speaker 1: rear view mirror is something we keep expecting to happen 61 00:03:21,800 --> 00:03:25,480 Speaker 1: in the next month and the next quarter, and the 62 00:03:25,600 --> 00:03:28,720 Speaker 1: virus keeps coming back and it is it is where 63 00:03:28,760 --> 00:03:32,520 Speaker 1: we see these sort of persistent problems in labor force 64 00:03:32,560 --> 00:03:37,160 Speaker 1: participation and in the ability of the economy to completely recover. 65 00:03:37,200 --> 00:03:40,440 Speaker 1: I'm not just here, but but globally constance. Today is 66 00:03:40,440 --> 00:03:44,520 Speaker 1: my birthday. I know how thank you I'm getting older. 67 00:03:44,640 --> 00:03:47,800 Speaker 1: I'm getting old. I'm I'm four twelve year old. That's 68 00:03:47,800 --> 00:03:51,240 Speaker 1: also cooler. Thank you. It makes me think about the 69 00:03:51,240 --> 00:03:56,200 Speaker 1: older people as well. UM plus in labor participation is 70 00:03:56,240 --> 00:03:59,680 Speaker 1: not climbing back to the pre pandemic levels. I think 71 00:03:59,720 --> 00:04:01,600 Speaker 1: part of that is and I know a lot of 72 00:04:01,600 --> 00:04:04,560 Speaker 1: people who have been able to retire a little earlier 73 00:04:04,560 --> 00:04:07,000 Speaker 1: and they thought they would, um, they didn't feel like 74 00:04:07,360 --> 00:04:10,880 Speaker 1: dealing and therefore, oh one case did really well? Are 75 00:04:10,920 --> 00:04:13,360 Speaker 1: we is that part of what we're seeing a little 76 00:04:13,360 --> 00:04:17,440 Speaker 1: bit of a structural change. So there was a great 77 00:04:17,440 --> 00:04:20,400 Speaker 1: paper presentative Jackson Hole this year that addresses sort of 78 00:04:20,400 --> 00:04:23,880 Speaker 1: this issue of retirement and participation and what happens during 79 00:04:23,920 --> 00:04:28,080 Speaker 1: recessions and then what happens during recoveries and expansions, and 80 00:04:28,160 --> 00:04:32,479 Speaker 1: so the longer the expansion, the more likely it is 81 00:04:32,520 --> 00:04:35,880 Speaker 1: some of those people who are retired or did retire 82 00:04:35,960 --> 00:04:40,159 Speaker 1: temporarily come back to the labor force. UM and and 83 00:04:40,240 --> 00:04:43,080 Speaker 1: that depends on the on the length of the expansion 84 00:04:43,279 --> 00:04:47,160 Speaker 1: and the variety of UH opportunities available, as well as 85 00:04:47,200 --> 00:04:53,000 Speaker 1: people's personal circumstances. So we think that eventually that participation 86 00:04:53,120 --> 00:04:55,479 Speaker 1: rate does start to return. But you bring up a 87 00:04:55,480 --> 00:04:58,320 Speaker 1: good point. The probability of people over the age of 88 00:04:58,360 --> 00:05:02,520 Speaker 1: fifty five returning is lower than the possibility of prime 89 00:05:02,600 --> 00:05:06,440 Speaker 1: age workers who say they're retired returning, and and it 90 00:05:06,800 --> 00:05:10,960 Speaker 1: does bring us to this sort of long term UH 91 00:05:11,440 --> 00:05:14,400 Speaker 1: so called deficit of consumption, which is one of the 92 00:05:14,480 --> 00:05:18,240 Speaker 1: reasons why we've had the disinflation and deflation of the 93 00:05:18,320 --> 00:05:20,719 Speaker 1: last several decades, and one of the reasons that people 94 00:05:20,760 --> 00:05:23,760 Speaker 1: think the inflation is transitory. I'm going to use the 95 00:05:23,839 --> 00:05:31,120 Speaker 1: T word transitory is state dependent, not time dependent. So 96 00:05:32,160 --> 00:05:35,719 Speaker 1: the state that the transitory inflation is dependent upon is COVID. 97 00:05:36,120 --> 00:05:40,400 Speaker 1: The problem is that state COVID is lasting much longer 98 00:05:40,440 --> 00:05:44,080 Speaker 1: than people anticipated. So I also want to switch gears 99 00:05:44,120 --> 00:05:46,680 Speaker 1: here a little bit and talk about that's a great point, 100 00:05:46,680 --> 00:05:49,919 Speaker 1: though let's I mean, I just want to linger on 101 00:05:49,960 --> 00:05:52,000 Speaker 1: that for a second, because I haven't heard that, and 102 00:05:52,040 --> 00:05:56,040 Speaker 1: that makes a lot of sense. Being transitory is state 103 00:05:56,080 --> 00:05:58,960 Speaker 1: dependent and not time dependent. It reminds me a little 104 00:05:58,960 --> 00:06:02,760 Speaker 1: bit of you know, I was um having a discussion 105 00:06:02,800 --> 00:06:05,520 Speaker 1: with Anna Edwards this morning about our fossil fuel use 106 00:06:05,520 --> 00:06:09,560 Speaker 1: and she said, yes, the President wants OPEC to pump more, 107 00:06:09,600 --> 00:06:13,400 Speaker 1: but this is just for the short term, until you know, 108 00:06:13,480 --> 00:06:17,120 Speaker 1: to bridge this period until we can get UM into 109 00:06:17,240 --> 00:06:21,440 Speaker 1: more renewable use. And I think that's a pretty good comparison. Um, 110 00:06:21,480 --> 00:06:25,680 Speaker 1: it's the state that we're in rather than a specific 111 00:06:25,800 --> 00:06:29,120 Speaker 1: time chunk of time that we that we could guess, 112 00:06:29,320 --> 00:06:32,240 Speaker 1: that we could estimate. Yeah, I do want to switch 113 00:06:32,240 --> 00:06:34,840 Speaker 1: gears a little bit because this number has been particularly 114 00:06:34,880 --> 00:06:39,040 Speaker 1: concerning throughout this entire pandemic, and it's that unequal recovery, 115 00:06:39,400 --> 00:06:42,920 Speaker 1: the idea that Black unemployment is seven point nine percent 116 00:06:43,120 --> 00:06:45,760 Speaker 1: while the rest of the country is facing, you know, 117 00:06:45,800 --> 00:06:49,880 Speaker 1: an average four point six percent unemployment rate for Hispanics, 118 00:06:50,279 --> 00:06:53,800 Speaker 1: it's five point nine percent, still little or no change 119 00:06:54,120 --> 00:06:57,960 Speaker 1: over the month. So why is that? And what can 120 00:06:58,480 --> 00:07:02,640 Speaker 1: be done to start make these numbers more even? M M. 121 00:07:02,880 --> 00:07:05,599 Speaker 1: That's a really great question. And if you let me 122 00:07:05,640 --> 00:07:08,320 Speaker 1: take up the rest of your show, I'll be about 123 00:07:08,360 --> 00:07:11,320 Speaker 1: all the details, um, which is to say, this is 124 00:07:11,640 --> 00:07:14,400 Speaker 1: is this complex but not complex? Right? And what we 125 00:07:14,480 --> 00:07:20,120 Speaker 1: see across America is large firms like KPMG announcing initiatives 126 00:07:20,600 --> 00:07:26,040 Speaker 1: to make sure that our recruiting is more diverse, right 127 00:07:26,120 --> 00:07:29,440 Speaker 1: that that we are reaching out and having diverse slates 128 00:07:29,440 --> 00:07:32,800 Speaker 1: of candidates to choose from, and then really being aware 129 00:07:33,240 --> 00:07:36,760 Speaker 1: of biases that might cause us not to choose a 130 00:07:36,840 --> 00:07:41,480 Speaker 1: more diverse slate of candidates. And and while you can 131 00:07:41,480 --> 00:07:43,600 Speaker 1: skeptics and look at this and say, ah, well, you 132 00:07:43,680 --> 00:07:48,200 Speaker 1: know that's not enough. If every firm does this, on balance, 133 00:07:48,240 --> 00:07:53,160 Speaker 1: you're going to see gradual shifts. I would hope in 134 00:07:53,160 --> 00:07:56,760 Speaker 1: in the outcome, that's that's the goal anyway. Um, and 135 00:07:56,880 --> 00:08:00,000 Speaker 1: obviously you know we're we're hoping to make bold shifts. 136 00:08:00,040 --> 00:08:04,760 Speaker 1: But but I think realistically, if you look economy wide, um, 137 00:08:04,800 --> 00:08:07,440 Speaker 1: there isn't awareness that this is a problem. When we 138 00:08:07,520 --> 00:08:10,240 Speaker 1: don't have people, an entire group of people in our 139 00:08:10,240 --> 00:08:13,560 Speaker 1: economy fully employed, we are missing out on a lot 140 00:08:13,600 --> 00:08:17,160 Speaker 1: of GDP, we are missing out on a lot of growth. 141 00:08:17,440 --> 00:08:19,200 Speaker 1: I think you know, and and and it's great for 142 00:08:19,280 --> 00:08:22,080 Speaker 1: KPMG as well, because I'm glad to bring this up 143 00:08:22,080 --> 00:08:25,160 Speaker 1: to I don't know if you know Mindy Grossman, she's 144 00:08:25,160 --> 00:08:27,000 Speaker 1: a good friend of mine if you don't got to 145 00:08:27,000 --> 00:08:30,520 Speaker 1: take you both out for drinks. Um. She tells a 146 00:08:30,640 --> 00:08:32,960 Speaker 1: story she started out at Ralph Lauren and then she 147 00:08:33,000 --> 00:08:35,640 Speaker 1: went to Nike and did some other stuff. Now I 148 00:08:35,640 --> 00:08:38,880 Speaker 1: think she runs weight watchers. She tells a story about 149 00:08:38,920 --> 00:08:42,600 Speaker 1: being the only woman in the Nike boardroom with like 150 00:08:42,640 --> 00:08:46,679 Speaker 1: twenty other guys, and they were asking the question, how 151 00:08:46,720 --> 00:08:50,319 Speaker 1: can we sell more shoes to women? And the entire 152 00:08:50,400 --> 00:08:53,120 Speaker 1: room looked at her, you know, and of course she said, 153 00:08:53,240 --> 00:08:55,960 Speaker 1: maybe if you got a couple more of me, we 154 00:08:56,000 --> 00:08:59,800 Speaker 1: could do that. Right, Because um, diversity, it's not just 155 00:09:00,160 --> 00:09:02,400 Speaker 1: for the sake of diversity. It's not just to be 156 00:09:03,440 --> 00:09:08,680 Speaker 1: a responsible civic um citizen. It's just you can also 157 00:09:08,720 --> 00:09:10,640 Speaker 1: look at it as as a profit driver, as a 158 00:09:10,720 --> 00:09:13,960 Speaker 1: revenue growth driver. It will help to build GDP, right 159 00:09:13,960 --> 00:09:16,079 Speaker 1: because you can reach more people that way and get 160 00:09:16,120 --> 00:09:18,840 Speaker 1: your product out there well. And if you have more 161 00:09:18,880 --> 00:09:24,240 Speaker 1: people participating in the economy and fully participating in terms 162 00:09:24,280 --> 00:09:27,160 Speaker 1: of their full potential in terms of education, you're going 163 00:09:27,200 --> 00:09:30,559 Speaker 1: to have greater innovation, You're going to have greater wealth creation, 164 00:09:30,600 --> 00:09:33,800 Speaker 1: you're gonna have greater productivity. I mean, it is absolutely 165 00:09:33,880 --> 00:09:39,920 Speaker 1: ridiculous that we would systemically hold back people in our population. 166 00:09:40,440 --> 00:09:44,080 Speaker 1: It just it makes no economic sense and it makes 167 00:09:44,080 --> 00:09:48,520 Speaker 1: no moral sense. Quite frankly, Constants. Always great to get 168 00:09:48,520 --> 00:09:51,160 Speaker 1: your take, and I really appreciate you joining us today. 169 00:09:51,240 --> 00:09:54,120 Speaker 1: Constance Hunter there is the chief economist at KPMG. I'm 170 00:09:54,160 --> 00:09:56,480 Speaker 1: gonna I'm gonna hook you up with Mindy Grossman. Maybe 171 00:09:56,480 --> 00:09:59,880 Speaker 1: I'll take shetionale. Why don't get drink, No, I will. 172 00:10:00,679 --> 00:10:03,480 Speaker 1: I'll bring you guys all to the club or whatever, 173 00:10:03,640 --> 00:10:06,160 Speaker 1: and then I'll and then i'll just uh set you 174 00:10:06,200 --> 00:10:09,360 Speaker 1: free and I'll go do whatever. Um, thanks so much. 175 00:10:09,440 --> 00:10:11,480 Speaker 1: Always great to get your take. Constant Hunter is the 176 00:10:11,520 --> 00:10:15,080 Speaker 1: chief economist at KPMG talking to us about the job's number, 177 00:10:15,080 --> 00:10:20,480 Speaker 1: adding five one thousand. UM. We had average hourly earnings 178 00:10:20,520 --> 00:10:25,120 Speaker 1: growing four point nine percent year over year. Labor participation though, 179 00:10:25,480 --> 00:10:28,079 Speaker 1: is the problem here. It's the sticking point. Sixty one 180 00:10:28,120 --> 00:10:31,400 Speaker 1: point six percent was the actual number we wanted to see, 181 00:10:31,440 --> 00:10:35,840 Speaker 1: sixty one point seven percent. So no growth there. We're 182 00:10:35,840 --> 00:10:42,760 Speaker 1: working on it. This is Bloomberg. Now, as he said, 183 00:10:42,800 --> 00:10:45,920 Speaker 1: we're gonna get over to Peter Anderson right now from 184 00:10:46,000 --> 00:10:49,959 Speaker 1: Anderson Capital Management. UM. He is going to give us 185 00:10:49,960 --> 00:10:53,520 Speaker 1: his outlook on markets. And first off, Pete, I want 186 00:10:53,520 --> 00:10:57,440 Speaker 1: to get your take on the job's number looking pretty healthy, 187 00:10:57,559 --> 00:11:02,000 Speaker 1: especially the wage growth number for nine not quite the 188 00:11:02,120 --> 00:11:07,400 Speaker 1: level of inflation, but it's almost there. Well, good morning everybody, 189 00:11:07,440 --> 00:11:11,760 Speaker 1: And yeah, that number was, in a word, fantastic. And um, 190 00:11:12,160 --> 00:11:15,400 Speaker 1: I don't place too much emphasis on the monthly job 191 00:11:15,480 --> 00:11:18,640 Speaker 1: numbers because I do think and recovery things are very messy, 192 00:11:19,240 --> 00:11:22,599 Speaker 1: and you know, we don't hang our hats on successive 193 00:11:22,679 --> 00:11:26,520 Speaker 1: data like that. But when you do get a fairly 194 00:11:27,040 --> 00:11:32,040 Speaker 1: vague but improving picture of the economy in the labor market, 195 00:11:32,080 --> 00:11:34,240 Speaker 1: I think it's all very positive. Let me let me 196 00:11:34,280 --> 00:11:37,560 Speaker 1: ask you this. I get that you don't uh, you know, 197 00:11:37,679 --> 00:11:40,480 Speaker 1: one data point a trend does not make or whatever. 198 00:11:40,520 --> 00:11:44,720 Speaker 1: But we did get some pretty amazing news from Fiser. 199 00:11:45,000 --> 00:11:49,760 Speaker 1: If their treatment can reduce hospitalizations and death by eight 200 00:11:50,080 --> 00:11:55,160 Speaker 1: nine in high risk cases, is that not a game changer? 201 00:11:56,400 --> 00:11:59,640 Speaker 1: I personally do think that I totally agree with you. 202 00:11:59,720 --> 00:12:03,360 Speaker 1: I mean, this is a major announcement I would say, 203 00:12:03,720 --> 00:12:07,439 Speaker 1: equal to or maybe even greater than the vaccines themselves. 204 00:12:07,480 --> 00:12:09,760 Speaker 1: And the reason I say that is, you know, there's 205 00:12:09,760 --> 00:12:17,600 Speaker 1: still uh contentions out there about anti vaxer's um mandatory vaccinations, 206 00:12:17,640 --> 00:12:20,040 Speaker 1: that kind of thing. We're all going through that this country. 207 00:12:20,320 --> 00:12:23,160 Speaker 1: But if you have a treatment for this, that kind 208 00:12:23,200 --> 00:12:28,240 Speaker 1: of obviates that entire tension between different opinions about, you know, 209 00:12:28,280 --> 00:12:30,520 Speaker 1: whether or not to be vaccinated, etcetera. So I do 210 00:12:30,640 --> 00:12:35,000 Speaker 1: think it is probably the most major turning point in 211 00:12:35,080 --> 00:12:38,280 Speaker 1: this whole messy situation we've been in for the past 212 00:12:38,320 --> 00:12:40,120 Speaker 1: year and a half. You know, there are some COVID 213 00:12:40,920 --> 00:12:43,400 Speaker 1: you know, stock market darlings, if you will, like Peloton, 214 00:12:43,559 --> 00:12:47,040 Speaker 1: when people were you know, staying at home and working out, 215 00:12:47,120 --> 00:12:49,320 Speaker 1: and now the stock today is down, by the way, 216 00:12:49,320 --> 00:12:51,480 Speaker 1: Paul Sweeney used to be on that thing every single 217 00:12:51,559 --> 00:12:54,960 Speaker 1: day during lockdown and since that, since the last couple 218 00:12:54,960 --> 00:12:56,840 Speaker 1: of months, has just been hanging his coat on it. Yes, 219 00:12:56,960 --> 00:12:59,000 Speaker 1: I'm filling in. I've got to fill in for Paul Sweeney, 220 00:12:59,080 --> 00:13:02,040 Speaker 1: and let's talk about this Peloton issue, because you know, 221 00:13:02,160 --> 00:13:04,640 Speaker 1: it's the thing that we're seeing here with Peloton. Are 222 00:13:04,679 --> 00:13:08,000 Speaker 1: there other companies exposed to this kind of issue where 223 00:13:08,040 --> 00:13:12,200 Speaker 1: people used it during the COVID times and now they're 224 00:13:12,200 --> 00:13:16,880 Speaker 1: walking away. Well, you know, I've always said market timing 225 00:13:17,080 --> 00:13:21,359 Speaker 1: based on COVID news. Really it's like standing on a trapdoor. 226 00:13:21,520 --> 00:13:24,640 Speaker 1: I mean, we just didn't know this development. I mean, 227 00:13:24,760 --> 00:13:29,120 Speaker 1: as evidence even by today Viser's News. So I think 228 00:13:29,120 --> 00:13:32,600 Speaker 1: it really is a foolish thing to try to time 229 00:13:32,640 --> 00:13:36,480 Speaker 1: investments based solely on the way you think they will 230 00:13:36,520 --> 00:13:40,600 Speaker 1: be UM attractive during a COVID lockdown. I think we're 231 00:13:40,600 --> 00:13:45,400 Speaker 1: seeing that the first damaged stock, frankly for that thesis 232 00:13:45,920 --> 00:13:49,040 Speaker 1: is Peloton. We're seeing that playing out right in front 233 00:13:49,040 --> 00:13:52,480 Speaker 1: of us. It's so fascinating. What do you think about 234 00:13:52,520 --> 00:13:57,560 Speaker 1: the economy UH more generally overseay the next year. I mean, 235 00:13:57,559 --> 00:14:00,560 Speaker 1: the cops are going to get harder as we get 236 00:14:00,600 --> 00:14:04,400 Speaker 1: into um Q four, Q one, Q two. On the 237 00:14:04,440 --> 00:14:06,840 Speaker 1: other hand, so you've got to think the supply chain 238 00:14:06,920 --> 00:14:09,560 Speaker 1: is going to ease a little bit and the labor 239 00:14:09,600 --> 00:14:14,040 Speaker 1: crunch has to soften somewhat. Yeah, that's right, Matt. And 240 00:14:14,080 --> 00:14:16,160 Speaker 1: you know a lot of people think I'm maybe a 241 00:14:16,200 --> 00:14:18,960 Speaker 1: mindless optimist on this, but believe me, I spend a 242 00:14:19,000 --> 00:14:22,480 Speaker 1: lot of time thinking and analyzing UH to formulate a 243 00:14:22,600 --> 00:14:26,280 Speaker 1: hypothesis in our opinion, and I remained bullish. I mean 244 00:14:26,320 --> 00:14:30,440 Speaker 1: I was bullish throughout this entire period a year and 245 00:14:30,440 --> 00:14:34,160 Speaker 1: a half, and I continue to stay optimistic, and I 246 00:14:34,200 --> 00:14:36,400 Speaker 1: do think maybe next year, you know, we will be 247 00:14:36,440 --> 00:14:39,680 Speaker 1: wringing our hands a bit saying, maybe we've overshot our 248 00:14:39,880 --> 00:14:43,840 Speaker 1: estimates for earnings. But what a fantastic position to be in. 249 00:14:44,160 --> 00:14:47,080 Speaker 1: If that's the case, then we would be truly I mean, 250 00:14:47,120 --> 00:14:49,920 Speaker 1: I'm looking forward to worrying about that, because then we 251 00:14:49,920 --> 00:14:52,600 Speaker 1: would be truly in the rear view mirror all this 252 00:14:52,680 --> 00:14:58,160 Speaker 1: stuff about COVID vaccinations, COVID treatments, UH, supply chain issues, 253 00:14:58,640 --> 00:15:01,360 Speaker 1: interest rates, all these things that we've been worrying about 254 00:15:01,640 --> 00:15:03,600 Speaker 1: and frankly worrying about in the dark. I mean, this 255 00:15:03,680 --> 00:15:06,120 Speaker 1: is a totally new period we've been through, right, We've 256 00:15:06,160 --> 00:15:08,600 Speaker 1: never had a history like this, and so that's why 257 00:15:08,640 --> 00:15:11,600 Speaker 1: I urge investors to take it a little bit in stride. 258 00:15:11,640 --> 00:15:15,400 Speaker 1: You know, don't hang your um your opinions on the 259 00:15:15,440 --> 00:15:17,480 Speaker 1: news of the day. You really do have to step 260 00:15:17,520 --> 00:15:22,160 Speaker 1: back and try to appreciate the mosaic that's slowly evolving 261 00:15:22,640 --> 00:15:24,840 Speaker 1: as we get out of this mess. So as we 262 00:15:24,920 --> 00:15:26,920 Speaker 1: get out of this mess, we're again we're still at 263 00:15:26,920 --> 00:15:29,200 Speaker 1: record highs in the stock market. We've been up every 264 00:15:29,280 --> 00:15:32,920 Speaker 1: day this week. Not too messy if you're fully invested, right, yeah, 265 00:15:33,000 --> 00:15:37,360 Speaker 1: so what do you buy now with valuations this high? Well, 266 00:15:37,400 --> 00:15:39,720 Speaker 1: you know, and you earlier asked, let's just finish this 267 00:15:39,800 --> 00:15:42,320 Speaker 1: other point about you know, are there other companies that 268 00:15:42,400 --> 00:15:45,760 Speaker 1: might be in peril? I'll Peloton, and I do think 269 00:15:45,800 --> 00:15:49,040 Speaker 1: there are. There are companies that anything that investors have 270 00:15:49,160 --> 00:15:52,040 Speaker 1: invested in based on this is a hot topic for 271 00:15:52,280 --> 00:15:55,600 Speaker 1: lockdowns I would stay away from. So I've never invested 272 00:15:55,840 --> 00:15:59,920 Speaker 1: during that period market timing based on certain industries instead. 273 00:16:00,960 --> 00:16:05,040 Speaker 1: For instance, Peloton I never thought was attractive even before 274 00:16:05,640 --> 00:16:10,600 Speaker 1: the COVID came, and I didn't think always attractive during, 275 00:16:11,000 --> 00:16:14,120 Speaker 1: nor do I think it is attractive after. But certain 276 00:16:14,160 --> 00:16:19,360 Speaker 1: other industries, uh, escape that and are more attractive. Let 277 00:16:19,400 --> 00:16:22,800 Speaker 1: me throw out some data security for instance. That's not 278 00:16:22,840 --> 00:16:26,800 Speaker 1: going to be a COVID timing matter, data storage, cell 279 00:16:26,840 --> 00:16:31,960 Speaker 1: phone towers, uh, anything that is less dependent on what 280 00:16:32,080 --> 00:16:36,720 Speaker 1: I would call UM supply chain in more on intensity 281 00:16:37,000 --> 00:16:40,760 Speaker 1: of say, software development is a pretty good place to 282 00:16:40,800 --> 00:16:43,520 Speaker 1: be right now, and it probably will be the best 283 00:16:43,520 --> 00:16:45,680 Speaker 1: place to be even as we come out of this 284 00:16:45,840 --> 00:16:49,440 Speaker 1: COVID mess. All right, That makes that makes sense. Um 285 00:16:49,520 --> 00:16:52,040 Speaker 1: data security is something that we're gonna need, and healthcare 286 00:16:52,120 --> 00:16:55,360 Speaker 1: is something I hear a lot about pete you know, 287 00:16:55,520 --> 00:17:00,760 Speaker 1: from the tech side, from the UH read side, um 288 00:17:00,840 --> 00:17:04,600 Speaker 1: um just a pure play investment in that. It seems 289 00:17:04,680 --> 00:17:06,840 Speaker 1: like healthcare just still has a long way to go. 290 00:17:07,880 --> 00:17:11,280 Speaker 1: It does as it always will, and I think COVID 291 00:17:11,320 --> 00:17:15,800 Speaker 1: has placed a you know, macro emphasis on that industry. 292 00:17:15,800 --> 00:17:18,920 Speaker 1: I will tell you another industry that I've been very 293 00:17:18,960 --> 00:17:22,720 Speaker 1: successful investing is pet care. Pet care business, whether or 294 00:17:22,800 --> 00:17:27,240 Speaker 1: not it be medications for pet care such as Zoetis 295 00:17:27,880 --> 00:17:33,280 Speaker 1: or the health insurance for pets called Trupanion UH, the 296 00:17:33,359 --> 00:17:39,000 Speaker 1: health care of animals is probably even more has more 297 00:17:39,000 --> 00:17:42,720 Speaker 1: potential for increase, and I think frankly, it's simpler to analyze. 298 00:17:42,960 --> 00:17:44,960 Speaker 1: You know, when you get into health care for humans, 299 00:17:45,440 --> 00:17:48,880 Speaker 1: there is a whole specialization of that and you really 300 00:17:48,920 --> 00:17:51,480 Speaker 1: do almost have to have a PhD in biochemistry to 301 00:17:51,560 --> 00:17:54,439 Speaker 1: understand that. But when you look at pet care, you know, 302 00:17:54,520 --> 00:17:58,080 Speaker 1: the humanization of pets is a trend that maybe was 303 00:17:58,200 --> 00:18:01,960 Speaker 1: highlighted even more during r in COVID, but it's still here. 304 00:18:02,040 --> 00:18:04,880 Speaker 1: It's here to stay. And as I said, when we 305 00:18:04,920 --> 00:18:07,199 Speaker 1: look in the rear view mirror, that will be another 306 00:18:07,240 --> 00:18:10,160 Speaker 1: industry that will be very, very attractive for sure. I mean, 307 00:18:10,800 --> 00:18:14,800 Speaker 1: you know, I remember when I was reticent to get 308 00:18:14,800 --> 00:18:18,360 Speaker 1: an m R I because of the costs, and yesterday 309 00:18:18,400 --> 00:18:23,920 Speaker 1: I just m R I. My dog. He's okay, he's okay. 310 00:18:24,040 --> 00:18:25,840 Speaker 1: I just want to make you make the point I 311 00:18:25,880 --> 00:18:28,679 Speaker 1: wasn't as worried about me as I was worried about Steve, 312 00:18:28,800 --> 00:18:31,560 Speaker 1: and Steve is gonna be okay. Pete, thanks so much 313 00:18:31,560 --> 00:18:33,720 Speaker 1: for joining us. Great. Always great to get your intake. 314 00:18:33,760 --> 00:18:37,120 Speaker 1: Really appreciate you joining us on this program. Peter Anderson 315 00:18:37,160 --> 00:18:42,760 Speaker 1: is the founder of Anderson Capital Management. Now, one of 316 00:18:42,800 --> 00:18:46,480 Speaker 1: the things that we have made almost a central part 317 00:18:46,520 --> 00:18:49,760 Speaker 1: now of our data checks and business flashes, et cetera 318 00:18:50,119 --> 00:18:54,159 Speaker 1: is um Crypto prices Bitcoin right now down three quarters 319 00:18:54,200 --> 00:18:58,840 Speaker 1: of one percent to sixty thousand, nine hundred and eleven 320 00:18:58,880 --> 00:19:03,359 Speaker 1: dollars apiece Ethereum down just over one percent right now 321 00:19:03,400 --> 00:19:06,720 Speaker 1: to four thousand, four hundred and sixties seven dollars. I 322 00:19:06,720 --> 00:19:08,960 Speaker 1: want to talk about cryptos with Scott Freeman. He is 323 00:19:09,000 --> 00:19:11,880 Speaker 1: the co founder and partner at j ST Capital. Talk 324 00:19:11,920 --> 00:19:14,480 Speaker 1: to me first about what JST does. Scott, where do 325 00:19:14,560 --> 00:19:17,359 Speaker 1: you guys do a JST Capital? Hey, Matt, good to 326 00:19:17,359 --> 00:19:19,639 Speaker 1: speak to you. Yeah, we are an institutional player in 327 00:19:19,680 --> 00:19:26,359 Speaker 1: the crypto space. We do everything digital and service institutional investors, clients, exchanges, protocols. 328 00:19:26,400 --> 00:19:29,320 Speaker 1: We've been in the business for well over four years, 329 00:19:29,359 --> 00:19:32,119 Speaker 1: so that's a that's an eternity in UH in the 330 00:19:32,160 --> 00:19:35,639 Speaker 1: crypto world. What do you think about the institutional adoption? 331 00:19:35,680 --> 00:19:38,639 Speaker 1: What do you think about people making crypto part of 332 00:19:38,680 --> 00:19:41,760 Speaker 1: their portfolios? How long until we get to a point 333 00:19:41,760 --> 00:19:46,040 Speaker 1: where this becomes, uh, you know, as normal as holding 334 00:19:46,440 --> 00:19:50,280 Speaker 1: I don't know any other commodity. Well, yeah, I think honestly, 335 00:19:50,320 --> 00:19:52,600 Speaker 1: we're well on our way there already. We're from the 336 00:19:52,640 --> 00:19:54,800 Speaker 1: retail side. It's very easy for people to get access 337 00:19:54,840 --> 00:19:57,159 Speaker 1: to it these days, especially with the recent launch of 338 00:19:57,160 --> 00:19:58,960 Speaker 1: the ETS and with the growth of the U S 339 00:19:59,000 --> 00:20:02,480 Speaker 1: futures market. I think it's just it just continues to 340 00:20:02,560 --> 00:20:04,840 Speaker 1: grow day by day, week by week, year by year. 341 00:20:05,240 --> 00:20:07,880 Speaker 1: The e t F I think very interesting, but it's 342 00:20:07,960 --> 00:20:11,840 Speaker 1: not as uh, it's not as powerful as having a 343 00:20:11,920 --> 00:20:15,120 Speaker 1: product that's backed by the underlying that buys actual bitcoin. 344 00:20:15,200 --> 00:20:17,600 Speaker 1: For example, we just get the futures and there's royal 345 00:20:17,720 --> 00:20:20,680 Speaker 1: risk and another number of other things related to that. 346 00:20:20,680 --> 00:20:23,720 Speaker 1: When when do we get a real product that um, 347 00:20:23,760 --> 00:20:26,040 Speaker 1: you know, mom and pop investors can really sink their 348 00:20:26,040 --> 00:20:29,560 Speaker 1: teeth into you know, Listen, that's a good point. I think, Yes, 349 00:20:29,720 --> 00:20:31,560 Speaker 1: the future's et F is not as efficient as the 350 00:20:31,640 --> 00:20:34,879 Speaker 1: cash based ETF, and we would expect maybe first second 351 00:20:34,920 --> 00:20:36,960 Speaker 1: quarter next year, it's likely the s see we get 352 00:20:36,960 --> 00:20:41,119 Speaker 1: more comfort with this is just an evolutionary process. The 353 00:20:41,160 --> 00:20:43,800 Speaker 1: fact that the futures et F with gone tho smoothly. 354 00:20:43,880 --> 00:20:46,760 Speaker 1: The world hasn't ended, um, And I think that's a 355 00:20:46,760 --> 00:20:49,440 Speaker 1: good sign. More broadly, and we would expect to see 356 00:20:49,800 --> 00:20:52,320 Speaker 1: more e t s next year. We'll expect to see 357 00:20:52,359 --> 00:20:56,200 Speaker 1: a cash based goodcoin. We expect to see e t 358 00:20:56,400 --> 00:20:59,360 Speaker 1: s as well next year. So one of the big problems, UM, 359 00:20:59,400 --> 00:21:04,880 Speaker 1: with this in investment is the volatility. You know, yesterday, Um, 360 00:21:04,920 --> 00:21:07,439 Speaker 1: the new mayor of New York, Eric Adams, asked to 361 00:21:07,520 --> 00:21:10,920 Speaker 1: get his first few paychecks in bitcoin, and people immediately 362 00:21:10,960 --> 00:21:14,640 Speaker 1: talked about the risk associated with that. It has come 363 00:21:14,720 --> 00:21:18,720 Speaker 1: down though, Um, but is this kind of volatility, I mean, 364 00:21:18,880 --> 00:21:23,000 Speaker 1: is it here for for years for decades? When does 365 00:21:23,040 --> 00:21:25,280 Speaker 1: when does it? When does it get to a point 366 00:21:25,320 --> 00:21:29,520 Speaker 1: where your average investor can stomach it? Yeah, listen, I 367 00:21:29,520 --> 00:21:32,280 Speaker 1: think volatility at some levels all relative right, the bitcoin 368 00:21:32,440 --> 00:21:35,920 Speaker 1: is a very bottle. Asset volatilities have come down over 369 00:21:36,000 --> 00:21:38,440 Speaker 1: the past few months. But what we've seen in the 370 00:21:38,520 --> 00:21:40,679 Speaker 1: past and what we do expect, there will be periods 371 00:21:40,680 --> 00:21:44,000 Speaker 1: of extreme volatility in bitcoin and in crypto, and I 372 00:21:44,080 --> 00:21:46,600 Speaker 1: think people should expect that. I think you don't go 373 00:21:46,720 --> 00:21:50,960 Speaker 1: into these assets hoping for lower volatility. Of course not, 374 00:21:51,119 --> 00:21:55,239 Speaker 1: but it's at this point it's too volatile for um 375 00:21:56,359 --> 00:22:01,159 Speaker 1: for a risk averse investor to to get an involved um, 376 00:22:01,480 --> 00:22:05,800 Speaker 1: you know, other than just throwing a small piece at 377 00:22:05,840 --> 00:22:08,800 Speaker 1: it as a punt. You know, it's more of a 378 00:22:08,960 --> 00:22:12,240 Speaker 1: gamble than an investment. And that's not the case for 379 00:22:12,760 --> 00:22:17,600 Speaker 1: a lot of other asset classes, and it's a big problem. Yeah, 380 00:22:17,680 --> 00:22:20,320 Speaker 1: I guess we would we would postulate a little bit 381 00:22:20,400 --> 00:22:22,919 Speaker 1: differently on that. We would say, listen, if you're going 382 00:22:23,000 --> 00:22:25,680 Speaker 1: to go into it, expect there will be volatility. You 383 00:22:25,760 --> 00:22:28,800 Speaker 1: could be up or down on any day to day, 384 00:22:28,800 --> 00:22:31,600 Speaker 1: a week to week. But for a long term investment, 385 00:22:31,720 --> 00:22:34,520 Speaker 1: for you know, a small piece of your your portfolio, 386 00:22:35,000 --> 00:22:37,200 Speaker 1: or even for you know, parents and grandparents who want 387 00:22:37,200 --> 00:22:39,879 Speaker 1: to set up their their children for college, things like that, 388 00:22:40,440 --> 00:22:41,840 Speaker 1: we don't think it's a bad idea to put a 389 00:22:41,920 --> 00:22:45,000 Speaker 1: small portion of investment, and as a long term investment, 390 00:22:45,080 --> 00:22:48,280 Speaker 1: we wouldn't encourage you to speculate around this. We think 391 00:22:48,480 --> 00:22:52,320 Speaker 1: long term bitcoin of cryptos more broadly are a good 392 00:22:52,520 --> 00:22:55,280 Speaker 1: a good place to have a small percentage of your portfolio. 393 00:22:55,320 --> 00:22:57,800 Speaker 1: All right, if you step back and look really long term, 394 00:22:57,920 --> 00:23:04,000 Speaker 1: then Scott um, don't governments have an interest in crushing 395 00:23:04,160 --> 00:23:07,600 Speaker 1: these cryptos, you know, and especially as they come out 396 00:23:07,640 --> 00:23:12,440 Speaker 1: with their own digital assets. Yeah, I think there will 397 00:23:12,520 --> 00:23:15,680 Speaker 1: be regulatory or more clarity, a lot of regulatory side 398 00:23:15,720 --> 00:23:18,320 Speaker 1: going forward. I think there's already been some progress in 399 00:23:18,400 --> 00:23:21,360 Speaker 1: the US, especially around the stable coins UM. I think 400 00:23:21,440 --> 00:23:23,320 Speaker 1: that will continue with evolve. I think for those of 401 00:23:23,400 --> 00:23:27,960 Speaker 1: us in the industry were big proponents of greater regulatory clarity. 402 00:23:28,520 --> 00:23:32,080 Speaker 1: We think lack of regulatory clarity has been UM has 403 00:23:32,119 --> 00:23:34,240 Speaker 1: been an issue. We think going forward that will help. 404 00:23:34,640 --> 00:23:37,359 Speaker 1: We obviously we hope that they're they're disciplined about how 405 00:23:37,440 --> 00:23:40,879 Speaker 1: they impose regulation. We hope it's still allows people to 406 00:23:41,000 --> 00:23:44,440 Speaker 1: maintain some of the exciting and new things that we 407 00:23:44,560 --> 00:23:46,960 Speaker 1: think or bring a lot of innovation to the space. 408 00:23:47,680 --> 00:23:50,800 Speaker 1: Beyond stable coins, do you think there will be any 409 00:23:50,880 --> 00:23:55,680 Speaker 1: cryptos that we can use on a daily basis like cash. 410 00:23:56,280 --> 00:23:59,280 Speaker 1: You know, I spent a couple of weeks back in 411 00:23:59,359 --> 00:24:02,480 Speaker 1: two thousands a team living on bitcoin and not using dollars, 412 00:24:02,640 --> 00:24:06,160 Speaker 1: which was fun, But you can't really live that way 413 00:24:06,240 --> 00:24:09,640 Speaker 1: on a regular basis, especially now as transaction times get 414 00:24:10,080 --> 00:24:14,120 Speaker 1: so long and um, it's expensive to transact with bitcoin. 415 00:24:14,480 --> 00:24:16,399 Speaker 1: Is there anything that you think people are going to 416 00:24:16,480 --> 00:24:21,000 Speaker 1: be using to transact? You know, I think the more 417 00:24:21,160 --> 00:24:23,840 Speaker 1: likely scenario that people will be doing things on the 418 00:24:23,880 --> 00:24:26,879 Speaker 1: blockchain without even knowing it. Like people are already building 419 00:24:26,920 --> 00:24:29,680 Speaker 1: apps today, whether their web browsers or apps on your phone, 420 00:24:30,040 --> 00:24:33,400 Speaker 1: that allow you to earn incremental revenue for just day 421 00:24:33,400 --> 00:24:36,040 Speaker 1: to day activity and people don't necessarily need to know 422 00:24:36,240 --> 00:24:38,720 Speaker 1: that bitcoin or crypto is behind it. But I think 423 00:24:38,720 --> 00:24:41,200 Speaker 1: they'll be able to extract value from day to day 424 00:24:41,200 --> 00:24:43,640 Speaker 1: activities where they can't do that today. And I think 425 00:24:43,680 --> 00:24:46,159 Speaker 1: that's when you start really saying the power of a 426 00:24:46,200 --> 00:24:51,200 Speaker 1: blockchain and crypto a big future and defy absolutely. Yeah, 427 00:24:51,240 --> 00:24:54,320 Speaker 1: We're we're big believers in space. We're allocating more and 428 00:24:54,359 --> 00:24:56,840 Speaker 1: more people on capital to the space, and we think 429 00:24:56,880 --> 00:24:58,520 Speaker 1: we're not even in the first inning. It an ether, 430 00:24:59,240 --> 00:25:01,520 Speaker 1: all right, Scott, to get your thoughts thanks so much 431 00:25:01,560 --> 00:25:04,240 Speaker 1: for joining us. Scott Freeman there co founder and partner 432 00:25:04,280 --> 00:25:09,320 Speaker 1: at j ST Capital and institutional player in the crypto space. 433 00:25:09,720 --> 00:25:13,280 Speaker 1: And you know we're covering this more and more. Obviously 434 00:25:13,600 --> 00:25:16,239 Speaker 1: I have been interested in it for a decade, but UM, 435 00:25:16,800 --> 00:25:20,320 Speaker 1: I think everyone is starting to look at quotes on bitcoin, 436 00:25:20,440 --> 00:25:22,600 Speaker 1: quotes on ethereum. You can get it on the terminal 437 00:25:22,680 --> 00:25:25,880 Speaker 1: see our yp go is where you can see our 438 00:25:25,960 --> 00:25:31,240 Speaker 1: screen of crypto or cryptocurrency monitor and you know, more 439 00:25:31,320 --> 00:25:33,440 Speaker 1: and more UM you're getting e t F s. It 440 00:25:33,520 --> 00:25:35,879 Speaker 1: started in Canada. Now we have the future z E 441 00:25:36,000 --> 00:25:39,760 Speaker 1: t F here in the US. And as regulation increases, 442 00:25:39,840 --> 00:25:42,000 Speaker 1: the question is are we're gonna see UM more of 443 00:25:42,080 --> 00:25:46,720 Speaker 1: these products that UM retail investors can get into that 444 00:25:46,840 --> 00:25:51,800 Speaker 1: institutional investors are going to adopt and accept. And it 445 00:25:52,000 --> 00:25:55,440 Speaker 1: seems like the answer is yes, at least thus far, 446 00:25:55,880 --> 00:25:59,480 Speaker 1: and will continue to cover it for you. This is Bloomberg. 447 00:26:03,640 --> 00:26:07,399 Speaker 1: Let's get over now to the founder and CEO of 448 00:26:07,600 --> 00:26:10,840 Speaker 1: a hiring firm that always gives us such incredible insight 449 00:26:10,920 --> 00:26:13,480 Speaker 1: around UM. These data points we've got, of course, the 450 00:26:13,680 --> 00:26:16,320 Speaker 1: non farm payrolls number. It was an addition of five 451 00:26:16,440 --> 00:26:19,399 Speaker 1: thirty one, which was better than anticipated, even better than 452 00:26:19,400 --> 00:26:22,040 Speaker 1: the whisper number, and we got um wages up four 453 00:26:22,119 --> 00:26:26,399 Speaker 1: point nine, almost as much as inflation. So that's pretty 454 00:26:26,400 --> 00:26:30,200 Speaker 1: good news. Tom Gimbal joins us out of Chicago. Tom, 455 00:26:30,880 --> 00:26:34,200 Speaker 1: let me get your take first off on the participation rate, 456 00:26:34,280 --> 00:26:37,879 Speaker 1: because this is the big problem. Everything else looks great, 457 00:26:38,160 --> 00:26:41,080 Speaker 1: but for some reason we can't get this all important 458 00:26:41,119 --> 00:26:45,080 Speaker 1: participation rate number. To Budge, it's at sixty one point six. 459 00:26:45,200 --> 00:26:46,719 Speaker 1: We were hoping to get it up to sixty one 460 00:26:46,760 --> 00:26:49,320 Speaker 1: point seven. What is keeping people out of the labor force. 461 00:26:50,680 --> 00:26:54,040 Speaker 1: My belief on that is we still have the kids 462 00:26:54,200 --> 00:26:57,719 Speaker 1: problem with UH, not the you know, now it's changed 463 00:26:57,800 --> 00:27:00,639 Speaker 1: with the approval from UH the abillity to get the 464 00:27:00,760 --> 00:27:04,480 Speaker 1: kids the vaccines, but with kids in school not having 465 00:27:04,560 --> 00:27:07,080 Speaker 1: the vaccine, you still have parents that were on the 466 00:27:07,160 --> 00:27:09,720 Speaker 1: sidelines making sure they could be home with their kids 467 00:27:10,160 --> 00:27:12,639 Speaker 1: if something happened with COVID in the classroom or their 468 00:27:12,720 --> 00:27:14,920 Speaker 1: kids got COVID to make sure they were there. As 469 00:27:15,040 --> 00:27:18,680 Speaker 1: COVID goes down, participation rate will increase. It's very confusing, 470 00:27:18,800 --> 00:27:21,440 Speaker 1: right because on one hand, you're we're talking about kids 471 00:27:21,480 --> 00:27:25,440 Speaker 1: in schools, but education was also the big laggard in 472 00:27:25,600 --> 00:27:30,080 Speaker 1: terms of hiring here. What was going on? Well, I 473 00:27:30,160 --> 00:27:34,399 Speaker 1: think education is is always interesting when you have the 474 00:27:34,480 --> 00:27:38,080 Speaker 1: schools and the classrooms, you've got people that have moved 475 00:27:38,119 --> 00:27:42,159 Speaker 1: into different areas, and and teacher hiring will go in 476 00:27:42,280 --> 00:27:44,679 Speaker 1: when there's when there's a baby boom so to speak, 477 00:27:45,040 --> 00:27:47,920 Speaker 1: that that we don't need excess hiring in that area 478 00:27:48,040 --> 00:27:51,280 Speaker 1: right now. And there's been uh, for lack of a 479 00:27:51,320 --> 00:27:53,159 Speaker 1: better word, of glutt of teachers on the market for 480 00:27:53,400 --> 00:27:56,160 Speaker 1: for a decade or so in that capacity, and it's 481 00:27:56,520 --> 00:27:58,640 Speaker 1: it's not going to be a big change there. Where 482 00:27:58,680 --> 00:28:00,920 Speaker 1: we really want to see the change is in travel, 483 00:28:01,359 --> 00:28:04,760 Speaker 1: in hospitality and the service sectors. And that means that 484 00:28:05,040 --> 00:28:07,320 Speaker 1: the world is getting back to normal. And when you 485 00:28:07,400 --> 00:28:11,560 Speaker 1: see a job's number like five one thousand jobs uh 486 00:28:11,960 --> 00:28:13,960 Speaker 1: last month, you got to look at it and say, 487 00:28:14,040 --> 00:28:18,040 Speaker 1: this thing is working. And political affiliation aside. This is 488 00:28:18,119 --> 00:28:21,359 Speaker 1: without an infrastructure bill getting passed. This is based on 489 00:28:21,560 --> 00:28:24,680 Speaker 1: the decline of COVID, This is on the vaccines. People 490 00:28:24,720 --> 00:28:27,320 Speaker 1: are getting back to work, companies are continuing to hire, 491 00:28:27,680 --> 00:28:30,600 Speaker 1: record profits, stock market, we are in a really good 492 00:28:30,720 --> 00:28:33,879 Speaker 1: situation coming out of the pandemic. Well absolutely, and then 493 00:28:33,960 --> 00:28:37,600 Speaker 1: we get this blockbuster news from Fiser. They have a 494 00:28:37,720 --> 00:28:41,400 Speaker 1: pill that they claim, at least in clinical trials, UM 495 00:28:41,840 --> 00:28:49,440 Speaker 1: reduces hospitalizations and deaths in high risk patients eight nine. Now, 496 00:28:49,480 --> 00:28:52,280 Speaker 1: if that's the case, Tom, is that not a game 497 00:28:52,360 --> 00:28:55,680 Speaker 1: changer for the U. S. Economy? Oh, it's it's like 498 00:28:55,760 --> 00:28:58,800 Speaker 1: getting cholesterol medicine, you know, fifty years ago. I mean, 499 00:28:58,840 --> 00:29:01,440 Speaker 1: this thing is legit. And when you get that in 500 00:29:01,520 --> 00:29:04,600 Speaker 1: clinical studies that it's that big for people who have disease, 501 00:29:05,080 --> 00:29:09,440 Speaker 1: older people, You've got a real fight here to do that. 502 00:29:09,560 --> 00:29:14,040 Speaker 1: Now that the challenges if that is what people gravitate towards, 503 00:29:14,200 --> 00:29:16,800 Speaker 1: and it doesn't allow people to keep getting the vaccine 504 00:29:17,000 --> 00:29:19,160 Speaker 1: because they go out, I'll just take the pill and 505 00:29:19,240 --> 00:29:21,120 Speaker 1: it doesn't have the same effects. I think the next 506 00:29:21,160 --> 00:29:22,600 Speaker 1: thing is going to have to be for the CDC 507 00:29:22,800 --> 00:29:25,760 Speaker 1: to roll out how the pill works in conjunction with 508 00:29:25,880 --> 00:29:29,240 Speaker 1: the vaccine, with the booster shots and where things are moving. 509 00:29:29,440 --> 00:29:32,600 Speaker 1: But with more and more companies coming forward and being 510 00:29:32,640 --> 00:29:37,080 Speaker 1: a vaccine only environment, you're seeing the last uh, the 511 00:29:37,200 --> 00:29:40,000 Speaker 1: last straw to fall, so to speak, that people are 512 00:29:40,080 --> 00:29:42,640 Speaker 1: going to get the vaccine so they're not missing out 513 00:29:42,680 --> 00:29:45,440 Speaker 1: on opportunity. I'm kind of curious about this tension between 514 00:29:45,720 --> 00:29:49,400 Speaker 1: vaccine mandates and workers. You know, in this Goldman study 515 00:29:49,560 --> 00:29:53,720 Speaker 1: that President Biden, Marty Walsh has all pointed out. A 516 00:29:53,840 --> 00:29:56,520 Speaker 1: point that Goldman makes is that point six percent of 517 00:29:56,600 --> 00:30:00,480 Speaker 1: healthcare worker has left their jobs following employer vaccine man dates. Now, 518 00:30:00,560 --> 00:30:02,640 Speaker 1: that's not a terribly big amount, but it is still 519 00:30:03,360 --> 00:30:06,760 Speaker 1: an amount. So how do you see this tension starting 520 00:30:06,840 --> 00:30:10,680 Speaker 1: to continue to play out? Well, I think there's tensions 521 00:30:10,720 --> 00:30:13,360 Speaker 1: across the board, and I think it's it's interesting. Right, 522 00:30:13,400 --> 00:30:16,560 Speaker 1: We've also got a situation in the labor market where 523 00:30:16,920 --> 00:30:19,280 Speaker 1: the administration is saying we're going to give bigger tax 524 00:30:19,320 --> 00:30:23,480 Speaker 1: breaks to union organizations for electric vehicles the non union organizations, 525 00:30:23,680 --> 00:30:25,560 Speaker 1: and I think that's what happens. We have a Secretary 526 00:30:25,600 --> 00:30:28,239 Speaker 1: of Labor who is so union friendly and that's how 527 00:30:28,280 --> 00:30:32,040 Speaker 1: they got got elected to be political office in Massachusetts, 528 00:30:32,080 --> 00:30:34,280 Speaker 1: and that's where the legislation is going. So I think 529 00:30:34,320 --> 00:30:37,160 Speaker 1: we actually have an intersection of where the rubber is 530 00:30:37,200 --> 00:30:39,760 Speaker 1: going to meet the road right now, with the election 531 00:30:39,800 --> 00:30:42,960 Speaker 1: of the Republican governor in Virginia followed by the strong 532 00:30:43,120 --> 00:30:46,200 Speaker 1: jobs numbers, is going to say people want moderation, they 533 00:30:46,240 --> 00:30:48,680 Speaker 1: want respect in the in the community. If people leave 534 00:30:48,760 --> 00:30:52,280 Speaker 1: the healthcare field, they didn't leave because they love the 535 00:30:52,440 --> 00:30:55,040 Speaker 1: job and they were upset about it. They left because 536 00:30:55,080 --> 00:30:58,600 Speaker 1: they don't love the job. And then there was the mandate. Right, 537 00:30:58,800 --> 00:31:02,280 Speaker 1: people don't quit abs they love because they don't want to. 538 00:31:02,320 --> 00:31:05,000 Speaker 1: They feel their civil rights you're being taken away. People 539 00:31:05,080 --> 00:31:08,440 Speaker 1: quit jobs they hate and they use that as an excuse. Yeah, 540 00:31:09,040 --> 00:31:12,360 Speaker 1: it's it's it's a it's a pretty good um, it's 541 00:31:12,360 --> 00:31:14,560 Speaker 1: a pretty good theory. I think I'm gonna go with that. 542 00:31:14,840 --> 00:31:16,880 Speaker 1: There was just there was a statistic. There was a 543 00:31:16,880 --> 00:31:19,680 Speaker 1: statistic about the year and a half ago and no, 544 00:31:19,800 --> 00:31:22,640 Speaker 1: two years ago, before COVID, and it said sixty percent 545 00:31:22,720 --> 00:31:28,040 Speaker 1: of the workforce is disengaged. Okay, that was before COVID, 546 00:31:28,200 --> 00:31:31,200 Speaker 1: before remote work, before everything else. Oh, now, all of 547 00:31:31,240 --> 00:31:32,960 Speaker 1: a sudden, you can work from home to three, four 548 00:31:33,000 --> 00:31:35,360 Speaker 1: or five days a week. Now you're engaged more. I 549 00:31:35,440 --> 00:31:37,360 Speaker 1: don't think so. Now you like the fact that you 550 00:31:37,360 --> 00:31:40,000 Speaker 1: don't have to commute more, You're not more engaged in 551 00:31:40,080 --> 00:31:42,440 Speaker 1: the job. And that's the problem is we still have 552 00:31:42,600 --> 00:31:45,520 Speaker 1: people doing jobs out of necessity, which is what they're 553 00:31:45,520 --> 00:31:49,200 Speaker 1: passionate about. And those are bigger, deeper, societal is amen. 554 00:31:49,360 --> 00:31:52,120 Speaker 1: Brother Tom great. Always great to get your take. Thanks 555 00:31:52,160 --> 00:31:54,080 Speaker 1: so much for joining us. Thanks for listening to the 556 00:31:54,120 --> 00:31:58,040 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 557 00:31:58,040 --> 00:32:02,320 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 558 00:32:02,360 --> 00:32:05,880 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller N seventy 559 00:32:05,960 --> 00:32:09,000 Speaker 1: three and on Fall Sweeney I'm on Twitter at pt Sweeney. 560 00:32:09,120 --> 00:32:11,760 Speaker 1: Before the podcast, you can always catch us worldwide at 561 00:32:11,760 --> 00:32:12,520 Speaker 1: Bloomberg Radio