1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,240 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Kind of Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:21,040 Speaker 1: and on Bloomberg dot com. I want to point out 7 00:00:21,040 --> 00:00:23,560 Speaker 1: that we'll be speaking with the Labor Secretary Eugene Scalia 8 00:00:23,760 --> 00:00:26,439 Speaker 1: in just a few minutes Alex Steele and Guy Johnson 9 00:00:26,480 --> 00:00:29,360 Speaker 1: with that interview on the current state of the American 10 00:00:29,440 --> 00:00:33,400 Speaker 1: economic recovery. Also jobs, of course, not such a pretty picture. 11 00:00:33,440 --> 00:00:36,920 Speaker 1: Weekly jobless claims coming in today. They did fall, but 12 00:00:37,080 --> 00:00:39,920 Speaker 1: still coming in at one million, four hundred and eighty 13 00:00:40,040 --> 00:00:43,120 Speaker 1: thousand initial jobless claims. That was down from one point 14 00:00:43,159 --> 00:00:46,280 Speaker 1: five four million, but not as big of a drop 15 00:00:46,400 --> 00:00:50,880 Speaker 1: as economists had estimated. PAULI ensured unappoyment rate falling as well, 16 00:00:50,880 --> 00:00:53,519 Speaker 1: but to thirteen point four percent. I mean, it's a massive, 17 00:00:53,640 --> 00:00:56,520 Speaker 1: massive number of no doubt. The Labor Secretary will suggest 18 00:00:56,600 --> 00:00:58,720 Speaker 1: that it would have been even more massive were it 19 00:00:58,800 --> 00:01:02,319 Speaker 1: not for everything that a government did. But it's it's 20 00:01:02,440 --> 00:01:04,680 Speaker 1: very hard to look at those numbers and not feel 21 00:01:04,920 --> 00:01:07,600 Speaker 1: like there's a big problem out there. There really is. 22 00:01:07,640 --> 00:01:10,480 Speaker 1: And I think that one of our guests earlier mentioned 23 00:01:10,520 --> 00:01:12,040 Speaker 1: that it was, you know, fourteen weeks into this and 24 00:01:12,080 --> 00:01:14,480 Speaker 1: we're still having these types of number. Right, let's send 25 00:01:14,480 --> 00:01:16,520 Speaker 1: it over now to Bloomer TV and Alex Steel and 26 00:01:16,520 --> 00:01:23,319 Speaker 1: Guy Johnson with the Labor Secretary. You help black employment, well, Uh, 27 00:01:23,640 --> 00:01:29,080 Speaker 1: the economy before the coronavirus hit, of course was uh 28 00:01:29,120 --> 00:01:35,520 Speaker 1: the single best economy that African Americans had experienced in 29 00:01:35,520 --> 00:01:38,840 Speaker 1: in in in in this country. Uh, it was an 30 00:01:38,840 --> 00:01:43,679 Speaker 1: economy that was great for Americans all around, with unemployment 31 00:01:43,680 --> 00:01:48,080 Speaker 1: that hit a UM fifty year low. Job creation was 32 00:01:48,160 --> 00:01:51,000 Speaker 1: more than three times what had been predicted when the 33 00:01:51,000 --> 00:01:55,000 Speaker 1: president came in, but unemployment for African Americans was particularly low, 34 00:01:55,560 --> 00:01:57,280 Speaker 1: and that was one of the really great achievements of 35 00:01:57,320 --> 00:02:01,560 Speaker 1: that economy. So I think looking for word, I was 36 00:02:01,560 --> 00:02:05,640 Speaker 1: gonna say, Mr Secretary, undoubtedly correct, but no one expects 37 00:02:05,680 --> 00:02:07,680 Speaker 1: us to get back to where we were. So when 38 00:02:07,720 --> 00:02:10,520 Speaker 1: you take a look at say, wages, uh, for for 39 00:02:10,600 --> 00:02:14,080 Speaker 1: black employees are lower than whites, any unemployment raised continually 40 00:02:14,200 --> 00:02:18,600 Speaker 1: higher for those in the community. You need to fix that. 41 00:02:18,760 --> 00:02:22,120 Speaker 1: So how do you do that? UM, well, you know, Alex, 42 00:02:22,360 --> 00:02:28,280 Speaker 1: UH going forward the same policies that delivered the record 43 00:02:28,320 --> 00:02:30,919 Speaker 1: low unemployment that we had until the virus came, or 44 00:02:31,000 --> 00:02:34,000 Speaker 1: going to the policies that matter going forward. That's UH 45 00:02:34,080 --> 00:02:37,920 Speaker 1: lightning the tax burden on American business, it's eliminating unnecessary 46 00:02:37,919 --> 00:02:41,680 Speaker 1: regulatory burdens that read led to a great job creation 47 00:02:42,080 --> 00:02:45,800 Speaker 1: and as you know, it also led to UH wage 48 00:02:45,800 --> 00:02:49,680 Speaker 1: increases that were greater for people in lower income brackets. 49 00:02:49,680 --> 00:02:52,560 Speaker 1: So those are all very good things for African Americans. 50 00:02:52,639 --> 00:02:55,120 Speaker 1: I think a couple other things going forward. At one 51 00:02:55,919 --> 00:03:01,440 Speaker 1: is the President's proclamation on Monday UH suspe bending UH 52 00:03:01,520 --> 00:03:04,840 Speaker 1: immigrant workers until the end of the year to provide 53 00:03:04,840 --> 00:03:08,400 Speaker 1: a buffer to give American workers a greater opportunity to 54 00:03:08,480 --> 00:03:11,000 Speaker 1: get back into the workforce. I think that's going to 55 00:03:11,080 --> 00:03:14,320 Speaker 1: help African American workers, it's going to help the economy 56 00:03:14,360 --> 00:03:17,760 Speaker 1: more broadly. And then we have reforms that we're going 57 00:03:17,800 --> 00:03:19,760 Speaker 1: to be looking to make to some of those immigrant 58 00:03:19,760 --> 00:03:22,079 Speaker 1: worker programs too, that I think are going to deliver 59 00:03:22,160 --> 00:03:25,040 Speaker 1: benefits across the board. The other thing I've mentioned is 60 00:03:25,080 --> 00:03:29,000 Speaker 1: the U s m c A goes into effect next week. 61 00:03:29,480 --> 00:03:32,800 Speaker 1: And that was one of the President's great achievements earlier 62 00:03:32,800 --> 00:03:37,240 Speaker 1: this year, bipartisan legislation that could create as many as 63 00:03:37,280 --> 00:03:40,720 Speaker 1: five hundred thousand new manufacturing jobs in this country, and 64 00:03:40,800 --> 00:03:43,440 Speaker 1: that's going to be a boon again for all working Americans. 65 00:03:46,800 --> 00:03:50,000 Speaker 1: It's the secondary Guy Johnson in London, why does keeping 66 00:03:50,080 --> 00:03:55,880 Speaker 1: smart people out of the United States help the US economy? Well, Uh, 67 00:03:56,320 --> 00:04:00,480 Speaker 1: the change that we've made is to give smarter Amricans 68 00:04:01,280 --> 00:04:04,839 Speaker 1: a better opportunity to get jobs in an economy where 69 00:04:04,840 --> 00:04:09,440 Speaker 1: we've made We've made progress over the last few weeks. Uh, 70 00:04:09,480 --> 00:04:12,119 Speaker 1: with two and a half million jobs add in May. 71 00:04:12,200 --> 00:04:14,560 Speaker 1: We know we've had a lot of jobs since then, 72 00:04:14,840 --> 00:04:17,799 Speaker 1: but we've still got too many Americans out of work. 73 00:04:18,040 --> 00:04:20,360 Speaker 1: We want to give them, uh an opportunity to get 74 00:04:20,400 --> 00:04:25,000 Speaker 1: back to work. Uh. If in fact, a business can't 75 00:04:25,040 --> 00:04:27,960 Speaker 1: find an American worker and there's a critical need to 76 00:04:27,960 --> 00:04:31,039 Speaker 1: be filled, there will be an exceptions process under the 77 00:04:31,040 --> 00:04:34,400 Speaker 1: President's order. But guy, long term, UH, we're going to 78 00:04:34,480 --> 00:04:37,880 Speaker 1: reform this program precisely so it does a better job 79 00:04:38,360 --> 00:04:42,880 Speaker 1: of bringing super talented workers into this country rather than 80 00:04:42,960 --> 00:04:46,520 Speaker 1: low wage workers who are competing with Americans and undercutting 81 00:04:46,920 --> 00:04:52,359 Speaker 1: American workers. Wages. We pivot and talk a little bit 82 00:04:52,360 --> 00:04:57,080 Speaker 1: about today's claims data. Um, the indications are from from 83 00:04:57,120 --> 00:05:00,240 Speaker 1: this this high frequency data. The what was thing in 84 00:05:00,240 --> 00:05:05,080 Speaker 1: the US economy is a stabilization at a relatively high 85 00:05:05,200 --> 00:05:09,359 Speaker 1: level of unemployments. UM. Do you think we're starting to 86 00:05:09,560 --> 00:05:13,480 Speaker 1: see a more realistic kind of view of what is 87 00:05:13,520 --> 00:05:16,800 Speaker 1: happening emerging from the data, because up until now we've 88 00:05:16,839 --> 00:05:19,479 Speaker 1: seen a very strong bounce back. Do you think we're 89 00:05:19,520 --> 00:05:21,920 Speaker 1: now starting to see evidence that that bounce back is 90 00:05:21,960 --> 00:05:26,360 Speaker 1: slowing down? I don't read this data that way, guy, 91 00:05:26,400 --> 00:05:28,560 Speaker 1: although I think it's a fair question. Because the initial 92 00:05:28,600 --> 00:05:32,000 Speaker 1: claims number was a bit higher than had been projected. 93 00:05:32,040 --> 00:05:36,120 Speaker 1: The number that really caught my attention was the continuing claims, 94 00:05:36,160 --> 00:05:38,919 Speaker 1: that is, the people that are remaining on unemployment, and 95 00:05:38,960 --> 00:05:44,599 Speaker 1: that dropped by about seven sixty seven thousand, a big drop. 96 00:05:44,920 --> 00:05:47,080 Speaker 1: But there was also a correction for the prior week. 97 00:05:47,120 --> 00:05:49,800 Speaker 1: You put them together, and we've got a million fewer 98 00:05:49,839 --> 00:05:53,520 Speaker 1: people on unemployment UH today than we thought we had 99 00:05:53,880 --> 00:05:58,000 Speaker 1: a week ago. That's that's progress. And the big report, 100 00:05:58,000 --> 00:06:00,240 Speaker 1: as you know, will be a week from today when 101 00:06:00,279 --> 00:06:04,200 Speaker 1: we put out our June jobs report. And UM, I'm 102 00:06:04,200 --> 00:06:08,279 Speaker 1: hopeful that that will show really significant progress along the 103 00:06:08,320 --> 00:06:10,280 Speaker 1: lines of what we we saw in May. I think 104 00:06:10,279 --> 00:06:13,080 Speaker 1: that will be a more reliable indicator than you know. 105 00:06:13,160 --> 00:06:16,440 Speaker 1: Initial claims are just claims file. They're not necessarily claims 106 00:06:16,440 --> 00:06:20,279 Speaker 1: that are going to be accepted by the state. So 107 00:06:21,360 --> 00:06:24,520 Speaker 1: even if we do get a better number for jobs Friday, 108 00:06:24,520 --> 00:06:26,160 Speaker 1: it's still going to be bad. It will be a 109 00:06:26,240 --> 00:06:29,120 Speaker 1: less bad kind of number. Um And at the same time, 110 00:06:29,160 --> 00:06:31,560 Speaker 1: at the end of this month, that additional assistance in 111 00:06:31,640 --> 00:06:36,960 Speaker 1: the unemployment checks from the Cares Act wears off. Anecdotally, Secretary, 112 00:06:37,040 --> 00:06:39,360 Speaker 1: I have friends who literally will not be able to 113 00:06:39,400 --> 00:06:42,279 Speaker 1: live without that extra money. What are you going to 114 00:06:42,360 --> 00:06:48,320 Speaker 1: do for them? Well, Ax, you're right. The six benefit 115 00:06:48,680 --> 00:06:50,520 Speaker 1: that was in the Cares Act, which was a really 116 00:06:50,560 --> 00:06:54,280 Speaker 1: important benefit that the President and Congress provided when the 117 00:06:54,320 --> 00:06:57,600 Speaker 1: economy was being closed down in March, that expires at 118 00:06:57,640 --> 00:07:00,040 Speaker 1: the end of July. UM. But we're gonna be a 119 00:07:00,120 --> 00:07:02,599 Speaker 1: very different situation at the end of July. Let's see 120 00:07:02,600 --> 00:07:04,200 Speaker 1: what the report shows us next week. But we know 121 00:07:04,279 --> 00:07:07,040 Speaker 1: the economy is reopening. We're we're not in a situation 122 00:07:07,080 --> 00:07:10,840 Speaker 1: anymore where government authorities are saying, essentially you can't go 123 00:07:10,920 --> 00:07:14,000 Speaker 1: to work. So I don't think that six benefit is 124 00:07:14,200 --> 00:07:18,440 Speaker 1: the right policy in an opening economy. Uh, come August. 125 00:07:19,720 --> 00:07:22,120 Speaker 1: So I wonder if there's a happy medium, because specifically 126 00:07:22,160 --> 00:07:24,320 Speaker 1: I'm talking about the services industry, because if you're a 127 00:07:24,320 --> 00:07:26,280 Speaker 1: waiter and you're going back and you work on tips, 128 00:07:26,320 --> 00:07:27,760 Speaker 1: you're not going to be getting back to where you 129 00:07:27,800 --> 00:07:29,840 Speaker 1: were pre COVID, So your tips might go from a 130 00:07:29,920 --> 00:07:31,640 Speaker 1: hundred dollars a day of fifty dollars a day, so 131 00:07:31,680 --> 00:07:34,360 Speaker 1: you're losing that money. Would you think about an income 132 00:07:34,400 --> 00:07:37,400 Speaker 1: subsidy for example, like France is doing. President at Cross 133 00:07:37,440 --> 00:07:40,320 Speaker 1: has something very similar today, working with unions to help 134 00:07:40,320 --> 00:07:42,800 Speaker 1: subsidize work or pay for it to compensate from the 135 00:07:42,880 --> 00:07:46,960 Speaker 1: loss they're missing. Can you do that well? Uh. Something 136 00:07:47,000 --> 00:07:49,920 Speaker 1: that we already have is what we call a short 137 00:07:49,960 --> 00:07:53,920 Speaker 1: time compensation. The idea is that a workforce can be 138 00:07:54,000 --> 00:07:57,080 Speaker 1: brought back, but maybe not all work full time. They've 139 00:07:57,120 --> 00:07:59,040 Speaker 1: they're brought back on a part time basis, and they 140 00:07:59,080 --> 00:08:03,880 Speaker 1: get a blend of pay and unemployment benefits. That's that's 141 00:08:03,920 --> 00:08:07,000 Speaker 1: being done some now, and I think that's that's a 142 00:08:07,080 --> 00:08:11,280 Speaker 1: concept to look look at. Obviously, we have UH continuing 143 00:08:11,320 --> 00:08:14,480 Speaker 1: state unemployment benefits are available, and we'll take a look 144 00:08:14,520 --> 00:08:18,640 Speaker 1: at whether there are any federal approaches that remain necessary. 145 00:08:18,640 --> 00:08:20,880 Speaker 1: But you have that state benefit, you have the opportunity 146 00:08:20,920 --> 00:08:23,760 Speaker 1: for a short time compensation. And we're focused most of 147 00:08:23,760 --> 00:08:27,080 Speaker 1: all on growing the economy again, on creating those jobs. 148 00:08:27,400 --> 00:08:30,960 Speaker 1: The President did such an extraordinary job of that up 149 00:08:31,040 --> 00:08:34,079 Speaker 1: until the virus came. We have no reason to think 150 00:08:34,120 --> 00:08:38,200 Speaker 1: that the economic fundamentals of UH the country are substantially 151 00:08:38,200 --> 00:08:40,560 Speaker 1: different when they were just a few months ago. So 152 00:08:40,679 --> 00:08:44,960 Speaker 1: I'm most focused now on reinforcing the policies that lead 153 00:08:45,040 --> 00:08:47,679 Speaker 1: to record job creation and getting people back to work, 154 00:08:48,520 --> 00:08:52,840 Speaker 1: rather than UM focusing so intently on the unemployment system itself. 155 00:08:56,320 --> 00:08:58,440 Speaker 1: It's a secretary. There are large parts of the United 156 00:08:58,480 --> 00:09:03,840 Speaker 1: States where the hospitalization count is now rising and rising dramatically. 157 00:09:04,520 --> 00:09:07,480 Speaker 1: We're saying it in Texas, We're seeing it's in Florida, 158 00:09:07,559 --> 00:09:12,160 Speaker 1: We're seeing it in California. Did these places reopened too quickly? 159 00:09:12,679 --> 00:09:16,120 Speaker 1: Is there too much emphasis being placed on reopening the 160 00:09:16,160 --> 00:09:21,440 Speaker 1: economy at this point at the expense potentially of public health? Well, guy, 161 00:09:21,440 --> 00:09:22,880 Speaker 1: I don't think it's quite right to say that there 162 00:09:22,880 --> 00:09:26,240 Speaker 1: are large parts of the country that are seeing these 163 00:09:26,280 --> 00:09:28,360 Speaker 1: flare ups, but we are we are seeing some flare 164 00:09:28,440 --> 00:09:32,600 Speaker 1: ups in parts of large states and it certainly has 165 00:09:32,640 --> 00:09:35,880 Speaker 1: to be and is being taken seriously. No, we did 166 00:09:35,920 --> 00:09:40,480 Speaker 1: not reopen too early. We knew that as we opened, UH, 167 00:09:40,520 --> 00:09:44,000 Speaker 1: that there would be some increased cases. We know far 168 00:09:44,120 --> 00:09:46,800 Speaker 1: better now how to deal with this virus than we 169 00:09:46,840 --> 00:09:49,360 Speaker 1: did two three months ago, and we have a much 170 00:09:49,400 --> 00:09:53,000 Speaker 1: greater capability to address it in terms of the tests 171 00:09:53,040 --> 00:09:57,000 Speaker 1: that are available, ventilator capacity and all of that. So 172 00:09:57,559 --> 00:09:59,640 Speaker 1: these are these flare ups are serious matters to take 173 00:09:59,640 --> 00:10:03,360 Speaker 1: a look at, uh, the viruses out there. Americans do 174 00:10:03,480 --> 00:10:06,760 Speaker 1: need to continue to exercise discipline so that we can 175 00:10:06,920 --> 00:10:09,960 Speaker 1: stay open um. But you look across the country as 176 00:10:10,000 --> 00:10:12,960 Speaker 1: a whole. The reopening is going well, it's going safely, 177 00:10:13,440 --> 00:10:15,439 Speaker 1: but we will continue to focus on these flare ups 178 00:10:15,480 --> 00:10:19,760 Speaker 1: as they occur. Mr. Secretary, It's it's really hard to 179 00:10:19,800 --> 00:10:23,199 Speaker 1: agree with you on that though. When you have Texas, California, 180 00:10:23,240 --> 00:10:26,800 Speaker 1: and Florida, I mean Texas suspended all elective surgeries. They're 181 00:10:26,800 --> 00:10:29,960 Speaker 1: looking at reaching hospital big capacity in certain areas, and 182 00:10:30,000 --> 00:10:33,080 Speaker 1: Houston is a huge medical center and they're having some 183 00:10:33,160 --> 00:10:37,000 Speaker 1: serious problems. Uh. The government seems to no longer have 184 00:10:37,080 --> 00:10:39,920 Speaker 1: control over shutdowns or not. If I'm living in Houston, 185 00:10:40,000 --> 00:10:42,640 Speaker 1: I'm probably not leaving my house and I'm not going shopping. 186 00:10:42,720 --> 00:10:45,440 Speaker 1: So how does that then trickle through to the labor market. 187 00:10:45,480 --> 00:10:47,880 Speaker 1: You're going to have more layoffs potentially, or second round 188 00:10:47,960 --> 00:10:51,000 Speaker 1: layoffs just because people just want to stay home themselves, 189 00:10:51,040 --> 00:10:56,560 Speaker 1: because these are huge states with a huge rising cases. Well, Alex, 190 00:10:57,200 --> 00:11:00,080 Speaker 1: I gotta disagree with you. I think you're these are 191 00:11:00,160 --> 00:11:04,520 Speaker 1: ups are serious. I think you're exaggerating the current situation. 192 00:11:04,600 --> 00:11:07,680 Speaker 1: That local authorities are well aware of it, they're looking 193 00:11:07,679 --> 00:11:12,240 Speaker 1: to address it. We here uh in the administration are 194 00:11:12,280 --> 00:11:15,200 Speaker 1: in contact with them and looking for ways to help. 195 00:11:15,240 --> 00:11:17,920 Speaker 1: But again, you look across the country as a whole. Uh, 196 00:11:17,960 --> 00:11:22,240 Speaker 1: the reopening has gone very successfully, and uh what's happening 197 00:11:22,280 --> 00:11:26,680 Speaker 1: in these specific locations is a reminder of the importance 198 00:11:26,720 --> 00:11:30,000 Speaker 1: of discipline, of being careful about the virus that it's 199 00:11:30,040 --> 00:11:32,680 Speaker 1: still out there. It's not a judgment on the reopening 200 00:11:32,679 --> 00:11:38,280 Speaker 1: as a whole. To pay it's away from what we've 201 00:11:38,280 --> 00:11:41,679 Speaker 1: just been talking about. Mr Secretary UM, Let's talk a 202 00:11:41,720 --> 00:11:46,720 Speaker 1: little bit about investing and how public money, public pension 203 00:11:46,760 --> 00:11:51,320 Speaker 1: money via funds should be invested. You have written that 204 00:11:51,520 --> 00:11:56,440 Speaker 1: the profit motive is ultimately the final arbiter of whether 205 00:11:56,559 --> 00:11:59,400 Speaker 1: or not decisions should be made versus one investment, sorry, 206 00:11:59,640 --> 00:12:03,880 Speaker 1: versus another investment. Why is impact investing wrong? Why is 207 00:12:03,960 --> 00:12:07,320 Speaker 1: E s G investing wrong? Particularly at a time when 208 00:12:07,320 --> 00:12:11,080 Speaker 1: we see such need for changes in the way we 209 00:12:11,080 --> 00:12:14,760 Speaker 1: approach the climates and changes in the way we approach society. 210 00:12:14,840 --> 00:12:20,760 Speaker 1: We started this conversation talking about black lives matter. Well, guys, 211 00:12:21,000 --> 00:12:23,640 Speaker 1: you're referring to a rule that the Labor Department put 212 00:12:23,679 --> 00:12:27,800 Speaker 1: out earlier this week regarding so called E s G 213 00:12:27,960 --> 00:12:32,280 Speaker 1: investing in in the context of of a private pension 214 00:12:32,280 --> 00:12:35,960 Speaker 1: plans here in the U s and uh Uh Obviously 215 00:12:36,040 --> 00:12:40,440 Speaker 1: people uh like the opportunity to, as I put it 216 00:12:40,440 --> 00:12:42,960 Speaker 1: in an op ed, I wrote, to do good while 217 00:12:43,000 --> 00:12:46,360 Speaker 1: also doing well financially. But some questions certainly have been 218 00:12:46,440 --> 00:12:49,040 Speaker 1: raised about some of the E s G rating systems 219 00:12:49,040 --> 00:12:52,880 Speaker 1: out there. How reliable thorough are they really? You see 220 00:12:52,880 --> 00:12:56,600 Speaker 1: systems that uh, one rating is high for a company, 221 00:12:56,600 --> 00:12:59,680 Speaker 1: another rating system rates it low. There have been questions 222 00:12:59,760 --> 00:13:03,120 Speaker 1: raised by the SEC about how some of these funds 223 00:13:03,120 --> 00:13:07,560 Speaker 1: are are being promoted. That the key under our law 224 00:13:07,679 --> 00:13:10,800 Speaker 1: for pension plans is simply that pension plans are to 225 00:13:10,840 --> 00:13:15,480 Speaker 1: be managed with one goal. That's maximizing Americans retirement savings. 226 00:13:15,679 --> 00:13:19,400 Speaker 1: That's a really, really good social objective. It shouldn't be 227 00:13:19,440 --> 00:13:25,760 Speaker 1: compromised by fiduciaries to those retirees who are pursuing political 228 00:13:25,920 --> 00:13:29,360 Speaker 1: ends that cost those retirees money. That's what our proposed 229 00:13:29,440 --> 00:13:35,439 Speaker 1: rule addresses. Okay, interesting in the light of what the 230 00:13:35,440 --> 00:13:38,200 Speaker 1: business round table is kind of moving towards. But we 231 00:13:38,280 --> 00:13:41,320 Speaker 1: have to leave the conversation that Mrs Secretary, thank you 232 00:13:41,400 --> 00:13:45,720 Speaker 1: very much. Indeed, Eugene Scalia, the US Labor Secretary. This 233 00:13:47,240 --> 00:13:50,200 Speaker 1: that was US Labor Secretary Eugene Scalia speaking with Bloomberg 234 00:13:50,200 --> 00:13:52,720 Speaker 1: anchors Alex Steel and Guy Johnson on a wide reaching 235 00:13:52,760 --> 00:13:56,080 Speaker 1: conversation from all things from the pandemic and the impact 236 00:13:56,080 --> 00:13:59,760 Speaker 1: on the economy to the current state of the jobs market. Again, 237 00:13:59,800 --> 00:14:01,600 Speaker 1: we had jobs claims today came in a little bit 238 00:14:01,679 --> 00:14:05,440 Speaker 1: higher than expected, so really weighing in on the employment 239 00:14:05,559 --> 00:14:09,640 Speaker 1: situation and the economic uh situation within the US. Right now, 240 00:14:09,679 --> 00:14:12,040 Speaker 1: let's pivot right now and talk to our good friend 241 00:14:12,040 --> 00:14:15,720 Speaker 1: Barry Ridholtz. He's found of Ridholts Wealth Management, Bloomberg opinion 242 00:14:15,760 --> 00:14:18,760 Speaker 1: columnists and host of Masters of Business, Barry, what was 243 00:14:18,800 --> 00:14:23,120 Speaker 1: your takeaway from the discussion with Secretary Scalia? Kind of 244 00:14:23,200 --> 00:14:28,760 Speaker 1: shocking to hear the Department of Labor secretary doesn't seem 245 00:14:28,800 --> 00:14:31,640 Speaker 1: to know what the word fiduciary means. I kind of 246 00:14:31,680 --> 00:14:35,200 Speaker 1: had to rewind that and do a double take. His 247 00:14:35,200 --> 00:14:39,000 Speaker 1: his take on e s g IS is malignantly malinformed. 248 00:14:39,920 --> 00:14:42,520 Speaker 1: The data on this shows that this has performed at 249 00:14:42,560 --> 00:14:46,560 Speaker 1: least as well as other actively managed accounts, especially over 250 00:14:46,600 --> 00:14:49,520 Speaker 1: the past couple of years. And if people want to 251 00:14:49,560 --> 00:14:53,680 Speaker 1: express their views through their portfolios, that's up to the 252 00:14:53,720 --> 00:14:58,760 Speaker 1: individual investor, the fiduciary, the advisor who is working with 253 00:14:58,800 --> 00:15:01,280 Speaker 1: a client their job just to put the client's best 254 00:15:01,320 --> 00:15:04,040 Speaker 1: interest first. It's kind of shocked the way he spits 255 00:15:04,080 --> 00:15:08,600 Speaker 1: that word out as if it was acid in his mouth. 256 00:15:08,800 --> 00:15:12,040 Speaker 1: You know, the studies have shown that having non fiduciaries 257 00:15:12,080 --> 00:15:15,800 Speaker 1: advise on four oh one case and other retirement accounts 258 00:15:16,120 --> 00:15:19,760 Speaker 1: coasted seventeen billion dollars a year. If he's really concerned 259 00:15:19,800 --> 00:15:26,000 Speaker 1: about maximizing investors retirement savings, enforce the fiduciary rule and 260 00:15:26,040 --> 00:15:30,400 Speaker 1: make everybody who advises on that that account have to 261 00:15:30,440 --> 00:15:34,080 Speaker 1: put the investors first. Best interest first, it's a really 262 00:15:34,120 --> 00:15:36,920 Speaker 1: simple solution. I was shocked by the double talk I 263 00:15:37,040 --> 00:15:40,920 Speaker 1: just heard. I mean, it's so interesting because obviously the 264 00:15:41,000 --> 00:15:44,320 Speaker 1: Labor Secretary can propose whatever he wants, right Barry, But 265 00:15:44,560 --> 00:15:48,520 Speaker 1: this is something that would be pretty detrimental. I think 266 00:15:48,560 --> 00:15:50,240 Speaker 1: to a lot of workers out there at a time 267 00:15:50,240 --> 00:15:53,600 Speaker 1: when there is, you know, a skyrocketing unempoyment rate and 268 00:15:53,600 --> 00:15:55,920 Speaker 1: initiate all those kids. They just are not coming down 269 00:15:56,000 --> 00:15:59,120 Speaker 1: fast enough, and so much uncertainty out there. You know. 270 00:15:59,360 --> 00:16:02,000 Speaker 1: I don't to let my politics get in the way 271 00:16:02,200 --> 00:16:07,200 Speaker 1: of of responding to the Labor Secretary. But I have 272 00:16:07,320 --> 00:16:10,880 Speaker 1: a full dashboard of COVID nineteen data and I look 273 00:16:10,920 --> 00:16:13,640 Speaker 1: at this every day, along with all the other data 274 00:16:13,680 --> 00:16:17,320 Speaker 1: I run through. And I don't know if he's looking 275 00:16:17,320 --> 00:16:20,640 Speaker 1: at the data, but but what we're seeing is an 276 00:16:20,720 --> 00:16:25,640 Speaker 1: increase um in testing and an even larger increase in 277 00:16:25,640 --> 00:16:31,480 Speaker 1: infection rate, and the whole Sun Belt is doing poorly. 278 00:16:31,520 --> 00:16:35,440 Speaker 1: Look at rt dot live shows you the the are 279 00:16:35,560 --> 00:16:39,040 Speaker 1: one measures of state by state. You have thirty three 280 00:16:39,080 --> 00:16:42,880 Speaker 1: states that are still showing a greater contagion and the 281 00:16:43,120 --> 00:16:46,880 Speaker 1: numbers going in the wrong directions. The early States, New York, 282 00:16:46,920 --> 00:16:51,440 Speaker 1: New Jersey, Connecticut, Massachusetts. Their numbers are coming down. The 283 00:16:51,480 --> 00:16:55,120 Speaker 1: early infection states from international travel, mostly from Europe. But 284 00:16:55,360 --> 00:16:58,760 Speaker 1: now we're seeing the states that reopened. Looks the facts 285 00:16:58,760 --> 00:17:01,520 Speaker 1: are a lot of these states. It's ignored the White 286 00:17:01,560 --> 00:17:05,440 Speaker 1: House guidelines, ignored the CDC guidelines. It's hard to look 287 00:17:05,440 --> 00:17:08,680 Speaker 1: at the date and say this is going great. The 288 00:17:08,720 --> 00:17:12,560 Speaker 1: reason the market got she lacked earlier this week, at 289 00:17:12,640 --> 00:17:17,199 Speaker 1: least in some narratives tellings, is because, Jeeves, we're not 290 00:17:17,280 --> 00:17:19,720 Speaker 1: even waiting for second waves. The first wave hasn't run 291 00:17:19,760 --> 00:17:25,240 Speaker 1: its course, and the numbers are heading in the wrong direction. Florida, California, Texas. 292 00:17:25,320 --> 00:17:28,359 Speaker 1: That those are both red, blue and purple states. The 293 00:17:28,480 --> 00:17:32,000 Speaker 1: virus doesn't care about your politics. It's going to infect 294 00:17:32,040 --> 00:17:36,400 Speaker 1: people when given an opportunity, and we're continuing to give 295 00:17:36,520 --> 00:17:40,240 Speaker 1: COVID nineteen an opportunity to spread. We we are not 296 00:17:40,640 --> 00:17:45,159 Speaker 1: doing this well compared to other countries. It's interesting. So Barry, 297 00:17:45,200 --> 00:17:48,160 Speaker 1: given again, that's shlacking you mentioned earlier in this week. 298 00:17:48,200 --> 00:17:50,199 Speaker 1: I agree that in large part due to some of 299 00:17:50,200 --> 00:17:54,159 Speaker 1: the virus news. It seems like, you know, I'm just 300 00:17:54,200 --> 00:17:56,240 Speaker 1: wondering how we play this again. I mean, is it 301 00:17:56,359 --> 00:17:59,280 Speaker 1: just steady as she goes and recognize that this is 302 00:17:59,280 --> 00:18:02,560 Speaker 1: probably gonna be a longer pull than maybe we had 303 00:18:02,600 --> 00:18:06,719 Speaker 1: initially hoped for. So we've kind of gone full circle. 304 00:18:06,840 --> 00:18:09,719 Speaker 1: The initial fear was this is a multi year process 305 00:18:09,840 --> 00:18:13,679 Speaker 1: to get a treatment, get a vaccine developed her immunity 306 00:18:13,760 --> 00:18:16,960 Speaker 1: where we're knowing near her community, yet you need well 307 00:18:17,000 --> 00:18:20,680 Speaker 1: over people to either have a vaccine or exposure to 308 00:18:20,680 --> 00:18:24,840 Speaker 1: to get that. And you know, we we kinda got 309 00:18:24,920 --> 00:18:29,280 Speaker 1: very enthusiastic. There is lots and lots of positive news 310 00:18:29,359 --> 00:18:33,639 Speaker 1: coming out in terms of treatment and vaccine testing and 311 00:18:34,160 --> 00:18:38,800 Speaker 1: the amount of treatment we're doing. Those have been moving 312 00:18:38,840 --> 00:18:43,720 Speaker 1: in the right direction, but they are also being confronted 313 00:18:43,880 --> 00:18:48,240 Speaker 1: by a lot of um let's call it lazy and 314 00:18:48,440 --> 00:18:51,560 Speaker 1: unfocused behavior that can lead to the spread of this 315 00:18:52,119 --> 00:18:55,040 Speaker 1: That The other factor that I think is important from 316 00:18:55,040 --> 00:18:59,960 Speaker 1: a market perspective, not from how rapidly we're spreading the disease, 317 00:19:00,119 --> 00:19:05,240 Speaker 1: is is simply at a certain point, markets and investors 318 00:19:05,320 --> 00:19:08,960 Speaker 1: lose their ability to get shocked and and and once 319 00:19:09,000 --> 00:19:13,520 Speaker 1: you cross a World War two number of American deaths, 320 00:19:14,440 --> 00:19:17,919 Speaker 1: you know a lot of the horrific, stunning shock of 321 00:19:18,000 --> 00:19:22,200 Speaker 1: that you become somewhat in order to it and so hey, 322 00:19:22,240 --> 00:19:24,639 Speaker 1: the good news is the death rate is going down, 323 00:19:25,359 --> 00:19:28,439 Speaker 1: partly because a lot of the spread of COVID is 324 00:19:28,480 --> 00:19:32,480 Speaker 1: taking place amongst the younger and younger. The average age 325 00:19:32,480 --> 00:19:36,080 Speaker 1: of infection is going lower. Um, but that's still dangerous. 326 00:19:36,080 --> 00:19:38,440 Speaker 1: And you're remember you're always on a two to three 327 00:19:38,480 --> 00:19:42,960 Speaker 1: week lag from testing to infection to mortality. Well, and 328 00:19:43,160 --> 00:19:45,680 Speaker 1: it's going down for now. But we're hearing today that 329 00:19:45,840 --> 00:19:48,800 Speaker 1: you know, Texas is overwhelmed and even the governor is 330 00:19:48,840 --> 00:19:53,119 Speaker 1: coming out saying you're sweeping problem Houston. Yeah, exactly. And 331 00:19:53,400 --> 00:19:55,919 Speaker 1: you know, obviously with people on ventilator is you know, 332 00:19:56,680 --> 00:19:59,480 Speaker 1: you don't want to to forecast it, but it would 333 00:19:59,480 --> 00:20:02,160 Speaker 1: seem more likely than not that there will be more 334 00:20:02,240 --> 00:20:06,919 Speaker 1: deaths in Texas. Barry. You know, our market participants looking 335 00:20:07,040 --> 00:20:12,359 Speaker 1: to the next presidential cycle, and are they assuming that 336 00:20:12,400 --> 00:20:15,040 Speaker 1: no matter who it is, does it doesn't really matter 337 00:20:15,080 --> 00:20:18,400 Speaker 1: because the federal reserve is in there and there's plenty 338 00:20:18,440 --> 00:20:20,600 Speaker 1: of back stopping of this market and it won't change 339 00:20:20,760 --> 00:20:24,320 Speaker 1: no matter who the next president is. That's always an 340 00:20:24,359 --> 00:20:27,880 Speaker 1: interesting question. You know. The traditional wisdom has has been 341 00:20:27,920 --> 00:20:31,760 Speaker 1: for a long time that markets like a divided government, 342 00:20:31,840 --> 00:20:35,160 Speaker 1: one party has the Congress, the other party has the 343 00:20:35,160 --> 00:20:37,280 Speaker 1: the White House, and everybody has to reach across the 344 00:20:37,359 --> 00:20:42,800 Speaker 1: aisle to um to work together. UM. I think that 345 00:20:42,800 --> 00:20:46,000 Speaker 1: that's sort of a glib overstatement, and we do all 346 00:20:46,040 --> 00:20:48,879 Speaker 1: have a tendency to put too much emphasis on what 347 00:20:49,000 --> 00:20:52,280 Speaker 1: the White House or where Congress has done. For the 348 00:20:52,320 --> 00:20:54,399 Speaker 1: most part, markets are going to do what they're going 349 00:20:54,440 --> 00:20:56,120 Speaker 1: to do. The economy is going to do what it's 350 00:20:56,160 --> 00:21:00,639 Speaker 1: going to do. There is very little correlation between between 351 00:21:00,680 --> 00:21:02,560 Speaker 1: the two. It certainly feels that way on a day 352 00:21:02,560 --> 00:21:07,800 Speaker 1: to day basis. I haven't seen any indication that that 353 00:21:08,000 --> 00:21:12,520 Speaker 1: the market is um is discounting one side or the 354 00:21:12,560 --> 00:21:16,080 Speaker 1: other winning. Whenever I read that, it tends to be 355 00:21:16,200 --> 00:21:19,199 Speaker 1: filled with people's personal bias and they take what the 356 00:21:19,240 --> 00:21:24,400 Speaker 1: market is doing and somehow crafted into a narrative. UM. 357 00:21:24,720 --> 00:21:28,080 Speaker 1: I had a little disagreement with my friend Jim Cramer 358 00:21:28,160 --> 00:21:32,040 Speaker 1: on on Twitter yesterday who said the two percent fall 359 00:21:32,119 --> 00:21:36,240 Speaker 1: in markets had to do with Biden's uh increase in 360 00:21:36,240 --> 00:21:41,200 Speaker 1: in ratings. It's like, wait, this market is up while 361 00:21:41,200 --> 00:21:43,919 Speaker 1: the incumbent was in free fall. Why are you picking 362 00:21:44,000 --> 00:21:47,720 Speaker 1: on Wednesday as your indicator. Isn't that a little bit 363 00:21:47,760 --> 00:21:52,720 Speaker 1: of a personal bias there, Jim, who I was just kidding. Barry, 364 00:21:53,000 --> 00:21:55,480 Speaker 1: thank you so much. It's always great to talk to 365 00:21:55,520 --> 00:21:58,240 Speaker 1: Barrier at alls, who doesn't pull us punches and always 366 00:21:58,240 --> 00:21:59,840 Speaker 1: has the smart take on what's going on in the 367 00:21:59,840 --> 00:22:02,560 Speaker 1: mark get and then political life and generally in investing. 368 00:22:02,600 --> 00:22:05,000 Speaker 1: You don't forget to listen to his Master's in Business podcast. 369 00:22:05,560 --> 00:22:09,479 Speaker 1: Just another brilliant episode week over week over week. So 370 00:22:09,600 --> 00:22:15,199 Speaker 1: thank you for that very well. It is time to 371 00:22:15,240 --> 00:22:17,880 Speaker 1: check in with the Bloomberg Opinion. First, I want to 372 00:22:18,080 --> 00:22:22,159 Speaker 1: reiterate the Supreme Court decision that came out today bolstering 373 00:22:22,200 --> 00:22:24,960 Speaker 1: the government's ability to quickly deport people who enter the 374 00:22:24,960 --> 00:22:28,640 Speaker 1: country illegally. You know, it's again siding with the Trump 375 00:22:28,640 --> 00:22:31,960 Speaker 1: administration on that refusal to give asylum seekers abroad right 376 00:22:32,040 --> 00:22:34,960 Speaker 1: to make their case to a federal judge. So Supreme 377 00:22:35,000 --> 00:22:38,080 Speaker 1: Court rules against court access for asylum seekers. It's a 378 00:22:38,119 --> 00:22:41,359 Speaker 1: separate story but slightly related in that it goes to 379 00:22:41,400 --> 00:22:44,240 Speaker 1: the tendency of Resident Trump to keep people out of 380 00:22:44,280 --> 00:22:47,600 Speaker 1: the USA. He signed an order on Monday temporarily halting 381 00:22:47,640 --> 00:22:51,520 Speaker 1: access to several employment based visas, and that affects hundreds 382 00:22:51,520 --> 00:22:54,520 Speaker 1: of thousands of people seeking to work in the United States. 383 00:22:54,520 --> 00:22:57,320 Speaker 1: These H one, B and H war visas used by 384 00:22:57,359 --> 00:22:59,560 Speaker 1: tech workers primarily, let's bring in someone who's written a 385 00:22:59,560 --> 00:23:03,280 Speaker 1: great column, honest, take him of Bloomberg opinion. Okay, why 386 00:23:03,680 --> 00:23:07,439 Speaker 1: is this generally not a good idea for the United 387 00:23:07,480 --> 00:23:13,320 Speaker 1: States and its productivity? So I see where Trump's trying 388 00:23:13,320 --> 00:23:16,439 Speaker 1: to do what he's saying that by restricting this immigration 389 00:23:16,520 --> 00:23:20,000 Speaker 1: within a free up jobs for Americans. But we're usually 390 00:23:20,160 --> 00:23:23,280 Speaker 1: risking one of the most important strategic assets that the 391 00:23:23,359 --> 00:23:26,800 Speaker 1: US has, which is the Silicon Valley innovation machine, which 392 00:23:26,880 --> 00:23:29,439 Speaker 1: is the end of the world and it's where the 393 00:23:29,520 --> 00:23:33,359 Speaker 1: most ambitious, best, brightest entrepreneurs and engineers around the world 394 00:23:33,840 --> 00:23:37,120 Speaker 1: want to start their companies, which is here. And we're 395 00:23:37,280 --> 00:23:41,359 Speaker 1: kind of risking this braking that we have um just needlessly. 396 00:23:41,560 --> 00:23:44,320 Speaker 1: And if you look at the history of the Valley 397 00:23:44,520 --> 00:23:48,240 Speaker 1: and American tech companies um, Bond, Cappell have this great 398 00:23:48,280 --> 00:23:52,000 Speaker 1: slide where six of the most highly valued US tech 399 00:23:52,040 --> 00:23:56,080 Speaker 1: companies were founded by either first generation second generation immigrants 400 00:23:56,080 --> 00:24:01,080 Speaker 1: were talking Google, Video, Qualcom, even Apple was second generation 401 00:24:01,119 --> 00:24:05,880 Speaker 1: with deep jobs. So we're easily risking this most important 402 00:24:05,880 --> 00:24:12,160 Speaker 1: thing and already companies and countries like Canada. The CEO 403 00:24:12,200 --> 00:24:14,800 Speaker 1: Shopify is going out there saying, oh, come to Canada. 404 00:24:15,000 --> 00:24:18,000 Speaker 1: That So I just I just argue that it's just 405 00:24:18,200 --> 00:24:21,120 Speaker 1: very shortsighted to risk this thing that we have that's 406 00:24:21,160 --> 00:24:25,560 Speaker 1: so great UM by limiting these visas. So Tay, I know, 407 00:24:25,880 --> 00:24:28,760 Speaker 1: at one point, you know, these visas were so so 408 00:24:28,840 --> 00:24:32,960 Speaker 1: important for the technology companies because quite frankly, America wasn't 409 00:24:33,000 --> 00:24:37,440 Speaker 1: producing enough engineers, enough computer scientists. Is that still the case? 410 00:24:39,400 --> 00:24:41,560 Speaker 1: I think, yes, that's the case. When you talk to 411 00:24:41,600 --> 00:24:46,040 Speaker 1: these companies, are we don't have enough engineers? Um shopifies 412 00:24:46,119 --> 00:24:49,880 Speaker 1: us all the time that their biggest constraint is they're 413 00:24:49,880 --> 00:24:53,960 Speaker 1: not finding enough talented computer engineers. So that's still a 414 00:24:54,080 --> 00:24:58,280 Speaker 1: huge constraint. And when you see this avalanche of criticism 415 00:24:58,359 --> 00:25:00,840 Speaker 1: in the last couple of days we're talking that's on Facebook, 416 00:25:00,840 --> 00:25:04,000 Speaker 1: Micro everyone's coming out saying they're up at arms. Even 417 00:25:04,040 --> 00:25:06,560 Speaker 1: startups are saying this is it's going to hurt our 418 00:25:06,560 --> 00:25:10,680 Speaker 1: ability recruit talent, it's going to hurt the economiccovery. One 419 00:25:10,720 --> 00:25:13,840 Speaker 1: of the other visas is uh. One of the the other 420 00:25:13,920 --> 00:25:19,600 Speaker 1: visa suspensions stops internal transfers inside these companies where they 421 00:25:19,600 --> 00:25:23,480 Speaker 1: can't move managers around, So it just throws a wrench 422 00:25:23,560 --> 00:25:27,560 Speaker 1: into the operation of these countries and also puts a 423 00:25:27,680 --> 00:25:31,120 Speaker 1: massive amount uncertainty when we're trying to recruit the best 424 00:25:31,119 --> 00:25:33,320 Speaker 1: and brightest people in the world. I mean, it seems 425 00:25:33,320 --> 00:25:35,800 Speaker 1: to be almost you know, a reflex on the part 426 00:25:35,800 --> 00:25:38,480 Speaker 1: of President Trump. As soon as things are not going 427 00:25:38,880 --> 00:25:41,720 Speaker 1: particularly well at the White House, he does something to 428 00:25:41,920 --> 00:25:46,200 Speaker 1: block access to this country. Is there an argument for 429 00:25:46,520 --> 00:25:48,800 Speaker 1: that going too far at some point? And for these 430 00:25:48,800 --> 00:25:51,760 Speaker 1: companies like Google and Facebook to just continue to set 431 00:25:51,840 --> 00:25:55,560 Speaker 1: up operations abroad. I mean, their tax headquarters are usually 432 00:25:55,600 --> 00:25:59,359 Speaker 1: in other places anyway. I mean I agree with that, 433 00:25:59,440 --> 00:26:04,360 Speaker 1: like if we can't bring people here, why all these 434 00:26:04,359 --> 00:26:07,119 Speaker 1: companies are going to start international offices and try to 435 00:26:07,119 --> 00:26:09,520 Speaker 1: recruit people to those international offers. But I think the 436 00:26:09,560 --> 00:26:14,560 Speaker 1: bigger problem is, um it might attract all these immigrants 437 00:26:15,520 --> 00:26:18,679 Speaker 1: to go elsewhere, like go to Europe, go to China, 438 00:26:19,520 --> 00:26:22,000 Speaker 1: or even stay where they are, instead of coming to 439 00:26:22,040 --> 00:26:26,360 Speaker 1: American companies and generating innovation that we need. And I mean, 440 00:26:27,080 --> 00:26:29,200 Speaker 1: this is not a zero sume game. This is not like, 441 00:26:29,640 --> 00:26:34,280 Speaker 1: oh we don't have this, We're not gonna It just 442 00:26:34,320 --> 00:26:37,520 Speaker 1: takes up an American person's job if we miss out 443 00:26:37,600 --> 00:26:40,119 Speaker 1: on the next Google or in video. These are the 444 00:26:40,200 --> 00:26:43,200 Speaker 1: thousands and thousands of jobs and economic growth that we're 445 00:26:43,200 --> 00:26:45,040 Speaker 1: not going to get. I mean, it's it's not a 446 00:26:45,119 --> 00:26:47,399 Speaker 1: zero sum game. We just we can miss out on 447 00:26:47,680 --> 00:26:52,800 Speaker 1: huge innovation, economic growth and job creation that we just 448 00:26:53,200 --> 00:26:56,720 Speaker 1: will totally miss out on. So tell you about their 449 00:26:56,760 --> 00:27:00,520 Speaker 1: thirty seconds. Are there other industries besides technology they're going 450 00:27:00,560 --> 00:27:05,000 Speaker 1: to be impacted by this move? Yes? Um, I think 451 00:27:05,040 --> 00:27:08,280 Speaker 1: a lot of wort tram workers. There's restrictions like camp 452 00:27:08,320 --> 00:27:11,040 Speaker 1: counselors or pairs. So this is not just tech. This 453 00:27:11,200 --> 00:27:14,720 Speaker 1: is across the board. All these work visas are getting 454 00:27:14,720 --> 00:27:16,560 Speaker 1: restricted for the rest of the year, and then green 455 00:27:16,640 --> 00:27:20,840 Speaker 1: cards the band for green cards is extended to to 456 00:27:20,960 --> 00:27:22,359 Speaker 1: the rest of the year too, So this is just 457 00:27:22,960 --> 00:27:28,360 Speaker 1: a vast kind of visas suspension for an immigration altogether. Well, 458 00:27:28,400 --> 00:27:31,360 Speaker 1: and definitely some of the offices are closed these days anyway, 459 00:27:31,400 --> 00:27:34,199 Speaker 1: both in the US and in other countries, so you know, 460 00:27:34,240 --> 00:27:37,040 Speaker 1: you could argue that it's just disruption. You know, it 461 00:27:37,080 --> 00:27:38,960 Speaker 1: doesn't mean that all these people that are seeking you 462 00:27:39,040 --> 00:27:41,199 Speaker 1: won't eventually get these visas, but for the moment they 463 00:27:41,200 --> 00:27:43,800 Speaker 1: certainly won't. And we don't know if that will be reversed, 464 00:27:43,800 --> 00:27:45,760 Speaker 1: so we don't know what the situation will be in 465 00:27:45,800 --> 00:27:50,399 Speaker 1: coming months. It's certainly fascinating. And you know, I noticed 466 00:27:50,400 --> 00:27:54,640 Speaker 1: the other day on Twitter the Shopify CEO tweeting out, look, 467 00:27:55,000 --> 00:27:58,440 Speaker 1: this might have happened. So then come come to Canada. 468 00:27:58,520 --> 00:28:02,440 Speaker 1: I've seen that. Yeah, you know, open for business. Yeah exactly. Hey, 469 00:28:02,520 --> 00:28:06,000 Speaker 1: thank you. Always great to dig into these orders in 470 00:28:06,040 --> 00:28:08,040 Speaker 1: a lot more detail, because there's usually a little more 471 00:28:08,080 --> 00:28:11,119 Speaker 1: there than meets the eye. Initially that has taken him 472 00:28:11,160 --> 00:28:13,159 Speaker 1: of Bloomberg Opinion. We do like to check in on 473 00:28:13,160 --> 00:28:16,199 Speaker 1: Bloomberg Opinion at least once a day. Paul, would you 474 00:28:17,280 --> 00:28:19,119 Speaker 1: go to another country of a tech company? Were to 475 00:28:19,119 --> 00:28:21,280 Speaker 1: ask you, well, I think if you're an immigrant, you're 476 00:28:21,280 --> 00:28:23,520 Speaker 1: looking for the best opportunity, and now historically that's been 477 00:28:23,560 --> 00:28:26,520 Speaker 1: in the US. But if you know, I think you're 478 00:28:26,520 --> 00:28:28,480 Speaker 1: absolutely gonna be flexible there. Yeah, I mean, if you're 479 00:28:28,480 --> 00:28:33,960 Speaker 1: moving anyway, why not move where you're wanted? Right, Well, 480 00:28:34,000 --> 00:28:36,840 Speaker 1: what we've seen from this pandemic is the how it's 481 00:28:36,880 --> 00:28:40,480 Speaker 1: really impacted pretty much every industry, every company out there, 482 00:28:40,520 --> 00:28:43,360 Speaker 1: in terms of how the executive team and the managements 483 00:28:43,800 --> 00:28:47,400 Speaker 1: kind of think about their strategies, their daily workflows. A 484 00:28:47,400 --> 00:28:49,080 Speaker 1: lot of companies and a lot of management teams have 485 00:28:49,080 --> 00:28:52,040 Speaker 1: had to completely rethink how they do their business and 486 00:28:52,080 --> 00:28:54,240 Speaker 1: to get a sense of kind of what they're thinking 487 00:28:54,280 --> 00:28:56,720 Speaker 1: about what's on the top of their to do list. 488 00:28:56,720 --> 00:28:59,520 Speaker 1: We welcome chrish Nan Ramano Jump. He's a president and 489 00:28:59,600 --> 00:29:04,400 Speaker 1: head of Business and Technology Services at Tata Consulting Services. Christna, 490 00:29:04,480 --> 00:29:07,080 Speaker 1: thanks so much for joining us from Mumbai. UM, give 491 00:29:07,160 --> 00:29:09,400 Speaker 1: us a sense of kind of boy, I just can't 492 00:29:09,440 --> 00:29:11,760 Speaker 1: imagine the conversations you're having with your clients. But what 493 00:29:11,800 --> 00:29:14,640 Speaker 1: are the two or three things you're asking your clients, 494 00:29:14,680 --> 00:29:17,479 Speaker 1: are suggesting to your clients that they think about as 495 00:29:17,520 --> 00:29:21,920 Speaker 1: they navigate a new world order impacted by this pandemic. 496 00:29:23,720 --> 00:29:25,720 Speaker 1: Good morning, Paul. Thank you for having me on the show. 497 00:29:25,760 --> 00:29:29,800 Speaker 1: It's suppaser to be here, so I would probably talk 498 00:29:29,880 --> 00:29:34,920 Speaker 1: about three or four things, Paul. The first and foremost, UM, 499 00:29:35,040 --> 00:29:38,720 Speaker 1: we've been telling our clients about how it is not 500 00:29:38,920 --> 00:29:42,680 Speaker 1: it is extremely important for transformation to be looked at 501 00:29:43,200 --> 00:29:46,120 Speaker 1: not as a one time moon shot, but it's something 502 00:29:46,120 --> 00:29:48,400 Speaker 1: that needs to be navigated on an ongoing basis. This 503 00:29:48,480 --> 00:29:52,120 Speaker 1: is a phenomenon we call as perfectual transformation gone off 504 00:29:52,160 --> 00:29:54,440 Speaker 1: the base. You can take one moon shot at transformation 505 00:29:54,480 --> 00:29:57,840 Speaker 1: and then live happily a roster. The technology and so 506 00:29:57,920 --> 00:30:01,440 Speaker 1: many other factors are changing, ever so often enterprises need 507 00:30:01,480 --> 00:30:06,440 Speaker 1: to have the ability to navigate multiple transformations, smaller transformations perpetually. 508 00:30:06,440 --> 00:30:09,200 Speaker 1: That's a key capability. That's the first and perhaps the 509 00:30:09,240 --> 00:30:12,520 Speaker 1: most important advice I give to my clients. The second 510 00:30:12,520 --> 00:30:16,440 Speaker 1: one I talk about is about location independent workforces. There 511 00:30:16,520 --> 00:30:19,240 Speaker 1: is this concept called agile in our line of business. 512 00:30:19,280 --> 00:30:25,520 Speaker 1: It's extremely um effective and there there was a trend 513 00:30:25,560 --> 00:30:28,560 Speaker 1: that said the teams had to be co located. But 514 00:30:28,960 --> 00:30:31,280 Speaker 1: over the last five years, Teachings as a company has 515 00:30:31,280 --> 00:30:34,920 Speaker 1: been a pioneer in terms of advocating how location independence 516 00:30:35,000 --> 00:30:37,960 Speaker 1: is a key if agile has to realize its potential. 517 00:30:38,560 --> 00:30:43,640 Speaker 1: And I think the pandemic has only um clearly demonstrated. 518 00:30:43,720 --> 00:30:48,200 Speaker 1: How precient, however, U forecast was around that. And the 519 00:30:48,280 --> 00:30:50,520 Speaker 1: third thing that I would probably say is about being 520 00:30:50,560 --> 00:30:54,560 Speaker 1: boderless collaborative. I think it's extremely clear the the winners 521 00:30:54,640 --> 00:30:56,760 Speaker 1: of the future are going to be enterprises that can 522 00:30:56,800 --> 00:31:00,160 Speaker 1: collaborate very well among themselves, internally within the company as 523 00:31:00,160 --> 00:31:03,520 Speaker 1: also with the partners. So there are many many technologies 524 00:31:03,520 --> 00:31:07,560 Speaker 1: that enable this, being data centric, leveraging, cloud and so 525 00:31:07,640 --> 00:31:10,640 Speaker 1: on and so forth. UM that in term the selves 526 00:31:10,640 --> 00:31:12,800 Speaker 1: in so many other benefits, but I'd probably stoppered these 527 00:31:12,840 --> 00:31:18,880 Speaker 1: three things. Perfectual transformation, location, independent workforce and collaborative boderless mindset. 528 00:31:18,960 --> 00:31:20,600 Speaker 1: Those are the three things I would pick as a 529 00:31:20,680 --> 00:31:23,040 Speaker 1: top three advice pieces of advice that I give to 530 00:31:23,120 --> 00:31:25,600 Speaker 1: my clients. Christen, and give us an idea of how 531 00:31:25,680 --> 00:31:32,120 Speaker 1: you managed to relocate four hundred and fifty thousand employees 532 00:31:32,280 --> 00:31:37,240 Speaker 1: to working remotely. I mean, that's a phenomenal exercise. Yes, 533 00:31:37,400 --> 00:31:41,600 Speaker 1: thank you. It still looks so surreal to me. Um. 534 00:31:42,560 --> 00:31:45,040 Speaker 1: If you ask me around mid to late March when 535 00:31:45,080 --> 00:31:49,040 Speaker 1: this pandemic hit us Vaney whether I'd be three months 536 00:31:49,080 --> 00:31:51,400 Speaker 1: later or whether I'd be sitting comfortably in my home 537 00:31:51,480 --> 00:31:55,120 Speaker 1: and almost back to normal in terms of working from 538 00:31:55,120 --> 00:31:58,400 Speaker 1: a remote location, I'd have said the odds are completely 539 00:31:58,440 --> 00:32:02,440 Speaker 1: against it. So I was extremely nervous, and so were 540 00:32:02,480 --> 00:32:04,400 Speaker 1: all of my colleagues in the senior management team there 541 00:32:04,440 --> 00:32:08,960 Speaker 1: at Tires. But um Thesis is very well known for 542 00:32:09,080 --> 00:32:12,440 Speaker 1: its um you know, I never say the attitude and 543 00:32:13,400 --> 00:32:16,920 Speaker 1: we love the challenge. It did require a heroic effort 544 00:32:16,920 --> 00:32:19,880 Speaker 1: from many of our employees. But the fact is that 545 00:32:19,960 --> 00:32:22,200 Speaker 1: everyone knew that all of us had to come together 546 00:32:22,240 --> 00:32:24,880 Speaker 1: to make it happen. And as a company, we put 547 00:32:25,280 --> 00:32:28,200 Speaker 1: customer centricity as the top of our priority list. So 548 00:32:28,320 --> 00:32:32,600 Speaker 1: unless we very very quickly became effective in terms of 549 00:32:32,600 --> 00:32:36,520 Speaker 1: working from homes, many of the critical and essential services 550 00:32:36,520 --> 00:32:38,960 Speaker 1: for our customers would suffer in a big way. So 551 00:32:39,040 --> 00:32:42,760 Speaker 1: once that pressure is on us, it's extremely important for 552 00:32:42,840 --> 00:32:45,320 Speaker 1: us to make it happen. Also, the government here, the 553 00:32:45,360 --> 00:32:50,600 Speaker 1: local authorities, everybody cooperated as also our people demonstrate an 554 00:32:50,600 --> 00:32:54,280 Speaker 1: excellent sense of responsibility and work ethics. So it required 555 00:32:54,320 --> 00:32:58,640 Speaker 1: a huge effort. But a combination of support from the 556 00:32:58,680 --> 00:33:02,760 Speaker 1: government and the huge demonstration of work epic and customer 557 00:33:02,800 --> 00:33:05,680 Speaker 1: commitment from our employees that's what made it happen. But 558 00:33:05,840 --> 00:33:08,880 Speaker 1: to say that today we are upwards of person of 559 00:33:08,880 --> 00:33:12,240 Speaker 1: our employees working from home is indeed remarkable. And all 560 00:33:12,240 --> 00:33:13,840 Speaker 1: of this happened in a matter of what four to 561 00:33:13,920 --> 00:33:17,120 Speaker 1: five weeks, So Christian about thirty seconds. Love to get 562 00:33:17,160 --> 00:33:19,840 Speaker 1: your sense of kind of how things are in India 563 00:33:20,080 --> 00:33:22,840 Speaker 1: right now. We're starting to see some resurgence in cases 564 00:33:22,880 --> 00:33:26,240 Speaker 1: here in the US. How is the virus trending in 565 00:33:26,240 --> 00:33:31,440 Speaker 1: India right now. In India still the curve is going up. 566 00:33:32,160 --> 00:33:35,160 Speaker 1: But the encouraging news is that the test positivity rate 567 00:33:35,880 --> 00:33:37,960 Speaker 1: is either flat are actually coming down. That is an 568 00:33:38,000 --> 00:33:40,400 Speaker 1: important thing. That which means two things, which means we 569 00:33:40,440 --> 00:33:44,400 Speaker 1: are testing enough um and the fact that the test 570 00:33:44,400 --> 00:33:48,040 Speaker 1: positivity rate is not going up probably means that it 571 00:33:48,120 --> 00:33:50,400 Speaker 1: is not out of control. Of course, in a country 572 00:33:50,520 --> 00:33:53,080 Speaker 1: like India at one point three billion people, the numbers 573 00:33:53,120 --> 00:33:56,200 Speaker 1: are going to be staggering, of course, but I think 574 00:33:56,400 --> 00:33:58,640 Speaker 1: so far, so good, even though that's not to say 575 00:33:58,680 --> 00:34:02,200 Speaker 1: what will happen tomorrow? Call as I'm sure they can imagine. Well, 576 00:34:02,240 --> 00:34:04,600 Speaker 1: these days we never know what to expect. Christian, thank 577 00:34:04,600 --> 00:34:07,760 Speaker 1: you for joining us today. Fascinating company and the fascinating 578 00:34:08,200 --> 00:34:11,520 Speaker 1: industry to be in right now. Christian Roman Nujam, President 579 00:34:11,600 --> 00:34:15,480 Speaker 1: of Business and Technology Services Atata Consulting Services, coming to 580 00:34:15,560 --> 00:34:19,480 Speaker 1: us from Mumbai there and he obviously had to relocate 581 00:34:19,600 --> 00:34:22,000 Speaker 1: you know, his staff Poul or the company's staff board 582 00:34:22,080 --> 00:34:25,560 Speaker 1: and fift. They're also dealing with everyone else's staff working 583 00:34:25,600 --> 00:34:28,359 Speaker 1: remotely as well, so it really boggles the mind. He's 584 00:34:28,360 --> 00:34:30,439 Speaker 1: been offering serious advice to C. E. O s during 585 00:34:30,440 --> 00:34:34,320 Speaker 1: the pandemic, including you know, perpetual transformation. A lot of 586 00:34:34,320 --> 00:34:36,719 Speaker 1: people get stuck during a time like this because there's 587 00:34:36,760 --> 00:34:39,680 Speaker 1: so many logistical concerns, but really, now is the time 588 00:34:39,719 --> 00:34:43,399 Speaker 1: to be transforming and to continue to move forward. Yeah, 589 00:34:43,520 --> 00:34:46,279 Speaker 1: technology is a Christman mentioned is just a key part 590 00:34:46,280 --> 00:34:50,160 Speaker 1: of that trying to help people remain productive during this 591 00:34:50,200 --> 00:34:54,560 Speaker 1: remote time. Thanks for listening to Bloomberg Markets podcast. You 592 00:34:54,600 --> 00:34:58,120 Speaker 1: can subscribe and listen to interviews at Apple Podcasts or 593 00:34:58,200 --> 00:35:01,560 Speaker 1: whatever a podcast platform you prefer. I'm Bonnie Quinn. I'm 594 00:35:01,560 --> 00:35:04,200 Speaker 1: on Twitter at Bonnie Quinn, and I'm Paul Sweeney. I'm 595 00:35:04,200 --> 00:35:06,839 Speaker 1: on Twitter at pt Sweeney. Before the podcast, you can 596 00:35:06,880 --> 00:35:09,120 Speaker 1: always catch us worldwide at Bloomberg Radio