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 --> 00:00:13,560 Speaker 1: along with essential market moving news. Kind the 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 --> 00:00:21,279 Speaker 1: and on Bloomberg dot com. Let's bring in Chris Low, 7 00:00:21,360 --> 00:00:24,720 Speaker 1: chief economist at h N Financial. A lot to talk about. 8 00:00:24,800 --> 00:00:27,200 Speaker 1: Chris one of the most expert forecasters when it comes 9 00:00:27,240 --> 00:00:29,800 Speaker 1: to the labor market. But Chris, oh, we don't mind 10 00:00:29,840 --> 00:00:33,080 Speaker 1: me jumping first into the president's diagnosis. Now, the market 11 00:00:33,080 --> 00:00:35,960 Speaker 1: gaped lower at the open, but we have been recovering 12 00:00:36,080 --> 00:00:39,159 Speaker 1: ever since. The SMP down now just seven tenths of 13 00:00:39,200 --> 00:00:43,080 Speaker 1: one percent. What does this change in terms of calculations 14 00:00:43,080 --> 00:00:46,720 Speaker 1: for traders? Essentially, there are just three outcomes, right, the 15 00:00:46,720 --> 00:00:49,239 Speaker 1: president wins the election, the resident loses the election, or 16 00:00:49,280 --> 00:00:51,760 Speaker 1: at some point between now and then, he becomes incapacitated 17 00:00:51,800 --> 00:00:56,680 Speaker 1: for a time. Well, that's right, good morning, funny. I 18 00:00:56,680 --> 00:01:00,720 Speaker 1: I think what we're hearing on the trading floor this warning, anyway, 19 00:01:01,040 --> 00:01:06,840 Speaker 1: is most people we're already thinking Biden most likely wins 20 00:01:06,959 --> 00:01:12,680 Speaker 1: this election, and that for that reason from an economic standpoint. 21 00:01:12,720 --> 00:01:17,520 Speaker 1: From a political standpoint, maybe what matters is the president's 22 00:01:17,640 --> 00:01:22,360 Speaker 1: inability to campaign in the last month before the election 23 00:01:23,000 --> 00:01:26,840 Speaker 1: and as a result, a more decisive Biden win. And 24 00:01:27,040 --> 00:01:31,920 Speaker 1: that has market implications because a more decisive win means 25 00:01:32,280 --> 00:01:37,600 Speaker 1: a bigger chance of flipping the Senate, giving the new 26 00:01:37,640 --> 00:01:42,520 Speaker 1: president a bigger mandate and easier to get his policies 27 00:01:42,680 --> 00:01:51,520 Speaker 1: through and uh, therefore resulting in a more aggressive domestic agenda. Alright, so, Chris, 28 00:01:52,320 --> 00:01:54,960 Speaker 1: I guess the question really goes to the Senate, as 29 00:01:55,000 --> 00:01:57,440 Speaker 1: you suggested here, What do you do you think the 30 00:01:57,480 --> 00:02:02,400 Speaker 1: market needs to be concerned about, uh, a democratic White 31 00:02:02,400 --> 00:02:08,160 Speaker 1: House and Senate as it relates to taxes, regulation, trade, 32 00:02:08,360 --> 00:02:10,320 Speaker 1: those issues. How do you think the market's kind of 33 00:02:10,320 --> 00:02:15,640 Speaker 1: thinking about that right now? Well, I'd say it's complicated. Uh. 34 00:02:15,800 --> 00:02:17,959 Speaker 1: And And the reason I say that is, look, if 35 00:02:17,960 --> 00:02:21,800 Speaker 1: if if Joe Biden gets everything he's proposed in terms 36 00:02:21,800 --> 00:02:26,880 Speaker 1: of taxes and spending, it's net positive for the economy. Uh. 37 00:02:26,919 --> 00:02:33,120 Speaker 1: It is certainly a significant redistribution, however, um And and 38 00:02:33,240 --> 00:02:38,440 Speaker 1: given that equity holders have big capital gains and tend 39 00:02:38,480 --> 00:02:42,240 Speaker 1: to be high income individuals, I suspect many of them 40 00:02:42,280 --> 00:02:45,600 Speaker 1: think it would be negative for them. UM. That said, 41 00:02:47,400 --> 00:02:50,600 Speaker 1: I think that we've already seen a rotation. We've seen 42 00:02:50,720 --> 00:02:55,960 Speaker 1: people taking profits just in case, uh in the past 43 00:02:56,080 --> 00:03:00,720 Speaker 1: month or so. UM. And I would caution anyone who's 44 00:03:00,800 --> 00:03:04,560 Speaker 1: thinking about making a trade based on the outcome of 45 00:03:04,600 --> 00:03:10,240 Speaker 1: the election. Regardless of who wins, the stock market always 46 00:03:10,280 --> 00:03:13,600 Speaker 1: does well in the first year. Uh. There is often 47 00:03:13,639 --> 00:03:16,760 Speaker 1: a correction in the first weeks after an election, but 48 00:03:17,800 --> 00:03:23,560 Speaker 1: you know, the the public tends to believe that that 49 00:03:23,720 --> 00:03:30,399 Speaker 1: that new administration's policies will be ultimately beneficial, and as 50 00:03:30,440 --> 00:03:33,760 Speaker 1: a result, the market does tend to trade higher in 51 00:03:33,800 --> 00:03:38,640 Speaker 1: the first year. It's fascinating, Chris. You know, the things 52 00:03:38,640 --> 00:03:41,400 Speaker 1: that we've been waiting for, like, for example, more stimulus, 53 00:03:41,880 --> 00:03:45,320 Speaker 1: This job's reward only makes that more urgent. Is that 54 00:03:45,360 --> 00:03:49,960 Speaker 1: a correct statement? I think so. Although Bunnie, I I 55 00:03:50,000 --> 00:03:53,720 Speaker 1: would argue this was actually a stronger than expected report, 56 00:03:54,000 --> 00:03:58,840 Speaker 1: given that private payrolls were up eight hundred seventy seven thousand, 57 00:03:58,920 --> 00:04:02,400 Speaker 1: there was a hundred and two thousand upward revision, the 58 00:04:02,480 --> 00:04:07,280 Speaker 1: unemployment rate unexpectedly falling to seven point nine percent, and 59 00:04:07,360 --> 00:04:12,240 Speaker 1: the only reason the headline missed was because local teacher 60 00:04:12,320 --> 00:04:17,479 Speaker 1: employment was not up enough in September to overcome the 61 00:04:17,520 --> 00:04:21,360 Speaker 1: seasonal factor, so on a seasonally adjusted basis, is reported 62 00:04:21,360 --> 00:04:26,440 Speaker 1: down two thousand. But if you have teachers in your family, 63 00:04:26,560 --> 00:04:29,800 Speaker 1: I've got a couple of sisters who teach public school. 64 00:04:30,320 --> 00:04:33,240 Speaker 1: You know, they went back early this year. They went 65 00:04:33,279 --> 00:04:35,240 Speaker 1: back because they had to figure out how they were 66 00:04:35,279 --> 00:04:37,919 Speaker 1: going to teach, and then they had to be trained 67 00:04:38,240 --> 00:04:42,520 Speaker 1: so they could teach. And those teacher numbers were huge 68 00:04:42,760 --> 00:04:45,920 Speaker 1: in July and August. UH compared to a year ago, 69 00:04:46,120 --> 00:04:50,000 Speaker 1: teacher employment is is little changed. Chris, how do you 70 00:04:50,000 --> 00:04:54,080 Speaker 1: think about the UH employment structure in this country here 71 00:04:54,120 --> 00:04:59,160 Speaker 1: before the pandemic where you know, historically low unemployment I 72 00:04:59,160 --> 00:05:02,720 Speaker 1: think three point six percent or something along those lines here, 73 00:05:03,120 --> 00:05:05,719 Speaker 1: How do you think it the unemployment situation is going 74 00:05:05,760 --> 00:05:07,680 Speaker 1: to look over the next couple three years. Is there 75 00:05:08,080 --> 00:05:11,800 Speaker 1: some permanent or semi permanent change resulting from this pandemic? 76 00:05:11,800 --> 00:05:15,840 Speaker 1: Do you think? I? I worry that is definitely a possibility. 77 00:05:15,960 --> 00:05:18,800 Speaker 1: I you know, I think it's really interesting. Economists are 78 00:05:18,839 --> 00:05:22,960 Speaker 1: talking about this dichotomy between a V shaped recovery and 79 00:05:22,960 --> 00:05:26,960 Speaker 1: a K shaped recovery, K shaped, suggesting that people are 80 00:05:27,000 --> 00:05:31,160 Speaker 1: being left behind, even as others prosper I think it's 81 00:05:31,200 --> 00:05:35,400 Speaker 1: important to realize these are not mutually exclusive. The economy 82 00:05:35,640 --> 00:05:40,640 Speaker 1: is in fact roaring back faster than expected, and yet 83 00:05:40,680 --> 00:05:45,480 Speaker 1: people are being left behind, and for that reason, I think, Uh, 84 00:05:45,520 --> 00:05:48,400 Speaker 1: you know, the thing I was most encouraged by in 85 00:05:48,480 --> 00:05:52,640 Speaker 1: the report this morning was that the African American unemployment 86 00:05:52,720 --> 00:05:57,560 Speaker 1: rate fell nine tenths of a percent um, and then 87 00:05:57,640 --> 00:06:02,200 Speaker 1: the unemployment rate among those with less than high school education, 88 00:06:02,400 --> 00:06:07,120 Speaker 1: so the sort of least skilled workers in the workforce, 89 00:06:07,680 --> 00:06:11,800 Speaker 1: that unemployment rate fell by two full percentage points. So 90 00:06:11,880 --> 00:06:15,599 Speaker 1: it it It does suggest in September at least that 91 00:06:15,839 --> 00:06:19,640 Speaker 1: some of the less advantaged communities in the US made 92 00:06:19,720 --> 00:06:25,160 Speaker 1: outsized gains, which is encouraging. What about women were seeing 93 00:06:25,279 --> 00:06:28,520 Speaker 1: some reports that women fared very badly in this particular 94 00:06:28,640 --> 00:06:30,480 Speaker 1: jobs report. Have you had a chance to look through 95 00:06:30,520 --> 00:06:34,440 Speaker 1: that data, Chris, that's that's right, Bonny, And that is 96 00:06:34,480 --> 00:06:37,000 Speaker 1: a trend that goes all the way back to the 97 00:06:37,080 --> 00:06:42,200 Speaker 1: beginning of this pandemic. With the March numbers. Uh, it's 98 00:06:42,240 --> 00:06:44,279 Speaker 1: you know, I think it looks it's one of the 99 00:06:44,320 --> 00:06:48,120 Speaker 1: reasons New York City, for example, was so late to 100 00:06:48,240 --> 00:06:51,640 Speaker 1: go back to restaurant dining. That this sort of realization 101 00:06:52,400 --> 00:06:58,040 Speaker 1: that that a lot of New Yorkers rely on school 102 00:06:58,279 --> 00:07:05,359 Speaker 1: for childcare, that without in school education, UH, two income 103 00:07:05,400 --> 00:07:08,200 Speaker 1: families are going to have to make a decision about 104 00:07:08,240 --> 00:07:12,960 Speaker 1: who works and who stays home. And with uh an 105 00:07:13,000 --> 00:07:18,000 Speaker 1: outsized number of families. UM, it is women's employment that 106 00:07:18,120 --> 00:07:22,960 Speaker 1: suffered as a result, and that continued in September. So, Chris, 107 00:07:23,000 --> 00:07:25,160 Speaker 1: you know, we we look at the economic data and 108 00:07:25,280 --> 00:07:27,480 Speaker 1: it's it's it's certainly showing an improvement, whether you're looking 109 00:07:27,520 --> 00:07:31,600 Speaker 1: at the housing data. Get some decent manufacturing numbers come 110 00:07:31,640 --> 00:07:35,080 Speaker 1: through this week. Uh. We are adding jobs, maybe at 111 00:07:35,080 --> 00:07:37,480 Speaker 1: a slower pace than what we would like to see, 112 00:07:37,520 --> 00:07:40,560 Speaker 1: but we are aiding stoves back. UM. I guess the 113 00:07:40,680 --> 00:07:43,200 Speaker 1: question is what does it mean if I'm sitting in Washington, 114 00:07:43,320 --> 00:07:45,200 Speaker 1: d C. How do you think the folks in Congress 115 00:07:45,240 --> 00:07:49,000 Speaker 1: are trying to digest this datas relates to fiscal stimulus. 116 00:07:49,880 --> 00:07:55,560 Speaker 1: That that is a fantastic question, and I think for perspective, 117 00:07:56,240 --> 00:08:00,280 Speaker 1: it's it's really important to hold the third quarter pins 118 00:08:00,440 --> 00:08:04,360 Speaker 1: up against the second quarter losses. Um. We we are 119 00:08:04,440 --> 00:08:09,720 Speaker 1: recovering quickly. We're looking at something like growth in this quarter. 120 00:08:10,000 --> 00:08:12,520 Speaker 1: And one way you see that in this report is 121 00:08:13,400 --> 00:08:20,760 Speaker 1: aggregant hours worked which um which which rose by uh 122 00:08:20,800 --> 00:08:24,120 Speaker 1: well a little more than but but at the same 123 00:08:24,120 --> 00:08:27,400 Speaker 1: time they fell by a little more than in the 124 00:08:27,440 --> 00:08:31,760 Speaker 1: second quarter. So there's we're climbing out of a really 125 00:08:31,840 --> 00:08:35,720 Speaker 1: deep hole. And the biggest gains were made all the 126 00:08:35,760 --> 00:08:39,160 Speaker 1: way back in May and June. We're climbing at a 127 00:08:39,240 --> 00:08:43,280 Speaker 1: decelerating pace as we go into the fourth quarter. I 128 00:08:43,280 --> 00:08:48,480 Speaker 1: I would argue that it is absolutely reckless not to 129 00:08:48,600 --> 00:08:53,000 Speaker 1: have at least a skinny pandemic aid bill, but to 130 00:08:53,080 --> 00:08:57,920 Speaker 1: do no bill at all is reckless. And uh you 131 00:08:57,960 --> 00:09:00,960 Speaker 1: know this. This is another reason I am worried by 132 00:09:01,000 --> 00:09:06,360 Speaker 1: the increasing chaos in Washington with the President testing COVID positive, 133 00:09:06,400 --> 00:09:11,079 Speaker 1: because it's just it's it's one more reason to think 134 00:09:11,240 --> 00:09:15,839 Speaker 1: that we may not get a bill because we're not 135 00:09:15,920 --> 00:09:18,200 Speaker 1: going to get the kind of work from both sides 136 00:09:18,280 --> 00:09:22,719 Speaker 1: that we need to reach compromise. Chris just explained to 137 00:09:22,840 --> 00:09:26,160 Speaker 1: us how we should read eight thirty seven thousand people 138 00:09:26,400 --> 00:09:29,959 Speaker 1: filing jobless claims for the first time. That was the 139 00:09:30,000 --> 00:09:33,839 Speaker 1: data we got yesterday, with sixty jobs created in the 140 00:09:33,920 --> 00:09:38,560 Speaker 1: non farm payrolls report. How are they correlated? Yeah, you know, 141 00:09:38,679 --> 00:09:44,360 Speaker 1: normally if you see outsized initial claims um, you would 142 00:09:44,360 --> 00:09:46,680 Speaker 1: expect to drop an employment And of course we've we've 143 00:09:46,679 --> 00:09:51,440 Speaker 1: had employment growth since the May report. UM My sense 144 00:09:51,600 --> 00:09:56,320 Speaker 1: is that the unemployment insurance system is still broken, that 145 00:09:57,480 --> 00:10:00,520 Speaker 1: states are struggling to keep people on the roles, they 146 00:10:00,559 --> 00:10:05,280 Speaker 1: are still falling off and they have to refile on 147 00:10:05,440 --> 00:10:09,400 Speaker 1: top of that. It's it's really hard to square the 148 00:10:09,800 --> 00:10:12,840 Speaker 1: ten million or so that show up as unemployed in 149 00:10:12,880 --> 00:10:19,000 Speaker 1: the unemployment report with the twenty six million who received 150 00:10:19,280 --> 00:10:23,040 Speaker 1: unemployment benefits of one kind or another two weeks ago. 151 00:10:24,240 --> 00:10:29,320 Speaker 1: I do at times wonder if the Bureau of Labor 152 00:10:29,360 --> 00:10:34,320 Speaker 1: Statistics has actually captured the full extent of the damage 153 00:10:34,760 --> 00:10:38,560 Speaker 1: from the lockdowns and the damage that continues in the 154 00:10:38,600 --> 00:10:41,880 Speaker 1: economy now. Chris, thanks so much for joining us. We 155 00:10:41,920 --> 00:10:45,920 Speaker 1: really appreciate your thoughts and perspective. Chris Lowe, Chief economists 156 00:10:45,920 --> 00:10:52,160 Speaker 1: at f h N Financial. So much news to process 157 00:10:52,280 --> 00:10:55,640 Speaker 1: on this busy Friday morning. We have the President in 158 00:10:55,720 --> 00:10:59,400 Speaker 1: his diagnosis of COVID nineteen. Also have a busy jobs 159 00:10:59,600 --> 00:11:04,280 Speaker 1: data day today, US jobs they rise less than forecast 160 00:11:04,440 --> 00:11:07,280 Speaker 1: as the economic rebound kind of downshifts here, I guess 161 00:11:07,280 --> 00:11:09,280 Speaker 1: there is a way to say it here in the 162 00:11:09,400 --> 00:11:12,560 Speaker 1: US economy. To get the latest on the jobs market, 163 00:11:12,600 --> 00:11:14,920 Speaker 1: we turn once again to Tom Gimble. He's a founder 164 00:11:14,920 --> 00:11:19,079 Speaker 1: and CEO of LaSalle Network. Found in Sound Network is 165 00:11:19,120 --> 00:11:22,080 Speaker 1: one of the leading staffing and recruiting firms in the country, 166 00:11:22,080 --> 00:11:24,800 Speaker 1: so Tom really has his finger on the pulse of hiring. Tom, 167 00:11:24,840 --> 00:11:27,040 Speaker 1: thanks so much for joining us here. What are your 168 00:11:27,040 --> 00:11:30,880 Speaker 1: takeaways from the jobs data that we got this morning. 169 00:11:31,840 --> 00:11:35,120 Speaker 1: I mean, it's it's good signs. Everybody wants it to 170 00:11:35,280 --> 00:11:40,160 Speaker 1: always be record setting months, but we added jobs, unemployment drop. 171 00:11:40,240 --> 00:11:43,680 Speaker 1: Those are positive signs. Uh, It's what it's what should 172 00:11:43,679 --> 00:11:47,320 Speaker 1: have happened. As the weather is still warm, you know, 173 00:11:47,360 --> 00:11:49,320 Speaker 1: as I've been saying with you guys for a few 174 00:11:49,360 --> 00:11:52,959 Speaker 1: months now, we'll really get an accurate reading on on 175 00:11:53,000 --> 00:11:56,720 Speaker 1: how things can stand up when the weather changes. Because 176 00:11:57,080 --> 00:12:00,080 Speaker 1: what really got hit in end of March, April in 177 00:12:00,160 --> 00:12:04,240 Speaker 1: May was the hospitality and restaurant sector. That's where so 178 00:12:04,280 --> 00:12:08,160 Speaker 1: many of the layoffs and the unemployed numbers came from. 179 00:12:08,240 --> 00:12:10,440 Speaker 1: And with the summer and warm weather, it came back. 180 00:12:10,520 --> 00:12:13,280 Speaker 1: So we'll see what happens north of the Mason Dixon 181 00:12:13,320 --> 00:12:17,120 Speaker 1: Line when it gets cold again. It seems like manufacturing 182 00:12:17,240 --> 00:12:20,880 Speaker 1: jobs didn't you know, show as much progress this month 183 00:12:20,880 --> 00:12:24,200 Speaker 1: as other months. Or a construction either why is that? 184 00:12:24,400 --> 00:12:27,640 Speaker 1: Is there a shortage or have developers just stopped being 185 00:12:27,640 --> 00:12:30,720 Speaker 1: able to find land? Well, I think what you got 186 00:12:30,760 --> 00:12:35,040 Speaker 1: on the on the manufacturing is on the consumer side, 187 00:12:35,400 --> 00:12:39,520 Speaker 1: there isn't the surplus of buying that was happening in June, July, 188 00:12:39,600 --> 00:12:42,720 Speaker 1: and August as people were were in more of a 189 00:12:42,800 --> 00:12:46,440 Speaker 1: lockdown moment. People feel more comfortable going out. They understand 190 00:12:46,480 --> 00:12:49,160 Speaker 1: if you wear a mask. So it's people aren't buying 191 00:12:49,200 --> 00:12:51,520 Speaker 1: in bulk as much so on the on that side 192 00:12:51,520 --> 00:12:54,839 Speaker 1: of the manufacturing. What we're seeing in Corporate America and 193 00:12:54,960 --> 00:12:57,760 Speaker 1: on real estate is people are waiting to see how 194 00:12:57,840 --> 00:13:01,600 Speaker 1: things shake out. Number one with the election, and number two, 195 00:13:01,640 --> 00:13:04,160 Speaker 1: is there going to be a number another stimulus package 196 00:13:04,440 --> 00:13:07,000 Speaker 1: and if so, how much and will that go through 197 00:13:07,000 --> 00:13:10,600 Speaker 1: Corporate America or will that go to the individual citizens 198 00:13:10,640 --> 00:13:13,120 Speaker 1: and what people will do with that money. So I 199 00:13:13,160 --> 00:13:16,080 Speaker 1: think again, I don't mean to we only be pushing 200 00:13:16,120 --> 00:13:19,760 Speaker 1: the ball forward. However, um, we've got to wait and 201 00:13:19,800 --> 00:13:23,320 Speaker 1: see what happens with this stimulus and UH with the 202 00:13:23,360 --> 00:13:27,800 Speaker 1: election to see how corporations react. So, Tom, we've had 203 00:13:27,840 --> 00:13:31,640 Speaker 1: a lot of high profile companies announced layoffs really just 204 00:13:31,679 --> 00:13:34,880 Speaker 1: in the last week or so. It seems that the airlines, uh, 205 00:13:34,920 --> 00:13:38,080 Speaker 1: some of the financial institutions, uh, the Walt Disney Company 206 00:13:38,120 --> 00:13:41,920 Speaker 1: twenty eight thousand employees. Um. How should we think about 207 00:13:41,960 --> 00:13:44,840 Speaker 1: that as opposed to kind of what we saw in March, 208 00:13:44,920 --> 00:13:47,520 Speaker 1: April and May, which is some smaller businesses, restaurants and 209 00:13:47,600 --> 00:13:51,800 Speaker 1: think things like that. Well, the good news is we 210 00:13:51,880 --> 00:13:57,320 Speaker 1: know it's directly related to the virus and to traveling 211 00:13:57,360 --> 00:14:01,240 Speaker 1: not happening, So there isn't uh wondering what the cause 212 00:14:01,400 --> 00:14:06,599 Speaker 1: is to this effect. So whether it's a vaccine or um, 213 00:14:06,640 --> 00:14:09,400 Speaker 1: a treatment for the for the virus that comes out 214 00:14:09,640 --> 00:14:13,079 Speaker 1: that as soon as that happens, God willing is that 215 00:14:13,200 --> 00:14:16,640 Speaker 1: we will we will see that pick up very very quickly. 216 00:14:16,640 --> 00:14:19,360 Speaker 1: And that's more of that v recovery of when we 217 00:14:19,400 --> 00:14:22,600 Speaker 1: get a cure or a treatment that works on everybody, 218 00:14:22,800 --> 00:14:25,800 Speaker 1: you'll see that bounce back. Um. You know, the Disney 219 00:14:25,840 --> 00:14:28,760 Speaker 1: World stuff is very basic and obvious. What's interesting to 220 00:14:28,840 --> 00:14:32,600 Speaker 1: track for for our economy here is what's going on 221 00:14:32,680 --> 00:14:36,680 Speaker 1: in other countries and are we seeing spikes globally versus 222 00:14:36,800 --> 00:14:41,720 Speaker 1: just in UH North America. What were some of your 223 00:14:41,840 --> 00:14:44,560 Speaker 1: clients telling you, Can you give us an idea of 224 00:14:44,600 --> 00:14:48,360 Speaker 1: how they're feeling, who they're looking for that kind of thing. Sure, 225 00:14:48,640 --> 00:14:51,240 Speaker 1: So what we've seen is our temporary staffing numbers. We 226 00:14:51,320 --> 00:14:53,880 Speaker 1: do all white collars staffing and then we have UH 227 00:14:53,960 --> 00:14:58,160 Speaker 1: search practice permanent search practice. Our temporary staffing numbers are 228 00:14:58,320 --> 00:15:01,720 Speaker 1: pre COVID levels. So now we've got companies that are 229 00:15:01,800 --> 00:15:04,200 Speaker 1: hiring and bringing people back. So the question is why 230 00:15:04,280 --> 00:15:08,800 Speaker 1: temporarily And the answer is it's a leading indicator that 231 00:15:08,960 --> 00:15:12,760 Speaker 1: they're optimistic, but they're still unshare based on the election 232 00:15:12,800 --> 00:15:17,760 Speaker 1: to do full permanent placement now simultaneously worried about nine 233 00:15:18,520 --> 00:15:21,240 Speaker 1: of our of our search practice of what it was 234 00:15:21,280 --> 00:15:24,720 Speaker 1: pre COVID. So that's very healthy too. Um So, our 235 00:15:24,840 --> 00:15:28,360 Speaker 1: our clients have said, I got I led a CEO 236 00:15:28,560 --> 00:15:33,880 Speaker 1: roundtable yesterday and people were very bullish. They were they 237 00:15:33,880 --> 00:15:36,880 Speaker 1: were moving forward with plans, they were hiring. The one 238 00:15:36,920 --> 00:15:41,080 Speaker 1: thing they're not doing is signing real estate leases and 239 00:15:41,080 --> 00:15:44,720 Speaker 1: and that is still a fear of how will people 240 00:15:44,720 --> 00:15:47,080 Speaker 1: want to come to work and are they willing to 241 00:15:47,240 --> 00:15:50,600 Speaker 1: come to work? And those are two very different questions, Tom, 242 00:15:50,600 --> 00:15:53,360 Speaker 1: What are your clients telling you, as it relates to 243 00:15:53,560 --> 00:15:56,560 Speaker 1: maybe the CEOs you spoke to just yesterday about the election, 244 00:15:56,600 --> 00:15:59,200 Speaker 1: how are they thinking about kind of weighing the pluses 245 00:15:59,240 --> 00:16:04,240 Speaker 1: and minuses of the Trump versus a Biden administration. Well, 246 00:16:04,240 --> 00:16:07,520 Speaker 1: the interesting thing was is that you know, for for 247 00:16:07,600 --> 00:16:12,080 Speaker 1: the past five months, the majority of CEOs have said, 248 00:16:12,480 --> 00:16:14,800 Speaker 1: you know, we feel that if Biden wins, there'll be 249 00:16:14,840 --> 00:16:17,080 Speaker 1: a short term hit on the stock market and that 250 00:16:17,280 --> 00:16:20,400 Speaker 1: the economy and if Trump wins, while they don't approve 251 00:16:20,600 --> 00:16:23,160 Speaker 1: and almost to a to a person, they don't approve 252 00:16:23,200 --> 00:16:25,600 Speaker 1: of his behavior, but they think that it will keep 253 00:16:25,640 --> 00:16:28,760 Speaker 1: their business going and keep their employees employed. Now, there 254 00:16:28,800 --> 00:16:31,800 Speaker 1: was an article that showed UH the other day that 255 00:16:31,960 --> 00:16:34,840 Speaker 1: said that if Biden wins, that that means that the 256 00:16:34,880 --> 00:16:37,480 Speaker 1: government will keep putting a surplus of funds out from 257 00:16:37,480 --> 00:16:40,120 Speaker 1: the Fed and the Treasury, and that will keep the 258 00:16:40,160 --> 00:16:44,360 Speaker 1: economy going. While maybe a bit superficially. So I actually 259 00:16:44,400 --> 00:16:47,200 Speaker 1: saw yesterday or heard yesterday and the the CEO round 260 00:16:47,240 --> 00:16:49,760 Speaker 1: table I was I was a part of that they're 261 00:16:49,800 --> 00:16:53,480 Speaker 1: actually more bullish on a Biden presidency than they were 262 00:16:53,600 --> 00:16:57,680 Speaker 1: three months ago. Can I ask about restaurant workers. Are 263 00:16:57,720 --> 00:17:01,280 Speaker 1: we seeing any any shift up words in the amount 264 00:17:01,320 --> 00:17:05,479 Speaker 1: of restaurant workers that you know may have been hired 265 00:17:05,560 --> 00:17:08,320 Speaker 1: through the cell for example. I mean, I know obviously 266 00:17:08,359 --> 00:17:09,840 Speaker 1: a lot of people just went back to where they 267 00:17:09,840 --> 00:17:12,639 Speaker 1: had been working. But what can you tell about indoor 268 00:17:12,760 --> 00:17:16,440 Speaker 1: dining in places in New York and how that's impacting things. Yeah, 269 00:17:16,480 --> 00:17:18,520 Speaker 1: so we we don't place people in the restaurants, but 270 00:17:18,720 --> 00:17:22,760 Speaker 1: we have seen is, for for example, our call center practice, 271 00:17:23,080 --> 00:17:25,959 Speaker 1: which has moved to almost all virtual where our clients 272 00:17:26,000 --> 00:17:29,000 Speaker 1: will put let people be in call centers virtually in 273 00:17:29,000 --> 00:17:32,240 Speaker 1: their home, and we've been seeing people who were restaurant 274 00:17:32,280 --> 00:17:36,520 Speaker 1: workers moving into those roles. Obviously, they're rolling back in 275 00:17:36,920 --> 00:17:39,399 Speaker 1: over the summer with outdoor dining in New York and 276 00:17:39,560 --> 00:17:45,159 Speaker 1: Chicago and other city major metropolitan cities. Um, the challenge 277 00:17:45,400 --> 00:17:48,800 Speaker 1: in that is and I was talking to the end 278 00:17:48,800 --> 00:17:52,720 Speaker 1: of last week a couple very large restaurant owners, and 279 00:17:52,760 --> 00:17:55,520 Speaker 1: they were saying that if if it doesn't get to 280 00:17:55,560 --> 00:17:59,239 Speaker 1: be more than sev there's absolutely no way they can 281 00:17:59,320 --> 00:18:03,640 Speaker 1: handle a winter. And if the restaurants do close down, um, 282 00:18:03,720 --> 00:18:06,479 Speaker 1: you're gonna see a huge spike and unemployment in the 283 00:18:06,480 --> 00:18:09,800 Speaker 1: service just like we had in March and April. It's 284 00:18:09,800 --> 00:18:12,760 Speaker 1: gonna be it's gonna be the exact same thing on 285 00:18:12,880 --> 00:18:15,440 Speaker 1: the on the restaurant side as it was. And as 286 00:18:15,480 --> 00:18:18,720 Speaker 1: the winter months come, you're gonna see less automobile travel 287 00:18:18,800 --> 00:18:21,760 Speaker 1: for vacations and you'll see it in the hotel side too. 288 00:18:22,080 --> 00:18:25,440 Speaker 1: Now coincidentally, the good thing is coming into the holiday 289 00:18:25,480 --> 00:18:29,480 Speaker 1: season with Amazon, with Target, you're gonna have holiday shopping. 290 00:18:29,520 --> 00:18:32,720 Speaker 1: So there will be jobs in the warehouse and distribution 291 00:18:32,840 --> 00:18:35,760 Speaker 1: centers and things like that, and people just have to 292 00:18:35,760 --> 00:18:39,159 Speaker 1: pivot and go from being UH servers and waiters and 293 00:18:39,200 --> 00:18:43,439 Speaker 1: bartenders to being in warehouses and picking and packing UH 294 00:18:43,480 --> 00:18:46,960 Speaker 1: for the hot days. So, Tom, is there any regional 295 00:18:47,320 --> 00:18:49,680 Speaker 1: variations that you're seeing in your data here certain parts 296 00:18:49,720 --> 00:18:52,520 Speaker 1: of the country doing better or worse than others. No, 297 00:18:52,640 --> 00:18:55,199 Speaker 1: what we're seeing is is there there there is a 298 00:18:55,240 --> 00:18:58,480 Speaker 1: little bit of Red state, Blue state and south of 299 00:18:58,520 --> 00:19:02,040 Speaker 1: the Mason Dixon line where the weather stays warmer and 300 00:19:02,119 --> 00:19:05,520 Speaker 1: the hospitality UH workers are are gonna be able to 301 00:19:05,520 --> 00:19:10,000 Speaker 1: work outside longer. Um that it's doing really well. UH. 302 00:19:10,000 --> 00:19:13,480 Speaker 1: In in Alabama, the bars just old restaurants just opened again, 303 00:19:13,920 --> 00:19:17,359 Speaker 1: and so you have that situation and where you've got 304 00:19:17,760 --> 00:19:20,960 Speaker 1: um in more of the quote unquote blue states and 305 00:19:21,040 --> 00:19:24,400 Speaker 1: blue governors and mayors that it's a little bit more restrictive, 306 00:19:24,720 --> 00:19:27,040 Speaker 1: and you're seeing people now what is what is gonna happen? 307 00:19:27,359 --> 00:19:30,440 Speaker 1: I was I was with UH, a private equity UH 308 00:19:30,880 --> 00:19:33,000 Speaker 1: partner the other day and they were saying, you know, 309 00:19:33,040 --> 00:19:35,760 Speaker 1: the restaurants will shut down, but eighteen to twenty four 310 00:19:35,760 --> 00:19:38,240 Speaker 1: months from now, you're gonna get a lot of entrepreneurial 311 00:19:38,240 --> 00:19:40,440 Speaker 1: opportunities where people are gonna go in and take over 312 00:19:40,480 --> 00:19:45,600 Speaker 1: those vacated restaurant spaces at lower rates and reopen. And 313 00:19:45,680 --> 00:19:49,479 Speaker 1: so you know, the the economy will bounce back and 314 00:19:49,520 --> 00:19:51,640 Speaker 1: maybe even at a higher level, but it may take 315 00:19:51,680 --> 00:19:53,720 Speaker 1: two or three years for that to happen. And there's 316 00:19:53,720 --> 00:19:56,520 Speaker 1: gonna be some there's gonna be some bodies buried around 317 00:19:56,600 --> 00:20:00,679 Speaker 1: because of UH of the economic uncertainty. We saw today 318 00:20:00,720 --> 00:20:03,280 Speaker 1: that younger people actually saw a bit of a boost 319 00:20:03,280 --> 00:20:06,920 Speaker 1: in this job's reporting twenty four for example, presumably because 320 00:20:06,920 --> 00:20:09,720 Speaker 1: they're cheaper and so on. In terms of age groups. 321 00:20:10,080 --> 00:20:13,080 Speaker 1: What have you been seeing, you know, coming into the 322 00:20:13,160 --> 00:20:15,400 Speaker 1: cell or calling the cell, and what have you been 323 00:20:15,440 --> 00:20:20,320 Speaker 1: seeing requested from the cell absolutely so. What we see 324 00:20:20,400 --> 00:20:24,120 Speaker 1: a lot is recent college grads called zero to three 325 00:20:24,160 --> 00:20:27,400 Speaker 1: years out of college, and you're exactly right. The wages 326 00:20:27,440 --> 00:20:30,520 Speaker 1: have been driven down in this economy, and people who 327 00:20:30,560 --> 00:20:33,640 Speaker 1: want to work, especially remotely, are going to take less 328 00:20:33,680 --> 00:20:36,520 Speaker 1: money to work remotely than having to go into the office, 329 00:20:36,520 --> 00:20:38,840 Speaker 1: and we've seen a spike there. The other thing we've 330 00:20:38,840 --> 00:20:43,880 Speaker 1: seen as at senior manager and executive level is our 331 00:20:44,000 --> 00:20:47,280 Speaker 1: contract business of people who will do three to six 332 00:20:47,359 --> 00:20:52,359 Speaker 1: month engagements that previously we're only looking for uh quote 333 00:20:52,400 --> 00:20:55,240 Speaker 1: unquote permanent jobs are willing to do three to six 334 00:20:55,280 --> 00:20:58,119 Speaker 1: months contracts now. And you know that that profile is 335 00:20:58,200 --> 00:21:02,760 Speaker 1: usually late forties, the sixty year old UH folks who 336 00:21:02,760 --> 00:21:05,800 Speaker 1: are willing to do more short term positions at an 337 00:21:05,800 --> 00:21:09,160 Speaker 1: executive level versus holding out because no one knows how 338 00:21:09,160 --> 00:21:10,480 Speaker 1: long it's going to be and they don't want to 339 00:21:10,520 --> 00:21:12,720 Speaker 1: be uh They don't want to be the last person 340 00:21:12,800 --> 00:21:15,680 Speaker 1: standing when the music stops. Hey, Tom, thanks so much 341 00:21:15,680 --> 00:21:18,879 Speaker 1: for joining us. We appreciate it. Tom Gimble, founder and 342 00:21:18,960 --> 00:21:24,960 Speaker 1: CEO of LaSalle A Network. We appreciate your thoughts. Let's 343 00:21:25,000 --> 00:21:28,919 Speaker 1: talk about the potential UH handoff of power even an 344 00:21:28,920 --> 00:21:32,000 Speaker 1: a temporary basis, should President Trump fall ill to this 345 00:21:32,080 --> 00:21:36,280 Speaker 1: COVID nineteen. We welcome Josh Green, Bloomberg Business Week National correspondent. Josh, 346 00:21:36,320 --> 00:21:38,399 Speaker 1: thanks so much for joining us here. Tell us what 347 00:21:38,480 --> 00:21:41,800 Speaker 1: you know as to to the extent that the President 348 00:21:42,000 --> 00:21:44,800 Speaker 1: were to become hospitalized, how this might play out, to 349 00:21:44,840 --> 00:21:47,360 Speaker 1: the extent there might need to be some temporary, uh 350 00:21:47,480 --> 00:21:51,040 Speaker 1: handover of power and responsibilities. Well, we actually did a 351 00:21:51,080 --> 00:21:52,960 Speaker 1: big story in Business Week about what would happen if 352 00:21:53,000 --> 00:21:55,520 Speaker 1: the President tested positive for COVID back in May, and 353 00:21:55,560 --> 00:21:57,920 Speaker 1: talk to all the constitutional experts then a lot of 354 00:21:58,000 --> 00:22:01,240 Speaker 1: former White House advisors on the two ways the transfer 355 00:22:01,359 --> 00:22:04,879 Speaker 1: that power could be transferred under the amendment. UM. The first, 356 00:22:04,920 --> 00:22:06,679 Speaker 1: and this is not all that uncommon, is that the 357 00:22:06,720 --> 00:22:09,160 Speaker 1: president could agree to hand over control of the vice 358 00:22:09,160 --> 00:22:12,760 Speaker 1: president temporarily. UM. This happened twice under the George W. 359 00:22:12,880 --> 00:22:16,840 Speaker 1: Bush administration while President Bush was undergoing medical procedures. It 360 00:22:16,880 --> 00:22:21,320 Speaker 1: happened during the Reagan administration. Wants it's not all that unusual. UM. 361 00:22:21,359 --> 00:22:23,920 Speaker 1: The other way in which power could be transferred is 362 00:22:23,960 --> 00:22:27,240 Speaker 1: if Trump were stricken suddenly or had to be sedated 363 00:22:27,760 --> 00:22:30,960 Speaker 1: for intubation. UH. In that case, if he if he 364 00:22:31,000 --> 00:22:34,639 Speaker 1: didn't voluntarily hand over power. The amendment allows for the 365 00:22:34,720 --> 00:22:39,800 Speaker 1: vice president and the cabinet to execute that transfer presidential power. So, uh, 366 00:22:39,840 --> 00:22:42,080 Speaker 1: you know, from what little we've heard from the White 367 00:22:42,080 --> 00:22:44,639 Speaker 1: House about the president's condition, it doesn't seem as if 368 00:22:44,760 --> 00:22:47,639 Speaker 1: right now that's something that's coming into play. But in 369 00:22:47,680 --> 00:22:51,119 Speaker 1: the event that his symptoms worsened, Uh, and it could. 370 00:22:51,280 --> 00:22:53,520 Speaker 1: He could either do it on his own or his 371 00:22:53,600 --> 00:22:56,560 Speaker 1: cabinet and vice president could do it for him. Now, 372 00:22:56,680 --> 00:23:00,480 Speaker 1: what happens if a president contests the ending that he's 373 00:23:00,480 --> 00:23:04,159 Speaker 1: incapable of carrying out his duties? Josh, can he contested 374 00:23:04,200 --> 00:23:07,600 Speaker 1: and win? Well, it's it's not really clear, and we 375 00:23:07,640 --> 00:23:10,520 Speaker 1: haven't we haven't been in this situation before. I mean, 376 00:23:10,560 --> 00:23:13,960 Speaker 1: there is a clear constitutional line of succession. If Trump 377 00:23:14,000 --> 00:23:17,520 Speaker 1: were incapacitated unable to fulfill the duties of his office, 378 00:23:17,520 --> 00:23:20,479 Speaker 1: whether he thought so or not, Cabinet and vice president 379 00:23:20,480 --> 00:23:22,720 Speaker 1: could vote and decide to take those powers away to 380 00:23:22,760 --> 00:23:26,679 Speaker 1: transfer them the Vice President Pence. If, however, Trump and 381 00:23:26,720 --> 00:23:29,960 Speaker 1: Pence both were to be stricken with a virus and incapacitated, 382 00:23:30,520 --> 00:23:33,280 Speaker 1: the next in line and constitutional succession is how Speaker 383 00:23:33,359 --> 00:23:37,080 Speaker 1: Nancy Pelosi, a Democrat, of course, very unlikely I think 384 00:23:37,119 --> 00:23:39,359 Speaker 1: that that would happen. But if we do wind up 385 00:23:39,440 --> 00:23:42,480 Speaker 1: down that path, this is when constitutional experts say that 386 00:23:42,520 --> 00:23:46,280 Speaker 1: things get very, very tricky because the Constitution does not 387 00:23:46,440 --> 00:23:51,040 Speaker 1: define what constitutes the president inability to do it to 388 00:23:51,080 --> 00:23:53,800 Speaker 1: do the job. So some of the experts I talked 389 00:23:53,800 --> 00:23:56,960 Speaker 1: to have said, you know, that raises a scenario where 390 00:23:56,960 --> 00:23:59,480 Speaker 1: Trump and pens could both be sick with the virus. 391 00:24:00,080 --> 00:24:04,480 Speaker 1: Lucy could declare them incapacitated in herself as president, while 392 00:24:04,520 --> 00:24:07,280 Speaker 1: Republicans in the White House might argue, no, they're still 393 00:24:07,320 --> 00:24:10,080 Speaker 1: capable of fulfilling the duties. And in that case you 394 00:24:10,119 --> 00:24:12,640 Speaker 1: wind up with a full blown constitutional crisis that would 395 00:24:12,640 --> 00:24:15,000 Speaker 1: probably be to be settle in court. But it's worth 396 00:24:15,080 --> 00:24:19,320 Speaker 1: it's worth stipulating. So far, President Vice President Mike Pence 397 00:24:19,760 --> 00:24:22,960 Speaker 1: has tested negative. The White House is saying, and Josh, 398 00:24:23,080 --> 00:24:25,720 Speaker 1: it appears to I guess, at least to me that 399 00:24:26,200 --> 00:24:30,439 Speaker 1: Vice President Pence has a good, uh strong relationship with 400 00:24:30,560 --> 00:24:33,800 Speaker 1: President Trump. Is that in fact the cases or a 401 00:24:33,840 --> 00:24:37,639 Speaker 1: sense that if there were to be a transfer of 402 00:24:37,640 --> 00:24:42,119 Speaker 1: power at least temporarily, that Vice President Pence is generally 403 00:24:42,600 --> 00:24:46,080 Speaker 1: well versed in much of the issues facing the president 404 00:24:46,480 --> 00:24:52,200 Speaker 1: during his term. Well, I think Pence has shown himself 405 00:24:52,280 --> 00:24:57,920 Speaker 1: willing to subordinate himself to Trump's desires pretty much, no 406 00:24:57,920 --> 00:25:02,000 Speaker 1: matter what they are, and so you wouldn't imagine that 407 00:25:02,119 --> 00:25:08,640 Speaker 1: Pence would make some sort of power grab against Trump's wishes. Um. 408 00:25:08,720 --> 00:25:12,560 Speaker 1: But but certainly there are are not implausible scenarios under 409 00:25:12,600 --> 00:25:17,879 Speaker 1: which Trump has to be uh sedated or undergo some 410 00:25:17,960 --> 00:25:21,440 Speaker 1: kind of a medical procedure, whether it's incubation something like that, 411 00:25:22,200 --> 00:25:25,000 Speaker 1: where Pence in the cabinet might feel that it's in 412 00:25:25,040 --> 00:25:28,320 Speaker 1: the best interests of Trump and the country to temporarily 413 00:25:28,359 --> 00:25:32,119 Speaker 1: transfer that power. But this this isn't something that we've 414 00:25:32,240 --> 00:25:36,119 Speaker 1: we've seen before. All previous transfers of power um for 415 00:25:36,280 --> 00:25:39,560 Speaker 1: medically related reason, tended to be things like colonoscopes and 416 00:25:39,640 --> 00:25:42,920 Speaker 1: things that could be scheduled, predicted and agreed to well 417 00:25:42,960 --> 00:25:46,960 Speaker 1: in advance, whereas this situation seems much more fluid. What 418 00:25:47,040 --> 00:25:50,080 Speaker 1: do you imagine campaigning will look like between now and 419 00:25:50,359 --> 00:25:54,479 Speaker 1: the election, Josh, I mean, if President Trump is you know, 420 00:25:54,800 --> 00:25:58,199 Speaker 1: quarantining and isolating in fact more than quarantining, because he 421 00:25:58,200 --> 00:26:01,960 Speaker 1: has a definite diagnosis, and if the former vice president 422 00:26:02,040 --> 00:26:06,680 Speaker 1: continues to test negative, presumably he can keep campaigning. Will 423 00:26:06,720 --> 00:26:09,280 Speaker 1: he take the opportunity to campaign way more than he 424 00:26:09,480 --> 00:26:13,920 Speaker 1: was ever expecting to the vice president? It's a good question. 425 00:26:13,920 --> 00:26:17,520 Speaker 1: I mean, we don't know whether or not he will quarantine. 426 00:26:17,520 --> 00:26:20,320 Speaker 1: I mean, he's certainly been exposed to the president as 427 00:26:20,400 --> 00:26:24,359 Speaker 1: recently as Tuesday. His office said, Um, you know, Hope Picks, 428 00:26:24,440 --> 00:26:28,919 Speaker 1: the President's close advisor, trust tested positive on Thursday. So 429 00:26:28,960 --> 00:26:32,720 Speaker 1: it's not entirely certain that Vice President Pence is out 430 00:26:32,720 --> 00:26:34,919 Speaker 1: of the clear, and I would I would think that 431 00:26:35,080 --> 00:26:40,520 Speaker 1: until that we're definitively established that he wouldn't be out campaigning. Um, 432 00:26:40,560 --> 00:26:44,080 Speaker 1: I don't know in a campaign sense whether whether Mike 433 00:26:44,119 --> 00:26:46,879 Speaker 1: Pence is quite the draw that Donald Trump is, But 434 00:26:46,960 --> 00:26:49,920 Speaker 1: in theory, if he continues to test negative, he could 435 00:26:49,920 --> 00:26:51,920 Speaker 1: go out and do some kind of his person campaigning. 436 00:26:52,280 --> 00:26:55,040 Speaker 1: As far as Trump, my guess is that he will 437 00:26:55,080 --> 00:26:58,879 Speaker 1: be even more active on Twitter, since that's really I 438 00:26:58,920 --> 00:27:01,280 Speaker 1: think the only venue has left if he's quarantined in 439 00:27:01,359 --> 00:27:04,479 Speaker 1: the White House. So it's Joshua that the President has 440 00:27:04,520 --> 00:27:06,800 Speaker 1: been very public in terms of being out there for 441 00:27:06,920 --> 00:27:11,560 Speaker 1: his campaign, rallies and so on, including less night here 442 00:27:11,640 --> 00:27:14,280 Speaker 1: in New Jersey. Um, what have you heard from the 443 00:27:14,280 --> 00:27:17,000 Speaker 1: White House? About you know, some of the that those issues. 444 00:27:18,320 --> 00:27:22,639 Speaker 1: The White House hasn't said anything about Trump continuing to campaign, 445 00:27:23,240 --> 00:27:25,800 Speaker 1: just that he's tested positive, that he is showing mild 446 00:27:25,880 --> 00:27:28,840 Speaker 1: symptoms and he's quarantined in the White House. The White 447 00:27:28,840 --> 00:27:30,800 Speaker 1: House Chief of Staff Mark Meadows came out a few 448 00:27:30,800 --> 00:27:34,240 Speaker 1: minutes ago, uh said that it confirmed that Trump is 449 00:27:34,280 --> 00:27:37,800 Speaker 1: exhibiting symptoms. Said he expects other White House staff to 450 00:27:37,840 --> 00:27:43,160 Speaker 1: test positive. So, Uh, it's hard to imagine a scenario 451 00:27:43,480 --> 00:27:46,040 Speaker 1: in which Donald Trump is out in person on the 452 00:27:46,119 --> 00:27:49,959 Speaker 1: campaign trail anytime in the next two weeks. Josh, I mean, 453 00:27:49,960 --> 00:27:52,080 Speaker 1: you can't answer this obviously, but it will be interesting 454 00:27:52,080 --> 00:27:54,560 Speaker 1: to see if the President continues to tweet or if 455 00:27:54,600 --> 00:27:57,480 Speaker 1: his phone gets taken away, because I mean, it probably 456 00:27:57,480 --> 00:28:01,800 Speaker 1: wouldn't be a good idea. People started looking at Twitter 457 00:28:01,840 --> 00:28:03,560 Speaker 1: and how often he tweets, and then if one day 458 00:28:03,560 --> 00:28:06,280 Speaker 1: he tweets less. You know, people jumped all sorts of conclusions. 459 00:28:06,400 --> 00:28:08,959 Speaker 1: It's very important for people around him to sort of 460 00:28:09,080 --> 00:28:13,560 Speaker 1: keep him in control these days, right I think so. 461 00:28:13,600 --> 00:28:16,880 Speaker 1: I mean, one of the one of the ongoing complaints 462 00:28:17,000 --> 00:28:20,159 Speaker 1: about Donald Trump in the White House from friends and 463 00:28:20,200 --> 00:28:22,760 Speaker 1: foes alike, that he spent too much time on Twitter, 464 00:28:22,880 --> 00:28:25,480 Speaker 1: too much time tweeting. I think now we're in a 465 00:28:25,520 --> 00:28:28,520 Speaker 1: condition where all the experts I've talked to said that 466 00:28:28,560 --> 00:28:32,360 Speaker 1: what's what's most important is to establish who is commander 467 00:28:32,359 --> 00:28:34,720 Speaker 1: in chief and then that person is out there, alert 468 00:28:34,800 --> 00:28:38,000 Speaker 1: and capable of doing the job. And so in that sense, 469 00:28:38,040 --> 00:28:40,880 Speaker 1: I think there might be some some reassurance if Trump 470 00:28:40,880 --> 00:28:44,280 Speaker 1: were uh to tweet and sort of tweet as himself, 471 00:28:44,880 --> 00:28:47,760 Speaker 1: uh and assure people, assure markets that you know, he is, 472 00:28:47,920 --> 00:28:50,480 Speaker 1: he is still in in charge, he's still in control, 473 00:28:51,160 --> 00:28:55,600 Speaker 1: he's still occupying the Oval office, and that these issues 474 00:28:55,880 --> 00:28:58,880 Speaker 1: of constitutional succession don't need to come into play. I 475 00:28:58,880 --> 00:29:02,000 Speaker 1: think I do think that would for a reassurance. And 476 00:29:02,040 --> 00:29:05,760 Speaker 1: so we'll have to do what I and and every 477 00:29:05,760 --> 00:29:07,840 Speaker 1: other White House reporter does and just sort of keep 478 00:29:07,840 --> 00:29:09,560 Speaker 1: our eyes on Twitter to see whether or not the 479 00:29:09,600 --> 00:29:11,560 Speaker 1: president tweets and what it is that he has to say. 480 00:29:12,280 --> 00:29:14,640 Speaker 1: Josh Green, thanks so much. We appreciate that as always. 481 00:29:14,680 --> 00:29:20,000 Speaker 1: Josh Green, Bloomberg Business Week National corresponded, thanks for listening 482 00:29:20,040 --> 00:29:23,360 Speaker 1: to Bloomberg Markets podcast. You can subscribe and listen to 483 00:29:23,440 --> 00:29:27,240 Speaker 1: interviews at Apple Podcasts or whatever podcast platform you prefer. 484 00:29:27,480 --> 00:29:30,480 Speaker 1: I'm Bonnie Quinn, I'm on Twitter at Bonnie Quinn, and 485 00:29:30,520 --> 00:29:33,120 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. Before 486 00:29:33,120 --> 00:29:36,000 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg 487 00:29:36,040 --> 00:29:36,320 Speaker 1: Radio