1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,600 Speaker 1: at Bloomberg dot com slash podcast. Five thousand jobs added 7 00:00:22,600 --> 00:00:25,000 Speaker 1: in the month of July. That got my attention this morning. 8 00:00:25,000 --> 00:00:27,960 Speaker 1: I think I got the markets attention as well. So 9 00:00:28,000 --> 00:00:29,360 Speaker 1: we need to break it down and we do that 10 00:00:29,440 --> 00:00:32,680 Speaker 1: with Tom Gimball, founder and CEO of LASAL Network, joins 11 00:00:32,720 --> 00:00:34,199 Speaker 1: us every month to help us get a handle on 12 00:00:34,240 --> 00:00:37,280 Speaker 1: what's going on out there in the jobs market. Tom, Wow, 13 00:00:37,840 --> 00:00:39,080 Speaker 1: I didn't see it that coming. I don't think the 14 00:00:39,080 --> 00:00:40,879 Speaker 1: market did as well. What do you see out there 15 00:00:40,880 --> 00:00:43,360 Speaker 1: as you talk to your clients. I see that there's 16 00:00:43,400 --> 00:00:46,440 Speaker 1: no recession. It may come, but it's becoming a self 17 00:00:46,440 --> 00:00:51,959 Speaker 1: fulfilling prophecy there If if there is no jobs problem 18 00:00:52,040 --> 00:00:55,400 Speaker 1: and unemployment is a historic lows, the economy is good 19 00:00:55,800 --> 00:00:59,400 Speaker 1: and I understand what two consecutive quarters of negative GDP 20 00:00:59,520 --> 00:01:04,040 Speaker 1: GDP growth means. However, we've never had it coming out 21 00:01:04,040 --> 00:01:06,120 Speaker 1: of a global pandemic. We've never had it in the 22 00:01:06,120 --> 00:01:09,480 Speaker 1: global economy. We've never had it with supply chain problems. 23 00:01:09,680 --> 00:01:11,800 Speaker 1: And for people to say that we are in a 24 00:01:11,880 --> 00:01:15,280 Speaker 1: recession or the economy at bad is purely trying to 25 00:01:15,319 --> 00:01:19,080 Speaker 1: mislead people for their own political agenda. Well that says it, 26 00:01:19,400 --> 00:01:23,440 Speaker 1: damn dude. Um, I agree with you, although I can 27 00:01:23,520 --> 00:01:25,760 Speaker 1: understand why people would. You know, a lot of people 28 00:01:25,920 --> 00:01:28,920 Speaker 1: just fall back on old definitions and it's difficult to 29 00:01:28,920 --> 00:01:33,400 Speaker 1: move them, um from those. So but after having seen 30 00:01:33,440 --> 00:01:36,240 Speaker 1: the kind of growth that that was showed in the 31 00:01:36,319 --> 00:01:39,480 Speaker 1: jobs report today, and you know, with three and a 32 00:01:39,520 --> 00:01:44,600 Speaker 1: half percent unemployment, clearly we're not in a recession. But 33 00:01:44,760 --> 00:01:46,360 Speaker 1: what do you think this means for the Fed? Are 34 00:01:46,400 --> 00:01:49,240 Speaker 1: they get Are they just free to let loose? Are 35 00:01:49,240 --> 00:01:51,880 Speaker 1: they gonna go seventy seventy Are we going to five 36 00:01:51,880 --> 00:01:55,160 Speaker 1: percent or we're going to six percent? Fed funds? Listen, 37 00:01:55,280 --> 00:01:58,800 Speaker 1: what we're gonna see happen with the Fed is they'll 38 00:01:58,840 --> 00:02:02,160 Speaker 1: probably do what pop Will said before this report, and 39 00:02:02,240 --> 00:02:05,360 Speaker 1: they'll probably only do fifty basis points and they'll see 40 00:02:05,400 --> 00:02:08,360 Speaker 1: that will be the in the exact same situation. And 41 00:02:08,400 --> 00:02:10,840 Speaker 1: then coming on the last tike of the year, they'll 42 00:02:10,840 --> 00:02:13,760 Speaker 1: either do another fifty or seventy five. And so we're 43 00:02:13,760 --> 00:02:16,600 Speaker 1: getting to a point that it's still gonna be below 44 00:02:16,680 --> 00:02:19,840 Speaker 1: where it was fifteen years ago, twenty years ago. I mean, 45 00:02:20,040 --> 00:02:23,120 Speaker 1: people act like because we were having free money for 46 00:02:23,200 --> 00:02:26,000 Speaker 1: so long that that's the norm. That wasn't the norm. 47 00:02:26,040 --> 00:02:28,920 Speaker 1: It was an artificial stimulant. And now with the economy 48 00:02:29,000 --> 00:02:32,160 Speaker 1: is showing us is that it doesn't need zero percent 49 00:02:32,240 --> 00:02:36,360 Speaker 1: interest rates to grow. Interesting, if you know, it's I 50 00:02:36,360 --> 00:02:38,359 Speaker 1: guess the question for a lot of folks and Tom, 51 00:02:38,400 --> 00:02:41,000 Speaker 1: you see this every day you talk to your clients 52 00:02:41,040 --> 00:02:43,799 Speaker 1: that are hats are trying to define people? Is there? 53 00:02:44,639 --> 00:02:47,120 Speaker 1: I guess what are you hearing from your employers that 54 00:02:47,200 --> 00:02:50,360 Speaker 1: you talk with. I mean, where are the real challenges 55 00:02:50,600 --> 00:02:53,919 Speaker 1: in finding people? Because boy, it looks like it's still 56 00:02:55,000 --> 00:02:58,120 Speaker 1: employees marketing well and firm some pockets. Uh, this was 57 00:02:58,160 --> 00:03:00,880 Speaker 1: a disappointing report, Paul, and I have a bank of 58 00:03:00,919 --> 00:03:03,519 Speaker 1: screens up here. I'm looking at Fox News. Their headline 59 00:03:03,600 --> 00:03:08,320 Speaker 1: is white House MSS forecast on lower July jobs growth. 60 00:03:08,600 --> 00:03:12,880 Speaker 1: So for Fox this is a super weak report. Yeah. Well, 61 00:03:13,080 --> 00:03:14,800 Speaker 1: and I think that goes back to what I said, 62 00:03:14,919 --> 00:03:17,120 Speaker 1: right is depending on on how things come and what 63 00:03:17,200 --> 00:03:20,280 Speaker 1: the narrative is is people have their own political agenda 64 00:03:20,320 --> 00:03:23,480 Speaker 1: and listen, I agree that Fox headline is ridiculous and 65 00:03:23,520 --> 00:03:25,240 Speaker 1: it's been the same way on the other way. I'm 66 00:03:25,320 --> 00:03:28,240 Speaker 1: I'm a capitalist, I'm not a political person. And when 67 00:03:28,280 --> 00:03:30,880 Speaker 1: I look at these things happen. What I'm talking to 68 00:03:30,919 --> 00:03:34,080 Speaker 1: my clients about they can't find people, so what are 69 00:03:34,080 --> 00:03:37,000 Speaker 1: they doing. What we're seeing is you're coming out of 70 00:03:37,000 --> 00:03:40,000 Speaker 1: the summer with recent college graduates being hired. So that 71 00:03:40,160 --> 00:03:42,400 Speaker 1: is a huge part where the summer numbers tend to 72 00:03:42,400 --> 00:03:45,280 Speaker 1: be better and they're gonna hire people right out of college. 73 00:03:45,400 --> 00:03:48,400 Speaker 1: We see the participation rate continue to go up, not 74 00:03:48,440 --> 00:03:50,880 Speaker 1: always by how much we want it to be. However, 75 00:03:51,160 --> 00:03:53,840 Speaker 1: there's a certain percentage of the market that is unemployable 76 00:03:54,040 --> 00:03:56,880 Speaker 1: that no politician will ever talk about because it's not 77 00:03:56,920 --> 00:04:00,680 Speaker 1: a popular view. And when we're moving forward on these things, 78 00:04:00,720 --> 00:04:03,800 Speaker 1: we see that unemployment is that historic lows. And what 79 00:04:03,840 --> 00:04:07,360 Speaker 1: are companies doing? Hey, it's a global economy. They're off shoring. 80 00:04:08,200 --> 00:04:12,080 Speaker 1: So many companies, whether it's manufacturing or technology, have people 81 00:04:12,080 --> 00:04:16,320 Speaker 1: in Eastern Europe, in Asia, in South America. I talked 82 00:04:16,320 --> 00:04:18,839 Speaker 1: to a company that's in the creative web design space, 83 00:04:18,839 --> 00:04:21,960 Speaker 1: a big company, UM, and they were saying how they 84 00:04:22,000 --> 00:04:25,440 Speaker 1: have a company that they bought in South America that's 85 00:04:25,480 --> 00:04:28,440 Speaker 1: doing creative work and digital work for them. It's not 86 00:04:28,560 --> 00:04:32,000 Speaker 1: just the stereotypical off shoing a call center to India 87 00:04:32,200 --> 00:04:34,640 Speaker 1: or having developers in Eastern Europe. We live in a 88 00:04:34,640 --> 00:04:37,960 Speaker 1: global economy and it's happening. So companies are hiring people 89 00:04:38,040 --> 00:04:41,760 Speaker 1: here in lower entry level jobs, sometimes outsourcing mid to 90 00:04:41,839 --> 00:04:45,200 Speaker 1: higher level jobs or vice versa. What we live in 91 00:04:45,279 --> 00:04:48,600 Speaker 1: is the greatest entrepreneurial country the world's ever seen. They 92 00:04:48,640 --> 00:04:51,760 Speaker 1: come up with solutions to solve their problems, the problem 93 00:04:51,839 --> 00:04:54,640 Speaker 1: with jobs, they're figuring out how to restaff It's it's 94 00:04:54,680 --> 00:04:58,360 Speaker 1: really a great story. It is. It is a fascinating, 95 00:04:58,640 --> 00:05:03,760 Speaker 1: uh story. And just I'm moved by this job's report. 96 00:05:03,960 --> 00:05:07,960 Speaker 1: I just really got me going. And the question is, um, 97 00:05:08,240 --> 00:05:13,440 Speaker 1: you know how much longer can inflation hold at this level? Now? Um? 98 00:05:13,560 --> 00:05:16,120 Speaker 1: Does it hold longer if we get good jobs reports? 99 00:05:16,160 --> 00:05:18,920 Speaker 1: Because Paul noted the forecast for cp I is eight 100 00:05:18,920 --> 00:05:24,479 Speaker 1: point seven percent. The situation is everybody, and I love 101 00:05:24,520 --> 00:05:27,719 Speaker 1: you guys, You're great. We're on every month, everybody's looking 102 00:05:27,760 --> 00:05:30,719 Speaker 1: to be chicken little lends. The stuff gonna fall. And 103 00:05:30,760 --> 00:05:33,839 Speaker 1: I'm not saying that we shouldn't plan, but sometimes you 104 00:05:33,880 --> 00:05:36,640 Speaker 1: have to enjoy your time at beat instead of always 105 00:05:36,640 --> 00:05:38,839 Speaker 1: packing up your stuff to leave if it's gonna rain. 106 00:05:39,279 --> 00:05:42,480 Speaker 1: And right, we've got a really good situation. Yeah, we've 107 00:05:42,520 --> 00:05:44,960 Speaker 1: got a good, good labor market. And Tom, you see 108 00:05:44,960 --> 00:05:49,080 Speaker 1: it firsthand on the ground there at as a founder 109 00:05:49,080 --> 00:05:51,920 Speaker 1: and CEO of less Out Network. Again, Tom Gibbill given 110 00:05:51,960 --> 00:05:55,000 Speaker 1: us some good perspective on what is just an extraordinarily 111 00:05:55,120 --> 00:05:58,960 Speaker 1: strong labor data point we got today that you can 112 00:05:59,160 --> 00:06:01,840 Speaker 1: certainly bet set of reserves taking a look at this 113 00:06:01,920 --> 00:06:08,279 Speaker 1: is Bloomberg. Our next guest, Jack Altman, CEO and co 114 00:06:08,400 --> 00:06:12,200 Speaker 1: founder of Lattice. Uh put some people to work and 115 00:06:12,240 --> 00:06:15,240 Speaker 1: that's good stuff there. I noticed that Jack former analysts 116 00:06:15,240 --> 00:06:17,479 Speaker 1: that Gleacher and company. That brings back some memories for me, 117 00:06:17,680 --> 00:06:20,640 Speaker 1: Eric Leacher talk about one of the mega big m 118 00:06:20,720 --> 00:06:24,039 Speaker 1: and a bank back in the day. Huge cool stuff there. Hey, Jack, 119 00:06:24,080 --> 00:06:26,320 Speaker 1: you're Atlattice. Now tell us what you guys are doing 120 00:06:26,520 --> 00:06:28,920 Speaker 1: at Lattice and talk to us about the environment you're 121 00:06:28,920 --> 00:06:32,200 Speaker 1: seeing right now. Yeah, thanks for having me Atlantics. We 122 00:06:32,279 --> 00:06:35,039 Speaker 1: make software to help companies do people management. So we 123 00:06:35,080 --> 00:06:39,520 Speaker 1: do things like performance management, employee surveys, career development, and 124 00:06:39,640 --> 00:06:42,360 Speaker 1: our lens on the world has been that modern companies 125 00:06:42,440 --> 00:06:45,440 Speaker 1: need to be employee cund trick, and so companies need 126 00:06:45,480 --> 00:06:48,720 Speaker 1: to work to give employees great experiences and that that's 127 00:06:48,720 --> 00:06:51,280 Speaker 1: going to translate into great business results. And so we're 128 00:06:51,320 --> 00:06:54,719 Speaker 1: kind of trying to reimagine every HR practice to you know, 129 00:06:54,880 --> 00:06:59,440 Speaker 1: fit a world where companies put people first. How tough 130 00:06:59,520 --> 00:07:01,880 Speaker 1: is it out? I mean, I don't know. I used 131 00:07:01,880 --> 00:07:03,680 Speaker 1: to manage a lot of people here a Bloomberg and 132 00:07:04,160 --> 00:07:06,880 Speaker 1: you know, it's a challenge, and I think in the 133 00:07:06,960 --> 00:07:10,640 Speaker 1: pandemic here maybe even more pronounced here because employees have 134 00:07:10,720 --> 00:07:14,520 Speaker 1: different needs, uh, they have different desires, they value things differently. 135 00:07:14,520 --> 00:07:15,960 Speaker 1: Now I want to work from home. They want to 136 00:07:15,960 --> 00:07:18,800 Speaker 1: work from home, the hybrid. They want to have special 137 00:07:19,520 --> 00:07:23,640 Speaker 1: meaning in their role. How is that evolved in life? Yeah, exactly, Yeah, 138 00:07:23,760 --> 00:07:25,840 Speaker 1: those are great points. I think all of those things 139 00:07:25,880 --> 00:07:29,160 Speaker 1: are challenging, right. You mentioned remote which is a very 140 00:07:29,200 --> 00:07:32,320 Speaker 1: hard thing to navigate. You mentioned the fact that employees 141 00:07:32,440 --> 00:07:35,600 Speaker 1: want so much from work in terms of meaning and purpose, 142 00:07:36,200 --> 00:07:39,080 Speaker 1: and then we've also just frankly been in a macroeconomic 143 00:07:39,160 --> 00:07:41,840 Speaker 1: environment for the last couple of years where employees have 144 00:07:41,920 --> 00:07:45,400 Speaker 1: had a sort of a record high amount of power 145 00:07:45,520 --> 00:07:47,560 Speaker 1: in the work relationship, and so as an employer, a 146 00:07:47,600 --> 00:07:49,600 Speaker 1: lot of people have been kind of scratching their heads 147 00:07:49,640 --> 00:07:52,200 Speaker 1: between all of this, saying, gosh, this is it's so 148 00:07:52,360 --> 00:07:54,480 Speaker 1: challenging to hire, but I don't have people in the office. 149 00:07:54,520 --> 00:07:57,000 Speaker 1: I can't build those trusting relationships. People want more from 150 00:07:57,080 --> 00:07:58,600 Speaker 1: us than ever, but it feels like they can go 151 00:07:58,640 --> 00:08:00,680 Speaker 1: get fifteen jobs if they walk out the building tomorrow. 152 00:08:00,720 --> 00:08:03,760 Speaker 1: So it has been a really challenging period and people 153 00:08:03,760 --> 00:08:06,480 Speaker 1: have had to rethink the way that they do management 154 00:08:06,600 --> 00:08:08,760 Speaker 1: to sort of stay on top of it. What do 155 00:08:08,840 --> 00:08:14,400 Speaker 1: you expect from uh new hires? I mean when I 156 00:08:14,440 --> 00:08:16,840 Speaker 1: was a kid, you would go work for a firm 157 00:08:16,840 --> 00:08:19,040 Speaker 1: and stay there forever. I think my family might be 158 00:08:19,160 --> 00:08:22,080 Speaker 1: secretly Japanese, but um, you know, I've been here for 159 00:08:22,160 --> 00:08:26,680 Speaker 1: twenty two near twenty three years. But the kids who 160 00:08:26,720 --> 00:08:29,440 Speaker 1: come in they don't expect to stay longer than two years. 161 00:08:29,480 --> 00:08:32,959 Speaker 1: They're just bouncing around back and forth. Um. Is that 162 00:08:33,360 --> 00:08:36,920 Speaker 1: difficult to deal with or is it acceptable? It is 163 00:08:36,960 --> 00:08:40,000 Speaker 1: difficult to deal with there's benefits to it. There's there's 164 00:08:40,040 --> 00:08:41,920 Speaker 1: things about the change that are positive, right, Like you 165 00:08:41,960 --> 00:08:44,160 Speaker 1: mentioned how I worked at Cleature, which is, you know, 166 00:08:44,200 --> 00:08:46,640 Speaker 1: an investment bank when I first got out of college. 167 00:08:47,000 --> 00:08:49,240 Speaker 1: I learned a lot there. But the hours and the 168 00:08:49,280 --> 00:08:51,960 Speaker 1: work we're you know, extraordinarily grueling, you know, over a 169 00:08:52,000 --> 00:08:53,520 Speaker 1: hundred hours a week. I don't think that was the 170 00:08:53,559 --> 00:08:56,839 Speaker 1: optimal either. But you know, I tweeted something recently and 171 00:08:56,960 --> 00:09:00,280 Speaker 1: basically saying that I don't think we're doing young Bowl 172 00:09:00,600 --> 00:09:04,920 Speaker 1: favors by promising anything other than hard work if you 173 00:09:04,920 --> 00:09:07,280 Speaker 1: want to accomplish big things. And so I do think 174 00:09:07,280 --> 00:09:10,120 Speaker 1: that the pendulum can swing too far, and that to 175 00:09:10,280 --> 00:09:13,599 Speaker 1: get to sort of the proficiency and the excellence in 176 00:09:13,679 --> 00:09:16,280 Speaker 1: any skill that's needed to really accomplish a lot, I 177 00:09:16,320 --> 00:09:20,280 Speaker 1: do think that requires a sustained effort over a long 178 00:09:20,320 --> 00:09:21,920 Speaker 1: period of time. And you know, when you're just starting 179 00:09:21,920 --> 00:09:24,120 Speaker 1: out in your career, that looks different than when you're 180 00:09:24,200 --> 00:09:26,080 Speaker 1: ten or twenty or thirty years into your career. And 181 00:09:26,120 --> 00:09:28,800 Speaker 1: so I think there's a balance. I think I think 182 00:09:28,880 --> 00:09:31,760 Speaker 1: finding the middle ground and finding sort of the essence 183 00:09:31,760 --> 00:09:34,679 Speaker 1: of what's required and then trying to help people design 184 00:09:34,720 --> 00:09:36,440 Speaker 1: good lives around that. But I think I think we 185 00:09:36,440 --> 00:09:38,520 Speaker 1: need a middle ground on a lot of that check. 186 00:09:38,559 --> 00:09:40,200 Speaker 1: You know, I maybe my care is a little bit 187 00:09:40,200 --> 00:09:41,840 Speaker 1: similar to years. You know, I spent most of my 188 00:09:41,880 --> 00:09:44,720 Speaker 1: career on Wall Street, and and I think about on 189 00:09:44,760 --> 00:09:46,839 Speaker 1: all the firms I've worked at, and unlike Matt, I've 190 00:09:46,840 --> 00:09:50,120 Speaker 1: bounced around to the highest paycheck, but no, no loyalty 191 00:09:50,240 --> 00:09:53,520 Speaker 1: whatsoever other than to my bank account. It sounds terrible 192 00:09:53,520 --> 00:09:56,000 Speaker 1: to say, that's kind of how my generation was. But 193 00:09:56,040 --> 00:09:58,040 Speaker 1: you never had a boss like this, No, I did not. 194 00:09:58,120 --> 00:10:01,160 Speaker 1: You're exactly right, um. But one of the things is 195 00:10:01,640 --> 00:10:06,240 Speaker 1: the office environment, the relationships that helps you foster you know, 196 00:10:06,280 --> 00:10:09,240 Speaker 1: working those long hours, traveling, doing all those things together 197 00:10:09,280 --> 00:10:11,480 Speaker 1: as a team. And when I think about back to 198 00:10:11,559 --> 00:10:13,640 Speaker 1: all the firms I worked at, it's the people, it's 199 00:10:13,679 --> 00:10:16,600 Speaker 1: not you know, and those are formed by being together. 200 00:10:17,640 --> 00:10:19,800 Speaker 1: How do you do that in this environment where many 201 00:10:19,840 --> 00:10:22,080 Speaker 1: of the people are working from home or a hybrid 202 00:10:22,160 --> 00:10:26,920 Speaker 1: at best. I think two things. One is, I think 203 00:10:26,960 --> 00:10:30,160 Speaker 1: there are things you can do to still build relationships remotely, 204 00:10:30,400 --> 00:10:33,120 Speaker 1: and so I think you can you can create some 205 00:10:33,200 --> 00:10:35,280 Speaker 1: of that. You can also get teams together in person 206 00:10:35,360 --> 00:10:38,400 Speaker 1: periodically for off sites and trips, and you can make 207 00:10:38,400 --> 00:10:41,440 Speaker 1: those memories. But on the other hand, what you're saying 208 00:10:41,640 --> 00:10:46,600 Speaker 1: is directionally true, and I think people running companies remotely 209 00:10:46,640 --> 00:10:49,680 Speaker 1: need to acknowledge that the strength of the relationships inside 210 00:10:49,720 --> 00:10:52,040 Speaker 1: the company are not going to be equivalent to what 211 00:10:52,080 --> 00:10:54,280 Speaker 1: you have if people work together forty hours a week 212 00:10:54,320 --> 00:10:56,640 Speaker 1: in the office. And that's just sort of like a 213 00:10:56,640 --> 00:10:58,880 Speaker 1: fact of human nature and reality. And so that doesn't 214 00:10:58,920 --> 00:11:01,079 Speaker 1: mean that it's impossible to in the good company that way, 215 00:11:01,440 --> 00:11:03,480 Speaker 1: but it means that you have to redesign the way 216 00:11:03,480 --> 00:11:06,680 Speaker 1: a company operates because you don't have this inherent trust 217 00:11:06,679 --> 00:11:09,160 Speaker 1: and relationship layer to nearly the same extent that you 218 00:11:09,200 --> 00:11:11,360 Speaker 1: do if everybody's in the office. So I think you 219 00:11:11,400 --> 00:11:13,719 Speaker 1: can do some things to work towards it, but fundamentally, 220 00:11:13,720 --> 00:11:15,640 Speaker 1: I think trying to pretend like you're going to have 221 00:11:15,679 --> 00:11:18,680 Speaker 1: the same relationships is just a bad idea. Just thirty 222 00:11:18,679 --> 00:11:23,760 Speaker 1: seconds here, Jack, But inflation is high, obviously, and people 223 00:11:23,800 --> 00:11:26,320 Speaker 1: want to get paid enough to keep up with it. 224 00:11:26,600 --> 00:11:30,360 Speaker 1: How hard is that? Well interestingly at least, so you know, 225 00:11:30,520 --> 00:11:32,559 Speaker 1: just knowing our own rule corner of the role. In tech, 226 00:11:32,679 --> 00:11:37,560 Speaker 1: we saw compensation bands rise unbelievably in the last eighteen 227 00:11:37,600 --> 00:11:41,400 Speaker 1: months far stripping outflation. And so despite the fact that 228 00:11:41,440 --> 00:11:44,120 Speaker 1: inflation is you know, up almost you know, double digits, 229 00:11:44,960 --> 00:11:48,640 Speaker 1: compensation across tech and most pay bions has gone up 230 00:11:48,640 --> 00:11:51,960 Speaker 1: by more than that. So I think for various reasons, 231 00:11:52,080 --> 00:11:55,560 Speaker 1: tech has enjoyed so much benefit from the pandemic that 232 00:11:55,640 --> 00:11:57,360 Speaker 1: it's worked out so far. But we'll see how that 233 00:11:57,360 --> 00:11:59,680 Speaker 1: plays over time. Alright, Jack, great stuff. I really appreciate 234 00:11:59,720 --> 00:12:02,360 Speaker 1: getting your perspective there. That was really interesting, Jack Altman, 235 00:12:02,800 --> 00:12:09,400 Speaker 1: CEO and co founder of Lattice. Let's talk supply chain, 236 00:12:09,440 --> 00:12:12,960 Speaker 1: one of our favorite topics here at Bloomberg Markets. Mario 237 00:12:13,000 --> 00:12:18,040 Speaker 1: Herrick joins us. He's chief information officer for XPO Logistics. 238 00:12:18,080 --> 00:12:21,440 Speaker 1: If you don't know them, they touched you probably most weeks, 239 00:12:21,480 --> 00:12:24,839 Speaker 1: most days. There are big logistics firms. Publicly traded company 240 00:12:24,880 --> 00:12:29,120 Speaker 1: six point nine billion market cap. Xp O is the 241 00:12:29,320 --> 00:12:35,960 Speaker 1: ticker um employees based in Greenwich, Connecticut. How about that Greenwich? Yeah? Right? 242 00:12:36,040 --> 00:12:37,960 Speaker 1: Is that how you pronounce it? All? Right? Mario talked 243 00:12:37,960 --> 00:12:40,520 Speaker 1: to us about this supply chain. You guys at XPO 244 00:12:40,800 --> 00:12:44,200 Speaker 1: are in all parts of it. I think trucking, I think, 245 00:12:44,600 --> 00:12:48,200 Speaker 1: you know, just logistics moving stuff around. Give us a 246 00:12:48,200 --> 00:12:51,040 Speaker 1: sense of kind of how we got into this logistics 247 00:12:51,080 --> 00:12:54,280 Speaker 1: supply chain nightmare, if if you will, and kind of 248 00:12:54,320 --> 00:12:59,040 Speaker 1: where are we in terms of getting yourselves out of it? Yeah, 249 00:12:59,240 --> 00:13:01,560 Speaker 1: you got its first. Thanks, thanks so much for having 250 00:13:01,559 --> 00:13:05,439 Speaker 1: beyond guys. When we think about the overall supply chains 251 00:13:05,440 --> 00:13:08,360 Speaker 1: and moving goods, it's a combination of having, you know, 252 00:13:08,360 --> 00:13:10,480 Speaker 1: how many people you have moving the goods, how much 253 00:13:10,520 --> 00:13:13,200 Speaker 1: equipment you have to move the goods, and versus what 254 00:13:13,320 --> 00:13:16,840 Speaker 1: kind of demands you're seeing from customers now when in 255 00:13:16,880 --> 00:13:20,560 Speaker 1: a post pandemic world that was strengthened sending demand in 256 00:13:20,679 --> 00:13:24,360 Speaker 1: terms of consumers buying more and more products getting moved, 257 00:13:25,000 --> 00:13:28,840 Speaker 1: and in supply chains put hold with less people and 258 00:13:28,920 --> 00:13:30,960 Speaker 1: less equipment as well. So when you think about the 259 00:13:30,960 --> 00:13:33,880 Speaker 1: ship shortage, as an example of impacting oh EM is 260 00:13:33,920 --> 00:13:37,079 Speaker 1: being able to produce strugs and that combination of high 261 00:13:37,160 --> 00:13:41,600 Speaker 1: demand and lower supply of capacity obviously impacted supply chains 262 00:13:41,640 --> 00:13:48,199 Speaker 1: globally by the way um has shipping, has logistics been 263 00:13:48,240 --> 00:13:51,000 Speaker 1: a problem in terms of had problems in terms of 264 00:13:51,040 --> 00:13:54,880 Speaker 1: scarcity of vehicles? I mean has that impacted your your 265 00:13:54,920 --> 00:13:58,000 Speaker 1: business as well? Yeah? That that also trying to get 266 00:13:58,040 --> 00:14:02,920 Speaker 1: pacity perspective. The truck manufacturers, though we am we're challenge 267 00:14:02,920 --> 00:14:06,320 Speaker 1: in terms of them being able to produce a capacity, 268 00:14:06,360 --> 00:14:10,160 Speaker 1: which also impacted that where we are now a lot 269 00:14:10,160 --> 00:14:12,959 Speaker 1: of these things are starting to normalize. So what you're 270 00:14:13,000 --> 00:14:16,000 Speaker 1: seeing is that you obviously have more people going back 271 00:14:16,000 --> 00:14:19,440 Speaker 1: into the workforce. We are investing more capital in the 272 00:14:19,480 --> 00:14:23,400 Speaker 1: business where effectively we have a company's specific edge where 273 00:14:23,440 --> 00:14:26,360 Speaker 1: we also produce our own trailers because the other form 274 00:14:26,400 --> 00:14:29,800 Speaker 1: of equipment is trailers. And this year we're planning on 275 00:14:30,040 --> 00:14:33,800 Speaker 1: double link the production of trailers compared to last year 276 00:14:34,280 --> 00:14:37,120 Speaker 1: by producing more trailers so we can move more more goods. 277 00:14:37,400 --> 00:14:41,000 Speaker 1: But I'm sure I'm assuming that demand hasn't stabilized, right. 278 00:14:41,120 --> 00:14:45,800 Speaker 1: You're still seeing massive demand, so demand has been mixed 279 00:14:45,840 --> 00:14:50,000 Speaker 1: from customers overall. Some customers we're seeing stronger demands from 280 00:14:50,520 --> 00:14:53,280 Speaker 1: today in our less than truckload business, and that's the 281 00:14:53,280 --> 00:14:56,680 Speaker 1: business that that I run. We have seen for industrial 282 00:14:56,760 --> 00:15:01,280 Speaker 1: customers strengthened demand in some cases where are seeing more 283 00:15:01,360 --> 00:15:04,680 Speaker 1: products flow into their supply chain where they can actually 284 00:15:04,840 --> 00:15:08,040 Speaker 1: move more products for their customers, which leads to more shipping. 285 00:15:08,720 --> 00:15:11,360 Speaker 1: And you have some customers where they're seeing faster than 286 00:15:11,400 --> 00:15:14,520 Speaker 1: the and they you know, they're obviously shipping less. But 287 00:15:14,640 --> 00:15:17,360 Speaker 1: for us, we have a lot of sales momentum where 288 00:15:17,360 --> 00:15:20,480 Speaker 1: we are on boarding new customers, we are investing more 289 00:15:20,560 --> 00:15:24,120 Speaker 1: in our business. We are graduating more drivers, and we 290 00:15:24,160 --> 00:15:27,040 Speaker 1: are on boarding new customers so we can get get 291 00:15:27,080 --> 00:15:29,720 Speaker 1: more trade moved and the like our customers with our 292 00:15:29,760 --> 00:15:32,840 Speaker 1: service explain you say it's a business. You run the 293 00:15:32,920 --> 00:15:36,960 Speaker 1: lesson truckload um business. That's because you spun off your 294 00:15:37,200 --> 00:15:40,320 Speaker 1: truck brokerage business and you're focused fully on what is 295 00:15:40,440 --> 00:15:44,920 Speaker 1: less than truckload freighter. Yeah, let's let's sand truckload. I 296 00:15:44,960 --> 00:15:48,120 Speaker 1: think of it as being whenever shippers are moving things 297 00:15:48,120 --> 00:15:51,320 Speaker 1: that are larger than parcel, so larger than a small 298 00:15:51,400 --> 00:15:54,440 Speaker 1: box box, but where they don't have enough trade to 299 00:15:54,520 --> 00:15:57,880 Speaker 1: fill a full truck. And we have a terminal network 300 00:15:57,920 --> 00:16:00,760 Speaker 1: of two hundred and ninety four terminals, and we covered 301 00:16:00,880 --> 00:16:04,680 Speaker 1: coast to coast of all zip codes where we can 302 00:16:04,760 --> 00:16:07,040 Speaker 1: pick up one pallette of freight for the shipper from 303 00:16:07,040 --> 00:16:09,800 Speaker 1: one city, we can solidated with other shippers freight we 304 00:16:09,880 --> 00:16:11,840 Speaker 1: moved across the country, and then we do a local 305 00:16:11,840 --> 00:16:16,239 Speaker 1: deliverty for that for that pallet lesting truckload versus truckload 306 00:16:16,360 --> 00:16:18,760 Speaker 1: t L so LTL. See. I learned stuff back in 307 00:16:18,760 --> 00:16:20,360 Speaker 1: the day when I was covering the rails and trucks, 308 00:16:20,480 --> 00:16:23,400 Speaker 1: and it's like so complex if you think about it, right, 309 00:16:23,440 --> 00:16:27,880 Speaker 1: that's why you're filling an eighteen wheeler with stuff from 310 00:16:27,920 --> 00:16:30,720 Speaker 1: different maybe ten or twenty different companies. Yeah, yeah, it's 311 00:16:30,800 --> 00:16:34,200 Speaker 1: it's really it's the backbone of logistics in this country. 312 00:16:34,280 --> 00:16:38,040 Speaker 1: So you know, we had marriage today's job's day here 313 00:16:38,120 --> 00:16:39,680 Speaker 1: on Wall Street to here a Bloomberg, and we had 314 00:16:39,680 --> 00:16:42,720 Speaker 1: a really strong jobs number, a lot more jobs added 315 00:16:42,760 --> 00:16:45,240 Speaker 1: to the economy than expected. And that kind of brings 316 00:16:45,360 --> 00:16:47,640 Speaker 1: to mind one of the challenges I know in your business, 317 00:16:47,680 --> 00:16:51,920 Speaker 1: the trucking business, it's almost possible to keep truckers. Uh 318 00:16:51,960 --> 00:16:54,480 Speaker 1: there there's a high turnover. Talk to us about how 319 00:16:54,520 --> 00:16:57,960 Speaker 1: your business is right now, Yeah, you got it. So first, 320 00:16:58,000 --> 00:17:02,440 Speaker 1: our our drivers are one of the most important parts 321 00:17:02,440 --> 00:17:05,480 Speaker 1: of our workforce. There are folks who and I'm thankful 322 00:17:05,560 --> 00:17:07,920 Speaker 1: for every one of our drivers. And we have more 323 00:17:07,920 --> 00:17:11,440 Speaker 1: than thirteen thousand drivers who move freight for our customers 324 00:17:11,440 --> 00:17:14,280 Speaker 1: across across the network. And what we have done is 325 00:17:14,320 --> 00:17:17,359 Speaker 1: that we have a hundred and thirty locations where we 326 00:17:17,480 --> 00:17:20,879 Speaker 1: train our own drivers, where we paid their wages as 327 00:17:20,880 --> 00:17:23,280 Speaker 1: they're going through the training program, and then they can 328 00:17:23,359 --> 00:17:25,919 Speaker 1: join our ranks as the drive who move who move 329 00:17:26,000 --> 00:17:29,239 Speaker 1: freight for our customers. And this year we're planning on 330 00:17:29,400 --> 00:17:33,280 Speaker 1: doubling the number of drivers were graduating and to join 331 00:17:33,320 --> 00:17:35,520 Speaker 1: our ranks. What kind of training are we talking about, 332 00:17:35,560 --> 00:17:38,520 Speaker 1: because this is like, I don't know why I dreamt 333 00:17:38,520 --> 00:17:41,159 Speaker 1: about it since I was a kid, just it seems 334 00:17:41,200 --> 00:17:43,399 Speaker 1: like the perfect job for me, you know, chasing that 335 00:17:43,760 --> 00:17:48,680 Speaker 1: long white line. Yeah, listen, it is an amazing job. 336 00:17:48,720 --> 00:17:50,800 Speaker 1: I spend a lot of time in our terminals and 337 00:17:50,840 --> 00:17:52,920 Speaker 1: I get to meet a lot of our drivers. There's 338 00:17:53,000 --> 00:17:55,200 Speaker 1: some salt of the years people. They really keep our 339 00:17:55,280 --> 00:17:58,000 Speaker 1: economy and the whole country moving. But the training that 340 00:17:58,080 --> 00:18:02,240 Speaker 1: we do is effectively a where they earned the CDM license. 341 00:18:02,640 --> 00:18:04,840 Speaker 1: So effectively, it's a seven week training. So you can 342 00:18:04,880 --> 00:18:07,040 Speaker 1: imagine if you're a dog worker with us, or you're 343 00:18:07,080 --> 00:18:09,760 Speaker 1: somebody coming from outside the company would like to earn 344 00:18:09,800 --> 00:18:12,879 Speaker 1: a CDL license. We train you both in the classroom 345 00:18:13,000 --> 00:18:15,240 Speaker 1: and on the road training, but at the end of it, 346 00:18:15,320 --> 00:18:18,280 Speaker 1: you would only CDL a license and you can actually 347 00:18:18,359 --> 00:18:21,200 Speaker 1: drive one of those large semis and then move freight 348 00:18:21,520 --> 00:18:24,720 Speaker 1: for our customers. Just some of the calves also are 349 00:18:25,040 --> 00:18:27,520 Speaker 1: so awesome and you can have a whole set up 350 00:18:27,560 --> 00:18:29,480 Speaker 1: in there with a bed and a computer and a 351 00:18:29,560 --> 00:18:33,280 Speaker 1: TV and yep, it's but again it's a tough, tough 352 00:18:33,359 --> 00:18:35,200 Speaker 1: drib you're away from you to bring your dog along 353 00:18:35,200 --> 00:18:38,879 Speaker 1: with you exactly. But but I'll tell you, guys, for us, 354 00:18:38,960 --> 00:18:42,120 Speaker 1: because we're in less than truckload, our drivers sleep at 355 00:18:42,160 --> 00:18:45,560 Speaker 1: home every single Day's effectively, that's the that's a big 356 00:18:45,600 --> 00:18:48,199 Speaker 1: benefit for our drivers in terms of being able to 357 00:18:48,840 --> 00:18:50,359 Speaker 1: in terms of being able again to be at home. 358 00:18:50,680 --> 00:18:52,199 Speaker 1: Who do you hand it off to then? For the 359 00:18:52,240 --> 00:18:55,560 Speaker 1: long haul? So, because we have two hundred and ninety 360 00:18:55,560 --> 00:18:59,000 Speaker 1: four terminals, so when we move freight between our terminals, 361 00:18:59,320 --> 00:19:02,680 Speaker 1: each drive drives at most two hundred and fifty miles 362 00:19:02,680 --> 00:19:05,240 Speaker 1: one way, and then they hand off the favor either 363 00:19:05,280 --> 00:19:08,280 Speaker 1: to any terminal or they handed off to another driver 364 00:19:08,400 --> 00:19:10,240 Speaker 1: that can move the rest of the phrase on his 365 00:19:10,400 --> 00:19:12,399 Speaker 1: on his path to the customer. You have a preferred 366 00:19:12,440 --> 00:19:15,920 Speaker 1: supplier in terms of the actual tractor, I mean the 367 00:19:15,920 --> 00:19:19,240 Speaker 1: the big rig. Do you go with BOTHO Peter Bill 368 00:19:19,520 --> 00:19:23,200 Speaker 1: mac today today we used to two o E M 369 00:19:23,280 --> 00:19:26,600 Speaker 1: s and our and our fleet. One of them is 370 00:19:26,600 --> 00:19:30,000 Speaker 1: straight Liner is our primary o EM, and we have 371 00:19:30,080 --> 00:19:35,280 Speaker 1: a great relationship with them. They produced fantastic trucks. That's 372 00:19:35,320 --> 00:19:37,880 Speaker 1: good stuff. That's good stuff. We love talking about logistics. 373 00:19:37,920 --> 00:19:40,280 Speaker 1: In case she couldn't tell, Maria, thanks so much for 374 00:19:40,600 --> 00:19:46,159 Speaker 1: joining us. Mario Harrick, he's a Chief Investment officer XPO Logistics. Uh, 375 00:19:46,200 --> 00:19:48,600 Speaker 1: he's Commune CEO of the XPO, which will be their 376 00:19:48,640 --> 00:19:53,480 Speaker 1: standalone lt L trucking company. And again the XPO folks, Uh, 377 00:19:53,560 --> 00:19:57,679 Speaker 1: they touched pretty much every consumer very frequently, as they 378 00:19:57,680 --> 00:20:00,720 Speaker 1: are really the backbone of the global truck king logistics 379 00:20:01,320 --> 00:20:04,440 Speaker 1: of this country as more and more traffic goes to digital. 380 00:20:04,760 --> 00:20:11,320 Speaker 1: This is Bloomberg. Let's talk to somebody who does this 381 00:20:11,320 --> 00:20:14,800 Speaker 1: stuff we're living. Shannon Gabriel, Managing Director of Leadership Solutions 382 00:20:14,800 --> 00:20:18,919 Speaker 1: that t b M Consulting. Shannon, from your perspective from 383 00:20:18,920 --> 00:20:23,639 Speaker 1: working with your clients, your employers, how good is the 384 00:20:23,720 --> 00:20:28,480 Speaker 1: labor market out there? I don't think it's good at all. Actually, 385 00:20:28,560 --> 00:20:32,440 Speaker 1: I think they we're we're still seeing a struggle within 386 00:20:32,480 --> 00:20:34,800 Speaker 1: the middle market. The groups that we work with, the 387 00:20:34,800 --> 00:20:37,159 Speaker 1: companies that we're working with um A t VM, you 388 00:20:37,320 --> 00:20:40,320 Speaker 1: fall anywhere between three hundred million and seven hundred million, 389 00:20:40,840 --> 00:20:44,040 Speaker 1: and I can't think of one. Actually there is one. 390 00:20:44,119 --> 00:20:46,680 Speaker 1: We have one client that's a manufacturing company that has 391 00:20:46,720 --> 00:20:48,840 Speaker 1: gone through some right tizing. The rest of them are 392 00:20:48,840 --> 00:20:52,080 Speaker 1: still struggling to find labor and to keep it. Why 393 00:20:52,119 --> 00:20:55,240 Speaker 1: do you she said, right sizing, And that's it's I 394 00:20:55,240 --> 00:20:58,040 Speaker 1: don't know if that's acceptable, Shannon, I mean they fired 395 00:20:58,080 --> 00:21:02,040 Speaker 1: people or what so, Shannon, I mean, is that because 396 00:21:02,440 --> 00:21:04,920 Speaker 1: they're not offering enough money? Is that because people don't 397 00:21:04,920 --> 00:21:10,280 Speaker 1: want to work? Is that because I can't find Some 398 00:21:10,359 --> 00:21:12,840 Speaker 1: of it relates back to the PTSD that occurred from 399 00:21:12,840 --> 00:21:15,080 Speaker 1: the pandemic. So if you look at the airline industry 400 00:21:15,160 --> 00:21:18,639 Speaker 1: and the service industry hospitality, they went through massive layoffs 401 00:21:18,720 --> 00:21:23,000 Speaker 1: right away, forced retirements, furloughs, and as they started to 402 00:21:23,000 --> 00:21:25,720 Speaker 1: try to rebound and bring that labor back UH that 403 00:21:25,840 --> 00:21:27,920 Speaker 1: PTFC kicked in and they went to a safer market 404 00:21:27,920 --> 00:21:30,719 Speaker 1: where they knew they could be UH stabilized. And so 405 00:21:30,840 --> 00:21:32,879 Speaker 1: some of those industries have had a harder time to 406 00:21:32,960 --> 00:21:36,240 Speaker 1: return to those normal levels. One because of pay, A 407 00:21:36,280 --> 00:21:38,800 Speaker 1: lot of companies went through a quick increase in their 408 00:21:38,840 --> 00:21:41,040 Speaker 1: wages right out of the gate. Some of them are 409 00:21:41,040 --> 00:21:43,240 Speaker 1: still struggling to get to where it's a competitive market. 410 00:21:43,240 --> 00:21:45,120 Speaker 1: And I don't mean a wage war where we're paying 411 00:21:45,200 --> 00:21:48,360 Speaker 1: over but just to be competitive in the geographic territory 412 00:21:48,400 --> 00:21:52,399 Speaker 1: that they're in. In terms of the money, I mean, 413 00:21:52,440 --> 00:21:55,800 Speaker 1: we do continue to see raises, so I guess our 414 00:21:55,840 --> 00:21:58,879 Speaker 1: employers offering more. Of the companies that you cover, they 415 00:21:58,960 --> 00:22:03,960 Speaker 1: having to continue offer more to get staffed. They have, 416 00:22:04,280 --> 00:22:07,640 Speaker 1: especially when you're talking within the leadership ranks. Uh, those 417 00:22:07,680 --> 00:22:11,119 Speaker 1: have seen a significant improvement and those employees and candidates 418 00:22:11,119 --> 00:22:14,440 Speaker 1: own the market, which you've also they don't talk about 419 00:22:14,440 --> 00:22:16,240 Speaker 1: it within the press, but we do hear a lot 420 00:22:16,320 --> 00:22:19,240 Speaker 1: right now are counter offers so as especially within the 421 00:22:19,320 --> 00:22:22,080 Speaker 1: leadership ranks, says those key stakeholders are trying to make 422 00:22:22,080 --> 00:22:25,160 Speaker 1: a move. Companies are throwing an enormous amount of money 423 00:22:25,160 --> 00:22:28,640 Speaker 1: at them to keep them on staff. Shannon, I guess 424 00:22:28,640 --> 00:22:31,600 Speaker 1: in recent weeks we've seen some large and midsize and 425 00:22:31,640 --> 00:22:35,440 Speaker 1: small tech companies said the slow hiring, you know, maybe 426 00:22:35,480 --> 00:22:38,000 Speaker 1: let some workers go. What do you read into that. 427 00:22:39,800 --> 00:22:43,520 Speaker 1: We've seen that across the decades, you know, they typically 428 00:22:43,560 --> 00:22:46,760 Speaker 1: can expand and contract their workforce a lot easier than 429 00:22:46,800 --> 00:22:49,800 Speaker 1: the middle market can. And and so when we see 430 00:22:49,840 --> 00:22:52,880 Speaker 1: those talks of CREE, I think that they may slow 431 00:22:52,920 --> 00:22:56,320 Speaker 1: down a bit, they may go through minor layoffs on 432 00:22:56,359 --> 00:22:59,280 Speaker 1: a frequent basis, But I don't think that it's indicative 433 00:22:59,320 --> 00:23:02,040 Speaker 1: of a recession, and I don't know that it's necessarily 434 00:23:02,040 --> 00:23:05,479 Speaker 1: indicative of their financial performance. Well, it's just you know, 435 00:23:05,680 --> 00:23:10,960 Speaker 1: headlines from big some some how controversial companies like coin 436 00:23:11,040 --> 00:23:15,080 Speaker 1: Base or robin Hood that we hear about. In terms 437 00:23:15,119 --> 00:23:18,639 Speaker 1: of the markets that you serve. Are there certain industries 438 00:23:19,119 --> 00:23:22,439 Speaker 1: that have an easier time? Are there certain industries that 439 00:23:22,520 --> 00:23:27,320 Speaker 1: just can't get staffed? Manufacturing distribution I think certainly have 440 00:23:27,520 --> 00:23:33,320 Speaker 1: still been struggling to come together and reach the normal levels. Distributions. Certainly. 441 00:23:33,440 --> 00:23:35,199 Speaker 1: You know, if you walk into any warehouse and you 442 00:23:35,240 --> 00:23:39,199 Speaker 1: talk to uh the warehouse managers supervisor, they'll tell you 443 00:23:39,240 --> 00:23:41,159 Speaker 1: that they not only can they not get people to 444 00:23:41,160 --> 00:23:43,280 Speaker 1: come in and stand ten hours a day because they 445 00:23:43,280 --> 00:23:45,280 Speaker 1: don't want to, but they also once they're there, will 446 00:23:45,280 --> 00:23:48,200 Speaker 1: have a quick they'll have the quick quits and they'll return, 447 00:23:48,480 --> 00:23:50,480 Speaker 1: um they return the next day, but not the day 448 00:23:50,480 --> 00:23:52,840 Speaker 1: after that. And so those industries I think are certainly 449 00:23:52,880 --> 00:23:57,280 Speaker 1: struggling hospitality service. If you've been in the restaurants um 450 00:23:57,320 --> 00:24:00,000 Speaker 1: in the last you know, month to three six months, 451 00:24:00,320 --> 00:24:02,119 Speaker 1: you'll see that you have half the restaurant open, but 452 00:24:02,119 --> 00:24:04,000 Speaker 1: you're gonna have an hour and a half wait because 453 00:24:04,000 --> 00:24:09,520 Speaker 1: they can't staff accordingly. Yeah, it's interesting during the pandemic, uh, Shannon, 454 00:24:09,560 --> 00:24:13,080 Speaker 1: women disproportionately bore the brunt. It seems like of some 455 00:24:13,160 --> 00:24:16,680 Speaker 1: of the layoffs there. And Greg Jared from Bloomberg News 456 00:24:16,760 --> 00:24:19,119 Speaker 1: just forward me a Bloomberg News story about how women 457 00:24:19,440 --> 00:24:21,840 Speaker 1: drove the job gains as the US labor market surges 458 00:24:21,880 --> 00:24:24,840 Speaker 1: back in July. So maybe some women getting back into 459 00:24:24,840 --> 00:24:28,800 Speaker 1: the marketplaces that what you're seeing as well. Absolutely, And 460 00:24:28,880 --> 00:24:31,560 Speaker 1: I think the reason behind that too is because women 461 00:24:31,600 --> 00:24:34,760 Speaker 1: predominantly were the ones that stayed home when their homeschooling 462 00:24:34,800 --> 00:24:38,320 Speaker 1: their kids, and they've got to make sacrifices with daycare 463 00:24:38,400 --> 00:24:40,840 Speaker 1: on what choices are going to make because of the pandemic. 464 00:24:40,920 --> 00:24:43,760 Speaker 1: So now that that has stabilized and normalized itself, they're 465 00:24:43,800 --> 00:24:46,280 Speaker 1: able to return back and a quick fashion and get 466 00:24:46,320 --> 00:24:48,760 Speaker 1: back into their career. All right, Shannon, thank you so 467 00:24:48,840 --> 00:24:51,600 Speaker 1: much for joining us. We we we appreciate that Shannon Gabriel, 468 00:24:51,640 --> 00:24:55,679 Speaker 1: Managing director of Leadership Solutions that t b M Consulting. 469 00:24:56,880 --> 00:24:59,960 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 470 00:25:00,040 --> 00:25:03,800 Speaker 1: subscribe and listen to interviews with Apple Podcasts or whatever 471 00:25:03,880 --> 00:25:07,520 Speaker 1: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 472 00:25:07,800 --> 00:25:11,600 Speaker 1: at Matt Miller three. On Fall Sweeney, I'm on Twitter 473 00:25:11,680 --> 00:25:14,520 Speaker 1: at pt Sweeney Before the podcast. You can always catch 474 00:25:14,560 --> 00:25:16,120 Speaker 1: us worldwide at Bloomberg Radio