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 --> 00:00:15,520 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 --> 00:00:22,000 Speaker 1: at Bloomberg dot com slash podcast. We have John Goldnack. 7 00:00:22,040 --> 00:00:24,480 Speaker 1: He is a vice president at Attico. Part let's start 8 00:00:24,520 --> 00:00:26,440 Speaker 1: off with the jobs numbers here because not only as 9 00:00:26,480 --> 00:00:28,360 Speaker 1: mid terms went to be one of the major drivers 10 00:00:28,360 --> 00:00:31,400 Speaker 1: with the jobs numbers as well. John, apologies on my part. 11 00:00:31,720 --> 00:00:34,600 Speaker 1: Let's start with your initial reaction to the jobs numbers today. 12 00:00:34,880 --> 00:00:36,840 Speaker 1: What was great was, you know, you see the markets 13 00:00:36,880 --> 00:00:38,400 Speaker 1: going up and down. There's a lot of good in 14 00:00:38,400 --> 00:00:40,960 Speaker 1: this job's report, um and then and then there's ways 15 00:00:41,000 --> 00:00:43,040 Speaker 1: that you know, you could interpret it a little bit differently. 16 00:00:43,040 --> 00:00:45,440 Speaker 1: But what I love about it wage growth, you know, 17 00:00:45,520 --> 00:00:48,120 Speaker 1: starting to slow down. We're seeing stability that's going to 18 00:00:48,240 --> 00:00:51,360 Speaker 1: allow companies that you know, that confidence to continue to hire. 19 00:00:51,720 --> 00:00:54,240 Speaker 1: The quits are holding steady, so some of the retention 20 00:00:54,280 --> 00:00:57,400 Speaker 1: strategies that are employers are putting in really slowing down 21 00:00:57,440 --> 00:00:59,320 Speaker 1: the churn that we saw a couple of quarters ago. 22 00:00:59,400 --> 00:01:01,800 Speaker 1: So I like to that consistency. One of the things 23 00:01:01,840 --> 00:01:04,760 Speaker 1: that Pals dated though, was that demand, can you know 24 00:01:04,959 --> 00:01:08,080 Speaker 1: substantially is exceeding supply right now? So I think we 25 00:01:08,120 --> 00:01:10,880 Speaker 1: do need to look at that labor participation rate. We're 26 00:01:10,880 --> 00:01:13,800 Speaker 1: holding flat there. Um, we've got to continue to focus 27 00:01:13,840 --> 00:01:16,160 Speaker 1: on upskilling and reskilling these workers so we can get 28 00:01:16,200 --> 00:01:20,080 Speaker 1: some of those leisure and hospitality colleagues that really haven't 29 00:01:20,120 --> 00:01:23,200 Speaker 1: been enjoying the fruit right now since COVID. We need 30 00:01:23,280 --> 00:01:25,039 Speaker 1: to get them in some other industries right now so 31 00:01:25,120 --> 00:01:27,600 Speaker 1: we can uptake this participation rate. And I think I 32 00:01:27,600 --> 00:01:29,720 Speaker 1: think we're gonna be in a good spot. But yeah, 33 00:01:29,760 --> 00:01:31,600 Speaker 1: there's still some pause I think in the labor market, 34 00:01:31,680 --> 00:01:34,400 Speaker 1: waiting to see what happens with these midterms. Yeah, it's 35 00:01:34,440 --> 00:01:36,480 Speaker 1: a really interesting point you make there. I want to 36 00:01:36,480 --> 00:01:39,480 Speaker 1: get into that a little bit more about the dislocation 37 00:01:39,640 --> 00:01:43,440 Speaker 1: between the openings that we're seeing and the participation rate. 38 00:01:43,560 --> 00:01:46,199 Speaker 1: Is that starting to come together in terms of people 39 00:01:46,240 --> 00:01:48,400 Speaker 1: getting into the jobs that are open or are we 40 00:01:48,480 --> 00:01:51,400 Speaker 1: are still seeing a gap there. We're still seeing a 41 00:01:51,400 --> 00:01:54,000 Speaker 1: gap there, but we're making progress. We're seeing employers take 42 00:01:54,040 --> 00:01:56,560 Speaker 1: a look at their job descriptions, looking at the you know, 43 00:01:56,720 --> 00:01:59,640 Speaker 1: the barriers to entry. Do you need a high school diploma? 44 00:01:59,760 --> 00:02:02,279 Speaker 1: Can we do some on the job training. We're also seeing, 45 00:02:02,560 --> 00:02:05,280 Speaker 1: you know, a re emergence of some vocational and technical 46 00:02:05,280 --> 00:02:08,200 Speaker 1: trade schools coming up. You know, if we can't upscale 47 00:02:08,240 --> 00:02:10,239 Speaker 1: or rescale, we're gonna have to create some workers to 48 00:02:10,320 --> 00:02:13,639 Speaker 1: come in. So I see people getting more creative, opening 49 00:02:13,720 --> 00:02:16,679 Speaker 1: up their days and letting letting new people come in. Um, 50 00:02:16,680 --> 00:02:18,760 Speaker 1: it's just a question of that the culture change. It's 51 00:02:18,760 --> 00:02:21,000 Speaker 1: going to take a little bit more time and as 52 00:02:21,080 --> 00:02:24,000 Speaker 1: we continue, you know, to improve. We're seeing so much 53 00:02:24,080 --> 00:02:27,720 Speaker 1: hiring and healthcare has been consistent, I mean, seven thousand 54 00:02:27,720 --> 00:02:30,480 Speaker 1: per month compared to nine thousand per month twenty two 55 00:02:30,639 --> 00:02:34,720 Speaker 1: versus twenty one. So what a huge investment in infrastructure. 56 00:02:34,960 --> 00:02:37,960 Speaker 1: But but you're right, there's a dislocation by sector and 57 00:02:38,000 --> 00:02:41,320 Speaker 1: until we can get the whole up in that participation rate, UM, 58 00:02:41,480 --> 00:02:45,040 Speaker 1: we still have to stay focused on reskilling and upskilling workers. Well, 59 00:02:45,080 --> 00:02:48,920 Speaker 1: speaking of a diversion by sector, I I'm interested in 60 00:02:49,000 --> 00:02:52,040 Speaker 1: the oil and gas sector specifically. Believe only four hundred 61 00:02:52,120 --> 00:02:55,200 Speaker 1: jobs were added in that sector sector that the Biden 62 00:02:55,200 --> 00:02:59,120 Speaker 1: administration has been actively trying to really ramp up in 63 00:02:59,200 --> 00:03:01,680 Speaker 1: terms of production. In turn, the industry saying, look, we 64 00:03:01,720 --> 00:03:04,440 Speaker 1: are still in dealing with supply chain issues despite these 65 00:03:04,480 --> 00:03:08,919 Speaker 1: record profits. We can't ramp up production that quickly. Where 66 00:03:08,919 --> 00:03:10,600 Speaker 1: does the jobs market falls. They're a little bit of 67 00:03:10,639 --> 00:03:13,760 Speaker 1: catch up to be played by that sector. I think 68 00:03:13,800 --> 00:03:16,320 Speaker 1: when you look at energy in general, it's been it's 69 00:03:16,360 --> 00:03:19,040 Speaker 1: been growing. Energy has been a growing sector. So you 70 00:03:19,040 --> 00:03:21,880 Speaker 1: know this this comes into can we get people to 71 00:03:21,919 --> 00:03:25,080 Speaker 1: work around the clock, can we get second third shifts? 72 00:03:25,120 --> 00:03:27,839 Speaker 1: You know, oil industry is not a nine to five job, 73 00:03:27,919 --> 00:03:30,400 Speaker 1: so you're looking at a type of worker. Um, that's 74 00:03:30,400 --> 00:03:32,880 Speaker 1: a very narrow base. So again this comes down to, 75 00:03:33,400 --> 00:03:36,440 Speaker 1: you know, we need to reskill and bring people in 76 00:03:36,640 --> 00:03:41,000 Speaker 1: two different industries like energy, like healthcare that are growing. Um, 77 00:03:41,080 --> 00:03:42,960 Speaker 1: it's it's challenging. But you know, one of the other 78 00:03:43,000 --> 00:03:45,680 Speaker 1: things I think is important to note if you look 79 00:03:45,680 --> 00:03:48,720 Speaker 1: at the ADP report, UM specifically, they had a comment 80 00:03:48,760 --> 00:03:54,520 Speaker 1: there about company size and company size fifty employees. They 81 00:03:54,520 --> 00:03:58,560 Speaker 1: added two jobs per a DP. Now, if you look 82 00:03:58,560 --> 00:04:01,000 Speaker 1: at that, that's virtually almost all gains. So so what 83 00:04:01,120 --> 00:04:04,240 Speaker 1: that tells me a little bit I interpret that as 84 00:04:04,520 --> 00:04:07,160 Speaker 1: the larger companies right now have have got a little 85 00:04:07,160 --> 00:04:09,720 Speaker 1: bit of the talent they're they're holding right now, they've 86 00:04:09,760 --> 00:04:11,760 Speaker 1: got strategy, they're waiting to see what happens in the 87 00:04:11,760 --> 00:04:14,760 Speaker 1: mid terms, but it's created an opportunity window for these 88 00:04:14,800 --> 00:04:17,799 Speaker 1: small and midsized companies who have been fighting for the talent. 89 00:04:17,880 --> 00:04:19,800 Speaker 1: They're finally starting to get some of it right now. 90 00:04:19,880 --> 00:04:22,120 Speaker 1: So that was encouraging for me to see small and 91 00:04:22,120 --> 00:04:25,160 Speaker 1: midsized companies really make some gains. Um. I think we'll 92 00:04:25,200 --> 00:04:27,480 Speaker 1: see the fruit of that in the next couple of months, 93 00:04:27,800 --> 00:04:29,880 Speaker 1: certainly something we're going to keep our eye on. John 94 00:04:29,880 --> 00:04:33,240 Speaker 1: Golnac of a Deco, we thank you as always for 95 00:04:33,360 --> 00:04:36,120 Speaker 1: joining us an apologies again for the intro. I look 96 00:04:36,160 --> 00:04:41,200 Speaker 1: forward to to having you back on the show. What 97 00:04:41,360 --> 00:04:45,320 Speaker 1: also never gets old is analysis from a certain gentleman 98 00:04:45,400 --> 00:04:49,960 Speaker 1: who has just a real affinity for looking at things 99 00:04:50,160 --> 00:04:53,040 Speaker 1: state by state. Of course, as a background in Muty bonds, 100 00:04:53,200 --> 00:04:55,679 Speaker 1: so I feel like you never forget your first speak. 101 00:04:55,800 --> 00:04:58,680 Speaker 1: Matthew Winkler, Editor in chief Meritis joins me right here 102 00:04:58,720 --> 00:05:00,960 Speaker 1: in studio. Real pleasure I wanted before we get to 103 00:05:01,040 --> 00:05:03,560 Speaker 1: your column. Is that true? You never forget your first beat. 104 00:05:04,360 --> 00:05:07,719 Speaker 1: I think it's true, and it's always delight to be 105 00:05:07,800 --> 00:05:10,279 Speaker 1: with you. You're very sweet. Thank you. Um Well. He 106 00:05:10,279 --> 00:05:14,040 Speaker 1: wrote this incredible column about Ohio specifically, when you think 107 00:05:14,080 --> 00:05:18,440 Speaker 1: about globalization, Ohio doesn't necessarily immediately come to mind for me. 108 00:05:18,480 --> 00:05:24,680 Speaker 1: It's New York or l A maybe, but right, you know, 109 00:05:24,760 --> 00:05:27,040 Speaker 1: somewhere near the water m But he makes the argument 110 00:05:27,080 --> 00:05:31,680 Speaker 1: that Ohio is actually benefited, perhaps more than others from globalization. 111 00:05:32,000 --> 00:05:36,560 Speaker 1: Walks through that. So you're absolutely right. If you are 112 00:05:37,080 --> 00:05:40,800 Speaker 1: on the campaign trail, all you hear is very xenophobic 113 00:05:41,560 --> 00:05:47,320 Speaker 1: comments about businesses overseas from both the Democrat and the 114 00:05:47,320 --> 00:05:51,040 Speaker 1: Republican candidates for Senate j d Vance on the Republican 115 00:05:51,120 --> 00:05:56,880 Speaker 1: side and Ryan among the Democrats. What is the reality, however, 116 00:05:57,120 --> 00:06:02,520 Speaker 1: is that Ohio is um one of the greatest beneficiaries 117 00:06:02,520 --> 00:06:06,240 Speaker 1: of globalization, as measured by the fact that it has 118 00:06:06,320 --> 00:06:12,120 Speaker 1: more foreign owned factories per square thousand miles than any 119 00:06:12,160 --> 00:06:14,320 Speaker 1: other state in the country. And if you break that 120 00:06:14,360 --> 00:06:19,400 Speaker 1: down even more, h every business, the publicly traded Giant, 121 00:06:19,520 --> 00:06:24,240 Speaker 1: Procter and Gamble to family owned companies, they all are 122 00:06:24,560 --> 00:06:29,359 Speaker 1: huge beneficiaries of trade with China, Canada, and Mexico. And 123 00:06:29,800 --> 00:06:35,120 Speaker 1: that's a long running story. And if you consider that, 124 00:06:35,520 --> 00:06:39,200 Speaker 1: probably the factory worker as we know it historically has 125 00:06:39,240 --> 00:06:44,440 Speaker 1: been displaced mostly by automation. Ohio has actually been working 126 00:06:44,760 --> 00:06:48,400 Speaker 1: because of globalization. So that's really the story and it 127 00:06:48,560 --> 00:06:51,159 Speaker 1: and it doesn't stop. But nobody talks about this. And 128 00:06:51,680 --> 00:06:55,240 Speaker 1: every way you look at it, there's something like almost 129 00:06:55,320 --> 00:06:59,560 Speaker 1: eight hundred foreign factories in Ohio. You can't miss them. 130 00:06:59,560 --> 00:07:02,480 Speaker 1: I mean, if land in Columbus, for example, and just 131 00:07:02,720 --> 00:07:07,080 Speaker 1: drive a little bit north you hit Marysville, Ohio, which 132 00:07:07,160 --> 00:07:12,720 Speaker 1: is the center of Honda's North American UM production factory. 133 00:07:13,800 --> 00:07:17,320 Speaker 1: Of course they at The argument that anti globalists would 134 00:07:17,320 --> 00:07:20,600 Speaker 1: make is that it's added to the wealth gap between 135 00:07:20,680 --> 00:07:23,600 Speaker 1: rich and poor. That you know, so much labor can 136 00:07:23,680 --> 00:07:28,040 Speaker 1: be farmed out to foreign countries and the US doesn't 137 00:07:28,120 --> 00:07:32,880 Speaker 1: get that much in return. Are you seeing that in Ohio? Well, 138 00:07:32,880 --> 00:07:38,000 Speaker 1: not really, because Ohio has done very well recruiting uh, 139 00:07:38,040 --> 00:07:42,920 Speaker 1: not just Honda, but Siemens uh for example, air liquid 140 00:07:43,200 --> 00:07:47,080 Speaker 1: from France. UM. It's done a great job recruiting companies 141 00:07:47,120 --> 00:07:51,560 Speaker 1: from overseas and letting them prosper in Ohio, paying very 142 00:07:51,640 --> 00:07:54,000 Speaker 1: high wages. By the way, all of these companies that 143 00:07:54,040 --> 00:07:58,280 Speaker 1: are far and owned that operate in Ohio are the 144 00:07:58,320 --> 00:08:01,320 Speaker 1: ones that are providing the high is paying jobs. Now, 145 00:08:01,440 --> 00:08:05,119 Speaker 1: the biggest employer in Ohio is Walmart. They have something 146 00:08:05,160 --> 00:08:09,840 Speaker 1: like fifty five thousand what they call associates earning less 147 00:08:09,840 --> 00:08:13,240 Speaker 1: than eighteen dollars an hour. And by the way, you're 148 00:08:13,560 --> 00:08:16,200 Speaker 1: very well aware that Walmart gets a lot of its 149 00:08:16,240 --> 00:08:19,000 Speaker 1: stuff and has been for some time from China. So 150 00:08:19,440 --> 00:08:23,920 Speaker 1: there's Walmart employing more Ohioans than any other company. And 151 00:08:24,240 --> 00:08:27,680 Speaker 1: Ohio is okay with that because Walmart is the biggest 152 00:08:27,680 --> 00:08:32,000 Speaker 1: employer in Ohio. So then factor in the politics of this. Now, 153 00:08:32,440 --> 00:08:38,160 Speaker 1: what could change perhaps in Ohio given some of this rhetoric. Well, unfortunately, 154 00:08:39,360 --> 00:08:42,520 Speaker 1: that's saying the truth is the first casualty, and we 155 00:08:42,600 --> 00:08:46,040 Speaker 1: know it all too well in our own profession of journalism. 156 00:08:46,120 --> 00:08:52,959 Speaker 1: And UM, this contradiction, uh, and that's really what it is. UM. 157 00:08:53,000 --> 00:08:57,800 Speaker 1: The lack of honesty on the campaign trail or even 158 00:08:57,840 --> 00:09:01,720 Speaker 1: in the media narrative makes it difficult for people to 159 00:09:01,800 --> 00:09:06,760 Speaker 1: accept what, in fact, uh is the reality for not 160 00:09:06,880 --> 00:09:10,840 Speaker 1: just the US, but every modern economy in the world. 161 00:09:11,000 --> 00:09:15,440 Speaker 1: We're all inter interdependent, really, UM, and that's not going 162 00:09:15,520 --> 00:09:17,600 Speaker 1: to go away. I mean, even with all of the 163 00:09:18,160 --> 00:09:24,800 Speaker 1: recent hostility towards China, global trade is a reality, and uh, 164 00:09:24,840 --> 00:09:28,160 Speaker 1: you know your your point about fair trade. That's something 165 00:09:28,200 --> 00:09:31,679 Speaker 1: for politicians obviously to sort out. But in the meantime, 166 00:09:32,600 --> 00:09:37,679 Speaker 1: people are working in Ohio because of globalization. I mean 167 00:09:37,720 --> 00:09:40,160 Speaker 1: in some way, Matt, is this just a matter of 168 00:09:40,800 --> 00:09:44,080 Speaker 1: you know, China is an easier political punching bag than 169 00:09:44,280 --> 00:09:49,440 Speaker 1: automation to some extent, Well, it's it's easier insofar as 170 00:09:49,520 --> 00:09:52,880 Speaker 1: China is an autocracy, I mean, where you want to 171 00:09:52,920 --> 00:09:56,760 Speaker 1: call it a dictatorship, So it's an easy target. Having 172 00:09:56,800 --> 00:09:59,720 Speaker 1: said that, it's the second largest economy in the world, 173 00:10:00,040 --> 00:10:03,080 Speaker 1: and it's the one that's grown the most UH in 174 00:10:03,360 --> 00:10:08,720 Speaker 1: our lifetimes. So um, yeah, you can assail China. But 175 00:10:08,840 --> 00:10:12,160 Speaker 1: just about every global business that we know of, UH 176 00:10:12,200 --> 00:10:16,360 Speaker 1: does business in China. And it's two ways. I mean, Ohio, 177 00:10:16,880 --> 00:10:20,800 Speaker 1: by the way, exports quite a bit of its stuff 178 00:10:21,200 --> 00:10:24,400 Speaker 1: to China. It gets more of its stuff from China. 179 00:10:24,520 --> 00:10:27,200 Speaker 1: But it's a two way trade, if you like. And 180 00:10:27,280 --> 00:10:30,720 Speaker 1: that's the reality for a lot of states. Of course. 181 00:10:31,200 --> 00:10:35,760 Speaker 1: Matt Winkler Bloomberg News as founder and editor in chief emeritus, 182 00:10:35,800 --> 00:10:38,040 Speaker 1: I might add wrote this incredible column. Folks check it 183 00:10:38,040 --> 00:10:40,599 Speaker 1: out on Bloomberg dot Com and of course Bloomberg Opinion. O. 184 00:10:40,720 --> 00:10:43,840 Speaker 1: P I N I'll go on your Bloomberg terminal. We 185 00:10:43,840 --> 00:10:46,000 Speaker 1: are very excited to have him in studio, and of 186 00:10:46,040 --> 00:10:48,040 Speaker 1: course he has I'm sure more columns ahead of the 187 00:10:48,040 --> 00:10:54,240 Speaker 1: midterms next week. We're very excited about this next guest 188 00:10:54,640 --> 00:10:57,360 Speaker 1: joining us, especially ahead of mid terms, a really crucial moment, 189 00:10:57,520 --> 00:10:59,680 Speaker 1: not just for the markets, but for politics as well. 190 00:11:00,120 --> 00:11:03,679 Speaker 1: Is Governor Ned Lamont of the great state of Connecticut. 191 00:11:03,720 --> 00:11:06,599 Speaker 1: He's running for re election in two of course, I 192 00:11:06,640 --> 00:11:10,400 Speaker 1: guess Republican Bob Stefanowski, Governor, thank you as always for 193 00:11:10,520 --> 00:11:13,880 Speaker 1: making the time to join us up. Myself and Nathan 194 00:11:13,880 --> 00:11:16,040 Speaker 1: are are very very excited to have you. I want 195 00:11:16,040 --> 00:11:18,559 Speaker 1: to start off with a question about your business background. 196 00:11:18,640 --> 00:11:20,319 Speaker 1: This is at the end of the day Bloomberg Radio. 197 00:11:20,520 --> 00:11:23,200 Speaker 1: You and your opponent both have an extensive career in 198 00:11:23,280 --> 00:11:26,240 Speaker 1: business and finance. But I'm curious if you think the 199 00:11:26,240 --> 00:11:30,120 Speaker 1: Democratic Party has become too anti business or their policies 200 00:11:30,120 --> 00:11:32,680 Speaker 1: aren't promoting enough economic growth. That's certainly some of the 201 00:11:32,720 --> 00:11:37,160 Speaker 1: criticism that the Democratic Party has faced. I'll tell you 202 00:11:37,160 --> 00:11:39,000 Speaker 1: one thing gratty. I think they'd be well served to 203 00:11:39,040 --> 00:11:42,240 Speaker 1: have more people with a business background. You see some 204 00:11:42,400 --> 00:11:45,720 Speaker 1: in the governor's world, and I think that's really positive. UM. 205 00:11:45,760 --> 00:11:48,840 Speaker 1: I worked very closely with Charlie Baker up in Massa Chosetts. 206 00:11:49,240 --> 00:11:52,120 Speaker 1: We both have a business background, which I thought was 207 00:11:52,240 --> 00:11:55,280 Speaker 1: very helpful. Gina Romando next door to me in Rhode 208 00:11:55,280 --> 00:11:58,160 Speaker 1: Island before she went on the commerce And I do 209 00:11:58,280 --> 00:12:01,120 Speaker 1: think I'm the first one UM in forever here in 210 00:12:01,160 --> 00:12:04,320 Speaker 1: the state of Connecticut with a business. I started up 211 00:12:04,320 --> 00:12:08,520 Speaker 1: a business forty years ago building telecommunication systems came out 212 00:12:08,520 --> 00:12:11,439 Speaker 1: of the cable TV and it's the likes of experience 213 00:12:11,480 --> 00:12:13,520 Speaker 1: that I bring to this job every day, knowing what 214 00:12:13,559 --> 00:12:16,160 Speaker 1: it means to was small business, how our policies would 215 00:12:16,160 --> 00:12:20,400 Speaker 1: impact a small business. You know, Governor, your fellow governor 216 00:12:20,679 --> 00:12:24,240 Speaker 1: Democrat of California, Gavin Newsom, has made no secret of 217 00:12:24,360 --> 00:12:28,680 Speaker 1: his feeling that your party, the Democrats, are failing when 218 00:12:28,679 --> 00:12:31,680 Speaker 1: it comes to putting out a coherent economic message. Is 219 00:12:31,720 --> 00:12:34,240 Speaker 1: that of you you share and if so, what can 220 00:12:34,280 --> 00:12:38,559 Speaker 1: you do about it? I'll tell you what we've done 221 00:12:38,559 --> 00:12:41,880 Speaker 1: here in Connecticut. Create something called Advanced CT so I 222 00:12:41,920 --> 00:12:44,560 Speaker 1: get all the business leaders at the table. No more 223 00:12:44,559 --> 00:12:49,320 Speaker 1: of this adversarial relationship or two very different spheres. There 224 00:12:49,320 --> 00:12:52,240 Speaker 1: are best advocates for the state, Nathan, I mean, I'm 225 00:12:52,320 --> 00:12:54,360 Speaker 1: I'm a homer. When a company is thinking about coming 226 00:12:54,400 --> 00:12:56,840 Speaker 1: to the state or expanding the state, Um, you know, 227 00:12:56,880 --> 00:12:58,320 Speaker 1: you know what I'm gonna say and how I'm gonna 228 00:12:58,320 --> 00:13:00,440 Speaker 1: push up When I can send them this abody who's 229 00:13:00,440 --> 00:13:04,600 Speaker 1: an advanced manufacturing or i T or life sciences, who's 230 00:13:04,640 --> 00:13:07,240 Speaker 1: part of our advanced CT team. That's a good way 231 00:13:07,280 --> 00:13:12,120 Speaker 1: to reinvent and sell the company. Walk us through perhaps 232 00:13:12,120 --> 00:13:15,079 Speaker 1: some of the key voter issues here. I mean, we've 233 00:13:15,080 --> 00:13:17,480 Speaker 1: talked about inflation, the economy. A lot of us from 234 00:13:17,480 --> 00:13:20,360 Speaker 1: from Bloombergradi and bloomber Television are talking about just how 235 00:13:20,440 --> 00:13:22,640 Speaker 1: much that is going to drive the drive voters to 236 00:13:22,720 --> 00:13:25,640 Speaker 1: the polls. But it's also crime, it's abortion, it's immigration. 237 00:13:26,040 --> 00:13:28,680 Speaker 1: What would you say is the number one issue that 238 00:13:28,840 --> 00:13:34,319 Speaker 1: is driving voters? I think the economy front and center. Uh. 239 00:13:34,720 --> 00:13:37,680 Speaker 1: Here in Connecticut we've been flat as a pancake for 240 00:13:37,760 --> 00:13:41,280 Speaker 1: thirty years. We hadn't added a new job in thirty years. Uh, 241 00:13:41,280 --> 00:13:44,280 Speaker 1: and we were going from physical crisis to fiscal crisis. 242 00:13:44,400 --> 00:13:47,680 Speaker 1: It was a pretty lousy story. And the last you know, 243 00:13:48,480 --> 00:13:50,880 Speaker 1: four or five years, we're beginning to turn things around, 244 00:13:50,920 --> 00:13:53,160 Speaker 1: and we've had four balanced budgets in a row. We 245 00:13:53,240 --> 00:13:56,480 Speaker 1: did it without raising taxes. That sent a message loud 246 00:13:56,520 --> 00:14:00,199 Speaker 1: and clear to the business community. Connecticut beginning to get 247 00:14:00,200 --> 00:14:03,600 Speaker 1: its fiscal act and u together build on that. We 248 00:14:03,640 --> 00:14:07,040 Speaker 1: hadn't added jobs. Today, we've got created over a hundred 249 00:14:07,080 --> 00:14:09,760 Speaker 1: thousand new jobs that were really working hard to fill 250 00:14:09,880 --> 00:14:12,720 Speaker 1: right now. So when it comes to the economy, we're 251 00:14:12,760 --> 00:14:15,600 Speaker 1: telling that story loud and clear. But there's no getting 252 00:14:15,600 --> 00:14:18,600 Speaker 1: away from inflation and how that slams the middle class. 253 00:14:18,679 --> 00:14:21,240 Speaker 1: And we did what we could. We put in place 254 00:14:21,360 --> 00:14:24,160 Speaker 1: the biggest middle class tax cut in our history, and 255 00:14:24,200 --> 00:14:26,360 Speaker 1: that's money that when the people's pocket. As early as 256 00:14:26,400 --> 00:14:31,160 Speaker 1: this summer, Governor, there is some pushback from the Biden 257 00:14:31,160 --> 00:14:34,800 Speaker 1: administration at the moment against the idea that perhaps the 258 00:14:34,840 --> 00:14:38,920 Speaker 1: federal reserve needs a recession to really fully tackle on 259 00:14:39,040 --> 00:14:44,080 Speaker 1: inflation and in doing that have unemployment rise. Is Connecticut 260 00:14:44,400 --> 00:14:49,920 Speaker 1: prepared for such a move. We're as prepared as you 261 00:14:49,960 --> 00:14:52,840 Speaker 1: can be. For the first time ever. I've got a 262 00:14:52,920 --> 00:14:55,040 Speaker 1: three and a half billion dollar rainy day fund. What 263 00:14:55,040 --> 00:14:57,840 Speaker 1: does that mean? It's about fifteen percent of our revenues. 264 00:14:57,880 --> 00:15:02,080 Speaker 1: So I budgeted very conservatively. I assumed our capital gains 265 00:15:02,160 --> 00:15:04,640 Speaker 1: was gonna be going down, not up this year already. 266 00:15:05,160 --> 00:15:08,640 Speaker 1: Combine that with the fact that I got fiftum set 267 00:15:08,640 --> 00:15:12,760 Speaker 1: aside in cash as necessary if our revenues shortfall. I 268 00:15:12,760 --> 00:15:14,960 Speaker 1: don't want to do anything that upsets the apple cart. 269 00:15:15,000 --> 00:15:16,840 Speaker 1: I don't want to raise any taxes. I don't want 270 00:15:16,840 --> 00:15:20,800 Speaker 1: to slash education spending. That's what the ten previous governors 271 00:15:20,840 --> 00:15:23,240 Speaker 1: have done. That's not what I'm gonna do. At the 272 00:15:23,320 --> 00:15:26,440 Speaker 1: national level, Governor, as you know, there's talk about lifting 273 00:15:26,480 --> 00:15:30,240 Speaker 1: the debt ceiling if Democrats take back control of Congress, 274 00:15:30,240 --> 00:15:34,160 Speaker 1: although here from many pollsters, they don't think that's gonna happen. 275 00:15:35,040 --> 00:15:38,960 Speaker 1: Given the fiscal policy that you're putting forward in Connecticut. 276 00:15:39,040 --> 00:15:41,640 Speaker 1: Is there something that Democrats can take away from on 277 00:15:41,680 --> 00:15:43,440 Speaker 1: a national level from what you're doing in the state 278 00:15:43,440 --> 00:15:48,800 Speaker 1: of Connecticut. I think anything that gives people confidence you're 279 00:15:48,840 --> 00:15:51,560 Speaker 1: dealing with your long term issues, just not the short term, 280 00:15:51,560 --> 00:15:54,440 Speaker 1: makes the difference. It's a sense of direction. I don't 281 00:15:54,440 --> 00:15:57,440 Speaker 1: want anybody playing games with the debt ceiling. I've been 282 00:15:57,480 --> 00:16:00,320 Speaker 1: through this before as an observer when we're gonna shut 283 00:16:00,360 --> 00:16:02,840 Speaker 1: down government if we don't get our way, and now 284 00:16:02,880 --> 00:16:05,040 Speaker 1: as a governor, I can tell you how disastrous that 285 00:16:05,040 --> 00:16:07,320 Speaker 1: would be if there was a real risk that a 286 00:16:07,360 --> 00:16:09,680 Speaker 1: lot of the ongoing support we get from the federal 287 00:16:09,760 --> 00:16:12,360 Speaker 1: government was to be cut off all of a sudden. 288 00:16:12,800 --> 00:16:14,920 Speaker 1: So I really hope that's not a game that Congress 289 00:16:15,000 --> 00:16:18,880 Speaker 1: is going to play. So, then, is the spending that 290 00:16:18,920 --> 00:16:21,640 Speaker 1: we've seen from the BI part is an infrastructure Act 291 00:16:21,680 --> 00:16:24,240 Speaker 1: the Inflation Reduction Act? Is that something that you support? 292 00:16:25,720 --> 00:16:28,760 Speaker 1: That's up my support? Look, Nathan, I'm a We've got 293 00:16:28,800 --> 00:16:32,800 Speaker 1: a hundred year old bridges and old roads, old rails, 294 00:16:32,920 --> 00:16:36,000 Speaker 1: So this is a big deal for us. Every president 295 00:16:36,040 --> 00:16:39,080 Speaker 1: seems to be talking about infrastructure. Of Biden's the first 296 00:16:39,120 --> 00:16:41,160 Speaker 1: guy since Ike as far as I can figure out, 297 00:16:41,400 --> 00:16:45,480 Speaker 1: to really be serious about it. Look, we're geographic. We're 298 00:16:45,520 --> 00:16:48,240 Speaker 1: between New York and Boston. I can take twenty minutes 299 00:16:48,280 --> 00:16:51,160 Speaker 1: off your commute in each direction. It'll take you know, 300 00:16:51,280 --> 00:16:53,400 Speaker 1: five or six years to do it. But these are 301 00:16:53,440 --> 00:16:56,200 Speaker 1: the types of investments that the Infrastructure Bill allows us 302 00:16:56,240 --> 00:17:00,680 Speaker 1: to make. But these infrastructure investments were meant to kind 303 00:17:00,720 --> 00:17:04,080 Speaker 1: of manifest for lack of a better term, over a 304 00:17:04,160 --> 00:17:07,480 Speaker 1: much longer time horizon. We're talking potentially ten years. It's 305 00:17:07,480 --> 00:17:09,920 Speaker 1: not just about kind of roads and bridges. It's about say, 306 00:17:10,000 --> 00:17:14,479 Speaker 1: chip making facilities. Even I wonder, though, if there's a 307 00:17:14,640 --> 00:17:18,760 Speaker 1: risk to the Democratic Party and to this massive infrastructure investment, 308 00:17:19,080 --> 00:17:22,080 Speaker 1: if we not only see a Republican sweep in in 309 00:17:22,119 --> 00:17:30,520 Speaker 1: this midterm election, but potentially a Republican president. I'd be 310 00:17:30,720 --> 00:17:33,600 Speaker 1: very surprised if they wanted to roll back the Infrastructure 311 00:17:33,600 --> 00:17:37,520 Speaker 1: Bill that that did have some bipartisans support, thank you, 312 00:17:37,560 --> 00:17:41,680 Speaker 1: Mitt Romney and um that would surprise me. The Inflation 313 00:17:41,720 --> 00:17:44,080 Speaker 1: Reduction Act. Maybe you think we're putting too much money 314 00:17:44,160 --> 00:17:49,040 Speaker 1: into UM charging stations or resiliency to prevent against flooding. 315 00:17:49,040 --> 00:17:51,920 Speaker 1: But I think after Hurricane Ian people say, hey, probably 316 00:17:51,960 --> 00:17:54,760 Speaker 1: these are investments worth making. You know, I think you'd 317 00:17:54,760 --> 00:17:57,320 Speaker 1: probably have grid luck that the Republicans take over Congress 318 00:17:57,359 --> 00:17:59,320 Speaker 1: and not much had happened for the next two years. 319 00:17:59,680 --> 00:18:01,560 Speaker 1: But we've got a lot of our plate right now. 320 00:18:01,640 --> 00:18:04,480 Speaker 1: I've got to make sure it's appropriately invested. Of course, 321 00:18:04,480 --> 00:18:07,080 Speaker 1: there's a lot of talk as well, Governor about rolling 322 00:18:07,080 --> 00:18:11,360 Speaker 1: back entitlements, Social Security, Medicare Medicaid reform as well. You've 323 00:18:11,400 --> 00:18:14,160 Speaker 1: even heard from Joe Mansion, the Democrat from West Virginia, 324 00:18:14,200 --> 00:18:15,840 Speaker 1: saying that needs to be looked at as well. How 325 00:18:15,920 --> 00:18:19,239 Speaker 1: much of a concern is that for you. I'll tell 326 00:18:19,280 --> 00:18:22,040 Speaker 1: you what we've done here in Connecticut, Nathan. Um. You know, 327 00:18:22,080 --> 00:18:25,240 Speaker 1: they were talking about walking away from our pension obligations 328 00:18:25,280 --> 00:18:28,040 Speaker 1: to state employees we couldn't afford it, and to let 329 00:18:28,080 --> 00:18:31,680 Speaker 1: them fend for themselves. We've done just the opposite. Um. 330 00:18:31,720 --> 00:18:34,960 Speaker 1: We've paid down, not just made the required contributions to 331 00:18:35,000 --> 00:18:38,040 Speaker 1: the state veget funds, but paid down about ten percent 332 00:18:38,119 --> 00:18:40,960 Speaker 1: of it. We're look, we're no showcase. We still have 333 00:18:41,040 --> 00:18:43,800 Speaker 1: a big unfunded liability, but we're a lot better off 334 00:18:43,840 --> 00:18:46,399 Speaker 1: than we were before. And I really urged the federal 335 00:18:46,480 --> 00:18:49,040 Speaker 1: government to take it seriously. Everybody sort of kicks the 336 00:18:49,119 --> 00:18:52,120 Speaker 1: can on Social Security. You can't do that any longer. 337 00:18:52,400 --> 00:18:55,360 Speaker 1: Look what Chip and Ronnie did back in nineteen eighty 338 00:18:55,440 --> 00:18:57,400 Speaker 1: two or three. I think you'll see something like that 339 00:18:57,440 --> 00:19:01,120 Speaker 1: going forward. That's a throwback tip and Ronnie, I want 340 00:19:01,119 --> 00:19:02,879 Speaker 1: to ask you about that a little bit in terms 341 00:19:02,880 --> 00:19:05,040 Speaker 1: of the polarization we're seeing as well. I mean when 342 00:19:05,040 --> 00:19:08,040 Speaker 1: you think of Tip O'Neil and Ronald Reagan, you think 343 00:19:08,080 --> 00:19:11,120 Speaker 1: about you know, there was a time when the parties 344 00:19:11,200 --> 00:19:14,120 Speaker 1: could at least make a show of working together. Now 345 00:19:14,160 --> 00:19:17,960 Speaker 1: we have so much polarization in this country and threats 346 00:19:17,960 --> 00:19:20,199 Speaker 1: of political violence as well. Of course, we saw what 347 00:19:20,240 --> 00:19:23,280 Speaker 1: happened with the Speaker's husband last week. How do we 348 00:19:23,359 --> 00:19:29,800 Speaker 1: get past this polarization in our politics? Governor, you gotta 349 00:19:29,800 --> 00:19:33,160 Speaker 1: turn down the rhetoric. First of all, Um, I don't 350 00:19:33,320 --> 00:19:35,520 Speaker 1: get partisan much, but I think a lot of what 351 00:19:35,600 --> 00:19:39,480 Speaker 1: Donald Trump was saying five years ago made the impermissible permissible. 352 00:19:39,960 --> 00:19:42,040 Speaker 1: I can say here in Connecticut, I think we have 353 00:19:42,160 --> 00:19:45,040 Speaker 1: lowered the temperature. I'm a business guy and a progressive, 354 00:19:45,160 --> 00:19:49,040 Speaker 1: so I do pretty well with both wings, the Republican 355 00:19:49,119 --> 00:19:51,800 Speaker 1: and Democrat. I work like heck to bring people together. 356 00:19:51,880 --> 00:19:55,159 Speaker 1: We've done a fair amount on a bipartisan basis, and 357 00:19:55,240 --> 00:19:57,879 Speaker 1: anything I could do in that way lowers the temperature, 358 00:19:58,320 --> 00:20:04,000 Speaker 1: respect the voting process. Democracy is not a spectator sport. Governor. 359 00:20:04,040 --> 00:20:07,000 Speaker 1: I want to ask you about violence in America at 360 00:20:07,040 --> 00:20:10,480 Speaker 1: the moment, specifically politically motivated violence in America. There's a 361 00:20:10,520 --> 00:20:13,679 Speaker 1: wide by partisan majority of Americans who are worried about 362 00:20:13,680 --> 00:20:15,639 Speaker 1: this issue, and I believe there's a new Washington Post 363 00:20:15,680 --> 00:20:18,640 Speaker 1: ABC News poll that shows nearly nine how to ten 364 00:20:18,760 --> 00:20:22,320 Speaker 1: Americans are concerned that political divisions have intensified to the 365 00:20:22,320 --> 00:20:25,320 Speaker 1: point that there's an increased risk of violence. Is something 366 00:20:25,320 --> 00:20:27,399 Speaker 1: we've certainly seen here in New York City and across 367 00:20:27,440 --> 00:20:30,000 Speaker 1: the country. I'm sad to say, but how do you 368 00:20:30,080 --> 00:20:38,080 Speaker 1: tackle that? Social media has been a really um that 369 00:20:38,119 --> 00:20:41,879 Speaker 1: pours gasoline on the flames, and people are watching that 370 00:20:42,080 --> 00:20:44,920 Speaker 1: and a lot of things that you never say in person. 371 00:20:45,280 --> 00:20:48,359 Speaker 1: You see gin dup uh. Some of that's political, some 372 00:20:48,480 --> 00:20:51,720 Speaker 1: of it's just um, you know, threats. Somebody going online 373 00:20:51,720 --> 00:20:53,679 Speaker 1: and making a threat about his school or something. What 374 00:20:53,680 --> 00:20:55,119 Speaker 1: do you do? Do you shut it down? How do 375 00:20:55,160 --> 00:20:59,520 Speaker 1: you how do you handle that? Um? Number one um, 376 00:20:59,560 --> 00:21:02,560 Speaker 1: Like I said, said, lower the temperature. I try and 377 00:21:02,640 --> 00:21:05,280 Speaker 1: lead by example. I'm not a very polarizing guy, at 378 00:21:05,320 --> 00:21:08,720 Speaker 1: least I hope I'm not. I think that makes a difference. 379 00:21:09,240 --> 00:21:11,800 Speaker 1: And I think as if you see something, say something. 380 00:21:11,840 --> 00:21:14,960 Speaker 1: When I see some of the anti Semitic and racist 381 00:21:15,000 --> 00:21:19,200 Speaker 1: things that get um in graffiti and other threats, you've 382 00:21:19,240 --> 00:21:21,720 Speaker 1: got to say something loud and clear. You can't do 383 00:21:21,760 --> 00:21:24,040 Speaker 1: everything by law. You gotta do a lot by attitude. 384 00:21:24,960 --> 00:21:27,520 Speaker 1: Got about a minute left here, and we appreciate your time. Governor. 385 00:21:27,560 --> 00:21:29,520 Speaker 1: We know you're focused, of course on your own re 386 00:21:29,680 --> 00:21:31,800 Speaker 1: election race, but we want to get your take on 387 00:21:31,920 --> 00:21:34,800 Speaker 1: what you see from the midterms. Lots of talk about 388 00:21:34,800 --> 00:21:37,520 Speaker 1: a potential red wave. Is that what you're seeing from 389 00:21:37,640 --> 00:21:43,680 Speaker 1: where you sit in Connecticut? I hope not. I um 390 00:21:43,720 --> 00:21:46,960 Speaker 1: sometimes divided government's not all bad. You force people to 391 00:21:47,000 --> 00:21:49,679 Speaker 1: the center and get things done. I think it was 392 00:21:49,720 --> 00:21:52,840 Speaker 1: a big red wave that would just be um gridlock. 393 00:21:52,920 --> 00:21:55,600 Speaker 1: I'm not sure that's what you want, but I think 394 00:21:55,640 --> 00:21:57,520 Speaker 1: you know, for the Democrats, you've got to take care 395 00:21:57,520 --> 00:22:01,160 Speaker 1: of the everyday bread and butter, kitchen tabe issues. That's 396 00:22:01,200 --> 00:22:03,920 Speaker 1: inflation and that's a crime. You've got to hit those hard. 397 00:22:04,200 --> 00:22:06,320 Speaker 1: We've done that here in Connecticut, and I think that's 398 00:22:06,320 --> 00:22:10,959 Speaker 1: a message that Democrats to take around the country. The governor, 399 00:22:11,040 --> 00:22:13,639 Speaker 1: we thank you so much for your time. Governor, A 400 00:22:13,680 --> 00:22:17,800 Speaker 1: real pleasure to have you on Bloomberg Radio. Governor Ned 401 00:22:17,880 --> 00:22:20,320 Speaker 1: Lamont of the great State of Connecticut. We thank you 402 00:22:20,359 --> 00:22:25,960 Speaker 1: as always. Let's get the take from our one only 403 00:22:26,119 --> 00:22:28,960 Speaker 1: Ed Ludlow are Bloomberg News West Coast correspondent. He joins 404 00:22:29,000 --> 00:22:31,920 Speaker 1: us from San Francisco, once again going nationwide, from DC 405 00:22:32,119 --> 00:22:35,959 Speaker 1: to New York to San Francisco. Ed, in the context 406 00:22:36,040 --> 00:22:40,240 Speaker 1: of today's jobs report, where you saw such strength across 407 00:22:40,240 --> 00:22:43,440 Speaker 1: the board, tech sending a very different message. Yeah, it's 408 00:22:43,440 --> 00:22:47,000 Speaker 1: been a really strange week. Um, let's stay out loud 409 00:22:47,080 --> 00:22:50,359 Speaker 1: that the layoffs at Twitter are sort of specific and 410 00:22:50,440 --> 00:22:53,400 Speaker 1: anomalous in the context of other tech layoffs, right, because 411 00:22:53,480 --> 00:22:56,920 Speaker 1: Musk is doing something specific there. But what we've heard 412 00:22:56,960 --> 00:22:59,359 Speaker 1: in the last twenty four hours is Stripe, one of 413 00:22:59,359 --> 00:23:02,240 Speaker 1: the biggest par companies, laying off fourteen percent of staff, 414 00:23:02,680 --> 00:23:06,359 Speaker 1: Lift the Right sharing platform laying off percent of staff, 415 00:23:06,560 --> 00:23:11,080 Speaker 1: Amazon pulling back on its corporate worker footprint and hiring. Um, 416 00:23:11,119 --> 00:23:14,600 Speaker 1: and there are many others. Um it is. It is 417 00:23:14,680 --> 00:23:18,640 Speaker 1: a picture incongruous with the macro picture painted by these 418 00:23:18,720 --> 00:23:23,199 Speaker 1: jobs numbers. But then again, this is about tech and 419 00:23:23,240 --> 00:23:26,359 Speaker 1: tech leaders and executives at these companies battening down the 420 00:23:26,400 --> 00:23:30,040 Speaker 1: hatches because they're acting what we believe are signs of 421 00:23:30,160 --> 00:23:33,240 Speaker 1: cracks in the strengths of the businesses that they're operating. 422 00:23:34,600 --> 00:23:37,320 Speaker 1: Now that I know, even following all the developments with 423 00:23:37,400 --> 00:23:41,040 Speaker 1: Twitter very closely since Elon Musk took over ownership. There's 424 00:23:41,080 --> 00:23:43,600 Speaker 1: been so many headlines just crossing in the last hour 425 00:23:43,840 --> 00:23:48,240 Speaker 1: here about employees getting two months severance pay once they 426 00:23:48,280 --> 00:23:50,960 Speaker 1: get let go, and now Elon Musk tweeting that the 427 00:23:51,000 --> 00:23:55,560 Speaker 1: company has seen a massive drop in revenue from advertisers 428 00:23:55,640 --> 00:23:57,760 Speaker 1: pulling out. What do you make of some of these 429 00:23:57,800 --> 00:24:00,320 Speaker 1: latest moves? Yes, so on on the staff them selves. 430 00:24:00,320 --> 00:24:02,920 Speaker 1: I mean, let's just call this what this is. It's 431 00:24:02,960 --> 00:24:06,440 Speaker 1: deeply unpleasant that many thousands of people are losing their jobs. 432 00:24:06,480 --> 00:24:08,640 Speaker 1: I think that's worth stating. And that's not me giving 433 00:24:08,640 --> 00:24:12,200 Speaker 1: an opinion. That's you know what I'm hearing from Twitter insiders, sources, 434 00:24:12,200 --> 00:24:14,160 Speaker 1: and many people that have been laid off that I've 435 00:24:14,200 --> 00:24:18,439 Speaker 1: spoken to. UM. The severance is not confirmed company wide. 436 00:24:18,880 --> 00:24:20,800 Speaker 1: We believe it will be sixty days, but in New 437 00:24:20,880 --> 00:24:24,720 Speaker 1: York City, for example, UM, I'm told that staff will 438 00:24:24,760 --> 00:24:28,000 Speaker 1: be kept as non working employees through February second. They 439 00:24:28,000 --> 00:24:31,520 Speaker 1: will be paid significant severance in that period, but they'll 440 00:24:31,520 --> 00:24:35,680 Speaker 1: also stay long enough for another UM batch of restricted 441 00:24:35,720 --> 00:24:38,919 Speaker 1: stock units to vest an rsu Cliff, which you know 442 00:24:39,000 --> 00:24:42,800 Speaker 1: is additional compensation. Musk has not addressed the issues of layoffs. 443 00:24:42,800 --> 00:24:45,320 Speaker 1: As you said, he tweeted that right now, he's not 444 00:24:45,359 --> 00:24:47,719 Speaker 1: talking about in the past, he's talking about in this moment, 445 00:24:48,119 --> 00:24:51,639 Speaker 1: Twitter's revenues being hit, advertisers are pulling back. That's a 446 00:24:51,640 --> 00:24:55,119 Speaker 1: concession from him. And why will Elon Musk's mind. What 447 00:24:55,240 --> 00:24:58,280 Speaker 1: he's saying is it's because these advertisers are being pressured 448 00:24:58,280 --> 00:25:01,000 Speaker 1: by lobby groups who are concerned about content moderation on 449 00:25:01,000 --> 00:25:04,800 Speaker 1: the platform. And I also read I believe when we're 450 00:25:04,800 --> 00:25:06,440 Speaker 1: new reporting, which I want to say your name was 451 00:25:06,480 --> 00:25:09,320 Speaker 1: on this, but I'm not sure, but this idea that 452 00:25:09,359 --> 00:25:12,080 Speaker 1: a lot of these Twitter employees who haven't yet heard 453 00:25:12,119 --> 00:25:15,840 Speaker 1: about their jobs actually joining unions, some of them even 454 00:25:15,840 --> 00:25:19,360 Speaker 1: already forming a Twitter alumni network. What does this due 455 00:25:19,359 --> 00:25:22,520 Speaker 1: to the credibility of Twitter as a company one it 456 00:25:22,560 --> 00:25:25,560 Speaker 1: does ultimately want to hire in the future. Yeah. Look, 457 00:25:26,359 --> 00:25:29,760 Speaker 1: before Musk took over Twitter as a company of people 458 00:25:30,119 --> 00:25:34,959 Speaker 1: across the world, Asia, EMA, New York City, San Francisco, 459 00:25:35,560 --> 00:25:39,439 Speaker 1: it had a very distinct company culture. Um. Much of 460 00:25:39,480 --> 00:25:43,200 Speaker 1: that was carried over from Jack Dawsey's leadership into paragag Row. 461 00:25:43,600 --> 00:25:45,400 Speaker 1: You know, some of the reporting we've done, for example, 462 00:25:45,440 --> 00:25:49,440 Speaker 1: is that Musk has taken pretty severe actions like canceling 463 00:25:49,800 --> 00:25:51,879 Speaker 1: what they call a day of rest, and there was 464 00:25:51,920 --> 00:25:54,159 Speaker 1: so much readership at this story on the terminal, I 465 00:25:54,160 --> 00:25:57,520 Speaker 1: couldn't believe it. So basically, you know, throughout the pandemic period, 466 00:25:57,960 --> 00:25:59,840 Speaker 1: there was one day month where Twitter staff were given 467 00:25:59,840 --> 00:26:02,320 Speaker 1: the day off to kind of recuperate, a day of rest, 468 00:26:02,359 --> 00:26:05,320 Speaker 1: and must got rid of that. Um, he's kind of 469 00:26:05,400 --> 00:26:07,119 Speaker 1: That's just one example of him. I'm doing the culture. 470 00:26:07,119 --> 00:26:09,800 Speaker 1: So on the unionization effort, Um, what does it mean 471 00:26:09,840 --> 00:26:12,159 Speaker 1: for Twitter long term? It's impossible to say. You know, 472 00:26:12,200 --> 00:26:14,080 Speaker 1: all I can tell you is that there are lots 473 00:26:14,119 --> 00:26:19,560 Speaker 1: of people UM at Twitter at all levels, whether it's sales, engineering, marketing, 474 00:26:19,920 --> 00:26:22,880 Speaker 1: who loved that company and are desperately sad that they've 475 00:26:22,920 --> 00:26:25,679 Speaker 1: been part of this layoff process. And and you know, 476 00:26:26,040 --> 00:26:29,520 Speaker 1: many people, I'm told by sources, we're trying to find 477 00:26:29,520 --> 00:26:32,159 Speaker 1: creative ways to stay. They volunteered for kind of the 478 00:26:32,160 --> 00:26:34,879 Speaker 1: projects that Musk was pushing, like Vine or the Twitter 479 00:26:34,880 --> 00:26:37,639 Speaker 1: Blue project, because they felt that if they volunteered for 480 00:26:37,680 --> 00:26:39,800 Speaker 1: such a project, they might be seen as sort of 481 00:26:39,800 --> 00:26:42,679 Speaker 1: willing and Musk might keep them. UM. But you know, 482 00:26:43,119 --> 00:26:46,440 Speaker 1: unionized Asian efforts across technology have been a mixed bag 483 00:26:46,480 --> 00:26:48,880 Speaker 1: this year. I think about Amazon for example, Guys, they've 484 00:26:48,880 --> 00:26:52,240 Speaker 1: had some successes but also some failures to um in 485 00:26:52,240 --> 00:26:55,720 Speaker 1: in unionizing different workplaces. Well just quickly, and we know 486 00:26:55,760 --> 00:26:58,520 Speaker 1: how resisting elon Musk is to unionization just from what 487 00:26:58,560 --> 00:27:01,560 Speaker 1: we've seen it. Tesla keeps going forward. And now when 488 00:27:01,560 --> 00:27:05,080 Speaker 1: we have a class action lawsuit against the layoffs on unfolding, 489 00:27:05,119 --> 00:27:09,320 Speaker 1: I mean, what could this mean for worker musk relations 490 00:27:09,359 --> 00:27:13,280 Speaker 1: in the new Twitter? Yes, so um Musk was sued. 491 00:27:13,440 --> 00:27:16,399 Speaker 1: Twitter was sued by a class action lawsuit here in 492 00:27:16,440 --> 00:27:21,160 Speaker 1: San Francisco. The accusation is that workers say the company 493 00:27:21,359 --> 00:27:24,160 Speaker 1: did these layoffs with the now without giving enough notice 494 00:27:24,200 --> 00:27:27,680 Speaker 1: based on federal law. I'm talking about warn notices right. Um. 495 00:27:27,720 --> 00:27:29,560 Speaker 1: We actually are still trying to report this out, but 496 00:27:29,600 --> 00:27:32,080 Speaker 1: I imagine that there will be a number of lawsuits 497 00:27:32,119 --> 00:27:35,560 Speaker 1: over the timing and how these layoffs were communicated, both 498 00:27:35,600 --> 00:27:39,719 Speaker 1: in line with federal and state laws. Bloomers at Luve 499 00:27:39,760 --> 00:27:42,879 Speaker 1: Law always a pleasure of joining us from San Francisco. 500 00:27:43,240 --> 00:27:46,480 Speaker 1: Never a day of rest. I don't know when he sleeps. 501 00:27:46,960 --> 00:27:49,119 Speaker 1: By the way, breaking news left and right on on 502 00:27:49,200 --> 00:27:51,720 Speaker 1: some of this for the organization. We thank you as 503 00:27:51,760 --> 00:27:57,480 Speaker 1: always for your time for your insight, Nathan. An exciting 504 00:27:57,560 --> 00:28:01,399 Speaker 1: day for us, headline number on for the for the 505 00:28:01,480 --> 00:28:04,520 Speaker 1: for the Job's day. For the market, perhaps not so 506 00:28:04,600 --> 00:28:06,720 Speaker 1: much because it doesn't feel like there's a clear message. 507 00:28:06,760 --> 00:28:11,800 Speaker 1: Two sixty one thousand jobs on an estimate of just one, right, 508 00:28:11,840 --> 00:28:13,760 Speaker 1: A little bit of a mixed bag when you see 509 00:28:13,760 --> 00:28:17,879 Speaker 1: that kind of strong creation number on the payrolls and 510 00:28:17,960 --> 00:28:20,560 Speaker 1: also a little bit of an uptick on the unemployment 511 00:28:20,680 --> 00:28:24,760 Speaker 1: rate as well. It's uh, maybe giving investors a little 512 00:28:24,760 --> 00:28:28,000 Speaker 1: bit of direction to look for, but certainly the direction 513 00:28:28,040 --> 00:28:30,240 Speaker 1: for the markets is up, up, up at the moment. 514 00:28:30,400 --> 00:28:32,800 Speaker 1: It is even as we start to see average hourly 515 00:28:32,840 --> 00:28:35,920 Speaker 1: earnings to hire as well the labor force participation rate 516 00:28:36,119 --> 00:28:38,160 Speaker 1: coming in line with estimates. But are we where we 517 00:28:38,240 --> 00:28:40,760 Speaker 1: need to be? And is the Federal Reserve happy with 518 00:28:40,800 --> 00:28:43,479 Speaker 1: this number. Let's bring in our next guest here, Jeffrey Cleveland, 519 00:28:43,520 --> 00:28:47,320 Speaker 1: chief economists over at Payden and Regal, to get his take. Jeffrey, 520 00:28:47,360 --> 00:28:51,560 Speaker 1: thank you as always for joining us this number that 521 00:28:51,600 --> 00:28:54,640 Speaker 1: we got from the Job's Report. From a fiscal perspective, 522 00:28:54,800 --> 00:28:58,880 Speaker 1: the Biden administration clearly celebrating more jobs in America. But 523 00:28:59,400 --> 00:29:02,440 Speaker 1: how much much of a margin of deceleration do we 524 00:29:02,520 --> 00:29:05,600 Speaker 1: need to really see the Federal r reserve excuse me, 525 00:29:06,040 --> 00:29:10,479 Speaker 1: perhaps take their foot off the book, Gospital. Well, I mean, 526 00:29:10,480 --> 00:29:12,280 Speaker 1: I tell you there's something for everyone in this report. 527 00:29:12,360 --> 00:29:14,840 Speaker 1: If you want to be bullish, you point to the 528 00:29:14,880 --> 00:29:18,000 Speaker 1: non farm payroll beat. You want to be bearished, then 529 00:29:18,080 --> 00:29:20,040 Speaker 1: maybe you point to the household survey in the rise 530 00:29:20,040 --> 00:29:22,640 Speaker 1: in the unemployment rate. So you can probably tell any 531 00:29:22,680 --> 00:29:25,760 Speaker 1: story you want to tell. I would tell you, though 532 00:29:25,800 --> 00:29:29,320 Speaker 1: you probably want to put more emphasis on the establishment survey. 533 00:29:29,480 --> 00:29:32,600 Speaker 1: And you know, if we're adding jobs, you know, the 534 00:29:32,640 --> 00:29:35,920 Speaker 1: three months average of almost two nine thousand jobs per 535 00:29:35,920 --> 00:29:40,200 Speaker 1: months in the last three months, this really strong job growth. Um, 536 00:29:40,360 --> 00:29:43,960 Speaker 1: the Fed you've talked to you listen to share Powell 537 00:29:44,120 --> 00:29:47,000 Speaker 1: the other day talking about the labor market being out 538 00:29:47,000 --> 00:29:50,600 Speaker 1: of balance, and um, certainly you know from the payroll 539 00:29:50,680 --> 00:29:53,960 Speaker 1: data today it's just confirmation of that you have very 540 00:29:54,040 --> 00:29:57,440 Speaker 1: strong job growth. So I think the Fed probably prefer 541 00:29:57,840 --> 00:30:01,040 Speaker 1: much slower job growth enough to get unemployment rate up 542 00:30:01,200 --> 00:30:05,120 Speaker 1: UM maybe a percentage point. So that would that would 543 00:30:05,200 --> 00:30:06,880 Speaker 1: mean I mean, if you do the math, you need 544 00:30:07,520 --> 00:30:09,920 Speaker 1: job growth really to stall out to fall under a 545 00:30:10,000 --> 00:30:13,440 Speaker 1: hundred thousand per month, and we're not seeing that two 546 00:30:13,480 --> 00:30:17,960 Speaker 1: hundred today, you know, Jeffrey. I wonder if a lot 547 00:30:18,000 --> 00:30:21,400 Speaker 1: of investors sort of took note of the commentary today 548 00:30:21,440 --> 00:30:25,360 Speaker 1: from Richmond FED President Thomas Barkins saying that we can 549 00:30:25,440 --> 00:30:28,120 Speaker 1: credibly say now that the FED has its foot on 550 00:30:28,160 --> 00:30:32,600 Speaker 1: the break, does this job's report can keep up the 551 00:30:32,600 --> 00:30:35,800 Speaker 1: case for them that they can start to slow down 552 00:30:35,920 --> 00:30:37,960 Speaker 1: on rates or does there need to be more data 553 00:30:38,000 --> 00:30:40,640 Speaker 1: coming in. I don't think that. I think it's too 554 00:30:40,640 --> 00:30:42,680 Speaker 1: soon to jump to that conclusion, but I have to 555 00:30:42,720 --> 00:30:45,320 Speaker 1: tell you, I mean again, you look at that household survey. 556 00:30:45,640 --> 00:30:47,800 Speaker 1: You could say, well, the unemployment rate rose a bit, 557 00:30:47,880 --> 00:30:50,280 Speaker 1: that's a sign of the economy slowing. I don't know 558 00:30:50,320 --> 00:30:54,480 Speaker 1: if I would say that it's very choppy, noisy survey. Um, 559 00:30:54,520 --> 00:30:56,840 Speaker 1: the unemployment rate has been kind of bouncing around where 560 00:30:56,840 --> 00:30:58,640 Speaker 1: it is now for for the better part of the 561 00:30:58,720 --> 00:31:02,600 Speaker 1: last six months. The household serve is really choppy. Um, 562 00:31:02,720 --> 00:31:04,840 Speaker 1: it's had some big gains and some in down months. 563 00:31:04,960 --> 00:31:07,640 Speaker 1: I don't know. I wouldn't I wouldn't confirm that. Also, 564 00:31:07,680 --> 00:31:09,960 Speaker 1: the wage growth data has slowed maybe a little bit 565 00:31:10,080 --> 00:31:12,520 Speaker 1: month to month. I think the increase today was point 566 00:31:12,560 --> 00:31:15,200 Speaker 1: four percent month to month, a little bit slower than 567 00:31:15,240 --> 00:31:17,640 Speaker 1: we saw, you know, earlier this year and then last year, 568 00:31:18,120 --> 00:31:20,560 Speaker 1: but point four month a month is still pretty strong 569 00:31:21,040 --> 00:31:24,320 Speaker 1: wage growth. We're hanging out around five percent year on 570 00:31:24,440 --> 00:31:28,000 Speaker 1: year wage growth, and that is not consistent, in my view, 571 00:31:28,400 --> 00:31:31,200 Speaker 1: with two percent inflation. I think it's far too soon 572 00:31:31,240 --> 00:31:33,200 Speaker 1: for the Fed to say they're they're putting the brakes 573 00:31:33,200 --> 00:31:36,720 Speaker 1: on here. Thank you, Jeffrey Cleveland. I'm so glad you 574 00:31:36,760 --> 00:31:39,600 Speaker 1: said that, because I literally have asked a lot of 575 00:31:39,600 --> 00:31:42,160 Speaker 1: economists on the show whether to a two percent inflation 576 00:31:42,200 --> 00:31:45,520 Speaker 1: target is actually reasonable um um in the long term 577 00:31:45,560 --> 00:31:49,080 Speaker 1: when you have this sticky wage inflation, uh that that 578 00:31:49,120 --> 00:31:52,080 Speaker 1: won't really go away. But I'm curious how that squares with, 579 00:31:52,240 --> 00:31:55,760 Speaker 1: for example, the Biden administrations moves to on shore a 580 00:31:55,840 --> 00:31:58,840 Speaker 1: lot of manufacturing on shore, a lot of production. Doesn't 581 00:31:58,880 --> 00:32:02,800 Speaker 1: that just create um a tailwind if you will, for 582 00:32:02,960 --> 00:32:04,840 Speaker 1: labor market that needs to have some of the steam 583 00:32:04,880 --> 00:32:09,719 Speaker 1: let out. It depends. I mean, in terms of inflation, 584 00:32:10,280 --> 00:32:13,200 Speaker 1: we have benefited from twenty five or thirty years of 585 00:32:13,360 --> 00:32:17,440 Speaker 1: globalization and technology. Where are our goods? The good side 586 00:32:17,480 --> 00:32:20,440 Speaker 1: of your CPI ledger if you will. Goods prices were 587 00:32:20,440 --> 00:32:23,120 Speaker 1: falling for most of that period. Um, so if on 588 00:32:23,240 --> 00:32:25,920 Speaker 1: shoring means it's going to be much more expensive to 589 00:32:25,960 --> 00:32:28,320 Speaker 1: produce goods, then you know that could be a problem 590 00:32:28,400 --> 00:32:31,760 Speaker 1: for overall inflation. The reason we had to present inflation 591 00:32:31,800 --> 00:32:33,640 Speaker 1: for the better part of two decades, you know, leading 592 00:32:33,680 --> 00:32:36,600 Speaker 1: into COVID, was that goods prices were falling and that 593 00:32:36,680 --> 00:32:40,400 Speaker 1: was off setting roughly three percent services inflation. So it 594 00:32:40,560 --> 00:32:43,560 Speaker 1: is to get back to that scenario. To get back 595 00:32:43,600 --> 00:32:45,760 Speaker 1: to that two percent story, you probably need to see 596 00:32:46,080 --> 00:32:48,480 Speaker 1: goods prices falling again, because I don't think we're going 597 00:32:48,520 --> 00:32:51,000 Speaker 1: to see a big distileration and services side. I don't 598 00:32:51,000 --> 00:32:53,040 Speaker 1: know if that makes sense, but that's that's how I 599 00:32:53,080 --> 00:32:55,600 Speaker 1: think about it. If we can on shore and still 600 00:32:55,600 --> 00:32:58,240 Speaker 1: produce goods very very cheaply, then and maybe that will 601 00:32:58,280 --> 00:33:00,360 Speaker 1: work out fine for the inflation story. We just have 602 00:33:00,480 --> 00:33:02,840 Speaker 1: to see. I think it's too soon to have a 603 00:33:02,840 --> 00:33:05,120 Speaker 1: really strong conviction on that on that part of the story. 604 00:33:05,280 --> 00:33:07,920 Speaker 1: So just thirty seconds left here, Jeffrey is to percent 605 00:33:08,040 --> 00:33:12,200 Speaker 1: a realistic inflation target not in the next twelve months, No, 606 00:33:12,840 --> 00:33:14,880 Speaker 1: I don't think so, just because what we're seeing on 607 00:33:14,920 --> 00:33:18,479 Speaker 1: the services side um and then the good side. We've 608 00:33:18,520 --> 00:33:21,320 Speaker 1: we've seen goods prices to decelerate, but there not enough, 609 00:33:21,360 --> 00:33:24,920 Speaker 1: and we're seeing very strong, as you know, services price growth, 610 00:33:25,080 --> 00:33:28,080 Speaker 1: everything for medical care services to rents. We'll get an 611 00:33:28,120 --> 00:33:32,360 Speaker 1: update next week. Right, I'm looking for another month of 612 00:33:32,440 --> 00:33:34,920 Speaker 1: point five percent months and months growth, so that is 613 00:33:35,160 --> 00:33:37,240 Speaker 1: very strong inflation. So it's it's hard to see two 614 00:33:37,240 --> 00:33:39,440 Speaker 1: percent in the next year. I'm so glad we had 615 00:33:39,440 --> 00:33:42,800 Speaker 1: this conversation, Jeffrey Cleveland. I just feel very relieved that 616 00:33:43,000 --> 00:33:46,240 Speaker 1: someone agrees with me. Jeffrey Cleveland, Chief Economists over at 617 00:33:46,280 --> 00:33:48,880 Speaker 1: Paydon Regal. We thank you, as always for your insight 618 00:33:49,240 --> 00:33:55,600 Speaker 1: in your time on this job day in America. Thanks 619 00:33:55,600 --> 00:33:59,080 Speaker 1: for listening to the Bloomberg Markets podcast. You can subscribe 620 00:33:59,080 --> 00:34:02,240 Speaker 1: and listen to interview is an Apple Podcasts or whatever 621 00:34:02,320 --> 00:34:06,000 Speaker 1: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 622 00:34:06,240 --> 00:34:10,080 Speaker 1: at Matt Miller three. On Fall Sweeney, I'm on Twitter 623 00:34:10,120 --> 00:34:12,919 Speaker 1: at pt Sweeney before the podcast. You can always catch 624 00:34:13,040 --> 00:34:14,600 Speaker 1: us worldwide at Bloomberg Radio