1 00:00:02,440 --> 00:00:09,119 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. You're listening to the 2 00:00:09,160 --> 00:00:13,280 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:13,360 --> 00:00:16,360 Speaker 1: Eastern on Affo, Cardplay and Android Auto with the Bloomberg 4 00:00:16,400 --> 00:00:19,720 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:19,960 --> 00:00:22,800 Speaker 1: or watch us live on YouTube. 6 00:00:23,520 --> 00:00:25,160 Speaker 2: Boeing is John Tucker is just reporting. 7 00:00:25,200 --> 00:00:27,680 Speaker 3: It looks like the leaders of the union and Boeing 8 00:00:27,720 --> 00:00:29,800 Speaker 3: they have an agreement. I think this is the third 9 00:00:29,800 --> 00:00:31,800 Speaker 3: agreement they're going to bring to the rank and file, 10 00:00:32,440 --> 00:00:34,560 Speaker 3: and let's see if the rank and file approves it, 11 00:00:34,560 --> 00:00:36,040 Speaker 3: because they've turned down the last two. 12 00:00:36,040 --> 00:00:38,440 Speaker 2: But it's thirty percent for four years and bonuses. 13 00:00:38,520 --> 00:00:38,800 Speaker 4: I don't know. 14 00:00:38,880 --> 00:00:40,800 Speaker 3: It sounds pretty good to me. Let's check it out 15 00:00:40,800 --> 00:00:45,960 Speaker 3: with Thomas Black. He's a Bloomberg opinion Columnisty covers logistics, manufacturing, aerospace. Thomas, 16 00:00:46,040 --> 00:00:48,080 Speaker 3: it seems like a good deal to me. But what 17 00:00:48,120 --> 00:00:50,760 Speaker 3: do I know what's going on here with Boeing in 18 00:00:50,800 --> 00:00:51,720 Speaker 3: their union these days. 19 00:00:52,920 --> 00:00:54,960 Speaker 5: Yeah, it looks like a quite a rich deal. 20 00:00:55,360 --> 00:00:57,440 Speaker 6: We'll see if the workers want to take it. They 21 00:00:58,200 --> 00:01:03,000 Speaker 6: they started out with a nominal twenty five percent rays 22 00:01:03,200 --> 00:01:05,560 Speaker 6: offer and it's now the thirty eight percent. 23 00:01:06,120 --> 00:01:08,520 Speaker 5: But if you compound that, which is how. 24 00:01:08,360 --> 00:01:12,199 Speaker 6: You should do it, it's a forty four percent raise 25 00:01:12,280 --> 00:01:13,119 Speaker 6: over four years. 26 00:01:13,160 --> 00:01:14,679 Speaker 5: So that's pretty chunky. 27 00:01:15,480 --> 00:01:18,680 Speaker 7: I mean, when we think about these negotiations back and forth, 28 00:01:18,760 --> 00:01:20,559 Speaker 7: does this seem to be lengthy? I mean, I'm thinking 29 00:01:20,560 --> 00:01:23,000 Speaker 7: back to the writer's strike that went on for some time, 30 00:01:23,040 --> 00:01:25,000 Speaker 7: and you have to really hit a middle place to 31 00:01:25,040 --> 00:01:28,039 Speaker 7: where everyone's coming to a compromise. How do we think 32 00:01:28,080 --> 00:01:30,679 Speaker 7: about this with Boeing moving forward and getting production back 33 00:01:30,680 --> 00:01:32,040 Speaker 7: to what it is looking for. 34 00:01:33,600 --> 00:01:38,039 Speaker 6: Well, the workers have all the power right now. They 35 00:01:38,120 --> 00:01:40,800 Speaker 6: really do have quite a bit of leverage, and that's 36 00:01:40,800 --> 00:01:44,280 Speaker 6: why Boeing has taken so much time trying to settle this. 37 00:01:45,200 --> 00:01:49,000 Speaker 6: The Boeing is in bad shape financially, they're losing money. 38 00:01:49,600 --> 00:01:52,480 Speaker 6: They have customers who are climbering for aircraft. They have 39 00:01:52,840 --> 00:01:56,600 Speaker 6: suppliers who are trying to figure out production schedules so 40 00:01:56,640 --> 00:02:01,520 Speaker 6: that they can ramp up their production. So Boeing really 41 00:02:01,520 --> 00:02:04,040 Speaker 6: needs to get its plants started. So the workers know 42 00:02:04,120 --> 00:02:07,200 Speaker 6: this and that's why they've been holding out. And they've 43 00:02:07,360 --> 00:02:08,920 Speaker 6: got a deal on the table. Let's see if they 44 00:02:08,960 --> 00:02:11,360 Speaker 6: take it. If they don't, I think there's a little 45 00:02:11,360 --> 00:02:15,000 Speaker 6: bit of an anger issue maybe there, Maybe the workers 46 00:02:15,040 --> 00:02:18,240 Speaker 6: want to lash out at the company because ten years 47 00:02:18,280 --> 00:02:20,560 Speaker 6: ago they did get a raw deal from the company 48 00:02:20,600 --> 00:02:21,720 Speaker 6: when it had the upper hand. 49 00:02:21,840 --> 00:02:23,160 Speaker 5: So the tables have turned. 50 00:02:23,400 --> 00:02:25,440 Speaker 6: But now we're going to see Monday if they're going 51 00:02:25,480 --> 00:02:27,520 Speaker 6: to accept this deal and get production cranking up. 52 00:02:28,200 --> 00:02:30,600 Speaker 3: So, Thomas, when you talk to people kind of within 53 00:02:30,680 --> 00:02:34,800 Speaker 3: the process on both sides here, what's the feeling. I 54 00:02:34,800 --> 00:02:36,519 Speaker 3: mean at the end of the day, is that it 55 00:02:36,639 --> 00:02:37,840 Speaker 3: just a numbers thing. 56 00:02:37,919 --> 00:02:40,239 Speaker 2: Is it thirty eight percent? No, I want forty two percent? 57 00:02:40,360 --> 00:02:42,720 Speaker 3: Or is there other issues that are out there that 58 00:02:42,760 --> 00:02:46,640 Speaker 3: are challenging here, because it's surprising that they haven't that 59 00:02:46,639 --> 00:02:48,800 Speaker 3: they I guess that it's surprising that the negotiations has 60 00:02:48,800 --> 00:02:49,639 Speaker 3: been so difficult. 61 00:02:49,639 --> 00:02:50,560 Speaker 2: What do you think they're looking for? 62 00:02:51,360 --> 00:02:54,399 Speaker 6: Yeah, I think the workers really wanted to reinstate their 63 00:02:54,480 --> 00:02:58,679 Speaker 6: defined benefit pension plan, which again ten years ago that 64 00:02:59,600 --> 00:03:03,320 Speaker 6: was taken away from them. As you know, those plans 65 00:03:03,639 --> 00:03:07,639 Speaker 6: have been declining over the decades. There are very few 66 00:03:07,720 --> 00:03:11,960 Speaker 6: out there right where you get a certain monthly retirement 67 00:03:12,000 --> 00:03:15,079 Speaker 6: stipen and that lasts for the rest of your life. 68 00:03:15,480 --> 00:03:17,760 Speaker 6: It's now all the four to one K savings plan. 69 00:03:17,880 --> 00:03:20,600 Speaker 6: So they were really trying to bring that back, which 70 00:03:21,200 --> 00:03:25,720 Speaker 6: would be unprecedented. This deal does not do that. So 71 00:03:25,760 --> 00:03:28,520 Speaker 6: we'll see if the pay ray was enough. And there's 72 00:03:28,560 --> 00:03:33,160 Speaker 6: also a twelve thousand dollars signing bonus to sweeten the deals. 73 00:03:33,200 --> 00:03:35,440 Speaker 6: So we'll just see if the workers are willing to 74 00:03:35,480 --> 00:03:35,880 Speaker 6: accept this. 75 00:03:36,880 --> 00:03:39,000 Speaker 7: As you know in your story, there's not one, but 76 00:03:39,080 --> 00:03:42,760 Speaker 7: two issues. Of course, you have the strike here, but additionally, 77 00:03:42,840 --> 00:03:44,640 Speaker 7: on the other end, we have to talk about this 78 00:03:44,840 --> 00:03:48,800 Speaker 7: fragile supply chain environment for the company. When you're talking 79 00:03:48,800 --> 00:03:51,800 Speaker 7: to sources and just research more broadly, what does it 80 00:03:51,840 --> 00:03:53,520 Speaker 7: seem as though it will be the next thing to 81 00:03:53,600 --> 00:03:56,760 Speaker 7: push Boeing forward? I mean this is still a lingering 82 00:03:56,800 --> 00:03:58,120 Speaker 7: issue for them. 83 00:03:58,760 --> 00:04:01,640 Speaker 5: Yeah, well, they Boeing has all kinds of problems in 84 00:04:01,680 --> 00:04:05,760 Speaker 5: its factory floor. They've had quality issues, They've had work 85 00:04:06,720 --> 00:04:10,960 Speaker 5: coming in at different stages that's got them out of sequence, 86 00:04:11,000 --> 00:04:14,120 Speaker 5: and that's caused all kinds of problems. They've had supplier 87 00:04:14,240 --> 00:04:17,040 Speaker 5: quality issues, so that they've got some real problems to tackle. 88 00:04:17,080 --> 00:04:19,480 Speaker 5: Now this is really just the first step is to 89 00:04:19,520 --> 00:04:24,680 Speaker 5: get workers back in the factories. Number one issue for 90 00:04:25,160 --> 00:04:27,800 Speaker 5: Kelly Orkberg, the CEO at Boeing, is to heal the 91 00:04:27,880 --> 00:04:29,360 Speaker 5: rift with the employers. 92 00:04:29,440 --> 00:04:32,359 Speaker 6: They have to get them on board and really change 93 00:04:32,400 --> 00:04:35,599 Speaker 6: the culture on the factory floor so that they're making 94 00:04:35,640 --> 00:04:37,760 Speaker 6: those quality planes and very efficiently. 95 00:04:38,600 --> 00:04:42,160 Speaker 5: On the other side, it's the suppliers. The suppliers have 96 00:04:42,240 --> 00:04:43,600 Speaker 5: been whiplashed quite a bit. 97 00:04:43,720 --> 00:04:45,800 Speaker 6: It was the pandemic that hurt them, and then we 98 00:04:45,880 --> 00:04:49,760 Speaker 6: had the Max grounding because of the fatal crashes there, 99 00:04:49,800 --> 00:04:52,760 Speaker 6: and we had problems with the seven eighty seven aircraft 100 00:04:52,760 --> 00:04:56,000 Speaker 6: that was grounded for a while, so they've really had 101 00:04:56,080 --> 00:05:00,000 Speaker 6: they haven't been able to just produce regularly. They've had 102 00:05:00,040 --> 00:05:03,720 Speaker 6: at all kinds of on and off situations with Boeing, 103 00:05:03,839 --> 00:05:07,240 Speaker 6: so that healing that supplier base is key as well too. 104 00:05:07,960 --> 00:05:10,279 Speaker 6: So the good thing about Boeing is that they don't 105 00:05:10,279 --> 00:05:11,960 Speaker 6: have to worry about the customers. 106 00:05:12,279 --> 00:05:15,080 Speaker 5: The customers want the planes. The planes are on order, 107 00:05:15,120 --> 00:05:16,919 Speaker 5: they have a massive backlog. 108 00:05:17,480 --> 00:05:20,760 Speaker 6: They really just need to get their production up and 109 00:05:20,960 --> 00:05:25,080 Speaker 6: ramp it up and show the regulators the FAA that 110 00:05:25,160 --> 00:05:28,640 Speaker 6: they can make quality planes and then they'll be in 111 00:05:28,680 --> 00:05:29,919 Speaker 6: good shape, all right. 112 00:05:29,960 --> 00:05:31,440 Speaker 2: Thomas Black, thank you so much for joining us. 113 00:05:31,440 --> 00:05:35,000 Speaker 3: Thomas Blanky's a Columnstrom Bloomberg opinion covering all the logistics stuff, 114 00:05:35,000 --> 00:05:36,279 Speaker 3: talking about Boeing. 115 00:05:36,279 --> 00:05:36,440 Speaker 2: Here. 116 00:05:36,520 --> 00:05:41,640 Speaker 1: Now you're listening to the Bloomberg Intelligence Podcast. Catch us 117 00:05:41,680 --> 00:05:45,080 Speaker 1: live weekdays at ten am Eastern on applecar Play and 118 00:05:45,080 --> 00:05:48,000 Speaker 1: Android Auto with the Bloomberg Business app. You can also 119 00:05:48,080 --> 00:05:51,560 Speaker 1: listen live on Amazon Alexa from our flagship New York station. 120 00:05:51,920 --> 00:05:54,719 Speaker 1: Just say Alexa Play Bloomberg eleven thirty. 121 00:05:55,960 --> 00:05:58,080 Speaker 3: Let's get back to the economic data of the day. 122 00:05:58,080 --> 00:05:59,960 Speaker 3: That's the jobs number came in with With the next 123 00:06:00,000 --> 00:06:02,200 Speaker 3: A lot of folks said they get ready for that. 124 00:06:02,240 --> 00:06:02,800 Speaker 2: It was to be. 125 00:06:02,760 --> 00:06:05,160 Speaker 3: Expected with hurricanes and strikes and all that kind of stuff. 126 00:06:05,240 --> 00:06:07,080 Speaker 3: Let's check in with an expert here, Jenny Biley. She's 127 00:06:07,120 --> 00:06:10,120 Speaker 3: a division president at Employe Bridge. Jenny, what did you 128 00:06:10,200 --> 00:06:12,360 Speaker 3: take out of the labor number today? 129 00:06:13,320 --> 00:06:18,599 Speaker 8: Yeah, this was a tough report. Certainly, I kind of 130 00:06:18,600 --> 00:06:20,359 Speaker 8: will refer to it a little bit as maybe this 131 00:06:20,520 --> 00:06:24,000 Speaker 8: was the October surprise that everyone was always waiting for. 132 00:06:24,080 --> 00:06:28,000 Speaker 8: But we know that many of these job cuts, you 133 00:06:28,040 --> 00:06:30,120 Speaker 8: know that are happening. A lot of it came from 134 00:06:30,200 --> 00:06:35,039 Speaker 8: the impacts of the hurricane and the strikes. However, most 135 00:06:35,040 --> 00:06:37,880 Speaker 8: of the job growth that we've discussed this before on 136 00:06:37,920 --> 00:06:41,560 Speaker 8: your program, most of the job growth is really coming 137 00:06:41,640 --> 00:06:45,680 Speaker 8: from the government sector and the healthcare sector. So if 138 00:06:45,720 --> 00:06:50,200 Speaker 8: you look at this private number, we actually lost jobs. 139 00:06:50,240 --> 00:06:54,640 Speaker 8: If you back out the government gain of forty thousand, 140 00:06:54,240 --> 00:06:56,880 Speaker 8: we would have lost jobs. A private sector would have 141 00:06:56,920 --> 00:07:01,800 Speaker 8: lost twenty eight thousand. So this this is a concerning report. 142 00:07:01,920 --> 00:07:05,680 Speaker 8: Even with the hurricane and even with the strikes. You know, 143 00:07:05,800 --> 00:07:11,760 Speaker 8: across the board, many of the sectors are really losing jobs, 144 00:07:11,800 --> 00:07:17,200 Speaker 8: and especially you know, that manufacturing number had a loss 145 00:07:17,480 --> 00:07:20,400 Speaker 8: of I believe forty six thousand jobs. And then the 146 00:07:20,440 --> 00:07:25,720 Speaker 8: sector that I'm in, the temporary help sector, lost almost 147 00:07:25,760 --> 00:07:30,200 Speaker 8: fifty thousand jobs, and so that is concerning as well. 148 00:07:30,360 --> 00:07:33,560 Speaker 8: You can see that companies are still very cautious to hire, 149 00:07:34,160 --> 00:07:37,960 Speaker 8: and they're letting their temporary workers, you know, go first 150 00:07:38,040 --> 00:07:42,040 Speaker 8: as they try to hold on to their permanent payrolls 151 00:07:42,040 --> 00:07:43,240 Speaker 8: and permanent employees. 152 00:07:44,040 --> 00:07:46,400 Speaker 7: I mean, we're just under a week away from the 153 00:07:46,440 --> 00:07:48,440 Speaker 7: next FED meeting, and of course this is going to 154 00:07:48,440 --> 00:07:51,000 Speaker 7: be some data that the Federal Reserve will be parsing. 155 00:07:51,360 --> 00:07:53,520 Speaker 7: How should we be thinking about this in the context 156 00:07:53,640 --> 00:07:56,560 Speaker 7: of the rate cut environment and what trajectory could look 157 00:07:56,600 --> 00:07:59,720 Speaker 7: like at this next meeting and beyond, well, you. 158 00:07:59,680 --> 00:08:02,000 Speaker 8: Know, I think the Fed will really dig into this 159 00:08:02,120 --> 00:08:07,600 Speaker 8: report because it's not just the October numbers that look 160 00:08:07,720 --> 00:08:11,640 Speaker 8: so soft, but they also went back and revised the 161 00:08:11,720 --> 00:08:15,200 Speaker 8: prior two months downward and took another one hundred and 162 00:08:15,280 --> 00:08:20,360 Speaker 8: twelve thousand jobs out of the job market. So I 163 00:08:20,360 --> 00:08:23,320 Speaker 8: think the FED will be looking at this report and saying, 164 00:08:23,320 --> 00:08:26,080 Speaker 8: you know, the job the job market is not as 165 00:08:26,160 --> 00:08:30,640 Speaker 8: strong as maybe we thought it was, and we are 166 00:08:30,680 --> 00:08:33,880 Speaker 8: starting to see even though wages are still up, I 167 00:08:33,920 --> 00:08:38,280 Speaker 8: can tell you wages are starting to soften. They're certainly 168 00:08:38,320 --> 00:08:42,480 Speaker 8: not keeping up, you know, with inflationary costs. So I 169 00:08:42,559 --> 00:08:46,240 Speaker 8: do believe that the FED will look at this report 170 00:08:46,280 --> 00:08:49,000 Speaker 8: and look at these numbers and what's happening with unemployment, 171 00:08:49,720 --> 00:08:54,319 Speaker 8: the participation rate, where the job growth is coming from, 172 00:08:54,720 --> 00:08:57,200 Speaker 8: and realized that, you know, this is this is a 173 00:08:57,200 --> 00:09:01,800 Speaker 8: bit of a challenging job market. And in other reports too, 174 00:09:01,840 --> 00:09:06,080 Speaker 8: we are seeing, you know, increase in layoffs and many sectors, 175 00:09:06,200 --> 00:09:09,520 Speaker 8: I know, the challenger in Gray report came out and 176 00:09:09,640 --> 00:09:13,080 Speaker 8: again showed, you know that layoffs continue to happen. So 177 00:09:13,559 --> 00:09:16,400 Speaker 8: there are certainly some concerns out there in this in 178 00:09:16,440 --> 00:09:18,480 Speaker 8: this job market JO just. 179 00:09:18,440 --> 00:09:23,160 Speaker 3: Thirty seconds left here, the wage inflation or the wage 180 00:09:23,440 --> 00:09:25,600 Speaker 3: four percent seems pretty solid to me, but you see 181 00:09:25,640 --> 00:09:27,000 Speaker 3: some a little bit of concern out there. 182 00:09:27,840 --> 00:09:28,080 Speaker 4: I do. 183 00:09:28,200 --> 00:09:32,760 Speaker 8: I think employers have you know, been increasing wages really 184 00:09:32,800 --> 00:09:35,920 Speaker 8: for quite a few years, and at this point, with 185 00:09:37,040 --> 00:09:39,840 Speaker 8: where the job market is, I think that that's going 186 00:09:39,880 --> 00:09:43,959 Speaker 8: to just flatten off. That's what we're hearing from employers, 187 00:09:44,120 --> 00:09:48,840 Speaker 8: you know, large employers, mid size employers, they're really watching 188 00:09:49,240 --> 00:09:52,040 Speaker 8: their labor costs and they're having to be more conservative. 189 00:09:52,440 --> 00:09:54,199 Speaker 3: Johnny, thank you so much for joining us. We always 190 00:09:54,240 --> 00:09:57,319 Speaker 3: appreciate chatting with you on these important jobs days. Joinny Biley. 191 00:09:57,360 --> 00:10:02,040 Speaker 3: She's a chief workforce analyst at employee Bridge, joining us 192 00:10:02,240 --> 00:10:05,600 Speaker 3: via zoom here again, the nonfarm payroll came in at 193 00:10:05,640 --> 00:10:08,720 Speaker 3: twelve thousand. The consensus essmenate was for one hundred thousand. 194 00:10:09,000 --> 00:10:11,320 Speaker 3: Last month was two hundred and fifty four thousand. A 195 00:10:11,320 --> 00:10:13,280 Speaker 3: lot of economs to say, you know, there's hurricane effects, 196 00:10:13,320 --> 00:10:16,880 Speaker 3: there's layoff effects, so got to take that into account. 197 00:10:18,040 --> 00:10:21,959 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 198 00:10:22,040 --> 00:10:24,719 Speaker 1: weekdays at ten am Eastern on AFO, card playing and 199 00:10:24,840 --> 00:10:27,760 Speaker 1: broud Otto with the Bloomberg Business app. Listen on demand 200 00:10:27,800 --> 00:10:32,120 Speaker 1: wherever you get your podcasts or watch us live on YouTube. 201 00:10:32,880 --> 00:10:35,960 Speaker 3: Let's stay on the labor front here and get a 202 00:10:36,000 --> 00:10:40,400 Speaker 3: sense of kind of where we are in terms of DEI. 203 00:10:39,960 --> 00:10:42,280 Speaker 7: Diversity, equity and inclusion. 204 00:10:42,320 --> 00:10:43,199 Speaker 2: Equity and inclusion. 205 00:10:43,280 --> 00:10:46,400 Speaker 3: Thank you very much. It seems I'm not sure it's 206 00:10:46,440 --> 00:10:49,280 Speaker 3: waxing or waning, and some companies are backing away from it. 207 00:10:49,360 --> 00:10:51,920 Speaker 3: Someone companies continue to lean into it. Alan Schwyer joins us. 208 00:10:52,080 --> 00:10:54,000 Speaker 3: He is a principal researcher of human capital at the 209 00:10:54,000 --> 00:10:54,679 Speaker 3: Conference Board. 210 00:10:55,559 --> 00:10:57,480 Speaker 2: Alan, thanks so much for joining us here. 211 00:10:57,480 --> 00:11:01,520 Speaker 3: As we think about DEI, we've seen some fairly high profile, 212 00:11:01,640 --> 00:11:04,360 Speaker 3: publicly traded companies kind of back away a little bit 213 00:11:04,400 --> 00:11:05,800 Speaker 3: from that. Can you give us a sense kind of 214 00:11:05,800 --> 00:11:09,480 Speaker 3: where we are on diversity, equity and inclusion in corporate America? 215 00:11:10,679 --> 00:11:13,600 Speaker 9: Yeah, sure, you know, I think there are a lot 216 00:11:13,640 --> 00:11:17,760 Speaker 9: of reports of organizations moving away from DEI or backing off, 217 00:11:18,280 --> 00:11:22,119 Speaker 9: if not canceling DEI, but they're they're very much the minority. 218 00:11:22,920 --> 00:11:25,600 Speaker 9: Our research over the past year and those that of 219 00:11:25,640 --> 00:11:29,720 Speaker 9: others really shows that about eighty to ninety percent of 220 00:11:29,840 --> 00:11:34,439 Speaker 9: organizations are holding the course or expanding their DEI programs. 221 00:11:34,520 --> 00:11:37,760 Speaker 9: So we think it's maybe gets a little more attention 222 00:11:37,920 --> 00:11:41,880 Speaker 9: when when someone you know quits their d I programs, 223 00:11:41,880 --> 00:11:43,600 Speaker 9: but the great majority are holding firm. 224 00:11:44,240 --> 00:11:46,120 Speaker 7: I mean, what have been the effects? I mean, of course, 225 00:11:46,160 --> 00:11:49,600 Speaker 7: we know last year the Supreme Court did reverse affirmative action. 226 00:11:49,679 --> 00:11:51,760 Speaker 7: The ruling there has that had an impact at all 227 00:11:51,760 --> 00:11:54,080 Speaker 7: when we think about hiring in the corporate America space. 228 00:11:55,679 --> 00:11:59,480 Speaker 9: Yeah, it has. You know, technically the Supreme Court ruling 229 00:11:59,520 --> 00:12:02,760 Speaker 9: because this IDOL six does not have an impact on 230 00:12:02,800 --> 00:12:05,040 Speaker 9: the workforce, but we know that it has a chilling 231 00:12:05,040 --> 00:12:09,560 Speaker 9: effect on DEI programs. In fact, our most recent research 232 00:12:09,600 --> 00:12:13,640 Speaker 9: shows that more than two thirds of executives say that 233 00:12:13,720 --> 00:12:16,480 Speaker 9: it is putting a negative having a negative effect on 234 00:12:16,520 --> 00:12:20,960 Speaker 9: their DEI programs. So yeah, I mean, the Supreme Court 235 00:12:20,960 --> 00:12:23,679 Speaker 9: decision has certainly made an impact. 236 00:12:25,320 --> 00:12:28,040 Speaker 3: What are you seeing from workers themselves? What are workers 237 00:12:28,240 --> 00:12:31,800 Speaker 3: looking for? Are they embracing DEI? Is this something they 238 00:12:31,800 --> 00:12:33,960 Speaker 3: feel has value within their workplace? 239 00:12:35,200 --> 00:12:35,440 Speaker 1: Yeah. 240 00:12:35,480 --> 00:12:38,400 Speaker 9: We just surveyed the US workforce. We had a big sample, 241 00:12:38,480 --> 00:12:42,960 Speaker 9: almost fourteen hundred workers, managers and up to the director level, 242 00:12:43,600 --> 00:12:47,360 Speaker 9: and workers are saying they want DEI. In fact, the 243 00:12:47,400 --> 00:12:50,920 Speaker 9: majorities say they would not work or would only reluctantly 244 00:12:50,960 --> 00:12:54,280 Speaker 9: work in an organization that does not take DEI seriously. 245 00:12:54,640 --> 00:12:59,000 Speaker 9: So that's a powerful signal, and it differs between groups 246 00:12:59,160 --> 00:13:03,000 Speaker 9: at work, but over all, the majority of workers do 247 00:13:03,160 --> 00:13:05,880 Speaker 9: want to see DEI initiatives and want to work in 248 00:13:05,920 --> 00:13:08,400 Speaker 9: diverse organizations, according to our research. 249 00:13:08,679 --> 00:13:11,320 Speaker 7: So from an investor perspective, of course, people are really 250 00:13:11,360 --> 00:13:14,040 Speaker 7: thinking about returns. Have there has there been any data 251 00:13:14,080 --> 00:13:17,319 Speaker 7: to show that this actually impacts returns from companies. 252 00:13:18,320 --> 00:13:20,280 Speaker 9: No, it's a good question, and it's very hard to 253 00:13:20,400 --> 00:13:24,640 Speaker 9: link DEI programs directly to financial incomes, but we know 254 00:13:24,720 --> 00:13:28,000 Speaker 9: that it does drive engagement. In fact, our survey respondents 255 00:13:28,040 --> 00:13:33,000 Speaker 9: tell us that it improves engagement, improves belonging, improves inclusion, 256 00:13:33,520 --> 00:13:36,640 Speaker 9: and improves retention. And if it does those things, then 257 00:13:37,120 --> 00:13:39,480 Speaker 9: you know, naturally there's a there's a link, but it's 258 00:13:39,520 --> 00:13:42,600 Speaker 9: not a direct link to financial performance. 259 00:13:44,400 --> 00:13:48,520 Speaker 3: So Dan, what's the Are there certain industries within corporate 260 00:13:48,559 --> 00:13:51,720 Speaker 3: America that are more on board with DEI versus maybe 261 00:13:52,000 --> 00:13:52,560 Speaker 3: some others. 262 00:13:53,880 --> 00:13:58,520 Speaker 9: Yeah, in this research, we found that the services sector 263 00:13:58,920 --> 00:14:02,760 Speaker 9: is you know, the responses from employees in the services 264 00:14:02,880 --> 00:14:08,200 Speaker 9: sector are certainly stronger than in the core manufacturing type 265 00:14:08,520 --> 00:14:16,640 Speaker 9: industries and not unexpected. But again, overall, the workers want 266 00:14:16,679 --> 00:14:19,520 Speaker 9: to see more D. But you're right in certain industries 267 00:14:19,560 --> 00:14:25,440 Speaker 9: there is a stronger preference for more DEI programs than 268 00:14:25,440 --> 00:14:25,920 Speaker 9: in others. 269 00:14:26,480 --> 00:14:29,680 Speaker 7: Can you also speak to particular age demographics. Is there 270 00:14:29,720 --> 00:14:34,800 Speaker 7: any difference in terms of which generations are embracing the push? 271 00:14:34,920 --> 00:14:37,520 Speaker 9: Yeah, and this is really important, I think too, because 272 00:14:38,560 --> 00:14:41,040 Speaker 9: I don't think anyone will be really surprised to hear 273 00:14:41,080 --> 00:14:46,800 Speaker 9: that the younger generations, millennials and Gen Z are more 274 00:14:46,840 --> 00:14:52,800 Speaker 9: in favor, more demand, more DEI expect more than older generations. 275 00:14:53,520 --> 00:14:56,560 Speaker 9: And we know that those generations will form sixty percent 276 00:14:56,640 --> 00:14:59,360 Speaker 9: or more of the workforce by twenty thirty. You know, 277 00:15:00,080 --> 00:15:04,040 Speaker 9: I may the same is true for women and minorities. 278 00:15:04,400 --> 00:15:08,160 Speaker 9: Women and minorities are already the majority of the workforce 279 00:15:08,280 --> 00:15:12,600 Speaker 9: and have much greater expectation in demand for D in 280 00:15:12,640 --> 00:15:15,920 Speaker 9: the workforce. So we think, you know, demographics are destiny. 281 00:15:16,000 --> 00:15:19,560 Speaker 9: This is happening very quickly. In an organization that really 282 00:15:19,600 --> 00:15:23,560 Speaker 9: actively resists this will probably struggle to survive, I mean, 283 00:15:23,600 --> 00:15:26,320 Speaker 9: from finding talent and even finding customers. 284 00:15:26,600 --> 00:15:28,600 Speaker 7: With about thirty seconds, I am looking at this story 285 00:15:28,600 --> 00:15:31,800 Speaker 7: that says Boeing dismantles DEI team as pressure builds on 286 00:15:31,840 --> 00:15:34,720 Speaker 7: the new CEO. Have you seen a shift of corporate 287 00:15:35,240 --> 00:15:38,320 Speaker 7: different companies actually push moving away from DEI and not 288 00:15:38,400 --> 00:15:42,120 Speaker 7: really seeing it as a priority. 289 00:15:42,200 --> 00:15:42,400 Speaker 1: Yeah. 290 00:15:42,440 --> 00:15:46,200 Speaker 9: I think more are moving away from the terms. They 291 00:15:46,200 --> 00:15:49,960 Speaker 9: can be a lightning rod, and they're focusing on the 292 00:15:50,000 --> 00:15:51,280 Speaker 9: work more than the words. 293 00:15:52,720 --> 00:15:53,160 Speaker 10: For sure. 294 00:15:53,320 --> 00:15:58,080 Speaker 9: Some are backing away, you know, more comprehensively. Most are 295 00:15:58,160 --> 00:16:01,920 Speaker 9: changing how they describe it, continuing with the work. 296 00:16:01,680 --> 00:16:03,480 Speaker 3: All right, We'll see how it plays out. Certainly a 297 00:16:03,520 --> 00:16:06,880 Speaker 3: big part of the culture here at Bloomberg. Alan Schwier, 298 00:16:07,080 --> 00:16:09,640 Speaker 3: Principal researcher of Human Capital at the Conference Board, joining 299 00:16:09,680 --> 00:16:13,160 Speaker 3: us from Charleston, South Carolina. 300 00:16:17,400 --> 00:16:21,280 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 301 00:16:21,360 --> 00:16:24,880 Speaker 1: weekdays at ten am Eastern on applecard Play and Android 302 00:16:24,920 --> 00:16:28,080 Speaker 1: Auto with the Bloomberg Business. You can also listen live 303 00:16:28,160 --> 00:16:31,320 Speaker 1: on Amazon Alexa from our flagship New York station, Just 304 00:16:31,400 --> 00:16:34,760 Speaker 1: Say Alexa playing Bloomberg eleven thirty. 305 00:16:35,760 --> 00:16:37,920 Speaker 3: David Weady joins us. He's one of the reporters on 306 00:16:37,960 --> 00:16:40,080 Speaker 3: that story. He's an energy reporter for Bloomberg News. This 307 00:16:40,120 --> 00:16:41,880 Speaker 3: is our big take story, and we love the big 308 00:16:41,920 --> 00:16:46,280 Speaker 3: take stories on Bloomberg. Here, David, how is the oil 309 00:16:46,320 --> 00:16:50,120 Speaker 3: and gas industry becoming more productive at in the field. 310 00:16:51,120 --> 00:16:54,120 Speaker 11: Yeah, this was something that really surprised us in the 311 00:16:54,160 --> 00:16:57,480 Speaker 11: oil industry for how far it spanned beyond just the 312 00:16:57,520 --> 00:17:00,680 Speaker 11: industry itself into other parts of the ECONO. They're doing 313 00:17:00,680 --> 00:17:01,840 Speaker 11: it just through little ways. 314 00:17:02,520 --> 00:17:03,080 Speaker 2: You know. 315 00:17:03,160 --> 00:17:05,560 Speaker 11: Your first guess, you might think, oh, it's artificial intelligence 316 00:17:05,560 --> 00:17:07,520 Speaker 11: of what doing it, But really it's not even that 317 00:17:07,680 --> 00:17:10,520 Speaker 11: we've barely scratched the surface on using AI. It's just 318 00:17:10,560 --> 00:17:12,560 Speaker 11: a bunch of little things where on their own wouldn't 319 00:17:12,560 --> 00:17:14,000 Speaker 11: move the needle, but you add them all up and 320 00:17:14,000 --> 00:17:17,320 Speaker 11: it's making a big difference. It's little things like you know, 321 00:17:17,440 --> 00:17:21,280 Speaker 11: incentives to the workers to drill faster, you know, catered 322 00:17:21,320 --> 00:17:25,040 Speaker 11: barbecue lunches out of the rigsite, remodeling their living quarters. 323 00:17:25,119 --> 00:17:28,440 Speaker 11: It's drilling in a unique pattern in a U shape 324 00:17:28,600 --> 00:17:32,360 Speaker 11: where you couldn't figure out a way to get all 325 00:17:32,359 --> 00:17:33,679 Speaker 11: the rest of the oil out of the ground and 326 00:17:33,720 --> 00:17:35,840 Speaker 11: you have a small footprint. So instead what you do 327 00:17:35,920 --> 00:17:39,280 Speaker 11: is you drill down sideways and then you turn and 328 00:17:39,320 --> 00:17:41,680 Speaker 11: go one hundred degrees the other direction to capture the 329 00:17:41,760 --> 00:17:43,640 Speaker 11: rest of that oil. That was a concept that could 330 00:17:43,640 --> 00:17:46,760 Speaker 11: never even be thought about earlier in the years as 331 00:17:46,800 --> 00:17:49,000 Speaker 11: we just sort of kept playing around with ways to 332 00:17:49,119 --> 00:17:51,239 Speaker 11: drill underground. We figured out a way to do that 333 00:17:51,320 --> 00:17:53,840 Speaker 11: and to do it correctly. You know, it's also to 334 00:17:53,920 --> 00:17:57,359 Speaker 11: figure out how to frack two wells at one time, 335 00:17:57,600 --> 00:18:00,520 Speaker 11: and that not only reduces the friction in one well, 336 00:18:00,760 --> 00:18:03,160 Speaker 11: it saves on the manpower because you use one crew 337 00:18:03,480 --> 00:18:06,200 Speaker 11: to now complete two wills at the same time. So 338 00:18:06,240 --> 00:18:09,200 Speaker 11: it's all these little just sort of small efficiency gains 339 00:18:09,240 --> 00:18:12,800 Speaker 11: where it's allowed us to get a lot faster at 340 00:18:12,840 --> 00:18:16,760 Speaker 11: producing at less manpower. And what it really boils down 341 00:18:16,800 --> 00:18:19,200 Speaker 11: to is you've got about a third of the rigs 342 00:18:19,200 --> 00:18:21,360 Speaker 11: is which you've had ten years ago, and yet you've 343 00:18:21,359 --> 00:18:24,840 Speaker 11: got record production. So a dramatic decrease in the amount 344 00:18:24,880 --> 00:18:27,439 Speaker 11: of equipment and then the people to run them while 345 00:18:27,680 --> 00:18:30,320 Speaker 11: maintaining enormous amounts of output. And that's a lot of 346 00:18:30,359 --> 00:18:32,840 Speaker 11: the energy is free to surpass all of their sectors 347 00:18:32,840 --> 00:18:33,520 Speaker 11: in the economy. 348 00:18:34,000 --> 00:18:36,199 Speaker 7: So when we're thinking about productivity, of course, one thing 349 00:18:36,200 --> 00:18:38,040 Speaker 7: that you need to be thinking about is, you know, 350 00:18:38,080 --> 00:18:41,520 Speaker 7: governmental legislation that will support this. And I see here 351 00:18:41,520 --> 00:18:43,840 Speaker 7: in the piece you all speak a bit about you know, 352 00:18:43,880 --> 00:18:48,120 Speaker 7: this upcoming election. You say that Kamala Harris has repeatedly 353 00:18:48,160 --> 00:18:50,520 Speaker 7: said that she won't be fracking, which is a walk 354 00:18:50,560 --> 00:18:52,880 Speaker 7: back of comments that she made in twenty nineteen. How 355 00:18:52,960 --> 00:18:56,720 Speaker 7: much does the government and different policies play a role 356 00:18:56,800 --> 00:18:59,000 Speaker 7: in the ability for these companies to excel. 357 00:19:00,000 --> 00:19:02,400 Speaker 11: It's a good question because sometimes it can be misunderstood. 358 00:19:02,760 --> 00:19:05,160 Speaker 11: Chevron actually talked about it a little bit earlier, and 359 00:19:05,200 --> 00:19:07,520 Speaker 11: they're doing earnings this morning, and on some of the 360 00:19:07,520 --> 00:19:11,880 Speaker 11: different interviews, Mike Worth talked about how ultimately the US 361 00:19:11,920 --> 00:19:17,880 Speaker 11: shale is there and it's not really being restricted by 362 00:19:17,880 --> 00:19:20,040 Speaker 11: the US government. You know, people talk about whether you 363 00:19:20,080 --> 00:19:22,560 Speaker 11: can go on federal lands or not. Really where they're 364 00:19:22,560 --> 00:19:25,160 Speaker 11: doing a lot of the drilling is on private, independent 365 00:19:25,200 --> 00:19:28,119 Speaker 11: land that the US government does not own, So really 366 00:19:28,160 --> 00:19:31,080 Speaker 11: that's not very restrictive to these drillers. Where it kind 367 00:19:31,080 --> 00:19:34,119 Speaker 11: of comes down to more is permitting for things like pipelines. 368 00:19:34,200 --> 00:19:36,920 Speaker 11: So you drill, you produce, but you got to send 369 00:19:36,960 --> 00:19:38,240 Speaker 11: it off to market, you got to send it down 370 00:19:38,240 --> 00:19:42,520 Speaker 11: to the refineries, and so getting timely approvals for the 371 00:19:42,560 --> 00:19:45,399 Speaker 11: permits to build new pipelines to send more oil and 372 00:19:45,520 --> 00:19:48,679 Speaker 11: natural gas away from the oil fields is key. So 373 00:19:48,720 --> 00:19:53,399 Speaker 11: that's kind of one sticking point for policy on any 374 00:19:53,520 --> 00:19:56,119 Speaker 11: type of administration. Is where the oil industry is going 375 00:19:56,160 --> 00:19:56,600 Speaker 11: to care. 376 00:19:56,840 --> 00:19:59,280 Speaker 3: David, you're down there in Houston. That's you know, obviously 377 00:19:59,359 --> 00:20:02,800 Speaker 3: that the center the US energy business. What's the feeling 378 00:20:03,400 --> 00:20:06,760 Speaker 3: just a broadly define about the business of energy, because 379 00:20:07,200 --> 00:20:09,560 Speaker 3: you know, as recently as ten years ago, fifteen years ago, 380 00:20:09,560 --> 00:20:11,399 Speaker 3: they were talking about peak oil and all that kind 381 00:20:11,400 --> 00:20:13,880 Speaker 3: of stuff. I don't hear about that as much anymore. 382 00:20:14,800 --> 00:20:17,480 Speaker 11: Yeah, you don't really hear about it. I think partly 383 00:20:17,480 --> 00:20:19,760 Speaker 11: because there was this kind of you know, ESU movement 384 00:20:19,880 --> 00:20:23,720 Speaker 11: and you know, green energy technologies and let's try to 385 00:20:23,720 --> 00:20:26,080 Speaker 11: do both at the same time. And maybe kind of 386 00:20:26,400 --> 00:20:29,760 Speaker 11: you saw investors pivot away from investing in oil and gas, 387 00:20:29,840 --> 00:20:33,720 Speaker 11: and what it kind of led to was a decrease 388 00:20:33,760 --> 00:20:38,080 Speaker 11: in spending in oil and gas, and so you've had 389 00:20:38,320 --> 00:20:41,879 Speaker 11: less push to really grow supplies. So it's kind of 390 00:20:41,880 --> 00:20:44,680 Speaker 11: tightened the picture a little bit, and so there's sort 391 00:20:44,720 --> 00:20:48,359 Speaker 11: of less concern of maybe this thing is going away 392 00:20:48,440 --> 00:20:50,719 Speaker 11: and more about let's make sure we have enough supply 393 00:20:50,840 --> 00:20:53,720 Speaker 11: out there so the prices don't go crazy above one 394 00:20:53,760 --> 00:20:56,000 Speaker 11: hundred dollars a barrel and really sort of raise red 395 00:20:56,040 --> 00:20:57,919 Speaker 11: flags on the industry. So I think they're trying to 396 00:20:57,960 --> 00:21:00,439 Speaker 11: kind of fly below the radar and not too much 397 00:21:00,480 --> 00:21:04,280 Speaker 11: attention on energy prices that are too high, while still 398 00:21:04,320 --> 00:21:07,479 Speaker 11: trying to maximize profit and have high enough oil prices 399 00:21:07,520 --> 00:21:10,720 Speaker 11: that eclipse their sort of break even price and give 400 00:21:10,720 --> 00:21:12,399 Speaker 11: them a decent amount of profit. So I mean that 401 00:21:12,440 --> 00:21:16,000 Speaker 11: the mood around here is, you know, I think if 402 00:21:16,000 --> 00:21:18,639 Speaker 11: you're in the oil industry, you sort of feel like 403 00:21:19,440 --> 00:21:22,760 Speaker 11: you're not appreciated enough that the politicians don't you know, 404 00:21:22,840 --> 00:21:26,920 Speaker 11: appreciate you. But otherwise outside of the industry, it sort 405 00:21:26,960 --> 00:21:29,320 Speaker 11: of is a view of you know, it looks like 406 00:21:29,359 --> 00:21:33,399 Speaker 11: it's pretty healthy and still productive and profitable and growing. 407 00:21:34,880 --> 00:21:36,639 Speaker 7: I mean, as we think about just digging a bit 408 00:21:36,640 --> 00:21:39,840 Speaker 7: deeper into the ESG movement and where we are today, 409 00:21:40,359 --> 00:21:43,520 Speaker 7: as we think about ESG and just investor sentiments surrounding 410 00:21:43,560 --> 00:21:46,639 Speaker 7: this sector, have you seen it all pullback in backlash 411 00:21:46,640 --> 00:21:47,199 Speaker 7: in the space. 412 00:21:48,960 --> 00:21:53,360 Speaker 11: Yes, I think the backlash is diminished. I mean, there's 413 00:21:53,400 --> 00:21:56,280 Speaker 11: still going to be the environmental groups out there that 414 00:21:56,400 --> 00:22:01,120 Speaker 11: are raising concerns and you know, and we're hearing from them. 415 00:22:01,840 --> 00:22:06,280 Speaker 11: But I think that the broader you know, just push 416 00:22:06,320 --> 00:22:09,080 Speaker 11: to really kind of drive down this industry. I think 417 00:22:09,119 --> 00:22:10,919 Speaker 11: you're just seeing a lot less. It's sort of just 418 00:22:11,119 --> 00:22:13,760 Speaker 11: abated a little bit. And because I think the view 419 00:22:13,800 --> 00:22:16,879 Speaker 11: is we still need supplies for a while of oil 420 00:22:16,880 --> 00:22:20,199 Speaker 11: and natural gas, and you know, we can't have electricity 421 00:22:20,200 --> 00:22:23,520 Speaker 11: shortages even here in Texas of all places. So yeah, 422 00:22:23,600 --> 00:22:25,000 Speaker 11: it seems like it's kind of dialed back. 423 00:22:25,160 --> 00:22:27,119 Speaker 3: You've got your own grid. That's how you guys do 424 00:22:27,160 --> 00:22:27,960 Speaker 3: things down in Texas. 425 00:22:27,960 --> 00:22:28,520 Speaker 2: We understand that. 426 00:22:28,560 --> 00:22:31,399 Speaker 3: David Weady, he's an energy reporter for Bloomberg News and 427 00:22:31,440 --> 00:22:35,280 Speaker 3: he is based fittingly in Houston, Texas. Again, the story, 428 00:22:35,320 --> 00:22:38,880 Speaker 3: the Big Takes story, is about the productivity in the 429 00:22:39,200 --> 00:22:42,000 Speaker 3: oil business, the energy business, and thank John Tucker for 430 00:22:42,040 --> 00:22:44,240 Speaker 3: flagging that for us. That's our Big Take story today 431 00:22:44,400 --> 00:22:45,840 Speaker 3: on the Bloomberg triml where you can find at the 432 00:22:45,840 --> 00:22:49,840 Speaker 3: Bloomberg Turminal and on Bloomberg dot com slash Big Take. 433 00:22:50,200 --> 00:22:50,920 Speaker 2: Check it out there. 434 00:22:52,480 --> 00:22:56,359 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 435 00:22:56,440 --> 00:23:00,480 Speaker 1: weekdays at ten am Eastern on applecar Play and with 436 00:23:00,520 --> 00:23:03,359 Speaker 1: the Bloomberg Business app. You can also listen live on 437 00:23:03,440 --> 00:23:07,240 Speaker 1: Amazon Alexa from our flagship New York station, just Say Alexa, 438 00:23:07,440 --> 00:23:10,840 Speaker 1: playing Bloomberg eleven thirty, getting. 439 00:23:10,520 --> 00:23:12,920 Speaker 3: Back to the marketsas John Tucker was just reporting strong 440 00:23:13,000 --> 00:23:15,120 Speaker 3: day in the equity markets. Here, let's break it down 441 00:23:15,119 --> 00:23:17,200 Speaker 3: a little bit with Sarah Ponzik. She's the first vice 442 00:23:17,200 --> 00:23:20,160 Speaker 3: president of wealth management at UBS Private Wealth Management. 443 00:23:20,800 --> 00:23:21,879 Speaker 2: Coming to us Life from. 444 00:23:21,920 --> 00:23:25,359 Speaker 3: Del Boca Vista in the Boca Raton, Florida area. Sarah, 445 00:23:25,359 --> 00:23:27,920 Speaker 3: thanks so much for joining us. A lot of earnings 446 00:23:27,920 --> 00:23:29,840 Speaker 3: this week, a lot of economic data this week. What 447 00:23:29,880 --> 00:23:32,760 Speaker 3: are you telling your clients these days as they finish 448 00:23:32,800 --> 00:23:34,120 Speaker 3: up the year and think about next year. 449 00:23:35,080 --> 00:23:37,600 Speaker 4: Yeah, it's been a bit of a marathon between this 450 00:23:37,640 --> 00:23:40,520 Speaker 4: week and next week. Think about the amount of earnings 451 00:23:40,560 --> 00:23:42,720 Speaker 4: that we've received, not just from any companies, but the 452 00:23:42,840 --> 00:23:45,400 Speaker 4: largest companies in the stock market and in our economy. 453 00:23:45,800 --> 00:23:48,760 Speaker 4: Also some economic data. Of course, Jobs Day was today. 454 00:23:48,880 --> 00:23:51,879 Speaker 4: I know, I'm sure you've discussed it at length already. 455 00:23:52,119 --> 00:23:54,720 Speaker 4: Then we've got an election next week and the Federal Reserve, 456 00:23:54,840 --> 00:23:57,760 Speaker 4: so you know, we're going to just jam it in 457 00:23:57,760 --> 00:23:58,520 Speaker 4: to two weeks. 458 00:23:58,560 --> 00:24:01,159 Speaker 10: But at the end of the day, we're talking to clients, 459 00:24:02,040 --> 00:24:05,399 Speaker 10: you know, the picture really hasn't changed. 460 00:24:05,840 --> 00:24:09,040 Speaker 4: Yes, there's a lot of data, and to be sure, 461 00:24:09,080 --> 00:24:10,960 Speaker 4: the data's even messy as you know, you know, the 462 00:24:11,080 --> 00:24:15,360 Speaker 4: job zdata that we receive today is burdened by storms 463 00:24:15,400 --> 00:24:17,919 Speaker 4: and strikes, and the data itself is messy. 464 00:24:17,960 --> 00:24:21,520 Speaker 10: So when we look at the overall outlook going out from. 465 00:24:21,280 --> 00:24:23,800 Speaker 4: Here, nothing that we've seen over the past week, and 466 00:24:23,840 --> 00:24:27,479 Speaker 4: really nothing that we expect even next week changes the outlook, 467 00:24:27,480 --> 00:24:29,400 Speaker 4: which is still optimistic and positive from here. 468 00:24:30,040 --> 00:24:32,840 Speaker 7: So earning season, we just got some mixed reports from 469 00:24:32,880 --> 00:24:34,920 Speaker 7: these big tech names. I see that you're also keeping 470 00:24:34,960 --> 00:24:37,840 Speaker 7: an eye on the tech selloff. Talk to me about 471 00:24:37,840 --> 00:24:40,160 Speaker 7: what's going on there, especially given the fact that people 472 00:24:40,160 --> 00:24:43,280 Speaker 7: are really depending on this sector for the markets gains. 473 00:24:44,320 --> 00:24:47,480 Speaker 4: Right, we call it a tech selloff, But nowadays tech 474 00:24:47,560 --> 00:24:50,480 Speaker 4: sell offs are really just blips. You know, A couple 475 00:24:50,560 --> 00:24:54,000 Speaker 4: of percentage points is hardly anything when you look at 476 00:24:54,000 --> 00:24:56,480 Speaker 4: the run that we've seen in tech stocks this year 477 00:24:57,000 --> 00:25:00,600 Speaker 4: and last year, coming off the volatility of twent two 478 00:25:00,920 --> 00:25:03,000 Speaker 4: and look, you're absolutely right. At the end of the day, 479 00:25:03,040 --> 00:25:08,000 Speaker 4: these companies are so so important, largely because they make 480 00:25:08,080 --> 00:25:11,159 Speaker 4: up such a heavy weight of the indexes. So if 481 00:25:11,200 --> 00:25:15,119 Speaker 4: you're an investor and you're either comparing yourself to an 482 00:25:15,160 --> 00:25:16,879 Speaker 4: index like the S and P five hundred or the 483 00:25:16,960 --> 00:25:20,159 Speaker 4: NASAC or you're invested in an index like the SMP 484 00:25:20,280 --> 00:25:23,800 Speaker 4: five hundred, Well, these large tech companies are the ones 485 00:25:23,840 --> 00:25:26,000 Speaker 4: that are really leading the way. And at the end 486 00:25:26,000 --> 00:25:29,600 Speaker 4: of the day, yes, we saw some volatility post earnings. Yes, 487 00:25:29,960 --> 00:25:34,159 Speaker 4: these companies are spending so much money on capex or 488 00:25:34,200 --> 00:25:37,480 Speaker 4: capital expenditures when it comes to AI, but at the 489 00:25:37,560 --> 00:25:39,640 Speaker 4: end of the day, we do believe that this spending 490 00:25:39,840 --> 00:25:43,800 Speaker 4: is going to pay off. These large megacap companies are 491 00:25:43,840 --> 00:25:48,240 Speaker 4: at the forefront of this AI boom that we're going 492 00:25:48,280 --> 00:25:50,160 Speaker 4: to see in the years to come. 493 00:25:50,760 --> 00:25:53,919 Speaker 10: And it's really amazing when you look at the big 494 00:25:54,119 --> 00:25:55,919 Speaker 10: four tech companies, and I'll just lay them out. 495 00:25:55,960 --> 00:26:00,000 Speaker 4: You know, Microsoft Alphabet parent or Google parent, Alphabet AMZ 496 00:26:00,160 --> 00:26:05,440 Speaker 4: on Meta. Those four companies alone account for almost half 497 00:26:05,680 --> 00:26:07,520 Speaker 4: of spending on artificial intelligence. 498 00:26:07,720 --> 00:26:09,560 Speaker 10: We've seen it laid out in their earnings. 499 00:26:09,720 --> 00:26:11,320 Speaker 4: But at the end of the day, they're spending on 500 00:26:11,400 --> 00:26:13,200 Speaker 4: what they believe is the future and what we too 501 00:26:13,280 --> 00:26:15,840 Speaker 4: believe is going to be a trend that's not only 502 00:26:15,880 --> 00:26:18,119 Speaker 4: a trend, but is going to turn into revenue and 503 00:26:18,160 --> 00:26:19,400 Speaker 4: earnings in the future as well. 504 00:26:19,760 --> 00:26:21,359 Speaker 3: Sir, what kind of phone calls are getting from your 505 00:26:21,359 --> 00:26:25,600 Speaker 3: clients about this election. Are investors trying to position around it? 506 00:26:25,680 --> 00:26:28,080 Speaker 3: Are they trying to just trade through it? Ignore it? 507 00:26:27,960 --> 00:26:28,000 Speaker 9: It? 508 00:26:28,119 --> 00:26:29,920 Speaker 2: Kind of what kind of discussions are you having? 509 00:26:30,920 --> 00:26:33,040 Speaker 4: So people got a bit emotional, and you know, for 510 00:26:33,119 --> 00:26:37,080 Speaker 4: good reason before and around an election. Not just recently, 511 00:26:37,119 --> 00:26:39,240 Speaker 4: but I would tell you that over the past couple 512 00:26:39,280 --> 00:26:41,760 Speaker 4: of months, I think it's a little telling. I've gotten 513 00:26:41,880 --> 00:26:44,439 Speaker 4: calls from clients on both sides of the spectrum, so 514 00:26:44,600 --> 00:26:48,600 Speaker 4: Democrats and Republicans saying, Okay, if X person wins the 515 00:26:48,640 --> 00:26:51,200 Speaker 4: election and I want to leave the country, what does 516 00:26:51,240 --> 00:26:52,679 Speaker 4: that mean for my portfolio? 517 00:26:52,760 --> 00:26:54,080 Speaker 10: And can we still work together? 518 00:26:54,440 --> 00:26:58,520 Speaker 4: So emotions, emotions run high, you know, surrounding political elections. 519 00:26:58,800 --> 00:27:01,600 Speaker 4: But at the end of the day, you know, politics 520 00:27:01,680 --> 00:27:05,280 Speaker 4: really don't have as big an effect on markets as 521 00:27:05,280 --> 00:27:07,480 Speaker 4: some people tend to believe they do. If you look 522 00:27:07,520 --> 00:27:11,560 Speaker 4: at any which scenario over history, a blue sweep, a 523 00:27:11,600 --> 00:27:16,439 Speaker 4: red sweep, ridlock you know, ex party in office with 524 00:27:16,680 --> 00:27:20,000 Speaker 4: the other, you know, controlling Congress and the Senate, there's 525 00:27:20,040 --> 00:27:24,560 Speaker 4: really no statistically significant outcome. When you try to compare 526 00:27:25,400 --> 00:27:29,119 Speaker 4: different you know, representations of DC and the government to 527 00:27:29,200 --> 00:27:30,760 Speaker 4: stock market returns. 528 00:27:30,600 --> 00:27:32,800 Speaker 10: It really doesn't matter all that much. 529 00:27:32,840 --> 00:27:36,359 Speaker 4: Really, what matters is the federal reserve and interest rates 530 00:27:36,640 --> 00:27:40,560 Speaker 4: and the economy, which frankly, the president doesn't have as 531 00:27:40,640 --> 00:27:42,800 Speaker 4: much control as many people like to believe it to. 532 00:27:43,240 --> 00:27:45,160 Speaker 4: We actually had an event this this. 533 00:27:45,160 --> 00:27:50,360 Speaker 12: Week where you know, the question was posed to the attendees, 534 00:27:50,920 --> 00:27:54,439 Speaker 12: who do you think had you know, the worst market 535 00:27:54,480 --> 00:27:56,679 Speaker 12: returns during their presidency and who had the best. 536 00:27:57,200 --> 00:27:58,480 Speaker 4: I don't know if you want to take a crack 537 00:27:58,520 --> 00:28:01,560 Speaker 4: at it, but most people didn't know the answer. 538 00:28:01,720 --> 00:28:06,160 Speaker 7: Yeah, I mean I think just goes God. As you're 539 00:28:06,160 --> 00:28:09,040 Speaker 7: thinking about this election and pushing forward. I mean, you're 540 00:28:09,040 --> 00:28:12,119 Speaker 7: in private wealth management. This is a very important space. 541 00:28:12,320 --> 00:28:14,640 Speaker 7: What is your island right now? If you all are 542 00:28:14,720 --> 00:28:17,159 Speaker 7: kind of not focusing as much on the election to 543 00:28:17,240 --> 00:28:19,040 Speaker 7: determine returns. 544 00:28:18,760 --> 00:28:23,080 Speaker 4: So so love when it comes to planning surrounding policy. Yes, 545 00:28:23,359 --> 00:28:26,640 Speaker 4: in the private wealth space, when you're working with high 546 00:28:26,640 --> 00:28:31,280 Speaker 4: net worth individuals, family offices, there are potential policy changes 547 00:28:31,760 --> 00:28:33,800 Speaker 4: that could pose. 548 00:28:33,520 --> 00:28:35,520 Speaker 10: You know, significant change for clients. 549 00:28:35,600 --> 00:28:38,920 Speaker 4: So when it comes to the estate tax, for example, 550 00:28:39,120 --> 00:28:40,680 Speaker 4: right now, the way the law is right and is 551 00:28:40,680 --> 00:28:43,640 Speaker 4: at the end of next year, the current law is 552 00:28:43,680 --> 00:28:47,560 Speaker 4: going to sunset, and the estate tax the exemption amount 553 00:28:47,600 --> 00:28:48,760 Speaker 4: is going to be half. 554 00:28:48,800 --> 00:28:49,680 Speaker 10: Going to be cut in half. 555 00:28:49,960 --> 00:28:51,920 Speaker 4: So yes, we're seeing We're doing a lot of planning 556 00:28:51,920 --> 00:28:53,440 Speaker 4: surrounding that, working with our. 557 00:28:53,320 --> 00:28:55,880 Speaker 10: Clients and state attorneys to make sure that they're prepared. 558 00:28:56,360 --> 00:28:57,800 Speaker 4: But at the end of the day, what we're really 559 00:28:57,840 --> 00:29:03,200 Speaker 4: focused on is technolology, which we discussed, you know, doing 560 00:29:03,240 --> 00:29:05,960 Speaker 4: tax planning a head ahead of your end and then 561 00:29:06,040 --> 00:29:09,120 Speaker 4: just when it comes to markets, looking at the economic. 562 00:29:08,720 --> 00:29:10,720 Speaker 10: Data, looking at the trend for interest rates. 563 00:29:10,760 --> 00:29:13,200 Speaker 4: Look, we're going to get a Federal Reserve meeting next week, 564 00:29:13,240 --> 00:29:16,120 Speaker 4: but our economists expect that we'll see another fifty basis 565 00:29:16,160 --> 00:29:18,160 Speaker 4: points of cuts by the end of the year, another 566 00:29:18,200 --> 00:29:21,000 Speaker 4: one hundred based points of cuts next year. So if 567 00:29:21,000 --> 00:29:23,560 Speaker 4: we know cash rates are coming down, interest rates are 568 00:29:23,560 --> 00:29:27,000 Speaker 4: coming down, making sure that you know our clients aren't 569 00:29:27,040 --> 00:29:31,880 Speaker 4: sitting in cash or just short dated treasury bonds for example, 570 00:29:31,920 --> 00:29:33,840 Speaker 4: because at the end of the day, reinvestment risk is 571 00:29:33,880 --> 00:29:34,680 Speaker 4: an issue right now. 572 00:29:34,920 --> 00:29:37,040 Speaker 2: Sarah, thank you so much for joining us. Always appreciate 573 00:29:37,320 --> 00:29:37,880 Speaker 2: chatting with you. 574 00:29:37,920 --> 00:29:40,760 Speaker 3: Sarah Ponsek, she's the first vice president of wealth management 575 00:29:40,840 --> 00:29:46,560 Speaker 3: at UBS Private Wealth Management. She's located in Bolca Raton, Florida. 576 00:29:47,000 --> 00:29:50,880 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 577 00:29:50,960 --> 00:29:54,480 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 578 00:29:54,520 --> 00:29:57,680 Speaker 1: Auto with the Bloomberg Business. You can also listen live 579 00:29:57,800 --> 00:30:01,240 Speaker 1: on Amazon Alexa from our flagship York station just Say 580 00:30:01,320 --> 00:30:03,240 Speaker 1: Alexa playing Bloomberg eleven. 581 00:30:05,240 --> 00:30:07,800 Speaker 3: It's good to Washington because we've got an election next 582 00:30:07,840 --> 00:30:10,480 Speaker 3: week and there aren't many people in Washington I want 583 00:30:10,480 --> 00:30:10,840 Speaker 3: to talk to. 584 00:30:11,200 --> 00:30:13,760 Speaker 2: One of them is Nathan Dean. He knows what's going on. 585 00:30:13,840 --> 00:30:16,280 Speaker 3: Then we always get the straight poop from Nathan. Nathan's 586 00:30:16,400 --> 00:30:19,720 Speaker 3: Bloomberg Intelligence senior policy analyst. So Nathan, you're down there, 587 00:30:19,840 --> 00:30:23,120 Speaker 3: You're hip deep and all that Washington stuff and all 588 00:30:23,160 --> 00:30:25,280 Speaker 3: the you know, the Innundia and all the talk and 589 00:30:25,320 --> 00:30:27,200 Speaker 3: all the back talk, back office talk and all the 590 00:30:27,240 --> 00:30:29,680 Speaker 3: type of thing. What's the feeling in DC about how 591 00:30:29,720 --> 00:30:31,200 Speaker 3: this thing may break on Tuesday? 592 00:30:32,280 --> 00:30:34,280 Speaker 13: Yeah, So, you know, I don't think anybody really has 593 00:30:34,320 --> 00:30:36,320 Speaker 13: any good prediction of how things are going to break 594 00:30:36,440 --> 00:30:38,400 Speaker 13: outside of the Senate race. And the reason why we're 595 00:30:38,440 --> 00:30:40,960 Speaker 13: saying the Senate races is because you know, this is 596 00:30:41,000 --> 00:30:43,479 Speaker 13: a very difficult race for the Democrats that are defending 597 00:30:43,520 --> 00:30:45,440 Speaker 13: twenty three of the thirty four seats that are open 598 00:30:45,480 --> 00:30:46,720 Speaker 13: at the moment, and a lot of those are in 599 00:30:46,760 --> 00:30:49,080 Speaker 13: purple states or in Trump's states. So if you're a 600 00:30:49,080 --> 00:30:52,080 Speaker 13: Senator Shery Brown, who's the Senate Banking chairman, or Senator 601 00:30:52,160 --> 00:30:55,760 Speaker 13: John Tester in Ohio and then Montana, those are races 602 00:30:55,760 --> 00:30:57,480 Speaker 13: that the Democrats have to win if they want to 603 00:30:57,520 --> 00:31:00,360 Speaker 13: keep the Senate. Now why do we care about the Senate? Well, 604 00:31:00,440 --> 00:31:03,440 Speaker 13: the Senate obviously gets you confirmation of judges, but also 605 00:31:03,520 --> 00:31:06,320 Speaker 13: regulatory leaders So if the Republicans take the Senate and 606 00:31:06,360 --> 00:31:09,600 Speaker 13: Kamala Harris wins, they can effectively block and jam a 607 00:31:09,600 --> 00:31:11,680 Speaker 13: lot of the new regulatory leadership that she wants to 608 00:31:11,680 --> 00:31:14,040 Speaker 13: put in place. So this could mean that Lena Khan 609 00:31:14,120 --> 00:31:16,680 Speaker 13: at the Federal Training Commissioner, Gary Ginzler at the SEC 610 00:31:17,000 --> 00:31:19,760 Speaker 13: sticks around for a little bit longer. If President Trump wins, 611 00:31:19,800 --> 00:31:22,960 Speaker 13: then a deregulatory effort can move much quicker. So outside 612 00:31:22,960 --> 00:31:25,520 Speaker 13: of the Senate race, everything else is too close to tell. 613 00:31:26,080 --> 00:31:27,600 Speaker 7: What's the latest on swing states? 614 00:31:29,040 --> 00:31:31,200 Speaker 13: So obviously I think you know what we're telling everybody 615 00:31:31,280 --> 00:31:32,880 Speaker 13: is that it comes down to Pennsylvania. I mean, if 616 00:31:32,920 --> 00:31:35,880 Speaker 13: Kamala Harris doesn't win Pennsylvania, the odds of her winning 617 00:31:35,880 --> 00:31:38,400 Speaker 13: the presidency is very slim. So you know, we've been 618 00:31:38,400 --> 00:31:41,280 Speaker 13: working with some European clients, for example, and as they 619 00:31:41,280 --> 00:31:43,400 Speaker 13: come into the office, say eight or nine am, you know, 620 00:31:43,560 --> 00:31:46,560 Speaker 13: central European time, look for the results in Philadelphia and 621 00:31:46,600 --> 00:31:48,719 Speaker 13: Pittsburgh to really try and give you an indication of 622 00:31:49,080 --> 00:31:51,080 Speaker 13: who's going to be winning this election. But I will 623 00:31:51,120 --> 00:31:54,040 Speaker 13: say is that, you know, the general thought here is 624 00:31:54,040 --> 00:31:56,000 Speaker 13: is that you know, there's this idea that the election 625 00:31:56,160 --> 00:31:58,840 Speaker 13: could go you know, for weeks. We just don't know. 626 00:31:59,000 --> 00:32:01,080 Speaker 13: But I also think there's a lot of folks out 627 00:32:01,080 --> 00:32:03,440 Speaker 13: there that are thinking that this at least we could 628 00:32:03,480 --> 00:32:06,360 Speaker 13: get an indication of who the president is, maybe not 629 00:32:06,440 --> 00:32:09,160 Speaker 13: officially and maybe not called by the agencies and so 630 00:32:09,240 --> 00:32:11,360 Speaker 13: forth the news organizations, but we could at least get 631 00:32:11,360 --> 00:32:13,520 Speaker 13: an indication of who the president is going to be 632 00:32:13,600 --> 00:32:16,840 Speaker 13: on Wednesday and Thursday. So you know, from a market perspective, 633 00:32:16,880 --> 00:32:18,840 Speaker 13: we're going to be looking to see for when those 634 00:32:18,880 --> 00:32:21,360 Speaker 13: state results start coming in. And obviously it's the one 635 00:32:21,400 --> 00:32:25,160 Speaker 13: hundred thousand folks in Pennsylvania, North Carolina, Arizona and Nevada 636 00:32:25,240 --> 00:32:27,080 Speaker 13: and Michigan and so forth that are ultimately going to 637 00:32:27,080 --> 00:32:27,600 Speaker 13: decide who. 638 00:32:27,520 --> 00:32:28,080 Speaker 2: The president is. 639 00:32:28,400 --> 00:32:31,840 Speaker 7: Speaking of election calls, what is the expectation for how 640 00:32:31,880 --> 00:32:34,960 Speaker 7: long it could potentially take this election to be called? 641 00:32:35,840 --> 00:32:37,960 Speaker 13: Well, look it really, you know, this is the challenge 642 00:32:37,960 --> 00:32:40,240 Speaker 13: of the American voter system is that each state has 643 00:32:40,280 --> 00:32:42,960 Speaker 13: their own processes and procedures. I mean, certain states can't 644 00:32:42,960 --> 00:32:46,320 Speaker 13: start counting your early ballots until the polls close, for example, 645 00:32:46,400 --> 00:32:48,600 Speaker 13: and so we just don't know how long it's going 646 00:32:48,640 --> 00:32:51,680 Speaker 13: to take. However, what we can say is is that, 647 00:32:51,880 --> 00:32:55,360 Speaker 13: you know, we should get an indication of how things 648 00:32:55,400 --> 00:32:57,400 Speaker 13: are going. And when you look at the swing states 649 00:32:57,440 --> 00:33:00,920 Speaker 13: in particular, you know you have a good mix of 650 00:33:00,960 --> 00:33:02,520 Speaker 13: those that are on the East coast and those are 651 00:33:02,520 --> 00:33:05,600 Speaker 13: on the west coast Pennsylvania, North Carolina, Arizona and Nevada 652 00:33:05,640 --> 00:33:07,440 Speaker 13: and so forth like that. Put just going back to 653 00:33:07,440 --> 00:33:09,960 Speaker 13: what I said earlier, for Vice President Kamala Harris, it 654 00:33:09,960 --> 00:33:13,480 Speaker 13: comes down to Pennsylvania. If she can't win Pennsylvania, then 655 00:33:13,640 --> 00:33:15,960 Speaker 13: chances are of Michigan and Wisconsin are in play and 656 00:33:16,000 --> 00:33:19,240 Speaker 13: she loses the presidency. So again we would just we're 657 00:33:19,280 --> 00:33:21,920 Speaker 13: really paying attention to Philadelphia and Pittsburgh these days. 658 00:33:22,160 --> 00:33:25,560 Speaker 3: Nathan, I say this affectionately a policy geek, a wonk 659 00:33:25,920 --> 00:33:28,480 Speaker 3: You've got some great research out there that says, hey, 660 00:33:28,880 --> 00:33:30,880 Speaker 3: here's what happens to a couple of key industries from 661 00:33:30,920 --> 00:33:34,760 Speaker 3: a regulatory perspective, if Harris wins or Trump wins, what 662 00:33:34,800 --> 00:33:36,760 Speaker 3: are the two one, or two or three things that 663 00:33:36,800 --> 00:33:39,040 Speaker 3: you're really looking at or could be in play depending 664 00:33:39,080 --> 00:33:40,400 Speaker 3: upon who gets in office. 665 00:33:40,920 --> 00:33:41,760 Speaker 2: Yeah, So if you're. 666 00:33:41,680 --> 00:33:44,480 Speaker 13: Trying to think of like catalyst industries, meaning that the 667 00:33:44,480 --> 00:33:47,800 Speaker 13: election means one substantial catalyst or the other, the investment 668 00:33:47,840 --> 00:33:49,800 Speaker 13: banks are the perfect thing to come into mind because 669 00:33:49,840 --> 00:33:51,920 Speaker 13: there's this rule out there called the Bosle three end game. Now, 670 00:33:51,960 --> 00:33:54,240 Speaker 13: if Kamala Harris wins, banks are going to look around 671 00:33:54,280 --> 00:33:57,440 Speaker 13: a nine percent capital increase starting in probably twenty twenty six. 672 00:33:57,680 --> 00:34:00,800 Speaker 13: If President Trump wins, that rule, I think effect goes away. 673 00:34:01,040 --> 00:34:04,160 Speaker 13: Renewables is certain. Is another thing because Eric, you know, 674 00:34:04,160 --> 00:34:06,440 Speaker 13: in the prior segment mentioned that taxes could go up 675 00:34:06,480 --> 00:34:09,640 Speaker 13: next year. The Trump Air tax cuts expire for individuals 676 00:34:09,640 --> 00:34:11,880 Speaker 13: at the end of twenty twenty five, and Congress and 677 00:34:11,920 --> 00:34:13,239 Speaker 13: the President is going to have to figure out how 678 00:34:13,239 --> 00:34:15,959 Speaker 13: to pay over four trillion dollars to keep those tax 679 00:34:16,000 --> 00:34:19,200 Speaker 13: cuts going. And so is the Inflation Reduction Act at play. 680 00:34:19,440 --> 00:34:21,880 Speaker 13: That's very important to the renewable industry, so something to 681 00:34:21,960 --> 00:34:24,719 Speaker 13: keep in mind. And finally, big tech. You know, there's 682 00:34:24,760 --> 00:34:28,400 Speaker 13: this stereotypical idea out there that Republicans equal good for 683 00:34:28,440 --> 00:34:31,279 Speaker 13: big business, and so if President Trump wins, you know, 684 00:34:31,680 --> 00:34:34,040 Speaker 13: big tech in particular could be it could be a 685 00:34:34,080 --> 00:34:36,960 Speaker 13: positive in terms of ease of regulation and enforcement. But 686 00:34:36,960 --> 00:34:39,680 Speaker 13: there's this idea of economic populism going through the Republican 687 00:34:39,719 --> 00:34:41,919 Speaker 13: Party right now and a lot of scrutiny on big 688 00:34:41,960 --> 00:34:43,680 Speaker 13: tech that could also be in play. So if you're 689 00:34:43,680 --> 00:34:45,719 Speaker 13: in the big tech space, you know, and the Federal 690 00:34:45,760 --> 00:34:48,520 Speaker 13: Trade Commission in the DOJ is investigating you, there could 691 00:34:48,520 --> 00:34:51,359 Speaker 13: be some pretty tough investigations coming, no matter whom mens 692 00:34:51,400 --> 00:34:52,000 Speaker 13: the presidency. 693 00:34:52,560 --> 00:34:54,400 Speaker 7: Hey, Nathan, I know we're on our first day of November, 694 00:34:54,480 --> 00:34:57,279 Speaker 7: but there's always talk about the October surprise. Is that 695 00:34:57,360 --> 00:34:58,240 Speaker 7: something that we saw. 696 00:34:59,400 --> 00:35:00,239 Speaker 2: I don't think so. 697 00:35:00,280 --> 00:35:02,279 Speaker 13: I mean, you know, one thing that we've been leaning 698 00:35:02,280 --> 00:35:04,680 Speaker 13: on is that there's not many people out there who 699 00:35:04,719 --> 00:35:07,200 Speaker 13: are undecided. If you looked at the charts, these charts 700 00:35:07,200 --> 00:35:09,440 Speaker 13: are on the terminal, you know, you're looking at somewhere 701 00:35:09,480 --> 00:35:12,320 Speaker 13: between point five and one percent of the undecided popular 702 00:35:12,400 --> 00:35:15,400 Speaker 13: or the independent population out there, they're still undecided. And 703 00:35:15,480 --> 00:35:17,600 Speaker 13: so this race, in our opinion, has always been about, 704 00:35:17,680 --> 00:35:20,360 Speaker 13: you know, Vice President kam Haaris versus President Trump versus 705 00:35:20,360 --> 00:35:22,400 Speaker 13: the couch. And if people get off the couch and 706 00:35:22,440 --> 00:35:24,719 Speaker 13: they vote, then Vice President most likely wins. If people 707 00:35:24,760 --> 00:35:27,360 Speaker 13: stay on the couch and they don't vote, then President 708 00:35:27,400 --> 00:35:30,000 Speaker 13: Trump could win. So it's more more about a turnout 709 00:35:30,080 --> 00:35:31,440 Speaker 13: rather than an October surprise. 710 00:35:31,520 --> 00:35:32,400 Speaker 2: And I really don't. 711 00:35:32,200 --> 00:35:35,600 Speaker 13: Think we've seen anything that a really changed voters' minds 712 00:35:35,600 --> 00:35:38,080 Speaker 13: in October. But for the question is was there an 713 00:35:38,120 --> 00:35:40,240 Speaker 13: October surprise that we keep people from voting? 714 00:35:40,560 --> 00:35:41,600 Speaker 2: We just still don't know yet. 715 00:35:41,640 --> 00:35:43,520 Speaker 3: All Right, Nathan, thank you so much for joining us. 716 00:35:43,520 --> 00:35:45,600 Speaker 3: As always, Nathan Deane, he's the senior policy annost for 717 00:35:45,600 --> 00:35:48,600 Speaker 3: Bloomberg Intelligence. He's down in Washington, DC. You can see 718 00:35:48,600 --> 00:35:51,359 Speaker 3: his research just go to b I go and he's 719 00:35:51,360 --> 00:35:53,279 Speaker 3: got a lot of great research out there about the 720 00:35:53,280 --> 00:35:57,560 Speaker 3: different scenarios under each type of election scenario, Harris versus 721 00:35:57,560 --> 00:35:59,440 Speaker 3: Trump versus split Congress. 722 00:35:59,400 --> 00:36:01,480 Speaker 2: And he's got got a lot of great researchers. 723 00:36:01,200 --> 00:36:04,160 Speaker 3: About which industries might be impact us to take a 724 00:36:04,160 --> 00:36:05,919 Speaker 3: look at that. All right, folks, speaking of the election, 725 00:36:06,080 --> 00:36:09,759 Speaker 3: join US for complete coverage of US election results Tuesday night. 726 00:36:09,960 --> 00:36:11,920 Speaker 3: It kicks off a five pm Eastern with a special 727 00:36:11,960 --> 00:36:15,720 Speaker 3: two hour edition of Balance of Power, followed by Coast 728 00:36:15,719 --> 00:36:19,200 Speaker 3: to Coast Team Bloomberg Team coverage at seven pm. Get 729 00:36:19,280 --> 00:36:23,600 Speaker 3: live election results and analysis with context Tuesday night on 730 00:36:23,640 --> 00:36:27,400 Speaker 3: Bloomberg Radio, Television and the Bloomberg Podcast YouTube channel. 731 00:36:27,440 --> 00:36:28,560 Speaker 2: So we got you covered there. 732 00:36:28,960 --> 00:36:33,480 Speaker 1: This is the Bloomberg Intelligence Podcast, available on apples, Spotify, 733 00:36:33,680 --> 00:36:36,600 Speaker 1: and anywhere else you will get your podcasts. Listen live 734 00:36:36,680 --> 00:36:40,280 Speaker 1: each weekday ten am to noon Eastern on Bloomberg dot com, 735 00:36:40,400 --> 00:36:43,800 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 736 00:36:43,920 --> 00:36:47,040 Speaker 1: You can also watch us live every weekday on YouTube 737 00:36:47,120 --> 00:36:49,000 Speaker 1: and always on the Bloomberg terminal