1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,240 --> 00:00:12,120 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,200 --> 00:00:15,720 Speaker 2: weekdays at ten am Eastern on focarplaying Enroud Auto with 4 00:00:15,760 --> 00:00:18,800 Speaker 2: the Bloomberg Business App. Listen on demand wherever you get 5 00:00:18,840 --> 00:00:22,320 Speaker 2: your podcasts, or watch us live on YouTube. 6 00:00:22,880 --> 00:00:24,880 Speaker 3: Let's get over to Dave Peacock. He's the CEO of 7 00:00:24,880 --> 00:00:28,920 Speaker 3: Advantage Solutions. He joins us live from Saint Louis, Missouri, 8 00:00:29,080 --> 00:00:30,840 Speaker 3: and we want to talk a little bit about retail 9 00:00:30,920 --> 00:00:35,680 Speaker 3: sales and the economic data that we got in this morning. Dave, 10 00:00:35,960 --> 00:00:41,280 Speaker 3: I see retail sales coming in stronger than anticipated on 11 00:00:41,400 --> 00:00:43,240 Speaker 3: the headline, but if you take out. 12 00:00:43,120 --> 00:00:46,360 Speaker 4: Cars, they're weaker. Cars and gas they're weaker. 13 00:00:46,400 --> 00:00:47,520 Speaker 5: What's your view. 14 00:00:48,800 --> 00:00:51,960 Speaker 6: Yeah, we're seeing i'd say resilient consumer, but at the 15 00:00:52,000 --> 00:00:54,280 Speaker 6: same time a little bit sluggish, especially in the space 16 00:00:54,320 --> 00:00:56,760 Speaker 6: where we work, which is food and personal care, primarily 17 00:00:57,280 --> 00:01:00,160 Speaker 6: the retail sector. And some of that is because of 18 00:01:00,240 --> 00:01:04,080 Speaker 6: the twenty two percent higher prices for groceries that you've 19 00:01:04,080 --> 00:01:06,839 Speaker 6: seen kind of coming out of the pandemic. Well, wages 20 00:01:06,880 --> 00:01:09,720 Speaker 6: are catching up with that. I think for certain consumers 21 00:01:09,800 --> 00:01:11,640 Speaker 6: it's forced them to go value seeking. 22 00:01:12,240 --> 00:01:15,240 Speaker 7: Are we still way above pre pandemic levels. As far 23 00:01:15,280 --> 00:01:17,480 Speaker 7: as things like that, the stuff that I actually. 24 00:01:17,200 --> 00:01:20,600 Speaker 6: Use and eat, we are so depending on the category, 25 00:01:20,600 --> 00:01:23,800 Speaker 6: but overall groceries are around twenty two percent higher than 26 00:01:23,800 --> 00:01:25,360 Speaker 6: they were pre pandemic. 27 00:01:27,360 --> 00:01:30,400 Speaker 7: As far as promotions, I want to set the table 28 00:01:30,480 --> 00:01:33,319 Speaker 7: for Thanksgiving, so to just stick to promotions, the thing 29 00:01:33,400 --> 00:01:35,959 Speaker 7: that the things that are discounting. 30 00:01:37,920 --> 00:01:41,080 Speaker 6: You know, our proprietary research, the advantage we've got says 31 00:01:41,080 --> 00:01:45,320 Speaker 6: that forty percent of shoppers are going to either pull 32 00:01:45,400 --> 00:01:48,440 Speaker 6: back or trade down as a shop for the holidays. 33 00:01:48,520 --> 00:01:53,560 Speaker 7: So when you have to trade down from a turkey, though, well. 34 00:01:53,440 --> 00:01:55,720 Speaker 6: Side be honest because it's ull per pounds, so you 35 00:01:55,800 --> 00:01:57,800 Speaker 6: might actually see people buy a smaller turkey. 36 00:01:58,600 --> 00:01:59,200 Speaker 7: You also have. 37 00:01:59,200 --> 00:02:02,000 Speaker 6: Different price points if it's frozen or fresh. And then 38 00:02:02,040 --> 00:02:03,560 Speaker 6: if you look at the other items in the store, 39 00:02:03,560 --> 00:02:07,640 Speaker 6: you're seeing private label products growing in the retail sector 40 00:02:07,680 --> 00:02:10,959 Speaker 6: while national brands are flattish to declining of it. 41 00:02:11,240 --> 00:02:13,160 Speaker 3: So rather than go with the butterball, you look at 42 00:02:13,200 --> 00:02:20,320 Speaker 3: the Kirkland turkey. Are consumers trading down still from you 43 00:02:21,480 --> 00:02:23,919 Speaker 3: name brand stores. I'm not going to go to Chico's, 44 00:02:24,000 --> 00:02:25,440 Speaker 3: I'm more likely to go to Costco. 45 00:02:25,639 --> 00:02:27,360 Speaker 5: Is that the case with everybody else. 46 00:02:28,200 --> 00:02:31,040 Speaker 6: You're continuing to see channel shift into the value segment, 47 00:02:31,120 --> 00:02:34,320 Speaker 6: into the club stores, into mass merge, and so yeah, 48 00:02:34,360 --> 00:02:36,920 Speaker 6: you are seeing that channel shift with with some consumers. 49 00:02:37,080 --> 00:02:39,400 Speaker 3: Are you seeing the discounting? I mean John mentions it, 50 00:02:39,480 --> 00:02:41,360 Speaker 3: he's always on the lookout. 51 00:02:41,000 --> 00:02:41,560 Speaker 5: For a sale. 52 00:02:41,600 --> 00:02:46,760 Speaker 3: But are producers offering discounts more than they normally would 53 00:02:46,760 --> 00:02:47,440 Speaker 3: around the season? 54 00:02:48,639 --> 00:02:51,519 Speaker 6: You know you're seeing continue discounting, But if you look 55 00:02:51,560 --> 00:02:54,520 Speaker 6: at percent of volume within the grocery store more broadly 56 00:02:54,600 --> 00:02:58,160 Speaker 6: sold on deal or sold on promotion, we're still actually 57 00:02:58,160 --> 00:03:01,160 Speaker 6: a little bit below pandemic levels. What consumers are doing 58 00:03:01,639 --> 00:03:05,080 Speaker 6: to value seek is some are looking for promotions, but 59 00:03:05,120 --> 00:03:08,200 Speaker 6: at a lower rate overall than pre pandemic. But they 60 00:03:08,240 --> 00:03:10,880 Speaker 6: are looking at private label and they are looking at 61 00:03:10,880 --> 00:03:12,680 Speaker 6: different channels where prices can be lower. 62 00:03:13,000 --> 00:03:16,640 Speaker 7: If retail sales are up in this period, does that 63 00:03:16,840 --> 00:03:20,720 Speaker 7: mean debt is also? Are they putting it on credit cards? 64 00:03:20,720 --> 00:03:23,800 Speaker 6: Do you measure that you are seeing credit card balances 65 00:03:23,880 --> 00:03:27,720 Speaker 6: increase and an increase somewhat dramatically. When you look at 66 00:03:27,760 --> 00:03:30,200 Speaker 6: items like food and personal care, they tend to be 67 00:03:30,720 --> 00:03:33,240 Speaker 6: within the normal budget on a month to month basis 68 00:03:33,240 --> 00:03:36,360 Speaker 6: for most consumers, and so where you're seeing debt creep 69 00:03:36,480 --> 00:03:39,800 Speaker 6: up potentially is things like higher value durable goods. 70 00:03:40,440 --> 00:03:42,520 Speaker 7: This is a question for both of you, who can 71 00:03:42,560 --> 00:03:46,360 Speaker 7: afford a new car of these days? Well, I mean, it's. 72 00:03:46,240 --> 00:03:48,880 Speaker 5: Not average, it's not the average, Jill right. I'll just 73 00:03:48,920 --> 00:03:49,800 Speaker 5: step in John and say. 74 00:03:49,800 --> 00:03:53,400 Speaker 3: Bloomberg News did a great story last week pointing out 75 00:03:53,400 --> 00:03:57,080 Speaker 3: that even you know, the top quintile is finding it 76 00:03:57,160 --> 00:04:00,520 Speaker 3: difficult to afford a new car, and therefore look at 77 00:04:00,720 --> 00:04:01,520 Speaker 3: used cars. 78 00:04:01,840 --> 00:04:02,560 Speaker 4: That's why you. 79 00:04:02,480 --> 00:04:06,240 Speaker 3: Know, you see the retail number, retail sales advancing month 80 00:04:06,240 --> 00:04:08,360 Speaker 3: over month zero point four percent. We were only looking 81 00:04:08,360 --> 00:04:10,880 Speaker 3: for zero point three percent. So it's doing well. Then 82 00:04:10,920 --> 00:04:14,120 Speaker 3: you look at the x auto number and it's doing poorly, 83 00:04:14,160 --> 00:04:17,120 Speaker 3: and I guess that's because the price of new cars 84 00:04:17,200 --> 00:04:18,039 Speaker 3: is just so high. 85 00:04:18,200 --> 00:04:19,360 Speaker 4: Is that is that the case, Dave? 86 00:04:20,160 --> 00:04:22,000 Speaker 6: I think that's the case. And you know you're looking 87 00:04:22,040 --> 00:04:25,280 Speaker 6: at dollar increases and so the pricing plays a factor. 88 00:04:25,400 --> 00:04:27,360 Speaker 6: So one thing that we look at, because we operate 89 00:04:27,400 --> 00:04:30,599 Speaker 6: in the retail space of grocery stores, convenience stores mass merged. 90 00:04:30,920 --> 00:04:32,599 Speaker 6: But if you look at restaurants, you saw I think 91 00:04:32,720 --> 00:04:35,839 Speaker 6: zero point seven percent in the service sector growth but 92 00:04:36,120 --> 00:04:39,560 Speaker 6: pricing overall in food away from home has been growing 93 00:04:39,600 --> 00:04:43,279 Speaker 6: at three plus times the rate of food at home recently, 94 00:04:43,440 --> 00:04:46,080 Speaker 6: so food at home is prices have been going up 95 00:04:46,080 --> 00:04:48,840 Speaker 6: around one one and a half percent in the last year, 96 00:04:49,360 --> 00:04:52,000 Speaker 6: and food away from home and restaurants has been closer 97 00:04:52,000 --> 00:04:52,880 Speaker 6: to three and a half to four. 98 00:04:53,080 --> 00:04:53,520 Speaker 5: But on the. 99 00:04:53,520 --> 00:04:57,080 Speaker 3: Durable goods, do you see prices of other you know, 100 00:04:58,320 --> 00:05:03,120 Speaker 3: big ticket items like appliance is as high as they 101 00:05:03,160 --> 00:05:05,200 Speaker 3: are with automobiles. 102 00:05:05,400 --> 00:05:08,800 Speaker 6: Yeah, you're seeing pretty inflated pricing. And what's you know, 103 00:05:08,920 --> 00:05:11,240 Speaker 6: I don't know because we don't work in the automobile space, 104 00:05:11,279 --> 00:05:14,160 Speaker 6: But the question would be how much inventory or dealers 105 00:05:14,200 --> 00:05:16,279 Speaker 6: holding and how what kind of deals are being offered 106 00:05:16,320 --> 00:05:19,320 Speaker 6: by both dealers and manufacturers to get product off. 107 00:05:19,640 --> 00:05:23,400 Speaker 7: These lots going forward. Are retailer's confident that they can 108 00:05:23,760 --> 00:05:26,040 Speaker 7: still pass costs along to consumers? 109 00:05:27,839 --> 00:05:30,800 Speaker 6: Yeah, I think it's to some degree, And it's really 110 00:05:30,839 --> 00:05:33,680 Speaker 6: a question of manufacturers more than retailers, because retailers are 111 00:05:33,680 --> 00:05:36,520 Speaker 6: often the one receiving runs, receiving the pricing. There are 112 00:05:36,600 --> 00:05:40,039 Speaker 6: commodities depending on what you're making, what food you're providing, 113 00:05:40,080 --> 00:05:43,360 Speaker 6: what personal care item for instance, that are still increasing 114 00:05:43,480 --> 00:05:47,200 Speaker 6: or still at elevated levels, and so you know, cocoa 115 00:05:47,279 --> 00:05:49,040 Speaker 6: and chocolate is a good example of that, and we 116 00:05:49,080 --> 00:05:52,080 Speaker 6: saw that during Halloween and it certainly suppressed some of 117 00:05:52,120 --> 00:05:56,000 Speaker 6: the volume during the Halloween windows. So people are going 118 00:05:56,080 --> 00:05:57,800 Speaker 6: to pass it on when they have to, but I 119 00:05:57,800 --> 00:05:59,960 Speaker 6: think they're more reticent given the economic reality. 120 00:06:01,000 --> 00:06:03,560 Speaker 7: What does all this mean for the holiday shopping season. 121 00:06:04,480 --> 00:06:06,720 Speaker 6: It's a short season, right, so we have a late 122 00:06:06,800 --> 00:06:09,479 Speaker 6: Black Friday, we have a late Thanksgiving, and so you 123 00:06:09,520 --> 00:06:12,240 Speaker 6: know the season will spread over twenty two or so 124 00:06:12,320 --> 00:06:15,360 Speaker 6: days versus thirty four. And I think it'll be interesting 125 00:06:15,360 --> 00:06:17,479 Speaker 6: to see how supply chains hold up relative to a 126 00:06:17,520 --> 00:06:21,120 Speaker 6: more compressed demand. Sixty three percent of shoppers, based on 127 00:06:21,160 --> 00:06:24,000 Speaker 6: our research, indicate they're going to shop a little earlier, 128 00:06:24,040 --> 00:06:26,640 Speaker 6: so we may be seeing some of that creeping in 129 00:06:27,160 --> 00:06:29,280 Speaker 6: earlier in November. So it'll be interesting to see where 130 00:06:29,279 --> 00:06:31,120 Speaker 6: the retail sales come out for the next month. 131 00:06:31,160 --> 00:06:34,479 Speaker 7: Hey, can you address for us the divide between the 132 00:06:34,520 --> 00:06:38,080 Speaker 7: haves and have nots and what the overall retail picture 133 00:06:38,120 --> 00:06:39,080 Speaker 7: looks like right now? 134 00:06:40,320 --> 00:06:42,000 Speaker 6: When you say have and have nots, do you mean 135 00:06:42,000 --> 00:06:43,400 Speaker 6: by retailer or by consumer? 136 00:06:43,640 --> 00:06:44,960 Speaker 7: Well, we'll do both. 137 00:06:45,080 --> 00:06:48,240 Speaker 6: I suppose yeah, I mean what we're seeing, let's look 138 00:06:48,240 --> 00:06:50,800 Speaker 6: at the consumer, because I think everything starts there. What 139 00:06:50,839 --> 00:06:55,159 Speaker 6: we see is, you know, lower income consumers are really 140 00:06:55,440 --> 00:06:57,640 Speaker 6: kind of strained in this economy, especially with the elevated 141 00:06:57,680 --> 00:06:59,520 Speaker 6: grocery prices we talked about, which are a day to 142 00:06:59,560 --> 00:07:02,839 Speaker 6: day item, and so they're the ones that are going 143 00:07:02,839 --> 00:07:04,920 Speaker 6: to different channels. They may be pulling back a bit 144 00:07:04,960 --> 00:07:07,480 Speaker 6: on their purchases, which is why you're seeing slower volume, 145 00:07:08,040 --> 00:07:10,760 Speaker 6: and they are looking at private label products on the 146 00:07:10,840 --> 00:07:13,640 Speaker 6: upper end. One thing, at least in the food space 147 00:07:13,640 --> 00:07:17,000 Speaker 6: where we operate, you are seeing for some is golp 148 00:07:17,080 --> 00:07:20,360 Speaker 6: one drugs. You know, is as much as fifteen percent 149 00:07:20,440 --> 00:07:24,800 Speaker 6: of a company's pharmaceutical expenses within their benefits plans. Kimmy 150 00:07:24,880 --> 00:07:27,600 Speaker 6: going now to golp one drugs. Depending on the company, 151 00:07:27,640 --> 00:07:31,040 Speaker 6: it's not saying it's everywhere, but there is a belief 152 00:07:31,080 --> 00:07:33,880 Speaker 6: that it is having an impact on demand, especially for 153 00:07:33,920 --> 00:07:37,240 Speaker 6: that higher lend consumer. They can afford those medications. 154 00:07:37,720 --> 00:07:40,080 Speaker 3: Yeah I can't afford them, but I can't wait to 155 00:07:40,120 --> 00:07:42,240 Speaker 3: get my hands on some weig of eurozempic. 156 00:07:42,720 --> 00:07:44,480 Speaker 7: Doesn't your healthcare plan pay for that? 157 00:07:44,680 --> 00:07:46,920 Speaker 5: They won't? They say, I'm not fat enough yet. 158 00:07:47,000 --> 00:07:48,000 Speaker 7: But what about me? 159 00:07:48,120 --> 00:07:49,440 Speaker 5: I'm doing my best. 160 00:07:49,720 --> 00:07:52,040 Speaker 3: John Tucker, we can both try and find it from 161 00:07:52,360 --> 00:07:54,080 Speaker 3: an unregistered pharmacy. 162 00:07:55,640 --> 00:07:59,520 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 163 00:08:00,200 --> 00:08:03,400 Speaker 2: in ten am Eastern on applecar Play and Android Auto 164 00:08:03,560 --> 00:08:06,320 Speaker 2: with the Bloomberg Business Act. You can also listen live 165 00:08:06,400 --> 00:08:09,600 Speaker 2: on Amazon Alexa from our flagship New York station, Just 166 00:08:09,640 --> 00:08:12,280 Speaker 2: Say Alexa Play Bloomberg eleven thirty. 167 00:08:13,320 --> 00:08:16,840 Speaker 3: Let's shift gears a little bit to politics, or least 168 00:08:17,000 --> 00:08:21,600 Speaker 3: large corporate involvement in politics. Brook Sutherland joins us Bloomberg's 169 00:08:21,600 --> 00:08:23,800 Speaker 3: Boston bureau chief. She's also the writer of the Industrial 170 00:08:24,000 --> 00:08:27,080 Speaker 3: Strength newsletter, and she has a story out on the 171 00:08:27,160 --> 00:08:31,760 Speaker 3: terminal entitled Nobody Knows What's going to Happen CEO's Brace 172 00:08:31,840 --> 00:08:36,559 Speaker 3: for More Trump Brooke, it's interesting you kick off the 173 00:08:36,600 --> 00:08:40,079 Speaker 3: story talking about how corporate leaders just really didn't want 174 00:08:40,120 --> 00:08:42,680 Speaker 3: the same thing that the American public wanted, and that 175 00:08:42,800 --> 00:08:44,600 Speaker 3: is Donald Trump in a second term. 176 00:08:46,160 --> 00:08:47,880 Speaker 8: Yes, I mean, I think you know, if you look 177 00:08:47,880 --> 00:08:50,480 Speaker 8: at a lot of the post is that he has proposed, 178 00:08:50,520 --> 00:08:53,680 Speaker 8: they're not necessarily pro business. You know, of course you 179 00:08:53,720 --> 00:08:56,480 Speaker 8: have the prospect of lower regulation, lower taxes. Those are 180 00:08:56,520 --> 00:08:58,800 Speaker 8: the types of things that businesses love to hear. But 181 00:08:59,160 --> 00:09:02,280 Speaker 8: you also have the disability of a trade war, and 182 00:09:02,320 --> 00:09:05,520 Speaker 8: you know, a reignition of inflation, which is not helpful 183 00:09:06,000 --> 00:09:08,160 Speaker 8: for business leaders. And then you know there's also just 184 00:09:08,240 --> 00:09:12,839 Speaker 8: the chaos factor, you know, the possibility of governance by 185 00:09:12,880 --> 00:09:16,560 Speaker 8: tweet returning and becoming sort of a commonplace thing. I 186 00:09:16,559 --> 00:09:18,839 Speaker 8: think we all all forget a little bit about what 187 00:09:18,920 --> 00:09:21,599 Speaker 8: exactly it was like during Trump's first term, but he 188 00:09:21,640 --> 00:09:26,679 Speaker 8: would rather frequently target specific companies who he was frustrated 189 00:09:26,720 --> 00:09:29,800 Speaker 8: for for whatever different reason, and that creates a lot 190 00:09:29,840 --> 00:09:32,480 Speaker 8: of volatility, a lot of instability for these companies that 191 00:09:32,559 --> 00:09:36,120 Speaker 8: really crave predictability and like to make their decisions on 192 00:09:36,520 --> 00:09:39,719 Speaker 8: a playing field that they understand and can anticipate. 193 00:09:40,080 --> 00:09:43,000 Speaker 3: On the other hand, did you hear Jamie Diamond talking 194 00:09:43,000 --> 00:09:47,480 Speaker 3: to Lisa Bromwitz yesterday from the APEC summit in Peru. 195 00:09:47,840 --> 00:09:49,520 Speaker 4: He said, bank. 196 00:09:49,360 --> 00:09:53,880 Speaker 3: Leaders, whether they voted for Trump or Kamala Harris, were 197 00:09:54,000 --> 00:09:55,800 Speaker 3: dancing in the streets. 198 00:09:56,480 --> 00:09:57,559 Speaker 5: He was pretty upbeat. 199 00:09:57,600 --> 00:10:01,240 Speaker 8: Brooke, Well, I think it might on one industry you're in. 200 00:10:01,520 --> 00:10:04,280 Speaker 8: I mean, I think banking is certainly one that expects 201 00:10:04,320 --> 00:10:06,920 Speaker 8: to see a lot of relief on the regulatory front 202 00:10:07,240 --> 00:10:10,000 Speaker 8: and probably would be less likely to be directly affected 203 00:10:10,000 --> 00:10:14,160 Speaker 8: by anything like tariffs. Whereas manufacturers, even those with substantially 204 00:10:14,280 --> 00:10:19,440 Speaker 8: US manufacturing operations, it's extremely rare for those companies to 205 00:10:19,440 --> 00:10:22,240 Speaker 8: have entirely domestic supply chains. They like to talk a 206 00:10:22,240 --> 00:10:25,040 Speaker 8: lot about local for local manufacturing, but what that means 207 00:10:25,120 --> 00:10:29,800 Speaker 8: is North America in terms of supplying their US operations. 208 00:10:29,800 --> 00:10:33,240 Speaker 8: It's not necessarily just America. And so a lot of 209 00:10:33,240 --> 00:10:37,200 Speaker 8: these companies rely on raw material or component imports to 210 00:10:37,200 --> 00:10:40,400 Speaker 8: some extent, and all of that could potentially be vulnerable 211 00:10:40,440 --> 00:10:42,920 Speaker 8: under the tariffs that Trump has proposed. Now there is 212 00:10:42,960 --> 00:10:45,640 Speaker 8: a sense that, you know, some of this is perhaps bluster, 213 00:10:45,800 --> 00:10:48,560 Speaker 8: it's a negotiating tactic that you know, the policies that 214 00:10:48,600 --> 00:10:50,840 Speaker 8: he's put out there, whether it's sixty percent tariffs on 215 00:10:50,920 --> 00:10:54,080 Speaker 8: China goods, you know, up to one hundred percent tariffs 216 00:10:54,120 --> 00:10:56,880 Speaker 8: on goods from Mexico, ten to twenty percent on everybody else, 217 00:10:56,920 --> 00:11:00,440 Speaker 8: that these are not necessarily the final destination. It's you know, 218 00:11:00,480 --> 00:11:04,160 Speaker 8: meant to be more sort of a negotiating tactic. And 219 00:11:04,240 --> 00:11:06,000 Speaker 8: if that is the case, then you know, I think 220 00:11:06,040 --> 00:11:08,320 Speaker 8: a lot of these companies have shown an ability to 221 00:11:08,480 --> 00:11:10,920 Speaker 8: be adept and pivot their supply chains. But I think 222 00:11:10,920 --> 00:11:13,480 Speaker 8: it's very unpredictable right now and it's not entirely clear 223 00:11:14,040 --> 00:11:16,839 Speaker 8: what his goals are. And he has focused a lot 224 00:11:16,840 --> 00:11:19,319 Speaker 8: on Mexico. And if you look at Mexico, that really 225 00:11:19,440 --> 00:11:22,320 Speaker 8: was one of the biggest beneficiaries of the tariffs from 226 00:11:22,320 --> 00:11:24,800 Speaker 8: his last term, you know, because a lot of companies 227 00:11:24,800 --> 00:11:27,760 Speaker 8: who had supply chains in China decided to bring those 228 00:11:27,800 --> 00:11:29,760 Speaker 8: back to North America. But they didn't put them in 229 00:11:29,800 --> 00:11:31,800 Speaker 8: the US. They put them in Mexico, which has seen 230 00:11:31,880 --> 00:11:35,520 Speaker 8: you know, a really big boom and spending, specifically by manufacturing. 231 00:11:35,640 --> 00:11:38,000 Speaker 7: Yeah, is there really a cost effective way for companies 232 00:11:38,040 --> 00:11:40,760 Speaker 7: to bring their stuff back to the United States. 233 00:11:41,840 --> 00:11:44,520 Speaker 8: Well, to do it effectively, you have to have robots 234 00:11:45,080 --> 00:11:48,520 Speaker 8: or automation. And you know, there are some industries for 235 00:11:48,559 --> 00:11:50,480 Speaker 8: which that works better, for which it you know, makes 236 00:11:50,520 --> 00:11:53,360 Speaker 8: more sense to invest in automation, and there are others 237 00:11:53,360 --> 00:11:56,000 Speaker 8: for which it is much trickier. And you know, some 238 00:11:56,040 --> 00:11:59,400 Speaker 8: of the companies that have been investing in Mexico are 239 00:11:59,480 --> 00:12:01,760 Speaker 8: doing so part because they really struggle to find the 240 00:12:01,840 --> 00:12:04,559 Speaker 8: labor that they need in the US. And so you know, 241 00:12:04,600 --> 00:12:06,640 Speaker 8: whether or not you have automation, just getting that the 242 00:12:06,640 --> 00:12:09,800 Speaker 8: people that you need can be very challenging. And even now, 243 00:12:10,160 --> 00:12:11,520 Speaker 8: you know, as we've seen sort of some of these 244 00:12:11,600 --> 00:12:14,440 Speaker 8: labor shortages ease, you still hear manufacturers talking all the 245 00:12:14,480 --> 00:12:17,840 Speaker 8: time about how difficult it is to get a quality workforce. 246 00:12:18,000 --> 00:12:19,880 Speaker 8: And it's important to remember that this was a challenge 247 00:12:19,920 --> 00:12:23,679 Speaker 8: for the industry even before the pandemic, which certainly exacerbated things. 248 00:12:23,679 --> 00:12:25,959 Speaker 8: But this has been sort of a long standing issue 249 00:12:26,200 --> 00:12:29,600 Speaker 8: in the US. Factory jobs tend to be very rigid. 250 00:12:29,840 --> 00:12:31,960 Speaker 8: There's no work from Hull. They tend to operate on 251 00:12:32,040 --> 00:12:34,920 Speaker 8: like a very set schedule, and that is not appealing 252 00:12:35,400 --> 00:12:37,080 Speaker 8: to a lot of the American population. 253 00:12:38,120 --> 00:12:41,760 Speaker 3: Yeah, it's I think a fascinating story and a fascinating topic. 254 00:12:41,800 --> 00:12:44,000 Speaker 3: I just spoke with Peter Rollinson, the CEO of Lucid, 255 00:12:44,600 --> 00:12:47,280 Speaker 3: and we were asking him if he was bummed about 256 00:12:47,320 --> 00:12:51,600 Speaker 3: maybe losing the tax credit or the fact that his 257 00:12:52,200 --> 00:12:55,000 Speaker 3: chief rival, Elon Musk is like best friends with Donald 258 00:12:55,040 --> 00:12:58,040 Speaker 3: Trump now, and he pointed out, Hey, you know, we 259 00:12:58,440 --> 00:13:01,160 Speaker 3: build and produce our pus here in the United States 260 00:13:01,160 --> 00:13:02,880 Speaker 3: of America, and I think Donald Trump wants to keep 261 00:13:02,920 --> 00:13:03,800 Speaker 3: manufacturing here. 262 00:13:04,280 --> 00:13:06,640 Speaker 7: One of the things that CEOs and investors always want 263 00:13:06,840 --> 00:13:07,880 Speaker 7: is certainty. 264 00:13:08,080 --> 00:13:09,959 Speaker 5: It doesn't sound like from that that's true, and that's. 265 00:13:09,800 --> 00:13:11,680 Speaker 7: Reporting that they're getting much of it right now. 266 00:13:11,840 --> 00:13:13,680 Speaker 3: I think Brook's main point. Brook, thanks so much for 267 00:13:13,760 --> 00:13:17,120 Speaker 3: joining us. Definitely recommend you read the story. Nobody knows 268 00:13:17,160 --> 00:13:20,200 Speaker 3: what's going to happen. CEOs brace for more Trump. 269 00:13:21,679 --> 00:13:25,520 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 270 00:13:25,600 --> 00:13:28,679 Speaker 2: weekdays at ten am Eastern on Apple Car playing Android 271 00:13:28,720 --> 00:13:31,840 Speaker 2: Outo with the Bloomberg Business app. Listen on demand wherever 272 00:13:31,880 --> 00:13:37,120 Speaker 2: you get your podcasts, or watch us live on YouTube now. 273 00:13:37,200 --> 00:13:42,240 Speaker 3: We had seen shares of Tesla and Rivian sliding yesterday 274 00:13:42,240 --> 00:13:45,040 Speaker 3: on a report that Trump plans to acts the seventy 275 00:13:45,040 --> 00:13:48,520 Speaker 3: five hundred dollars EV tax credit put in place unto 276 00:13:48,559 --> 00:13:52,440 Speaker 3: the Biden administration. You do see Tesla shares bouncing back 277 00:13:52,480 --> 00:13:54,560 Speaker 3: a bit today. They're up three and a half percent 278 00:13:54,880 --> 00:13:59,360 Speaker 3: after falling five point eight percent yesterday. Rivian, though still down, 279 00:13:59,400 --> 00:14:03,640 Speaker 3: and I spoke earlier this morning with the CEO of Lucid, 280 00:14:03,840 --> 00:14:08,040 Speaker 3: Peter Rollinson. His shares are off another four percent a 281 00:14:08,080 --> 00:14:10,520 Speaker 3: day after falling five percent yesterday and have hit an 282 00:14:10,559 --> 00:14:14,400 Speaker 3: all time low at less than two dollars Rivian or sorry, 283 00:14:14,440 --> 00:14:17,200 Speaker 3: Lucid trading for a dollar ninety nine a share. I 284 00:14:17,200 --> 00:14:20,240 Speaker 3: want to bring in Steve Man, Bloomberg Intelligence, Global autos 285 00:14:20,280 --> 00:14:25,320 Speaker 3: and Industrial Research Manager, and Steve, I guess the main question, 286 00:14:25,600 --> 00:14:29,960 Speaker 3: how will the EV industry be affected by the Trump administration? 287 00:14:31,080 --> 00:14:34,520 Speaker 9: Yeah, if Trump decides to kind of remove or cut 288 00:14:34,560 --> 00:14:37,440 Speaker 9: the seventy five hundred tax credit or EV tax credit, 289 00:14:38,040 --> 00:14:42,560 Speaker 9: I think most people believe that the EV penetration will stall. 290 00:14:43,000 --> 00:14:47,400 Speaker 9: If not stall, it will probably fall because a lot 291 00:14:47,480 --> 00:14:51,960 Speaker 9: of the consumers are relying on that that's seventy five 292 00:14:52,040 --> 00:14:54,680 Speaker 9: hundred dollars to make sure, you know, to bring down 293 00:14:54,680 --> 00:14:58,960 Speaker 9: the price, the effective price of the vehicle. Most evs 294 00:14:59,040 --> 00:15:02,280 Speaker 9: sold in America are still very expensive. There's only a 295 00:15:02,360 --> 00:15:05,360 Speaker 9: limited number of them that are under fifty thousand dollars. 296 00:15:06,080 --> 00:15:09,680 Speaker 9: So the fear is, uh, you know, it's going to 297 00:15:09,720 --> 00:15:13,800 Speaker 9: stall EV penetration. The automaker is going to have a 298 00:15:13,800 --> 00:15:17,680 Speaker 9: hard time because they's already invested. They've already committed investing 299 00:15:17,840 --> 00:15:22,080 Speaker 9: a lot of money under the Inflation Reduction Act, about 300 00:15:22,080 --> 00:15:24,640 Speaker 9: one hundred and over one hundred and fifty billion dollars 301 00:15:24,920 --> 00:15:27,440 Speaker 9: to onshore a lot of supply chains. So it's going 302 00:15:27,520 --> 00:15:30,320 Speaker 9: to cost a lot of chaos within the industry. 303 00:15:30,480 --> 00:15:34,520 Speaker 7: So they'll be under no pressure whatsoever moving forward, possibly 304 00:15:34,640 --> 00:15:36,320 Speaker 7: to increase sales of evs. 305 00:15:38,160 --> 00:15:41,360 Speaker 9: Yeah, I think the automakers are going to have to 306 00:15:41,440 --> 00:15:45,840 Speaker 9: increase incentives. I think what could happen if the EV 307 00:15:45,960 --> 00:15:51,080 Speaker 9: penetration rate does decrease from about eight percent currently in 308 00:15:51,120 --> 00:15:53,760 Speaker 9: the US. You know you're gonna lead. 309 00:15:53,920 --> 00:15:54,440 Speaker 5: He's gonna be. 310 00:15:54,480 --> 00:15:57,080 Speaker 9: Left with the strongest players, And that to me, that 311 00:15:57,200 --> 00:16:00,520 Speaker 9: looks like it's Tesla, because Tesla does have the lowest 312 00:16:00,560 --> 00:16:06,680 Speaker 9: costs structure amongst all the EV makers in the US, 313 00:16:06,720 --> 00:16:11,600 Speaker 9: and if the market shrinks, the weaker ones will probably 314 00:16:11,640 --> 00:16:12,680 Speaker 9: fall on the wayside. 315 00:16:12,760 --> 00:16:15,280 Speaker 7: And oddly enough, First Bro or what do we call him, 316 00:16:15,280 --> 00:16:18,360 Speaker 7: first friend, Elon Musk, he's not necessarily in favor of 317 00:16:18,400 --> 00:16:21,920 Speaker 7: these these tax subsidies for evs. 318 00:16:22,920 --> 00:16:26,640 Speaker 9: Yeah, I think, you know, to him, I don't. He 319 00:16:26,720 --> 00:16:30,040 Speaker 9: thinks Tesla doesn't need them, And you know, it's it's 320 00:16:30,080 --> 00:16:34,960 Speaker 9: partly true if you look at the amount of cars 321 00:16:35,000 --> 00:16:40,320 Speaker 9: that are least and eligible for the seventy five hundred. 322 00:16:40,360 --> 00:16:42,920 Speaker 9: Actually a lot of the seventy five hundred tax credit 323 00:16:43,400 --> 00:16:46,720 Speaker 9: as actually from leased vehicles If you look at the 324 00:16:46,760 --> 00:16:50,200 Speaker 9: amount of leased vehicles that Tesla have sold in the 325 00:16:50,240 --> 00:16:53,640 Speaker 9: past twelve months, it's about twenty percent, so you know 326 00:16:53,680 --> 00:16:56,400 Speaker 9: they'll get impacted. But if you compare it to Rivian, 327 00:16:57,000 --> 00:17:00,200 Speaker 9: you know, Rivian has about fifty percent of their vehicles 328 00:17:00,840 --> 00:17:04,520 Speaker 9: and those and eligible for the seventy five hundred, so 329 00:17:05,040 --> 00:17:07,240 Speaker 9: it could be a bigger impact in Rivian. Then that's 330 00:17:07,240 --> 00:17:10,840 Speaker 9: probably why you're seeing their stop falling much more. 331 00:17:11,160 --> 00:17:13,520 Speaker 3: Yeah, there's a limit on you don't get the tax 332 00:17:13,560 --> 00:17:16,639 Speaker 3: credit if you're buying a vehicle that costs more than 333 00:17:16,680 --> 00:17:19,439 Speaker 3: eighty thousand dollars. And I believe there's a household income 334 00:17:20,640 --> 00:17:23,119 Speaker 3: requirement as well, you have to be below a certain level. 335 00:17:23,280 --> 00:17:25,840 Speaker 3: But if you lease it, you can get around at 336 00:17:25,960 --> 00:17:27,200 Speaker 3: least one part of that tax credit. 337 00:17:27,240 --> 00:17:29,160 Speaker 5: Isn't that right, Steve? That's right. 338 00:17:29,200 --> 00:17:31,560 Speaker 9: That's actually what I'm referring to. So when we look 339 00:17:31,600 --> 00:17:34,200 Speaker 9: at the companies who's going to get impacted, we really 340 00:17:34,240 --> 00:17:37,959 Speaker 9: look at, you know, how many of those vehicles are leased. 341 00:17:38,280 --> 00:17:40,720 Speaker 9: If you look at EV's in general in the US, 342 00:17:40,840 --> 00:17:44,560 Speaker 9: the you know, the leasing penetration is actually upwards of 343 00:17:44,600 --> 00:17:47,320 Speaker 9: seventy five eighty ninety percent, so a lot of people 344 00:17:47,359 --> 00:17:50,399 Speaker 9: that actually buy evs are leasing it to get that 345 00:17:50,440 --> 00:17:51,680 Speaker 9: seventy five hundred dollars. 346 00:17:51,760 --> 00:17:54,400 Speaker 3: What does the EV market look like right now? I mean, 347 00:17:54,520 --> 00:17:58,680 Speaker 3: I know, if you read the headlines, you would think 348 00:17:58,720 --> 00:18:01,880 Speaker 3: that no one has bought an this year. Like you know, 349 00:18:02,240 --> 00:18:06,639 Speaker 3: the industry is in trouble because they're so unpopular, not 350 00:18:06,720 --> 00:18:09,440 Speaker 3: just politically, but you know, since there's difficult to charge 351 00:18:09,440 --> 00:18:11,960 Speaker 3: for a lot of people, it's just not an option. However, 352 00:18:12,240 --> 00:18:15,600 Speaker 3: don't we still see EV sales actually growing? 353 00:18:16,760 --> 00:18:16,920 Speaker 2: Oh? 354 00:18:16,960 --> 00:18:17,560 Speaker 5: We are. 355 00:18:17,760 --> 00:18:20,320 Speaker 9: We are seeing EV sales growing, especially in the second 356 00:18:20,320 --> 00:18:22,840 Speaker 9: half of this year, because there's been a lot of 357 00:18:22,880 --> 00:18:26,280 Speaker 9: price cuts right over the past eighteen twenty four months 358 00:18:26,640 --> 00:18:28,600 Speaker 9: in the industry and a lot of these vehicles have 359 00:18:28,760 --> 00:18:33,800 Speaker 9: become more affordable, and even especially in the used EV market, 360 00:18:34,160 --> 00:18:38,800 Speaker 9: those vehicles are very competitive to gasoline cars. What the 361 00:18:38,880 --> 00:18:44,360 Speaker 9: industry is really facing is really it's affordability, and it's exaggerating. 362 00:18:44,760 --> 00:18:49,040 Speaker 9: It's getting more impacted by the fact that interest rates 363 00:18:49,040 --> 00:18:52,240 Speaker 9: are high. A lot of people cannot afford expensive cars 364 00:18:52,280 --> 00:18:54,840 Speaker 9: these days, and EV's are a little bit more expensive 365 00:18:54,880 --> 00:18:57,920 Speaker 9: than ice at the moment. So what the industry was 366 00:18:57,920 --> 00:18:59,639 Speaker 9: trying to do, and I think what the IRA was 367 00:18:59,640 --> 00:19:01,840 Speaker 9: trying to dude. We're trying to onshore a lot of 368 00:19:01,880 --> 00:19:04,399 Speaker 9: the production well on shore, a lot of the supply 369 00:19:04,520 --> 00:19:07,720 Speaker 9: chain in the US in hopes of braining costs down 370 00:19:08,320 --> 00:19:13,359 Speaker 9: so automakers can offer more affordable evs. And that's what 371 00:19:13,440 --> 00:19:18,240 Speaker 9: we were expecting. We were actually expecting the EV penetration 372 00:19:18,400 --> 00:19:21,960 Speaker 9: rate to rise, especially into twenty twenty six and twenty 373 00:19:22,000 --> 00:19:22,520 Speaker 9: twenty seven. 374 00:19:23,920 --> 00:19:25,320 Speaker 3: I got to break in here because I feel like, 375 00:19:25,640 --> 00:19:29,040 Speaker 3: you know, Americans have shown a propensity for taking one 376 00:19:29,080 --> 00:19:31,879 Speaker 3: thousand dollars plus monthly payments. I don't think it's about 377 00:19:31,880 --> 00:19:36,200 Speaker 3: the price. Frankly, what do you are that's the big problem. 378 00:19:36,280 --> 00:19:39,679 Speaker 3: I'm test driving right now at GMC Sierra EV. It 379 00:19:39,760 --> 00:19:43,399 Speaker 3: is a fantastic vehicle. It's expensive, but I think a 380 00:19:43,400 --> 00:19:45,560 Speaker 3: lot of people are willing to take on debt to 381 00:19:45,560 --> 00:19:46,320 Speaker 3: own a car like that. 382 00:19:46,400 --> 00:19:48,399 Speaker 4: The problem is there's nowhere to charge it. 383 00:19:48,440 --> 00:19:50,959 Speaker 3: I park in a garage across the street in Manhattan, 384 00:19:51,000 --> 00:19:53,919 Speaker 3: you know, capital of the world, and the only option 385 00:19:54,000 --> 00:19:57,080 Speaker 3: they offer is the slowest potential charge for twenty dollars 386 00:19:57,160 --> 00:19:57,480 Speaker 3: a day. 387 00:19:57,520 --> 00:19:58,680 Speaker 5: So it's just not worth it. 388 00:19:59,400 --> 00:20:02,320 Speaker 9: Yeah, think that's a very good point. Affordabuild. It is 389 00:20:02,359 --> 00:20:05,639 Speaker 9: not the only hurdle. It's the charging and the range, 390 00:20:06,000 --> 00:20:08,960 Speaker 9: and you know, depending on the use, I think a 391 00:20:08,960 --> 00:20:11,119 Speaker 9: lot of people with the second vehicle may may get 392 00:20:11,200 --> 00:20:15,480 Speaker 9: an EV. Uh, someone who's using it for daily commutes 393 00:20:15,640 --> 00:20:18,360 Speaker 9: make an EV. But you know, America is a big 394 00:20:18,400 --> 00:20:21,640 Speaker 9: country and people love to drive cars, and there are 395 00:20:22,920 --> 00:20:27,399 Speaker 9: a big majority of car buyers that are you know, 396 00:20:27,640 --> 00:20:30,399 Speaker 9: are you know, probably staying away from EV. 397 00:20:30,560 --> 00:20:31,240 Speaker 5: Because of that? 398 00:20:31,440 --> 00:20:34,800 Speaker 4: All right, Steve, great update, We got to hang out man. 399 00:20:35,040 --> 00:20:36,400 Speaker 5: I need to talk to you a little bit more. 400 00:20:36,440 --> 00:20:39,720 Speaker 3: Steve Man there Bloomberg Intelligence, Global Autos and Industrial. 401 00:20:39,280 --> 00:20:40,920 Speaker 5: Steef, not me research manager. 402 00:20:41,240 --> 00:20:44,160 Speaker 3: He knows more about cars than you do, and that's 403 00:20:44,200 --> 00:20:46,200 Speaker 3: what I want to rap with him about. 404 00:20:47,800 --> 00:20:51,680 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 405 00:20:51,760 --> 00:20:54,800 Speaker 2: weekdays at ten am Eastern on Apple car Play and 406 00:20:54,800 --> 00:20:57,720 Speaker 2: Android Auto with the Bloomberg Business Act. You can also 407 00:20:57,800 --> 00:21:00,960 Speaker 2: listen live on Amazon Alexa from our flagship New York 408 00:21:01,040 --> 00:21:04,040 Speaker 2: station just say Alexa playing Bloomberg eleven. 409 00:21:06,200 --> 00:21:07,800 Speaker 5: I know that you have plans tonight. 410 00:21:09,080 --> 00:21:09,960 Speaker 7: We were just talking about it. 411 00:21:10,000 --> 00:21:13,399 Speaker 3: You're an empty nester, right, You're gonna You're gonna hit 412 00:21:13,440 --> 00:21:17,400 Speaker 3: the town with some Wall Street big wigs. I, however, 413 00:21:17,600 --> 00:21:19,760 Speaker 3: have little kids at home, so I don't get to 414 00:21:19,800 --> 00:21:20,120 Speaker 3: go out. 415 00:21:20,800 --> 00:21:22,280 Speaker 5: But I'm excited. 416 00:21:21,840 --> 00:21:26,040 Speaker 3: Nonetheless because iron Mike Tyson, a fifty eight year old 417 00:21:26,119 --> 00:21:28,560 Speaker 3: man is preparing to knock out a twenty seven year 418 00:21:28,600 --> 00:21:32,120 Speaker 3: old punk on Netflix. And there's no way I'm gonna 419 00:21:32,119 --> 00:21:34,359 Speaker 3: miss that. Keitha wrong And Athen joins us right now 420 00:21:34,400 --> 00:21:37,840 Speaker 3: Bloomberg Intelligence analysts for US Media, and she covers a 421 00:21:37,880 --> 00:21:40,119 Speaker 3: course Netflix as well out of Princeton, New Jersey. 422 00:21:40,240 --> 00:21:42,080 Speaker 7: Is he really expected to win this thing. 423 00:21:42,440 --> 00:21:43,200 Speaker 5: Mike Tyson? 424 00:21:43,760 --> 00:21:47,160 Speaker 3: He's not gonna lose a boxing match to fifty eight, 425 00:21:47,359 --> 00:21:48,600 Speaker 3: all right, Keith. 426 00:21:48,640 --> 00:21:50,240 Speaker 4: I don't know if you've got the odds on the fight, 427 00:21:50,359 --> 00:21:51,720 Speaker 4: But what is this event? 428 00:21:51,920 --> 00:21:54,760 Speaker 3: I never I hadn't really realized it was going to 429 00:21:56,000 --> 00:21:58,000 Speaker 3: be on my TV until I started reading the news 430 00:21:58,000 --> 00:21:58,399 Speaker 3: this morning. 431 00:21:59,760 --> 00:21:59,960 Speaker 4: Yeah. 432 00:22:00,160 --> 00:22:03,480 Speaker 10: I mean, there's just been so much buzz building up 433 00:22:03,520 --> 00:22:08,480 Speaker 10: for this matchup. It's been heavily promoted, heavily hyped, and 434 00:22:08,520 --> 00:22:11,480 Speaker 10: I mean regardless of whether Mike Tyson or Jake Paul, 435 00:22:11,520 --> 00:22:13,560 Speaker 10: regardless of who wins that. I mean, obviously the big 436 00:22:13,600 --> 00:22:16,639 Speaker 10: winner in either case is going to be Netflix. You know, 437 00:22:16,680 --> 00:22:19,879 Speaker 10: they have over two hundred and eighty million subscribers all 438 00:22:19,960 --> 00:22:23,520 Speaker 10: across the world. This is by far their biggest foray 439 00:22:24,200 --> 00:22:27,480 Speaker 10: into live sports. And remember they're really trying to build 440 00:22:27,520 --> 00:22:31,560 Speaker 10: a business here from scratch, that business being the advertising business, 441 00:22:31,600 --> 00:22:34,560 Speaker 10: and you need eyeballs for that, and they know they 442 00:22:34,560 --> 00:22:37,760 Speaker 10: will get the eyeballs with this matchup. 443 00:22:37,880 --> 00:22:40,399 Speaker 7: So how many people signed up just to see this 444 00:22:40,560 --> 00:22:41,000 Speaker 7: match that? 445 00:22:41,119 --> 00:22:43,200 Speaker 4: I so we are. 446 00:22:43,400 --> 00:22:46,399 Speaker 10: You know, we've obviously I think everybody who wants a 447 00:22:46,400 --> 00:22:49,879 Speaker 10: Netflix subscription already kind of has one, but you know, 448 00:22:49,960 --> 00:22:52,720 Speaker 10: for those who probably don't have one, I think this 449 00:22:52,800 --> 00:22:55,840 Speaker 10: is obviously going to give them that impet us to join, 450 00:22:56,240 --> 00:22:59,120 Speaker 10: and we think it'll actually end up triggering a lot 451 00:22:59,160 --> 00:23:02,760 Speaker 10: more subscribe viers to go on the advertising tier, which 452 00:23:02,840 --> 00:23:05,399 Speaker 10: is one of the cheaper options out there at seven 453 00:23:05,440 --> 00:23:08,960 Speaker 10: dollars a month. And that's actually what Netflix really wants 454 00:23:09,000 --> 00:23:10,320 Speaker 10: because at the end of the day, they want to 455 00:23:10,359 --> 00:23:12,480 Speaker 10: kind of build up that viewer base so that they 456 00:23:12,560 --> 00:23:16,080 Speaker 10: can sell ads against that. So we're actually projecting that, 457 00:23:16,200 --> 00:23:19,919 Speaker 10: you know, Netflix over the course of the entire quarter 458 00:23:20,440 --> 00:23:23,560 Speaker 10: will actually end up adding about ten more than ten 459 00:23:23,560 --> 00:23:26,760 Speaker 10: million subscribers, which is a really healthy number for the 460 00:23:26,760 --> 00:23:27,359 Speaker 10: fourth quarter. 461 00:23:27,520 --> 00:23:30,040 Speaker 7: I remember the conversation my brother had with my father 462 00:23:30,200 --> 00:23:33,840 Speaker 7: way way way back when to get cable. The great 463 00:23:33,840 --> 00:23:38,080 Speaker 7: thing about cable they don't have any ads. How quickly 464 00:23:38,119 --> 00:23:39,960 Speaker 7: that changed. Yeah, now it's changing. 465 00:23:39,640 --> 00:23:42,439 Speaker 5: For streaming, dreaming, streaming as well, KEITHA. 466 00:23:42,520 --> 00:23:45,680 Speaker 3: The main question, and I don't know if you're read 467 00:23:45,720 --> 00:23:49,080 Speaker 3: in on this that I have, is is it a 468 00:23:49,119 --> 00:23:49,760 Speaker 3: real fight? 469 00:23:50,160 --> 00:23:51,080 Speaker 4: Is it a setup? 470 00:23:51,320 --> 00:23:54,120 Speaker 3: I mean, are these two really gonna go at each other? 471 00:23:55,119 --> 00:23:57,880 Speaker 4: No, hold bar, It's a real fight. 472 00:23:58,000 --> 00:24:01,280 Speaker 10: This is not WWE where it's stayed, so it's a 473 00:24:01,320 --> 00:24:03,320 Speaker 10: real fight. I mean, I know all the bets are 474 00:24:03,320 --> 00:24:07,400 Speaker 10: out there, so you know everybody's excited. 475 00:24:07,840 --> 00:24:08,600 Speaker 5: Yeah, I'm pumped. 476 00:24:08,760 --> 00:24:12,240 Speaker 7: This gives you some indication of like just boxing in channel. 477 00:24:12,280 --> 00:24:15,520 Speaker 7: Can you name who is the world heavyweight champion right now? 478 00:24:15,680 --> 00:24:16,480 Speaker 5: No idea. 479 00:24:16,560 --> 00:24:18,720 Speaker 3: But I also don't really know who Jake Paul is, 480 00:24:19,160 --> 00:24:22,880 Speaker 3: so I'm not caught up on non financial news. 481 00:24:23,200 --> 00:24:24,719 Speaker 5: In terms of entertainment. 482 00:24:24,960 --> 00:24:28,200 Speaker 3: The only thing I know is like what drives money 483 00:24:28,240 --> 00:24:32,080 Speaker 3: making and streaming and squid Game is one of those things. 484 00:24:32,160 --> 00:24:32,480 Speaker 5: KEITHA. 485 00:24:33,160 --> 00:24:35,600 Speaker 3: I think a ton of people watched this, and my 486 00:24:35,800 --> 00:24:38,639 Speaker 3: sense is you had to get to the end, and 487 00:24:38,680 --> 00:24:42,359 Speaker 3: when you did, you realized what an incredibly depressing, like 488 00:24:42,480 --> 00:24:45,840 Speaker 3: disappointing letdown. I never want to go through something like 489 00:24:45,880 --> 00:24:49,439 Speaker 3: that again. I would pay money not to watch Squid 490 00:24:49,480 --> 00:24:54,439 Speaker 3: Game again. But Netflix is going to bring out another 491 00:24:54,520 --> 00:24:56,520 Speaker 3: season of this. Is it going to do well? 492 00:24:56,600 --> 00:24:58,600 Speaker 5: Or have we all learned our lesson. 493 00:25:00,000 --> 00:25:02,760 Speaker 10: Want to be gangbusters? I mean, Squid Game one was 494 00:25:03,520 --> 00:25:07,600 Speaker 10: by far the most watched series for Netflix ever. And 495 00:25:07,680 --> 00:25:10,600 Speaker 10: why that's surprising is because this is a non English series. 496 00:25:10,640 --> 00:25:12,480 Speaker 10: I mean, this, this came out of Korea. It was 497 00:25:12,520 --> 00:25:15,000 Speaker 10: made for you know, you have series here that are 498 00:25:15,000 --> 00:25:17,520 Speaker 10: made for something like three hundred four hundred million. This 499 00:25:17,680 --> 00:25:20,439 Speaker 10: entire series was made for something like less than twenty 500 00:25:20,480 --> 00:25:23,000 Speaker 10: million when when it first came out. So it just 501 00:25:23,080 --> 00:25:26,320 Speaker 10: kind of showed how, you know, hits can be generated anywhere, 502 00:25:26,480 --> 00:25:31,119 Speaker 10: how content can resonate across the globe. And Netflix will will, 503 00:25:31,320 --> 00:25:33,639 Speaker 10: you know, obviously go all out on the second season, 504 00:25:33,680 --> 00:25:35,679 Speaker 10: just kind of knowing how much of buzz and how 505 00:25:35,760 --> 00:25:39,240 Speaker 10: much of anticipation has been built already, you know, for 506 00:25:39,320 --> 00:25:40,760 Speaker 10: the after the first season launched. 507 00:25:41,000 --> 00:25:43,479 Speaker 7: So the Korean producers this time or are they challenging 508 00:25:43,800 --> 00:25:45,720 Speaker 7: Netflix a premium for this programming. 509 00:25:46,680 --> 00:25:48,160 Speaker 10: I'm absolutely sure that they are. 510 00:25:49,320 --> 00:25:52,560 Speaker 3: What apparently listen, dude, apparently the writer and Geith it 511 00:25:52,600 --> 00:25:55,159 Speaker 3: correct me if I'm wrong. I think I read the 512 00:25:55,200 --> 00:25:58,919 Speaker 3: other day or heard from Katie Orshnale the writer lost 513 00:25:59,200 --> 00:26:04,200 Speaker 3: seven or eight because the production process was so stressful. 514 00:26:04,320 --> 00:26:05,000 Speaker 5: Is that true? 515 00:26:05,960 --> 00:26:09,240 Speaker 10: I read the same thing. Yeah, I mean it obviously 516 00:26:09,280 --> 00:26:11,760 Speaker 10: they went all out. Yes, it is true, and I 517 00:26:12,600 --> 00:26:13,680 Speaker 10: saw the same thing as well. 518 00:26:14,000 --> 00:26:15,879 Speaker 7: I lost like ten teeth when they told me I 519 00:26:15,920 --> 00:26:17,280 Speaker 7: had to co host with Matt today. 520 00:26:17,960 --> 00:26:20,479 Speaker 4: Dude, I haven't lost teeth since like the fourth grade. 521 00:26:20,520 --> 00:26:21,679 Speaker 5: How do you lose teeth? 522 00:26:21,800 --> 00:26:24,000 Speaker 7: I guess it's stress thing. 523 00:26:24,160 --> 00:26:26,040 Speaker 5: And I chewed tobacco for like thirty years. 524 00:26:26,080 --> 00:26:28,920 Speaker 3: All Right, keitha wrongnoth and thanks so much for joining us. 525 00:26:29,080 --> 00:26:32,120 Speaker 3: She is a Bloomberg Intelligence analyst on US media and Netflix. 526 00:26:32,200 --> 00:26:34,240 Speaker 5: If nothing else, at least you know. 527 00:26:34,240 --> 00:26:37,280 Speaker 3: From listening to us on Bloomberg Radio today that there's 528 00:26:37,320 --> 00:26:40,440 Speaker 3: something to watch on Netflix today Mike Tyson versus Jake. 529 00:26:40,320 --> 00:26:42,119 Speaker 5: Paul Who I guess is like you're gonna watch this 530 00:26:43,280 --> 00:26:47,080 Speaker 5: or yeah, you know. That's a good question. 531 00:26:47,280 --> 00:26:53,120 Speaker 3: What time does this thing actually start? I have no idea, 532 00:26:53,160 --> 00:26:56,240 Speaker 3: but I'm assuming it's past their bedtime. Does anybody in 533 00:26:56,240 --> 00:26:59,440 Speaker 3: the control room know when the Mike Tyson, Mike Tyson, no, no, 534 00:26:59,440 --> 00:27:01,480 Speaker 3: no one knows. Well, we'll figure it out and I'll 535 00:27:01,480 --> 00:27:02,639 Speaker 3: put the kids to bed no matter what. 536 00:27:04,880 --> 00:27:08,520 Speaker 2: Now on Bloomberg Intelligence, Unis in Focus. 537 00:27:10,880 --> 00:27:13,720 Speaker 5: Focus on UNIS is brought to you by Bam. 538 00:27:13,480 --> 00:27:18,879 Speaker 3: Bam Mutual insures municipal bonds that finance essential infrastructure and 539 00:27:18,920 --> 00:27:23,440 Speaker 3: provides guaranteed income to improve any portfolio. Be a part 540 00:27:23,560 --> 00:27:29,960 Speaker 3: of Building America invest in Bam Bam insured bonds. Ma'n 541 00:27:30,080 --> 00:27:33,440 Speaker 3: me and Paul one time did a showdown from Build 542 00:27:33,480 --> 00:27:36,159 Speaker 3: America Mutual and it was a fantastic experience. Got to 543 00:27:36,200 --> 00:27:38,879 Speaker 3: meet all the guys that were working there, got to 544 00:27:39,080 --> 00:27:42,600 Speaker 3: really immerse ourselves in the MUNI market, which I love 545 00:27:42,640 --> 00:27:44,680 Speaker 3: to do. We'll continue that right now with Bloomberg Municipal 546 00:27:44,720 --> 00:27:47,959 Speaker 3: bond reporter Max Adler. He joins us on Zoom Out 547 00:27:48,000 --> 00:27:51,160 Speaker 3: of Los Angeles and Max, before we get to any 548 00:27:51,359 --> 00:27:54,960 Speaker 3: of the specific stories on your radar right now, I 549 00:27:55,000 --> 00:28:00,879 Speaker 3: want to ask about the potential to remove the tax 550 00:28:00,960 --> 00:28:05,440 Speaker 3: advantage of muni's. John mentioned it earlier on how likely 551 00:28:05,760 --> 00:28:08,399 Speaker 3: is that to happen? 552 00:28:09,600 --> 00:28:11,480 Speaker 1: Well, thanks for having me. It's going to be tough 553 00:28:11,480 --> 00:28:15,159 Speaker 1: to follow up that fabulous ad read, But on the 554 00:28:15,200 --> 00:28:18,720 Speaker 1: tax exemption, we don't think it's that likely. It's definitely 555 00:28:18,800 --> 00:28:22,240 Speaker 1: something that's been floated. We have all of these potential 556 00:28:22,240 --> 00:28:24,360 Speaker 1: tax cuts that the Trump administration is going to try 557 00:28:24,400 --> 00:28:28,800 Speaker 1: to push through. They're going to try to extend the TCJA, 558 00:28:28,960 --> 00:28:32,320 Speaker 1: and this has been floated as a possible way to 559 00:28:32,480 --> 00:28:34,600 Speaker 1: make up some of the tax revenue that would be lost. 560 00:28:35,240 --> 00:28:38,520 Speaker 1: But we don't think it's that likely. Trump does have 561 00:28:38,520 --> 00:28:41,000 Speaker 1: a lot of finance people in his corner, Howard Lutnik 562 00:28:41,560 --> 00:28:46,360 Speaker 1: and Canter Fitzgerald. They have some UNI holdings. I would 563 00:28:46,360 --> 00:28:48,560 Speaker 1: not think that he'd be advising Trump to get rid 564 00:28:48,640 --> 00:28:52,280 Speaker 1: of the MUNI tax exemption. And the federal government hasn't 565 00:28:52,280 --> 00:28:55,680 Speaker 1: proven that it can make up for the infrastructure demands 566 00:28:55,720 --> 00:29:00,560 Speaker 1: that unipoke bonds take care of. Right now, muni's about 567 00:29:00,600 --> 00:29:04,240 Speaker 1: seventy five percent of the infrastructure projects that are built 568 00:29:04,240 --> 00:29:08,080 Speaker 1: in the US. So there definitely would be a problem 569 00:29:08,200 --> 00:29:11,840 Speaker 1: financing a lot of those infrastructure projects if the tax 570 00:29:11,880 --> 00:29:13,920 Speaker 1: exemption was done away with. 571 00:29:14,240 --> 00:29:16,760 Speaker 7: Yeah, they'd have to turn to the taxable market. I mean, 572 00:29:17,400 --> 00:29:18,360 Speaker 7: how likely is that? 573 00:29:20,280 --> 00:29:24,680 Speaker 1: Yeah, I don't know if that would be particularly likely. 574 00:29:26,280 --> 00:29:29,720 Speaker 1: We do think that the taxable market would expand a 575 00:29:29,760 --> 00:29:34,240 Speaker 1: little bit if Trump does get his tax cuts through, 576 00:29:34,920 --> 00:29:38,600 Speaker 1: that would lessen the value of the UNI tax exemption 577 00:29:38,760 --> 00:29:42,160 Speaker 1: to some extent, especially in bigger tax states. But yeah, no, 578 00:29:42,240 --> 00:29:45,720 Speaker 1: we don't think it's particularly likely that all of the 579 00:29:45,760 --> 00:29:49,960 Speaker 1: country's infrastructure needs would be met by the taxable market, all. 580 00:29:49,920 --> 00:29:52,800 Speaker 3: Right, So it's not likely, but this is one of 581 00:29:52,840 --> 00:29:58,640 Speaker 3: the ways he could make up for lost revenue from 582 00:29:58,680 --> 00:30:03,440 Speaker 3: the tax cuts. How what kind of shape are the 583 00:30:03,520 --> 00:30:07,480 Speaker 3: municipalities in right now, because you know, a few years 584 00:30:07,520 --> 00:30:10,320 Speaker 3: ago they were just swimming in cash and didn't really 585 00:30:10,360 --> 00:30:13,560 Speaker 3: need to issue too much debt anyway, how do they 586 00:30:13,600 --> 00:30:14,320 Speaker 3: look currently? 587 00:30:16,240 --> 00:30:20,880 Speaker 1: They're so showing some signs of strain, especially in bigger cities. 588 00:30:20,920 --> 00:30:23,240 Speaker 1: We see a lot of different transit agencies right now 589 00:30:23,240 --> 00:30:26,920 Speaker 1: are having a lot of problems that started before the 590 00:30:26,920 --> 00:30:31,000 Speaker 1: COVID pandemic and was exacerbated during the pandemic. You're seeing 591 00:30:31,040 --> 00:30:35,560 Speaker 1: San Francisco is having some signs of budget strain. Chicago 592 00:30:35,960 --> 00:30:38,800 Speaker 1: has been talked about a lot. They're having a lot 593 00:30:38,840 --> 00:30:42,720 Speaker 1: of problems funding their public schools and just with revenues 594 00:30:42,720 --> 00:30:46,160 Speaker 1: in general. So a lot of cities are showing some 595 00:30:46,200 --> 00:30:49,880 Speaker 1: signs of strain, especially now that some of the federal 596 00:30:50,800 --> 00:30:53,640 Speaker 1: stimulus that was injected into the cities during COVID is 597 00:30:53,760 --> 00:30:54,320 Speaker 1: drying up. 598 00:30:54,880 --> 00:30:57,440 Speaker 7: All right, let's talk about sports. Sames traffic, and of 599 00:30:57,480 --> 00:31:01,240 Speaker 7: field was pretty much destroyed by what was it, Hurricane Milton. 600 00:31:01,760 --> 00:31:03,840 Speaker 7: But it's Muni's to the rescue, or is. 601 00:31:03,840 --> 00:31:06,680 Speaker 5: It Probably not. 602 00:31:07,200 --> 00:31:10,280 Speaker 1: It's actually the team that is likely to be covering 603 00:31:10,280 --> 00:31:12,800 Speaker 1: the cost of this. So as part of their lease 604 00:31:12,840 --> 00:31:15,960 Speaker 1: agreement with the City of Saint Petersburg, they don't pay 605 00:31:16,280 --> 00:31:19,240 Speaker 1: anything in rent pretty much, but they are on the 606 00:31:19,240 --> 00:31:23,560 Speaker 1: hook for any maintenance costs and the cost of repairing 607 00:31:23,600 --> 00:31:26,520 Speaker 1: the stadium right now. And as you said there, the 608 00:31:26,600 --> 00:31:29,160 Speaker 1: roof of Trump kind of Field was entirely ripped off 609 00:31:29,240 --> 00:31:32,640 Speaker 1: during Hurricane Milton. They have about fifty five million dollars 610 00:31:32,680 --> 00:31:36,640 Speaker 1: in damages. The Rays have been contributing to this escrow 611 00:31:36,640 --> 00:31:40,120 Speaker 1: account essentially over the length of their lease, which has 612 00:31:40,320 --> 00:31:42,920 Speaker 1: almost been like twenty seven years at this point. So 613 00:31:43,000 --> 00:31:45,360 Speaker 1: there is money in that account that they'll then use 614 00:31:45,440 --> 00:31:49,240 Speaker 1: for the repairs, but it won't be it won't be 615 00:31:49,280 --> 00:31:51,200 Speaker 1: AMMUNI funded repair projects. 616 00:31:51,400 --> 00:31:54,360 Speaker 7: Okay, So I saw the story where the Rays. Of 617 00:31:54,400 --> 00:31:56,560 Speaker 7: course they're moving to Steinbrenner Field, the Yankee is going 618 00:31:56,600 --> 00:32:04,160 Speaker 7: to let them use their training facility, but will everybody 619 00:32:04,160 --> 00:32:07,560 Speaker 7: fit in there? And given the average fan base, yeah, 620 00:32:07,960 --> 00:32:10,000 Speaker 7: they're not going to have any problems moving into a 621 00:32:10,160 --> 00:32:11,320 Speaker 7: much smaller stadium. 622 00:32:11,480 --> 00:32:13,960 Speaker 3: By the way, if people have invested in that kind 623 00:32:14,000 --> 00:32:19,000 Speaker 3: of paper in the past, you know, financing stadiums and 624 00:32:19,040 --> 00:32:22,240 Speaker 3: the like, how well do those investments typically do? 625 00:32:24,320 --> 00:32:27,880 Speaker 1: They typically pay off pretty well. There's like a lot 626 00:32:27,920 --> 00:32:30,960 Speaker 1: of demand for that paper as well. There are a 627 00:32:31,000 --> 00:32:33,000 Speaker 1: lot of like affinity buyers that want to come in 628 00:32:33,240 --> 00:32:38,400 Speaker 1: and buy credits of names that they that they know 629 00:32:38,520 --> 00:32:41,960 Speaker 1: pretty well. It happens with universities, It even happens with 630 00:32:42,000 --> 00:32:45,120 Speaker 1: smaller schools. There was a private school out here in 631 00:32:45,640 --> 00:32:48,840 Speaker 1: La the Curtis School. Their bonds sold out really well, 632 00:32:48,880 --> 00:32:52,479 Speaker 1: and that was mostly like affinity buyers. But stadiums in 633 00:32:52,520 --> 00:32:54,840 Speaker 1: particular do get a lot of those affinity buyers. It 634 00:32:54,880 --> 00:32:59,080 Speaker 1: reminds me of a recent deal that the City of Buffalo, 635 00:32:59,200 --> 00:33:03,920 Speaker 1: actually County where Buffalo is located, was marketing recently. They 636 00:33:03,920 --> 00:33:06,760 Speaker 1: were trying to sell bills bonds as they were calling them, 637 00:33:07,120 --> 00:33:11,240 Speaker 1: and that deal also was pretty well subscribed. It didn't 638 00:33:11,320 --> 00:33:15,920 Speaker 1: draw as much retail demand as they expected. But certainly 639 00:33:16,040 --> 00:33:19,240 Speaker 1: the institutional investors stepped up, all. 640 00:33:19,200 --> 00:33:20,959 Speaker 5: Right, Max, thanks so much for joining us. 641 00:33:21,000 --> 00:33:24,719 Speaker 3: Max Adler there, Bloomberg Municipal Bond Reporter out of Los Angeles. 642 00:33:25,240 --> 00:33:29,760 Speaker 2: This is the Bloomberg Intelligence Podcast, available on apples, Spotify, 643 00:33:29,960 --> 00:33:33,600 Speaker 2: and anywhere else you'll get your podcasts. Listen live each weekday, 644 00:33:33,760 --> 00:33:36,720 Speaker 2: ten am to noon Eastern on Bloomberg dot com, the 645 00:33:36,840 --> 00:33:40,280 Speaker 2: iHeartRadio app, tune In, and the Bloomberg Business app. You 646 00:33:40,320 --> 00:33:43,480 Speaker 2: can also watch us live every weekday on YouTube and 647 00:33:43,640 --> 00:33:45,280 Speaker 2: always on the Bloomberg terminal