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 --> 00:00:13,320 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 card playing 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 --> 00:00:22,320 Speaker 1: or watch us live on YouTube. 6 00:00:23,320 --> 00:00:26,360 Speaker 2: Just men sitting in for Alex Steele here today. I'm 7 00:00:26,360 --> 00:00:28,880 Speaker 2: pol swhen you're live here on a Bloomberg Interactive Brokers Studio. 8 00:00:30,000 --> 00:00:33,360 Speaker 2: Earnings Day, Big Earning, State's Big earnings week actually coming 9 00:00:33,400 --> 00:00:35,320 Speaker 2: up a lot of tech names. We'll keep an eye 10 00:00:35,360 --> 00:00:37,000 Speaker 2: on that. The story of the morning is, I think 11 00:00:37,040 --> 00:00:39,720 Speaker 2: kind of just from the earning's perspective, is Ben McDonald's. 12 00:00:39,840 --> 00:00:43,440 Speaker 2: It's been in the news a lot recently with Coli breakout, 13 00:00:44,000 --> 00:00:48,080 Speaker 2: cole Ye break up. Anyway, Stock put out some numbers today. 14 00:00:48,080 --> 00:00:50,440 Speaker 2: I thought they were okay, but some international weakness. Same 15 00:00:50,479 --> 00:00:53,880 Speaker 2: store sales still negative. That's a challenge for them. They 16 00:00:53,880 --> 00:00:56,800 Speaker 2: try to build traffic there. Again, this quarter does not 17 00:00:56,880 --> 00:00:59,680 Speaker 2: include some of the concerns that they've seen over recent weeks. 18 00:00:59,720 --> 00:01:02,440 Speaker 2: Michael Halen joins US senior restaurant in food service analysts 19 00:01:02,400 --> 00:01:05,320 Speaker 2: for Bloomberg Intelligence. Hey Mike, what did you make from 20 00:01:05,400 --> 00:01:08,400 Speaker 2: McDonald's in the latest quarter, and then like, maybe more importantly, 21 00:01:08,440 --> 00:01:10,639 Speaker 2: what is management saying about kind of what they expect 22 00:01:11,040 --> 00:01:12,400 Speaker 2: their fourth quarter traffic. 23 00:01:12,080 --> 00:01:12,520 Speaker 3: To look like. 24 00:01:14,560 --> 00:01:18,160 Speaker 4: Yeah, Unfortunately, they didn't give us too much information about 25 00:01:18,160 --> 00:01:21,039 Speaker 4: the fourth quarter. I'd say the biggest takeaway from this 26 00:01:21,200 --> 00:01:24,120 Speaker 4: call and the reason why the stock is up right now, 27 00:01:24,160 --> 00:01:26,399 Speaker 4: although it's you know, not knocking to cover off the ball, 28 00:01:27,160 --> 00:01:31,039 Speaker 4: is the fact that they their initiatives, including the five 29 00:01:31,080 --> 00:01:35,440 Speaker 4: dollar value meal Buntdill, the five dollars meal deal I 30 00:01:35,440 --> 00:01:39,480 Speaker 4: should say, the Chicken Big Mac, and some of the 31 00:01:39,480 --> 00:01:43,280 Speaker 4: other initiatives better operations, had actually led to a mid 32 00:01:43,319 --> 00:01:46,959 Speaker 4: single digit same store sales increase and positive traffic for 33 00:01:47,000 --> 00:01:50,840 Speaker 4: the first three weeks of October, and so the streets 34 00:01:50,880 --> 00:01:54,320 Speaker 4: kind of taken that as a positive. Right now, in 35 00:01:54,440 --> 00:01:56,840 Speaker 4: terms of the fourth quarter, it was, you know, they 36 00:01:56,840 --> 00:01:59,680 Speaker 4: didn't give us much information. We did get a nice 37 00:01:59,720 --> 00:02:03,320 Speaker 4: report from Bloomberg second measured Data yesterday that showed Seamstar 38 00:02:03,400 --> 00:02:06,680 Speaker 4: sales were down nine percent last week, so that basically 39 00:02:06,720 --> 00:02:09,400 Speaker 4: wiped out the mid signal digit gain and they're probably 40 00:02:09,440 --> 00:02:12,679 Speaker 4: a little bit from like flat to upp modestly here 41 00:02:13,480 --> 00:02:18,440 Speaker 4: in October, right And so yeah, it's it was kind 42 00:02:18,480 --> 00:02:21,760 Speaker 4: of a good news bad news last couple of days 43 00:02:21,560 --> 00:02:22,720 Speaker 4: for McDonald's. 44 00:02:22,760 --> 00:02:24,880 Speaker 2: Well, John, you were asking, what is a five dollars 45 00:02:25,000 --> 00:02:29,280 Speaker 2: meal deal include? It includes a micdouble or a McChicken sandwich, 46 00:02:29,720 --> 00:02:33,440 Speaker 2: small fries, four piece chicken, McNuggets, and a small soft 47 00:02:33,520 --> 00:02:34,480 Speaker 2: drink that's. 48 00:02:34,280 --> 00:02:35,400 Speaker 5: Solid for five dollars. 49 00:02:36,639 --> 00:02:40,320 Speaker 6: So that's what I missed. The proper dollar menu, Yes 50 00:02:41,240 --> 00:02:43,000 Speaker 6: they were, but I was always a big fan of 51 00:02:43,000 --> 00:02:44,680 Speaker 6: that in college. But I would point out, like in 52 00:02:44,720 --> 00:02:47,080 Speaker 6: twenty fifteen, you saw other companies like Chipotle that were 53 00:02:47,120 --> 00:02:50,079 Speaker 6: hit by E. Coli outbreaks and unfortunately at that time, 54 00:02:50,160 --> 00:02:53,359 Speaker 6: chapotely had to temporary close a number of restaurants on 55 00:02:53,400 --> 00:02:54,800 Speaker 6: the West Coast. What do you think we can glean 56 00:02:54,840 --> 00:02:57,560 Speaker 6: from other instances when this has happened in the restaurant 57 00:02:57,560 --> 00:02:59,840 Speaker 6: industry and how quickly this could be cleared up? 58 00:03:01,680 --> 00:03:04,240 Speaker 4: Yeah, well we think this is very different than Chipotle. 59 00:03:04,440 --> 00:03:08,040 Speaker 4: So a big part of it is just the operational differences. 60 00:03:08,240 --> 00:03:11,760 Speaker 4: You know, McDonald's is a clothes kitchen. You know, it 61 00:03:11,800 --> 00:03:14,960 Speaker 4: turned out to be the slivered onions, and so it 62 00:03:15,000 --> 00:03:18,600 Speaker 4: was one item it wasn't you know, beef patties spread 63 00:03:18,639 --> 00:03:21,520 Speaker 4: across many different products. Right, it was just the onions 64 00:03:21,560 --> 00:03:24,480 Speaker 4: served in the quarter pounders with cheese. So we think 65 00:03:24,520 --> 00:03:26,680 Speaker 4: this outbreak will be smaller than we saw with a 66 00:03:26,680 --> 00:03:31,480 Speaker 4: lot of other chains. Chipotle was also unique. Chipotle same 67 00:03:31,520 --> 00:03:33,639 Speaker 4: star sales dropped for five straight quarters. They were down 68 00:03:33,680 --> 00:03:38,240 Speaker 4: twenty percent that first year. But you know, their food 69 00:03:38,320 --> 00:03:40,960 Speaker 4: is out in the open, right, it's behind a sneeze guard, 70 00:03:41,080 --> 00:03:44,640 Speaker 4: but you know it can get you know, contaminated by 71 00:03:44,720 --> 00:03:49,440 Speaker 4: multiple different employees, even some of the customers potentially, right. 72 00:03:49,520 --> 00:03:54,280 Speaker 4: So it's a much harder operation to get right at Chipotle, 73 00:03:54,400 --> 00:03:56,680 Speaker 4: And for some of those reasons, we think it's gonna 74 00:03:56,680 --> 00:03:58,800 Speaker 4: be a lot shorter, and it's gonna be a lot shallower, 75 00:03:58,880 --> 00:04:01,080 Speaker 4: you know. That being said, I think fourth quarter same 76 00:04:01,120 --> 00:04:03,080 Speaker 4: store sales are definitely going to take a hit. I 77 00:04:03,120 --> 00:04:05,160 Speaker 4: think people are going to be turned off from McDonald's. 78 00:04:05,160 --> 00:04:07,400 Speaker 4: I think it will probably spread a little bit into 79 00:04:07,440 --> 00:04:10,760 Speaker 4: the first quarter next year. But McDonald's is working hard 80 00:04:10,880 --> 00:04:13,840 Speaker 4: to get those same US same store sales kind of 81 00:04:13,840 --> 00:04:16,359 Speaker 4: back on the right trunk. You know, it's gonna be 82 00:04:16,360 --> 00:04:18,360 Speaker 4: about value. There's gonna be more, you know, the five 83 00:04:18,400 --> 00:04:20,360 Speaker 4: dollars meal deal is going to go through your end 84 00:04:20,400 --> 00:04:23,160 Speaker 4: and expect to see more of those type promotions next year. 85 00:04:23,320 --> 00:04:25,680 Speaker 4: They're gonna roll out in everyday Value menu in the 86 00:04:25,680 --> 00:04:30,960 Speaker 4: first quarter. That's should should help boost results next year. 87 00:04:31,080 --> 00:04:33,960 Speaker 4: You know, better operations, more chicken sales like the Chicken 88 00:04:34,000 --> 00:04:37,560 Speaker 4: Big Mac, more digital sales, and they even hinted at 89 00:04:37,600 --> 00:04:42,440 Speaker 4: some fourth quarter food innovation coming out. So they're working 90 00:04:42,440 --> 00:04:45,360 Speaker 4: hard to try to try to course correct here. 91 00:04:45,960 --> 00:04:48,200 Speaker 6: Something with McDonald's I always like to keep an eye 92 00:04:48,240 --> 00:04:51,000 Speaker 6: on for a telltale sign of consumer confidence is the 93 00:04:51,040 --> 00:04:53,680 Speaker 6: French fry indicator because you can tell if how French 94 00:04:53,680 --> 00:04:55,360 Speaker 6: fries are done and how the number of people or 95 00:04:55,560 --> 00:04:58,040 Speaker 6: fries can indicate sort of sentiment, what do you think 96 00:04:58,080 --> 00:05:00,760 Speaker 6: with sort of the latest earnings and what you can 97 00:05:00,760 --> 00:05:02,960 Speaker 6: glean from that and what that really means when it 98 00:05:03,000 --> 00:05:05,880 Speaker 6: comes to what consumer confidence can tell us when the 99 00:05:05,960 --> 00:05:07,440 Speaker 6: French freredicator. 100 00:05:08,360 --> 00:05:10,680 Speaker 4: Well, listen, I'm not looking at the French fry indicator 101 00:05:10,720 --> 00:05:12,920 Speaker 4: to be honest, you know, but but you know what 102 00:05:12,920 --> 00:05:15,559 Speaker 4: we're seeing and what we think will continue to see 103 00:05:15,640 --> 00:05:19,480 Speaker 4: is low income consumers struggling. And so McDonald's that their 104 00:05:19,560 --> 00:05:21,920 Speaker 4: strong result in the first three weeks of October. A 105 00:05:21,920 --> 00:05:23,719 Speaker 4: lot of that was driven by being able to track 106 00:05:23,800 --> 00:05:26,880 Speaker 4: low income consumers in with a very strong price point. 107 00:05:27,160 --> 00:05:31,240 Speaker 4: And you know, but inflation continues to hurt these low 108 00:05:31,279 --> 00:05:34,400 Speaker 4: income consumers. Right we see this ke shaped economy where 109 00:05:35,040 --> 00:05:38,159 Speaker 4: low income consumers are really pulling back on their restaurants spending. 110 00:05:38,200 --> 00:05:41,839 Speaker 4: But right now, asset prices are near you know, a 111 00:05:41,839 --> 00:05:43,800 Speaker 4: lot of them are near all time high. Stock the 112 00:05:43,880 --> 00:05:46,520 Speaker 4: US stock markets near an all time high, Gold and 113 00:05:46,520 --> 00:05:49,680 Speaker 4: silver have been ripping higher, bitcoins approaching another all time high. 114 00:05:49,680 --> 00:05:52,599 Speaker 4: Home prices have held in throughout the higher rates and 115 00:05:52,600 --> 00:05:54,760 Speaker 4: everything else in our near all time highs. And so 116 00:05:55,279 --> 00:05:57,920 Speaker 4: we think, you know, upper middle income, middle income, high 117 00:05:58,120 --> 00:06:02,040 Speaker 4: higher income consumers are all doing well and spending, and 118 00:06:02,600 --> 00:06:05,479 Speaker 4: you know, our chains are trying to attract those customers. 119 00:06:05,800 --> 00:06:08,320 Speaker 2: So, Mike, you, in your research coverage universe, what's kind 120 00:06:08,320 --> 00:06:10,240 Speaker 2: of the best name or two or three that kind 121 00:06:10,279 --> 00:06:12,240 Speaker 2: of standout as or sector in a restaurant business that 122 00:06:12,720 --> 00:06:13,800 Speaker 2: you like better than others? 123 00:06:16,000 --> 00:06:16,279 Speaker 1: Yeah? 124 00:06:16,360 --> 00:06:21,640 Speaker 4: Yeah, Well, I think past Casual is kind of outperformed 125 00:06:21,680 --> 00:06:23,799 Speaker 4: a bit that some of the names we cover anyway, 126 00:06:23,839 --> 00:06:28,040 Speaker 4: not that the entire industry, but Wingstop has done a 127 00:06:28,040 --> 00:06:33,520 Speaker 4: great job attracting both younger and higher income consumers into 128 00:06:33,560 --> 00:06:36,200 Speaker 4: their brand and they're absolutely knocking to cover off the ball. 129 00:06:37,320 --> 00:06:39,040 Speaker 4: You know, Chipotle has done a great job with their 130 00:06:39,040 --> 00:06:42,600 Speaker 4: digital sales and strategic part pricing and they're continuing to 131 00:06:42,760 --> 00:06:46,240 Speaker 4: draw consumers that see value on the plate there. And 132 00:06:46,279 --> 00:06:49,720 Speaker 4: then Texas Roadhouse is another one that's absolutely crushed it. 133 00:06:49,760 --> 00:06:51,120 Speaker 5: You know, we're not super. 134 00:06:50,920 --> 00:06:55,120 Speaker 4: High on casual dining, but they've been a machine man. 135 00:06:55,240 --> 00:06:59,000 Speaker 4: They're they're driving people into the restaurant with a lot 136 00:06:59,000 --> 00:07:01,680 Speaker 4: of value on that plate, right, and a very good experience. 137 00:07:01,760 --> 00:07:04,600 Speaker 4: And that's another one that's that's killing it. I think 138 00:07:04,600 --> 00:07:06,960 Speaker 4: there's Seams sourch sales are actually even better than Chipotle's 139 00:07:06,960 --> 00:07:08,679 Speaker 4: over the last five years, trailing. 140 00:07:08,760 --> 00:07:09,760 Speaker 3: So okay, all. 141 00:07:09,720 --> 00:07:10,000 Speaker 1: Right, Mike. 142 00:07:10,200 --> 00:07:11,600 Speaker 2: Always good to catch up with you and get the 143 00:07:11,640 --> 00:07:13,920 Speaker 2: latest on the restaurant biz. And McDonald's here today with 144 00:07:13,960 --> 00:07:17,200 Speaker 2: their earnings stock trading a little bit higher. Here McMichael Halem. 145 00:07:17,280 --> 00:07:20,240 Speaker 2: He's a senior restaurant and food service analysts for Bloomberg Intelligence. 146 00:07:21,880 --> 00:07:25,760 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 147 00:07:25,840 --> 00:07:28,360 Speaker 1: weekdays at ten am Eastern on Apple. 148 00:07:28,120 --> 00:07:31,120 Speaker 5: Card Play and Android Auto with the Bloomberg Business app. 149 00:07:31,240 --> 00:07:34,120 Speaker 1: You can also listen live on Amazon Alexa from our 150 00:07:34,120 --> 00:07:38,840 Speaker 1: flagship New York station. Just say Alexa playing Bloomberg eleven thirty. 151 00:07:39,560 --> 00:07:41,800 Speaker 2: Jess meant sitting in for Alex Steele on Paul Sweeney. 152 00:07:41,840 --> 00:07:44,320 Speaker 2: We are live here on Bloomberg Interactive Brokers Studio, streaming 153 00:07:44,360 --> 00:07:47,840 Speaker 2: live on YouTube as well. So go check us out there. 154 00:07:48,400 --> 00:07:51,160 Speaker 2: Big Tech Earnings it starts today after the close with 155 00:07:51,320 --> 00:07:54,320 Speaker 2: your friends at Google, and then we're gonna hear from 156 00:07:54,360 --> 00:07:56,800 Speaker 2: you know, Meta and everybody else along the line, Apple 157 00:07:56,840 --> 00:07:58,560 Speaker 2: and Amazon and all that kind of good good stuff. 158 00:07:58,640 --> 00:08:00,400 Speaker 2: So when you want to talk tech company, you want 159 00:08:00,360 --> 00:08:02,320 Speaker 2: to talk tech earnings, you need to talk to Gene Monster, 160 00:08:02,680 --> 00:08:05,400 Speaker 2: managing partner and co founder at Loop Ventures. I think 161 00:08:05,400 --> 00:08:11,520 Speaker 2: one of the more tenured reasonable voices on all things technology. Gene, 162 00:08:11,520 --> 00:08:13,640 Speaker 2: thanks so much for joining us here. Let's start with Google. 163 00:08:13,640 --> 00:08:15,920 Speaker 2: We're gonna hear from them after the close. Year This 164 00:08:15,960 --> 00:08:18,400 Speaker 2: stacks ABO up a little over twenty percent, but it 165 00:08:18,560 --> 00:08:20,880 Speaker 2: just feels like there's some concerns around Google in their 166 00:08:20,880 --> 00:08:25,080 Speaker 2: core search business, perhaps under some type of threat from AI. 167 00:08:25,200 --> 00:08:27,520 Speaker 2: How do you position the Google story here and what 168 00:08:27,520 --> 00:08:28,400 Speaker 2: will you be looking for? 169 00:08:29,800 --> 00:08:31,760 Speaker 7: Paul, you nailed it. I mean that is what I 170 00:08:31,800 --> 00:08:34,440 Speaker 7: would identify as the pressure point, the single piece that 171 00:08:34,520 --> 00:08:37,120 Speaker 7: matters the most. This is more important than the Google 172 00:08:37,120 --> 00:08:39,520 Speaker 7: Cloud number. A lot of investors are going to be 173 00:08:39,559 --> 00:08:43,040 Speaker 7: focusing on the Google Cloud, but keep in mind clouds 174 00:08:43,080 --> 00:08:46,200 Speaker 7: call it twelve percent of revenue. Search is just over 175 00:08:46,360 --> 00:08:49,839 Speaker 7: fifty and cloud is not in front of some existential 176 00:08:49,920 --> 00:08:54,800 Speaker 7: threat related to AI. And so the quick backstory is 177 00:08:54,840 --> 00:08:57,560 Speaker 7: that Google Search in the March quarter was up fourteen 178 00:08:57,600 --> 00:09:00,920 Speaker 7: percent year of year. It was up fourteen percent in 179 00:09:00,960 --> 00:09:05,720 Speaker 7: the June quarter, so showed some surprising strength quarter to quarter. 180 00:09:05,760 --> 00:09:08,719 Speaker 7: There the streets looking for plus twelve. But this is 181 00:09:08,760 --> 00:09:12,120 Speaker 7: where the plot thickens is that in the September quarter, 182 00:09:12,559 --> 00:09:16,000 Speaker 7: this will be the first full quarter where AI overviews 183 00:09:16,120 --> 00:09:19,920 Speaker 7: powered Google Search in the US. They launched in May, 184 00:09:20,000 --> 00:09:22,439 Speaker 7: so it got a partial quarter in the June quarter, 185 00:09:22,440 --> 00:09:25,400 Speaker 7: but we're going to see the first full quarter. And 186 00:09:25,440 --> 00:09:30,400 Speaker 7: then they launched another one hundred countries in the month 187 00:09:30,440 --> 00:09:33,040 Speaker 7: of October, so that's going to impact the December results. 188 00:09:33,040 --> 00:09:36,319 Speaker 7: But the reason why this search number is so important 189 00:09:36,520 --> 00:09:40,200 Speaker 7: is that if in fact the US search business holds 190 00:09:40,240 --> 00:09:43,400 Speaker 7: together for the first full quarter, that would be the 191 00:09:43,559 --> 00:09:47,559 Speaker 7: most I think substantial data point that Google investors can 192 00:09:47,720 --> 00:09:51,040 Speaker 7: have to feel comfortable about how this transition over the 193 00:09:51,040 --> 00:09:54,200 Speaker 7: next one two five years is going to go for Google, 194 00:09:54,240 --> 00:09:56,800 Speaker 7: that they're not going to lose share to the likes 195 00:09:56,840 --> 00:10:00,640 Speaker 7: of Open Ai, and so I'm really focused on that number. 196 00:10:00,720 --> 00:10:04,920 Speaker 7: Just one other kind of the inside baseball here. Google 197 00:10:04,960 --> 00:10:08,640 Speaker 7: doesn't break out US search revenue, so we're not going 198 00:10:08,720 --> 00:10:10,800 Speaker 7: to get really a clean look at that number. It's 199 00:10:10,800 --> 00:10:14,320 Speaker 7: just a global number. They do break out Google revenue 200 00:10:14,320 --> 00:10:19,880 Speaker 7: in the US. It was up eighteen percent in the 201 00:10:20,000 --> 00:10:22,560 Speaker 7: Just Reporter quarter. It's expected to be up twelve percent 202 00:10:23,240 --> 00:10:25,840 Speaker 7: in the September quarter. So if they do better than 203 00:10:25,840 --> 00:10:27,280 Speaker 7: that twelve I think it's going to be a good 204 00:10:27,360 --> 00:10:31,360 Speaker 7: view of AI overviews and keep Google investors confident that 205 00:10:31,440 --> 00:10:33,920 Speaker 7: this company can navigate this seismic change. 206 00:10:34,040 --> 00:10:35,920 Speaker 6: Of course, as you know, Gene, we're going to have 207 00:10:36,160 --> 00:10:39,440 Speaker 6: meta platforms after the bell on Wednesday, And when you 208 00:10:39,480 --> 00:10:41,800 Speaker 6: look here to date for Meta up about sixty six 209 00:10:41,880 --> 00:10:45,560 Speaker 6: percent compared to about twenty percent roughly for Google. What 210 00:10:45,600 --> 00:10:47,160 Speaker 6: are you watching when it comes to meta and the 211 00:10:47,160 --> 00:10:51,840 Speaker 6: AI story. 212 00:10:49,760 --> 00:10:52,240 Speaker 7: I mean, then the bars much higher the plus twenty 213 00:10:52,320 --> 00:10:55,080 Speaker 7: four the streets looking for I think eighteen percent growth 214 00:10:55,080 --> 00:11:00,240 Speaker 7: for this quarter or twenty two I should say it 215 00:11:00,280 --> 00:11:02,959 Speaker 7: peaked at twenty four percent. Growth is at twenty two percent. 216 00:11:03,600 --> 00:11:05,600 Speaker 7: I mean, it really comes down to their advertising growth 217 00:11:05,600 --> 00:11:07,839 Speaker 7: and ultimately if they can continue to keep that going, 218 00:11:08,760 --> 00:11:11,960 Speaker 7: you know, as impacting all their business. Another important factor 219 00:11:12,040 --> 00:11:15,000 Speaker 7: is their daily active users three point three billion. I mean, 220 00:11:15,000 --> 00:11:19,160 Speaker 7: this remarkable number, up six percent year of a year, 221 00:11:19,240 --> 00:11:21,720 Speaker 7: is up seven percent in the previous quarter. They just 222 00:11:21,840 --> 00:11:25,520 Speaker 7: keep cranking, and I think it's testimony to how addictive 223 00:11:25,640 --> 00:11:28,400 Speaker 7: Metas products are just really incredible. 224 00:11:29,200 --> 00:11:31,839 Speaker 2: And the stock market agrees with the genius stocks up. 225 00:11:31,880 --> 00:11:33,800 Speaker 2: You know, it's been one of the best performers of 226 00:11:33,880 --> 00:11:35,360 Speaker 2: kind of the big tech. 227 00:11:35,440 --> 00:11:38,520 Speaker 7: It games, particularly twenty four percent YEP over the past 228 00:11:38,600 --> 00:11:41,160 Speaker 7: three months, NAZEKX up seven Paul, Yeah, and it's just 229 00:11:41,320 --> 00:11:44,040 Speaker 7: continued to power forward. And I just I would stress 230 00:11:44,120 --> 00:11:47,080 Speaker 7: that point that the bar is high from Meta going 231 00:11:47,080 --> 00:11:50,320 Speaker 7: into this earnings UH trades at twenty four times. But 232 00:11:50,840 --> 00:11:54,880 Speaker 7: this is just an overall revenue growth story. And Zuckerberg 233 00:11:54,960 --> 00:11:57,640 Speaker 7: has kind of made the case to investors more recently 234 00:11:57,679 --> 00:12:00,960 Speaker 7: at their dev day that you know, they're just going 235 00:12:01,040 --> 00:12:02,720 Speaker 7: to be AI across all of their. 236 00:12:02,600 --> 00:12:05,920 Speaker 2: Products and gene There was a time not too far 237 00:12:05,960 --> 00:12:09,439 Speaker 2: ago long ago when people are worre concerned about the 238 00:12:09,480 --> 00:12:13,560 Speaker 2: spending at Meta, particularly on the metaverse, what's the thinking 239 00:12:13,640 --> 00:12:15,720 Speaker 2: now about how management's thinking about that. 240 00:12:17,400 --> 00:12:20,800 Speaker 7: Well, they've gotten to pass because the growth is accelerated 241 00:12:20,920 --> 00:12:23,160 Speaker 7: essentially to a kind of had bottom that right around 242 00:12:23,160 --> 00:12:25,760 Speaker 7: twelve percent and then accelerated up to twenty four percent 243 00:12:25,800 --> 00:12:28,280 Speaker 7: over the past year and a half. And so that 244 00:12:28,440 --> 00:12:32,960 Speaker 7: kind of, as I think, kept investors in a comfortable place. 245 00:12:33,600 --> 00:12:36,240 Speaker 7: But the spending on reality labs, this is the group 246 00:12:36,280 --> 00:12:41,160 Speaker 7: that's predominantly working on some form of AI glasses, something 247 00:12:41,200 --> 00:12:43,360 Speaker 7: that's more like the ray bands that they have. They're 248 00:12:43,440 --> 00:12:46,480 Speaker 7: very different than Apple's Vision Pro, but the spending on 249 00:12:46,520 --> 00:12:49,920 Speaker 7: that group continues to be aggressive, and specifically is that 250 00:12:49,960 --> 00:12:54,400 Speaker 7: they're expected to lose about twenty billion dollars this year. 251 00:12:54,520 --> 00:12:57,120 Speaker 7: I mean to put that into perspective is that on 252 00:12:57,200 --> 00:12:59,719 Speaker 7: a similar type of initiative for Vision Pro, Apple will 253 00:12:59,760 --> 00:13:02,280 Speaker 7: spend about two billion dollars in development a year. And 254 00:13:02,320 --> 00:13:05,520 Speaker 7: so we're talking about kind of a ten x magnitude 255 00:13:05,640 --> 00:13:08,760 Speaker 7: of investment that they're making. And the answer question, Paul, 256 00:13:08,800 --> 00:13:11,920 Speaker 7: is that investors are giving Meta a pass right now. 257 00:13:12,559 --> 00:13:16,480 Speaker 7: I see their aggressive spending in reality labs as a 258 00:13:16,480 --> 00:13:20,040 Speaker 7: win win for Meta long term. If in fact these 259 00:13:20,080 --> 00:13:22,800 Speaker 7: wearables do take off with their oryan project in the 260 00:13:22,840 --> 00:13:25,360 Speaker 7: next few years, then you're going to see some revenue 261 00:13:25,360 --> 00:13:27,720 Speaker 7: growth and that would be viewed as a positive. And 262 00:13:27,800 --> 00:13:29,960 Speaker 7: if they don't, if this doesn't take off, they're going 263 00:13:30,040 --> 00:13:32,200 Speaker 7: to cut spending and that should be good for earnings. 264 00:13:32,240 --> 00:13:36,319 Speaker 7: And so, in kind of a strange twist of events, 265 00:13:36,440 --> 00:13:39,240 Speaker 7: this Reality Labs is actually setting up to be a 266 00:13:39,360 --> 00:13:41,400 Speaker 7: positive for the stock in the next couple of years 267 00:13:41,679 --> 00:13:42,400 Speaker 7: when it comes. 268 00:13:42,280 --> 00:13:46,120 Speaker 6: To people talking about the AI potential slowdown in growth. 269 00:13:46,240 --> 00:13:48,120 Speaker 6: But of course there are all those base effects right 270 00:13:48,160 --> 00:13:51,079 Speaker 6: when it comes to big tech, because in twenty twenty two, 271 00:13:51,160 --> 00:13:53,480 Speaker 6: obviously there was such a low bar. We were in 272 00:13:53,559 --> 00:13:56,120 Speaker 6: a bear market. Earnings projections were a lot lower than 273 00:13:56,160 --> 00:13:59,439 Speaker 6: obviously last year. Once in Nvidia had that gangbuster revenue 274 00:13:59,440 --> 00:14:03,280 Speaker 6: forecast last May in twenty twenty three, obviously the base 275 00:14:03,320 --> 00:14:05,680 Speaker 6: effects were a lot more dramatic. So when you're looking 276 00:14:05,760 --> 00:14:07,880 Speaker 6: at the kind of year over year growth, the numbers 277 00:14:07,920 --> 00:14:10,840 Speaker 6: around twenty percent for the BAG seven obviously not quite 278 00:14:10,880 --> 00:14:13,040 Speaker 6: as high as the average more than thirty percent growth 279 00:14:13,040 --> 00:14:15,400 Speaker 6: in twenty three, But what do you make of that 280 00:14:15,440 --> 00:14:17,720 Speaker 6: when you see more of the growth stocks and in 281 00:14:17,760 --> 00:14:20,400 Speaker 6: the projections for their profit growth coming more in line 282 00:14:20,520 --> 00:14:22,240 Speaker 6: with the rest of the S and P five hundred 283 00:14:22,280 --> 00:14:22,720 Speaker 6: next year. 284 00:14:24,800 --> 00:14:27,960 Speaker 7: I think investors are missing this. I think that this 285 00:14:28,560 --> 00:14:31,200 Speaker 7: may be kind of an uncomfortable I believe this is 286 00:14:31,440 --> 00:14:34,080 Speaker 7: going to be an uncomfortable truth around AI, and what 287 00:14:34,080 --> 00:14:36,760 Speaker 7: it means for big tech is that this is going 288 00:14:36,840 --> 00:14:40,000 Speaker 7: to be more significant than what I think. Investors believe. 289 00:14:40,040 --> 00:14:42,960 Speaker 7: It's going to grow faster for longer, and I think 290 00:14:43,000 --> 00:14:46,040 Speaker 7: what you just described agree with all those facts, and 291 00:14:46,200 --> 00:14:49,760 Speaker 7: ultimately there's this sense for investors that were just one 292 00:14:49,840 --> 00:14:52,280 Speaker 7: quarter away from some sort of data point that's going 293 00:14:52,320 --> 00:14:55,000 Speaker 7: to show that AIS the substance is not going to 294 00:14:55,400 --> 00:14:58,480 Speaker 7: reach the hype, and I suspect that, well, we may 295 00:14:58,560 --> 00:15:02,520 Speaker 7: get occasional data points that are to kind of the 296 00:15:02,520 --> 00:15:05,760 Speaker 7: barish case of AI. The overwhelming body of evidence we're 297 00:15:05,760 --> 00:15:07,600 Speaker 7: going to see in the quarters ahead are going to 298 00:15:07,640 --> 00:15:12,880 Speaker 7: suggest that this trend is unstoppable. And that's some pretty 299 00:15:13,000 --> 00:15:15,720 Speaker 7: high bars I like to be measured in my expectations, 300 00:15:15,720 --> 00:15:18,720 Speaker 7: but I do believe that these companies, most of them, 301 00:15:18,800 --> 00:15:20,920 Speaker 7: are going to see growth higher than what investors think. 302 00:15:21,000 --> 00:15:23,800 Speaker 7: I'm already tuned into the twenty twenty six growth numbers. 303 00:15:24,280 --> 00:15:26,160 Speaker 7: Most of them for these big companies are kind of 304 00:15:26,160 --> 00:15:28,760 Speaker 7: in the low teens range, and I suspect that the 305 00:15:28,800 --> 00:15:30,400 Speaker 7: growth will be mid to high teens. 306 00:15:30,680 --> 00:15:32,680 Speaker 2: Gene, thanks so much for joining us. Really appreciate getting 307 00:15:32,680 --> 00:15:34,760 Speaker 2: a few minutes of your time. As always, Gene Mounster. 308 00:15:35,080 --> 00:15:37,240 Speaker 2: He's a managing partner. He's a co founder at Loop 309 00:15:37,400 --> 00:15:39,320 Speaker 2: Ventures based in Minneapolis. 310 00:15:40,680 --> 00:15:44,560 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 311 00:15:44,640 --> 00:15:46,400 Speaker 1: weekdays at ten am Eastern on. 312 00:15:46,560 --> 00:15:49,520 Speaker 5: Fo card Playing and Broudoto with the Bloomberg Business app. 313 00:15:49,520 --> 00:15:52,720 Speaker 1: Listen on demand wherever you get your podcasts, or watch 314 00:15:52,800 --> 00:15:54,760 Speaker 1: us live on YouTube. 315 00:15:55,400 --> 00:15:58,680 Speaker 2: Custumer competence data came out one away point seven. The 316 00:15:58,680 --> 00:16:02,680 Speaker 2: consensus was ninety nine point five prior period was revised 317 00:16:02,760 --> 00:16:04,760 Speaker 2: up to ninety nine point two. So a big, big 318 00:16:04,840 --> 00:16:07,600 Speaker 2: jump here relative to expectations in the last period. Let's 319 00:16:07,640 --> 00:16:10,520 Speaker 2: break it down. Jess re checking with Dana Peterson, chief 320 00:16:10,560 --> 00:16:14,000 Speaker 2: economists at the Conference Board. Dana put this number into 321 00:16:14,040 --> 00:16:16,920 Speaker 2: context for us. It seems certainly really good relative to 322 00:16:16,920 --> 00:16:18,200 Speaker 2: what the market was expecting. 323 00:16:19,440 --> 00:16:23,520 Speaker 8: Yes, definitely, consumers were on the whole pretty happy in 324 00:16:23,560 --> 00:16:27,400 Speaker 8: October certainly they think the present situation is better. And 325 00:16:27,520 --> 00:16:31,920 Speaker 8: also expectations and notably expectations for jobs were positive for 326 00:16:31,960 --> 00:16:34,000 Speaker 8: the first time in almost a year and a half. 327 00:16:34,520 --> 00:16:36,200 Speaker 8: So there's really good news out there. 328 00:16:37,120 --> 00:16:38,760 Speaker 6: So what do you think this means as far as 329 00:16:38,760 --> 00:16:42,040 Speaker 6: the direction of the economy here, Well, the. 330 00:16:42,120 --> 00:16:45,479 Speaker 8: US economy has been doing quite well, and indeed consumers 331 00:16:45,480 --> 00:16:47,520 Speaker 8: have been driving it. We saw on the tracking data 332 00:16:47,560 --> 00:16:51,960 Speaker 8: from retail sales and also from the BEA that consumers 333 00:16:52,000 --> 00:16:55,280 Speaker 8: are buying goods, they're buying services. That's certainly supporting growth, 334 00:16:55,560 --> 00:16:58,200 Speaker 8: and we're seeing that finally show up in confidence. Indeed, 335 00:16:58,200 --> 00:17:00,480 Speaker 8: consumers were getting a little bit worried about the labor 336 00:17:00,520 --> 00:17:03,280 Speaker 8: market over the summer, but then we had those blockbuster 337 00:17:03,360 --> 00:17:06,960 Speaker 8: payrolls numbers. Most consumers are seeing their incomes rise because 338 00:17:07,000 --> 00:17:10,119 Speaker 8: wages are elevated. Most consumers are working. We are seeing 339 00:17:10,160 --> 00:17:12,240 Speaker 8: a little bit of layoffs here and there, but again, 340 00:17:12,800 --> 00:17:15,840 Speaker 8: the predominant sense among consumers, at least for this month, 341 00:17:15,920 --> 00:17:16,840 Speaker 8: is that they're okay. 342 00:17:18,680 --> 00:17:21,040 Speaker 2: How much data do you think is impacted at all 343 00:17:21,080 --> 00:17:23,880 Speaker 2: by the Fed cutting rates? Does that come into your 344 00:17:24,320 --> 00:17:25,120 Speaker 2: calculation here? 345 00:17:26,320 --> 00:17:29,200 Speaker 8: Absolutely? We have one question where we ask about interest 346 00:17:29,280 --> 00:17:33,760 Speaker 8: rate expectations, and that measure actually ticked up. And we 347 00:17:33,800 --> 00:17:36,560 Speaker 8: do have items where consumers said that they're not as 348 00:17:36,600 --> 00:17:38,879 Speaker 8: convinced that rates are going to come off. But then 349 00:17:38,920 --> 00:17:40,760 Speaker 8: we did see some who were saying, look, the Fed 350 00:17:40,840 --> 00:17:42,840 Speaker 8: has cut interest rates. We're seeing a little bit of 351 00:17:42,880 --> 00:17:46,040 Speaker 8: improvement in that. So certainly we're going to need more 352 00:17:46,160 --> 00:17:49,199 Speaker 8: interest rate cuts before consumers pretty come out, probably come 353 00:17:49,240 --> 00:17:52,040 Speaker 8: out strongly and say yes, we're confident in this rate 354 00:17:52,080 --> 00:17:54,880 Speaker 8: cutting cycle. But consumers are starting to get out there 355 00:17:54,920 --> 00:17:57,720 Speaker 8: and buy big ticket items because they're cheaper, not so 356 00:17:57,800 --> 00:18:00,600 Speaker 8: much because interest rates are lower, but as streets ball, 357 00:18:00,680 --> 00:18:03,240 Speaker 8: we think they'll buy more cars and furniture, things that 358 00:18:03,280 --> 00:18:04,200 Speaker 8: they need to finance. 359 00:18:04,560 --> 00:18:06,600 Speaker 2: All right, some pretty solid numbers also know the Conference 360 00:18:06,640 --> 00:18:09,960 Speaker 2: Board Expectations data point came in at eighty nine point one. 361 00:18:10,240 --> 00:18:13,200 Speaker 2: That's versus revised eighty two point eight from last month. 362 00:18:13,240 --> 00:18:16,000 Speaker 2: So also in terms of expectations, better than expected. Dana Peterson, 363 00:18:16,119 --> 00:18:18,560 Speaker 2: thanks so much for joining us. Dana Peterson a chief 364 00:18:18,600 --> 00:18:20,679 Speaker 2: economist at the Conference Board. 365 00:18:22,240 --> 00:18:26,119 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 366 00:18:26,200 --> 00:18:29,720 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 367 00:18:29,760 --> 00:18:32,520 Speaker 1: Auto with the Bloomberg business app. You can also listen 368 00:18:32,640 --> 00:18:35,720 Speaker 1: live on Amazon Alexa from our flagship New York station 369 00:18:36,080 --> 00:18:40,639 Speaker 1: Just Say Alexa playing Bloomberg eleven thirty. 370 00:18:40,480 --> 00:18:42,320 Speaker 2: Jess Meant and sitting in for Alex Steel today, I'm 371 00:18:42,320 --> 00:18:44,679 Speaker 2: Paul Scoeneyer live here in our bloomergen Director Broker Studio. 372 00:18:44,680 --> 00:18:47,720 Speaker 2: We're streaming live on YouTube as well. YouTube dot com 373 00:18:47,760 --> 00:18:50,880 Speaker 2: head there, search Bloomberg Podcast or Bloomberg Live Radio. That's 374 00:18:50,880 --> 00:18:53,439 Speaker 2: where you'll find us. Speaking of YouTube, what would you 375 00:18:53,600 --> 00:18:56,439 Speaker 2: like to hear on Bloomberg Radio? Help make shows like 376 00:18:56,480 --> 00:19:00,480 Speaker 2: ours even better by taking our Bloomberg audience, Sir, visit 377 00:19:00,560 --> 00:19:04,160 Speaker 2: YouTube dot com slash Bloomberg Podcasts and click the link 378 00:19:04,200 --> 00:19:06,879 Speaker 2: in our profile or community sector to take the survey, 379 00:19:06,880 --> 00:19:09,280 Speaker 2: which is host to buy our partners over at material 380 00:19:09,760 --> 00:19:13,879 Speaker 2: Fill it out now at YouTube dot com slash Bloomberg Podcast. 381 00:19:13,960 --> 00:19:15,640 Speaker 2: Our next guest. This is how it's gonna work post. 382 00:19:15,840 --> 00:19:17,719 Speaker 2: I'm gonna ask a question and I'm gonna turn off 383 00:19:17,800 --> 00:19:19,040 Speaker 2: my Mike and John and I are going to sit 384 00:19:19,080 --> 00:19:20,439 Speaker 2: here and listen and try to get a little bit 385 00:19:20,440 --> 00:19:22,840 Speaker 2: smarter and take notes and take notes. Neil Grossman. He's 386 00:19:22,840 --> 00:19:24,920 Speaker 2: a co founder and former CIO of K n G 387 00:19:25,119 --> 00:19:28,119 Speaker 2: Capital joints us here in our Bloomberg Interactive Broker studio. 388 00:19:28,119 --> 00:19:29,560 Speaker 2: We're in a suit today. Can remember last time I 389 00:19:29,600 --> 00:19:30,320 Speaker 2: saw you in a suit? 390 00:19:31,080 --> 00:19:31,359 Speaker 3: Neil. 391 00:19:31,800 --> 00:19:33,600 Speaker 2: We got a lot of economic data, we got right 392 00:19:33,680 --> 00:19:36,040 Speaker 2: smack in the middle of earnings. All that's important. But 393 00:19:36,200 --> 00:19:37,800 Speaker 2: I think since we have you here, I would just 394 00:19:37,840 --> 00:19:40,439 Speaker 2: love to get your opinions about how you think the 395 00:19:40,640 --> 00:19:45,960 Speaker 2: markets are digesting a big, pretty big election next Tuesday. 396 00:19:46,480 --> 00:19:48,960 Speaker 2: Are you when you talk to clients, are you saying, hey, 397 00:19:48,960 --> 00:19:52,439 Speaker 2: if Trump wins, think this, if Harris wins, think that, 398 00:19:52,760 --> 00:19:54,119 Speaker 2: how are you kind of positioning all that? 399 00:19:55,359 --> 00:19:58,000 Speaker 3: Well? I think there's two levels to this. But by 400 00:19:58,000 --> 00:19:59,600 Speaker 3: the way, thank you very much for having me. It's 401 00:19:59,600 --> 00:20:05,000 Speaker 3: a pleasure as always. At least as a start, both 402 00:20:05,040 --> 00:20:08,520 Speaker 3: of the platforms seemed to be talking about spending a 403 00:20:08,520 --> 00:20:12,760 Speaker 3: lot of money. So the first question is what's the 404 00:20:12,800 --> 00:20:16,000 Speaker 3: impact of that on the economy, on the FED? And 405 00:20:16,040 --> 00:20:19,919 Speaker 3: then you can try and maybe zero in on what 406 00:20:20,000 --> 00:20:26,360 Speaker 3: the theoretical differences are between the two. Look, if you look 407 00:20:26,359 --> 00:20:30,160 Speaker 3: at the economy and where we are and where we've been, 408 00:20:31,320 --> 00:20:35,159 Speaker 3: I would look at the July September FED meetings and 409 00:20:35,200 --> 00:20:39,960 Speaker 3: just scratch my head we had functionally two fairly when 410 00:20:40,000 --> 00:20:44,800 Speaker 3: one fairly weak and one moderate job number job numbers 411 00:20:44,840 --> 00:20:47,600 Speaker 3: that propelled the FED to what looked to me like 412 00:20:47,680 --> 00:20:50,280 Speaker 3: they were panicking. And it turned out, of course, with 413 00:20:50,320 --> 00:20:53,600 Speaker 3: the revision, that that really wasn't the case. So I 414 00:20:53,600 --> 00:20:56,320 Speaker 3: think where we find ourselves right now is a couple 415 00:20:56,320 --> 00:21:00,840 Speaker 3: of things. One, the labor market is fine. There are 416 00:21:00,880 --> 00:21:05,240 Speaker 3: going to be some real unusual impacts over the next 417 00:21:06,480 --> 00:21:10,480 Speaker 3: number two because of the Boeing strike and the hurricanes, 418 00:21:10,520 --> 00:21:13,679 Speaker 3: which really affected a pretty significant part of the population. 419 00:21:13,760 --> 00:21:16,720 Speaker 3: And I don't know how to read the employment numbers now, 420 00:21:16,720 --> 00:21:18,280 Speaker 3: but I will tell you this. You know, I think 421 00:21:18,320 --> 00:21:20,000 Speaker 3: you know my daughter lives in Saint Pete. If you 422 00:21:20,040 --> 00:21:22,960 Speaker 3: go down to Saint Petersburg and you drive, and the 423 00:21:23,080 --> 00:21:26,280 Speaker 3: miles and the miles and the miles of people's lives 424 00:21:26,400 --> 00:21:29,119 Speaker 3: have been destroyed but have to be rebuilt. There is 425 00:21:29,160 --> 00:21:31,560 Speaker 3: an enormous amount of money that is going to be 426 00:21:31,600 --> 00:21:33,840 Speaker 3: put to work in this economy. Forget the fact that 427 00:21:33,880 --> 00:21:37,640 Speaker 3: we're running eight or nine percent, you know, deficits, which 428 00:21:37,720 --> 00:21:42,120 Speaker 3: is historically staggering. The biggest question you might ask yourself 429 00:21:42,200 --> 00:21:45,359 Speaker 3: is can they actually address the deficits without having a 430 00:21:45,400 --> 00:21:49,359 Speaker 3: significant economic impact, because to go from a deficit growth 431 00:21:49,440 --> 00:21:51,840 Speaker 3: rate of eight or nine to back to traditional three 432 00:21:51,880 --> 00:21:54,200 Speaker 3: percent probably will be a very difficult task. 433 00:21:54,640 --> 00:21:58,600 Speaker 9: I've heard candidates promising the world, and I don't know 434 00:21:58,600 --> 00:22:00,960 Speaker 9: how they're going to fund it. Liz Trust kind of 435 00:22:01,040 --> 00:22:04,200 Speaker 9: ran into the same problem. Where are the bond vigilantes 436 00:22:04,240 --> 00:22:06,000 Speaker 9: and all this? You're starting to see it a bit. 437 00:22:06,119 --> 00:22:10,040 Speaker 9: Look the yield curve. I mean, I think the last 438 00:22:10,040 --> 00:22:11,800 Speaker 9: time we were on we were talking about yield curve 439 00:22:11,920 --> 00:22:15,720 Speaker 9: structure and it steepened a lot. Yeah, and I suspect 440 00:22:15,760 --> 00:22:17,919 Speaker 9: that the long, long, this is one of the problems 441 00:22:17,920 --> 00:22:20,879 Speaker 9: with the FED did. I mean, there was absolute panic 442 00:22:20,880 --> 00:22:23,320 Speaker 9: in the way they did things. And I mean this 443 00:22:23,400 --> 00:22:27,760 Speaker 9: concept of recalibration to me, it's an awful, laughable world word. 444 00:22:27,800 --> 00:22:30,439 Speaker 9: It's going to be recalibration is going to become the 445 00:22:30,440 --> 00:22:31,360 Speaker 9: new transitory. 446 00:22:33,040 --> 00:22:36,520 Speaker 3: You know. The bottom line is they don't really know 447 00:22:36,600 --> 00:22:39,520 Speaker 3: what a neutral rate is, and they certainly don't know 448 00:22:39,560 --> 00:22:42,560 Speaker 3: what a neutral rate is when we're spending money fiscally 449 00:22:42,200 --> 00:22:47,080 Speaker 3: like its rain. So if they really wanted to try 450 00:22:47,119 --> 00:22:49,560 Speaker 3: and ease in and understand the impact, this would have 451 00:22:49,600 --> 00:22:53,360 Speaker 3: been a very slow, elongated process. Watching in the meantime, 452 00:22:53,359 --> 00:22:57,520 Speaker 3: what happened They not only cut fifty, but they've sort 453 00:22:57,520 --> 00:22:59,440 Speaker 3: of promised that they think you're going to be another 454 00:22:59,440 --> 00:23:02,600 Speaker 3: two hundred points in short order. And the first thing 455 00:23:02,640 --> 00:23:04,760 Speaker 3: that happened, of course, is the yield curves started to 456 00:23:04,800 --> 00:23:07,600 Speaker 3: steepen like this note tomorrow if you really want to 457 00:23:07,600 --> 00:23:10,080 Speaker 3: look at things. To me, you know, we've the FED 458 00:23:10,119 --> 00:23:12,440 Speaker 3: focuses on short rates, but at the end of the day, 459 00:23:12,800 --> 00:23:15,600 Speaker 3: long term interest rates are an indicator and a measure 460 00:23:15,640 --> 00:23:19,359 Speaker 3: of what you should be expecting for long term growth 461 00:23:19,400 --> 00:23:24,479 Speaker 3: and how you manage, you know, the investment and capital 462 00:23:24,520 --> 00:23:28,000 Speaker 3: allocation decisions. And I don't see any reason to think 463 00:23:28,040 --> 00:23:31,480 Speaker 3: that if they keep cutting with liquidity or already its 464 00:23:31,960 --> 00:23:36,200 Speaker 3: just beyond imagination. Stocks at all time highs, very high deficits. 465 00:23:36,240 --> 00:23:39,640 Speaker 3: We're still at relatively low rates of unemployment. A lot 466 00:23:39,640 --> 00:23:42,200 Speaker 3: of the wage settlements have been very large, by the way, 467 00:23:42,200 --> 00:23:44,320 Speaker 3: I mean the last one, which is and we have 468 00:23:44,480 --> 00:23:48,400 Speaker 3: not seen most of the government workers union workers ask 469 00:23:48,720 --> 00:23:50,560 Speaker 3: can you imagine I mean, I think there are twenty 470 00:23:50,600 --> 00:23:53,240 Speaker 3: five million people employed by governments in this country, which 471 00:23:53,280 --> 00:23:56,160 Speaker 3: is about one in six. Can you imagine if these 472 00:23:56,720 --> 00:23:59,280 Speaker 3: if those union workers are going to insist in the 473 00:23:59,280 --> 00:24:05,360 Speaker 3: same nature of wage agreements going forward. I mean, this 474 00:24:05,480 --> 00:24:05,960 Speaker 3: can't be. 475 00:24:05,960 --> 00:24:09,240 Speaker 2: Handled so, but I mean in terms of the deficits 476 00:24:09,240 --> 00:24:11,919 Speaker 2: in the national debt. I started working on Wall Street 477 00:24:11,960 --> 00:24:14,160 Speaker 2: in June of nineteen eighty six. It was an issue. 478 00:24:14,200 --> 00:24:18,080 Speaker 2: Then it's still an issue. 479 00:24:18,640 --> 00:24:20,919 Speaker 9: Debt clock, Yes, it is. 480 00:24:21,680 --> 00:24:23,000 Speaker 3: And do you know what do you know what the 481 00:24:23,080 --> 00:24:27,840 Speaker 3: unfunded liabilities are? Stud of three hundred trillion, which is 482 00:24:27,920 --> 00:24:30,040 Speaker 3: I mean that's dwarfs all the problems. Yes, and part 483 00:24:30,040 --> 00:24:31,920 Speaker 3: of that is Look, social Security is going to run 484 00:24:31,920 --> 00:24:34,480 Speaker 3: out of money trust fund and then that will go 485 00:24:34,600 --> 00:24:35,800 Speaker 3: on to the budget as well. 486 00:24:35,880 --> 00:24:36,320 Speaker 9: So there. 487 00:24:36,640 --> 00:24:39,560 Speaker 3: Look, I don't know if there's time left to solve 488 00:24:39,600 --> 00:24:42,000 Speaker 3: the problems or not. I think I don't think history 489 00:24:42,560 --> 00:24:46,480 Speaker 3: teaches you that you can avoid reality. And our deficits 490 00:24:46,520 --> 00:24:54,800 Speaker 3: relative to the nation's capacity are are certainly put causing 491 00:24:54,840 --> 00:24:57,720 Speaker 3: the seams or may cause the seams to burst. And 492 00:24:58,000 --> 00:25:00,520 Speaker 3: you know, the sooner you deal with a problem, the 493 00:25:00,600 --> 00:25:03,720 Speaker 3: less you usually have to do to solve it, and 494 00:25:03,840 --> 00:25:05,639 Speaker 3: the easier the transit. 495 00:25:05,720 --> 00:25:08,080 Speaker 2: But there's just no political there's never ever ever been 496 00:25:08,119 --> 00:25:09,239 Speaker 2: in political will to do well. 497 00:25:09,240 --> 00:25:11,000 Speaker 3: How do you, Paul, how do you? How do you look? 498 00:25:11,119 --> 00:25:13,200 Speaker 3: I think something on the order of sixty five percent 499 00:25:13,240 --> 00:25:16,280 Speaker 3: of the of the working populations pays no net taxes. 500 00:25:17,080 --> 00:25:19,040 Speaker 2: And since they pay no net taxes. 501 00:25:18,800 --> 00:25:20,800 Speaker 3: Yes, when you look at all the benefits and add 502 00:25:20,840 --> 00:25:24,439 Speaker 3: it all together, how do you tell people? And I 503 00:25:24,480 --> 00:25:26,280 Speaker 3: have this discussion with a lot of people. I mean, 504 00:25:26,440 --> 00:25:29,800 Speaker 3: how do you tell them that they can't they're going 505 00:25:29,840 --> 00:25:32,439 Speaker 3: to lose something. That's a very difficult thing to start with. 506 00:25:32,520 --> 00:25:35,160 Speaker 3: And then you end up with these discussions about well, 507 00:25:35,200 --> 00:25:37,840 Speaker 3: you're social Security and Medicare Medicaid need to be cut 508 00:25:37,920 --> 00:25:39,080 Speaker 3: and they said, well I paid for this, said, well, 509 00:25:39,119 --> 00:25:40,800 Speaker 3: you really didn't pay for it when you look at 510 00:25:41,080 --> 00:25:46,080 Speaker 3: the projections. The problem is you're relying on the future 511 00:25:46,119 --> 00:25:48,400 Speaker 3: to continue to pay for your problem. And I don't 512 00:25:48,440 --> 00:25:51,760 Speaker 3: know the answer to this. I think we've missed opportunity 513 00:25:51,800 --> 00:25:53,400 Speaker 3: after opportunity to address it. 514 00:25:54,160 --> 00:25:56,680 Speaker 2: And you know, and again, as john said, I don't 515 00:25:56,680 --> 00:25:58,159 Speaker 2: hear either candidate talking about that. 516 00:25:58,240 --> 00:26:02,240 Speaker 3: Nobody can directly even their problem. What's his name? McCarthy 517 00:26:02,280 --> 00:26:06,280 Speaker 3: and Mike Johnson, both of them, when asked every time 518 00:26:06,320 --> 00:26:08,520 Speaker 3: they sit down to negotiate, the first thing they say, 519 00:26:08,560 --> 00:26:13,160 Speaker 3: or entitlements are sacricient, they won't be touched that's functionally 520 00:26:13,280 --> 00:26:17,360 Speaker 3: I think. I think the actual number is we historically 521 00:26:17,480 --> 00:26:20,520 Speaker 3: take in eighteen percent of GDP and traditionally spend twenty 522 00:26:20,560 --> 00:26:23,840 Speaker 3: one percent. And by the way, that eighteen percent is 523 00:26:25,920 --> 00:26:30,119 Speaker 3: consistent across almost every tax regimen we've ever seen. But 524 00:26:30,160 --> 00:26:33,240 Speaker 3: if you went back twenty years ago, one third of 525 00:26:33,280 --> 00:26:37,920 Speaker 3: government spending of that eighteen percent was entitlements. We're beginning 526 00:26:37,920 --> 00:26:39,800 Speaker 3: to push. I think we're very close to where almost 527 00:26:39,880 --> 00:26:43,119 Speaker 3: every dollar coming into the government is going out in 528 00:26:43,160 --> 00:26:46,399 Speaker 3: the form of entitlements, and we're not. You know, so 529 00:26:46,480 --> 00:26:49,920 Speaker 3: the extra eight or nine percent or above that or 530 00:26:50,040 --> 00:26:52,320 Speaker 3: you know, actually, I guess it's about nine percent of 531 00:26:52,520 --> 00:26:57,159 Speaker 3: incremental spending is all deficit funded, and it's going to 532 00:26:57,200 --> 00:26:59,040 Speaker 3: get to be it's going to be a very painful. 533 00:27:00,040 --> 00:27:03,840 Speaker 9: There was a time where you had bipartisan kind of consensus, 534 00:27:03,880 --> 00:27:08,080 Speaker 9: like a committee Simpson bulls the balls, But I suspect 535 00:27:08,119 --> 00:27:10,720 Speaker 9: that environment is long gone though. 536 00:27:10,800 --> 00:27:13,920 Speaker 3: What was Phil Graham's partner's name, and the same thing, Graham. 537 00:27:13,880 --> 00:27:18,119 Speaker 9: Graham, the same thing, you know. 538 00:27:18,160 --> 00:27:19,840 Speaker 3: That's the way. I mean, it's sort of kick it 539 00:27:19,880 --> 00:27:22,359 Speaker 3: down and put it to it some sort of you know, 540 00:27:22,480 --> 00:27:26,080 Speaker 3: under the counter committee and hopefully you listen. 541 00:27:26,119 --> 00:27:27,080 Speaker 9: But again it doesn't. 542 00:27:27,119 --> 00:27:27,560 Speaker 3: It doesn't. 543 00:27:27,840 --> 00:27:30,720 Speaker 2: Given that dire what do you do in the financing world? 544 00:27:30,720 --> 00:27:33,000 Speaker 2: What do you do in the economic the investing world? 545 00:27:33,520 --> 00:27:34,159 Speaker 2: How do you think about it? 546 00:27:34,280 --> 00:27:37,919 Speaker 3: Field curve number one. I believe if the FED is 547 00:27:37,960 --> 00:27:40,120 Speaker 3: going to continue easing, the long end of the Yeld 548 00:27:40,200 --> 00:27:43,920 Speaker 3: curve is going to be under pressure. How high it goes, 549 00:27:44,280 --> 00:27:47,040 Speaker 3: that's up to that will be a function of inflation. 550 00:27:47,080 --> 00:27:49,080 Speaker 3: I do think you're going to start to see inflation 551 00:27:49,160 --> 00:27:51,040 Speaker 3: in ways you don't want to want to. For example, 552 00:27:51,160 --> 00:27:54,360 Speaker 3: again the Southeastern issue, used cart prices are already being 553 00:27:54,359 --> 00:27:59,040 Speaker 3: pushed very high down there, cost of construction materials going high, 554 00:27:59,080 --> 00:28:02,000 Speaker 3: Probably labor calls are going up in those ways. So 555 00:28:02,080 --> 00:28:04,960 Speaker 3: some of the broader pictures. That's not the whole United States, obviously, 556 00:28:05,000 --> 00:28:07,760 Speaker 3: but there is likely to be cost of housing, by 557 00:28:07,800 --> 00:28:10,480 Speaker 3: the way. So I think that there is a lot 558 00:28:10,480 --> 00:28:14,640 Speaker 3: of risks that you are going to see higher inflation 559 00:28:14,800 --> 00:28:18,000 Speaker 3: numbers over the next six to eighteen months just from that. Now, 560 00:28:18,440 --> 00:28:19,639 Speaker 3: was that going to be from a two and a 561 00:28:19,680 --> 00:28:21,600 Speaker 3: quarter in two and a half or is it going 562 00:28:21,600 --> 00:28:23,359 Speaker 3: to be from a three or is it two? I 563 00:28:23,440 --> 00:28:27,359 Speaker 3: don't know, but I suspect that the progress towards lower 564 00:28:27,359 --> 00:28:31,320 Speaker 3: inflation is going to find itself struggling for the moment. 565 00:28:31,520 --> 00:28:34,200 Speaker 2: So what does the Fed do November seventh, here, two 566 00:28:34,280 --> 00:28:37,639 Speaker 2: days after the election. We probably won't know, you know, 567 00:28:37,640 --> 00:28:38,200 Speaker 2: who's the one. 568 00:28:38,280 --> 00:28:41,200 Speaker 3: I suspect they have more room to say, look things 569 00:28:41,240 --> 00:28:44,040 Speaker 3: of the data since we talked about this has been 570 00:28:44,320 --> 00:28:47,640 Speaker 3: well above expectations. We'll see what the employment problem is. 571 00:28:47,680 --> 00:28:50,560 Speaker 3: The employment data could be really weak, and so they 572 00:28:50,600 --> 00:28:53,200 Speaker 3: could take say, look that number is really bad, or 573 00:28:53,200 --> 00:28:57,480 Speaker 3: they could say that number is sort of distorted by 574 00:28:57,560 --> 00:29:01,160 Speaker 3: factors beyond our control. My suspicion is as supposed to 575 00:29:01,200 --> 00:29:06,120 Speaker 3: say that unless you see an inflation rate drop to 576 00:29:06,240 --> 00:29:09,160 Speaker 3: two percent or below, and that includes a core rate 577 00:29:09,480 --> 00:29:11,719 Speaker 3: which is still above three, that say, drops the two 578 00:29:11,880 --> 00:29:14,480 Speaker 3: six all of a sudden. I think they're supposed to say, 579 00:29:14,880 --> 00:29:18,160 Speaker 3: we need to you know, we've already had a significant impact, 580 00:29:18,680 --> 00:29:22,240 Speaker 3: and other things being equal, we have time to take 581 00:29:22,320 --> 00:29:24,720 Speaker 3: our take our time. I don't know if they feel 582 00:29:24,760 --> 00:29:26,880 Speaker 3: that they can do that, because I think there are 583 00:29:27,320 --> 00:29:29,600 Speaker 3: things like stock markets that they worry about more than 584 00:29:29,640 --> 00:29:30,400 Speaker 3: other things. 585 00:29:30,240 --> 00:29:31,760 Speaker 2: And they kind of it's almost like they did set 586 00:29:31,760 --> 00:29:32,880 Speaker 2: the expectations for it. 587 00:29:33,560 --> 00:29:34,280 Speaker 9: But that's the problem. 588 00:29:34,320 --> 00:29:36,280 Speaker 3: They shouldn't be setting an expect when they tell you 589 00:29:36,320 --> 00:29:39,959 Speaker 3: the data dependent, I guess that's you can laugh about it. 590 00:29:40,000 --> 00:29:42,400 Speaker 3: But when they tell you the data the dependent and 591 00:29:42,440 --> 00:29:46,720 Speaker 3: the data is up in opposition to what they thought 592 00:29:46,720 --> 00:29:49,400 Speaker 3: it was going to be, that they're supposed to, you know, 593 00:29:49,880 --> 00:29:52,479 Speaker 3: take a step back and try and understand what they 594 00:29:52,480 --> 00:29:54,880 Speaker 3: were doing. So I don't know what they do, but 595 00:29:55,160 --> 00:29:58,480 Speaker 3: I suspect given all the current data that nine months 596 00:29:58,480 --> 00:30:00,960 Speaker 3: from now, whatever you thought there, we're going to be 597 00:30:01,040 --> 00:30:03,600 Speaker 3: in the absence of a significant change. They're going to 598 00:30:03,640 --> 00:30:05,520 Speaker 3: be harder than what you thought at the front end, 599 00:30:05,720 --> 00:30:07,120 Speaker 3: and they're going to be harder than what your thought 600 00:30:07,160 --> 00:30:07,800 Speaker 3: at the back end. 601 00:30:07,840 --> 00:30:10,480 Speaker 2: All right, Neil, great stuff, as always Neil Grossman. He's 602 00:30:10,480 --> 00:30:12,440 Speaker 2: the co founder and he's a former CIO of k 603 00:30:12,800 --> 00:30:15,320 Speaker 2: n G Capital. Coming into our Bloomberg Interactive Brokers studio. 604 00:30:15,400 --> 00:30:17,840 Speaker 2: Just give us some thoughts here as we parse out 605 00:30:18,320 --> 00:30:19,000 Speaker 2: this market. 606 00:30:20,520 --> 00:30:24,400 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 607 00:30:24,480 --> 00:30:27,960 Speaker 1: weekdays at ten am Eastern on applecard Play and Android 608 00:30:28,000 --> 00:30:30,800 Speaker 1: Auto with the Bloomberg Business app. You can also listen 609 00:30:30,920 --> 00:30:34,000 Speaker 1: live on Amazon Alexa from our flagship New York station. 610 00:30:34,360 --> 00:30:37,120 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 611 00:30:38,240 --> 00:30:40,600 Speaker 2: Let's look at crude oil here. We've had a kind 612 00:30:40,600 --> 00:30:42,880 Speaker 2: of a de risking of crude oil in the last 613 00:30:43,360 --> 00:30:46,080 Speaker 2: week or so, I guess on the backs of Israel's 614 00:30:46,560 --> 00:30:50,080 Speaker 2: retaliation against around was a little bit less than expected, 615 00:30:50,080 --> 00:30:52,120 Speaker 2: maybe dialing down the tensions a little bit there. But 616 00:30:52,600 --> 00:30:54,680 Speaker 2: whenever we talk about global oil, we want to talk 617 00:30:54,680 --> 00:30:58,200 Speaker 2: to Ellen Wald. She's a president of Transversal Consulting. Ellen, 618 00:30:58,280 --> 00:31:00,080 Speaker 2: what do you make of kind of what's happening the 619 00:31:00,080 --> 00:31:03,040 Speaker 2: global crude oil prices here? Is it's simply kind of 620 00:31:03,080 --> 00:31:06,080 Speaker 2: taking maybe a little bit of that geopolitical risk out 621 00:31:06,120 --> 00:31:07,480 Speaker 2: of the price of oil. 622 00:31:08,480 --> 00:31:12,320 Speaker 10: Yeah, that's what I think we're seeing. At least yesterday 623 00:31:13,200 --> 00:31:16,440 Speaker 10: was quite the day for de risking. I think it's 624 00:31:17,080 --> 00:31:21,400 Speaker 10: Israel really made a very concerted effort to let people 625 00:31:21,920 --> 00:31:26,280 Speaker 10: believe that they were about to attack Iran's oil production 626 00:31:26,400 --> 00:31:30,560 Speaker 10: and export infrastructure, and it seemed that the market was 627 00:31:31,080 --> 00:31:34,080 Speaker 10: really taken with this, and there was definitely. 628 00:31:33,560 --> 00:31:35,600 Speaker 11: A lot of talk about, you. 629 00:31:35,520 --> 00:31:38,040 Speaker 10: Know, Israel potentially doing this and the effect it might 630 00:31:38,080 --> 00:31:40,760 Speaker 10: have on the market. And so I think that now 631 00:31:40,840 --> 00:31:44,320 Speaker 10: that that risk seems to have passed or at least 632 00:31:44,320 --> 00:31:48,240 Speaker 10: been postponed for a while. We're seeing oil prices really 633 00:31:48,320 --> 00:31:49,440 Speaker 10: come down as a result. 634 00:31:49,680 --> 00:31:52,880 Speaker 11: I do think that that fear was totally misplaced. 635 00:31:52,920 --> 00:31:55,880 Speaker 10: I think Israel cultivated an image that it was going 636 00:31:55,920 --> 00:31:58,880 Speaker 10: to do this, even though the likelihood that they would 637 00:31:58,920 --> 00:32:01,760 Speaker 10: do that was actually quite small. Also for people who 638 00:32:01,800 --> 00:32:04,120 Speaker 10: didn't actually think that that this was going to happen, 639 00:32:04,560 --> 00:32:07,000 Speaker 10: there was definitely the possibility to kind of ride this 640 00:32:07,120 --> 00:32:10,520 Speaker 10: in in an interesting way. But now that we're past 641 00:32:10,640 --> 00:32:14,640 Speaker 10: this you know, kind of hump at least right now, Uh, 642 00:32:14,680 --> 00:32:18,480 Speaker 10: there's more of an opportunity for the supply and demand 643 00:32:18,560 --> 00:32:21,040 Speaker 10: issues to you know, to come to the forefront. 644 00:32:21,080 --> 00:32:22,960 Speaker 11: And I think that's what we're seeing in oil prices now. 645 00:32:23,120 --> 00:32:25,840 Speaker 6: I'm glad you brought up supply because walk us through 646 00:32:26,000 --> 00:32:28,520 Speaker 6: how oil traders are really split right now and whether 647 00:32:28,560 --> 00:32:30,760 Speaker 6: OPEC will hike supply in December. 648 00:32:31,840 --> 00:32:34,560 Speaker 10: Yeah, this is I think the really big issue that 649 00:32:35,360 --> 00:32:38,280 Speaker 10: you know, oil traders are looking at now because OPEK 650 00:32:38,320 --> 00:32:41,040 Speaker 10: has already you know, pushed its plans off once they 651 00:32:41,080 --> 00:32:44,080 Speaker 10: made they set up this, this whole plan for these 652 00:32:44,200 --> 00:32:47,760 Speaker 10: very gradual increases, they set it up, they announced it. 653 00:32:47,800 --> 00:32:50,360 Speaker 11: They've given the market ample time to get. 654 00:32:50,240 --> 00:32:52,640 Speaker 10: Used to this, and yet we're still seeing it being 655 00:32:52,640 --> 00:32:56,280 Speaker 10: pushed off and pushed off. Initially, OPEC's forecasters had a 656 00:32:56,400 --> 00:33:00,560 Speaker 10: much much more optimistic picture for what demand was going 657 00:33:00,640 --> 00:33:02,600 Speaker 10: to look like this year. I think then other people 658 00:33:02,600 --> 00:33:05,840 Speaker 10: did and they've really had to trim that forecast for 659 00:33:05,840 --> 00:33:08,480 Speaker 10: for demand growth back. And so as a result, the 660 00:33:08,560 --> 00:33:12,400 Speaker 10: group has pushed off its planned to increase production and 661 00:33:12,440 --> 00:33:15,000 Speaker 10: to implement this kind of gradual plan. They already pushed 662 00:33:15,000 --> 00:33:18,480 Speaker 10: it off, but they're set to start doing this December January, 663 00:33:18,560 --> 00:33:20,920 Speaker 10: and so, you know, the big question is now that 664 00:33:21,240 --> 00:33:23,880 Speaker 10: demand is looking pretty weak. You know, we're still waiting 665 00:33:23,920 --> 00:33:24,600 Speaker 10: to see what's. 666 00:33:24,440 --> 00:33:26,280 Speaker 11: Going on with China. 667 00:33:26,720 --> 00:33:30,080 Speaker 10: Is the group going to you know, make another another 668 00:33:30,240 --> 00:33:32,880 Speaker 10: push it off again? And I think that's a really 669 00:33:32,880 --> 00:33:35,000 Speaker 10: big question. There definitely seems to be a split. I 670 00:33:35,040 --> 00:33:39,280 Speaker 10: think OPEK itself doesn't know. They did recently issue a revision, 671 00:33:39,280 --> 00:33:41,479 Speaker 10: a downward revision in their forecast, which could be an 672 00:33:41,480 --> 00:33:46,200 Speaker 10: indication that they're setting things up for another uh, you know, 673 00:33:46,280 --> 00:33:48,880 Speaker 10: another uh to push it off again when they meet 674 00:33:48,920 --> 00:33:51,520 Speaker 10: in December, but you know, no one really knows. 675 00:33:52,080 --> 00:33:55,120 Speaker 2: So Ellen, you mentioned China, What is the feeling about 676 00:33:55,200 --> 00:33:58,480 Speaker 2: demand coming out of China here, it's I guess in 677 00:33:58,480 --> 00:34:00,520 Speaker 2: the margin it's been weaker than expected. Is that something 678 00:34:00,560 --> 00:34:03,240 Speaker 2: that the market things could go into next year. 679 00:34:04,960 --> 00:34:06,240 Speaker 11: I think it is at this point. 680 00:34:06,560 --> 00:34:09,440 Speaker 10: It's very interesting because there's definitely a lot of skepticism 681 00:34:09,560 --> 00:34:10,919 Speaker 10: about demand. 682 00:34:10,600 --> 00:34:11,600 Speaker 11: At China where it's going. 683 00:34:11,760 --> 00:34:15,160 Speaker 10: What this stimulus plan that they've been talking about, is 684 00:34:15,160 --> 00:34:19,239 Speaker 10: that really going to actually result in higher demand? Is 685 00:34:19,239 --> 00:34:22,400 Speaker 10: that really going to provide the kind of economic stimulus 686 00:34:22,480 --> 00:34:26,920 Speaker 10: that is needed to really, you know, push oil demand higher. 687 00:34:27,000 --> 00:34:29,080 Speaker 10: I think that there's a lot of skepticism about that. 688 00:34:29,280 --> 00:34:32,880 Speaker 10: What's interesting, though, is that the CEO of a Ramco 689 00:34:33,239 --> 00:34:37,760 Speaker 10: recently spoken he's much more optimistic about demand from China. 690 00:34:38,280 --> 00:34:40,840 Speaker 11: I think that that may impart come from. 691 00:34:40,680 --> 00:34:44,600 Speaker 10: The fact that he's very much focused on crude oil 692 00:34:44,680 --> 00:34:48,680 Speaker 10: products and petrochemicals as opposed to just straight crude oil demand. 693 00:34:48,680 --> 00:34:51,560 Speaker 11: The market has been very focused on. 694 00:34:51,280 --> 00:34:55,040 Speaker 10: The diesel the distillate demand in China, which has been 695 00:34:55,960 --> 00:34:59,960 Speaker 10: rather rather disappointing, whereas I think he's much more focused 696 00:35:00,200 --> 00:35:03,560 Speaker 10: on the petrochemical demand, which he sees as growing as 697 00:35:03,560 --> 00:35:06,480 Speaker 10: opposed to just straight crude oil. Which is why there's 698 00:35:06,560 --> 00:35:09,800 Speaker 10: kind of disconnect between what a Ramco sees for China 699 00:35:09,800 --> 00:35:13,720 Speaker 10: and maybe what other forecasters are are looking at for China. 700 00:35:13,120 --> 00:35:15,640 Speaker 6: As you know, especially when it comes to looking what 701 00:35:15,960 --> 00:35:18,840 Speaker 6: oil could mean for the trajectory of the global economy. 702 00:35:18,880 --> 00:35:20,640 Speaker 6: I mean, just looking right now, the Atlanta fed GP 703 00:35:20,760 --> 00:35:23,440 Speaker 6: model just got updated. It's actually for the third quarter 704 00:35:23,520 --> 00:35:26,000 Speaker 6: to two point eight percent, revised slightly lower from three 705 00:35:26,040 --> 00:35:30,160 Speaker 6: point three percent recently as well, but still nonetheless it's 706 00:35:30,160 --> 00:35:32,759 Speaker 6: been trending higher over the past month as we get 707 00:35:32,760 --> 00:35:34,840 Speaker 6: more of the third quarter data coming in here. But 708 00:35:34,880 --> 00:35:36,840 Speaker 6: when it comes to OPEC and if whether or not 709 00:35:36,880 --> 00:35:39,080 Speaker 6: they push again off those plan increases, what do you 710 00:35:39,080 --> 00:35:41,000 Speaker 6: think that could translate when we're looking kind of more 711 00:35:41,040 --> 00:35:43,080 Speaker 6: globally and especially US economic growth. 712 00:35:44,239 --> 00:35:44,920 Speaker 11: Yeah, I think. 713 00:35:44,800 --> 00:35:47,440 Speaker 10: It's it's really a big question right now. You know, 714 00:35:48,200 --> 00:35:50,160 Speaker 10: I don't think that you can't say, you know, it's 715 00:35:50,160 --> 00:35:52,960 Speaker 10: not bad economic growth. We're not you know, we're not 716 00:35:53,040 --> 00:35:56,280 Speaker 10: in a depression. We're not we're not seeing things go backwards. 717 00:35:56,360 --> 00:35:58,480 Speaker 10: But it's just not the kind of growth numbers that 718 00:35:58,760 --> 00:36:00,800 Speaker 10: we were expecting, or they that a lot of people 719 00:36:00,840 --> 00:36:04,240 Speaker 10: were expecting to happen. I do think, you know, growth 720 00:36:04,360 --> 00:36:08,239 Speaker 10: is cyclical, you know, there are these cycles and you know, 721 00:36:08,280 --> 00:36:10,239 Speaker 10: it's not like this is, you know, kind of the 722 00:36:10,880 --> 00:36:13,160 Speaker 10: end or anything like that. There's still a lot of 723 00:36:13,200 --> 00:36:16,080 Speaker 10: opportunity for growth out there. I do think it, you know, 724 00:36:16,160 --> 00:36:19,360 Speaker 10: depends on where you're looking, what indicators are looking at. 725 00:36:19,960 --> 00:36:24,160 Speaker 10: Different sectors, you know, are experiencing different different issues right now. 726 00:36:24,280 --> 00:36:27,359 Speaker 10: When it comes to crude oil, I do think that 727 00:36:27,440 --> 00:36:31,680 Speaker 10: we are seeing a big shift to increased petrochemical production 728 00:36:32,280 --> 00:36:34,240 Speaker 10: and and so there's a lot. 729 00:36:34,120 --> 00:36:36,440 Speaker 11: More crew that's going to that, and also. 730 00:36:36,239 --> 00:36:38,759 Speaker 10: A lot more natural gas feedstuck that's going to that 731 00:36:38,760 --> 00:36:41,879 Speaker 10: as opposed to just straight crude for transportation fuels. And 732 00:36:42,000 --> 00:36:45,200 Speaker 10: so I do think that that we're seeing this as 733 00:36:45,239 --> 00:36:47,279 Speaker 10: a shift and a change in the market, and so 734 00:36:47,800 --> 00:36:50,359 Speaker 10: we need to maybe look at the numbers a little 735 00:36:50,360 --> 00:36:53,120 Speaker 10: bit differently than how we were looking at them previously. 736 00:36:54,360 --> 00:36:58,080 Speaker 2: Ellen, how's the US or the North American oil producer 737 00:36:58,560 --> 00:37:03,480 Speaker 2: behaving these days, mournering? Are they are they supportive of 738 00:37:03,520 --> 00:37:06,000 Speaker 2: the market or are they, you know, drill baby, Drill's 739 00:37:06,080 --> 00:37:08,800 Speaker 2: what's going on with the North American supply source. 740 00:37:09,960 --> 00:37:12,239 Speaker 10: That's a really good question, especially because there's a lot 741 00:37:12,280 --> 00:37:15,960 Speaker 10: of speculation about kind of the fracking industry starting to 742 00:37:16,000 --> 00:37:18,400 Speaker 10: fall off, the production is gonna you know, start to 743 00:37:18,440 --> 00:37:21,000 Speaker 10: decline or at least a second grow. We're really at 744 00:37:21,040 --> 00:37:23,280 Speaker 10: a high point right now. I mean we're we're having 745 00:37:23,440 --> 00:37:26,480 Speaker 10: massive amounts of production. The US is the largest producer 746 00:37:26,760 --> 00:37:28,960 Speaker 10: in the world. You know, the question is can it 747 00:37:29,040 --> 00:37:31,560 Speaker 10: go higher or should it go higher? 748 00:37:31,600 --> 00:37:34,120 Speaker 11: And I think that US crew. 749 00:37:33,920 --> 00:37:35,960 Speaker 10: To oil producers are at a very different position now 750 00:37:36,000 --> 00:37:38,719 Speaker 10: than they were two years ago, three years ago, five 751 00:37:38,760 --> 00:37:42,480 Speaker 10: years ago, certainly, And so there's a lot less emphasis 752 00:37:42,560 --> 00:37:44,239 Speaker 10: on you know, we need to drill, baby drill. 753 00:37:44,719 --> 00:37:46,080 Speaker 11: We don't need to drill, baby drill. 754 00:37:46,520 --> 00:37:51,279 Speaker 10: We've got much more complicated production techniques that can get 755 00:37:51,280 --> 00:37:53,279 Speaker 10: a lot more out of every well. So there isn't 756 00:37:53,320 --> 00:37:55,760 Speaker 10: a need to necessarily drill new wells all the time 757 00:37:56,480 --> 00:37:59,120 Speaker 10: in order to produce those barrels. And I think that 758 00:37:59,200 --> 00:38:02,360 Speaker 10: because of the map amount of consolidation that we've seen, 759 00:38:03,040 --> 00:38:05,960 Speaker 10: they can be a lot more strategic about it. And so, no, 760 00:38:06,160 --> 00:38:07,960 Speaker 10: that doesn't mean the US oil entry is abst to 761 00:38:07,960 --> 00:38:10,440 Speaker 10: follow a cliff, but it does mean that they are 762 00:38:10,520 --> 00:38:14,640 Speaker 10: making more strategic decisions about production and how production is 763 00:38:14,680 --> 00:38:17,080 Speaker 10: going to come online, when it's going to come online, 764 00:38:17,120 --> 00:38:21,640 Speaker 10: whether it's worthwhile and that can maybe look like fewer 765 00:38:21,680 --> 00:38:25,160 Speaker 10: wells being drilled, but it doesn't necessarily mean that, you know, 766 00:38:25,160 --> 00:38:26,920 Speaker 10: we're about to hit a cliff and production's going to 767 00:38:27,040 --> 00:38:28,239 Speaker 10: necessarily decline. 768 00:38:28,440 --> 00:38:28,680 Speaker 5: Hail. 769 00:38:28,840 --> 00:38:31,279 Speaker 6: Whenever you're talking with oil traders, what are some of 770 00:38:31,360 --> 00:38:33,560 Speaker 6: the key sort of technical levels they're looking at, whether 771 00:38:33,600 --> 00:38:36,600 Speaker 6: it's a WTI or brint well. 772 00:38:36,640 --> 00:38:39,360 Speaker 10: I think that there's a lot of discussion about, you know, okay, 773 00:38:39,360 --> 00:38:42,399 Speaker 10: what's the point that wt t I has to hit 774 00:38:42,440 --> 00:38:44,200 Speaker 10: when it's going down in order for the US to 775 00:38:44,200 --> 00:38:47,680 Speaker 10: start buying barrels to refill the SPR, because that has 776 00:38:47,680 --> 00:38:52,360 Speaker 10: definitely resulted in some you know, increasing in the price today. 777 00:38:52,480 --> 00:38:54,640 Speaker 10: Just today the US said, oh we'd like to you know, 778 00:38:55,040 --> 00:38:57,080 Speaker 10: we're thinking about buying some more oil for the SPR, 779 00:38:57,200 --> 00:38:58,239 Speaker 10: and the prices go up. 780 00:38:58,520 --> 00:38:59,680 Speaker 11: So there's there's. 781 00:38:59,560 --> 00:39:02,160 Speaker 10: Certain it's there. I do think also that there's this 782 00:39:02,239 --> 00:39:05,560 Speaker 10: indicator for Opek. You know, Opek wants you know, ex 783 00:39:05,640 --> 00:39:07,359 Speaker 10: price per barrel and they're going to do whatever they 784 00:39:07,360 --> 00:39:07,759 Speaker 10: have to do. 785 00:39:07,760 --> 00:39:08,160 Speaker 11: To get it. 786 00:39:08,360 --> 00:39:12,000 Speaker 10: I think that that's that's not necessarily the case. 787 00:39:12,440 --> 00:39:15,000 Speaker 11: I do think that Opek and certainly Saudi Arabia would 788 00:39:15,040 --> 00:39:17,360 Speaker 11: love to keep Brent around eighty dollars a barrel. 789 00:39:17,400 --> 00:39:20,000 Speaker 10: But I do think they realized that they may not 790 00:39:20,080 --> 00:39:22,200 Speaker 10: get that, and they're willing to work with, you know, 791 00:39:22,239 --> 00:39:24,840 Speaker 10: within the confines of what they can. But there's certainly 792 00:39:24,840 --> 00:39:28,280 Speaker 10: this idea that they'd like it to be a bit higher. 793 00:39:28,320 --> 00:39:31,440 Speaker 10: They'd like it to be more closer to eighty than seventy. 794 00:39:32,400 --> 00:39:34,360 Speaker 2: Ellen, thank you so much for joining us. Really appreciate it, 795 00:39:34,360 --> 00:39:37,040 Speaker 2: Ellen Waller. She is the president of Transversal Consulting and 796 00:39:37,080 --> 00:39:40,279 Speaker 2: a Senior Fellow at the Atlanta Council. Joining us via 797 00:39:40,480 --> 00:39:41,840 Speaker 2: zoom talking about global oil. 798 00:39:43,400 --> 00:39:47,280 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 799 00:39:47,360 --> 00:39:50,520 Speaker 1: weekdays at ten am Eastern on applecard. 800 00:39:49,920 --> 00:39:52,440 Speaker 5: Play and Androyd Auto with the Bloomberg Business. 801 00:39:52,800 --> 00:39:55,640 Speaker 1: You can also listen live on Amazon Alexa from our 802 00:39:55,680 --> 00:40:01,680 Speaker 1: flagship New York station, Just say Alexa play Bloomberg eleven thirty. 803 00:40:01,719 --> 00:40:03,960 Speaker 2: This is a story I've been wanting to read for 804 00:40:04,000 --> 00:40:06,560 Speaker 2: the longest time. In chess. Men's here sitting in fra 805 00:40:06,560 --> 00:40:10,280 Speaker 2: Alex Steel and Paul Sweeney, Triple A bonds go bust 806 00:40:10,320 --> 00:40:13,600 Speaker 2: and revealed depths of US office market crash. This is 807 00:40:13,640 --> 00:40:14,680 Speaker 2: exactly what I've been waiting for. 808 00:40:15,040 --> 00:40:16,960 Speaker 6: We're all about the office. 809 00:40:17,800 --> 00:40:19,880 Speaker 2: Yeah, and I just looked down Third Avenue and I 810 00:40:19,880 --> 00:40:24,160 Speaker 2: say empty, empty, empty, half empty. Somebody owns the mortgages 811 00:40:24,160 --> 00:40:26,360 Speaker 2: on those things. Yeah, it's gonna have to come home 812 00:40:26,560 --> 00:40:28,959 Speaker 2: to roost at some point. Carmen Arroyo and her team 813 00:40:29,239 --> 00:40:31,560 Speaker 2: at Bloomberg News. She's a credit reporter for Bloomberg News. 814 00:40:31,600 --> 00:40:33,960 Speaker 2: They have this story out here today, Karmer, what are 815 00:40:33,960 --> 00:40:37,760 Speaker 2: you finding on some of these bonds that were triple 816 00:40:37,800 --> 00:40:40,919 Speaker 2: A rated, which means I don't have any real risk here? 817 00:40:41,000 --> 00:40:43,640 Speaker 2: What's happening to some of these real estate backed bonds 818 00:40:43,640 --> 00:40:44,640 Speaker 2: that were triple A rated? 819 00:40:45,080 --> 00:40:48,920 Speaker 12: Sure? So in May we saw the first triple A 820 00:40:49,040 --> 00:40:53,239 Speaker 12: bond commercial mortgage, triple A bond being hit backed by 821 00:40:53,280 --> 00:40:56,320 Speaker 12: a single office property, and then we started like digging 822 00:40:56,360 --> 00:40:58,839 Speaker 12: into basically the data to see what other buildings could 823 00:40:58,840 --> 00:41:02,719 Speaker 12: get hit. And the results there's a few a ton 824 00:41:02,800 --> 00:41:05,320 Speaker 12: of Like the office properties across across the US have 825 00:41:05,400 --> 00:41:09,520 Speaker 12: been distressed for years. It just takes a long time 826 00:41:09,520 --> 00:41:12,000 Speaker 12: for that to reach bond holders, and now it's starting 827 00:41:12,040 --> 00:41:15,120 Speaker 12: to get there. So we kind of like analyze the data. 828 00:41:15,200 --> 00:41:18,399 Speaker 12: We saw at least like twelve other buildings are said 829 00:41:18,400 --> 00:41:20,840 Speaker 12: to have some type of loss some will be at 830 00:41:20,840 --> 00:41:23,960 Speaker 12: the TRIPLEA level, some will be just the investment grade portion. 831 00:41:24,840 --> 00:41:26,479 Speaker 12: There's definitely a lot of more pain to come. 832 00:41:26,800 --> 00:41:29,520 Speaker 6: Which regions across the US are most vulnerable. 833 00:41:30,320 --> 00:41:33,080 Speaker 12: It's all over, It's all over the US. Actually we 834 00:41:33,120 --> 00:41:35,600 Speaker 12: saw there's buildings in New York, of course, Chicago, La 835 00:41:35,640 --> 00:41:38,680 Speaker 12: San Francisco, but there's also buildings in Kansas City. Like 836 00:41:38,719 --> 00:41:40,000 Speaker 12: it's it's kind of everywhere. 837 00:41:41,080 --> 00:41:44,600 Speaker 2: But if I'm holding a triple A bond, I expect 838 00:41:44,640 --> 00:41:48,280 Speaker 2: to get paid back here. So what's happening to these bonds? 839 00:41:48,280 --> 00:41:50,919 Speaker 2: Are they coming up for maturity and then the owner 840 00:41:50,920 --> 00:41:53,600 Speaker 2: has to refinance the bond or house this soft playing out? 841 00:41:54,000 --> 00:41:56,840 Speaker 12: Sure, so every triple A bone holder thinks they're going 842 00:41:56,880 --> 00:41:59,440 Speaker 12: to get paid back. Actually that's why you buy it. 843 00:41:59,480 --> 00:42:02,920 Speaker 12: But they, like a lot of these buildings have not 844 00:42:03,040 --> 00:42:06,040 Speaker 12: been receiving interest on the bonds for a while, and 845 00:42:06,120 --> 00:42:09,040 Speaker 12: the minute like the presoul's drop and kind of like 846 00:42:09,080 --> 00:42:11,000 Speaker 12: the owners of the buildings get rid of them or 847 00:42:11,080 --> 00:42:17,200 Speaker 12: like sell them. The losses are realized, and the gist 848 00:42:17,200 --> 00:42:19,319 Speaker 12: of it is that the buildings are worth like a 849 00:42:19,440 --> 00:42:21,640 Speaker 12: fraction of what they were worth like a few years ago. 850 00:42:21,680 --> 00:42:23,880 Speaker 12: So there's just not enough money to pay back everyone, 851 00:42:24,600 --> 00:42:26,640 Speaker 12: not even the Triple A holders, and that that's the 852 00:42:26,680 --> 00:42:29,439 Speaker 12: whole issue, Like the real estate is just not worth it. 853 00:42:29,520 --> 00:42:32,040 Speaker 6: When you're speaking to triple A bondholders, what are they 854 00:42:32,040 --> 00:42:34,120 Speaker 6: telling you as far as why they might still be 855 00:42:34,120 --> 00:42:36,600 Speaker 6: holding onto that and what's the risk reward. 856 00:42:37,480 --> 00:42:40,359 Speaker 12: I A lot of the Triple A bondholders will get 857 00:42:40,400 --> 00:42:45,160 Speaker 12: some money back, like the lower trenches won't. And I'm 858 00:42:45,200 --> 00:42:47,759 Speaker 12: not sure if there's some market for that type of 859 00:42:47,840 --> 00:42:50,279 Speaker 12: like those type of bonds at the bit they may 860 00:42:50,320 --> 00:42:51,080 Speaker 12: want them. 861 00:42:51,520 --> 00:42:53,040 Speaker 2: And I'm looking at I mean, you have a big 862 00:42:53,080 --> 00:42:55,320 Speaker 2: take story, which means it has great graphics in addition 863 00:42:55,400 --> 00:42:58,120 Speaker 2: to being well reported, well sourced. Some of these buildings, 864 00:42:58,120 --> 00:43:01,240 Speaker 2: I mean New York Chicago, Las, I mean five fifty 865 00:43:01,239 --> 00:43:03,880 Speaker 2: five West fitth Street, seven twenty five South Figaroa. I 866 00:43:03,960 --> 00:43:06,480 Speaker 2: know that building. But these things are being valued at 867 00:43:06,640 --> 00:43:10,160 Speaker 2: significant discounts, right, and some not even covering the amount 868 00:43:10,200 --> 00:43:13,919 Speaker 2: of the outstanding loan. So that's where the that's where 869 00:43:13,960 --> 00:43:14,680 Speaker 2: the problems come in. 870 00:43:14,880 --> 00:43:17,040 Speaker 12: Yeah, that's the problem. And it's also like a lot 871 00:43:17,040 --> 00:43:19,279 Speaker 12: of those buildings depend on one single tenant. So the 872 00:43:19,320 --> 00:43:22,640 Speaker 12: minute that tenant's like, look my lease is up, I'm leaving. 873 00:43:22,640 --> 00:43:25,279 Speaker 12: I want a newer office. This building is really old. 874 00:43:26,200 --> 00:43:29,400 Speaker 12: The bond's just shoppen price because that's where they're getting 875 00:43:29,400 --> 00:43:29,800 Speaker 12: the income. 876 00:43:30,080 --> 00:43:33,440 Speaker 6: I think anytime it comes to anything revolving around real estate, 877 00:43:33,480 --> 00:43:35,520 Speaker 6: as we know very well, people want to harken back 878 00:43:35,560 --> 00:43:37,560 Speaker 6: to the global financial crisis in two thousand and eight. 879 00:43:37,560 --> 00:43:40,400 Speaker 6: But this is a very different situation, especially coming out 880 00:43:40,440 --> 00:43:42,279 Speaker 6: of the pandemic, and talk to us more about how 881 00:43:42,280 --> 00:43:45,240 Speaker 6: this is a very small subset of the bond market 882 00:43:45,280 --> 00:43:46,160 Speaker 6: when you're looking at this. 883 00:43:46,280 --> 00:43:48,840 Speaker 12: Yes, definitely, like there's definitely some type of eco to 884 00:43:48,880 --> 00:43:51,040 Speaker 12: the like similar to the financial crisis in the sense 885 00:43:51,080 --> 00:43:53,760 Speaker 12: that like you don't really see losses on the principal 886 00:43:53,800 --> 00:43:56,320 Speaker 12: level and triple A bonds like that hasn't happened since oaight. 887 00:43:57,520 --> 00:44:00,080 Speaker 12: But again, like it's just a few bonds with the 888 00:44:00,080 --> 00:44:02,200 Speaker 12: commercial mortgage backed securities market. 889 00:44:02,280 --> 00:44:04,160 Speaker 6: Right, So when you're speaking with your sources, I mean, 890 00:44:04,200 --> 00:44:07,200 Speaker 6: what are the risks of other broader ripple effects or 891 00:44:07,239 --> 00:44:09,839 Speaker 6: any sort of other red flags potentially brewing. And then 892 00:44:09,880 --> 00:44:12,680 Speaker 6: maybe the off side of that where there's more optimism 893 00:44:12,719 --> 00:44:13,600 Speaker 6: of what could happen. 894 00:44:14,000 --> 00:44:16,319 Speaker 12: Yeah, I think like the risk is mainly for any 895 00:44:16,360 --> 00:44:20,440 Speaker 12: building that's old like and that the tenants are walking, 896 00:44:20,640 --> 00:44:23,560 Speaker 12: there's going to be issues. But if any new building that, 897 00:44:23,719 --> 00:44:26,200 Speaker 12: like you know, has a great reputation has a lot 898 00:44:26,200 --> 00:44:29,080 Speaker 12: of tenants, like there's that market is kind of booming 899 00:44:29,160 --> 00:44:31,920 Speaker 12: like right now in new issue markets, like buyers are 900 00:44:31,960 --> 00:44:34,520 Speaker 12: like just gobbling up the dead like, So it really 901 00:44:34,520 --> 00:44:35,280 Speaker 12: depends on the building. 902 00:44:35,440 --> 00:44:37,120 Speaker 9: I used to work in one of those buildings in 903 00:44:37,200 --> 00:44:38,440 Speaker 9: the Garments Center. 904 00:44:38,800 --> 00:44:43,440 Speaker 13: Really and talk about old. The elevators would break down 905 00:44:43,440 --> 00:44:46,279 Speaker 13: at least once a week, and the elevator, the shaft, 906 00:44:46,600 --> 00:44:49,600 Speaker 13: the gears were all made out of wood. 907 00:44:49,760 --> 00:44:50,839 Speaker 6: Did you ever get stuck in one? 908 00:44:50,920 --> 00:44:51,080 Speaker 2: Oh? 909 00:44:51,160 --> 00:44:53,319 Speaker 6: Yeah, all the how long were you? 910 00:44:54,000 --> 00:44:54,080 Speaker 5: Oh? 911 00:44:54,120 --> 00:44:57,600 Speaker 9: I don't remember. Ago Fly had some beers with us. 912 00:44:57,560 --> 00:45:00,680 Speaker 2: So find back in the day karma. Is there any 913 00:45:00,680 --> 00:45:03,640 Speaker 2: sense from your reporting that the office real estate market 914 00:45:03,680 --> 00:45:06,160 Speaker 2: is at or near bottom or is anybody calling that 915 00:45:06,280 --> 00:45:06,480 Speaker 2: or too? 916 00:45:06,640 --> 00:45:08,759 Speaker 12: Yeah, a lot of people are calling that. Like when 917 00:45:08,800 --> 00:45:12,160 Speaker 12: we start to see the office buildings get sold, that's 918 00:45:12,280 --> 00:45:14,880 Speaker 12: that's where we've reached the bottom and then everything is 919 00:45:15,000 --> 00:45:15,560 Speaker 12: going to go up. 920 00:45:15,600 --> 00:45:18,640 Speaker 6: Is there a time period timeline as far as how 921 00:45:18,680 --> 00:45:19,359 Speaker 6: long that could take. 922 00:45:19,480 --> 00:45:22,480 Speaker 12: Yeah, it could take a long time because the leases 923 00:45:22,560 --> 00:45:25,040 Speaker 12: are so long that tenants may be locked in for 924 00:45:25,080 --> 00:45:28,399 Speaker 12: like years, but most people are saying it's between now 925 00:45:28,400 --> 00:45:29,640 Speaker 12: in the next few months. 926 00:45:29,920 --> 00:45:30,160 Speaker 1: Wow. 927 00:45:30,280 --> 00:45:33,239 Speaker 2: Interesting because you know there's some iconic buildings here in 928 00:45:33,280 --> 00:45:35,960 Speaker 2: your thing. I mean, six hundred California Street in San Francisco, 929 00:45:36,360 --> 00:45:40,280 Speaker 2: fifteen hundred Market Street, market in Fifteenth Street in Philly. 930 00:45:40,719 --> 00:45:43,440 Speaker 2: These are some big ones. The Aon Center, which was 931 00:45:43,440 --> 00:45:46,279 Speaker 2: the former Sears Tower in Chicago. Look at it, I mean, 932 00:45:46,560 --> 00:45:49,279 Speaker 2: basically half of it's underwater, so crazy, crazy stuff there. 933 00:45:49,520 --> 00:45:52,399 Speaker 2: We knew it was coming, but you just somebody's gonna 934 00:45:52,400 --> 00:45:56,120 Speaker 2: have to pay, unfortunately. Carmen Arroyal credit reporter for Bloomberg News, 935 00:45:56,280 --> 00:45:58,800 Speaker 2: joining us here on a Bloomberg interactive broker studio. You 936 00:45:58,840 --> 00:46:03,640 Speaker 2: can read story and more stories from Bloomberg on at 937 00:46:03,680 --> 00:46:06,000 Speaker 2: the Bloomberg Terminal and at Bloomberg dot com slash Big 938 00:46:06,040 --> 00:46:08,879 Speaker 2: Take again. The Big Take stories come out every day 939 00:46:09,320 --> 00:46:12,560 Speaker 2: from Bloomberg News. They're deep dive stories into really compelling stories, 940 00:46:13,160 --> 00:46:16,879 Speaker 2: deeply sourced, deeply researched, great graphics, and we just love 941 00:46:16,920 --> 00:46:18,359 Speaker 2: highlighting them whenever we can. 942 00:46:18,400 --> 00:46:19,040 Speaker 9: It's a great read. 943 00:46:19,440 --> 00:46:23,960 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apples, Spotify, 944 00:46:24,160 --> 00:46:27,080 Speaker 1: and anywhere else you will get your podcasts. Listen live 945 00:46:27,160 --> 00:46:30,800 Speaker 1: each weekday, ten am to noon Eastern on Bloomberg dot Com, 946 00:46:30,880 --> 00:46:34,279 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 947 00:46:34,400 --> 00:46:37,560 Speaker 1: You can also watch us live every weekday on YouTube 948 00:46:37,640 --> 00:46:39,480 Speaker 1: and always on the Bloomberg terminal