1 00:00:02,720 --> 00:00:10,560 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,560 --> 00:00:14,520 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,560 --> 00:00:18,479 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,600 --> 00:00:21,840 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,920 --> 00:00:23,960 Speaker 1: us live on YouTube. 6 00:00:24,520 --> 00:00:27,040 Speaker 2: Here are the latest headlines on the Bloomberg. The fierce 7 00:00:27,040 --> 00:00:31,400 Speaker 2: winds expended to continue in southern California, exacerbating wildfires and 8 00:00:31,440 --> 00:00:34,960 Speaker 2: putting lives at risk. And the number of dead that 9 00:00:35,000 --> 00:00:38,120 Speaker 2: we know about right now, it is up to twenty 10 00:00:38,159 --> 00:00:41,159 Speaker 2: four and that's expected to climb. Let's get the update 11 00:00:41,200 --> 00:00:44,080 Speaker 2: on all this. Will Wade is the Bloomberg Energy and 12 00:00:44,200 --> 00:00:49,000 Speaker 2: climate reporter here at Bloomberg. Will put things into perspective 13 00:00:49,800 --> 00:00:52,440 Speaker 2: for those of us on the East Coast. How much 14 00:00:52,640 --> 00:00:53,519 Speaker 2: has burned? 15 00:00:53,920 --> 00:00:56,160 Speaker 3: A lot? I mean a whole lot. We're up to 16 00:00:56,600 --> 00:00:59,279 Speaker 3: about forty thousand acres. I know that sounds like kind 17 00:00:59,280 --> 00:01:02,240 Speaker 3: of a random number. So here's some perspective. Forty thousand 18 00:01:02,240 --> 00:01:04,760 Speaker 3: acres is a little bit bigger than Staten Island. 19 00:01:05,319 --> 00:01:05,520 Speaker 4: Wow. 20 00:01:05,840 --> 00:01:09,880 Speaker 5: Well, what do we know so far about the origins 21 00:01:09,920 --> 00:01:10,759 Speaker 5: of these fires? 22 00:01:11,000 --> 00:01:11,160 Speaker 3: Oh? 23 00:01:11,440 --> 00:01:12,480 Speaker 6: It started, and. 24 00:01:13,319 --> 00:01:15,240 Speaker 3: You know what we don't know a whole lot about that. 25 00:01:15,360 --> 00:01:19,040 Speaker 3: I was just talking to my teammates. We cover utilities, 26 00:01:19,120 --> 00:01:22,360 Speaker 3: so obviously we've seen in the past a lot of 27 00:01:23,600 --> 00:01:27,040 Speaker 3: power lines get blamed for fires, and so often it's 28 00:01:27,080 --> 00:01:30,280 Speaker 3: the case we Pgenie went bankrupt a few years ago 29 00:01:30,440 --> 00:01:34,000 Speaker 3: because they started a terrible fire. Today we don't know 30 00:01:34,120 --> 00:01:38,720 Speaker 3: that utility in Southern California, Southern California Edison, and they 31 00:01:38,760 --> 00:01:41,600 Speaker 3: are looking at their power lines. There's no evidence now, 32 00:01:41,800 --> 00:01:46,160 Speaker 3: but they've fielded some of these requests to retain evidence. 33 00:01:46,319 --> 00:01:48,680 Speaker 3: So that's definitely where people are checking. 34 00:01:48,760 --> 00:01:52,480 Speaker 2: First, we've heard a lot of blame being pointed at 35 00:01:52,680 --> 00:01:56,720 Speaker 2: the mayor, at the governor. Is there any legitimacy to 36 00:01:56,840 --> 00:01:59,080 Speaker 2: any of that at all? As far as you. 37 00:01:59,000 --> 00:02:02,160 Speaker 3: Can tell, As far as I can tell, it seems 38 00:02:02,280 --> 00:02:06,680 Speaker 3: like a lot of politicization. I may turn out to 39 00:02:06,720 --> 00:02:10,200 Speaker 3: be wrong on that, but for today, I'd say, don't 40 00:02:10,240 --> 00:02:11,960 Speaker 3: pay too much attention to that stuff. 41 00:02:12,400 --> 00:02:17,520 Speaker 5: So you're the energy and climate reporter for us folks 42 00:02:17,520 --> 00:02:20,959 Speaker 5: out here in New York. Help us kind of understand 43 00:02:21,120 --> 00:02:25,080 Speaker 5: the climate in California. 44 00:02:24,200 --> 00:02:28,120 Speaker 3: Not only the geography, but just the winds. 45 00:02:27,840 --> 00:02:31,120 Speaker 5: And the weather that they have that kind of propelled 46 00:02:31,240 --> 00:02:33,720 Speaker 5: this fire and is causing it to spread so quickly. 47 00:02:33,960 --> 00:02:36,600 Speaker 3: Sure, I mean, I know this really well. I grew 48 00:02:36,680 --> 00:02:40,440 Speaker 3: up in California the fall and winter months, the Santa 49 00:02:40,440 --> 00:02:44,080 Speaker 3: Ana winds. They come every year. But what's happened in 50 00:02:44,120 --> 00:02:47,680 Speaker 3: the past several years is, you know, with climate change, 51 00:02:47,680 --> 00:02:52,840 Speaker 3: we've got longer, hotter summers. We've been had droughts, so 52 00:02:53,000 --> 00:02:56,840 Speaker 3: you've get these hillsides that are just baked dry all 53 00:02:56,880 --> 00:03:01,040 Speaker 3: summer long, all fall long. There's nothing there but dry 54 00:03:01,120 --> 00:03:05,120 Speaker 3: bush and trees, and it's fuel for fires. And then 55 00:03:05,120 --> 00:03:08,919 Speaker 3: the winds come and any tiny spark can trigger it, 56 00:03:09,040 --> 00:03:11,520 Speaker 3: and the winds are going to just blow these blazes 57 00:03:11,560 --> 00:03:14,440 Speaker 3: all over the place. That's was the problem. A week 58 00:03:14,480 --> 00:03:18,760 Speaker 3: ago when there were like ninety mile an hour winds. 59 00:03:19,080 --> 00:03:21,160 Speaker 3: They died down for a few days, but they started 60 00:03:21,200 --> 00:03:24,519 Speaker 3: back up again. Now it's supposed to last through Wednesday, 61 00:03:25,080 --> 00:03:27,080 Speaker 3: could be more after that. I think they're up to 62 00:03:28,000 --> 00:03:31,480 Speaker 3: seventy mile per hour gusts coming this week. So it 63 00:03:31,560 --> 00:03:34,640 Speaker 3: blows sparks, it fans the flames, it makes it harder 64 00:03:34,680 --> 00:03:35,640 Speaker 3: to put them out. 65 00:03:35,920 --> 00:03:38,280 Speaker 2: What is the What do we know in terms of 66 00:03:38,280 --> 00:03:39,760 Speaker 2: the economic damage so far? 67 00:03:40,040 --> 00:03:42,160 Speaker 3: Oh, it's a big number. I just saw a number 68 00:03:42,200 --> 00:03:44,840 Speaker 3: this morning. We're looking at two hundred and fifty to 69 00:03:44,880 --> 00:03:47,920 Speaker 3: two hundred and seventy five billion dollars in damages. That's 70 00:03:47,960 --> 00:03:51,840 Speaker 3: from damages, lost wages, supply chain disruptions, sort of the 71 00:03:51,880 --> 00:03:54,120 Speaker 3: whole package. But that's that's a lot of money. 72 00:03:54,600 --> 00:03:57,360 Speaker 2: That would place this at I mean, correct me if 73 00:03:57,360 --> 00:03:59,960 Speaker 2: I'm wrong, it would be the in terms of the cost, 74 00:04:00,200 --> 00:04:04,160 Speaker 2: the worst natural disaster in history in the US history. 75 00:04:04,560 --> 00:04:06,480 Speaker 2: I suspect it could be. 76 00:04:06,560 --> 00:04:08,560 Speaker 3: I haven't seen a ranking on that, but certainly it's 77 00:04:08,560 --> 00:04:10,560 Speaker 3: going to be up there. This is a this is 78 00:04:10,560 --> 00:04:12,880 Speaker 3: a big fire, and we're not done yet. I mean, 79 00:04:12,920 --> 00:04:15,800 Speaker 3: the two main fires are the Palisades Fire and the 80 00:04:15,880 --> 00:04:20,600 Speaker 3: Eaten Fire. Palisades is about fourteen percent contained. Eton is 81 00:04:20,680 --> 00:04:23,159 Speaker 3: about thirty something percent contained. 82 00:04:24,240 --> 00:04:26,120 Speaker 2: Okay, what does that mean? 83 00:04:26,560 --> 00:04:28,919 Speaker 3: Like fourteen percent contained? 84 00:04:29,440 --> 00:04:30,560 Speaker 2: Does that mean that. 85 00:04:31,040 --> 00:04:34,479 Speaker 5: It's likely to just continue to keep spreading? Like what 86 00:04:34,600 --> 00:04:37,599 Speaker 5: is the definition of a contained fire? 87 00:04:39,360 --> 00:04:39,680 Speaker 7: You know what? 88 00:04:39,720 --> 00:04:42,479 Speaker 3: I don't know exactly what it means, but it certainly 89 00:04:42,520 --> 00:04:45,400 Speaker 3: means that they are not even close to under control 90 00:04:45,520 --> 00:04:47,520 Speaker 3: yet They're probably going to get bigger. 91 00:04:49,680 --> 00:04:53,039 Speaker 2: That's the economic toll the damage is. There's also a 92 00:04:53,080 --> 00:04:56,640 Speaker 2: psychological aspect of it. You know people out there, you're 93 00:04:56,680 --> 00:04:59,800 Speaker 2: from that area, I do what's going through their minds. 94 00:05:00,080 --> 00:05:02,240 Speaker 3: Well, I'll tell you about my aunt because I was 95 00:05:02,279 --> 00:05:05,760 Speaker 3: texting with her yesterday. Her house is about two and 96 00:05:05,800 --> 00:05:08,080 Speaker 3: a half blocks from the front lines of the Eton 97 00:05:08,200 --> 00:05:11,720 Speaker 3: Fire in North Pasadena. She evacuated a week ago last 98 00:05:11,760 --> 00:05:15,240 Speaker 3: Tuesday night. She was allowed to go home briefly to 99 00:05:15,279 --> 00:05:17,240 Speaker 3: pick up some stuff over the weekend, but she is 100 00:05:17,360 --> 00:05:23,039 Speaker 3: just really rattled. It looks like her house might be safe, 101 00:05:23,040 --> 00:05:24,719 Speaker 3: at least from what I've been looking at today. It 102 00:05:24,800 --> 00:05:28,440 Speaker 3: hasn't encroached on it anymore in the past several days, 103 00:05:28,640 --> 00:05:31,840 Speaker 3: and I hope that stays true. But if she loses 104 00:05:31,880 --> 00:05:33,920 Speaker 3: her house, it's going to be really serious for her. 105 00:05:34,600 --> 00:05:36,560 Speaker 2: And this is an area where it's just like you 106 00:05:36,600 --> 00:05:39,320 Speaker 2: grow up, you live there, and then the landscape just 107 00:05:39,480 --> 00:05:42,480 Speaker 2: like in a few days, completely changes. That's going to 108 00:05:42,560 --> 00:05:45,400 Speaker 2: have a tremendous impact on your psyche. 109 00:05:45,600 --> 00:05:48,040 Speaker 3: Oh yeah, I mean I know this area. I was 110 00:05:48,080 --> 00:05:51,000 Speaker 3: there last summer. My mom texted me last week, She's like, 111 00:05:51,040 --> 00:05:53,400 Speaker 3: remember that place we went for brunch last June when 112 00:05:53,400 --> 00:05:54,839 Speaker 3: you were here. Yeah, it's gone. 113 00:05:55,440 --> 00:05:59,440 Speaker 5: Yeah, even the I've seen photos of some houses on 114 00:05:59,520 --> 00:06:03,160 Speaker 5: blocks are the one house left standing, which, in that sense, 115 00:06:03,279 --> 00:06:06,359 Speaker 5: I guess you can feel lucky if that was your house. 116 00:06:06,440 --> 00:06:09,080 Speaker 5: But then what happens Then you move back into your 117 00:06:09,080 --> 00:06:11,719 Speaker 5: house and all your neighbors are gone, and then you're 118 00:06:11,760 --> 00:06:13,320 Speaker 5: just on an empty block. 119 00:06:13,400 --> 00:06:16,200 Speaker 3: I mean that's devastating. I would think that would really 120 00:06:16,360 --> 00:06:19,640 Speaker 3: be hard to live there, just to look around at 121 00:06:19,720 --> 00:06:22,599 Speaker 3: the community that you used to know, and now it's gone, 122 00:06:22,680 --> 00:06:25,279 Speaker 3: and it'll rebuild, but it'll be different. 123 00:06:26,080 --> 00:06:28,960 Speaker 2: What is your sense of what has to happen in 124 00:06:29,080 --> 00:06:32,600 Speaker 2: terms of rebuilding and what happens in the future. I mean, 125 00:06:33,200 --> 00:06:36,159 Speaker 2: can you really make your house and your property fire proof? 126 00:06:37,520 --> 00:06:40,479 Speaker 3: I mean, you can build it out of concrete. But 127 00:06:41,440 --> 00:06:43,840 Speaker 3: the thing is, I've been writing about climate change for 128 00:06:44,680 --> 00:06:48,839 Speaker 3: years and it just gets worse and people more people 129 00:06:48,920 --> 00:06:51,560 Speaker 3: talk about it now, but we still need to see 130 00:06:51,880 --> 00:06:56,520 Speaker 3: behavioral changes. There are places that are no longer as 131 00:06:56,600 --> 00:06:58,039 Speaker 3: safe as they used to be. 132 00:06:58,560 --> 00:07:00,680 Speaker 2: Well, I mean behavioral changes in terms of what. 133 00:07:01,040 --> 00:07:03,360 Speaker 3: In terms of thinking should I live here? Should I 134 00:07:03,440 --> 00:07:06,000 Speaker 3: not live here? You know, there's a lot of coastal 135 00:07:06,000 --> 00:07:10,720 Speaker 3: communities that are you know, the local agencies are saying 136 00:07:10,720 --> 00:07:13,240 Speaker 3: we're not going to pay to keep rebuilding the roads 137 00:07:13,280 --> 00:07:17,240 Speaker 3: when the oceans overturn it every summer, and you're going 138 00:07:17,280 --> 00:07:19,320 Speaker 3: to have to think about how you want to live there. 139 00:07:19,760 --> 00:07:22,720 Speaker 2: Well, maybe you know, we should all move to Vermont. Oh, 140 00:07:22,720 --> 00:07:25,600 Speaker 2: but wait, part of it was washed out because of 141 00:07:25,600 --> 00:07:28,720 Speaker 2: the heavy rains. Maybe I should move to Florida. But oh, 142 00:07:28,760 --> 00:07:30,680 Speaker 2: I'm going to get hit with you know, where'd he go? 143 00:07:30,880 --> 00:07:31,520 Speaker 2: What's safe? 144 00:07:31,560 --> 00:07:31,800 Speaker 4: Now? 145 00:07:32,240 --> 00:07:34,320 Speaker 3: I wish I had a better answer for you. What 146 00:07:34,360 --> 00:07:37,760 Speaker 3: I know is that climate change is real and it's 147 00:07:37,800 --> 00:07:39,280 Speaker 3: a bigger threat than it ever was. 148 00:07:39,760 --> 00:07:41,480 Speaker 2: Do you get a lot of pushback when you say 149 00:07:41,480 --> 00:07:42,440 Speaker 2: something like that. 150 00:07:42,760 --> 00:07:44,880 Speaker 3: Sometimes when I talk to my relatives in the South. 151 00:07:45,520 --> 00:07:50,440 Speaker 2: Yeah, well, always a pleasure. Thanks Will Wait, Bloomberg Energy 152 00:07:50,480 --> 00:07:53,640 Speaker 2: and Climate Reporter, the Los Angeles wildfires. 153 00:07:55,400 --> 00:07:59,280 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch the program 154 00:07:59,360 --> 00:08:02,760 Speaker 1: lives a ten am Eastern on Apple, Cocklay and Android 155 00:08:02,800 --> 00:08:05,800 Speaker 1: Auto with the Bloomberg Business App. You can also listen 156 00:08:05,920 --> 00:08:09,160 Speaker 1: live on Amazon Alexa from our flagship New York station. 157 00:08:09,720 --> 00:08:13,640 Speaker 1: Just say Alexa play Bloomberg eleven thirty Tech. 158 00:08:13,480 --> 00:08:18,160 Speaker 2: Heavy NASDAK down another one percent in today's trading. So 159 00:08:18,400 --> 00:08:21,680 Speaker 2: what's next. Let's put that question to Kim Forrest, a 160 00:08:21,720 --> 00:08:26,880 Speaker 2: founder at thee Cio Boca Capital Partners. It's kind of 161 00:08:26,920 --> 00:08:30,160 Speaker 2: safe to describe you as something of a tech geek 162 00:08:30,520 --> 00:08:33,920 Speaker 2: considering your background. What's on your Bingo card right now? 163 00:08:35,000 --> 00:08:40,719 Speaker 8: Sure, well, let's just make a mixed metaphor here my 164 00:08:40,800 --> 00:08:44,320 Speaker 8: Bingo card, and I was a software engineer. I became 165 00:08:44,400 --> 00:08:48,680 Speaker 8: a cell side analyst that followed computer company. 166 00:08:48,840 --> 00:08:51,200 Speaker 2: I didn't mean that as a pejorative, but you know, 167 00:08:51,559 --> 00:08:52,200 Speaker 2: I know, no. 168 00:08:52,720 --> 00:08:54,240 Speaker 6: No nervous like a good thing. 169 00:08:54,280 --> 00:08:57,720 Speaker 8: Man, I love it, okay, But anyhow, just giving people background, 170 00:08:58,200 --> 00:09:01,520 Speaker 8: and so I do look at tech and tech you 171 00:09:01,520 --> 00:09:04,320 Speaker 8: know it drove the market. Actually, one company really drove 172 00:09:04,360 --> 00:09:06,719 Speaker 8: the market last year. I was looking at some statistics. 173 00:09:07,040 --> 00:09:08,679 Speaker 8: Do you know that the S and P five hundred 174 00:09:08,760 --> 00:09:10,439 Speaker 8: is fifteen percent in Vidia? 175 00:09:10,520 --> 00:09:12,400 Speaker 6: Holy cow? How'd that get to be there? 176 00:09:12,880 --> 00:09:16,840 Speaker 8: Well, because in Vidia grew, right, But going to is 177 00:09:16,960 --> 00:09:18,520 Speaker 8: in Vidia going to grow this year? 178 00:09:18,880 --> 00:09:20,040 Speaker 6: Probably a little. 179 00:09:19,760 --> 00:09:22,840 Speaker 8: Bit, but not like it did in twenty three for sure, 180 00:09:22,880 --> 00:09:26,000 Speaker 8: and maybe not as it did in twenty four. So 181 00:09:27,000 --> 00:09:29,320 Speaker 8: but should you throw out tech? I don't think so. 182 00:09:29,440 --> 00:09:32,679 Speaker 8: I think there's a lot of smaller companies and probably 183 00:09:33,800 --> 00:09:36,880 Speaker 8: companies that you don't think are in the bullseye of. 184 00:09:36,880 --> 00:09:38,640 Speaker 6: AI that you could take a look at. 185 00:09:38,720 --> 00:09:41,600 Speaker 8: So that's what I do if you are a tech investor, 186 00:09:42,120 --> 00:09:46,280 Speaker 8: But I'd also be very, very concerned about what's happening 187 00:09:46,320 --> 00:09:49,440 Speaker 8: in bonds. And you don't expect a computer person or 188 00:09:49,800 --> 00:09:52,719 Speaker 8: a software person to be concerned with that. But it 189 00:09:52,800 --> 00:09:56,920 Speaker 8: really will affect the market if bond rates go higher 190 00:09:56,960 --> 00:09:57,760 Speaker 8: from here. 191 00:09:58,120 --> 00:10:03,079 Speaker 2: Because the text in particular depend on future earnings and 192 00:10:03,800 --> 00:10:07,080 Speaker 2: yields are going to put it into that party pretty quickly. 193 00:10:07,120 --> 00:10:10,440 Speaker 8: I suppose, yes, yes, I would love to be able 194 00:10:10,440 --> 00:10:13,600 Speaker 8: to escape you know, math and math modeling, but it 195 00:10:13,679 --> 00:10:17,760 Speaker 8: really does limit earnings whenever, you know, rates go up. 196 00:10:18,200 --> 00:10:22,560 Speaker 8: It is the thing that the tenure is the number 197 00:10:22,640 --> 00:10:27,880 Speaker 8: that everybody discounts forward cash flows at. So the higher 198 00:10:27,920 --> 00:10:31,400 Speaker 8: that goes, the lower multiple that you can expect. Is 199 00:10:31,440 --> 00:10:32,520 Speaker 8: it really that easy? 200 00:10:32,880 --> 00:10:37,960 Speaker 9: Sadly it is, okay, But you know, I'm just trying 201 00:10:38,000 --> 00:10:42,640 Speaker 9: to think about years where you know, in the last 202 00:10:42,679 --> 00:10:45,400 Speaker 9: maybe two years or so, there was a lot of 203 00:10:45,440 --> 00:10:48,400 Speaker 9: talk about higher rates and how that was going to 204 00:10:48,480 --> 00:10:51,400 Speaker 9: dent textocs and it hasn't yet. 205 00:10:51,640 --> 00:10:54,960 Speaker 5: I'm wondering if something has changed now that we're in 206 00:10:55,200 --> 00:10:57,920 Speaker 5: what could be I guess a good news for the 207 00:10:57,960 --> 00:11:01,520 Speaker 5: economy means bad news for textiles because rates are higher 208 00:11:01,559 --> 00:11:03,800 Speaker 5: because you know, we were kind of saying that last 209 00:11:03,880 --> 00:11:09,000 Speaker 5: year and it didn't actually play out that way. 210 00:11:08,000 --> 00:11:11,800 Speaker 8: Right, And I agree with you one hundred percent that 211 00:11:11,880 --> 00:11:15,600 Speaker 8: things change and we should never ever just accept like 212 00:11:16,040 --> 00:11:20,319 Speaker 8: those old sayings of Wall Street because every year is different. 213 00:11:20,720 --> 00:11:23,720 Speaker 8: We have different investors, we have different companies, we have 214 00:11:23,760 --> 00:11:26,600 Speaker 8: a different rate environment. There's so much going on. So 215 00:11:27,080 --> 00:11:29,800 Speaker 8: at the basis I agree with you on that. I 216 00:11:29,920 --> 00:11:33,280 Speaker 8: believe if you would have taken out the Magnificent seven, 217 00:11:33,760 --> 00:11:37,040 Speaker 8: which are all growing well mostly you know, we'll kick 218 00:11:37,040 --> 00:11:41,840 Speaker 8: out Netflix and Apple are mostly growing on AI, right, 219 00:11:41,960 --> 00:11:44,959 Speaker 8: the theory that AI is going to drive these things 220 00:11:45,040 --> 00:11:46,359 Speaker 8: higher in perpetuity. 221 00:11:47,920 --> 00:11:49,839 Speaker 6: I think most of tech was down. 222 00:11:49,960 --> 00:11:53,680 Speaker 8: And remember tech spending used to equal business it spending, 223 00:11:54,160 --> 00:11:57,640 Speaker 8: so that's where the higher rates kind of come into play. 224 00:11:57,760 --> 00:11:59,839 Speaker 8: It was businesses are not going to spend on it, 225 00:12:01,080 --> 00:12:03,320 Speaker 8: and you know, because they're going to pull back and 226 00:12:03,440 --> 00:12:07,320 Speaker 8: just not build for the future. So that's kind of 227 00:12:07,360 --> 00:12:10,920 Speaker 8: one driver there. But I also think in Nvidia has 228 00:12:10,960 --> 00:12:15,080 Speaker 8: had such an outweighed emphasis on the market on tech 229 00:12:15,160 --> 00:12:18,200 Speaker 8: and specifically for the last two years. If you go 230 00:12:18,320 --> 00:12:21,440 Speaker 8: and look at their quarterly earnings and just look at 231 00:12:21,440 --> 00:12:24,960 Speaker 8: the revenue. That tells you the entire reason why everybody 232 00:12:24,960 --> 00:12:28,240 Speaker 8: has piled into in Vidia and why it became, you know, 233 00:12:28,440 --> 00:12:31,760 Speaker 8: a less than trillion dollar company surely and now the 234 00:12:31,760 --> 00:12:35,199 Speaker 8: biggest company in the S and P five hundred right 235 00:12:35,320 --> 00:12:37,680 Speaker 8: by market waiting and. 236 00:12:39,440 --> 00:12:39,800 Speaker 6: Price. 237 00:12:40,080 --> 00:12:44,600 Speaker 8: So it's been a completely outsized move because it had 238 00:12:44,640 --> 00:12:47,439 Speaker 8: a completely outside moved in its revenues. 239 00:12:48,320 --> 00:12:52,200 Speaker 2: Okay, so what's a spending going to look like from 240 00:12:52,200 --> 00:12:52,880 Speaker 2: here on out? 241 00:12:53,920 --> 00:12:55,920 Speaker 6: Right? Well, you get you get a kind of a picture. 242 00:12:56,080 --> 00:12:58,640 Speaker 8: Looking at Microsoft, they say they're going to They said 243 00:12:58,640 --> 00:13:01,160 Speaker 8: they're going to spend eighty billion dollars this year, this 244 00:13:01,160 --> 00:13:04,760 Speaker 8: fiscal year. I think it was JP Morgan did a 245 00:13:04,840 --> 00:13:09,400 Speaker 8: quick assessment on how much Meta, Google, Amazon, and Microsoft 246 00:13:09,440 --> 00:13:12,599 Speaker 8: is spent. It looks like Microsoft was on track to 247 00:13:12,640 --> 00:13:15,240 Speaker 8: spend about eighty billion dollars last year because they did 248 00:13:15,320 --> 00:13:19,640 Speaker 8: it from January to August, and I just annualized, you know, 249 00:13:19,679 --> 00:13:21,760 Speaker 8: whatever the run rate was, So that brings us to 250 00:13:21,840 --> 00:13:26,160 Speaker 8: eighty billion. Now, let's not sneeze at eighty billion dollars. 251 00:13:26,200 --> 00:13:29,040 Speaker 8: That's a lot of money, but it's going from eighty 252 00:13:29,320 --> 00:13:32,400 Speaker 8: seventy eight billion in twenty twenty four to eighty billion. 253 00:13:32,800 --> 00:13:38,120 Speaker 8: So I don't know that the big spenders in AI 254 00:13:38,400 --> 00:13:41,120 Speaker 8: are going to increase like they did in the last 255 00:13:41,160 --> 00:13:44,440 Speaker 8: couple of years again because they could. Right they were 256 00:13:44,480 --> 00:13:47,240 Speaker 8: spending zero on it and now they're spending a lot 257 00:13:47,240 --> 00:13:49,040 Speaker 8: on it. But I don't know that they're going to 258 00:13:49,120 --> 00:13:49,880 Speaker 8: double it again. 259 00:13:51,000 --> 00:13:53,880 Speaker 2: Kim boys your pleasure. Thanks for being here. I appreciate it. 260 00:13:54,360 --> 00:13:58,280 Speaker 2: Kim Forrest, founder CIO Boca Capital Partners. 261 00:14:00,080 --> 00:14:03,760 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 262 00:14:03,840 --> 00:14:06,920 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 263 00:14:06,920 --> 00:14:10,240 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 264 00:14:10,280 --> 00:14:13,840 Speaker 1: you get your podcasts, or watch us live on YouTube. 265 00:14:14,480 --> 00:14:18,640 Speaker 10: Matt Miller here sitting in for Alex Emily Graffeo sitting 266 00:14:18,679 --> 00:14:22,280 Speaker 10: in for Paul Sweeney on a day when the markets 267 00:14:22,320 --> 00:14:26,880 Speaker 10: are down again. I looked this morning at the open, Emily, 268 00:14:26,880 --> 00:14:29,720 Speaker 10: we were looking at fifty seven eighty two on the 269 00:14:29,760 --> 00:14:31,960 Speaker 10: S and P five hundred. You know what's interesting, that's 270 00:14:32,000 --> 00:14:36,920 Speaker 10: exactly the closing level on November fifth, really, yes, the 271 00:14:37,040 --> 00:14:40,360 Speaker 10: day of the US election. After that, of course we 272 00:14:40,520 --> 00:14:45,000 Speaker 10: rallied higher. I think we were in the fifty nine 273 00:14:45,080 --> 00:14:49,040 Speaker 10: hundreds already by the morning the open of November sixth, 274 00:14:49,080 --> 00:14:52,880 Speaker 10: but we've erased all of those games and then some 275 00:14:53,680 --> 00:14:56,880 Speaker 10: since we knew that Donald Trump won the presidential election 276 00:14:56,920 --> 00:14:59,440 Speaker 10: on November fifth. We were also at four twenty five 277 00:14:59,560 --> 00:15:02,000 Speaker 10: on the ten year yield back on November fifth, and 278 00:15:02,040 --> 00:15:07,120 Speaker 10: now we're looking at four seventy seven, So for actually no. 279 00:15:07,240 --> 00:15:10,080 Speaker 10: Four seventy nine to sixty four right now on the 280 00:15:10,160 --> 00:15:16,000 Speaker 10: ten year yield, so we're up a solid sixty five 281 00:15:16,040 --> 00:15:19,640 Speaker 10: points from our fifty five points from there. The Bloomberg 282 00:15:19,680 --> 00:15:24,120 Speaker 10: Dollar Index also much higher right now at thirteenenty twenty two. 283 00:15:24,200 --> 00:15:28,360 Speaker 10: We were closer to twelve twenty back on November fifth. 284 00:15:28,440 --> 00:15:33,360 Speaker 10: So we've seen all the wrong assets rise in terms 285 00:15:33,360 --> 00:15:35,520 Speaker 10: of I guess bond yields, and the dollar in the 286 00:15:35,600 --> 00:15:37,440 Speaker 10: right ones fall in terms of the stocks. 287 00:15:37,640 --> 00:15:39,040 Speaker 7: I want to bring in Guarev Moleague to. 288 00:15:39,040 --> 00:15:42,720 Speaker 10: Talk a little bit about this, chief investment officer over 289 00:15:42,760 --> 00:15:47,400 Speaker 10: at Palace Capital Advisors. Does this repricing make sense to you, Guarrev. 290 00:15:50,040 --> 00:15:51,560 Speaker 2: I wouldn't say that it makes sense. 291 00:15:51,600 --> 00:15:53,560 Speaker 4: I mean it's it's hard to make much sense of 292 00:15:53,600 --> 00:15:56,400 Speaker 4: the markets these days, with a lot being driven by sentiment. 293 00:15:57,000 --> 00:15:59,280 Speaker 4: I think if you look at fundamentals from our standpoint 294 00:15:59,280 --> 00:16:02,040 Speaker 4: from November five till now, in terms of actually what 295 00:16:02,080 --> 00:16:05,480 Speaker 4: has occurred, nothing much has changed. I think we still 296 00:16:05,520 --> 00:16:07,880 Speaker 4: expect that we're going to see a pretty solid Q 297 00:16:08,080 --> 00:16:12,440 Speaker 4: four earning season. We remain excited about earnings for twenty 298 00:16:12,440 --> 00:16:16,080 Speaker 4: twenty five. I think the places where most investors taking 299 00:16:16,120 --> 00:16:20,320 Speaker 4: pause is really what's the action the incoming Trim administration 300 00:16:20,400 --> 00:16:22,440 Speaker 4: is going to take on the policy front. So in 301 00:16:22,480 --> 00:16:24,040 Speaker 4: some areas, I would say, yeah, a bit of a 302 00:16:24,080 --> 00:16:26,720 Speaker 4: surprise to see the uprally and then the downtrended markets. 303 00:16:26,760 --> 00:16:30,360 Speaker 4: But from a fundamental standpoint, I think for stocks and earnings, 304 00:16:30,400 --> 00:16:31,640 Speaker 4: we haven't seen much change. 305 00:16:31,920 --> 00:16:35,960 Speaker 5: So even after Friday's jobs report and the moves that 306 00:16:36,000 --> 00:16:40,680 Speaker 5: we've seen in treasury rates, you're still optimistic and it 307 00:16:40,720 --> 00:16:43,640 Speaker 5: sounds like on the outlook for stocks for twenty twenty 308 00:16:43,680 --> 00:16:45,320 Speaker 5: five we are. 309 00:16:45,480 --> 00:16:47,920 Speaker 4: I think that, you know, as we look at the 310 00:16:47,960 --> 00:16:51,840 Speaker 4: fundamental drivers, which from a macro level we think about 311 00:16:51,920 --> 00:16:54,280 Speaker 4: what's going to occur with GDP growth, I think that 312 00:16:54,320 --> 00:16:58,760 Speaker 4: looks pretty solid when we think about company's own projections, 313 00:16:58,800 --> 00:17:00,280 Speaker 4: and again as we get through Q four, see some 314 00:17:00,320 --> 00:17:01,960 Speaker 4: will get a sense of how they're advising as we 315 00:17:02,000 --> 00:17:06,080 Speaker 4: look at twenty twenty five, but again, expectation of about 316 00:17:06,080 --> 00:17:09,760 Speaker 4: five to six percent revenue growth. Margins for the S 317 00:17:09,800 --> 00:17:13,119 Speaker 4: and P are at all time highs, which justifies, frankly, 318 00:17:13,200 --> 00:17:16,840 Speaker 4: the multiple we're seeing at twenty one. So many things 319 00:17:16,880 --> 00:17:19,640 Speaker 4: I would say that don't worry us too much. I 320 00:17:19,680 --> 00:17:26,280 Speaker 4: think yes, on inflation and yields, A bit more surprised 321 00:17:26,359 --> 00:17:28,960 Speaker 4: on that front since November. I mean again, you know, 322 00:17:29,000 --> 00:17:32,040 Speaker 4: but the market has been so volatile with incoming macro 323 00:17:32,119 --> 00:17:35,000 Speaker 4: data that you know, in the morning, I was talking 324 00:17:35,040 --> 00:17:37,679 Speaker 4: with our investment team. We're talking about what's the projection 325 00:17:37,760 --> 00:17:38,879 Speaker 4: for the end of the year, and I said, you know, 326 00:17:38,960 --> 00:17:42,440 Speaker 4: I'm just nervous about making a projection because the economic 327 00:17:42,520 --> 00:17:44,560 Speaker 4: data that has been coming in and bond voltarty, frankly, 328 00:17:44,600 --> 00:17:45,440 Speaker 4: has been in so high. 329 00:17:46,040 --> 00:17:49,960 Speaker 5: What about if we were to get I'm not making 330 00:17:49,960 --> 00:17:53,919 Speaker 5: a prediction here, but a FED hike, because when you 331 00:17:53,920 --> 00:17:56,119 Speaker 5: look at to your yields, that is certainly what some 332 00:17:56,320 --> 00:18:01,159 Speaker 5: bond investors are expecting to come. Do we need a 333 00:18:01,400 --> 00:18:05,760 Speaker 5: cut for your kind of optimistic view to continue to 334 00:18:05,800 --> 00:18:08,880 Speaker 5: play out, or if we were to get a hike, 335 00:18:09,200 --> 00:18:11,360 Speaker 5: could we still see stock staying resilient? 336 00:18:12,480 --> 00:18:16,240 Speaker 4: So hike seems something that would shock markets frankly, right, 337 00:18:16,359 --> 00:18:19,520 Speaker 4: So now you're talking about a slightly different way to 338 00:18:19,600 --> 00:18:21,920 Speaker 4: view that situation. That would indicate to us that the 339 00:18:21,960 --> 00:18:24,359 Speaker 4: fact doesn't know what they're doing. Right so far, they 340 00:18:24,440 --> 00:18:27,320 Speaker 4: mean guiding us towards this fact that, Okay, we think 341 00:18:27,359 --> 00:18:29,560 Speaker 4: infation is going to be under control. Now again that's 342 00:18:29,560 --> 00:18:31,720 Speaker 4: been pushed off a little bit. Perhaps we're expecting a 343 00:18:31,720 --> 00:18:34,360 Speaker 4: two percent number would have showed up by twenty twenty five, 344 00:18:34,359 --> 00:18:37,320 Speaker 4: and I think that's looking more like twenty twenty six expectations. 345 00:18:37,760 --> 00:18:41,360 Speaker 4: But direction is indicating that they're still in a mode 346 00:18:41,640 --> 00:18:43,919 Speaker 4: where monetary policy is tight and they're going to keep 347 00:18:43,960 --> 00:18:47,760 Speaker 4: it at that level. So a change in direction on 348 00:18:47,800 --> 00:18:50,040 Speaker 4: that side to say we're going to certainly start doing 349 00:18:50,119 --> 00:18:53,520 Speaker 4: hikes to tighten it even more, I think that would 350 00:18:53,600 --> 00:18:55,800 Speaker 4: send a signal marketplace the fact doesn't know what it's doing, 351 00:18:55,880 --> 00:18:59,600 Speaker 4: and then you're looking certainly at a spiraling effect on 352 00:18:59,640 --> 00:19:00,320 Speaker 4: stock market. 353 00:19:00,480 --> 00:19:02,120 Speaker 2: So I think that would be very concerning. 354 00:19:02,760 --> 00:19:04,960 Speaker 10: So, I mean, we get a couple of data points 355 00:19:04,960 --> 00:19:06,639 Speaker 10: over the next couple of days that are going to 356 00:19:07,000 --> 00:19:09,520 Speaker 10: mean a lot to the Federal Reserve, at least they 357 00:19:09,760 --> 00:19:12,480 Speaker 10: mean a lot to how markets forecast what the Fed 358 00:19:12,520 --> 00:19:16,200 Speaker 10: is going to do. We get PPI tomorrow and we're 359 00:19:16,200 --> 00:19:19,760 Speaker 10: looking for three point eight percent on the core year 360 00:19:19,840 --> 00:19:23,520 Speaker 10: over year. It's pretty high, right, And we get CPI 361 00:19:23,720 --> 00:19:26,440 Speaker 10: on Wednesday and there we're still looking for three point 362 00:19:26,480 --> 00:19:27,640 Speaker 10: three percent. 363 00:19:28,720 --> 00:19:30,200 Speaker 7: On the core number year over year. 364 00:19:30,280 --> 00:19:33,720 Speaker 10: The Fed wants these numbers to be two, so they're 365 00:19:33,800 --> 00:19:38,359 Speaker 10: still pretty far away. Don't rates need to be restrictive. 366 00:19:40,080 --> 00:19:42,199 Speaker 4: Rates do need to be restrictive, But again, you know, 367 00:19:42,280 --> 00:19:46,200 Speaker 4: when you think about the lagged effect of policy changes, 368 00:19:46,240 --> 00:19:49,959 Speaker 4: both on the up and the down, still maintaining rates 369 00:19:50,000 --> 00:19:52,240 Speaker 4: at a four point two five four point five handle 370 00:19:53,160 --> 00:19:54,800 Speaker 4: for the Fed is still tight. 371 00:19:55,440 --> 00:19:57,359 Speaker 2: So maybe that isn't room for one more. 372 00:19:57,320 --> 00:20:01,200 Speaker 4: Rate thought, which clearly market is also icing in at 373 00:20:01,240 --> 00:20:03,120 Speaker 4: most one rate cutting out of the end of the year. 374 00:20:03,359 --> 00:20:05,280 Speaker 3: I think that's still in restrictive territory. 375 00:20:06,440 --> 00:20:06,800 Speaker 2: Now. 376 00:20:07,040 --> 00:20:10,080 Speaker 4: The inflation picture is also sort of clouded by the 377 00:20:10,080 --> 00:20:12,080 Speaker 4: fact that there's a huge difference between what's occurring on 378 00:20:12,119 --> 00:20:14,399 Speaker 4: the services side and on the good side. You know, 379 00:20:14,480 --> 00:20:18,040 Speaker 4: on the good side, we're saying disinflation. We're seeing disinflation 380 00:20:18,080 --> 00:20:19,760 Speaker 4: occurring in most of the post of the world. On 381 00:20:19,800 --> 00:20:21,960 Speaker 4: the good side, right, that's going to flow through to 382 00:20:22,040 --> 00:20:25,160 Speaker 4: some extent, again, notwithstanding what's the bard that trumped regetation 383 00:20:25,320 --> 00:20:29,959 Speaker 4: takes on datifs. But again that's an effect that is disinflationary. 384 00:20:30,040 --> 00:20:32,000 Speaker 4: So the real question that leaves us where there is 385 00:20:32,240 --> 00:20:34,879 Speaker 4: what's going to court on the services side. And I 386 00:20:34,920 --> 00:20:37,320 Speaker 4: think at a four point two five four point five 387 00:20:38,040 --> 00:20:40,960 Speaker 4: level policy is restrictive enough that we will see a 388 00:20:41,040 --> 00:20:44,560 Speaker 4: lack of effect showed through in inflation numbers. Now again, 389 00:20:44,680 --> 00:20:46,679 Speaker 4: not to say that we'll get to just retrading the 390 00:20:46,680 --> 00:20:48,320 Speaker 4: fact that, not to say we'll get to a two 391 00:20:48,320 --> 00:20:50,159 Speaker 4: handle in twenty twenty five, I think that's not in 392 00:20:50,200 --> 00:20:52,359 Speaker 4: the cards, that we don't see that occurring, but I 393 00:20:52,400 --> 00:20:54,520 Speaker 4: think it gives us some confidence to say that two 394 00:20:54,640 --> 00:20:57,040 Speaker 4: is a number that's possible when you look out at 395 00:20:57,080 --> 00:20:58,480 Speaker 4: the end of twenty twenty six. 396 00:20:59,200 --> 00:21:00,879 Speaker 7: All right, g thanks so much for joining us. 397 00:21:00,920 --> 00:21:05,080 Speaker 10: Appreciate your Insightguarov Malik there is the chief investment officer 398 00:21:05,200 --> 00:21:07,520 Speaker 10: at Palace Capital Advisors. 399 00:21:08,000 --> 00:21:12,679 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 400 00:21:12,880 --> 00:21:16,360 Speaker 1: and anywhere else you get your podcasts. 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