1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,320 Speaker 1: us live on YouTube Now. 6 00:00:27,400 --> 00:00:30,000 Speaker 2: Folks, it's not only the conversation of the day. I 7 00:00:30,040 --> 00:00:32,080 Speaker 2: think it's sort of the conversation of the week. It's 8 00:00:32,080 --> 00:00:36,159 Speaker 2: a holiday lengthened work week. It's sort of weird. And 9 00:00:36,200 --> 00:00:40,280 Speaker 2: then there's after Laurie Kelvicina joins us out of US 10 00:00:40,280 --> 00:00:43,800 Speaker 2: Equity Strategy RBC. She says, to play to when you 11 00:00:43,880 --> 00:00:48,760 Speaker 2: have to participate, what do markets do after Thanksgiving? We 12 00:00:48,920 --> 00:00:51,879 Speaker 2: used to shut down November fifteenth, we got an M 13 00:00:51,880 --> 00:00:55,560 Speaker 2: and a boom Wall Street's mental What do you foresee 14 00:00:56,240 --> 00:00:58,360 Speaker 2: to the end of the year in terms of oomph? 15 00:00:59,160 --> 00:01:02,400 Speaker 3: So question Tom, and I think, as we you know, 16 00:01:02,440 --> 00:01:05,000 Speaker 3: we are sitting here this morning, the futures are up 17 00:01:05,040 --> 00:01:07,120 Speaker 3: a little bit. We had a good Friday, We had 18 00:01:07,480 --> 00:01:11,640 Speaker 3: a very stream. He did, he did, And look, I 19 00:01:11,640 --> 00:01:13,600 Speaker 3: mean anecdotally, it sounds like they're a fair number of 20 00:01:13,640 --> 00:01:15,560 Speaker 3: people who wanted to take some time off this week. 21 00:01:15,600 --> 00:01:16,520 Speaker 4: That aren't getting it. 22 00:01:16,600 --> 00:01:18,160 Speaker 3: So I think people are at a minimum, are going 23 00:01:18,200 --> 00:01:20,959 Speaker 3: to be cranky when they get back after December. But 24 00:01:21,000 --> 00:01:23,160 Speaker 3: I think the reality is that there have been a 25 00:01:23,240 --> 00:01:26,800 Speaker 3: lot of things causing stress in this market, maybe not 26 00:01:26,959 --> 00:01:29,680 Speaker 3: any single one of them enormous stress, but it all 27 00:01:29,760 --> 00:01:31,360 Speaker 3: kind of adds up. I think the FED was one 28 00:01:31,400 --> 00:01:34,400 Speaker 3: of those, frankly, because we had seen expectations for cuts 29 00:01:34,760 --> 00:01:37,400 Speaker 3: taken out, and when you've seen that happen in recent years, 30 00:01:37,400 --> 00:01:39,240 Speaker 3: you know, kind of going back to late twenty twenty two, 31 00:01:39,640 --> 00:01:41,440 Speaker 3: that tends to trip up the stock market, and when 32 00:01:41,480 --> 00:01:43,280 Speaker 3: we put cuts back in, it tends to help the 33 00:01:43,319 --> 00:01:45,360 Speaker 3: stock market. So I have no idea what they're going 34 00:01:45,440 --> 00:01:49,040 Speaker 3: to say. I know that RBC's rate strategist has been 35 00:01:49,040 --> 00:01:51,680 Speaker 3: in the December skip camp, and then he thinks they 36 00:01:51,760 --> 00:01:54,360 Speaker 3: resume next year. So my guess is the drama is 37 00:01:54,400 --> 00:01:57,920 Speaker 3: not yet over. But we also know that valuations have 38 00:01:58,000 --> 00:02:00,160 Speaker 3: been a problem since August, and we've seen, you know, 39 00:02:00,280 --> 00:02:03,200 Speaker 3: f y two valuations sort of bumping up against ceilings. 40 00:02:03,400 --> 00:02:05,440 Speaker 3: We're going to cycle into new earnings at some point, 41 00:02:05,560 --> 00:02:08,040 Speaker 3: but right now companies don't want to talk a whole 42 00:02:08,040 --> 00:02:10,400 Speaker 3: lot about twenty twenty six, So I think it's. 43 00:02:10,280 --> 00:02:11,880 Speaker 2: Also do you want to talk about until. 44 00:02:12,360 --> 00:02:13,240 Speaker 4: I don't think so either. 45 00:02:13,280 --> 00:02:16,280 Speaker 3: I mean, I will say, you know, the consumer companies 46 00:02:16,400 --> 00:02:18,200 Speaker 3: are coming up. You know, we've got a few more 47 00:02:18,240 --> 00:02:20,560 Speaker 3: this week. They're kind of trickling in. It was kind 48 00:02:20,600 --> 00:02:22,640 Speaker 3: of hit or missed last week. There were some good ones, 49 00:02:22,639 --> 00:02:25,400 Speaker 3: there were some not so good ones. You know, it 50 00:02:25,440 --> 00:02:28,200 Speaker 3: does seem like there are certain retailers who are winning 51 00:02:28,320 --> 00:02:32,400 Speaker 3: with all cohorts of consumers that have more value conscious offerings. 52 00:02:33,000 --> 00:02:35,320 Speaker 3: So I think companies are still managing through pretty well. 53 00:02:35,360 --> 00:02:38,799 Speaker 3: But this feels very unsettled, to be honest, coming back 54 00:02:38,840 --> 00:02:39,600 Speaker 3: post Thanksgiving. 55 00:02:39,919 --> 00:02:42,720 Speaker 5: So I know you guys at RBC have your twenty 56 00:02:42,720 --> 00:02:45,440 Speaker 5: twenty six outlook here, what are the themes that you're going 57 00:02:45,480 --> 00:02:46,920 Speaker 5: to be focused on for twenty cox Well, you. 58 00:02:46,960 --> 00:02:49,360 Speaker 3: Know, we actually we did sort of an early cut 59 00:02:49,400 --> 00:02:51,680 Speaker 3: back in September of you know, this is what we're 60 00:02:51,680 --> 00:02:53,800 Speaker 3: seeing for the second half, you know, kind of a 61 00:02:53,840 --> 00:02:56,480 Speaker 3: second half September type target. We haven't done, you know, 62 00:02:56,560 --> 00:02:58,480 Speaker 3: sort of here's the big burrimo. 63 00:02:58,200 --> 00:03:00,360 Speaker 4: For you know, the one that everyone right at the 64 00:03:00,400 --> 00:03:00,640 Speaker 4: end of. 65 00:03:00,600 --> 00:03:03,240 Speaker 3: The year, partially because we had done that early one, 66 00:03:03,280 --> 00:03:05,320 Speaker 3: but we had been saying seventy one hundred for sort 67 00:03:05,360 --> 00:03:08,960 Speaker 3: of a mid to second half twenty twenty six kind 68 00:03:09,000 --> 00:03:11,000 Speaker 3: of number. And I would say our messaging hasn't changed, 69 00:03:11,040 --> 00:03:13,600 Speaker 3: which was that we have thought for quite some time 70 00:03:13,760 --> 00:03:16,720 Speaker 3: the market was way overdue for kind of a five 71 00:03:16,760 --> 00:03:19,959 Speaker 3: to ten percent garden variety type pullback. We finally crossed 72 00:03:19,960 --> 00:03:22,639 Speaker 3: the five percent threshold on Thursday. That's very good news 73 00:03:22,680 --> 00:03:24,720 Speaker 3: because I'd rather get this out of the way now 74 00:03:25,160 --> 00:03:27,920 Speaker 3: than have it overhanging the market early next year. And 75 00:03:27,960 --> 00:03:30,000 Speaker 3: the way we've put it is, we think stocks can 76 00:03:30,040 --> 00:03:33,160 Speaker 3: do well next year, but we do think we have 77 00:03:33,240 --> 00:03:35,040 Speaker 3: some stuff to work through to get there. And the 78 00:03:35,080 --> 00:03:37,360 Speaker 3: good news is we finally started working through those things. 79 00:03:37,560 --> 00:03:41,720 Speaker 5: But we've got arguably strong earnings environment. Second third quarter 80 00:03:41,720 --> 00:03:44,640 Speaker 5: earnings were very good. We've got presumably a FED that's 81 00:03:44,680 --> 00:03:48,720 Speaker 5: in a easing mode. Are those two things in and 82 00:03:48,800 --> 00:03:50,760 Speaker 5: of themselves enough to move the market hired? 83 00:03:50,920 --> 00:03:51,040 Speaker 2: Well? 84 00:03:51,080 --> 00:03:52,960 Speaker 3: Well, this is the interesting sort of part of the 85 00:03:52,960 --> 00:03:56,400 Speaker 3: FED conversation from an equity market perspective, right, which is. 86 00:03:56,720 --> 00:03:58,880 Speaker 4: You know, two or three more cuts, right. 87 00:03:58,920 --> 00:04:01,360 Speaker 3: I mean, that's good and that's helpful, but it's not 88 00:04:01,480 --> 00:04:04,560 Speaker 3: like we're at the beginning of something big and long lasting. 89 00:04:04,600 --> 00:04:07,040 Speaker 3: If you look at most forecasts around the street, right, 90 00:04:07,080 --> 00:04:09,240 Speaker 3: this is kind of a modest adjustment cutting, you know, 91 00:04:09,320 --> 00:04:11,360 Speaker 3: type cycle that most folks are talking about. I do 92 00:04:11,360 --> 00:04:13,920 Speaker 3: think earning's growth is extremely important. I think that's what's 93 00:04:13,920 --> 00:04:14,960 Speaker 3: been powering markets. 94 00:04:15,000 --> 00:04:18,720 Speaker 2: Can you model it out first Q one twenty twenty six. 95 00:04:18,839 --> 00:04:19,719 Speaker 4: In the first quarter? 96 00:04:19,920 --> 00:04:23,359 Speaker 3: I think that, you know, we I think January is 97 00:04:23,360 --> 00:04:25,640 Speaker 3: going to be sort of a pivotal time, to be honest, Tom, 98 00:04:25,680 --> 00:04:28,920 Speaker 3: when companies really kind of unveil the twenty twenty six 99 00:04:28,960 --> 00:04:31,360 Speaker 3: out looks. And we keep seeing that in commentary, right, 100 00:04:31,400 --> 00:04:34,360 Speaker 3: Analysts who dare to ask the question are getting brushed back, 101 00:04:34,360 --> 00:04:35,960 Speaker 3: and companies are saying we'll get back to you in 102 00:04:36,040 --> 00:04:38,840 Speaker 3: January or February. I don't think anyone's really going to care, 103 00:04:38,880 --> 00:04:41,560 Speaker 3: honestly about four Q results by the time January February 104 00:04:41,640 --> 00:04:42,159 Speaker 3: rolls around. 105 00:04:42,240 --> 00:04:46,160 Speaker 2: Interesting at Lori Kelvicina, we continue with the RBC at 106 00:04:46,200 --> 00:04:48,920 Speaker 2: Capital Markets. I went and nerd early in the show. 107 00:04:48,960 --> 00:04:51,200 Speaker 2: I'm going to do it again with the lawyer Paul. 108 00:04:51,320 --> 00:04:58,880 Speaker 2: Can we go back to memory John Maloney Tacoma, remember 109 00:04:58,960 --> 00:05:03,200 Speaker 2: telling to Coo, Okay, there was an invention, believe it 110 00:05:03,279 --> 00:05:07,080 Speaker 2: or not, in the sixth exists didn't exist. Enterprise value 111 00:05:07,160 --> 00:05:13,279 Speaker 2: to EBITDA. I'm this weekend, I saw essays, essays, essays 112 00:05:13,640 --> 00:05:16,680 Speaker 2: of this ratio of debt cash stock is compared to 113 00:05:18,200 --> 00:05:22,320 Speaker 2: the income statement somewhere any income statement plus depreciation amortization. 114 00:05:22,480 --> 00:05:25,520 Speaker 2: Do you have a conviction that, in the cacophity we're 115 00:05:25,560 --> 00:05:28,760 Speaker 2: living now, you can use a modern ratio like EV 116 00:05:28,920 --> 00:05:29,600 Speaker 2: to EBITDA. 117 00:05:29,960 --> 00:05:30,960 Speaker 4: So you know, it's funny Tom. 118 00:05:31,000 --> 00:05:33,520 Speaker 3: A number of years back, I actually surveyed all of 119 00:05:33,560 --> 00:05:37,960 Speaker 3: my analysts about what valuation metrics they thought were appropriate 120 00:05:38,000 --> 00:05:40,160 Speaker 3: for their industries, and I made them give me two. 121 00:05:40,839 --> 00:05:42,520 Speaker 3: And I did find that a lot of the tech 122 00:05:42,560 --> 00:05:43,960 Speaker 3: related analysts gave me. 123 00:05:44,040 --> 00:05:46,080 Speaker 4: EV related metrics. 124 00:05:46,800 --> 00:05:48,840 Speaker 3: That was really where it tended to be limited, to 125 00:05:48,839 --> 00:05:51,719 Speaker 3: be honest, And then the thing that everybody sort of 126 00:05:51,760 --> 00:05:54,080 Speaker 3: agreed on it may not have been their first indicator. 127 00:05:54,120 --> 00:05:56,720 Speaker 3: In fact, it usually wasn't their first indicator, but forward pe. 128 00:05:57,279 --> 00:05:59,560 Speaker 3: So I tend to still be a forward pe person 129 00:06:00,080 --> 00:06:02,800 Speaker 3: because I think, you know, when you're comparing industries, you're 130 00:06:02,839 --> 00:06:05,880 Speaker 3: comparing sectors, you're comparing size segments, you need something that's 131 00:06:05,920 --> 00:06:07,320 Speaker 3: more universally applicable. 132 00:06:08,040 --> 00:06:10,040 Speaker 5: All right, let's stay with the earnings theme. Here, are 133 00:06:10,080 --> 00:06:12,800 Speaker 5: the earnings strong enough to support this market and to 134 00:06:12,839 --> 00:06:13,480 Speaker 5: drive it higher? 135 00:06:13,520 --> 00:06:13,800 Speaker 2: Right now? 136 00:06:13,800 --> 00:06:14,400 Speaker 4: Do you think so? 137 00:06:14,520 --> 00:06:17,120 Speaker 3: You know, there's healthy earnings growth embedded in the consensus 138 00:06:17,120 --> 00:06:19,599 Speaker 3: expectations for next year when we've modeled it out. We 139 00:06:19,680 --> 00:06:22,680 Speaker 3: haven't gotten quite as constructive on as consensus, but we've 140 00:06:22,680 --> 00:06:24,720 Speaker 3: still gott you know, some healthy numbers. I think around 141 00:06:24,800 --> 00:06:28,600 Speaker 3: like ten percent or so. The reality, though, is that 142 00:06:28,680 --> 00:06:31,640 Speaker 3: earning sentiment matters just as much as the earnings themselves. 143 00:06:31,680 --> 00:06:33,880 Speaker 3: And the rate of upward revisions for the broader market 144 00:06:33,880 --> 00:06:34,719 Speaker 3: peaked in August. 145 00:06:35,320 --> 00:06:37,400 Speaker 4: We don't have post and video. 146 00:06:37,200 --> 00:06:40,720 Speaker 3: You know, sort of results yet for that particular indicator 147 00:06:40,720 --> 00:06:42,520 Speaker 3: that we look at the rate of upward revisions. So 148 00:06:42,560 --> 00:06:45,080 Speaker 3: what I need to see in coming weeks is as 149 00:06:45,120 --> 00:06:47,640 Speaker 3: analysts go back and do like all their little modeling, 150 00:06:47,760 --> 00:06:50,960 Speaker 3: you know, and update all their numbers, do we surpass 151 00:06:51,160 --> 00:06:53,159 Speaker 3: or return to that August peak? And we just don't 152 00:06:53,160 --> 00:06:54,760 Speaker 3: know the answer to the question yet. But I think 153 00:06:54,800 --> 00:06:57,839 Speaker 3: one thing markets are struggling with is the idea that 154 00:06:57,920 --> 00:07:00,760 Speaker 3: earning sentiment it's okay, it's just not as good as 155 00:07:00,760 --> 00:07:01,080 Speaker 3: it was. 156 00:07:01,200 --> 00:07:04,000 Speaker 2: Interesting LORI, we don't care. What we care about is 157 00:07:04,000 --> 00:07:06,440 Speaker 2: how do you do mashed potatoes Thanksgiving? 158 00:07:06,480 --> 00:07:08,520 Speaker 3: I'm gonna be honest with you, Tom. I don't cook. 159 00:07:08,640 --> 00:07:14,080 Speaker 3: I hate I burn everything. I just we we with 160 00:07:14,080 --> 00:07:16,000 Speaker 3: our Thanksgiving. We go to my in laws and we're 161 00:07:16,040 --> 00:07:18,120 Speaker 3: responsible for old wine, pies and bread. 162 00:07:18,960 --> 00:07:21,520 Speaker 4: So and we buy some very nice pies. 163 00:07:21,600 --> 00:07:24,760 Speaker 2: Why do you make old wine? You like? Cook Wednesday night? 164 00:07:24,880 --> 00:07:26,560 Speaker 3: I'm gonna be on I don't do this either. I 165 00:07:26,640 --> 00:07:28,800 Speaker 3: run after the children and let my husband do it. 166 00:07:29,640 --> 00:07:34,320 Speaker 2: Okay, honest right in front. It's actually a lot like 167 00:07:36,400 --> 00:07:39,840 Speaker 2: laurd Kelvinsy have a wonderful holiday. Thank you for that 168 00:07:40,000 --> 00:07:45,720 Speaker 2: brief and particularly the CFA worthiness a e v uh. 169 00:07:45,920 --> 00:07:50,120 Speaker 2: Stay with us. More from Bloomberg Surveillance coming up after this. 170 00:07:57,360 --> 00:08:00,920 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 171 00:08:01,000 --> 00:08:04,520 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on Apple, 172 00:08:04,560 --> 00:08:07,920 Speaker 1: Karplay and Android Otto with the Bloomberg Business app, or 173 00:08:08,040 --> 00:08:09,640 Speaker 1: watch us live on YouTube. 174 00:08:09,880 --> 00:08:11,800 Speaker 2: Joining us out Smart and Spain on a Planet. Michael 175 00:08:11,880 --> 00:08:15,280 Speaker 2: McLoone Bloomberg Intelligence senior, Come out of the Analyst. Tom 176 00:08:15,360 --> 00:08:18,320 Speaker 2: stopped making fun of bitcoin at thirty thousand. Boom up 177 00:08:18,400 --> 00:08:21,000 Speaker 2: it went gold, Boom up it went what are you 178 00:08:21,040 --> 00:08:23,000 Speaker 2: focused on A wise one this morning? 179 00:08:24,560 --> 00:08:26,800 Speaker 6: Well, I like, I want to tilt over to your 180 00:08:26,920 --> 00:08:30,280 Speaker 6: term before Tom of bitdog, I think is becoming bit doog. 181 00:08:30,640 --> 00:08:32,680 Speaker 7: The world's changed for cryptocurrencies. 182 00:08:32,720 --> 00:08:35,080 Speaker 6: We had this massive pump on the having and the 183 00:08:35,080 --> 00:08:39,239 Speaker 6: ETF pilot and the Trump administration jumping on board and 184 00:08:39,400 --> 00:08:42,360 Speaker 6: very well entrenched into space now and it's peaked. It's 185 00:08:42,400 --> 00:08:45,679 Speaker 6: a classic I think peak bull market peaks on euphoria. 186 00:08:45,880 --> 00:08:48,040 Speaker 6: The thing is now it's dragging everything lower with it. 187 00:08:48,120 --> 00:08:51,200 Speaker 6: So as of Friday, the Bloomberg Galaxy Crypto index was 188 00:08:51,240 --> 00:08:53,880 Speaker 6: down twenty one percent. On the air was up almost 189 00:08:53,920 --> 00:08:56,800 Speaker 6: a third. Bitcoin is right now down about ten percent year. 190 00:08:56,880 --> 00:08:59,079 Speaker 6: The key things where's it go next? The key thing 191 00:08:59,120 --> 00:09:01,600 Speaker 6: I look at is at the same time cryptos are 192 00:09:01,640 --> 00:09:03,880 Speaker 6: going lower, stock market volatile is just buried. 193 00:09:03,920 --> 00:09:04,000 Speaker 8: Now. 194 00:09:04,040 --> 00:09:05,760 Speaker 6: We know the VIX is up, but one hundred and 195 00:09:05,760 --> 00:09:07,840 Speaker 6: twenty day volatile he's still around eleven percent. 196 00:09:07,920 --> 00:09:09,960 Speaker 7: That's a very low level. So I think the whole 197 00:09:10,080 --> 00:09:10,680 Speaker 7: space has. 198 00:09:10,600 --> 00:09:13,800 Speaker 6: Got more more de risking to go into the end 199 00:09:13,800 --> 00:09:16,120 Speaker 6: of the year, which is probably the primary risk is 200 00:09:16,120 --> 00:09:17,640 Speaker 6: there for bitcoin? 201 00:09:17,720 --> 00:09:21,240 Speaker 5: Does technical analysis work Mike? And if so, was there 202 00:09:21,800 --> 00:09:23,560 Speaker 5: a support number like I don't know. I just kind 203 00:09:23,559 --> 00:09:25,880 Speaker 5: of thought support was one hundred thousand, and we blue 204 00:09:26,040 --> 00:09:27,760 Speaker 5: past that exactly. 205 00:09:27,800 --> 00:09:31,559 Speaker 6: That was the key level, certainly psychological, now, Paul, it 206 00:09:31,640 --> 00:09:33,679 Speaker 6: has to work. It doesn't know, so it has to work, 207 00:09:33,720 --> 00:09:36,079 Speaker 6: but it has to matter because, as time always points out, 208 00:09:36,080 --> 00:09:38,600 Speaker 6: there's no underlying there's no basis. Like I trade crude 209 00:09:38,640 --> 00:09:41,120 Speaker 6: all futures, I know I'm trading those against crudel, I'll 210 00:09:41,120 --> 00:09:42,480 Speaker 6: trade treasury bond futures. 211 00:09:42,600 --> 00:09:44,800 Speaker 7: I know I'm trading those against treasury bonds. 212 00:09:44,840 --> 00:09:47,800 Speaker 6: In bitcoin, at cryptos, there's no basis except for crypto dollars. 213 00:09:48,040 --> 00:09:50,079 Speaker 6: So the key level now, I think it's around eighty four. 214 00:09:50,120 --> 00:09:52,960 Speaker 6: It's been holding eighty four. It's a decent support level. 215 00:09:52,960 --> 00:09:55,600 Speaker 6: The key resistance is around ninety four. That'd be unchanged 216 00:09:55,679 --> 00:09:57,800 Speaker 6: on the year and my bias. It's more a greater 217 00:09:57,960 --> 00:10:00,880 Speaker 6: risk of breaking through eighty four and get towards fifty 218 00:10:01,280 --> 00:10:02,200 Speaker 6: than going higher. 219 00:10:02,240 --> 00:10:03,320 Speaker 7: And the key thing about. 220 00:10:03,120 --> 00:10:05,760 Speaker 6: Fifty is is I love how crypto people say look 221 00:10:05,760 --> 00:10:07,800 Speaker 6: at the chart, but if you look like an annual 222 00:10:07,920 --> 00:10:11,480 Speaker 6: chart going back to twenty twenty twenty one, fifty has 223 00:10:11,520 --> 00:10:13,160 Speaker 6: been a key level for many years. 224 00:10:13,400 --> 00:10:14,839 Speaker 7: Wow, fifty all right? 225 00:10:16,440 --> 00:10:19,320 Speaker 5: Gold Gold seems to be holding at that four thousand 226 00:10:19,480 --> 00:10:21,240 Speaker 5: level here pretty solidly. 227 00:10:21,320 --> 00:10:23,439 Speaker 2: Mike, is that a good support here? 228 00:10:24,400 --> 00:10:25,640 Speaker 7: It's becoming a part of it. 229 00:10:25,679 --> 00:10:29,199 Speaker 6: Gold's been and stare step rally step up to three thousand, hangout, 230 00:10:29,400 --> 00:10:30,880 Speaker 6: step out the four thousand hangout. 231 00:10:30,920 --> 00:10:31,800 Speaker 7: The problem is now. 232 00:10:31,640 --> 00:10:35,560 Speaker 6: It's so extended versus a sixty month moving average. Tom 233 00:10:35,559 --> 00:10:38,000 Speaker 6: would like this. It's about a three standard deviation move. 234 00:10:38,200 --> 00:10:39,920 Speaker 6: You have to go back to nineteen eighties. And the 235 00:10:40,000 --> 00:10:43,360 Speaker 6: key thing that's happening about Gold, it's well exactly, it's 236 00:10:43,400 --> 00:10:46,760 Speaker 6: never rallied that this type of velocity with stock market 237 00:10:46,760 --> 00:10:49,320 Speaker 6: one hundred and twenty day volatily this low, that's just 238 00:10:49,440 --> 00:10:51,800 Speaker 6: never happened. That's what I'm concerned that that volatili might 239 00:10:51,800 --> 00:10:52,840 Speaker 6: pick up into the year end. 240 00:10:53,480 --> 00:10:56,880 Speaker 2: Mike, we don't care. Coral Gables, Florida is the real 241 00:10:57,000 --> 00:11:00,360 Speaker 2: estate market cracked? I mean, real estate never goes down 242 00:11:00,400 --> 00:11:04,240 Speaker 2: in Coral Gables, right Well, I'm hearing it everywhere. 243 00:11:04,280 --> 00:11:08,120 Speaker 6: Paul is certainly here recently reduced most buyers, most transactions 244 00:11:08,160 --> 00:11:10,520 Speaker 6: now are reduced prices. And that's what I get from 245 00:11:10,559 --> 00:11:12,959 Speaker 6: my colleague on the journals team, which I sit right next. 246 00:11:13,040 --> 00:11:15,679 Speaker 6: I'm hearing it everywhere. Same with farm land in the Midwest, 247 00:11:15,679 --> 00:11:18,480 Speaker 6: which I'm very close to. Recent reduced prices are all 248 00:11:18,559 --> 00:11:21,160 Speaker 6: trying to dropping. They're just not buying lifting offers anymore. 249 00:11:21,760 --> 00:11:26,760 Speaker 2: One point six million Navari Avenue cozy, two thousand square feet. 250 00:11:27,080 --> 00:11:30,920 Speaker 2: It's a cross the seahouse. It's cozy three three one 251 00:11:31,080 --> 00:11:33,720 Speaker 2: three four, all right. I mean, you know they're. 252 00:11:33,679 --> 00:11:38,520 Speaker 5: Living in some high rise Miami thing with all the high. 253 00:11:37,960 --> 00:11:40,360 Speaker 2: Then you got to play Miami Vice music exactly. 254 00:11:40,360 --> 00:11:42,319 Speaker 5: He's not doing the bungalow thing. 255 00:11:42,440 --> 00:11:45,160 Speaker 2: I okay, you know, I may I may have to 256 00:11:45,200 --> 00:11:46,240 Speaker 2: do a road trip down there. 257 00:11:46,320 --> 00:11:48,720 Speaker 5: Yeah, you know, span the Michael take care of us. 258 00:11:48,520 --> 00:11:52,040 Speaker 2: Michael, put me on the Harley and off we go. 259 00:11:52,480 --> 00:11:55,720 Speaker 2: Michael mcgloone, thank you so much. I'm a wonderful beginning 260 00:11:55,760 --> 00:11:58,880 Speaker 2: to the holiday season. McLoone, smarter than the average bar. 261 00:11:59,040 --> 00:12:01,679 Speaker 5: And all the people warming down to South Florida, all 262 00:12:01,720 --> 00:12:04,160 Speaker 5: the snow bunnies and some Mike can't get a reservation 263 00:12:04,240 --> 00:12:05,400 Speaker 5: in his restaurants anymore. 264 00:12:05,480 --> 00:12:07,800 Speaker 2: We're talking to New York City people, and New Wave 265 00:12:08,000 --> 00:12:08,640 Speaker 2: going down. 266 00:12:08,679 --> 00:12:10,800 Speaker 5: Made all the people coming down for the most time, 267 00:12:11,120 --> 00:12:13,720 Speaker 5: I don't know, can't get a parking spot anymore. 268 00:12:13,640 --> 00:12:24,880 Speaker 2: Stay with us. More from Bloomberg Surveillance coming up after this. 269 00:12:24,880 --> 00:12:28,800 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 270 00:12:28,840 --> 00:12:32,240 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 271 00:12:32,280 --> 00:12:35,240 Speaker 1: with the Bloomberg Business App. You can also listen live 272 00:12:35,320 --> 00:12:38,880 Speaker 1: on Amazon Alexa from our flagship New York station, Just 273 00:12:38,920 --> 00:12:41,439 Speaker 1: say Alexa play Bloomberg eleven thirty. 274 00:12:41,640 --> 00:12:44,360 Speaker 2: She has been more than patient. Rayan Mittrion is a 275 00:12:44,480 --> 00:12:46,959 Speaker 2: Callen Family Office schedule to be with us a few 276 00:12:47,040 --> 00:12:49,760 Speaker 2: days ago, and there was this breaking news of that 277 00:12:49,840 --> 00:12:52,679 Speaker 2: breaking news, and we had to say see her right now. 278 00:12:52,679 --> 00:12:56,280 Speaker 2: We celebrate Ryan Mettrion with us. Do you have a 279 00:12:56,360 --> 00:13:00,960 Speaker 2: clear vision Ryan, for Callen Family Office into next year? 280 00:13:03,640 --> 00:13:08,680 Speaker 8: We're relatively optimistic. There's a lot to feel good about. 281 00:13:08,840 --> 00:13:12,160 Speaker 8: I mean, earnings have been incredibly strong, you know, we're 282 00:13:12,200 --> 00:13:15,120 Speaker 8: just wrapping up the fourth Street quarter of double digit earnings. 283 00:13:15,160 --> 00:13:15,480 Speaker 2: Growth. 284 00:13:16,000 --> 00:13:20,320 Speaker 8: Spending has been strong, especially obviously as related to AI, 285 00:13:20,600 --> 00:13:23,400 Speaker 8: and that has been providing a huge tailwind to stocks. 286 00:13:23,440 --> 00:13:27,080 Speaker 8: And we have a generally dubbish bed. So all of 287 00:13:27,120 --> 00:13:30,959 Speaker 8: that helps us to think that we should still continue 288 00:13:31,000 --> 00:13:34,720 Speaker 8: to see some upside possibility for equities going into next year. 289 00:13:34,880 --> 00:13:39,319 Speaker 2: How does tech lead tech? 290 00:13:39,400 --> 00:13:42,120 Speaker 8: I mean, tech has been incredibly strong right over the 291 00:13:42,200 --> 00:13:44,360 Speaker 8: last couple of years, and we've seen this since the 292 00:13:44,400 --> 00:13:48,400 Speaker 8: April lows and now we're getting a little bit of volatility, 293 00:13:48,480 --> 00:13:52,240 Speaker 8: which is healthy, but there continues to be a lot 294 00:13:52,280 --> 00:13:54,280 Speaker 8: of strength in that sector. I mean, we see these 295 00:13:54,360 --> 00:13:58,319 Speaker 8: hyperscalers that are spending these incredible amounts of CAPEX to 296 00:13:59,040 --> 00:14:02,040 Speaker 8: build out their AI infrastructure. That's going to have a 297 00:14:02,360 --> 00:14:06,120 Speaker 8: huge demand, and really that's such a big part of 298 00:14:06,120 --> 00:14:09,280 Speaker 8: the market that as long as those companies continue to 299 00:14:09,280 --> 00:14:11,640 Speaker 8: do well and we see that demand held up, it 300 00:14:11,720 --> 00:14:13,640 Speaker 8: should continue to help the tech side, don't you? 301 00:14:13,679 --> 00:14:16,120 Speaker 2: Said Lori Keviscino was the interview of the day. I'm sorry, 302 00:14:16,200 --> 00:14:18,920 Speaker 2: Ryan's killing it, Paul. I know because this is a 303 00:14:19,080 --> 00:14:24,400 Speaker 2: tone I hear from people her in the trenches. Her 304 00:14:24,520 --> 00:14:28,480 Speaker 2: belief and conviction in the market is a lot of 305 00:14:28,520 --> 00:14:30,080 Speaker 2: what I hear of people. 306 00:14:30,080 --> 00:14:32,520 Speaker 5: Well, she's a graduate of Vanderbilt, so she's riding high 307 00:14:32,520 --> 00:14:35,560 Speaker 5: a long with Damian Sassar and the football team at Vanderbilt. 308 00:14:36,080 --> 00:14:38,560 Speaker 5: But technology ran I'm just looking at your notes, and 309 00:14:38,600 --> 00:14:41,480 Speaker 5: you laid out so clearly. In Vidia's eight percent of 310 00:14:41,520 --> 00:14:43,760 Speaker 5: the S and P five hundred and megacap Tech is 311 00:14:43,800 --> 00:14:47,160 Speaker 5: almost forty percent of the index. So if you're constructive 312 00:14:47,200 --> 00:14:49,400 Speaker 5: on the market, you got to be constructive on tech. 313 00:14:49,480 --> 00:14:52,600 Speaker 5: Is that kind of where you guys, are you really do? 314 00:14:52,720 --> 00:14:55,200 Speaker 8: I mean, because if those companies are struggling, the broader 315 00:14:55,240 --> 00:14:58,320 Speaker 8: market is going to struggle. Now that being said, we 316 00:14:58,360 --> 00:15:01,480 Speaker 8: do want to have diversify exposure and we want to have, 317 00:15:01,880 --> 00:15:05,720 Speaker 8: you know, investments in other areas as well, because these 318 00:15:05,760 --> 00:15:08,920 Speaker 8: can can move the market so quickly, as we've certainly seen. 319 00:15:09,200 --> 00:15:11,600 Speaker 8: But you have to have the exposure or you've been 320 00:15:11,640 --> 00:15:12,560 Speaker 8: missing out. 321 00:15:13,640 --> 00:15:17,160 Speaker 5: How else do we think about these equity marketchare ran 322 00:15:17,320 --> 00:15:21,680 Speaker 5: outside of technology? Are there sectors that screenwall for you? 323 00:15:21,720 --> 00:15:23,920 Speaker 5: Are there factors that screenwall for you? 324 00:15:25,840 --> 00:15:27,720 Speaker 7: I mean, we want to have we want to. 325 00:15:27,680 --> 00:15:31,600 Speaker 8: Have exposure exposure broadly. We've certainly seen tech do well. 326 00:15:31,640 --> 00:15:34,840 Speaker 8: We've certainly seen utilities and industrials do well in their 327 00:15:34,880 --> 00:15:38,280 Speaker 8: ties to all this data center spending. We want to 328 00:15:38,280 --> 00:15:42,760 Speaker 8: have exposure to financials is another area. But I mean 329 00:15:42,800 --> 00:15:44,440 Speaker 8: we want to we want to have exposure on the 330 00:15:44,520 --> 00:15:46,920 Speaker 8: value side of things. We want to have small cap exposure, 331 00:15:46,960 --> 00:15:49,400 Speaker 8: and we want to have international exposure. I mean international 332 00:15:49,480 --> 00:15:53,240 Speaker 8: has really outperformed us so far this year, mostly due 333 00:15:53,240 --> 00:15:55,400 Speaker 8: to a weeker dollar, but we do want to have 334 00:15:55,440 --> 00:15:56,880 Speaker 8: exposure in all those areas. 335 00:15:57,160 --> 00:16:01,680 Speaker 2: Uh Riyan mitre On with Ush's partnered Hell and Family Office, 336 00:16:02,120 --> 00:16:05,200 Speaker 2: I'm curious into the you know, with all the success 337 00:16:05,240 --> 00:16:07,960 Speaker 2: of this bull market at a family and office, do 338 00:16:08,000 --> 00:16:11,840 Speaker 2: you have a pressure to over diversify or is it 339 00:16:12,040 --> 00:16:15,920 Speaker 2: under diversification. We're the more focus, more bet on a 340 00:16:15,960 --> 00:16:20,200 Speaker 2: given idea. You know, it really depends. 341 00:16:20,280 --> 00:16:23,080 Speaker 8: We have the ability because we're working with ultra high 342 00:16:23,080 --> 00:16:26,760 Speaker 8: net worth investors that really have a multi generational focus, 343 00:16:27,560 --> 00:16:30,360 Speaker 8: so we can be more aggressive, we can take some 344 00:16:30,440 --> 00:16:34,160 Speaker 8: of those bets because these clients don't necessarily need those 345 00:16:34,280 --> 00:16:36,840 Speaker 8: funds near term because of the level of wealth that 346 00:16:36,880 --> 00:16:39,920 Speaker 8: they have. But we do tend to diversify, and we 347 00:16:40,000 --> 00:16:43,120 Speaker 8: have the ability to get into parts of the market 348 00:16:43,200 --> 00:16:46,680 Speaker 8: that some traditional investors may not be able to get into. 349 00:16:46,920 --> 00:16:49,400 Speaker 8: When you're looking at private markets and hedge funds and 350 00:16:49,440 --> 00:16:52,600 Speaker 8: different types of things that allow us to complement our 351 00:16:52,640 --> 00:16:56,400 Speaker 8: traditional portfolios. So that's been, you know, something that we 352 00:16:56,440 --> 00:16:59,600 Speaker 8: can do, but it's I wouldn't say that there's pressure, 353 00:16:59,640 --> 00:17:01,760 Speaker 8: but there's certainly a lot of opportunity, and we do 354 00:17:01,840 --> 00:17:02,880 Speaker 8: believe in diversification. 355 00:17:03,160 --> 00:17:05,199 Speaker 2: I mean, Paul, chastise me because I haven't brought this 356 00:17:05,320 --> 00:17:08,240 Speaker 2: up today. If you brought in, if you bought in 357 00:17:08,320 --> 00:17:13,480 Speaker 2: rather to public or private credit, I mean alternative investments 358 00:17:13,760 --> 00:17:15,520 Speaker 2: or do you guys stay a mile wide of that. 359 00:17:16,920 --> 00:17:19,320 Speaker 8: No, we certainly have exposure there. I mean, we do 360 00:17:19,359 --> 00:17:22,080 Speaker 8: have traditional bond allocations. A lot of our investors are 361 00:17:22,080 --> 00:17:24,040 Speaker 8: in high tax brackets, so a lot of it's in 362 00:17:24,200 --> 00:17:27,560 Speaker 8: UNI bonds and UNI high yield, but we do we 363 00:17:27,600 --> 00:17:30,960 Speaker 8: do invest in private credit, and there is a lot 364 00:17:30,960 --> 00:17:32,960 Speaker 8: of hype around there, and you want to make sure 365 00:17:33,119 --> 00:17:35,480 Speaker 8: if you're investing, that you're investing with the right firm 366 00:17:35,520 --> 00:17:39,080 Speaker 8: in the right places because there could be some problems 367 00:17:39,119 --> 00:17:41,760 Speaker 8: going forward in that area. As with any investment, you 368 00:17:41,840 --> 00:17:44,000 Speaker 8: just want to make sure that you're with a high 369 00:17:44,119 --> 00:17:46,919 Speaker 8: quality firm and that because there can be such a 370 00:17:46,920 --> 00:17:50,879 Speaker 8: divergence in returns between the top and bottom quartile funds 371 00:17:50,920 --> 00:17:52,040 Speaker 8: in that type of space. 372 00:17:53,040 --> 00:17:56,119 Speaker 5: Ran your family office clients, what is their appetite for 373 00:17:56,280 --> 00:18:00,000 Speaker 5: alternative investments? 374 00:18:00,240 --> 00:18:03,440 Speaker 8: It varies, right, every investor is different, but our typical 375 00:18:03,560 --> 00:18:07,920 Speaker 8: allocation would include between twenty and twenty five percent in alternatives, 376 00:18:07,920 --> 00:18:11,159 Speaker 8: and that can be a small amount in hedge funds, 377 00:18:11,200 --> 00:18:16,120 Speaker 8: some credit oriented strategies or diversified multistrat funds that give 378 00:18:16,200 --> 00:18:18,080 Speaker 8: us different types of exposures that we can get in 379 00:18:18,119 --> 00:18:21,000 Speaker 8: the traditional markets, and then rounding that out with private equity, 380 00:18:21,040 --> 00:18:22,880 Speaker 8: private credit, private real estate. 381 00:18:22,760 --> 00:18:23,640 Speaker 7: Things like that. 382 00:18:23,800 --> 00:18:26,320 Speaker 8: I mean, historically you can get a three to five 383 00:18:26,359 --> 00:18:30,679 Speaker 8: percent premium over traditional equity returns in private equity, and 384 00:18:30,800 --> 00:18:33,480 Speaker 8: we have seen that it's additive to returns over time. 385 00:18:33,920 --> 00:18:35,680 Speaker 2: Are you going to Vanderbilt, Tennessee? 386 00:18:36,600 --> 00:18:39,239 Speaker 4: I mean, right, I wish I was. 387 00:18:39,520 --> 00:18:41,680 Speaker 8: If ever there was a year, this is the year, right. 388 00:18:42,160 --> 00:18:44,120 Speaker 7: You have to enjoy it well lasts. 389 00:18:44,200 --> 00:18:46,200 Speaker 8: So it's been a fun season, that's for sure. 390 00:18:46,440 --> 00:18:48,440 Speaker 2: Ran, thank you so much. Don't be a stranger. You 391 00:18:48,480 --> 00:18:51,280 Speaker 2: love to have you back, ryand Mitreon with this Callum 392 00:18:51,359 --> 00:18:55,440 Speaker 2: Family Office, stay with us. More from Bloomberg Surveillance coming 393 00:18:55,520 --> 00:19:03,560 Speaker 2: up after this. 394 00:19:03,560 --> 00:19:07,480 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 395 00:19:07,520 --> 00:19:10,560 Speaker 1: starting at seven am Eastern on Apple Coarplay and Android 396 00:19:10,560 --> 00:19:13,600 Speaker 1: Auto with the Bloomberg Business App. You can also listen 397 00:19:13,680 --> 00:19:16,920 Speaker 1: live on Amazon Alexa from our flagship New York station, 398 00:19:17,480 --> 00:19:21,640 Speaker 1: Just say Alexa Play Bloomberg eleven thirty a short visit. 399 00:19:21,600 --> 00:19:25,359 Speaker 2: Right now with enterag Rana, which should be a long visit. 400 00:19:25,400 --> 00:19:29,600 Speaker 2: He is definitive on cloud, definitive on what these companies 401 00:19:29,600 --> 00:19:33,440 Speaker 2: are doing, and a RAG Over the weekend, the consensus 402 00:19:33,560 --> 00:19:39,520 Speaker 2: view was Google Gemini three was a home run over 403 00:19:39,600 --> 00:19:42,920 Speaker 2: the Fenway Wall, over the Turnpike, over the cask and 404 00:19:43,040 --> 00:19:49,360 Speaker 2: Flagon helping a home run for Google was Gemini three. Now, 405 00:19:49,400 --> 00:19:50,320 Speaker 2: I think it's a big deal. 406 00:19:50,359 --> 00:19:51,920 Speaker 9: I mean, you could see the stock of the acting 407 00:19:51,920 --> 00:19:54,040 Speaker 9: today and one of the things we talk about in 408 00:19:54,080 --> 00:19:57,080 Speaker 9: our notes today is that Apple is actually going to 409 00:19:57,720 --> 00:20:01,080 Speaker 9: use one of their models for CD upcoming release. I 410 00:20:01,080 --> 00:20:03,480 Speaker 9: think that's a very good deal for Apple. They don't 411 00:20:03,520 --> 00:20:05,080 Speaker 9: even have to pay as much. I mean they're going 412 00:20:05,119 --> 00:20:07,200 Speaker 9: to pay probably around a billion dollars a year for it. 413 00:20:07,640 --> 00:20:10,880 Speaker 9: And you know that's so it is very clear now 414 00:20:10,960 --> 00:20:13,560 Speaker 9: that it's not going to be Open AI taking everything. 415 00:20:13,840 --> 00:20:16,480 Speaker 9: It is going to be spread across multiple models, and 416 00:20:16,560 --> 00:20:18,320 Speaker 9: I think that's I think the big takeaway for all 417 00:20:18,359 --> 00:20:19,840 Speaker 9: of us is this the. 418 00:20:19,800 --> 00:20:21,120 Speaker 2: Apple AI play. 419 00:20:21,200 --> 00:20:25,200 Speaker 5: Then Ana raghas is to partner up with existing players 420 00:20:25,240 --> 00:20:27,119 Speaker 5: and say that's it, that's our play. 421 00:20:28,200 --> 00:20:29,639 Speaker 2: Yeah, and Paul, we just say, you know. 422 00:20:29,720 --> 00:20:32,080 Speaker 9: One of the notes that we published today basically shows 423 00:20:32,320 --> 00:20:35,919 Speaker 9: that Apple's capital expenditures as a percentage of sale is 424 00:20:35,960 --> 00:20:39,159 Speaker 9: merely at three percent, compared to Microsoft at forty percent. 425 00:20:39,400 --> 00:20:41,639 Speaker 9: And what Apple is saying is, you guys, fight it 426 00:20:41,680 --> 00:20:43,640 Speaker 9: out and tell me who has the best model. I'm 427 00:20:43,640 --> 00:20:45,120 Speaker 9: going to just use it in the end and I'll 428 00:20:45,160 --> 00:20:46,600 Speaker 9: pay you, you know, if you're lucky. 429 00:20:47,960 --> 00:20:50,960 Speaker 5: All right, So what's the next data point you're looking 430 00:20:51,000 --> 00:20:53,240 Speaker 5: for on this AI play? We had the really good 431 00:20:53,320 --> 00:20:57,399 Speaker 5: numbers out of in Vidia. What's the next when you 432 00:20:57,480 --> 00:20:59,560 Speaker 5: talk to your institutional investor clients, what's the next kind 433 00:20:59,560 --> 00:21:01,439 Speaker 5: of data point milepost for you guys. 434 00:21:02,560 --> 00:21:04,280 Speaker 9: I think one of the things we have to do 435 00:21:04,440 --> 00:21:08,560 Speaker 9: is look at the application of AI models across all verticals, 436 00:21:08,880 --> 00:21:09,680 Speaker 9: different sectors. 437 00:21:09,720 --> 00:21:10,480 Speaker 2: What are they doing. 438 00:21:10,560 --> 00:21:14,240 Speaker 9: What is the final game for banks, for hospitals, Because 439 00:21:14,680 --> 00:21:18,320 Speaker 9: everybody understands the AI infrastructure play and what's happening over there, 440 00:21:18,440 --> 00:21:20,720 Speaker 9: but what is the use case? And that's where I 441 00:21:20,720 --> 00:21:23,000 Speaker 9: think the digestion is going to take some time, whether 442 00:21:23,040 --> 00:21:25,240 Speaker 9: it's all of twenty six or maybe twenty six and 443 00:21:25,280 --> 00:21:25,840 Speaker 9: twenty seven. 444 00:21:26,320 --> 00:21:29,040 Speaker 2: So what are you watching for into the end of 445 00:21:29,080 --> 00:21:32,520 Speaker 2: the year, into the first weeks of January and are 446 00:21:33,840 --> 00:21:38,119 Speaker 2: within this AI like, where is the revenue going to 447 00:21:38,200 --> 00:21:41,320 Speaker 2: come from? Is that a study you're having with your team. 448 00:21:42,160 --> 00:21:44,680 Speaker 9: Yeah, so the revenue is going to come from enterprise 449 00:21:44,720 --> 00:21:48,359 Speaker 9: applications so big you could say Fortune two thousand companies, 450 00:21:48,440 --> 00:21:51,560 Speaker 9: when they're going to take their applications their core business 451 00:21:51,600 --> 00:21:55,359 Speaker 9: and add more AI capabilities within that. That's you know, 452 00:21:55,400 --> 00:21:57,639 Speaker 9: But the thing is, unlike just going out and getting 453 00:21:57,680 --> 00:22:00,040 Speaker 9: a consumer app there is usually going to be a 454 00:22:00,040 --> 00:22:03,919 Speaker 9: a long tail or a while when enterprises add that 455 00:22:04,080 --> 00:22:07,520 Speaker 9: particular capability. Now, I think throughout the year we're going 456 00:22:07,560 --> 00:22:10,880 Speaker 9: to see moderate pickup in those applications. The big question 457 00:22:11,000 --> 00:22:13,840 Speaker 9: right now is what happens to the air infrastructure build 458 00:22:14,080 --> 00:22:16,199 Speaker 9: And one of the things we have been talking about is, 459 00:22:16,600 --> 00:22:18,880 Speaker 9: you know, when it comes to the hyperskale cloud provider, 460 00:22:19,000 --> 00:22:22,040 Speaker 9: whether that's Amazon, Microsoft, or Google, we're really not that 461 00:22:22,160 --> 00:22:25,760 Speaker 9: concerned about them overbuilding. But because even if let's say 462 00:22:25,800 --> 00:22:27,840 Speaker 9: they overbuild and they don't have to do anything for 463 00:22:27,880 --> 00:22:30,920 Speaker 9: the next one or two years, their core business will 464 00:22:30,920 --> 00:22:34,320 Speaker 9: take care of that build of infrastructure. That's not true 465 00:22:34,359 --> 00:22:35,919 Speaker 9: for somebody like an OpenAI me. 466 00:22:36,000 --> 00:22:38,160 Speaker 2: No longer visit in RUG around, Thank you so much 467 00:22:38,200 --> 00:22:42,560 Speaker 2: with Bloomberg Intelligence just world class technology analysis. 468 00:22:43,040 --> 00:22:47,879 Speaker 1: This is the Bloomberg Surveillance Podcast, available on Apple, Spotify, 469 00:22:48,000 --> 00:22:52,280 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 470 00:22:52,400 --> 00:22:55,879 Speaker 1: seven to ten am Eastern on Bloomberg dot com, the 471 00:22:55,960 --> 00:23:00,080 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 472 00:23:00,119 --> 00:23:03,399 Speaker 1: can also watch us live every weekday on YouTube and 473 00:23:03,600 --> 00:23:05,320 Speaker 1: always on the Bloomberg terminal