1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:18,560 Speaker 1: Eastern on Applecarclay and Android Auto with the Bloomberg Business App. 4 00:00:18,680 --> 00:00:21,880 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:22,000 --> 00:00:23,120 Speaker 1: us live on YouTube. 6 00:00:24,040 --> 00:00:26,759 Speaker 2: Here's some news out on the tech side that got 7 00:00:26,760 --> 00:00:28,960 Speaker 2: my attention. I got the attention of the marketplace Oracle, 8 00:00:29,320 --> 00:00:32,360 Speaker 2: our good friends therea They signed a cloud service deal 9 00:00:32,960 --> 00:00:35,760 Speaker 2: that could be worth thirty billion dollars a year. I said, 10 00:00:35,800 --> 00:00:37,519 Speaker 2: we got to get on Ograno on this because this 11 00:00:37,880 --> 00:00:40,479 Speaker 2: cloud story, this AI story, is just a story that 12 00:00:40,520 --> 00:00:44,320 Speaker 2: continues to give to investors on Rograna, Technology analyst for 13 00:00:44,440 --> 00:00:47,400 Speaker 2: Bloomberg Intelligence Joints is here ONROK tell us about this 14 00:00:47,760 --> 00:00:49,360 Speaker 2: Oracle deal. Here. What's happening? 15 00:00:50,280 --> 00:00:52,519 Speaker 3: Yeah, I think it caught everybody by surprise. Now, we 16 00:00:52,640 --> 00:00:55,280 Speaker 3: knew that this was going to happen sometime over the 17 00:00:55,280 --> 00:00:57,080 Speaker 3: next six to twelve months, but we didn't know what 18 00:00:57,200 --> 00:00:59,720 Speaker 3: happened so quickly. We think this is part of the 19 00:00:59,760 --> 00:01:02,640 Speaker 3: Starfate contract. This is something that's going to flow from 20 00:01:02,960 --> 00:01:07,040 Speaker 3: open Ai. You know, the combination between soft Bank, Oracle 21 00:01:07,120 --> 00:01:09,319 Speaker 3: and open Ai. So if you remember, there was a 22 00:01:09,319 --> 00:01:11,560 Speaker 3: big deal, you know, just I think a day or 23 00:01:11,560 --> 00:01:15,120 Speaker 3: two after the president took office where Larry Allison and 24 00:01:15,160 --> 00:01:17,840 Speaker 3: you know, got on TV and talked about it. I 25 00:01:18,080 --> 00:01:20,480 Speaker 3: you know, we think this is a byproduct of that. 26 00:01:21,920 --> 00:01:25,320 Speaker 4: How is Oracle matching up with its competitors? I mean, 27 00:01:25,360 --> 00:01:28,440 Speaker 4: I know it's gained traction for renting out computing power 28 00:01:28,480 --> 00:01:30,480 Speaker 4: over the Internet, and of course it's been targeting a 29 00:01:30,520 --> 00:01:33,720 Speaker 4: lot of its clients that are focused on AI there. 30 00:01:33,880 --> 00:01:36,600 Speaker 4: But how does it look in comparison to peers? 31 00:01:37,319 --> 00:01:39,480 Speaker 3: Yeah, I think you know, it was really I mean 32 00:01:39,560 --> 00:01:41,520 Speaker 3: go back a few years. It was, you know, to 33 00:01:41,600 --> 00:01:44,520 Speaker 3: be honest, non existent about three years ago. So the 34 00:01:44,600 --> 00:01:47,480 Speaker 3: revenue was, you know, just a handful of billion dollars 35 00:01:47,560 --> 00:01:50,200 Speaker 3: or so compared to you know, somebody like an AWS 36 00:01:50,240 --> 00:01:52,280 Speaker 3: which is now running at a rounderd of over one 37 00:01:52,320 --> 00:01:55,240 Speaker 3: hundred billion dollars. So, but this, if you look at it, 38 00:01:55,320 --> 00:01:59,880 Speaker 3: in last year alone, oracles infrastructure as a service business, 39 00:02:00,000 --> 00:02:02,000 Speaker 3: which is what we look as the proxy for their 40 00:02:02,040 --> 00:02:05,960 Speaker 3: cloud infrastructure business, had revenues off about ten billion dollars. 41 00:02:06,120 --> 00:02:09,160 Speaker 3: So and then here comes a contract that in three 42 00:02:09,240 --> 00:02:12,320 Speaker 3: years and you know, they will have thirty billion dollars 43 00:02:12,360 --> 00:02:15,480 Speaker 3: annually from one just one customer. So you could see 44 00:02:15,680 --> 00:02:19,120 Speaker 3: just the overall what's happening with AI? What does really 45 00:02:19,200 --> 00:02:22,720 Speaker 3: need so much of computing power to run these models? 46 00:02:23,000 --> 00:02:25,640 Speaker 3: And this is you know again they are going everywhere, 47 00:02:25,680 --> 00:02:28,120 Speaker 3: But Oracle is you know, one of the bigger beneficiaries 48 00:02:28,160 --> 00:02:28,800 Speaker 3: over here. 49 00:02:29,360 --> 00:02:33,080 Speaker 2: Rich go rich, the world's richest people. Larry Ellison of 50 00:02:33,240 --> 00:02:36,519 Speaker 2: Oracle clocks in a number four two hundred and twenty 51 00:02:36,600 --> 00:02:41,400 Speaker 2: nine billion dollars, up thirty seven billion dollars year to date, 52 00:02:42,360 --> 00:02:44,720 Speaker 2: the stock is up fifty two week high, an A 53 00:02:44,800 --> 00:02:48,920 Speaker 2: rackets at an all time high. What's the bookcase for 54 00:02:49,000 --> 00:02:53,240 Speaker 2: Oracle here? It's just just another way to play cloud 55 00:02:53,280 --> 00:02:54,960 Speaker 2: slash AI. 56 00:02:55,720 --> 00:02:58,720 Speaker 3: Yeah, so that's the bookcase. Definitely on that end, you 57 00:02:58,720 --> 00:03:01,080 Speaker 3: could see the gro thrates are going to pick up 58 00:03:01,120 --> 00:03:03,239 Speaker 3: so much more than any of the other cloud providers, 59 00:03:03,400 --> 00:03:06,280 Speaker 3: and partially because they're you know, the numbers are too small. 60 00:03:06,320 --> 00:03:08,560 Speaker 3: As I said, they're only at about ten billion run 61 00:03:08,680 --> 00:03:10,680 Speaker 3: rate or so in this case at this point. So 62 00:03:11,160 --> 00:03:13,280 Speaker 3: that's one. But on the other side, you know, they 63 00:03:13,320 --> 00:03:15,640 Speaker 3: will have to spend a lot on capex right now, 64 00:03:15,880 --> 00:03:18,680 Speaker 3: so that capex number is going to go up margins 65 00:03:18,720 --> 00:03:21,360 Speaker 3: are going to most likely take ahead. But frankly speaking, 66 00:03:21,400 --> 00:03:24,240 Speaker 3: in this market right now, it's all about market share 67 00:03:24,280 --> 00:03:27,720 Speaker 3: gains and which of the companies can actually benefit from 68 00:03:27,760 --> 00:03:31,760 Speaker 3: all these large language model training or inference. Basically, you 69 00:03:31,800 --> 00:03:33,639 Speaker 3: know they are you know, they're going everywhere. I mean 70 00:03:33,639 --> 00:03:36,320 Speaker 3: look at for example, code Weep their growth rate. The 71 00:03:36,520 --> 00:03:39,800 Speaker 3: SAME's the case with Microsoft, Azure or EWS. I mean, 72 00:03:39,880 --> 00:03:42,680 Speaker 3: everybody in this particular ecosystem is going to make lots 73 00:03:42,720 --> 00:03:43,120 Speaker 3: of money. 74 00:03:43,840 --> 00:03:46,080 Speaker 4: We know, expectations remain high for a lot of these 75 00:03:46,080 --> 00:03:49,200 Speaker 4: tech firms, especially as we think about the AI push. 76 00:03:49,240 --> 00:03:51,120 Speaker 4: What do investors want to see right now? What's the 77 00:03:51,160 --> 00:03:52,480 Speaker 4: next step for Oracle? 78 00:03:53,680 --> 00:03:55,840 Speaker 3: I think a lot of this would become to execution 79 00:03:55,960 --> 00:03:58,040 Speaker 3: in this case, because you know, this is we are 80 00:03:58,080 --> 00:04:02,240 Speaker 3: assuming flawless execution in terms of data centered expansion. But 81 00:04:02,280 --> 00:04:04,000 Speaker 3: what if they are not able to get enough power 82 00:04:04,040 --> 00:04:06,120 Speaker 3: in there out there? I mean, what if we get 83 00:04:06,120 --> 00:04:08,080 Speaker 3: into a shortage in that area. So there's going to 84 00:04:08,080 --> 00:04:10,200 Speaker 3: be a lot to you know, I would say ups 85 00:04:10,240 --> 00:04:12,840 Speaker 3: and downs, not just for article, but everybody in the 86 00:04:12,880 --> 00:04:16,760 Speaker 3: equation where maybe the project gets delayed some funding issues. 87 00:04:17,200 --> 00:04:19,720 Speaker 3: Right now, everything is fine when it comes to funding 88 00:04:19,760 --> 00:04:22,560 Speaker 3: for these particular projects, but you know, those are the 89 00:04:22,600 --> 00:04:24,840 Speaker 3: things that we will watch for. But other than that, 90 00:04:24,960 --> 00:04:27,520 Speaker 3: I think the future is pretty bright for all the 91 00:04:27,520 --> 00:04:30,960 Speaker 3: cloud providers because of the workloads that are coming in. 92 00:04:31,680 --> 00:04:33,760 Speaker 2: And Rok Rana, thank you so much. We appreciate it. 93 00:04:33,920 --> 00:04:37,520 Speaker 2: A Ron Rana. He's a technology analyst for Bloomberg Intelligence. 94 00:04:38,000 --> 00:04:40,320 Speaker 2: Joining us via zoom from Chicago. 95 00:04:42,279 --> 00:04:46,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 96 00:04:46,080 --> 00:04:49,440 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 97 00:04:49,560 --> 00:04:52,640 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 98 00:04:52,680 --> 00:04:55,680 Speaker 1: get your podcasts, or watch us live on YouTube. 99 00:04:56,320 --> 00:04:58,400 Speaker 2: All right, we all know about the AI story. The 100 00:04:58,440 --> 00:05:02,080 Speaker 2: tech industry is spending get jillions of dollars building up 101 00:05:02,080 --> 00:05:04,240 Speaker 2: their computing power their data centers. But you know what, 102 00:05:04,800 --> 00:05:07,960 Speaker 2: Apparently you have to power those data centers and that's 103 00:05:08,000 --> 00:05:10,680 Speaker 2: a huge demand on the grid. So everybody's trying to 104 00:05:10,680 --> 00:05:12,719 Speaker 2: figure out how are they going to do that. One 105 00:05:12,800 --> 00:05:15,240 Speaker 2: topic is nuclear, Believe it or not, Nuclear is being 106 00:05:15,279 --> 00:05:17,760 Speaker 2: considered heavily as a source of power for a lot 107 00:05:17,800 --> 00:05:20,080 Speaker 2: of these data centers. Our next guest is an expert here, 108 00:05:20,080 --> 00:05:25,680 Speaker 2: Stephanie Diaz, Senior Associate at BNF Okay, I was alive. 109 00:05:25,760 --> 00:05:28,400 Speaker 2: I was in high school with three Mile Island blew 110 00:05:28,440 --> 00:05:30,720 Speaker 2: a gasket and we had to go home from boarding 111 00:05:30,800 --> 00:05:34,040 Speaker 2: school talk to us about nuclear Where are we as 112 00:05:34,040 --> 00:05:36,600 Speaker 2: a country today with nuclear power and how can that 113 00:05:36,680 --> 00:05:39,520 Speaker 2: perhaps be a solution to some of the energy needs 114 00:05:39,560 --> 00:05:40,000 Speaker 2: of AI. 115 00:05:40,480 --> 00:05:43,960 Speaker 5: Yeah, So, currently we have roughly one hundred gigawatts of 116 00:05:44,040 --> 00:05:48,840 Speaker 5: nuclear installed in the US, and we haven't been building 117 00:05:48,920 --> 00:05:52,239 Speaker 5: much nuclear. We've built a couple of nuclear reactors in Georgia, 118 00:05:52,279 --> 00:05:54,080 Speaker 5: those are the last two, but we currently don't have 119 00:05:54,160 --> 00:05:57,960 Speaker 5: any under construction here in the US. Their hopes is 120 00:05:57,960 --> 00:06:00,400 Speaker 5: that that would change. The Trump administration, for example, has 121 00:06:00,440 --> 00:06:04,000 Speaker 5: an ambitious target to basically quadruple our nuclear fleet by 122 00:06:04,040 --> 00:06:08,320 Speaker 5: twenty fifty. Getting there will be quite challenging, though, considering 123 00:06:08,360 --> 00:06:11,440 Speaker 5: we really haven't built up the capacity to build on 124 00:06:11,520 --> 00:06:12,560 Speaker 5: that sort of scale yet. 125 00:06:13,360 --> 00:06:16,080 Speaker 4: So where are we in comparison to outside of the 126 00:06:16,160 --> 00:06:17,680 Speaker 4: US right now? Because I know we don't have a 127 00:06:17,680 --> 00:06:20,000 Speaker 4: lot of nuclear here, he mentioned. 128 00:06:20,000 --> 00:06:22,280 Speaker 5: Well, when we say we don't have a lot, I 129 00:06:22,279 --> 00:06:24,480 Speaker 5: think we actually have one of the biggest nuclear fleets 130 00:06:24,480 --> 00:06:26,720 Speaker 5: in the world. If I'm not mistaken. It's more of 131 00:06:26,760 --> 00:06:30,160 Speaker 5: a we haven't really been building much so it's really 132 00:06:30,200 --> 00:06:32,080 Speaker 5: hard to see how we all of a sudden start 133 00:06:32,080 --> 00:06:34,599 Speaker 5: flexing that muscle to build on that sort of scale. 134 00:06:35,040 --> 00:06:36,560 Speaker 2: I'll tell you what I like for the nuclear I've 135 00:06:36,560 --> 00:06:40,120 Speaker 2: heard this story a few times is a modular nuclear 136 00:06:40,160 --> 00:06:42,680 Speaker 2: things little? What are they and how do they work? 137 00:06:43,000 --> 00:06:45,599 Speaker 5: Yeah, so one of the a couple of well, there 138 00:06:45,600 --> 00:06:47,280 Speaker 5: are dozens of startups out there that are trying to 139 00:06:47,320 --> 00:06:50,840 Speaker 5: come up with new nuclear technologies. The majority of the 140 00:06:50,880 --> 00:06:54,080 Speaker 5: fleet that's out there globally is these large light water reactors. 141 00:06:54,600 --> 00:06:56,719 Speaker 5: What you're talking about is small modular reactors. And the 142 00:06:56,760 --> 00:06:59,920 Speaker 5: idea is that we can make nuclear reactors that are 143 00:07:00,080 --> 00:07:02,960 Speaker 5: much smaller, with the hopes that we can one require 144 00:07:03,040 --> 00:07:05,279 Speaker 5: less capital to build a reactor and two maybe be 145 00:07:05,320 --> 00:07:07,800 Speaker 5: able to do it faster and therefore overall be able 146 00:07:07,800 --> 00:07:11,120 Speaker 5: to deploy on a much bigger scale. The companies that 147 00:07:11,200 --> 00:07:13,560 Speaker 5: are doing that, I mean, there are dozens of them 148 00:07:13,600 --> 00:07:16,960 Speaker 5: out there, and they're currently trying to work with the 149 00:07:17,080 --> 00:07:19,880 Speaker 5: US Nuclear Regulatory Commission to get their designs approved so 150 00:07:19,880 --> 00:07:22,320 Speaker 5: that they can start constructing these as well. 151 00:07:22,800 --> 00:07:25,160 Speaker 4: So can you speak a little bit more about Trump's 152 00:07:25,160 --> 00:07:28,720 Speaker 4: ambitious plan here in regards to pushing this forward? Is 153 00:07:28,720 --> 00:07:31,040 Speaker 4: that different than the previous administration. 154 00:07:31,400 --> 00:07:34,400 Speaker 5: It is different from the previous administration. Biden already had 155 00:07:34,520 --> 00:07:37,880 Speaker 5: what we have been considered an ambitious plan for increasing 156 00:07:37,960 --> 00:07:42,320 Speaker 5: nuclear and Trump's school of four gigle or four hundred 157 00:07:42,360 --> 00:07:46,000 Speaker 5: giggawatts by twenty fifty is even more ambitious. One of 158 00:07:46,040 --> 00:07:48,240 Speaker 5: the things that the Trump administration has done is at 159 00:07:48,240 --> 00:07:51,600 Speaker 5: the end of May they issued for executive orders all 160 00:07:52,000 --> 00:07:55,240 Speaker 5: aiming to help bring nuclear online much more quickly in 161 00:07:55,440 --> 00:07:59,120 Speaker 5: a couple of ways. Mainly it's by expediting the regulatory 162 00:07:59,160 --> 00:08:01,800 Speaker 5: review of nuclear reactors. So currently you can take three 163 00:08:01,840 --> 00:08:05,400 Speaker 5: to six years to get through that regulatory gauntlet, and 164 00:08:05,440 --> 00:08:08,480 Speaker 5: the administration wants to bring that down to eighteen months 165 00:08:08,520 --> 00:08:11,120 Speaker 5: for all the different pathways. How they actually go about 166 00:08:11,120 --> 00:08:13,040 Speaker 5: doing that remains to be seen, though it's one thing 167 00:08:13,080 --> 00:08:14,560 Speaker 5: to say we can do this in eighteen months. It's 168 00:08:14,560 --> 00:08:17,960 Speaker 5: another to actually do it. You need to rewrite some rules, 169 00:08:17,960 --> 00:08:22,160 Speaker 5: you need to have staff who can review these applications 170 00:08:22,200 --> 00:08:24,080 Speaker 5: as they come in. So it remains to be seen 171 00:08:24,120 --> 00:08:25,600 Speaker 5: how they want to do it. But there's definitely a 172 00:08:25,640 --> 00:08:29,600 Speaker 5: significant push from the Trump administration to bring nuclear online. 173 00:08:30,040 --> 00:08:31,920 Speaker 5: But of course it's not just having push from government. 174 00:08:31,920 --> 00:08:33,840 Speaker 5: We also need pull from markets. We need to see 175 00:08:33,840 --> 00:08:36,520 Speaker 5: more customers sign firm commitments to make sure that these 176 00:08:36,559 --> 00:08:37,480 Speaker 5: reactors get built. 177 00:08:38,000 --> 00:08:40,040 Speaker 2: So if when a Microsoft says they're going to spend 178 00:08:40,040 --> 00:08:42,480 Speaker 2: a jillion dollars on data centers, is any of that 179 00:08:42,840 --> 00:08:46,880 Speaker 2: allocated to powering these data centers or is it? Are 180 00:08:46,880 --> 00:08:49,520 Speaker 2: they relying upon utilities and existing grid and all that 181 00:08:49,559 --> 00:08:50,080 Speaker 2: kind of stuff. 182 00:08:50,240 --> 00:08:55,000 Speaker 5: No, we've seen not big tech companies. So Microsoft, Google, Amazon, 183 00:08:55,040 --> 00:08:58,880 Speaker 5: Metal all announced partnerships with different nuclear companies in order 184 00:08:58,960 --> 00:09:01,480 Speaker 5: to have power for all of these data centers. And 185 00:09:01,520 --> 00:09:03,600 Speaker 5: it's not just them, it's also lots of data center 186 00:09:03,640 --> 00:09:06,120 Speaker 5: providers of names that we often don't know, but they're 187 00:09:06,120 --> 00:09:10,559 Speaker 5: the ones who build data centers that other companies use Together, 188 00:09:10,720 --> 00:09:16,000 Speaker 5: they've been announcing something like thirty two gigawatts of nuclear 189 00:09:16,040 --> 00:09:18,400 Speaker 5: that they want to bring in here in the US 190 00:09:18,640 --> 00:09:21,400 Speaker 5: for context, thirty two gigawats in the US for just 191 00:09:21,480 --> 00:09:25,600 Speaker 5: data centers. Supposedly in the world currently we have sixty 192 00:09:25,640 --> 00:09:29,319 Speaker 5: five giggle watts of nuclear reactor of nuclear reactors under construction, 193 00:09:29,440 --> 00:09:33,760 Speaker 5: so they're talking about building a lot. So there's definitely 194 00:09:33,840 --> 00:09:36,520 Speaker 5: lots of them thinking about a big time companies thinking 195 00:09:36,520 --> 00:09:38,200 Speaker 5: about how they're going to power all of this, but 196 00:09:38,240 --> 00:09:39,720 Speaker 5: like I said, it still remains to be seen how 197 00:09:39,800 --> 00:09:41,960 Speaker 5: much of it actually comes online. Like I'll be more 198 00:09:42,000 --> 00:09:44,000 Speaker 5: excited when I see a construction permit get issue. 199 00:09:44,800 --> 00:09:48,840 Speaker 4: So where do clean energy advocates fit into this whole conversation? 200 00:09:50,000 --> 00:09:52,280 Speaker 4: Has there been a push against this at all? 201 00:09:52,679 --> 00:09:54,880 Speaker 5: Yeah, it's been interesting because nuclear for so long has 202 00:09:54,960 --> 00:09:57,240 Speaker 5: kind of been the pariah of clean energy, right of 203 00:09:57,280 --> 00:09:59,199 Speaker 5: like we know we can do it, but we haven't 204 00:09:59,200 --> 00:10:01,640 Speaker 5: done much of it. What we've seen in the last 205 00:10:01,640 --> 00:10:03,959 Speaker 5: couple of years has been a big shift towards thinking 206 00:10:03,960 --> 00:10:06,920 Speaker 5: more about clean base load power again, and that's why 207 00:10:07,000 --> 00:10:09,920 Speaker 5: nuclear and also geothermal have come back into the conversation. 208 00:10:10,120 --> 00:10:10,440 Speaker 2: Power. 209 00:10:10,559 --> 00:10:13,720 Speaker 5: Baseload power is basically think of it as like round 210 00:10:13,760 --> 00:10:16,640 Speaker 5: the clock power, So unlike solar and wind, which are 211 00:10:16,640 --> 00:10:18,839 Speaker 5: inherently intermitt and this is the stuff where like we 212 00:10:18,880 --> 00:10:20,360 Speaker 5: know we can run it as long as we want 213 00:10:20,360 --> 00:10:22,000 Speaker 5: to run it, right, like you take it down for 214 00:10:22,080 --> 00:10:25,559 Speaker 5: maintenance or something like that, but otherwise it can run constantly. 215 00:10:25,600 --> 00:10:29,760 Speaker 2: Interesting, So is nuclear considered a reliable from that perspective, 216 00:10:29,880 --> 00:10:30,920 Speaker 2: reliable source of energy? 217 00:10:31,000 --> 00:10:33,679 Speaker 5: Correct? Because it runs constantly basically. 218 00:10:33,280 --> 00:10:35,160 Speaker 2: And where's it like Norra suggesting it. Has there been 219 00:10:35,200 --> 00:10:38,000 Speaker 2: any I haven't heard any pushback from the anti nuke 220 00:10:38,160 --> 00:10:41,199 Speaker 2: people out there. Are they just kind of capitulating that 221 00:10:41,240 --> 00:10:43,360 Speaker 2: we're going to need all kinds of energy going forward? 222 00:10:43,440 --> 00:10:46,240 Speaker 5: Or I mean, I don't, I don't know about that. 223 00:10:46,360 --> 00:10:49,040 Speaker 5: I think maybe it's it's a little harder to I 224 00:10:49,040 --> 00:10:51,280 Speaker 5: don't know, be against something when we're well, like I said, 225 00:10:51,280 --> 00:10:53,800 Speaker 5: we're still in the announcement stage. We we have a 226 00:10:53,800 --> 00:10:56,079 Speaker 5: lot more work to do before we get to seeing 227 00:10:56,080 --> 00:10:58,440 Speaker 5: what actually comes online when plans get built and all 228 00:10:58,480 --> 00:10:58,680 Speaker 5: of that. 229 00:10:59,320 --> 00:11:01,240 Speaker 4: I mean, are there also just concerns when we think 230 00:11:01,240 --> 00:11:04,319 Speaker 4: about nuclear waste? You know, I think that when you 231 00:11:04,320 --> 00:11:06,719 Speaker 4: think about a lot of people pushing back, especially on 232 00:11:06,760 --> 00:11:09,440 Speaker 4: some of the bills that President Donald Trump is trying 233 00:11:09,520 --> 00:11:12,880 Speaker 4: to push and whatnot, how does that kind of come 234 00:11:12,880 --> 00:11:15,280 Speaker 4: into play, especially as you think about that against this 235 00:11:15,440 --> 00:11:16,560 Speaker 4: ambitious plan. 236 00:11:17,920 --> 00:11:20,600 Speaker 5: Yeah, so nuclear waste is honestly not something that I've 237 00:11:20,640 --> 00:11:24,679 Speaker 5: spent too much time thinking about. More than anything, Like 238 00:11:24,720 --> 00:11:27,040 Speaker 5: I said, we are still here focused on like can 239 00:11:27,040 --> 00:11:29,240 Speaker 5: we even build it? Can we build it cheaply? Like 240 00:11:29,280 --> 00:11:31,200 Speaker 5: one of the things that we saw with the two 241 00:11:31,200 --> 00:11:33,240 Speaker 5: plants that we most recently built in Georgia was that 242 00:11:33,240 --> 00:11:36,000 Speaker 5: they came in significantly over budget. If we want to 243 00:11:36,040 --> 00:11:37,839 Speaker 5: build more nuclear in the US, like, one of the 244 00:11:37,880 --> 00:11:39,199 Speaker 5: big things we're going to need to do is bring 245 00:11:39,240 --> 00:11:41,760 Speaker 5: those costs down before we see any massive scaling in 246 00:11:41,840 --> 00:11:43,920 Speaker 5: this industry. Oh yeah, it's much more expensive. 247 00:11:43,960 --> 00:11:44,080 Speaker 6: Ya. 248 00:11:44,240 --> 00:11:45,800 Speaker 2: It's definitely great stuff. Thank you so much for We 249 00:11:45,800 --> 00:11:48,839 Speaker 2: appreciate its. Technie Diaz Jus, a senior associate at b 250 00:11:49,200 --> 00:11:51,839 Speaker 2: n EF. Those are the folks that have all the data, 251 00:11:52,720 --> 00:11:56,880 Speaker 2: all the analysis within Bloomberg about the energy transition that 252 00:11:57,040 --> 00:11:59,960 Speaker 2: this country and this world is going through. So they've 253 00:12:00,040 --> 00:12:01,400 Speaker 2: they're experts in that stuff. 254 00:12:01,559 --> 00:12:07,400 Speaker 1: Right now, you're listening to the Bloomberg Intelligence Podcast. Catch 255 00:12:07,480 --> 00:12:10,680 Speaker 1: us live weekdays at ten am Eastern on Applecarclay, and 256 00:12:10,679 --> 00:12:14,000 Speaker 1: Android Auto with the Bloomberg Business App. Listen on demand 257 00:12:14,040 --> 00:12:17,760 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 258 00:12:17,960 --> 00:12:21,480 Speaker 2: Well, I think it seems like forever that leadership of 259 00:12:21,520 --> 00:12:24,440 Speaker 2: the stock market has been led by technology. Big tech 260 00:12:24,480 --> 00:12:27,199 Speaker 2: has been the leader. We've had a lot of volatility 261 00:12:27,280 --> 00:12:29,800 Speaker 2: this year. What if that's still the case? Michelle Martin 262 00:12:29,840 --> 00:12:33,120 Speaker 2: joins US president for the firm's name Prosperity. It's an 263 00:12:33,160 --> 00:12:36,920 Speaker 2: Eisner Airport Company joining us from Minneapolis via zoom. So, 264 00:12:37,040 --> 00:12:40,440 Speaker 2: Michelle's we think about the volatility we've experienced just so 265 00:12:40,559 --> 00:12:44,760 Speaker 2: far this calendar year, is Tech still the leader for 266 00:12:44,840 --> 00:12:45,439 Speaker 2: this market? 267 00:12:48,360 --> 00:12:51,800 Speaker 6: Hi? Paul, nice to be here. So Tech is actually 268 00:12:51,840 --> 00:12:54,280 Speaker 6: not the leader as it relates to where we're at 269 00:12:54,320 --> 00:12:56,640 Speaker 6: on a year to date basis. So what a difference 270 00:12:56,720 --> 00:13:00,200 Speaker 6: six weeks makes? Right? YEP? With the pullback that we 271 00:13:00,240 --> 00:13:03,880 Speaker 6: saw in April and all the uncertainty around tariffs, we've 272 00:13:03,920 --> 00:13:10,520 Speaker 6: actually seen value stocks and international in particular IFAH really 273 00:13:10,520 --> 00:13:13,520 Speaker 6: pick up momentum, and we're we're actually seeing a market 274 00:13:13,600 --> 00:13:17,680 Speaker 6: rotation here, uh, with a move towards international value stocks. 275 00:13:19,160 --> 00:13:22,040 Speaker 6: The Magnificent seven is is not the only game in 276 00:13:22,080 --> 00:13:22,800 Speaker 6: town anymore. 277 00:13:23,679 --> 00:13:25,160 Speaker 4: So you said the Max seven is not the only 278 00:13:25,200 --> 00:13:26,920 Speaker 4: game in town. We're seeing a bit of a rotation 279 00:13:26,960 --> 00:13:29,760 Speaker 4: toward international and value. Where are you advising that your 280 00:13:29,800 --> 00:13:30,280 Speaker 4: clients be. 281 00:13:32,320 --> 00:13:37,080 Speaker 6: We're we're maintaining some some core allocations to domestic and 282 00:13:37,240 --> 00:13:41,880 Speaker 6: obviously growth is not gone, but but we are broadening 283 00:13:41,880 --> 00:13:47,720 Speaker 6: our allocations uh to international, Uh, primarily UH, Western Europe. 284 00:13:48,120 --> 00:13:54,079 Speaker 6: We're seeing Germany breakout. We're we're really seeing an investment 285 00:13:54,240 --> 00:14:00,200 Speaker 6: in defense, a little bit different look on policy, and 286 00:14:00,240 --> 00:14:05,480 Speaker 6: then we're also paying attention to alternatives and really making 287 00:14:05,480 --> 00:14:07,679 Speaker 6: sure that we have a lot of diversity in our 288 00:14:07,679 --> 00:14:11,400 Speaker 6: fixed income as well. So this is this is really 289 00:14:11,640 --> 00:14:15,040 Speaker 6: about maybe scaling back a bit on some of the 290 00:14:15,080 --> 00:14:19,640 Speaker 6: growth overweight and the SMP overweight and just looking at 291 00:14:19,640 --> 00:14:22,800 Speaker 6: a broader market allocation Michelle. 292 00:14:22,840 --> 00:14:25,240 Speaker 2: And in terms of fixed income here, you know you 293 00:14:25,240 --> 00:14:26,760 Speaker 2: can sit there with a two year treasure and get 294 00:14:26,760 --> 00:14:30,200 Speaker 2: three in a court three point seven three percent. Is 295 00:14:30,200 --> 00:14:33,040 Speaker 2: that a place to be or should you be taking 296 00:14:33,080 --> 00:14:34,840 Speaker 2: credit risk with your fixed income allocation? 297 00:14:36,560 --> 00:14:39,520 Speaker 6: We still have some credit risk. We've we've scaled back 298 00:14:39,520 --> 00:14:42,000 Speaker 6: on credit risk a little bit, Paul, because we are 299 00:14:42,040 --> 00:14:47,040 Speaker 6: seeing some potential for slower growth, which which obviously means 300 00:14:47,080 --> 00:14:50,200 Speaker 6: there's there's a bit of credit risk, but we're not 301 00:14:50,240 --> 00:14:53,720 Speaker 6: seeing big red flakes at this point. The duration that 302 00:14:53,720 --> 00:14:57,200 Speaker 6: we're seeing and what we're maintaining in our portfolios is 303 00:14:57,720 --> 00:15:03,720 Speaker 6: about five years. We actually went out in duration last 304 00:15:03,800 --> 00:15:08,120 Speaker 6: year and have maintained that we think that the longer 305 00:15:08,200 --> 00:15:11,920 Speaker 6: duration allows us to pick up more yield. And in 306 00:15:12,000 --> 00:15:16,200 Speaker 6: many instances with our clients, we're holding individual bonds, so 307 00:15:16,200 --> 00:15:19,200 Speaker 6: so that volatility in uh, in the bonds is not 308 00:15:19,440 --> 00:15:24,120 Speaker 6: as as not as real. We're also looking at more 309 00:15:24,160 --> 00:15:29,000 Speaker 6: broader managers for fixed income where they can be more nimble, 310 00:15:29,560 --> 00:15:33,960 Speaker 6: take advantage of opportunities in the market duration, interest rate differences, 311 00:15:34,480 --> 00:15:36,520 Speaker 6: just just really be a bit more nimble. So that's 312 00:15:36,560 --> 00:15:38,680 Speaker 6: another area where we're seeing opportunities. 313 00:15:39,320 --> 00:15:43,520 Speaker 4: We talk about investment opportunities, uh, more broadly, where are 314 00:15:43,560 --> 00:15:47,120 Speaker 4: you advising clients be are we thinking equities fixed income effects? 315 00:15:47,160 --> 00:15:48,680 Speaker 4: Where are the opportunities right now? 316 00:15:52,000 --> 00:15:52,360 Speaker 5: Really? 317 00:15:52,440 --> 00:15:55,400 Speaker 6: You know, from from from the FX perspective, I think 318 00:15:55,440 --> 00:15:59,720 Speaker 6: you pick up something when you expand your international exposure. 319 00:15:59,800 --> 00:16:02,200 Speaker 6: That's a real simple way to do it. As we 320 00:16:03,040 --> 00:16:06,200 Speaker 6: see pressure on the dollar with the tariffs, just by 321 00:16:06,760 --> 00:16:10,240 Speaker 6: expanding your international exposure, that's a way to pick that up. 322 00:16:11,080 --> 00:16:14,680 Speaker 6: On the fixed income side, I think because we're looking 323 00:16:15,600 --> 00:16:18,720 Speaker 6: we're actually looking at fixed income as a pretty stable 324 00:16:19,680 --> 00:16:21,080 Speaker 6: You know, you can get four and a half to 325 00:16:21,120 --> 00:16:24,880 Speaker 6: five and a half percent on core bond portfolios, very 326 00:16:24,920 --> 00:16:28,920 Speaker 6: high quality corporate bonds. So when you're looking at potentially 327 00:16:29,000 --> 00:16:33,320 Speaker 6: seeing a relatively slow growth in the second half of 328 00:16:33,320 --> 00:16:35,920 Speaker 6: the year, this is something that's a pretty strong ballast 329 00:16:35,920 --> 00:16:37,000 Speaker 6: to portfolios. 330 00:16:37,520 --> 00:16:41,480 Speaker 2: Michelle, you mentioned alternatives. What do you guys like in 331 00:16:41,520 --> 00:16:44,760 Speaker 2: alternatives and what do you think a reasonable allocation should 332 00:16:44,760 --> 00:16:46,400 Speaker 2: be to alternatives. 333 00:16:47,800 --> 00:16:52,800 Speaker 6: So, Paul, we typically for our portfolios, and again it 334 00:16:52,880 --> 00:16:55,880 Speaker 6: depends on the client and kind of what their liquidity 335 00:16:55,920 --> 00:16:59,760 Speaker 6: needs are, but anywhere from ten to twenty percent in alternatives, 336 00:17:00,760 --> 00:17:03,360 Speaker 6: about half of that allocation we look at, and liquid 337 00:17:03,400 --> 00:17:09,800 Speaker 6: alternatives things that have hedge funds or hedging buffers, even 338 00:17:09,840 --> 00:17:13,119 Speaker 6: buffer ETF strategies can work really well to protect. On 339 00:17:13,160 --> 00:17:17,080 Speaker 6: the downside, and another area that we're seeing opportunities and 340 00:17:17,200 --> 00:17:25,520 Speaker 6: dislocation in the real estate market, there's very strong opportunities 341 00:17:25,640 --> 00:17:27,840 Speaker 6: just because of the rise and interest rates over the 342 00:17:27,920 --> 00:17:32,640 Speaker 6: last couple of years. Some developers and properties were kind 343 00:17:32,640 --> 00:17:36,240 Speaker 6: of caught flat footed, didn't forecast that. So we're seeing 344 00:17:36,280 --> 00:17:41,080 Speaker 6: real buying opportunities, particularly in the multifamily space and as 345 00:17:41,160 --> 00:17:44,640 Speaker 6: well in the industrial space. So that those are those 346 00:17:44,640 --> 00:17:47,959 Speaker 6: are areas where again taking advantage of dislocations in the 347 00:17:47,960 --> 00:17:51,240 Speaker 6: market and then producting on the downside is where we're 348 00:17:51,240 --> 00:17:53,160 Speaker 6: seeing the primary use of alternatives. 349 00:17:53,359 --> 00:17:55,280 Speaker 2: Hi, Michelle, thank you so much for joining us. Really 350 00:17:55,280 --> 00:17:57,680 Speaker 2: appreciate getting a few minutes of your time. Michelle Martin, 351 00:17:57,720 --> 00:18:01,080 Speaker 2: President over at Prosperity. Turn us from Minnea Apples. 352 00:18:01,800 --> 00:18:06,520 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 353 00:18:06,680 --> 00:18:10,680 Speaker 1: and anywhere else you get your podcasts. 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