1 00:00:03,120 --> 00:00:18,720 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:20,360 --> 00:00:23,520 Speaker 2: Hello and welcome to another episode of the All Thoughts Podcast. 3 00:00:23,640 --> 00:00:25,000 Speaker 2: I'm Tracy Alloway. 4 00:00:24,720 --> 00:00:25,880 Speaker 3: And I'm Jolle Wisenthal. 5 00:00:26,400 --> 00:00:28,640 Speaker 2: Joe, does it feel like we're at a turning point 6 00:00:28,720 --> 00:00:31,560 Speaker 2: of some sort? I feel like that's always a dangerous 7 00:00:31,640 --> 00:00:34,599 Speaker 2: question to ask on a podcast, because the tendency is 8 00:00:35,080 --> 00:00:37,440 Speaker 2: to call turning points or say we're at, you know, 9 00:00:37,560 --> 00:00:41,239 Speaker 2: the beginning of some new structural shift. Yeah, because that's 10 00:00:41,320 --> 00:00:43,239 Speaker 2: kind of what everyone wants to hear, Right, You. 11 00:00:44,000 --> 00:00:46,839 Speaker 3: Don't have been thinking about That's like super meta and 12 00:00:46,920 --> 00:00:49,680 Speaker 3: maybe beyond the scope of anything that we talk about 13 00:00:49,720 --> 00:00:53,080 Speaker 3: on a podcast. But just since we're talking about big moments. 14 00:00:53,600 --> 00:00:57,160 Speaker 3: When I was a kid, probably my parents thought that 15 00:00:57,520 --> 00:00:59,520 Speaker 3: the future would look very different when I'm an adult, 16 00:00:59,560 --> 00:01:03,400 Speaker 3: you know. But now I think that for my kids 17 00:01:03,800 --> 00:01:07,399 Speaker 3: the future will look so radically different that that I 18 00:01:07,480 --> 00:01:10,880 Speaker 3: just can't imagine twenty or thirty years from now anything 19 00:01:10,920 --> 00:01:14,200 Speaker 3: being remotely similar to it is today, due to various 20 00:01:14,240 --> 00:01:16,959 Speaker 3: things that we're seeing with tech and geopolitics and things 21 00:01:16,959 --> 00:01:17,200 Speaker 3: like that. 22 00:01:17,240 --> 00:01:20,160 Speaker 2: Particularly Ai, I don't know, back to the future promised 23 00:01:20,200 --> 00:01:22,679 Speaker 2: we'd have flying cars by now, and I'm still waiting. 24 00:01:23,000 --> 00:01:25,480 Speaker 3: They did get video conference. I guess that's too right, 25 00:01:25,520 --> 00:01:27,280 Speaker 3: So that's one thing, but yes, you're right. 26 00:01:27,200 --> 00:01:30,440 Speaker 2: All right. Well, there's obviously plenty that we could talk 27 00:01:30,480 --> 00:01:32,480 Speaker 2: about when it comes to the future, like what is 28 00:01:32,520 --> 00:01:35,119 Speaker 2: realistic and what is sort of pie in the sky 29 00:01:35,200 --> 00:01:37,960 Speaker 2: thinking like flying cars. I suspect we're not going to 30 00:01:38,040 --> 00:01:40,880 Speaker 2: have those for a while because of various reasons. But 31 00:01:41,080 --> 00:01:42,959 Speaker 2: one person we do like to speak to when it 32 00:01:43,000 --> 00:01:46,119 Speaker 2: comes to thinking big picture and kind of talking about 33 00:01:46,200 --> 00:01:50,760 Speaker 2: these potential paradigm shifts is Steve Eisman. Of course, he's 34 00:01:50,800 --> 00:01:52,600 Speaker 2: been on the show a couple of times. He's the 35 00:01:52,960 --> 00:01:56,400 Speaker 2: managing director at Newburger Berman and Steve, thank you so 36 00:01:56,480 --> 00:01:57,880 Speaker 2: much for coming back on all thoughts. 37 00:01:58,000 --> 00:01:59,000 Speaker 4: Thanks for having me again. 38 00:01:59,440 --> 00:02:02,560 Speaker 2: So big picture thoughts, what are you thinking at the moment? 39 00:02:03,160 --> 00:02:05,720 Speaker 2: The last time we had you on, you were talking 40 00:02:05,720 --> 00:02:08,400 Speaker 2: about a paradigm shift as interest rates got higher, And 41 00:02:08,480 --> 00:02:11,240 Speaker 2: it seems like investors are starting to ratchet down their 42 00:02:11,280 --> 00:02:14,480 Speaker 2: expectations for cuts right now, so we might actually get 43 00:02:14,520 --> 00:02:16,359 Speaker 2: that higher interest rate environment for longer. 44 00:02:18,160 --> 00:02:20,080 Speaker 4: You know, let's just start with the FED so we 45 00:02:20,360 --> 00:02:22,440 Speaker 4: get that out of the way as quickly as possible. 46 00:02:23,400 --> 00:02:25,200 Speaker 4: I have felt for a long time. The FED is 47 00:02:25,280 --> 00:02:30,680 Speaker 4: extremely insensitive to its own impact on markets. You know, 48 00:02:31,080 --> 00:02:33,240 Speaker 4: last was it last week when Powell. 49 00:02:32,919 --> 00:02:36,320 Speaker 3: Spoke, So we're recording this April second, but he spoke 50 00:02:36,360 --> 00:02:37,120 Speaker 3: on for I'm. 51 00:02:37,040 --> 00:02:40,760 Speaker 4: Good, you know, when he said that he thought that 52 00:02:40,840 --> 00:02:45,160 Speaker 4: because rates are higher, financial conditions are tight. That was 53 00:02:45,160 --> 00:02:50,160 Speaker 4: a little weird. I mean, right, credit spreads are extremely narrow. 54 00:02:50,800 --> 00:02:53,080 Speaker 4: I've always felt that, like I said, the Fed's insensitive 55 00:02:53,080 --> 00:02:56,560 Speaker 4: to its own impact on the markets. It's clearly Fed 56 00:02:56,639 --> 00:02:58,680 Speaker 4: wants to cut rates. It once seems to want to 57 00:02:58,680 --> 00:03:01,480 Speaker 4: cut rates very very badly. Why wants to cut rates 58 00:03:01,480 --> 00:03:05,800 Speaker 4: so badly? I don't understand in that they've engineered something 59 00:03:05,840 --> 00:03:09,200 Speaker 4: that's really pretty fantastic. You know. Not only is there 60 00:03:09,240 --> 00:03:11,440 Speaker 4: no soft landing, there doesn't need to be any landing. 61 00:03:11,520 --> 00:03:13,320 Speaker 4: And as far as you know, the data that I 62 00:03:13,400 --> 00:03:16,160 Speaker 4: can see, there seems to be something of a reacceleration 63 00:03:16,280 --> 00:03:19,840 Speaker 4: in the economy right now. So why would you cut rates? 64 00:03:19,840 --> 00:03:25,360 Speaker 4: What's your rush? You know? The actual What I would say, 65 00:03:25,400 --> 00:03:27,440 Speaker 4: even though I think the FED is going to cut rates, 66 00:03:27,480 --> 00:03:29,519 Speaker 4: the fear that I think should be out there is 67 00:03:29,520 --> 00:03:31,560 Speaker 4: that if they do cut rates and be even more 68 00:03:31,600 --> 00:03:34,480 Speaker 4: of resurgence in the economy and there'd be a resurgence 69 00:03:34,520 --> 00:03:37,920 Speaker 4: and inflation. So what's why would you rush to take 70 00:03:37,960 --> 00:03:39,520 Speaker 4: that risk? I don't get it. 71 00:03:39,520 --> 00:03:42,200 Speaker 3: It's funny you start off. You started off talking about 72 00:03:42,240 --> 00:03:44,880 Speaker 3: financial conditions. Actually I wrote about them a little bit 73 00:03:44,960 --> 00:03:47,280 Speaker 3: more a little bit this morning, and the question that 74 00:03:47,360 --> 00:03:51,000 Speaker 3: I have in my mind measures of financial conditions are 75 00:03:51,080 --> 00:03:54,600 Speaker 3: clearly loose, right, so the stock market is basically at 76 00:03:54,640 --> 00:03:58,680 Speaker 3: all time highs and put into financial conditions as you mentioned, 77 00:03:58,720 --> 00:04:01,720 Speaker 3: credit spreads are pretty tough, and then of course crypto, 78 00:04:01,760 --> 00:04:03,680 Speaker 3: which maybe you have thoughts about going to the moon. 79 00:04:03,720 --> 00:04:07,120 Speaker 3: So all kinds of measures of in liquid market loosening. 80 00:04:07,160 --> 00:04:11,559 Speaker 3: On the other hand, the IPO window still hasn't totally reopened. 81 00:04:12,080 --> 00:04:16,720 Speaker 3: It's not obvious that private investment is reaccelerating in some 82 00:04:17,000 --> 00:04:21,160 Speaker 3: dramatic way, hiring intentions. The labor market continues to at 83 00:04:21,240 --> 00:04:24,240 Speaker 3: least normalize. It's not falling apart by any stretch, but 84 00:04:24,320 --> 00:04:27,400 Speaker 3: it's nowhere near where it was. You know a couple 85 00:04:27,480 --> 00:04:30,039 Speaker 3: of years ago. Are those tight credit spreads and high 86 00:04:30,040 --> 00:04:35,000 Speaker 3: stock prices translating into the economic variables employment and inflation 87 00:04:35,240 --> 00:04:36,400 Speaker 3: that the federally cares about. 88 00:04:37,920 --> 00:04:39,960 Speaker 4: Inflation, I can say I think it's too early to 89 00:04:40,000 --> 00:04:42,360 Speaker 4: say what's happening there. I mean, the other thing I 90 00:04:42,360 --> 00:04:44,559 Speaker 4: could say is that from the companies that I speak 91 00:04:44,600 --> 00:04:48,479 Speaker 4: to on the industrial side, things seem to have reaccelerated 92 00:04:48,520 --> 00:04:51,919 Speaker 4: this year. Orders it picked up, Supply chain problems aren't 93 00:04:52,040 --> 00:04:56,080 Speaker 4: as much of an issue. Nobody's really talking about firing anybody, 94 00:04:56,600 --> 00:04:59,120 Speaker 4: you know. Is it perfect? Yeah? What's perfect? 95 00:04:59,320 --> 00:04:59,640 Speaker 3: Sure? 96 00:04:59,720 --> 00:05:02,520 Speaker 4: But things are pretty good. Yeah. 97 00:05:02,560 --> 00:05:06,599 Speaker 2: My framework for understanding this is that the FED basically 98 00:05:06,720 --> 00:05:10,640 Speaker 2: can look through loose financial conditions on the assumption that 99 00:05:10,720 --> 00:05:13,039 Speaker 2: if it does build out investment and a lot of 100 00:05:13,040 --> 00:05:15,880 Speaker 2: the inflationary pressures that we've seen have come about from 101 00:05:15,920 --> 00:05:20,599 Speaker 2: supply constraints, then it maybe is reducing inflation longer term 102 00:05:20,760 --> 00:05:25,200 Speaker 2: rather than leading to additional inflationary pressures. But one thing 103 00:05:25,279 --> 00:05:28,120 Speaker 2: I have to imagine they might not be huge fans 104 00:05:28,120 --> 00:05:32,560 Speaker 2: of is crypto. Crypto's back, right. I think bitcoins down 105 00:05:32,720 --> 00:05:35,520 Speaker 2: as we're recording this, but it surged to a new 106 00:05:35,600 --> 00:05:39,000 Speaker 2: all time high. I don't think anyone was really expecting 107 00:05:39,040 --> 00:05:42,200 Speaker 2: crypto to come back in this way when rates are 108 00:05:42,440 --> 00:05:45,400 Speaker 2: you still at the highest level in DEPA. 109 00:05:45,560 --> 00:05:47,800 Speaker 4: That's because it has nothing to do with rates. Okay, 110 00:05:48,400 --> 00:05:51,800 Speaker 4: so well, let's backtrack first. Sure, here's my big uber picture. 111 00:05:52,320 --> 00:05:56,440 Speaker 4: You look, in bad times, people focus on balance sheets 112 00:05:56,440 --> 00:05:59,600 Speaker 4: and credit quality, and good times they focus on stories. 113 00:06:00,440 --> 00:06:04,280 Speaker 4: And there are three I think great stories of our 114 00:06:04,320 --> 00:06:07,760 Speaker 4: time right now, and those are AI and everything having 115 00:06:07,800 --> 00:06:11,839 Speaker 4: to do with it, infrastructure, and crypto. And I believe 116 00:06:11,880 --> 00:06:14,000 Speaker 4: in the first two and I don't believe in the third, 117 00:06:14,240 --> 00:06:18,120 Speaker 4: the thing about crypto. And here's me getting on my soapbox, 118 00:06:18,160 --> 00:06:20,240 Speaker 4: so everybody can take this with the grainess whole. I 119 00:06:20,240 --> 00:06:23,159 Speaker 4: have no position in crypto, and I never have. But 120 00:06:24,160 --> 00:06:25,920 Speaker 4: you know, there are two issues with respect to crypto. 121 00:06:26,040 --> 00:06:29,400 Speaker 4: Number one, is it a currency? And number two, if 122 00:06:29,400 --> 00:06:32,400 Speaker 4: it's a currency, why should you own it? So let's 123 00:06:32,960 --> 00:06:37,320 Speaker 4: bypass issue number one because that's kind of philosophical and say, okay, 124 00:06:37,360 --> 00:06:39,359 Speaker 4: it's a currency, why should you own it? And the 125 00:06:39,400 --> 00:06:42,000 Speaker 4: people who are advocates of crypto will say exactly the 126 00:06:42,040 --> 00:06:46,040 Speaker 4: same thing, which is that there's a problem with FIA currencies, 127 00:06:46,279 --> 00:06:48,800 Speaker 4: which is government currencies. There's been too much of it, 128 00:06:48,839 --> 00:06:52,240 Speaker 4: there's too much bonduitions, there's too much debt, blah blah blah. 129 00:06:52,279 --> 00:06:56,440 Speaker 4: And so if you want to hedge against FIA currency 130 00:06:56,760 --> 00:06:59,960 Speaker 4: by crypto, in other words, crypto is like digital gold. 131 00:07:01,360 --> 00:07:04,880 Speaker 4: If that's the case and the theory is correct, then 132 00:07:04,880 --> 00:07:08,680 Speaker 4: how should crypto act. Crypto should do well when on 133 00:07:08,839 --> 00:07:11,200 Speaker 4: days like today where people are starting to worry about 134 00:07:11,200 --> 00:07:14,200 Speaker 4: inflation again, interest rates are up and the market is 135 00:07:14,280 --> 00:07:17,440 Speaker 4: down and NASDAK is down, and crypto should do poorly 136 00:07:17,480 --> 00:07:21,000 Speaker 4: when interest rates are lower, nobody cares about inflation, and 137 00:07:21,120 --> 00:07:24,560 Speaker 4: Nvidia is up twenty five percent. And how does crypto 138 00:07:24,600 --> 00:07:27,920 Speaker 4: actually act. It acts exactly opposite to its own thesis, 139 00:07:28,360 --> 00:07:32,240 Speaker 4: which is the correlation between crypto and NASDAK is very, 140 00:07:32,320 --> 00:07:34,480 Speaker 4: very very high. So what does that say to me? 141 00:07:34,960 --> 00:07:37,120 Speaker 4: That crypto is just another way that people like to 142 00:07:37,160 --> 00:07:40,280 Speaker 4: speculate on because they like to speculate. That's all. That's all. 143 00:07:40,680 --> 00:07:43,440 Speaker 4: That's its only use. That and money. 144 00:07:43,240 --> 00:07:47,920 Speaker 3: Laundering, which is a use. Okay, So the three big 145 00:07:48,000 --> 00:07:52,080 Speaker 3: stories of our time that people are into AI, infrastructure, 146 00:07:52,760 --> 00:07:55,760 Speaker 3: and crypto, two of which you believe in. We know 147 00:07:56,040 --> 00:07:58,320 Speaker 3: you don't believe in one of them. Let's go to 148 00:07:58,400 --> 00:08:01,120 Speaker 3: infrastructure for a second, because you mentioned that you talked 149 00:08:01,120 --> 00:08:05,160 Speaker 3: to a lot of industrial companies. Companies that would be theoretically, 150 00:08:05,240 --> 00:08:08,520 Speaker 3: I assume prime to take advantage of a lot of 151 00:08:08,560 --> 00:08:10,640 Speaker 3: the building out that's going on. So what are they 152 00:08:10,680 --> 00:08:13,400 Speaker 3: saying to you specifically right now? I mean you mentioned 153 00:08:13,440 --> 00:08:15,960 Speaker 3: that they're not talking about job cuts, But where are 154 00:08:15,960 --> 00:08:19,720 Speaker 3: we in the broader infrastructure cycle Because we saw all 155 00:08:19,720 --> 00:08:22,920 Speaker 3: of this money, we saw these various bill We're. 156 00:08:22,720 --> 00:08:26,440 Speaker 4: At the beginning. So here's my soapbox again. I think 157 00:08:26,480 --> 00:08:30,160 Speaker 4: that there are several sort of themes that weave its 158 00:08:30,160 --> 00:08:33,680 Speaker 4: way into infrastructure. So one is on shoring. You know, 159 00:08:33,720 --> 00:08:39,040 Speaker 4: the world spent forty years creating global supply chain that 160 00:08:39,440 --> 00:08:46,800 Speaker 4: was incredibly efficient and inexpensive and deflationary and turned out 161 00:08:47,320 --> 00:08:51,040 Speaker 4: we all learned during COVID also very brittle. So you're 162 00:08:51,080 --> 00:08:54,120 Speaker 4: a CEO. You got a free pass the first time. 163 00:08:54,840 --> 00:08:57,000 Speaker 4: You know, if you had supply chain problems, nobody's going 164 00:08:57,040 --> 00:08:59,240 Speaker 4: to blame you that you had supply chain problems because 165 00:08:59,240 --> 00:09:03,040 Speaker 4: of pandemic. Nobody predicted you get one buy that apple. 166 00:09:03,760 --> 00:09:06,319 Speaker 4: If for some reason you have a supply chain problem, again, 167 00:09:06,800 --> 00:09:10,840 Speaker 4: that's on you. You get fired for that. So companies 168 00:09:10,880 --> 00:09:12,960 Speaker 4: are bringing parts of their supply chain back to the 169 00:09:13,000 --> 00:09:16,400 Speaker 4: United States. That's a ten year story and we're like 170 00:09:16,480 --> 00:09:21,040 Speaker 4: in year two. That's them one theme. Two is data centers, 171 00:09:21,800 --> 00:09:25,800 Speaker 4: which is AI offset offshoot, but it also has industrial 172 00:09:25,840 --> 00:09:29,120 Speaker 4: o implications because number one, the GPUs that Nvidia and 173 00:09:29,200 --> 00:09:33,280 Speaker 4: AMD is selling utilize three times more electricity than a CPU, 174 00:09:33,600 --> 00:09:36,720 Speaker 4: and they're also incredibly hotter, so they require a lot 175 00:09:36,760 --> 00:09:38,680 Speaker 4: more of the whole cooling systems that you have to 176 00:09:38,679 --> 00:09:42,520 Speaker 4: put into those data centers and brings us to theme three, 177 00:09:42,960 --> 00:09:46,000 Speaker 4: which is improvement in the grid. Now, the grid needed 178 00:09:46,040 --> 00:09:49,080 Speaker 4: improvement before because of all the pressure that we're putting 179 00:09:49,080 --> 00:09:52,760 Speaker 4: on it from electrification, etc. But now that you add 180 00:09:52,800 --> 00:09:54,719 Speaker 4: the GPUs on top of it, the pressure on the 181 00:09:54,760 --> 00:09:58,480 Speaker 4: grid is even higher. So you know all the industrial 182 00:09:58,520 --> 00:10:01,000 Speaker 4: companies that deal with utility that are spending a ton 183 00:10:01,040 --> 00:10:04,319 Speaker 4: of money to improve their grids. That's also a very 184 00:10:04,360 --> 00:10:06,880 Speaker 4: long term theme and also pretty much in its early stages. 185 00:10:06,960 --> 00:10:10,120 Speaker 4: And the last part is greenification, which has been a 186 00:10:10,120 --> 00:10:12,360 Speaker 4: long standing theme, but it's going to keep going. And 187 00:10:12,400 --> 00:10:16,120 Speaker 4: you take all four of those boxes and you turbocharge them. 188 00:10:16,440 --> 00:10:18,280 Speaker 4: By the fact that the United States has not had 189 00:10:18,280 --> 00:10:21,800 Speaker 4: an industrial policy in anyone's lifetime, and it has one now. 190 00:10:21,960 --> 00:10:27,040 Speaker 4: The combination of the IRA and the IIJA adds up 191 00:10:27,080 --> 00:10:30,080 Speaker 4: to about one point two trillion dollars over ten years, 192 00:10:30,200 --> 00:10:32,840 Speaker 4: So that'll turbocharge all the four themes that it just 193 00:10:32,840 --> 00:10:35,480 Speaker 4: spoke about. That's why infrastructure is so interesting. 194 00:10:35,760 --> 00:10:38,439 Speaker 2: So I remember one of the last times we spoke 195 00:10:38,480 --> 00:10:42,480 Speaker 2: to you, you mentioned a specific company, Quantus Services, which 196 00:10:42,520 --> 00:10:45,000 Speaker 2: does electrification of the grids something like that. 197 00:10:45,520 --> 00:10:48,880 Speaker 4: It's an engineering construction company, and one of the things 198 00:10:48,920 --> 00:10:51,360 Speaker 4: that it does is if utility wants to build a 199 00:10:51,400 --> 00:10:53,439 Speaker 4: new plant, et cetera, Quanta builds it for. 200 00:10:53,440 --> 00:10:56,160 Speaker 2: Them, and that one is up. I think around forty 201 00:10:56,240 --> 00:10:58,480 Speaker 2: percent since we spoke to you, which has been like 202 00:10:58,800 --> 00:11:01,679 Speaker 2: less than a year or so. Are those the kind 203 00:11:01,720 --> 00:11:03,160 Speaker 2: of companies that you're trying to find? 204 00:11:03,600 --> 00:11:07,440 Speaker 4: Yes, they're those. Then there are some, you know, materials 205 00:11:07,480 --> 00:11:10,600 Speaker 4: companies that are going to be building the roads, the bridges, 206 00:11:10,720 --> 00:11:14,480 Speaker 4: et cetera, and you know, everything basically that surrounds that world. 207 00:11:14,679 --> 00:11:17,760 Speaker 2: Would you do pure commodity plays? I mean, copper was 208 00:11:17,760 --> 00:11:18,240 Speaker 2: a big one. 209 00:11:18,280 --> 00:11:20,080 Speaker 4: I don't do commodities. These are the things I don't do. 210 00:11:20,400 --> 00:11:23,320 Speaker 4: I don't do commodities. I don't do oil, I don't 211 00:11:23,320 --> 00:11:25,559 Speaker 4: trade currency. I don't trade commodities and do any of 212 00:11:25,559 --> 00:11:27,000 Speaker 4: that stuff. I just buy stocks. 213 00:11:27,440 --> 00:11:30,280 Speaker 3: Say more about some of these because everyone knows in video, 214 00:11:30,320 --> 00:11:33,560 Speaker 3: but you do see this in the sell side research 215 00:11:33,679 --> 00:11:36,720 Speaker 3: that's coming out, which is that everyone is looking for 216 00:11:37,360 --> 00:11:42,439 Speaker 3: these secondary and tertiary plays on AI and so quantus services. 217 00:11:42,720 --> 00:11:45,800 Speaker 3: Congratulations on the good pick there, But what are the 218 00:11:45,880 --> 00:11:49,959 Speaker 3: other types of companies that you're looking at as part 219 00:11:50,040 --> 00:11:53,440 Speaker 3: of this in areas like cooling, which is obviously going 220 00:11:53,440 --> 00:11:56,600 Speaker 3: to be huge, or you know, electrical component We got 221 00:11:56,600 --> 00:12:00,559 Speaker 3: ism manufacturing out yesterday, transformers can you to be in 222 00:12:00,640 --> 00:12:04,320 Speaker 3: shortage for basically three straight years? What is your process 223 00:12:04,360 --> 00:12:07,640 Speaker 3: and how are you going about identifying the secondary and 224 00:12:07,760 --> 00:12:10,680 Speaker 3: tertiary maybe AI data center plays out there. 225 00:12:12,120 --> 00:12:14,679 Speaker 4: Well, I mean there are it's you know, it's all 226 00:12:14,720 --> 00:12:16,960 Speaker 4: the offshoots of the four boxes that I mentioned. There 227 00:12:17,040 --> 00:12:20,839 Speaker 4: is the cooling part, there's the grid construction part that 228 00:12:20,960 --> 00:12:24,400 Speaker 4: there are the utilities that are more on the green 229 00:12:24,559 --> 00:12:27,160 Speaker 4: side than on the not green side. I mean, there's 230 00:12:27,240 --> 00:12:29,199 Speaker 4: just a lot to do. I mean, the other thing 231 00:12:29,240 --> 00:12:32,280 Speaker 4: that people are that we're trying to figure out is, Okay, 232 00:12:32,920 --> 00:12:36,960 Speaker 4: there's Nvidia, there's a MD There's there's Microsoft, you know, 233 00:12:37,000 --> 00:12:41,120 Speaker 4: one of our newer stocks. There's Oracle, you know, anyone 234 00:12:41,200 --> 00:12:48,360 Speaker 4: who has a huge database of anything consumer businesses. You know, 235 00:12:48,360 --> 00:12:50,200 Speaker 4: in the world of AI is probably sitting on a 236 00:12:50,240 --> 00:12:53,920 Speaker 4: gold mine. Whether the question is whether they can monetize it. 237 00:12:54,600 --> 00:12:57,440 Speaker 4: And then then the next level, which I don't have 238 00:12:57,520 --> 00:13:01,160 Speaker 4: an answer to, is Okay, everybody's trying to invent apps. 239 00:13:01,800 --> 00:13:04,320 Speaker 4: Whose apps are going to do well? Although my guess 240 00:13:04,440 --> 00:13:07,240 Speaker 4: is that one of the bigger beneficiaries is probably going 241 00:13:07,280 --> 00:13:10,200 Speaker 4: to be Apple, because at the end of the day, 242 00:13:10,400 --> 00:13:13,800 Speaker 4: the consumer I can't possibly predict what apps are going 243 00:13:13,880 --> 00:13:16,960 Speaker 4: to do well. But let's assume they're a bunch of them, 244 00:13:17,000 --> 00:13:20,440 Speaker 4: and let's assume that a bunch of them are for 245 00:13:20,520 --> 00:13:23,040 Speaker 4: the consumer. I have no idea what those are, but 246 00:13:23,120 --> 00:13:26,560 Speaker 4: let's assume that they exist, they are created, people are 247 00:13:26,559 --> 00:13:29,200 Speaker 4: going to use them on their phone, so AI is 248 00:13:29,200 --> 00:13:31,760 Speaker 4: going to have to be on the phone, which so 249 00:13:32,240 --> 00:13:34,719 Speaker 4: you know, assume what I'm hearing is that Apple is 250 00:13:34,760 --> 00:13:37,880 Speaker 4: talking to every AI creator in the world to say, 251 00:13:37,920 --> 00:13:40,920 Speaker 4: you know, come on our platform because we'll make your 252 00:13:41,040 --> 00:13:44,280 Speaker 4: app more efficient. They'll probably roll something out in June 253 00:13:44,280 --> 00:13:46,720 Speaker 4: when they have their I don't know if it's an 254 00:13:46,720 --> 00:13:50,199 Speaker 4: investor day or tech day, but you know, Apple potentially 255 00:13:50,320 --> 00:13:52,439 Speaker 4: eventually is going to be one of the bigger beneficiaries 256 00:13:52,440 --> 00:13:53,200 Speaker 4: in the second wave. 257 00:13:53,880 --> 00:13:55,800 Speaker 2: Speaking of waves, This is one of the reasons we 258 00:13:55,840 --> 00:13:58,719 Speaker 2: wanted to talk to you. How do you separate the 259 00:13:58,840 --> 00:14:04,600 Speaker 2: hype around owned AI versus the reality the real opportunity 260 00:14:04,640 --> 00:14:07,000 Speaker 2: there because we are seeing this dynamic in the market 261 00:14:07,040 --> 00:14:10,319 Speaker 2: now where you know, companies are just mentioning AI in 262 00:14:10,440 --> 00:14:14,280 Speaker 2: their press release. Right, everyone's doing AI, everyone's looking into AI. 263 00:14:15,040 --> 00:14:17,800 Speaker 2: And again, one of the reasons we like talking to 264 00:14:17,800 --> 00:14:20,640 Speaker 2: you is because you are well known for the due 265 00:14:20,680 --> 00:14:24,000 Speaker 2: diligence that you do on various things, most famously on 266 00:14:24,040 --> 00:14:27,120 Speaker 2: the housing market before two thousand and eight. So how 267 00:14:27,120 --> 00:14:30,320 Speaker 2: are you separating the sort of fact from fiction here? 268 00:14:31,520 --> 00:14:35,320 Speaker 4: Well, I mean, the facts are that AI at this 269 00:14:35,440 --> 00:14:39,800 Speaker 4: point is really only benefiting a very small number of companies, 270 00:14:40,480 --> 00:14:44,600 Speaker 4: most of whom were very, very very large. So that's 271 00:14:44,760 --> 00:14:47,400 Speaker 4: we have focused our attention on everything else at this 272 00:14:47,480 --> 00:14:51,400 Speaker 4: point seems to me to be hype or potential, and 273 00:14:52,280 --> 00:14:55,040 Speaker 4: we don't own those companies. We own the ones where 274 00:14:55,200 --> 00:14:57,600 Speaker 4: what's obvious. After that, we'll sing. 275 00:14:57,560 --> 00:15:16,400 Speaker 3: It, you know. Tracy asked about the due diligence process, 276 00:15:16,400 --> 00:15:18,120 Speaker 3: and I sort of want to keep driving at this 277 00:15:18,200 --> 00:15:20,680 Speaker 3: because you mentioned one company, but like, there are a 278 00:15:20,720 --> 00:15:25,080 Speaker 3: bunch of companies out there that probably sell some component 279 00:15:25,200 --> 00:15:29,240 Speaker 3: that is useful for utilities. There's probably various companies out 280 00:15:29,240 --> 00:15:32,480 Speaker 3: there that sell cables that connect those and video chips 281 00:15:32,480 --> 00:15:35,440 Speaker 3: from one to another, and there's various companies that sell 282 00:15:35,680 --> 00:15:40,040 Speaker 3: cooling solutions, et cetera. And so in that due diligence process, 283 00:15:40,080 --> 00:15:41,680 Speaker 3: like how do you start that, Like what is your 284 00:15:42,200 --> 00:15:44,400 Speaker 3: sort of open up the window of like what does 285 00:15:44,440 --> 00:15:47,000 Speaker 3: it look like the process of identifying them? 286 00:15:47,040 --> 00:15:49,280 Speaker 4: Well in terms of let's talk on the infrastructure. 287 00:15:49,360 --> 00:15:50,800 Speaker 3: Yeah, yeah, yeah, that's the part of it. 288 00:15:51,400 --> 00:15:57,800 Speaker 4: I have narrowed down that world to where I think 289 00:15:57,840 --> 00:16:06,000 Speaker 4: it's significant to about eighty company Okay, And of those eighty, 290 00:16:08,360 --> 00:16:14,720 Speaker 4: I would say about thirty are very very interesting. The 291 00:16:14,800 --> 00:16:17,640 Speaker 4: other fifty or not so interesting at this point? 292 00:16:18,240 --> 00:16:20,720 Speaker 3: Is that a function of when it's the eighty or 293 00:16:20,800 --> 00:16:23,640 Speaker 3: the thirty? Is that about talking to people in the 294 00:16:23,680 --> 00:16:25,440 Speaker 3: space and saying, hey, what products do you use? 295 00:16:25,840 --> 00:16:28,600 Speaker 4: No, I mean it's I mean, I've been doing research 296 00:16:28,640 --> 00:16:29,720 Speaker 4: on this for the last two years. 297 00:16:29,840 --> 00:16:31,120 Speaker 3: Yeah, so what does that look like. 298 00:16:31,760 --> 00:16:33,360 Speaker 4: It's a lot of work, It's a lot of reading, 299 00:16:33,880 --> 00:16:36,040 Speaker 4: you know, it's going to a lot of meetings. You know. 300 00:16:36,080 --> 00:16:40,560 Speaker 4: The area that I find is not interesting, for example, 301 00:16:41,080 --> 00:16:45,320 Speaker 4: is residential solar Resisolar, I think is just an area 302 00:16:45,400 --> 00:16:48,840 Speaker 4: that did very, very well during COVID, but was actually 303 00:16:48,880 --> 00:16:52,880 Speaker 4: a major beneficiary of zero rates because people who put 304 00:16:52,880 --> 00:16:54,960 Speaker 4: a you know, it costs about thirty thousand dollars to 305 00:16:55,000 --> 00:16:57,320 Speaker 4: put a solar system on your roof, and ninety nine 306 00:16:57,320 --> 00:17:00,880 Speaker 4: percent of people finance it. And when they were financing 307 00:17:00,880 --> 00:17:03,040 Speaker 4: it during COVID, they were financing it at three percent, 308 00:17:03,120 --> 00:17:04,639 Speaker 4: and today, if they need to finance it, they're going 309 00:17:04,680 --> 00:17:06,680 Speaker 4: to need to fancy it at around nine And one 310 00:17:06,680 --> 00:17:08,320 Speaker 4: thing I learned in great school is that nine is 311 00:17:08,320 --> 00:17:11,400 Speaker 4: a lot more than three, and so sales are negative. 312 00:17:11,920 --> 00:17:14,199 Speaker 4: Now how long they'll stay negative, I don't know, but 313 00:17:14,840 --> 00:17:17,399 Speaker 4: I'm not interested in speculating about it, because the fundamentals 314 00:17:17,480 --> 00:17:20,800 Speaker 4: right now are poor. On the other hand, you know, 315 00:17:20,920 --> 00:17:25,200 Speaker 4: just from a pure fundamental perspective, some of the solar 316 00:17:25,240 --> 00:17:28,399 Speaker 4: panel companies that sell stuff to utility they're doing quite well. 317 00:17:28,520 --> 00:17:30,760 Speaker 2: So the other thing that's happened since we last spoke 318 00:17:30,800 --> 00:17:33,879 Speaker 2: to you is that we are about ten or twelve 319 00:17:33,880 --> 00:17:38,480 Speaker 2: months closer to a presidential election in the US. Does 320 00:17:38,520 --> 00:17:42,000 Speaker 2: the infrastructure thesis take a hit if we were to 321 00:17:42,119 --> 00:17:43,800 Speaker 2: get Trump in office? 322 00:17:43,920 --> 00:17:49,320 Speaker 4: This perception is reality, so the perception would be that 323 00:17:49,560 --> 00:17:53,560 Speaker 4: a Republican administration would be less positive on gratification, and 324 00:17:53,600 --> 00:17:55,720 Speaker 4: so maybe some of those stocks would take a hit 325 00:17:55,840 --> 00:18:00,280 Speaker 4: because of rhetoric. I think the reality is number one, 326 00:18:00,000 --> 00:18:02,280 Speaker 4: and the states that benefit for most of this stuff 327 00:18:02,280 --> 00:18:05,919 Speaker 4: are actually red states, including on the solar side. And 328 00:18:06,800 --> 00:18:11,320 Speaker 4: number two. You know, one of the reasons why US 329 00:18:11,359 --> 00:18:14,760 Speaker 4: solar panel companies, like a coupley like First Solar doing 330 00:18:14,800 --> 00:18:18,399 Speaker 4: so well is because there are major tariffs against Chinese 331 00:18:18,440 --> 00:18:22,480 Speaker 4: solar producers. Those tariffs were created by President Trump, not 332 00:18:22,560 --> 00:18:25,959 Speaker 4: by President Biden. President Biden just reaffirmed them. So at 333 00:18:26,000 --> 00:18:27,640 Speaker 4: the end of the day, I don't think it's gonna matter, 334 00:18:28,359 --> 00:18:29,840 Speaker 4: although there'll be a lot of noise. 335 00:18:31,160 --> 00:18:33,600 Speaker 3: On the near shoring. You know, this is one of 336 00:18:33,640 --> 00:18:37,280 Speaker 3: those things where it's always hard, at least from my 337 00:18:37,400 --> 00:18:41,080 Speaker 3: perspective to disentangle like what's talk. You know, you see 338 00:18:41,080 --> 00:18:43,119 Speaker 3: a lot of like there might be like a McKinsey 339 00:18:43,160 --> 00:18:46,360 Speaker 3: white paper about the benefits of near shoring, and it's like, okay. 340 00:18:46,080 --> 00:18:47,320 Speaker 4: But oh I don't care about stuff. 341 00:18:47,440 --> 00:18:49,080 Speaker 3: Yeah no, no, I know, I know. So I'm trying 342 00:18:49,119 --> 00:18:52,640 Speaker 3: to like understand like the what are they doing specifically 343 00:18:52,680 --> 00:18:56,879 Speaker 3: the companies, the industrial companies that you're talking to, what 344 00:18:57,119 --> 00:18:59,840 Speaker 3: actually is being built either in the US. 345 00:19:00,119 --> 00:19:02,320 Speaker 4: You know it is a long like, you know, two 346 00:19:02,359 --> 00:19:05,239 Speaker 4: hour conversation kind of Look, there's some factories that are 347 00:19:05,240 --> 00:19:07,520 Speaker 4: being built here. There's some chip factories being bilit here. 348 00:19:07,520 --> 00:19:10,600 Speaker 4: There's some other kinds of factories being built here. You 349 00:19:10,640 --> 00:19:12,879 Speaker 4: know they All you need to do is listen to 350 00:19:13,080 --> 00:19:15,560 Speaker 4: let's say the Eaton conference call when they report, to 351 00:19:15,680 --> 00:19:18,080 Speaker 4: understand that they're doing very very well, and they'll do 352 00:19:18,240 --> 00:19:20,880 Speaker 4: very well for a long time because of those trends. 353 00:19:21,160 --> 00:19:26,600 Speaker 4: Eating corp Yes, etn etn'. I don't own it, but 354 00:19:26,640 --> 00:19:28,480 Speaker 4: I done a lot of research on it. You can't 355 00:19:28,480 --> 00:19:32,560 Speaker 4: own everything. And they're a company saying what, that's a 356 00:19:32,560 --> 00:19:34,560 Speaker 4: company that does electrification for factories. 357 00:19:34,600 --> 00:19:37,040 Speaker 3: Yeah, this stalks on well, and they're saying what specifically on. 358 00:19:36,960 --> 00:19:38,320 Speaker 4: Their calls, they got a lot of orders. 359 00:19:38,520 --> 00:19:42,280 Speaker 3: Okay, that's what they're saying. I'm looking at those share 360 00:19:42,920 --> 00:19:47,400 Speaker 3: Eating Corporation, POC manufacturers engineered products for industrial vehicle construction, 361 00:19:47,480 --> 00:19:48,920 Speaker 3: commercial on aerospace markets. 362 00:19:49,040 --> 00:19:52,240 Speaker 4: Or take a company right products, fluid connect Take a 363 00:19:52,240 --> 00:19:55,720 Speaker 4: company like a newer company. It's not it's an older company, 364 00:19:55,720 --> 00:19:58,480 Speaker 4: but it's a new company listen called CRH which is 365 00:19:58,480 --> 00:20:02,159 Speaker 4: a materials company. The headquarters is in Ireland, but seventy 366 00:20:02,160 --> 00:20:05,360 Speaker 4: five percent of the business in the United States. They 367 00:20:05,400 --> 00:20:10,520 Speaker 4: do roads, cement, all that stuff. And on the commercial side, 368 00:20:10,560 --> 00:20:13,600 Speaker 4: things are picking up, and they're partially picking up because 369 00:20:13,640 --> 00:20:16,800 Speaker 4: of the IRA and the IgA. Money just starting to 370 00:20:16,840 --> 00:20:18,840 Speaker 4: be spent. And one of the things that was sent 371 00:20:18,880 --> 00:20:21,639 Speaker 4: on the conference call by the CFO was that this 372 00:20:21,720 --> 00:20:26,920 Speaker 4: is this is now golden age for infrastructure. I never 373 00:20:26,920 --> 00:20:29,000 Speaker 4: heard anybody say I call this a golden age for 374 00:20:29,040 --> 00:20:30,879 Speaker 4: their industry, but he said it. 375 00:20:32,040 --> 00:20:34,879 Speaker 2: Yeah, some of the stocks they look a little ai 376 00:20:34,920 --> 00:20:36,200 Speaker 2: ish when you look at the charts. 377 00:20:36,400 --> 00:20:38,080 Speaker 3: Street line yeah, straight line up. 378 00:20:38,520 --> 00:20:42,120 Speaker 4: So CRCH is funny because this is a perfect example 379 00:20:42,240 --> 00:20:46,040 Speaker 4: of why the thesis that markets are efficient is sometimes nonsense. 380 00:20:46,880 --> 00:20:51,359 Speaker 4: So CRCH was a Irish listed UK listed company with 381 00:20:51,560 --> 00:20:54,679 Speaker 4: seventy five percent of its businesses in the US. So 382 00:20:55,160 --> 00:20:59,440 Speaker 4: materials companies in Europe sell it literally half the multiples 383 00:20:59,680 --> 00:21:05,680 Speaker 4: of US companies for whatever reason. And of course all 384 00:21:05,720 --> 00:21:09,000 Speaker 4: the cell side analysts who covered CRCH were European analysts, 385 00:21:09,400 --> 00:21:11,960 Speaker 4: and the people who cover Volcan materials, let's say, are 386 00:21:12,160 --> 00:21:17,080 Speaker 4: US analysts. So crch and September relisted in the US 387 00:21:17,600 --> 00:21:19,879 Speaker 4: under thesis said hey, we might get a better valuation 388 00:21:20,040 --> 00:21:22,560 Speaker 4: because we're seventy five percent US, and all of a 389 00:21:22,600 --> 00:21:24,560 Speaker 4: sudden people are And that's what we started to buy 390 00:21:24,600 --> 00:21:29,439 Speaker 4: it because we said to ourselves, this thing sells it 391 00:21:29,720 --> 00:21:32,600 Speaker 4: less than half the multiple of its US comps because 392 00:21:32,680 --> 00:21:33,880 Speaker 4: it has a different audience. 393 00:21:34,000 --> 00:21:36,800 Speaker 2: That's so funn that's like cell side analyst arbitrage. 394 00:21:36,960 --> 00:21:40,240 Speaker 4: That's exactly what, exactly right, it was cell side analyst arbitrage, 395 00:21:40,240 --> 00:21:42,640 Speaker 4: and all of a sudden you had US analysts pick 396 00:21:42,680 --> 00:21:45,080 Speaker 4: it up and say, wait a second, this is seventy 397 00:21:45,080 --> 00:21:47,280 Speaker 4: five percent US. What am I missing? Huh? 398 00:21:47,720 --> 00:21:51,639 Speaker 2: So one thing that comes up in infrastructure conversations is 399 00:21:51,840 --> 00:21:55,359 Speaker 2: this idea of crowding out. So the government is spending 400 00:21:55,400 --> 00:21:58,679 Speaker 2: billions and billions of dollars through various programs on building 401 00:21:58,720 --> 00:22:02,560 Speaker 2: out infrastructure, I identifying new opportunities, and you know, we 402 00:22:02,600 --> 00:22:05,960 Speaker 2: speak to people like Jiggershaw from the Department of Energy's 403 00:22:06,119 --> 00:22:10,160 Speaker 2: Loan Office program about how he makes his investments as 404 00:22:10,200 --> 00:22:13,480 Speaker 2: a private investor. Do you ever feel like you're competing 405 00:22:13,560 --> 00:22:16,719 Speaker 2: with the government in this area in things like renewables 406 00:22:16,840 --> 00:22:18,399 Speaker 2: or green energy, or innation. 407 00:22:18,720 --> 00:22:21,280 Speaker 4: I mean, I don't do private investing, so it's not 408 00:22:21,359 --> 00:22:24,520 Speaker 4: my problem. I just do public equities. 409 00:22:24,800 --> 00:22:28,439 Speaker 2: Okay, But as a non government investor, do you feel 410 00:22:28,440 --> 00:22:31,639 Speaker 2: like it's harder to identify opportunities because the government is 411 00:22:31,680 --> 00:22:34,280 Speaker 2: in the mix now more than they used to be, or. 412 00:22:34,320 --> 00:22:35,560 Speaker 4: It's just another part of the story. 413 00:22:35,640 --> 00:22:37,360 Speaker 2: Huh, how do you take it into account? 414 00:22:38,119 --> 00:22:40,520 Speaker 4: They're spending money just trying to figure out who's benefiting. 415 00:22:40,840 --> 00:22:42,320 Speaker 4: Just follow the money, follow the money. 416 00:22:43,480 --> 00:22:46,919 Speaker 3: On electrification, you mentioned the grid, and there seems to 417 00:22:46,960 --> 00:22:50,400 Speaker 3: be this incredibly wide consensus that the grid is not 418 00:22:50,560 --> 00:22:52,000 Speaker 3: currently sufficient. 419 00:22:52,920 --> 00:22:55,560 Speaker 4: That is what in Silicon Valley and the tech world. 420 00:22:55,760 --> 00:22:57,840 Speaker 4: That's what they're worried about. They're all talking, they're all 421 00:22:58,200 --> 00:22:58,959 Speaker 4: petrified of it. 422 00:22:59,000 --> 00:22:59,800 Speaker 3: Who's going to pay for it? 423 00:23:00,119 --> 00:23:00,199 Speaker 2: Is? 424 00:23:00,240 --> 00:23:03,159 Speaker 3: This was not something the IRA spent a lot of 425 00:23:03,200 --> 00:23:05,320 Speaker 3: money in a lot of areas, but it did not 426 00:23:05,600 --> 00:23:09,399 Speaker 3: really do anything for the grid itself. And there is 427 00:23:09,440 --> 00:23:10,480 Speaker 3: even a lot of acknowledgement. 428 00:23:10,520 --> 00:23:17,480 Speaker 4: Well, there's five hundred billion dollars in tax credits for 429 00:23:18,760 --> 00:23:23,320 Speaker 4: green energy stuff. Sure, absolutely, And so you know a 430 00:23:23,359 --> 00:23:27,639 Speaker 4: company Lightinexterra, which is will build let's say a solar field, 431 00:23:28,119 --> 00:23:32,480 Speaker 4: gets a tax credit to do it. Yes, so that 432 00:23:32,560 --> 00:23:33,520 Speaker 4: does that does help. 433 00:23:33,560 --> 00:23:36,160 Speaker 3: Then there's the lines and the wires, and so there's 434 00:23:36,160 --> 00:23:39,520 Speaker 3: all these questions about regulations, and there's the question about money, 435 00:23:39,600 --> 00:23:44,040 Speaker 3: et cetera. Who's paying for basically the I mean you 436 00:23:44,080 --> 00:23:48,400 Speaker 3: mentioned generation on the solar field side, who's paying for 437 00:23:48,920 --> 00:23:51,399 Speaker 3: the lines that will connect all these solar fields? 438 00:23:51,440 --> 00:23:53,800 Speaker 4: All the utilities are doing that. Okay, So if you 439 00:23:53,880 --> 00:23:56,159 Speaker 4: look at the end of every year, when all the 440 00:23:56,240 --> 00:23:59,080 Speaker 4: utilities are put their fourth quarter, at least most of them, 441 00:23:59,359 --> 00:24:06,479 Speaker 4: they put out their three year capex budget projections, so 442 00:24:06,520 --> 00:24:08,320 Speaker 4: they only comes out once a year. So we just 443 00:24:08,400 --> 00:24:13,520 Speaker 4: went through that period. So of the twenty companies that 444 00:24:13,960 --> 00:24:19,240 Speaker 4: are very good Newburger Bermam Utility Analyst covers, the average 445 00:24:19,280 --> 00:24:22,480 Speaker 4: increase in the three year capex budget is twenty percent. 446 00:24:23,680 --> 00:24:25,520 Speaker 3: Over the last year over the last year. 447 00:24:25,840 --> 00:24:30,000 Speaker 4: In other words, a three year combined forward is twenty 448 00:24:30,000 --> 00:24:33,440 Speaker 4: percent higher than than last year's three year budget. That's 449 00:24:33,440 --> 00:24:36,359 Speaker 4: basically twenty percent because you're adding one more year or 450 00:24:36,440 --> 00:24:39,239 Speaker 4: something like that. That's a lot of money, you know, 451 00:24:39,280 --> 00:24:40,919 Speaker 4: and it's been going up and up and up and 452 00:24:41,000 --> 00:24:44,159 Speaker 4: up and up every single year because utilities keep spending 453 00:24:44,200 --> 00:24:45,399 Speaker 4: money to improve their grids. 454 00:24:46,440 --> 00:24:49,600 Speaker 2: What's the investment opportunity there though? Do you buy the 455 00:24:49,640 --> 00:24:52,520 Speaker 2: actual utilities or do you buy the sort of like peripheration. 456 00:24:52,800 --> 00:24:55,879 Speaker 4: You can buy some of the utilities, you know, Unfortunately, 457 00:24:55,960 --> 00:24:59,399 Speaker 4: utilities are very interest rate sensitive stocks. So and you know, 458 00:24:59,440 --> 00:25:02,160 Speaker 4: in a day life today, probably I'm guessing because rates 459 00:25:02,240 --> 00:25:03,840 Speaker 4: or op utilities will go down. 460 00:25:04,400 --> 00:25:09,080 Speaker 3: But the market opens in two minutes. 461 00:25:09,320 --> 00:25:12,440 Speaker 4: But I think some of the utilities that are more 462 00:25:12,480 --> 00:25:16,280 Speaker 4: on the greenish side are an interesting opportunity. 463 00:25:16,920 --> 00:25:19,560 Speaker 2: So you've been looking at the infrastructure space for two 464 00:25:19,640 --> 00:25:23,640 Speaker 2: years now, as you mentioned, what was the surprising thing 465 00:25:23,720 --> 00:25:27,840 Speaker 2: you learned or how does this particular industry vary from 466 00:25:28,400 --> 00:25:30,840 Speaker 2: other areas that you have looked at previously. 467 00:25:31,840 --> 00:25:34,919 Speaker 4: I think the big change is that if you take 468 00:25:34,960 --> 00:25:39,400 Speaker 4: all the eighty companies, most of them are what would 469 00:25:39,480 --> 00:25:45,720 Speaker 4: traditionally be considered very cyclical companies, very traditional cyclical, cyclical 470 00:25:45,760 --> 00:25:51,560 Speaker 4: companies with no good secular story other than how's the 471 00:25:51,600 --> 00:25:55,040 Speaker 4: economy doing. And for the first time and since I 472 00:25:55,040 --> 00:25:58,439 Speaker 4: can remember, this whole group now has a real secular story. 473 00:25:58,920 --> 00:26:01,359 Speaker 4: You know, not that they're not sick, they are cyclical, 474 00:26:01,640 --> 00:26:04,919 Speaker 4: but they have secular tailwinds that they've never really had before, 475 00:26:05,080 --> 00:26:07,440 Speaker 4: and those tailwinds are going to last quite a long time. 476 00:26:07,840 --> 00:26:11,640 Speaker 3: That's the change the xcel u E t F has opened. 477 00:26:11,760 --> 00:26:13,640 Speaker 3: It's down a little bit, but down about a tenth 478 00:26:13,680 --> 00:26:16,400 Speaker 3: of a percent. There you go. You can count that. 479 00:26:16,680 --> 00:26:20,119 Speaker 3: Count that count for me. Yeah, count that as a 480 00:26:20,280 --> 00:26:25,720 Speaker 3: w So. Sticking on this theme of the grid and electrification, 481 00:26:26,440 --> 00:26:29,679 Speaker 3: actually you mentioned oh now it's up, it's up, so 482 00:26:29,840 --> 00:26:32,720 Speaker 3: I'm taking it all. Okay, now it's flat. 483 00:26:33,160 --> 00:26:35,439 Speaker 4: Well, you know what they say about our business. Peacock today, 484 00:26:35,480 --> 00:26:36,600 Speaker 4: feather duster tomorrow. 485 00:26:37,280 --> 00:26:39,199 Speaker 3: That's a good one. No, this is the question I 486 00:26:39,200 --> 00:26:42,840 Speaker 3: want to ask those three year projections that the utilities 487 00:26:42,920 --> 00:26:44,920 Speaker 3: are coming up with, and you sort of talk about 488 00:26:44,920 --> 00:26:48,000 Speaker 3: this shift from cyclical industries to secular, how did those 489 00:26:48,040 --> 00:26:51,400 Speaker 3: three year projections compare us a five years ago and 490 00:26:51,560 --> 00:26:53,520 Speaker 3: no one was talking about AI and no one was 491 00:26:53,560 --> 00:26:55,320 Speaker 3: talking about the elect or very. 492 00:26:55,359 --> 00:26:57,160 Speaker 4: I wish I wrot my charge, okay, and I don't 493 00:26:57,160 --> 00:27:00,760 Speaker 4: have my chart, but my guess is that the cap 494 00:27:00,760 --> 00:27:03,800 Speaker 4: the three year CAPEX budget today versus five years ago, 495 00:27:04,160 --> 00:27:07,240 Speaker 4: it's probably fifty percent higher at least. Yeah. 496 00:27:07,240 --> 00:27:10,160 Speaker 3: This is something that Jiggershah who Tracy mentioned, has talked 497 00:27:10,200 --> 00:27:13,200 Speaker 3: about which is then basically for the first time and 498 00:27:13,720 --> 00:27:18,560 Speaker 3: forever actual there's growth, and then demand which there basically 499 00:27:18,600 --> 00:27:19,159 Speaker 3: wasn't before. 500 00:27:19,280 --> 00:27:19,600 Speaker 4: Correct. 501 00:27:20,400 --> 00:27:24,239 Speaker 2: Wait, can I ask something slightly off topic, but I 502 00:27:24,280 --> 00:27:28,800 Speaker 2: think is of interest. So we recently had the sentencing 503 00:27:29,000 --> 00:27:33,560 Speaker 2: of Sam Bankman freed, and he was the subject of 504 00:27:33,600 --> 00:27:36,359 Speaker 2: a Michael Lewis book, as were you in a very 505 00:27:36,440 --> 00:27:38,959 Speaker 2: different capacity. Have you heard from Michael Lewis at all? 506 00:27:39,040 --> 00:27:40,080 Speaker 2: Do you keep in touch with him? 507 00:27:40,320 --> 00:27:42,160 Speaker 4: We haven't spoken in a couple of years now. 508 00:27:42,320 --> 00:27:45,600 Speaker 2: Did you follow the SPF trial very marginally? 509 00:27:45,880 --> 00:27:47,320 Speaker 4: I have really an opinion about it. 510 00:27:47,359 --> 00:27:48,160 Speaker 2: Did you read the book? 511 00:27:48,280 --> 00:27:49,320 Speaker 4: I did not read the book. 512 00:27:49,400 --> 00:27:51,160 Speaker 2: Okay, this isn't a very interesting line. 513 00:27:51,960 --> 00:27:54,679 Speaker 3: I like that was a good line of questioning, Tracy. 514 00:27:54,880 --> 00:27:55,320 Speaker 1: I try. 515 00:27:55,560 --> 00:27:57,080 Speaker 3: It had the potential, had. 516 00:27:56,920 --> 00:27:59,639 Speaker 4: The potential to go somewhere. Unfortunately it's not going on. 517 00:28:00,160 --> 00:28:01,640 Speaker 4: The guest shot it down. 518 00:28:01,800 --> 00:28:05,119 Speaker 2: Yeah, all right. So I hear all this stuff about 519 00:28:05,160 --> 00:28:07,880 Speaker 2: excitement about data centers, and as far as I can tell, 520 00:28:08,000 --> 00:28:11,040 Speaker 2: like part of the play is investing in I guess 521 00:28:11,200 --> 00:28:14,080 Speaker 2: data center reads something like that, Well they're only two. 522 00:28:14,240 --> 00:28:15,160 Speaker 4: Yeah, right? 523 00:28:15,680 --> 00:28:18,720 Speaker 2: Or you invest in like HVAC and the companies that 524 00:28:18,760 --> 00:28:22,359 Speaker 2: do the cooling around them. Yeah, so how do you 525 00:28:22,400 --> 00:28:25,040 Speaker 2: actually play that thesis? That's what I don't get. 526 00:28:25,480 --> 00:28:28,080 Speaker 4: Well, I mean, like I said, you can own everything, 527 00:28:28,320 --> 00:28:29,960 Speaker 4: So I mean, I'm not gonna talk about what I 528 00:28:30,000 --> 00:28:31,960 Speaker 4: have a position at these things. You know, Verdive is 529 00:28:32,119 --> 00:28:35,760 Speaker 4: the sort of the pure play to sell cooling stuff 530 00:28:35,840 --> 00:28:40,080 Speaker 4: into data centers. The stock has gone stratispheric. You know, 531 00:28:40,120 --> 00:28:43,360 Speaker 4: the multiple is really high, so you're playing there's a 532 00:28:43,360 --> 00:28:46,480 Speaker 4: lot of risk in that, not that the fundamentals are bad. 533 00:28:47,040 --> 00:28:50,200 Speaker 4: Equin X and Digital Realty are a more steady eddy 534 00:28:50,280 --> 00:28:53,120 Speaker 4: kind of play. You know, what you're dealing with is 535 00:28:53,160 --> 00:28:59,240 Speaker 4: that the whole AI story is coming and so the 536 00:28:59,280 --> 00:29:01,760 Speaker 4: demand is going to go up, but you're still dealing 537 00:29:01,760 --> 00:29:05,400 Speaker 4: with CAPEX budgets having come down in tech, so the 538 00:29:05,400 --> 00:29:09,400 Speaker 4: growth is still not great or as good as people 539 00:29:09,400 --> 00:29:12,440 Speaker 4: would hope, but it's coming. So that that's seen and 540 00:29:12,520 --> 00:29:14,200 Speaker 4: yang on the data centers and they are only two 541 00:29:14,280 --> 00:29:14,560 Speaker 4: of them. 542 00:29:15,360 --> 00:29:18,320 Speaker 3: One of the things that we've seen with data centers, 543 00:29:18,440 --> 00:29:21,360 Speaker 3: and I think it was a few weeks ago, there 544 00:29:21,360 --> 00:29:24,760 Speaker 3: were some headlines about Microsoft wanting to have on site 545 00:29:24,840 --> 00:29:28,000 Speaker 3: nuclear power generation and we've talked a little bit about 546 00:29:28,000 --> 00:29:31,040 Speaker 3: on this show about the hope the promise of small 547 00:29:31,080 --> 00:29:35,360 Speaker 3: modular reactors, which haven't really taken off, but maybe that 548 00:29:35,400 --> 00:29:39,640 Speaker 3: could be a solution for some of these huge CAPEX data. 549 00:29:39,680 --> 00:29:40,960 Speaker 3: Have you looked at nuclear at all? 550 00:29:41,160 --> 00:29:44,480 Speaker 4: I haven't looked at nuclear. The regulatory situation there is 551 00:29:44,520 --> 00:29:47,360 Speaker 4: just so complicated, you know. The one kind of I 552 00:29:47,360 --> 00:29:49,760 Speaker 4: think it was a Constellation Energy is the utility that's 553 00:29:49,800 --> 00:29:54,680 Speaker 4: done incredibly well because it has nuclear, but it's not creating, 554 00:29:54,800 --> 00:29:57,200 Speaker 4: as far as I know, more nuclear plants. It's just 555 00:29:57,200 --> 00:29:59,320 Speaker 4: that the value of its existing nuclear plants have gone 556 00:29:59,400 --> 00:29:59,880 Speaker 4: up a lot. 557 00:30:00,080 --> 00:30:02,320 Speaker 3: That is a nice looking stock. On the other hand, 558 00:30:03,600 --> 00:30:09,960 Speaker 3: New Scale who's tickers literally SMR standing for small modular reactors, 559 00:30:10,240 --> 00:30:12,120 Speaker 3: That stock has not done so well, though it did 560 00:30:12,120 --> 00:30:14,360 Speaker 3: get a pop. I guess on that Microsoft headline. 561 00:30:15,120 --> 00:30:17,320 Speaker 2: It is interesting. One of the things that's sort of 562 00:30:17,360 --> 00:30:20,880 Speaker 2: emerging from those conversation is even though we're talking about 563 00:30:20,880 --> 00:30:24,040 Speaker 2: new technologies and things like that, a lot of the 564 00:30:24,040 --> 00:30:27,719 Speaker 2: benefits seem to be accruing to the biggest players in 565 00:30:27,760 --> 00:30:30,000 Speaker 2: the market. So like the big companies, I don't think 566 00:30:30,120 --> 00:30:33,360 Speaker 2: this time last year anyone would have expected Microsoft to 567 00:30:33,720 --> 00:30:37,440 Speaker 2: emerge as a leader in AI, and yet that's exactly 568 00:30:37,520 --> 00:30:40,440 Speaker 2: what's happened. Is that what people should be focused on, Like, 569 00:30:40,480 --> 00:30:44,760 Speaker 2: who's going to dominate these CAPEX heavy tech plays. It's 570 00:30:44,840 --> 00:30:46,440 Speaker 2: going to be the guys with the money and the 571 00:30:46,560 --> 00:30:47,920 Speaker 2: like existing connections. 572 00:30:48,200 --> 00:30:50,480 Speaker 4: I mean, that's two parts to this. There's no question 573 00:30:50,600 --> 00:30:53,240 Speaker 4: at this point the dominant players are the big boys 574 00:30:54,160 --> 00:30:56,400 Speaker 4: and they're going to be spending the money. And then 575 00:30:56,520 --> 00:30:59,440 Speaker 4: you know, they'll be interesting smaller companies that create apps, 576 00:30:59,680 --> 00:31:02,320 Speaker 4: and we have no idea who those are at this point. 577 00:31:02,440 --> 00:31:04,360 Speaker 4: None one day they'll show up on your phone. 578 00:31:05,040 --> 00:31:08,080 Speaker 3: Something I'm curious about with the data center reads is 579 00:31:08,120 --> 00:31:10,600 Speaker 3: that their reads. I mean, I'm sure, I know they 580 00:31:10,640 --> 00:31:15,080 Speaker 3: talk about the AI opportunity and the demand for compute 581 00:31:15,080 --> 00:31:18,959 Speaker 3: that's going to in theoretic theoretically keep exploding for years. 582 00:31:19,400 --> 00:31:22,240 Speaker 3: But on the other hand, like they're not Google, they're 583 00:31:22,280 --> 00:31:26,760 Speaker 3: not Amazon with AWS, they're not in Nvidia. Is there 584 00:31:26,760 --> 00:31:30,000 Speaker 3: a risk that like they just can't compete with the 585 00:31:30,040 --> 00:31:33,200 Speaker 3: sort of like specialized, more tech forward companies that are 586 00:31:33,200 --> 00:31:34,240 Speaker 3: at the very cutting edge of this. 587 00:31:35,480 --> 00:31:38,880 Speaker 4: I mean, you know, the hyperscalers want to build their 588 00:31:38,880 --> 00:31:42,640 Speaker 4: own data centers, but you know, an Equinex for example, 589 00:31:43,280 --> 00:31:47,800 Speaker 4: services everybody who's not a hyperscaler, So they will do 590 00:31:48,240 --> 00:31:51,040 Speaker 4: really well when all the apps that are going to 591 00:31:51,040 --> 00:31:53,320 Speaker 4: be created get created and people need to put their 592 00:31:53,320 --> 00:31:56,040 Speaker 4: stuff in the cloud, they'll do it through equinex. So 593 00:31:56,080 --> 00:32:03,680 Speaker 4: it really Digital Realty is more of a hyperscaler. 594 00:32:14,600 --> 00:32:16,880 Speaker 3: Can you see more about Oracle? For a long time 595 00:32:17,480 --> 00:32:19,760 Speaker 3: I sort of thought of that. They always seem to 596 00:32:19,760 --> 00:32:23,000 Speaker 3: be straddling in my mind where it's like, and I 597 00:32:23,000 --> 00:32:25,120 Speaker 3: don't know that much about the company, but they always 598 00:32:25,120 --> 00:32:27,000 Speaker 3: seem to be sort of on the cusp of like, 599 00:32:27,360 --> 00:32:30,600 Speaker 3: are they in the category of the hyperscalers. Are they 600 00:32:30,640 --> 00:32:35,400 Speaker 3: sort of a legacy software database business that you know, well, they. 601 00:32:35,280 --> 00:32:38,880 Speaker 4: Are legacy software database business that's moving to the cloud. Yes, 602 00:32:38,960 --> 00:32:41,440 Speaker 4: they're an AI play. You know. The problem with the 603 00:32:41,480 --> 00:32:43,480 Speaker 4: stock has been that every couple of quarters they have 604 00:32:43,520 --> 00:32:47,520 Speaker 4: a really bad quarter and they say sorry by this 605 00:32:47,560 --> 00:32:50,160 Speaker 4: most right, But in this most recent quarter it seems 606 00:32:50,160 --> 00:32:52,440 Speaker 4: to have at least for now gotten their act together. 607 00:32:52,440 --> 00:32:56,560 Speaker 3: And what's working for them. 608 00:32:55,120 --> 00:32:58,600 Speaker 4: You know, the demand because of AI or moving stuff 609 00:32:58,600 --> 00:33:01,280 Speaker 4: into the cloud, to move their database into the cloud, 610 00:33:01,360 --> 00:33:04,240 Speaker 4: seems to be increasing. Their problem, they say, is that 611 00:33:04,240 --> 00:33:06,720 Speaker 4: they haven't been able to buy enough chips to satisfy 612 00:33:06,760 --> 00:33:09,520 Speaker 4: the demand. You know, when you think about that, that's 613 00:33:09,520 --> 00:33:12,520 Speaker 4: probably it's a better problem to have than the alternative. 614 00:33:13,360 --> 00:33:15,960 Speaker 4: And they seem to be getting their act together, so 615 00:33:16,280 --> 00:33:18,240 Speaker 4: you know, they finally announced a good quarter and people 616 00:33:18,240 --> 00:33:20,240 Speaker 4: got excited about it, which is why the stock finally 617 00:33:20,240 --> 00:33:22,440 Speaker 4: did well. That's a more recent purchase of ours. 618 00:33:23,400 --> 00:33:27,200 Speaker 2: Have you tried any of the AI chatbots yet? Chat gpt, 619 00:33:27,880 --> 00:33:29,800 Speaker 2: you're too old? You know you can make you can 620 00:33:29,840 --> 00:33:31,320 Speaker 2: make comic books on some of them. 621 00:33:32,160 --> 00:33:34,360 Speaker 4: Yes, that you should make a comic book on a 622 00:33:34,600 --> 00:33:35,800 Speaker 4: chat chat Joe. 623 00:33:35,840 --> 00:33:38,120 Speaker 2: I didn't realize Steve's a comic book fan. 624 00:33:38,720 --> 00:33:41,800 Speaker 3: Yes, so is there what's the comic book play? 625 00:33:43,160 --> 00:33:45,680 Speaker 4: There's no comic book investing plan that I know of 626 00:33:45,840 --> 00:33:47,520 Speaker 4: comic You know, the comic bit is a small. 627 00:33:47,280 --> 00:33:49,400 Speaker 3: Business, but you're really into comic books totally. 628 00:33:49,440 --> 00:33:51,320 Speaker 4: I own the one of the largest digital comic book 629 00:33:51,360 --> 00:33:52,360 Speaker 4: collections in the world. 630 00:33:52,840 --> 00:33:53,440 Speaker 3: What does it mean? 631 00:33:54,880 --> 00:33:55,400 Speaker 2: What is that. 632 00:33:57,720 --> 00:33:57,920 Speaker 4: Way? 633 00:33:58,720 --> 00:33:59,080 Speaker 3: What is it? 634 00:33:59,120 --> 00:34:03,280 Speaker 4: Instead of buying a physical book, you now read your 635 00:34:03,280 --> 00:34:07,520 Speaker 4: book on your kindle. So comic books became the same thing. 636 00:34:07,560 --> 00:34:10,279 Speaker 4: There was an app called Comicsology where you would buy 637 00:34:10,320 --> 00:34:14,400 Speaker 4: your comic on Comicsology and you read it on your iPad, 638 00:34:14,600 --> 00:34:17,880 Speaker 4: and Amazon bought it, and so my comic book collection 639 00:34:18,000 --> 00:34:20,319 Speaker 4: is now in my kindle. So the size of my 640 00:34:20,320 --> 00:34:22,680 Speaker 4: comic book collection, I'm very proud to say, as of 641 00:34:22,719 --> 00:34:25,600 Speaker 4: this morning, was ten eight hundred and sixty three comics, 642 00:34:25,800 --> 00:34:28,120 Speaker 4: on which I have read every single one, for real, 643 00:34:28,320 --> 00:34:32,760 Speaker 4: for real, I'm doing this since twenty twelve. 644 00:34:34,880 --> 00:34:37,600 Speaker 3: You know, I imagine, like, I don't know, I mean, 645 00:34:38,719 --> 00:34:41,520 Speaker 3: what's the attraction, what's the attraction spending so much of 646 00:34:41,560 --> 00:34:43,480 Speaker 3: your time here in life? 647 00:34:43,560 --> 00:34:44,280 Speaker 4: I like to read. 648 00:34:44,719 --> 00:34:48,239 Speaker 3: I read a lot of books, read non comic books. 649 00:34:48,680 --> 00:34:52,600 Speaker 4: I read a tremendous number of books, books, nonfiction and fiction, 650 00:34:53,360 --> 00:34:56,239 Speaker 4: and I've always enjoyed reading comics, and the comics have 651 00:34:56,280 --> 00:35:00,600 Speaker 4: actually gotten very, very sophisticated in terms of literature, and 652 00:35:00,760 --> 00:35:01,719 Speaker 4: I enjoy reading them. 653 00:35:02,000 --> 00:35:02,960 Speaker 2: What's your favorite? 654 00:35:03,520 --> 00:35:06,080 Speaker 4: Oh, that's easy. The greatest comic book ever written is 655 00:35:06,120 --> 00:35:09,040 Speaker 4: Sandman Oh by Neil gam Yeah. 656 00:35:09,160 --> 00:35:12,919 Speaker 2: I used to have a Sandman themed tarot card deck 657 00:35:13,160 --> 00:35:14,600 Speaker 2: for some reason, even though I know. 658 00:35:14,840 --> 00:35:17,560 Speaker 4: The first season on Netflix was actually quite good. 659 00:35:17,600 --> 00:35:19,120 Speaker 3: What's it about? I don't know anything about. 660 00:35:19,400 --> 00:35:20,680 Speaker 4: Salmon is the god of dreams. 661 00:35:20,760 --> 00:35:23,480 Speaker 3: My son is into Spider Man, so I'm trying to 662 00:35:23,520 --> 00:35:25,239 Speaker 3: like bond with him by like getting him. 663 00:35:25,280 --> 00:35:27,160 Speaker 4: I could write a dissertation on Spider Man. 664 00:35:27,480 --> 00:35:29,280 Speaker 3: Oh literally, what would. 665 00:35:29,080 --> 00:35:31,719 Speaker 4: You actually have a little might have a literary theory 666 00:35:31,719 --> 00:35:32,279 Speaker 4: of Spider Man. 667 00:35:32,320 --> 00:35:34,160 Speaker 3: Good, tell me this. I need some stuff to like 668 00:35:34,200 --> 00:35:35,640 Speaker 3: bond with my son over this. 669 00:35:36,280 --> 00:35:38,640 Speaker 4: Well, you should get your son to read the newer 670 00:35:38,680 --> 00:35:42,040 Speaker 4: Spider Man who's called Miles Morales. Oh yeah, he loves 671 00:35:42,400 --> 00:35:45,520 Speaker 4: Lyles Miles. So my literary theory on Spider Man is 672 00:35:45,520 --> 00:35:49,120 Speaker 4: that Peter Parker was actually Jewish. 673 00:35:49,160 --> 00:35:51,839 Speaker 3: Metaphor keep going, see here's why. 674 00:35:51,840 --> 00:35:53,640 Speaker 4: So first of all, the guy who created him, Stanley 675 00:35:53,880 --> 00:35:58,160 Speaker 4: is Jewish or was Jewish. Who is Peter Parker? So 676 00:35:58,200 --> 00:36:04,960 Speaker 4: Peter Parker is raised by his elderly, kindly aunt who 677 00:36:05,000 --> 00:36:12,200 Speaker 4: looks like your Jewish grandmother. He marries the girl next door, 678 00:36:12,719 --> 00:36:17,880 Speaker 4: who's who's the gorgeous non Jewish girls every Jewish boys fantasy, 679 00:36:18,480 --> 00:36:21,640 Speaker 4: and and and he and he's consumed by he's a 680 00:36:21,680 --> 00:36:24,800 Speaker 4: science geek nerd. And he's consumed by a sense of 681 00:36:24,800 --> 00:36:28,360 Speaker 4: guilt and social responsibility. So who is that? That's that 682 00:36:28,520 --> 00:36:31,439 Speaker 4: Jewish kid? This is this that's my literary theory. I've 683 00:36:31,440 --> 00:36:32,759 Speaker 4: had it for a very long time. 684 00:36:33,800 --> 00:36:35,560 Speaker 3: Do you think Superman is Jewish. 685 00:36:35,600 --> 00:36:41,000 Speaker 4: Definitely not, absolutely not, although he was created by Jewish guys. 686 00:36:41,280 --> 00:36:43,799 Speaker 3: Yeah, because I thought he was Jewish because some of 687 00:36:43,840 --> 00:36:47,319 Speaker 3: the other names of his like relatives, and I don't Again, 688 00:36:47,400 --> 00:36:49,160 Speaker 3: I'm not a big comic person, but like they have 689 00:36:49,400 --> 00:36:52,600 Speaker 3: sort of I thought they sounded sort of Niskay, you're 690 00:36:52,640 --> 00:36:53,080 Speaker 3: way off. 691 00:36:53,160 --> 00:36:57,360 Speaker 2: Okay, I'm desperately trying to think of some sort of 692 00:36:57,360 --> 00:36:59,120 Speaker 2: finance or markets related. 693 00:36:58,800 --> 00:36:59,880 Speaker 3: Comic book, some way to bring this. 694 00:37:02,760 --> 00:37:04,080 Speaker 2: We could just talk about comic books. 695 00:37:04,120 --> 00:37:05,400 Speaker 4: Well, the only thing you could bring it up to 696 00:37:05,560 --> 00:37:08,719 Speaker 4: is I have no opinion on Disney, Okay, but I 697 00:37:08,719 --> 00:37:10,120 Speaker 4: can tell you what I think is wrong with the 698 00:37:10,120 --> 00:37:11,560 Speaker 4: Marvel comic book movies. 699 00:37:11,680 --> 00:37:14,000 Speaker 2: Tell us Disney owns. 700 00:37:14,239 --> 00:37:16,239 Speaker 4: Disney owns Marvel, and that's been a big source of 701 00:37:16,280 --> 00:37:20,279 Speaker 4: their profitability. So I think the problem with Marvel is 702 00:37:20,320 --> 00:37:24,080 Speaker 4: that they've lost their story. And they are two parts 703 00:37:24,120 --> 00:37:26,480 Speaker 4: of this. So part one was they had a great story. 704 00:37:26,840 --> 00:37:29,759 Speaker 4: It was a very complicated story where the villain only 705 00:37:29,800 --> 00:37:33,520 Speaker 4: got revealed years after they started the whole process. You know, 706 00:37:33,560 --> 00:37:35,920 Speaker 4: it was multiple stories with tangents, but in the end 707 00:37:36,040 --> 00:37:38,520 Speaker 4: all wolve it's way back into the last two movies. 708 00:37:39,280 --> 00:37:42,400 Speaker 4: And then it was over, and they have not been 709 00:37:42,440 --> 00:37:44,880 Speaker 4: able to find a new story, and they've been basically 710 00:37:44,920 --> 00:37:48,720 Speaker 4: floundering because they don't have one. And the other major problem, 711 00:37:48,719 --> 00:37:51,799 Speaker 4: which is even more serious than the first, is that 712 00:37:53,480 --> 00:37:57,160 Speaker 4: there's a concept in comics called the trinity. So in 713 00:37:57,280 --> 00:38:00,760 Speaker 4: DC it's Superman, Batman, and Wonder Woman. That's the core, 714 00:38:01,280 --> 00:38:04,839 Speaker 4: And in Marvel it's Captain America, Thor and Iron Man. 715 00:38:05,640 --> 00:38:07,399 Speaker 4: And at the end of the last Marvel comic, iron 716 00:38:07,440 --> 00:38:11,839 Speaker 4: Man's dead. Captain America is over ninety years old, and unfortunately, 717 00:38:11,880 --> 00:38:14,000 Speaker 4: since then, Thor has been made into a comedic joke. 718 00:38:14,640 --> 00:38:17,000 Speaker 4: So you've lost your trinity. So even if you had 719 00:38:17,000 --> 00:38:19,479 Speaker 4: a story, nobody, I don't who's going to care because 720 00:38:19,680 --> 00:38:22,080 Speaker 4: because people care about those three characters with anything else 721 00:38:22,120 --> 00:38:24,480 Speaker 4: and they're gone, can't make thesis. 722 00:38:24,560 --> 00:38:26,160 Speaker 2: They you just start the whole thing over. Well, you 723 00:38:26,160 --> 00:38:27,480 Speaker 2: can read both Spider. 724 00:38:27,200 --> 00:38:29,399 Speaker 4: Man, but you know you have to get new, Uh, 725 00:38:29,640 --> 00:38:31,080 Speaker 4: you have to start for fresh. I don't know if 726 00:38:31,080 --> 00:38:32,360 Speaker 4: they're willing to do that yet. 727 00:38:32,719 --> 00:38:35,759 Speaker 3: This is such a refreshing, interesting take. We could just 728 00:38:35,800 --> 00:38:38,480 Speaker 3: talk about this because I do know like as someone 729 00:38:38,560 --> 00:38:40,600 Speaker 3: who I kind of like going to the movies, but 730 00:38:41,160 --> 00:38:43,040 Speaker 3: unlike you, I was never a big comic book reader 731 00:38:43,480 --> 00:38:46,680 Speaker 3: during that sort of Marvel era of movies, when it 732 00:38:46,760 --> 00:38:49,080 Speaker 3: just seemed like the only movies that were in the 733 00:38:49,080 --> 00:38:51,799 Speaker 3: theaters were just these endless superhero movies. I just like 734 00:38:51,840 --> 00:38:55,040 Speaker 3: totally tuned down, and so I was there religiously. 735 00:38:55,239 --> 00:38:55,439 Speaker 4: Yeah. 736 00:38:55,480 --> 00:38:58,319 Speaker 3: So, but I for one was like kind of I 737 00:38:58,360 --> 00:39:01,960 Speaker 3: am relieved and sort of the idea of Hollywood's are 738 00:39:02,120 --> 00:39:06,359 Speaker 3: going post superhero and maybe making movies again like Oppenheimer 739 00:39:06,440 --> 00:39:07,200 Speaker 3: with normal people. 740 00:39:07,239 --> 00:39:08,919 Speaker 4: By the way, Dune Part two was very good. 741 00:39:09,200 --> 00:39:10,120 Speaker 3: I've been meaning to. 742 00:39:10,320 --> 00:39:11,080 Speaker 2: I haven't seen it yet. 743 00:39:11,120 --> 00:39:14,520 Speaker 3: No spoilers, I haven't seen it yet either, but I 744 00:39:14,520 --> 00:39:16,640 Speaker 3: don't know. I for one am excited about a sort 745 00:39:16,640 --> 00:39:18,040 Speaker 3: of post superhero. 746 00:39:18,400 --> 00:39:22,440 Speaker 4: That's that's fine. I'm just talking about the problem with Marvelers. Yeah, 747 00:39:22,640 --> 00:39:26,000 Speaker 4: but it's but it's a big connect to Disney. 748 00:39:26,120 --> 00:39:27,280 Speaker 3: But right, but it's connected. 749 00:39:27,360 --> 00:39:27,480 Speaker 4: Right. 750 00:39:27,520 --> 00:39:29,680 Speaker 3: So it's like these stories have just gotten tired for 751 00:39:29,719 --> 00:39:32,279 Speaker 3: people because there's nowhere to go for them. 752 00:39:32,440 --> 00:39:35,560 Speaker 4: Well, you you need a new story, you need and 753 00:39:35,600 --> 00:39:38,040 Speaker 4: they haven't found one, you know. So if I go back, 754 00:39:38,320 --> 00:39:40,520 Speaker 4: you know, and I'll show you how into this. I 755 00:39:40,560 --> 00:39:43,759 Speaker 4: Am Loki. Season three was terrible. The Marvel's movie, which 756 00:39:43,800 --> 00:39:46,799 Speaker 4: is recently was awful. Guardians of the Game, Like, what 757 00:39:46,840 --> 00:39:48,880 Speaker 4: made it awful? Because they all look awful. It was 758 00:39:48,960 --> 00:39:53,719 Speaker 4: just stupid. The story was dumb, it wasn't interesting, and 759 00:39:53,760 --> 00:39:55,600 Speaker 4: they tried to make it too much of a They 760 00:39:55,600 --> 00:39:57,720 Speaker 4: have a tendency to try and make the movies too funny, 761 00:39:58,120 --> 00:40:01,520 Speaker 4: and it doesn't translate very well anymore. And then the 762 00:40:01,560 --> 00:40:05,080 Speaker 4: Guardians of the Galaxy Part three was so boring. I 763 00:40:05,120 --> 00:40:06,440 Speaker 4: almost walked out three times. 764 00:40:06,840 --> 00:40:09,440 Speaker 2: Was that one disturbed me because there's a lot of 765 00:40:09,440 --> 00:40:11,640 Speaker 2: animal cruelty in that one and it was just kind 766 00:40:11,640 --> 00:40:12,879 Speaker 2: of sad to watch. 767 00:40:13,040 --> 00:40:14,880 Speaker 4: There was a lot of animal cruelty to it. They 768 00:40:14,920 --> 00:40:17,440 Speaker 4: tried to make it relevant. Yeah, it was just a 769 00:40:17,480 --> 00:40:18,240 Speaker 4: bad story. 770 00:40:18,840 --> 00:40:22,600 Speaker 2: Yeah. Has the market for comic books changed in the 771 00:40:22,719 --> 00:40:25,160 Speaker 2: sense that so everyone knows if you have a really 772 00:40:25,160 --> 00:40:28,720 Speaker 2: successful comic book. Nowadays you can get a franchise attached 773 00:40:28,760 --> 00:40:32,480 Speaker 2: to a film franchise. Does anyone come up with characters 774 00:40:32,520 --> 00:40:35,400 Speaker 2: based on the idea of like what will play well 775 00:40:35,640 --> 00:40:39,279 Speaker 2: on screen? Overall? It feels like you don't actually get 776 00:40:39,320 --> 00:40:41,880 Speaker 2: that many new characters in new comic books. 777 00:40:41,920 --> 00:40:43,400 Speaker 4: That many new comics there really. 778 00:40:43,320 --> 00:40:46,200 Speaker 2: Are seems a shame. It seems like it would solve 779 00:40:46,239 --> 00:40:48,279 Speaker 2: the story problem if we were actually coming up with 780 00:40:48,320 --> 00:40:48,920 Speaker 2: new stories. 781 00:40:49,840 --> 00:40:52,160 Speaker 4: Well, there's new stories, and then there's new characters. There's 782 00:40:52,160 --> 00:40:55,160 Speaker 4: always new stories. But you know the problem with Marvel 783 00:40:55,239 --> 00:40:56,920 Speaker 4: is they don't have a story. They just don't have 784 00:40:56,960 --> 00:40:57,400 Speaker 4: a story. 785 00:40:58,400 --> 00:41:01,000 Speaker 3: I didn't realize that. I didn't anything about this. I 786 00:41:01,080 --> 00:41:03,880 Speaker 3: just sort of assumed that there every superhero thing was 787 00:41:03,920 --> 00:41:06,760 Speaker 3: just sort of this endless story that could go on forever. 788 00:41:06,800 --> 00:41:07,919 Speaker 3: Well it does. 789 00:41:08,000 --> 00:41:11,040 Speaker 4: But when you're making movies, yeah, you know, they what 790 00:41:11,080 --> 00:41:15,560 Speaker 4: they had was this They had all these different origin stories. 791 00:41:15,680 --> 00:41:17,319 Speaker 4: But then at the end of the day, all the 792 00:41:17,360 --> 00:41:21,120 Speaker 4: movies were going towards this one central story, which was 793 00:41:21,160 --> 00:41:23,960 Speaker 4: the last two movies, and then it was over. So 794 00:41:24,000 --> 00:41:25,879 Speaker 4: now you got to like start again, and they haven't 795 00:41:25,920 --> 00:41:27,840 Speaker 4: been able to find how to start again. 796 00:41:28,280 --> 00:41:32,160 Speaker 2: Here's my desperate attempt to bring us back to our 797 00:41:32,280 --> 00:41:36,719 Speaker 2: core content. If you could come up with a comic finance, 798 00:41:36,880 --> 00:41:41,440 Speaker 2: investing markets economics crossover, what would it be? 799 00:41:43,760 --> 00:41:45,759 Speaker 4: Oh, boy, I don't know, I don't know. 800 00:41:45,840 --> 00:41:47,960 Speaker 2: That's that's that's super portfolio. 801 00:41:48,480 --> 00:41:50,440 Speaker 4: No, no, you know. I used to joke when I 802 00:41:50,440 --> 00:41:54,880 Speaker 4: was Halloween, I'd take my kids around just as me 803 00:41:55,000 --> 00:41:57,480 Speaker 4: and they'd say, who I say, I'm a hedge fund manager. 804 00:41:57,520 --> 00:41:58,680 Speaker 4: I'm the scariest person. 805 00:42:00,880 --> 00:42:01,680 Speaker 2: That's low effort. 806 00:42:02,520 --> 00:42:04,840 Speaker 3: Should we go back to some of your big themes? 807 00:42:04,920 --> 00:42:07,879 Speaker 4: Sure? Why not? Okay, this was more fun though. 808 00:42:08,239 --> 00:42:11,000 Speaker 3: I mean, actually, this has been a true light bulb 809 00:42:11,040 --> 00:42:13,440 Speaker 3: moment because all I knew is that people weren't really 810 00:42:13,480 --> 00:42:15,239 Speaker 3: watching the Marvel movie is the way they were three 811 00:42:15,360 --> 00:42:18,640 Speaker 3: or four year old. And now for the first time 812 00:42:18,920 --> 00:42:19,799 Speaker 3: it took me. 813 00:42:19,960 --> 00:42:22,120 Speaker 4: Especially now that one of my favorite characters has always 814 00:42:22,160 --> 00:42:24,640 Speaker 4: been four h huh and the last movie was so bad. 815 00:42:24,640 --> 00:42:28,400 Speaker 4: I was offended. Really, yes, it's like, how dare you 816 00:42:28,440 --> 00:42:29,400 Speaker 4: do that to my character? 817 00:42:30,000 --> 00:42:33,880 Speaker 3: Interesting? God, I really don't know exactly where to take this, 818 00:42:34,160 --> 00:42:37,200 Speaker 3: but let's I want to let's just maybe go back 819 00:42:37,200 --> 00:42:41,560 Speaker 3: to some of the infrastructure sure questions. It sounds to 820 00:42:41,600 --> 00:42:45,200 Speaker 3: me like and maybe this is a sort of investing 821 00:42:45,440 --> 00:42:48,799 Speaker 3: philosophy question. And you mentioned the sort of the cell 822 00:42:48,880 --> 00:42:52,480 Speaker 3: side analyst arbitrage with that one company that got listed here. 823 00:42:52,960 --> 00:42:55,160 Speaker 3: You mentioned the fact that even if there's a change 824 00:42:55,200 --> 00:42:59,200 Speaker 3: in administration, that doesn't necessarily change the underlying stories. It 825 00:42:59,280 --> 00:43:03,160 Speaker 3: sounds to me like, from a philosophical perspective, your view 826 00:43:03,440 --> 00:43:08,000 Speaker 3: is there are big long term trends and don't count. 827 00:43:07,719 --> 00:43:10,920 Speaker 3: Don't presume they're all priced in immediately. Even if we 828 00:43:10,960 --> 00:43:14,400 Speaker 3: can all agree that there's ten years of growing electricity demand, 829 00:43:14,440 --> 00:43:18,480 Speaker 3: there's ten years of demand for greater cooling solutions or 830 00:43:18,520 --> 00:43:20,680 Speaker 3: whatever it is, or more cement or more copper. 831 00:43:21,440 --> 00:43:24,120 Speaker 4: I'm not a great believer in it's all priced in. Yeah, 832 00:43:24,160 --> 00:43:26,480 Speaker 4: that's I don't subscribe to me. 833 00:43:26,600 --> 00:43:28,120 Speaker 3: Yeah, that's sort of one that I wanted to get 834 00:43:28,120 --> 00:43:30,000 Speaker 3: you on, Like, how do you think about that question? 835 00:43:30,040 --> 00:43:32,000 Speaker 3: Because I have, like the way I think I have 836 00:43:32,080 --> 00:43:34,120 Speaker 3: journalists brands, so I assumed if I know about it, 837 00:43:34,120 --> 00:43:34,920 Speaker 3: it's already priced in. 838 00:43:36,040 --> 00:43:37,920 Speaker 4: I mean, you know what people say, it's all priced in. 839 00:43:38,000 --> 00:43:40,799 Speaker 4: My question to them is always how do you know? 840 00:43:40,840 --> 00:43:43,200 Speaker 4: Did you get the old planet Earth into group therapy? 841 00:43:43,239 --> 00:43:45,080 Speaker 4: And ask everybody like is it priced in? 842 00:43:45,320 --> 00:43:45,400 Speaker 1: Like? 843 00:43:45,520 --> 00:43:47,560 Speaker 4: How would you know that? Look, this is a story. 844 00:43:48,080 --> 00:43:49,920 Speaker 4: It's a story that's going to last a long time, 845 00:43:50,000 --> 00:43:51,719 Speaker 4: and as long as it keeps going, people are going 846 00:43:51,760 --> 00:43:53,200 Speaker 4: to want to own it. I mean it gets back 847 00:43:53,200 --> 00:43:56,320 Speaker 4: to what I said before. In good times, people traffic 848 00:43:56,400 --> 00:43:59,040 Speaker 4: and stories and as long as the story is there 849 00:44:00,200 --> 00:44:01,759 Speaker 4: by the stock. I mean, if you go back to 850 00:44:02,360 --> 00:44:05,680 Speaker 4: you know the Internet bubble. What killed the Internet bubble? 851 00:44:06,000 --> 00:44:09,520 Speaker 4: It wasn't valuation. It wasn't that it was all priced in. 852 00:44:09,880 --> 00:44:12,759 Speaker 4: What killed it was that the US engine to a 853 00:44:12,840 --> 00:44:18,120 Speaker 4: recession and these companies' fundamentals fell apart. That's what killed It. 854 00:44:18,120 --> 00:44:20,960 Speaker 4: Wasn't that that they were very expensive. Well obviously they 855 00:44:21,000 --> 00:44:24,600 Speaker 4: were in retrospect. So this, you know, they have this 856 00:44:24,640 --> 00:44:26,279 Speaker 4: infrastructure store. I think it is just going to go 857 00:44:26,320 --> 00:44:28,640 Speaker 4: on for a very very long time. And as long 858 00:44:28,680 --> 00:44:30,920 Speaker 4: as that's the case, people want to own so many stocks. 859 00:44:31,840 --> 00:44:34,640 Speaker 2: All right, Steve, it was so good talking to you again. 860 00:44:34,800 --> 00:44:38,480 Speaker 2: We talked about infrastructure, AI, crypto, and of course comic books. 861 00:44:38,560 --> 00:44:41,080 Speaker 2: Slightly unexpected, but a lot of fun. Thank you so 862 00:44:41,160 --> 00:44:56,000 Speaker 2: much for coming back on our thoughts. Thank you, Joe. 863 00:44:56,000 --> 00:44:58,279 Speaker 2: That was really fun. I did not expect us to 864 00:44:58,320 --> 00:45:01,239 Speaker 2: spend twenty minutes talking about books, but I enjoyed it. 865 00:45:01,320 --> 00:45:03,319 Speaker 3: No, I'm really excited tonight. Like I said, I'm going 866 00:45:03,400 --> 00:45:05,640 Speaker 3: to go home and tell my son that like him, 867 00:45:05,760 --> 00:45:08,920 Speaker 3: Peter Parker is Jewish, and see if that mean. Like 868 00:45:08,960 --> 00:45:11,160 Speaker 3: I said, I got a bond with my son over 869 00:45:11,200 --> 00:45:13,319 Speaker 3: his Spider Man affinity. So that'll be a line. 870 00:45:13,520 --> 00:45:15,960 Speaker 2: You got to develop a literary theory of Spider Man, 871 00:45:16,160 --> 00:45:18,320 Speaker 2: just like Steve. That's what you need to do. No, 872 00:45:18,520 --> 00:45:20,279 Speaker 2: there is a lot of interesting stuff in there. I 873 00:45:20,320 --> 00:45:23,399 Speaker 2: thought the point about stories, so you know, in good 874 00:45:23,440 --> 00:45:26,720 Speaker 2: times people are into stories, and then what really tends 875 00:45:26,760 --> 00:45:29,760 Speaker 2: to knock those theses are when the bad times start, 876 00:45:29,880 --> 00:45:33,120 Speaker 2: and that's when things start crumbling. So far, you know, again, 877 00:45:33,160 --> 00:45:36,640 Speaker 2: it is now April of twenty twenty four. We do 878 00:45:36,760 --> 00:45:40,800 Speaker 2: not seem to be on the immediate cusp of a recession, 879 00:45:40,880 --> 00:45:43,920 Speaker 2: so you can see why people continue to get excited 880 00:45:44,000 --> 00:45:46,719 Speaker 2: about these stories. The other thing I thought was interesting 881 00:45:47,040 --> 00:45:49,279 Speaker 2: was the idea that like, okay, well, a lot of 882 00:45:49,280 --> 00:45:53,120 Speaker 2: the infrastructure programs have been started under the Biden administration. Yeah, 883 00:45:53,160 --> 00:45:57,239 Speaker 2: but there are aspects and themes that emanated from the 884 00:45:57,280 --> 00:46:01,680 Speaker 2: Trump administration, so things like the subsidy for solar panels 885 00:46:01,680 --> 00:46:03,960 Speaker 2: in the fact that we're not importing as many Chinese 886 00:46:03,960 --> 00:46:07,239 Speaker 2: solar power panels as we used to and that would 887 00:46:07,280 --> 00:46:11,560 Speaker 2: be expected to continue. So yeah, that was interesting totally. 888 00:46:12,040 --> 00:46:14,600 Speaker 3: In general, I liked his point at the very end 889 00:46:14,640 --> 00:46:18,040 Speaker 3: about his belief that things aren't just priced in immediately 890 00:46:18,080 --> 00:46:20,160 Speaker 3: and as long as things are good, people will write 891 00:46:20,200 --> 00:46:24,120 Speaker 3: the story I mean, look, so a year ago. By 892 00:46:24,160 --> 00:46:27,799 Speaker 3: a year ago, so April twenty twenty three, it was 893 00:46:27,920 --> 00:46:33,319 Speaker 3: unambiguously understood that in video was a key player in AI, right, 894 00:46:33,360 --> 00:46:36,480 Speaker 3: it was everyone had used Chad GPT by that point, 895 00:46:36,520 --> 00:46:39,520 Speaker 3: everyone knew was trained on in video chips. Everyone's like, oh, 896 00:46:39,560 --> 00:46:42,480 Speaker 3: this is crazy, And in that time, in video is 897 00:46:42,600 --> 00:46:45,440 Speaker 3: up over fourfold. And I don't think there's like some 898 00:46:45,640 --> 00:46:49,719 Speaker 3: new information that about in video or AI that's come out. 899 00:46:49,760 --> 00:46:52,879 Speaker 3: It's basically like, oh, just the storage is very good. 900 00:46:52,880 --> 00:46:54,920 Speaker 3: And maybe some of the numbers and the degree to 901 00:46:54,920 --> 00:46:57,279 Speaker 3: which other companies have piled in or wanted to buy 902 00:46:57,320 --> 00:47:00,680 Speaker 3: chips is true. But to his point, these this idea 903 00:47:00,719 --> 00:47:02,680 Speaker 3: that it's all priced in the moment we're aware of 904 00:47:02,719 --> 00:47:05,600 Speaker 3: the situation is probably a good thing to internalize. 905 00:47:05,719 --> 00:47:08,400 Speaker 2: Yes, And I always think life would be so boring 906 00:47:08,520 --> 00:47:11,000 Speaker 2: if you went around just assuming that everything was priced 907 00:47:11,040 --> 00:47:13,560 Speaker 2: in immediately, right, Like, what are we even doing here? 908 00:47:13,719 --> 00:47:15,799 Speaker 2: If we really believe that? 909 00:47:16,080 --> 00:47:19,279 Speaker 3: Yeah, why do we have a investment industry at all? 910 00:47:19,400 --> 00:47:21,359 Speaker 3: If everything I kind of still believe that, but. 911 00:47:21,480 --> 00:47:23,840 Speaker 2: I don't take I refuse to believe it. 912 00:47:24,360 --> 00:47:27,080 Speaker 3: Well, you would be a better investor than I would, No. 913 00:47:27,400 --> 00:47:29,799 Speaker 2: I wouldn't okay, shall we leave it there? 914 00:47:29,920 --> 00:47:30,640 Speaker 3: Let's leave it there. 915 00:47:30,760 --> 00:47:33,400 Speaker 2: This has been another episode of the Odd Thoughts podcast. 916 00:47:33,480 --> 00:47:36,680 Speaker 2: I'm Tracy Alloway. You can follow me at Tracy Alloway and. 917 00:47:36,600 --> 00:47:39,040 Speaker 3: I'm Joe Wisenthal. You can follow me at the Stalwart. 918 00:47:39,360 --> 00:47:42,840 Speaker 3: Follow our producers Carmen Rodriguez at Carman Arman dash Ol 919 00:47:42,880 --> 00:47:46,160 Speaker 3: Bennett at Dashbot and kel Brooks at Keil Brooks. Thank 920 00:47:46,200 --> 00:47:49,360 Speaker 3: you to our producer Moses Ondam. 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