1 00:00:02,440 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,400 --> 00:00:09,240 Speaker 2: Let's check in with our next guest here, Steve Iiceman, 3 00:00:09,320 --> 00:00:12,120 Speaker 2: senior portfolio manager at newburg Or Berman. All right, I'm 4 00:00:12,160 --> 00:00:15,040 Speaker 2: looking at I guess Steve, you're on the Odd Lots 5 00:00:15,200 --> 00:00:19,360 Speaker 2: podcast recently and you said that you are bullish on 6 00:00:19,480 --> 00:00:23,840 Speaker 2: stocks that gain from artificial intelligence power needs. What does 7 00:00:23,840 --> 00:00:24,200 Speaker 2: that mean? 8 00:00:25,200 --> 00:00:27,440 Speaker 1: Well, good question, thank you. 9 00:00:27,680 --> 00:00:29,800 Speaker 2: I'm front running Alex because Alex is our energy. 10 00:00:29,920 --> 00:00:35,080 Speaker 1: The current the current GPUs use about three times more 11 00:00:35,120 --> 00:00:39,519 Speaker 1: electricity than your typical CPU. So the grid in the 12 00:00:39,600 --> 00:00:44,320 Speaker 1: United States has been under pressure now for years. You know, 13 00:00:44,600 --> 00:00:49,040 Speaker 1: utilities keep increasing their CAPBAX budgets, and now you've put 14 00:00:49,080 --> 00:00:51,839 Speaker 1: an entire new pressure on the on the grid. So 15 00:00:51,960 --> 00:00:54,880 Speaker 1: whatever money is being spent on the grid is going 16 00:00:54,960 --> 00:00:57,440 Speaker 1: to keep going up, probably for the next ten years. 17 00:00:58,040 --> 00:01:00,600 Speaker 1: So just to give you just one stock for example, 18 00:01:00,640 --> 00:01:04,440 Speaker 1: you know, when utilities announce that they're increasing their CAPEX budgets, 19 00:01:05,080 --> 00:01:07,360 Speaker 1: utilities don't actually do anything. You know. What they do 20 00:01:07,400 --> 00:01:09,199 Speaker 1: is they send you electricity and send you a build. 21 00:01:09,680 --> 00:01:12,800 Speaker 1: But in terms of construction, that's sun by a company 22 00:01:12,840 --> 00:01:17,000 Speaker 1: called Quanta, which is the largest engineering construction company for utilities. 23 00:01:17,040 --> 00:01:19,080 Speaker 1: So The only thing I would tell you is that 24 00:01:19,720 --> 00:01:23,559 Speaker 1: every time the CEO gets on the quarterly conference call, 25 00:01:23,800 --> 00:01:24,840 Speaker 1: he just looks happier. 26 00:01:26,280 --> 00:01:29,399 Speaker 3: That's fair. Yes, if you demand's going to. 27 00:01:29,400 --> 00:01:31,680 Speaker 1: Grow up by it has no to do with himself. 28 00:01:31,680 --> 00:01:34,800 Speaker 1: He can't satisfy all of the demands. So that's just 29 00:01:34,800 --> 00:01:37,080 Speaker 1: just one example. But there are other companies that benefit 30 00:01:37,120 --> 00:01:38,840 Speaker 1: as well. But that I look, I think there are 31 00:01:38,840 --> 00:01:45,319 Speaker 1: three major themes of our time, AI, infrastructure, and crypto, 32 00:01:45,600 --> 00:01:47,040 Speaker 1: and I believe in the first two and I don't 33 00:01:47,040 --> 00:01:47,680 Speaker 1: believe in the third. 34 00:01:48,200 --> 00:01:51,080 Speaker 4: So just for framing here, I mean, you really made 35 00:01:51,120 --> 00:01:54,760 Speaker 4: your name through the housing crisis and betting against housing 36 00:01:54,840 --> 00:01:58,000 Speaker 4: debt back in two thousand and eight. You're portrayed in 37 00:01:58,040 --> 00:01:59,800 Speaker 4: the Big short film by Steve Carell. 38 00:02:00,120 --> 00:02:01,560 Speaker 1: Had to bring that up, but okay. 39 00:02:01,440 --> 00:02:03,840 Speaker 3: I did, But just just to give context. 40 00:02:03,920 --> 00:02:06,200 Speaker 4: If our viewers or listeners don't know, like you have 41 00:02:06,240 --> 00:02:09,880 Speaker 4: a history of betting, having contrarian bets that pay off 42 00:02:09,919 --> 00:02:13,800 Speaker 4: big time. Yes, what would be that contrarian bet out 43 00:02:13,800 --> 00:02:15,919 Speaker 4: of the three things you just said, what's that big 44 00:02:15,960 --> 00:02:16,720 Speaker 4: contrarian bet. 45 00:02:17,880 --> 00:02:19,880 Speaker 1: I don't have a contrarian bet here. I mean I 46 00:02:19,880 --> 00:02:20,600 Speaker 1: don't like crypto. 47 00:02:20,800 --> 00:02:22,120 Speaker 3: I like in crypto feels contrarian. 48 00:02:22,240 --> 00:02:24,200 Speaker 1: Well, it's contrarian, and that says that I don't believe 49 00:02:24,240 --> 00:02:26,560 Speaker 1: in it. I think the whole thesis behind it is wrong. 50 00:02:26,760 --> 00:02:31,000 Speaker 1: But you know, shortening a cult when there's no when 51 00:02:31,040 --> 00:02:33,959 Speaker 1: there's no data to prove that it's wrong, because a 52 00:02:34,000 --> 00:02:36,200 Speaker 1: death wish, you know, So what do I mean by that? 53 00:02:36,480 --> 00:02:39,560 Speaker 1: So when you when I bet again subprime mortgages. Every 54 00:02:39,560 --> 00:02:45,040 Speaker 1: month securitizations produce data. They give every single credit quality 55 00:02:45,120 --> 00:02:47,359 Speaker 1: data possible, so every month you could check it. 56 00:02:48,200 --> 00:02:48,840 Speaker 3: You could look at it. 57 00:02:49,080 --> 00:02:50,919 Speaker 1: Every month you looked at the fact and that and 58 00:02:50,919 --> 00:02:54,200 Speaker 1: that fact. Credit quality was the major determinant of the 59 00:02:54,280 --> 00:02:57,760 Speaker 1: value of subprime mortgage paper. So you had a data 60 00:02:57,800 --> 00:03:03,080 Speaker 1: point every month, a massive data dump. Crypto trades on ether. 61 00:03:04,160 --> 00:03:07,400 Speaker 1: You know, what is a trade The thesis that crypto 62 00:03:08,080 --> 00:03:10,880 Speaker 1: of crypto is that it's a hedge against fear currency, 63 00:03:10,960 --> 00:03:13,560 Speaker 1: so it's like digital gold. But it doesn't trade like that. 64 00:03:13,720 --> 00:03:18,320 Speaker 1: It trades in perfect correlation with NASDAC, so it trades 65 00:03:18,360 --> 00:03:21,080 Speaker 1: against its own thesis. So what data point is there 66 00:03:21,160 --> 00:03:25,320 Speaker 1: to show that crypto is wrong? I mean, if the 67 00:03:25,320 --> 00:03:28,720 Speaker 1: deficit came down, it's not relevant because that's not how 68 00:03:28,720 --> 00:03:32,600 Speaker 1: it trades anyway, so there's nothing to do. What's your 69 00:03:32,639 --> 00:03:33,400 Speaker 1: macro call here? 70 00:03:33,440 --> 00:03:35,360 Speaker 2: I mean, there's a lot of folks in the marketplace saying, 71 00:03:36,120 --> 00:03:38,800 Speaker 2: you know, this Federal Reserve is going to cut rates 72 00:03:38,840 --> 00:03:41,200 Speaker 2: in twenty twenty four, maybe not as many times as 73 00:03:41,200 --> 00:03:44,160 Speaker 2: we originally thought, maybe not as much as we originally thought, 74 00:03:44,160 --> 00:03:46,839 Speaker 2: but that this economy is in good shape, but still 75 00:03:46,840 --> 00:03:49,120 Speaker 2: there might be some rate cuts here. Is that kind 76 00:03:49,160 --> 00:03:51,600 Speaker 2: of the backdrop that's for you? Or how do you 77 00:03:51,600 --> 00:03:52,080 Speaker 2: think about it? 78 00:03:52,080 --> 00:03:53,320 Speaker 1: I mean, the way I think about it is that 79 00:03:53,840 --> 00:03:55,960 Speaker 1: Powell is a dove. He has always been a dove. 80 00:03:56,160 --> 00:04:00,160 Speaker 1: Raising rates was completely against his nature. He's wants to 81 00:04:00,200 --> 00:04:03,800 Speaker 1: cut rates because he always wants to cut rates. The 82 00:04:03,920 --> 00:04:06,680 Speaker 1: data is not completely in his favor. So maybe they 83 00:04:06,680 --> 00:04:10,600 Speaker 1: cut once. Do I think they should cut it at all? 84 00:04:11,560 --> 00:04:14,560 Speaker 1: I would personally I would wait, but trust me, nobody 85 00:04:14,560 --> 00:04:15,120 Speaker 1: consults me. 86 00:04:15,600 --> 00:04:17,400 Speaker 3: No one consults us either. It's very stair. 87 00:04:17,600 --> 00:04:21,279 Speaker 1: So I think they'll probably cut once. It's my guess. 88 00:04:22,080 --> 00:04:24,480 Speaker 4: So does that affect so the thesis that you have, 89 00:04:24,560 --> 00:04:28,560 Speaker 4: like at the infrastructure, the power demand and AI and 90 00:04:28,640 --> 00:04:29,200 Speaker 4: AI in. 91 00:04:29,120 --> 00:04:34,600 Speaker 3: General, does what the Fed does? It's irrelevant, irrelevant. Does 92 00:04:34,640 --> 00:04:35,719 Speaker 3: it change. 93 00:04:35,360 --> 00:04:38,679 Speaker 4: How you play those themes or of timing. 94 00:04:38,760 --> 00:04:42,479 Speaker 1: Okay, I mean this is how what I think credit 95 00:04:42,520 --> 00:04:45,400 Speaker 1: quality in the United States is fine other than office 96 00:04:45,400 --> 00:04:47,719 Speaker 1: real estate, and office real estate is not big enough 97 00:04:47,839 --> 00:04:50,480 Speaker 1: to sink the economy. It's a problem. It's a regional problem. 98 00:04:50,480 --> 00:04:56,400 Speaker 1: It's a regional bank problem. It's some investors problem. If 99 00:04:56,400 --> 00:05:01,120 Speaker 1: consumer is not over levered, the housing market is not 100 00:05:01,240 --> 00:05:06,159 Speaker 1: in fuego, there's a shortage of housing. So all the 101 00:05:05,960 --> 00:05:09,200 Speaker 1: and the and the financial system of the United States 102 00:05:09,200 --> 00:05:12,880 Speaker 1: has never been this healthy in anyone's lifetime period. So 103 00:05:13,800 --> 00:05:16,160 Speaker 1: all the things that existed prior to two thousand and 104 00:05:16,240 --> 00:05:19,600 Speaker 1: eight don't exist today. You have a very dynamic economy 105 00:05:19,880 --> 00:05:25,279 Speaker 1: with some very very powerful themes. The FED cutting or 106 00:05:25,320 --> 00:05:27,960 Speaker 1: not cutting rate makes headlines for a couple of days, 107 00:05:28,160 --> 00:05:29,680 Speaker 1: But when you think about it, if the FED cuts 108 00:05:29,760 --> 00:05:33,120 Speaker 1: rates once or twice or no no times, I mean 109 00:05:33,200 --> 00:05:35,560 Speaker 1: the end of the day, who cares. It's it's it's 110 00:05:35,600 --> 00:05:37,760 Speaker 1: the minimis it's not I mean the FED raising rates 111 00:05:37,960 --> 00:05:41,960 Speaker 1: five hundred bases points. Yep, that got that got everybody's attention. 112 00:05:42,279 --> 00:05:44,679 Speaker 1: The FED cutting rates twenty five basis points or fifty 113 00:05:44,720 --> 00:05:48,360 Speaker 1: basis points and then stopping like like everybody get a life, right, 114 00:05:49,160 --> 00:05:49,520 Speaker 1: all right? 115 00:05:49,640 --> 00:05:52,159 Speaker 2: In terms of getting a life on AI, a lot 116 00:05:52,200 --> 00:05:54,600 Speaker 2: of well, I'll just speak for myself. I'm trying to 117 00:05:54,600 --> 00:05:56,880 Speaker 2: figure out how much of this AI stuff and I'm 118 00:05:56,880 --> 00:05:59,960 Speaker 2: putting in air quotes here for our listeners. Is incremental 119 00:06:00,040 --> 00:06:02,760 Speaker 2: all tech spending or is it just taking some money 120 00:06:02,800 --> 00:06:05,279 Speaker 2: from IT or other tech budgets and putting it to 121 00:06:05,440 --> 00:06:06,000 Speaker 2: it depends on. 122 00:06:06,000 --> 00:06:08,320 Speaker 1: Which subsector you're talking. Okay, So if you're talking about 123 00:06:08,320 --> 00:06:11,200 Speaker 1: the semiconductor sector, where it's in video or a m D, 124 00:06:11,480 --> 00:06:15,760 Speaker 1: it's it's massively incremental. You know. If you're talking about 125 00:06:17,279 --> 00:06:21,719 Speaker 1: overall tech spending at this point, not clear. What's what 126 00:06:21,880 --> 00:06:26,240 Speaker 1: is pretty clear is that companies like some of the 127 00:06:26,279 --> 00:06:30,480 Speaker 1: IT consulting companies have no revenue growth because it's taking 128 00:06:30,480 --> 00:06:36,960 Speaker 1: Peter to PayPal, so and software unclear. So it's it's 129 00:06:36,960 --> 00:06:38,440 Speaker 1: only very clear in hardware. 130 00:06:39,920 --> 00:06:46,279 Speaker 4: Let's overlay the presidential election with these thesis thesis. Thesis 131 00:06:46,960 --> 00:06:50,640 Speaker 4: is plural and okay, it's important. I took Latin from the. 132 00:06:50,760 --> 00:06:53,000 Speaker 1: CS, but this is a THESSCS. 133 00:06:53,520 --> 00:06:57,040 Speaker 4: Okay, So what is your prediction for the election and 134 00:06:57,360 --> 00:06:59,240 Speaker 4: how does that impact Because a lot of what you're 135 00:06:59,240 --> 00:07:01,279 Speaker 4: talking about is driven by fiscal policy. 136 00:07:02,600 --> 00:07:05,599 Speaker 1: Okay, so let's backtrack for a second. So, first of all, 137 00:07:05,880 --> 00:07:09,000 Speaker 1: caveat whatever I'm about to say. I am not speaking 138 00:07:09,000 --> 00:07:11,400 Speaker 1: for New Burger Bartment. I'm speaking just for myself because 139 00:07:11,400 --> 00:07:14,640 Speaker 1: I don't want to get into trouble. So it's May seventh. 140 00:07:15,760 --> 00:07:18,480 Speaker 1: We're how many months? Five months? Six months from the election? 141 00:07:18,800 --> 00:07:21,680 Speaker 1: Very far, and as far as I'm concerned, the election 142 00:07:21,760 --> 00:07:24,920 Speaker 1: is baked. It's done, which is and Trump's gonna win, 143 00:07:25,280 --> 00:07:27,640 Speaker 1: and I think he'll win every single swing state, and 144 00:07:27,680 --> 00:07:30,800 Speaker 1: this is how it's going to play. So at this point, 145 00:07:30,920 --> 00:07:34,040 Speaker 1: the protesters and what I'm about to say has nothing 146 00:07:34,080 --> 00:07:35,600 Speaker 1: to do with who I'm going to vote for, what 147 00:07:35,640 --> 00:07:41,960 Speaker 1: my predilections are. This is just pure analysis. The protesters 148 00:07:41,960 --> 00:07:44,680 Speaker 1: on the college campuses have rapidly become the face of 149 00:07:44,680 --> 00:07:49,240 Speaker 1: the Democratic Party, not completely, but that will be solidified 150 00:07:49,280 --> 00:07:52,520 Speaker 1: because I am one hundred percent sure that in August 151 00:07:53,240 --> 00:07:57,120 Speaker 1: at the Democratic Convention in Chicago, Irony, when you think 152 00:07:57,120 --> 00:07:59,880 Speaker 1: about nineteen sixty eight, they will all be protesting there 153 00:08:00,200 --> 00:08:03,000 Speaker 1: and they'll be screaming and yelling, and they'll be screaming 154 00:08:03,000 --> 00:08:05,080 Speaker 1: and yelling a lot of things that are anti American 155 00:08:05,600 --> 00:08:08,880 Speaker 1: and the country is going to be appolled, and at 156 00:08:08,880 --> 00:08:11,160 Speaker 1: that point it'll be very very clear that Trump will win. 157 00:08:11,760 --> 00:08:14,040 Speaker 1: But as far as I'm concerned, it just reminds me 158 00:08:14,080 --> 00:08:16,400 Speaker 1: a little bit of August two thousand and seven. If 159 00:08:16,400 --> 00:08:19,240 Speaker 1: you look back at the financial crisis, the crisis took 160 00:08:19,280 --> 00:08:22,760 Speaker 1: place in the fall of eight, but in August of seven, 161 00:08:22,800 --> 00:08:26,360 Speaker 1: starprime paper had collapsed. The crisis was baked in August 162 00:08:26,440 --> 00:08:31,000 Speaker 1: of seven. The rest was just an inevitable play. So 163 00:08:31,200 --> 00:08:33,200 Speaker 1: I kind of feel about like that about the presidential 164 00:08:33,280 --> 00:08:35,199 Speaker 1: lecture right now. It's baked, but the only people who 165 00:08:35,200 --> 00:08:35,960 Speaker 1: don't know the voters. 166 00:08:36,240 --> 00:08:38,040 Speaker 2: All right, We'll see how that plays out. In the 167 00:08:38,080 --> 00:08:39,880 Speaker 2: Mark by Steve Iisman, Thank you so much for joining. 168 00:08:39,960 --> 00:08:43,560 Speaker 2: Steve Heisman is a senior portfolio manager at Newburger Berman. 169 00:08:43,640 --> 00:08:46,080 Speaker 2: Joining us live here in our Bloomberg Interactive Brokers studio