1 00:00:02,920 --> 00:00:10,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,880 --> 00:00:15,040 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:15,080 --> 00:00:18,079 Speaker 1: Eastern on Apple Car, playing Android Auto with the Bloomberg 4 00:00:18,120 --> 00:00:21,440 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,640 --> 00:00:24,480 Speaker 1: or watch us live on YouTube. 6 00:00:25,040 --> 00:00:27,040 Speaker 2: You know, we love the big take stories here at 7 00:00:27,040 --> 00:00:29,880 Speaker 2: Bloomberg News, almost like on a daily basis, puts out 8 00:00:29,920 --> 00:00:34,159 Speaker 2: these big take stories, really deep dives, deeply reported. Teams 9 00:00:34,400 --> 00:00:36,920 Speaker 2: of people focused on this thing and they go deep 10 00:00:36,920 --> 00:00:38,879 Speaker 2: and they get good data, good reporting. And today is 11 00:00:38,960 --> 00:00:43,280 Speaker 2: a big one. Biden's EV dreams are a nightmare for 12 00:00:43,400 --> 00:00:45,800 Speaker 2: Tesla in the US car industry. Craig Trudell joins US 13 00:00:45,800 --> 00:00:51,080 Speaker 2: Global Autos editor for Bloomberg News on Zoom from London. So, Craig, 14 00:00:51,200 --> 00:00:53,320 Speaker 2: this is a big deal here because President Biden, that 15 00:00:53,360 --> 00:00:57,440 Speaker 2: Inflation Reduction Act putting a lot of money behind EV's here. 16 00:00:57,480 --> 00:01:01,080 Speaker 2: But you can't take China out of the here. What's happening. 17 00:01:02,600 --> 00:01:05,600 Speaker 3: Yeah, I think this is a really challenging thing that 18 00:01:05,640 --> 00:01:08,240 Speaker 3: the Biden administration was trying to do. Right, they were 19 00:01:08,240 --> 00:01:11,080 Speaker 3: trying to jump start the EV industry in the US. 20 00:01:11,600 --> 00:01:13,520 Speaker 3: I would say, you know, you can give them high 21 00:01:13,520 --> 00:01:15,720 Speaker 3: marks for what they've done in terms of the amount 22 00:01:15,720 --> 00:01:20,959 Speaker 3: of manufacturing investment they've attracted. It's it's really been remarkable 23 00:01:21,040 --> 00:01:24,000 Speaker 3: the the response that we've seen there. On the other 24 00:01:24,120 --> 00:01:27,160 Speaker 3: side of the equation, the demand side, I think, you know, 25 00:01:27,200 --> 00:01:30,560 Speaker 3: the marks are way more mixed, and I think, you know, 26 00:01:30,600 --> 00:01:33,760 Speaker 3: the challenges that we're going to see in the years 27 00:01:33,800 --> 00:01:36,840 Speaker 3: to come, you know, assuming, of course, Ira you know, 28 00:01:37,120 --> 00:01:39,960 Speaker 3: stands up if we see a change in the White 29 00:01:39,959 --> 00:01:43,920 Speaker 3: House later this year. But you know, whether or not 30 00:01:44,520 --> 00:01:48,360 Speaker 3: manufacturers can sort of pull off what Biden you know, 31 00:01:48,600 --> 00:01:51,360 Speaker 3: is asking of them, which is to really set up 32 00:01:51,360 --> 00:01:55,880 Speaker 3: a EV and battery supply chain that is less reliant 33 00:01:55,920 --> 00:01:59,240 Speaker 3: on China, and it eventually is just not reliant on China. 34 00:01:59,320 --> 00:02:02,360 Speaker 3: And that's proving to be an extremely difficult task. And 35 00:02:02,360 --> 00:02:04,720 Speaker 3: that's what we try to lay out today in ways 36 00:02:04,760 --> 00:02:08,040 Speaker 3: that are you know, really it's a it's a complicated issue. 37 00:02:08,720 --> 00:02:11,519 Speaker 4: You know. Tesla everyone thinks about, as. 38 00:02:11,400 --> 00:02:13,920 Speaker 3: You know, being a very sort of made in America 39 00:02:14,400 --> 00:02:16,920 Speaker 3: car brand, and and you know, they sort of are 40 00:02:16,960 --> 00:02:20,760 Speaker 3: recognized as one legitimately, but you know, when given the 41 00:02:20,800 --> 00:02:25,880 Speaker 3: opportunity to import batteries because of the fact that the IRA, 42 00:02:26,280 --> 00:02:30,400 Speaker 3: you know, didn't really necessarily grow some teeth until the beginning. 43 00:02:30,000 --> 00:02:30,560 Speaker 4: Of this year. 44 00:02:30,600 --> 00:02:32,920 Speaker 3: We saw, you know, just in a matter of months 45 00:02:33,320 --> 00:02:35,639 Speaker 3: Tesla import two and a half billion dollars worth of 46 00:02:36,080 --> 00:02:37,400 Speaker 3: EV batteries from China. 47 00:02:37,600 --> 00:02:41,440 Speaker 5: Wow, and Craig, that's happening, because it feels like every 48 00:02:41,440 --> 00:02:43,840 Speaker 5: time we talk about GM for Tesla, a lot of 49 00:02:43,840 --> 00:02:48,000 Speaker 5: these companies are losing money making their evs. So what 50 00:02:48,120 --> 00:02:51,400 Speaker 5: was the point of the IRA if not to kind 51 00:02:51,400 --> 00:02:54,640 Speaker 5: of streamline I guess the kind of inputs of of 52 00:02:54,680 --> 00:02:55,359 Speaker 5: these batteries. 53 00:02:56,880 --> 00:02:59,880 Speaker 3: I think what you have here is a situation where 54 00:03:00,080 --> 00:03:03,520 Speaker 3: you know, Joe Mansion was was, you know, the player 55 00:03:04,120 --> 00:03:06,960 Speaker 3: who you know, Washington really just had to sort of 56 00:03:07,000 --> 00:03:09,760 Speaker 3: bend to his will, and he was really reluctant to 57 00:03:10,639 --> 00:03:13,959 Speaker 3: you know, allow for electric vehicles to continue to get 58 00:03:14,000 --> 00:03:17,560 Speaker 3: tax credits. He was opposed to them. And he said, okay, industry, 59 00:03:18,160 --> 00:03:20,480 Speaker 3: well we'll give you these tax credits, but you build 60 00:03:20,520 --> 00:03:24,600 Speaker 3: me a supply chain that, of course, you know, sort 61 00:03:24,600 --> 00:03:26,880 Speaker 3: of didn't take into account sort of you know the 62 00:03:26,919 --> 00:03:30,359 Speaker 3: complexities of the supply chain and the fact that China 63 00:03:30,600 --> 00:03:33,400 Speaker 3: is just so dominant in this space and they've really 64 00:03:34,040 --> 00:03:36,920 Speaker 3: sort of you know, methodically, you know, for a time 65 00:03:37,040 --> 00:03:40,880 Speaker 3: quietly you know built this this you know, staggeringly strong 66 00:03:40,920 --> 00:03:44,960 Speaker 3: position in terms of you know, the control of you know, 67 00:03:45,000 --> 00:03:48,840 Speaker 3: the inputs, whether it's you know, nickel and lithium graphite. 68 00:03:49,320 --> 00:03:51,800 Speaker 3: You know, these inputs are going to be really really 69 00:03:51,800 --> 00:03:56,640 Speaker 3: difficult to source, not only just you know, whether their 70 00:03:56,880 --> 00:04:00,000 Speaker 3: mind in China, but whether they're sort of process and refined, 71 00:04:00,000 --> 00:04:04,520 Speaker 3: and you know, the sort of cost difference that the 72 00:04:04,560 --> 00:04:07,720 Speaker 3: WES is going to have to sort of overcome really 73 00:04:07,800 --> 00:04:10,280 Speaker 3: just can't be you know, sort of overstated at this point. 74 00:04:10,800 --> 00:04:12,720 Speaker 2: And folks, if you want to see this article, it's 75 00:04:12,760 --> 00:04:16,240 Speaker 2: fantastic article. Really deeply reporting. Great graphics makes it easy 76 00:04:16,279 --> 00:04:18,640 Speaker 2: for me because I like the pictures. Bloomberg dot Com 77 00:04:18,640 --> 00:04:20,800 Speaker 2: slash a big take is kind of where you find it. 78 00:04:21,000 --> 00:04:23,760 Speaker 2: Big team effort. So you know, Craig, I see in 79 00:04:23,760 --> 00:04:26,440 Speaker 2: your reporting here. In twenty twenty three, the IRA required 80 00:04:26,480 --> 00:04:29,280 Speaker 2: that at least half of the value of battery components 81 00:04:29,560 --> 00:04:31,479 Speaker 2: had to be assembled in North America and that forty 82 00:04:31,520 --> 00:04:34,640 Speaker 2: percent of the raw materials had to be sourced from 83 00:04:34,680 --> 00:04:37,240 Speaker 2: the US. And in twenty twenty seven, that raw material 84 00:04:37,279 --> 00:04:39,600 Speaker 2: requirement is going to double to eighty percent. Are those 85 00:04:39,680 --> 00:04:42,800 Speaker 2: numbers are they can they be achieved in that timeframe? 86 00:04:44,279 --> 00:04:47,120 Speaker 3: I think that's that's one of the things that you know, 87 00:04:47,160 --> 00:04:49,480 Speaker 3: it sort of depends on which company you ask. 88 00:04:49,560 --> 00:04:50,839 Speaker 4: And I think, you know. 89 00:04:50,800 --> 00:04:54,039 Speaker 3: Some of the concerns that the industry is having here 90 00:04:54,160 --> 00:04:56,880 Speaker 3: is the fact that some of these raw materials the 91 00:04:56,920 --> 00:04:58,520 Speaker 3: prices have really collapsed. 92 00:04:58,560 --> 00:04:59,840 Speaker 1: And you know. 93 00:04:59,800 --> 00:05:02,919 Speaker 3: That that you would sort of think, oh, that's a 94 00:05:02,920 --> 00:05:05,279 Speaker 3: good thing for the auto companies. But if you're trying 95 00:05:05,320 --> 00:05:09,080 Speaker 3: to build a supply chain in North America for these 96 00:05:09,279 --> 00:05:12,840 Speaker 3: raw materials and the prices for them have absolutely you know, 97 00:05:12,839 --> 00:05:14,800 Speaker 3: sort of the bottom has come out. I think of 98 00:05:15,240 --> 00:05:18,919 Speaker 3: lithium in particular, you've seen this dramatic, you know drop 99 00:05:19,480 --> 00:05:24,320 Speaker 3: in prices that significantly undermines the economics of those projects. 100 00:05:24,320 --> 00:05:27,039 Speaker 3: And so, you know, I think the raw materials in 101 00:05:27,120 --> 00:05:30,880 Speaker 3: particular are a real challenge. I think battery components will 102 00:05:30,920 --> 00:05:33,200 Speaker 3: be less of a challenge. But even there, it is 103 00:05:33,800 --> 00:05:35,800 Speaker 3: a matter of you can't just sort of snap your 104 00:05:35,839 --> 00:05:38,520 Speaker 3: fingers and open up a bunch of plants for these 105 00:05:38,560 --> 00:05:42,400 Speaker 3: various components. You know, it does take time, you know, 106 00:05:42,480 --> 00:05:46,360 Speaker 3: to put you know, dig up the ground and put 107 00:05:46,440 --> 00:05:51,039 Speaker 3: up these these plants that are coming, but are taking 108 00:05:51,080 --> 00:05:52,120 Speaker 3: some time and. 109 00:05:52,120 --> 00:05:56,560 Speaker 5: Graig across the auto makers. I'm looking at the reporting again, 110 00:05:56,640 --> 00:05:59,320 Speaker 5: seven of Tesla's twelve models sold in the US fully 111 00:05:59,320 --> 00:06:02,400 Speaker 5: cleared the eye R raise sourcing hurdles and qualified for 112 00:06:02,480 --> 00:06:06,400 Speaker 5: the tax credit. What percentage of evs being sold in 113 00:06:06,400 --> 00:06:08,680 Speaker 5: the US are clearing that hurdle? 114 00:06:10,640 --> 00:06:13,799 Speaker 4: I think because Tesla is still so dominant in the US, 115 00:06:14,600 --> 00:06:17,960 Speaker 4: we're at a point where, you know, the evs that 116 00:06:18,600 --> 00:06:22,000 Speaker 4: do the most volume are largely qualifying at the moment. 117 00:06:22,080 --> 00:06:26,000 Speaker 4: But I think the fact that those raw material requirements 118 00:06:26,040 --> 00:06:29,719 Speaker 4: that kick in next year and then escalate in the 119 00:06:29,800 --> 00:06:33,119 Speaker 4: years that follow that's really where we're going to see 120 00:06:33,160 --> 00:06:36,200 Speaker 4: even more of a sort of you know, level of 121 00:06:36,600 --> 00:06:39,919 Speaker 4: screws put on the industry. But but I think, you know, 122 00:06:40,000 --> 00:06:43,520 Speaker 4: the other carmaker that I think is particularly well positioned, 123 00:06:43,520 --> 00:06:46,040 Speaker 4: I would just call out to General Motors. I think 124 00:06:46,320 --> 00:06:50,000 Speaker 4: the fact that they have a localized supply chain, UH 125 00:06:50,560 --> 00:06:54,320 Speaker 4: for batteries, they have a joint venture with a Korean 126 00:06:54,720 --> 00:06:55,640 Speaker 4: battery supplier. 127 00:06:56,120 --> 00:06:59,320 Speaker 3: We're seeing, you know, more and more of those partnerships. 128 00:06:59,360 --> 00:07:02,599 Speaker 3: You know, for about following suit Stilantis, the maker of 129 00:07:03,000 --> 00:07:07,840 Speaker 3: Jeep and Chrysler, you know, similar deal where they're setting 130 00:07:07,920 --> 00:07:11,440 Speaker 3: up battery plants in North America and sort of on 131 00:07:11,520 --> 00:07:13,800 Speaker 3: and on. But those projects, I would say, are much 132 00:07:13,840 --> 00:07:17,560 Speaker 3: further behind where we have Tesla, which you know for 133 00:07:17,680 --> 00:07:20,960 Speaker 3: years has been making batteries out Nevada with Panasonic and 134 00:07:21,080 --> 00:07:23,400 Speaker 3: GM which has a partnership with. 135 00:07:23,520 --> 00:07:25,120 Speaker 4: LG in US. 136 00:07:25,440 --> 00:07:28,720 Speaker 2: Hey, Craig, I think the narrative out there just kind 137 00:07:28,760 --> 00:07:31,560 Speaker 2: of the bigger picture on EV's right now is, Gee, 138 00:07:32,040 --> 00:07:35,560 Speaker 2: maybe demand isn't as high as we all thought at 139 00:07:35,600 --> 00:07:38,480 Speaker 2: one point. We've got you know, the big automate manufacturers 140 00:07:38,480 --> 00:07:41,679 Speaker 2: pulling back like Ford for example. Loss is still big. 141 00:07:42,160 --> 00:07:44,520 Speaker 2: What's your understanding when you talk to your sources as 142 00:07:44,520 --> 00:07:47,160 Speaker 2: to how people are thinking about the ultimate demand for 143 00:07:47,240 --> 00:07:50,280 Speaker 2: EV's over the next one to three to five years. 144 00:07:51,600 --> 00:07:55,240 Speaker 3: I think, you know, perversely, it was a challenge that 145 00:07:55,440 --> 00:07:58,080 Speaker 3: you know, for a time, you know, business was too good. 146 00:07:59,560 --> 00:08:03,280 Speaker 4: The fact that you know, for a while there, uh you. 147 00:08:03,200 --> 00:08:07,120 Speaker 3: Know, so many companies uh you know actually had back orders. 148 00:08:07,560 --> 00:08:07,640 Speaker 1: Uh. 149 00:08:07,720 --> 00:08:09,160 Speaker 4: Tesla in particular, you. 150 00:08:09,080 --> 00:08:12,240 Speaker 3: Know, had demand issues as opposed to a supply issue 151 00:08:12,560 --> 00:08:15,120 Speaker 3: that you know really sort of caused this uh you know, 152 00:08:15,280 --> 00:08:19,040 Speaker 3: unsustainable you know, jacking up of prices. The fact that 153 00:08:19,040 --> 00:08:21,760 Speaker 3: that has had to come down, I would say more 154 00:08:21,800 --> 00:08:25,400 Speaker 3: dramatically than we've seen for the rest of the industry 155 00:08:25,440 --> 00:08:29,600 Speaker 3: has had all sorts of you know, unintended unintended consequences 156 00:08:29,640 --> 00:08:33,559 Speaker 3: when you uh, you know, so dramatically bring down prices 157 00:08:33,600 --> 00:08:36,840 Speaker 3: on the new side. Uh, the the use side is 158 00:08:37,679 --> 00:08:41,160 Speaker 3: of the equation. The use vehicles really lose their value 159 00:08:41,160 --> 00:08:43,480 Speaker 3: and the fact that I think evs maybe have some 160 00:08:43,559 --> 00:08:47,960 Speaker 3: sort of you know, particular challenges with you know, maintaining 161 00:08:47,960 --> 00:08:51,160 Speaker 3: their value. When you think about a used uh, you know, 162 00:08:51,280 --> 00:08:53,680 Speaker 3: gas car, you don't worry about, you know, the engine 163 00:08:53,720 --> 00:08:56,679 Speaker 3: holding up. You maybe have you know, relatively more concern, 164 00:08:56,840 --> 00:08:59,320 Speaker 3: rightfully or not, as to whether or not the battery 165 00:08:59,360 --> 00:09:01,840 Speaker 3: has been going to hold up. And so what we're 166 00:09:01,880 --> 00:09:04,800 Speaker 3: seeing is is you know, that really come into play 167 00:09:04,800 --> 00:09:08,440 Speaker 3: in terms of total cost of ownership. I think that's 168 00:09:08,440 --> 00:09:10,560 Speaker 3: one of the things that we've really paid close attention 169 00:09:10,640 --> 00:09:13,040 Speaker 3: to lately. I think when we step back, you know, 170 00:09:13,160 --> 00:09:16,400 Speaker 3: the fact that EV's is sort of you know, the 171 00:09:16,559 --> 00:09:19,800 Speaker 3: way forward, particularly in terms of you know, where the 172 00:09:19,840 --> 00:09:22,920 Speaker 3: regulators want to see this industry group go. I think 173 00:09:23,000 --> 00:09:26,480 Speaker 3: we've seen that China is able to make this work. 174 00:09:26,520 --> 00:09:30,040 Speaker 3: We've seen that Europe is much further along in this transition. 175 00:09:30,160 --> 00:09:33,680 Speaker 3: I think the question for the US is whether you know, 176 00:09:33,880 --> 00:09:37,440 Speaker 3: whether we can sort of, you know, get Americans who 177 00:09:37,480 --> 00:09:41,480 Speaker 3: tend to like bigger vehicles to come around to electric vehicles. 178 00:09:41,520 --> 00:09:43,959 Speaker 3: I think that also adds some complications to the mix 179 00:09:44,040 --> 00:09:44,400 Speaker 3: as well. 180 00:09:44,559 --> 00:09:46,559 Speaker 2: All Right, Craig, thanks so much as always. Craig Trudel 181 00:09:46,600 --> 00:09:49,000 Speaker 2: Global autis editor for Bloomberg News, joining US visa zoom 182 00:09:49,000 --> 00:09:52,440 Speaker 2: from London. You know, I tested thanks to Matt Miller's 183 00:09:52,800 --> 00:09:55,920 Speaker 2: connections with Ford, he got me a F one fifty 184 00:09:56,080 --> 00:09:56,880 Speaker 2: lightning the EV. 185 00:09:57,280 --> 00:09:57,520 Speaker 1: Yeah. 186 00:09:57,640 --> 00:09:59,200 Speaker 2: I got the test start of that for like a week. 187 00:09:59,320 --> 00:10:02,760 Speaker 2: How is it awesome? Awesome? Now I have to full disclosure. 188 00:10:03,080 --> 00:10:04,800 Speaker 2: I'm a Wall Street guy. I don't drive pickup truck, 189 00:10:04,920 --> 00:10:07,319 Speaker 2: so it's a first pickup truck average rope. It was awesome, 190 00:10:07,320 --> 00:10:09,840 Speaker 2: and it's the first electric vehicle average drope. But the 191 00:10:09,880 --> 00:10:13,439 Speaker 2: sticker price was ninety four thousand dollars and I think 192 00:10:13,440 --> 00:10:16,320 Speaker 2: it's just one of the challenges that haves this cost. Yeah. 193 00:10:16,360 --> 00:10:18,719 Speaker 5: No, well, and that's going to be interestingly enough, we 194 00:10:18,760 --> 00:10:21,280 Speaker 5: get earnings from Rivian and Lucid after the bell today, 195 00:10:21,280 --> 00:10:23,360 Speaker 5: so we're going to hear how some of these smaller 196 00:10:23,440 --> 00:10:26,520 Speaker 5: ev makers are hanging in there just given as you mentioned, 197 00:10:26,880 --> 00:10:29,760 Speaker 5: high costs. These companies are losing money on pretty much 198 00:10:29,800 --> 00:10:33,360 Speaker 5: every car vehicle they make, and demand doesn't seem to 199 00:10:33,360 --> 00:10:33,920 Speaker 5: really be there. 200 00:10:34,040 --> 00:10:36,720 Speaker 2: Yeah. So anyway, big take story coming out of Bloomberg 201 00:10:36,720 --> 00:10:39,080 Speaker 2: News today, looking at the you know, the battery side 202 00:10:39,080 --> 00:10:40,920 Speaker 2: of it and kind of where we're sourcing all this stuff. 203 00:10:40,960 --> 00:10:44,319 Speaker 2: So again Bloomberg dot com slash Big, Big Take, and 204 00:10:44,360 --> 00:10:45,280 Speaker 2: that that's where you'll find it. 205 00:10:46,880 --> 00:10:50,760 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 206 00:10:50,840 --> 00:10:54,360 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 207 00:10:54,400 --> 00:10:57,160 Speaker 1: Otto with the Bloomberg Business app. You can also listen 208 00:10:57,280 --> 00:11:00,400 Speaker 1: live on Amazon Alexa from our flagship New York station 209 00:11:00,760 --> 00:11:03,480 Speaker 1: just say Alexa playing Bloomberg eleven thirty. 210 00:11:04,520 --> 00:11:07,120 Speaker 2: Let's check in with Irin Jersey here because I want 211 00:11:07,120 --> 00:11:08,640 Speaker 2: to know what my Federal Reserve is going to do. 212 00:11:08,679 --> 00:11:10,680 Speaker 2: I mean, that's got you know, the Fed watchers, they 213 00:11:10,679 --> 00:11:12,920 Speaker 2: were pounding their chest March. We're gonna get a you know, 214 00:11:12,960 --> 00:11:15,920 Speaker 2: a rate cut, six rate cuts. Yeah, and now it's 215 00:11:16,040 --> 00:11:19,360 Speaker 2: kind of May. Now people are talking about June, and 216 00:11:19,360 --> 00:11:21,040 Speaker 2: we've had a couple of smart people come in here 217 00:11:21,040 --> 00:11:22,880 Speaker 2: over the last couple of days and say, hey, you 218 00:11:23,000 --> 00:11:25,760 Speaker 2: better have a scenario where they raise he raise rate. 219 00:11:25,840 --> 00:11:27,760 Speaker 2: So I have no idea what's going on. So let's 220 00:11:27,760 --> 00:11:30,280 Speaker 2: bring in Iri Jersey because it's his job. Ira Jersey, 221 00:11:30,280 --> 00:11:34,960 Speaker 2: Bloomberg Intelligence Chief US interest rate strategist. Ira. It seems 222 00:11:34,960 --> 00:11:36,840 Speaker 2: like this thing changes day by day. And I guess 223 00:11:36,840 --> 00:11:39,760 Speaker 2: that's why the good folks of Bloomberg made the warp function, 224 00:11:40,120 --> 00:11:42,880 Speaker 2: because it just changes all the time. It's a fluid situation. 225 00:11:43,360 --> 00:11:45,360 Speaker 2: Given kind of what we know here in the economics 226 00:11:45,920 --> 00:11:48,400 Speaker 2: and some of the data we've seen, how do you 227 00:11:48,400 --> 00:11:50,760 Speaker 2: think the Fed's feeling today? 228 00:11:50,840 --> 00:11:53,280 Speaker 6: Yeah, so you know, we're get a lot of Fed 229 00:11:53,320 --> 00:11:55,800 Speaker 6: speak this week. We have the minutes at two o'clock today, 230 00:11:55,640 --> 00:11:59,000 Speaker 6: so we'll see what they were talking about in some 231 00:11:59,200 --> 00:12:01,880 Speaker 6: more detailed than than we got during the press conference 232 00:12:02,600 --> 00:12:05,640 Speaker 6: from the January meeting. But you know, my view has 233 00:12:05,640 --> 00:12:08,319 Speaker 6: always been that we were probably gonna only get a 234 00:12:08,360 --> 00:12:11,240 Speaker 6: few cuts this year, so we'd we'd thought three cuts 235 00:12:11,280 --> 00:12:15,040 Speaker 6: going into the going into the year over the course, 236 00:12:15,080 --> 00:12:16,840 Speaker 6: and part of the reason for that was we thought 237 00:12:16,840 --> 00:12:19,880 Speaker 6: that it would be pretty slow going and getting inflation 238 00:12:20,040 --> 00:12:22,839 Speaker 6: back toward the fed's target, and you know, so far 239 00:12:22,920 --> 00:12:25,040 Speaker 6: that's played out more or less the way that we thought. 240 00:12:25,120 --> 00:12:27,520 Speaker 6: So so we'd been figuring that they would cut one 241 00:12:27,559 --> 00:12:30,920 Speaker 6: time before the middle of the year in part to 242 00:12:31,040 --> 00:12:34,160 Speaker 6: kind of get that first cut over with UH before 243 00:12:34,360 --> 00:12:37,440 Speaker 6: the before the election, and that gives them some flexibility 244 00:12:37,480 --> 00:12:39,760 Speaker 6: depending on what the how the numbers come in, you know. 245 00:12:39,840 --> 00:12:42,640 Speaker 6: That being said, as as you noted, Paul, one of 246 00:12:42,679 --> 00:12:45,160 Speaker 6: the one of the factors that that we highlighted last 247 00:12:45,200 --> 00:12:48,760 Speaker 6: week was that that people are buying options on the 248 00:12:48,800 --> 00:12:51,400 Speaker 6: potential for higher rates. So so there are some people 249 00:12:51,440 --> 00:12:53,480 Speaker 6: who are getting a little bit concerned that there might 250 00:12:53,520 --> 00:12:56,360 Speaker 6: be this tail event where maybe you know, the FED 251 00:12:56,440 --> 00:12:58,560 Speaker 6: is on hold most of the year, but sometime in 252 00:12:58,600 --> 00:13:00,800 Speaker 6: the in say the fourth Court or maybe just after 253 00:13:00,800 --> 00:13:03,640 Speaker 6: the electure or something, they have to hike because inflation 254 00:13:03,720 --> 00:13:06,840 Speaker 6: in the economy is holding up reasonably well. So so 255 00:13:07,000 --> 00:13:08,640 Speaker 6: even though that you know, that's not a base case 256 00:13:08,679 --> 00:13:11,640 Speaker 6: of just about anybody that that we talked to, although 257 00:13:11,640 --> 00:13:14,640 Speaker 6: there are a few outliers there that that certainly think 258 00:13:14,679 --> 00:13:18,160 Speaker 6: that it's a possibility. You know, I think that that 259 00:13:18,320 --> 00:13:20,760 Speaker 6: you know, an on hold case is much more likely, 260 00:13:20,800 --> 00:13:24,000 Speaker 6: and you've heard some people in the fixed income markets 261 00:13:24,040 --> 00:13:27,040 Speaker 6: talking about that as being more and more realistic possibility 262 00:13:27,080 --> 00:13:29,200 Speaker 6: that the FED just you know, doesn't cut for a 263 00:13:29,200 --> 00:13:30,720 Speaker 6: long time or doesn't move at all. 264 00:13:31,080 --> 00:13:34,960 Speaker 5: Yeah, iira with that notion hold higher for longer, has 265 00:13:34,960 --> 00:13:37,480 Speaker 5: been something j Powell said for quite some time. You're 266 00:13:37,480 --> 00:13:39,800 Speaker 5: talking about a cut coming later in the year. Are 267 00:13:39,800 --> 00:13:42,400 Speaker 5: we talking September November timeframe? 268 00:13:43,320 --> 00:13:45,120 Speaker 6: So September I think will be a little bit hard, 269 00:13:45,160 --> 00:13:47,520 Speaker 6: even though you know, the feder Reserve says that they're 270 00:13:47,559 --> 00:13:49,560 Speaker 6: a political but I think that they wouldn't want to 271 00:13:50,000 --> 00:13:54,559 Speaker 6: start any new actions just prior to the election in September. 272 00:13:54,920 --> 00:13:57,679 Speaker 6: Is that meeting that sits in between the conventions and 273 00:13:57,720 --> 00:14:00,480 Speaker 6: the and the general elections. So I think they wouldn't 274 00:14:00,480 --> 00:14:03,200 Speaker 6: start anything then, which is again another reason why thinking 275 00:14:03,240 --> 00:14:06,319 Speaker 6: that that maybe they would do a move in say May, 276 00:14:06,400 --> 00:14:08,560 Speaker 6: June or July, just to have it out of the 277 00:14:08,559 --> 00:14:12,160 Speaker 6: way and that gives them flexibility to continue those actions. 278 00:14:13,000 --> 00:14:15,520 Speaker 6: You know, It's it's definitely possible just given the strength 279 00:14:15,559 --> 00:14:18,680 Speaker 6: and the data that maybe the FED doesn't move or 280 00:14:18,720 --> 00:14:21,120 Speaker 6: doesn't have to move until after the election. That that's 281 00:14:21,640 --> 00:14:24,360 Speaker 6: you know that there's a non zero chance of that, 282 00:14:24,400 --> 00:14:25,920 Speaker 6: and I think that you know, if we continue to 283 00:14:25,960 --> 00:14:29,400 Speaker 6: get data as good as we've seen recently, then then 284 00:14:29,400 --> 00:14:32,680 Speaker 6: certainly that that's a possibility. Again, like our view continues 285 00:14:32,720 --> 00:14:34,280 Speaker 6: to be at the moment that that the Fed will 286 00:14:34,320 --> 00:14:36,560 Speaker 6: cut a few times this year, but not nearly as 287 00:14:36,600 --> 00:14:39,360 Speaker 6: much as what the market was pricing, say two months ago. 288 00:14:39,800 --> 00:14:42,240 Speaker 2: Hey, in your work looking at rates, what is the 289 00:14:42,240 --> 00:14:44,280 Speaker 2: stuff you're working on now that maybe we're not asking 290 00:14:44,320 --> 00:14:45,640 Speaker 2: you about that? Maybe we should. 291 00:14:46,440 --> 00:14:49,840 Speaker 6: Yeah, well, so so you haven't asked us about supply recently, 292 00:14:49,920 --> 00:14:52,880 Speaker 6: because supply is certainly something that has gotten a lot 293 00:14:52,880 --> 00:14:55,920 Speaker 6: of attention in the markets recently, just with with all 294 00:14:55,960 --> 00:14:58,920 Speaker 6: of the treasury bond auctions and with deficits you know, 295 00:14:59,040 --> 00:15:02,440 Speaker 6: two trillion ishtops and looking like they're going to remain 296 00:15:02,520 --> 00:15:04,600 Speaker 6: at those kind of levels for the next couple of years. 297 00:15:05,440 --> 00:15:07,080 Speaker 6: Is something that that is still getting a lot of 298 00:15:07,120 --> 00:15:09,480 Speaker 6: attention and is one of the reasons why it might 299 00:15:09,520 --> 00:15:11,960 Speaker 6: be more and more difficult as time goes on, just 300 00:15:12,000 --> 00:15:15,520 Speaker 6: given the stock of treasury securities outstanding for the market 301 00:15:15,600 --> 00:15:18,880 Speaker 6: to to rally just because you have some supply demand 302 00:15:18,880 --> 00:15:21,880 Speaker 6: and balances. But interestingly, you know, once we get through 303 00:15:22,680 --> 00:15:25,880 Speaker 6: through April, it looks like the Treasury Department will be 304 00:15:25,920 --> 00:15:30,760 Speaker 6: able to stabilize the treasury auctions at the levels what 305 00:15:30,880 --> 00:15:33,520 Speaker 6: they'll end up in April. And because of that, you 306 00:15:33,640 --> 00:15:35,960 Speaker 6: might have a better supply demand and balance. So might 307 00:15:36,000 --> 00:15:39,040 Speaker 6: you might actually see more a little bit more propensity 308 00:15:39,120 --> 00:15:41,560 Speaker 6: for the market to rally when we're talking about more 309 00:15:41,640 --> 00:15:44,600 Speaker 6: rate cuts than it has over the last over the 310 00:15:44,680 --> 00:15:46,960 Speaker 6: last year or so, as the treasury departments had to, 311 00:15:47,320 --> 00:15:50,720 Speaker 6: you know, keep on increasing the size of the debt aira. 312 00:15:50,840 --> 00:15:52,200 Speaker 2: What are you looking at? What matters? 313 00:15:52,360 --> 00:15:55,080 Speaker 5: I was talking to a PM this morning who kind 314 00:15:55,080 --> 00:15:59,080 Speaker 5: of laughed when I asked him about the minutes later today. 315 00:15:59,680 --> 00:16:02,640 Speaker 6: Yes, so within the minutes, you know, it's the details, right, 316 00:16:02,680 --> 00:16:05,400 Speaker 6: So the details matter, and so the two things that 317 00:16:05,440 --> 00:16:08,480 Speaker 6: will be focused on or one is the normal stuff, right, 318 00:16:08,520 --> 00:16:11,160 Speaker 6: it's it's what is their reaction function? Has it changed? 319 00:16:11,560 --> 00:16:14,640 Speaker 6: Is there the chance that some members have gotten somewhat 320 00:16:14,640 --> 00:16:17,240 Speaker 6: more cautious given the strength of the data that we 321 00:16:17,320 --> 00:16:20,600 Speaker 6: had in January, And therefore, will there be a change 322 00:16:20,600 --> 00:16:23,080 Speaker 6: in the dots and in some of their forecasts when 323 00:16:23,080 --> 00:16:25,400 Speaker 6: we get the March when we get the March Summary 324 00:16:25,440 --> 00:16:28,720 Speaker 6: of Economic Projections. But more importantly, and I guess this 325 00:16:28,800 --> 00:16:31,200 Speaker 6: goes also to Paul's questions just a second ago about 326 00:16:31,680 --> 00:16:33,880 Speaker 6: what we're not talking about. But it's also a balance 327 00:16:33,920 --> 00:16:37,960 Speaker 6: sheet runoff, right, So it's it's completely possible that even 328 00:16:37,960 --> 00:16:40,400 Speaker 6: if the Federal Reserve doesn't cut interest rates at all 329 00:16:40,440 --> 00:16:44,080 Speaker 6: this year and keeps keeps rates relatively high, it is 330 00:16:44,160 --> 00:16:46,720 Speaker 6: possible that the FED is going to have to reduce 331 00:16:46,760 --> 00:16:48,840 Speaker 6: the amount that it's running off its balance sheet. So 332 00:16:48,880 --> 00:16:53,480 Speaker 6: there's so called quantitative tightening, and they as that happens, 333 00:16:53,520 --> 00:16:55,320 Speaker 6: I think the market will take that as somewhat of 334 00:16:55,360 --> 00:16:59,320 Speaker 6: a Dubvish bent to the FED and the FED activities. 335 00:17:00,040 --> 00:17:02,600 Speaker 6: You'll probably see things like risk assets do pretty well, right, 336 00:17:02,640 --> 00:17:07,280 Speaker 6: credit spreads, tighter, equities do okay. The rate market will 337 00:17:07,280 --> 00:17:09,680 Speaker 6: probably rally just a little bit on that, just as 338 00:17:10,680 --> 00:17:12,760 Speaker 6: they'll take it as a duthersh signal. I don't think 339 00:17:12,800 --> 00:17:15,399 Speaker 6: it is, because I think that the balance sheet policy 340 00:17:15,440 --> 00:17:17,400 Speaker 6: at this point is going to be somewhat disconnected from 341 00:17:17,480 --> 00:17:21,240 Speaker 6: rate policy, because balance sheet policy has other implications in 342 00:17:21,280 --> 00:17:23,880 Speaker 6: the banking sector, and you know how many how much 343 00:17:23,880 --> 00:17:26,239 Speaker 6: bank reserves do people need in order to comply with 344 00:17:26,280 --> 00:17:29,760 Speaker 6: some of the capital regulations and the like. So that's 345 00:17:29,800 --> 00:17:32,040 Speaker 6: going to be completely different. But that is something in 346 00:17:32,040 --> 00:17:34,439 Speaker 6: the minutes that I'm really looking forward to to seeing 347 00:17:34,480 --> 00:17:36,200 Speaker 6: what they talked about and how they're going to frame 348 00:17:36,240 --> 00:17:39,119 Speaker 6: the discussion that they're going to have in March, because 349 00:17:39,320 --> 00:17:41,240 Speaker 6: you know, J. Powell did say that in March they're 350 00:17:41,240 --> 00:17:43,560 Speaker 6: going to start their talk about balance sheet policy. 351 00:17:44,000 --> 00:17:46,679 Speaker 2: All right, So I get home my new hours. I 352 00:17:46,680 --> 00:17:49,240 Speaker 2: get home in the afternoon, I turn on CBS. I 353 00:17:49,320 --> 00:17:54,199 Speaker 2: see Inter Milan playing Athletico Madrid. I think that's what 354 00:17:54,280 --> 00:17:56,399 Speaker 2: I was seeing. Good match. I don't know why I 355 00:17:56,440 --> 00:17:58,480 Speaker 2: was on the CBS network in the middle of the afternoon. 356 00:17:58,520 --> 00:18:01,960 Speaker 2: That's another question, Ira, What was I watching yesterday? 357 00:18:02,760 --> 00:18:06,040 Speaker 6: So the Champions League? I guess, so that the best 358 00:18:06,320 --> 00:18:08,639 Speaker 6: the best teams in Europe all play each other, or 359 00:18:08,640 --> 00:18:10,760 Speaker 6: the teams that won their leagues and or came in 360 00:18:10,800 --> 00:18:13,159 Speaker 6: the top a couple of spots in their leagues. So 361 00:18:13,200 --> 00:18:16,560 Speaker 6: Athletico Madrid would be playing Milan in the Champions League. 362 00:18:16,560 --> 00:18:18,320 Speaker 6: The reasons middle of the day is because it's evening 363 00:18:18,359 --> 00:18:18,880 Speaker 6: in Europe. 364 00:18:19,359 --> 00:18:22,119 Speaker 2: So my question was why was it on CBS network. 365 00:18:22,160 --> 00:18:25,000 Speaker 2: I'm not watching some silly soap operas or game shows 366 00:18:25,080 --> 00:18:26,879 Speaker 2: or something like that. So that's for that's for me. 367 00:18:27,040 --> 00:18:28,600 Speaker 2: That's the media question. I'll call my friends. 368 00:18:28,600 --> 00:18:31,119 Speaker 6: So, yeah, CBS has the has the rights to the 369 00:18:31,160 --> 00:18:33,880 Speaker 6: Champions League, just like just like NBC has the rights 370 00:18:33,920 --> 00:18:35,840 Speaker 6: to the Premier League and the like. So you're going 371 00:18:35,920 --> 00:18:38,200 Speaker 6: to see it on whatever network you know bought those 372 00:18:38,280 --> 00:18:39,119 Speaker 6: rights in the US. 373 00:18:39,200 --> 00:18:43,199 Speaker 2: So who is favorite in the Champions League? Is that it? 374 00:18:44,119 --> 00:18:44,320 Speaker 7: Yeah? 375 00:18:44,359 --> 00:18:47,600 Speaker 6: I think it has to be last year's champions Manchester City, Right, 376 00:18:47,640 --> 00:18:49,480 Speaker 6: there's still one of the Kreme de la Crem's. But 377 00:18:49,640 --> 00:18:53,760 Speaker 6: you know name, you know, the Milan teams and Byron 378 00:18:53,880 --> 00:18:57,440 Speaker 6: Munich and PSG like those teams can never be ruled 379 00:18:57,480 --> 00:18:58,200 Speaker 6: out for sure. 380 00:18:59,359 --> 00:19:03,040 Speaker 2: I'm an inter. So you're watching that Send zero. I've 381 00:19:03,080 --> 00:19:05,280 Speaker 2: been to the Cent zero. Oh really Yeah? Some ac 382 00:19:05,400 --> 00:19:07,880 Speaker 2: Milan play there back in the day. So that's awesome. Yeah, 383 00:19:07,880 --> 00:19:10,280 Speaker 2: it's pretty cool. They are insane over there, the stuff 384 00:19:10,280 --> 00:19:12,359 Speaker 2: that they do. I mean they light stuff on fire, 385 00:19:12,800 --> 00:19:16,320 Speaker 2: fireworks and it's just crazy. All right, Very good, Ira Jersey, 386 00:19:16,359 --> 00:19:18,360 Speaker 2: thanks so much. As always, Ira Jersey. He's our chief 387 00:19:18,440 --> 00:19:21,600 Speaker 2: US Interest rates strategist. He's also our go to soccer 388 00:19:21,640 --> 00:19:24,080 Speaker 2: officient out of you're. 389 00:19:23,880 --> 00:19:28,119 Speaker 1: Listening to the Bloomberg Intelligence podcast. Catch us Live weekdays 390 00:19:28,119 --> 00:19:30,920 Speaker 1: at ten am Eastern on Affo car, playing Android Auto 391 00:19:31,000 --> 00:19:33,919 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 392 00:19:34,000 --> 00:19:37,680 Speaker 1: get your podcasts, or watch us live on YouTube. 393 00:19:38,359 --> 00:19:40,280 Speaker 2: Bailey, you know it's bad when your cab driver says, 394 00:19:40,320 --> 00:19:42,320 Speaker 2: are you going to be listening to the Nvidia call today? 395 00:19:42,400 --> 00:19:42,720 Speaker 4: No way? 396 00:19:42,760 --> 00:19:44,879 Speaker 2: I mean this is going to be missing. So the 397 00:19:44,880 --> 00:19:47,480 Speaker 2: implied volatility which you showed you from the Bloomer turmal 398 00:19:47,800 --> 00:19:49,680 Speaker 2: is ten percent and for a company with one hundred 399 00:19:49,720 --> 00:19:52,000 Speaker 2: and one point seven trillion market app that could be 400 00:19:52,000 --> 00:19:55,080 Speaker 2: some shekels gained the lost here here coming up sore. 401 00:19:55,119 --> 00:19:57,200 Speaker 2: Gene Monster joins us because we have to get the 402 00:19:57,200 --> 00:19:59,480 Speaker 2: bottom line here and Gene can certainly do that. Geene 403 00:19:59,520 --> 00:20:03,000 Speaker 2: Monsters partner, co founder deep Water Asset Management. He's been 404 00:20:03,040 --> 00:20:06,480 Speaker 2: all over the tech space for decades. Hey, Gene, have 405 00:20:06,520 --> 00:20:09,600 Speaker 2: you ever seen anything like this where a company has 406 00:20:09,640 --> 00:20:12,520 Speaker 2: not only a big impact I guess on itself on 407 00:20:12,720 --> 00:20:15,159 Speaker 2: but even in its sector, but also kind of the 408 00:20:15,200 --> 00:20:19,840 Speaker 2: broader market mentality and video is really outsized, isn't it? 409 00:20:21,560 --> 00:20:27,040 Speaker 8: Absolutely? Answer your question, I've maybe seen it back when 410 00:20:27,600 --> 00:20:29,960 Speaker 8: the iPod iPhone was starting to get going, and that 411 00:20:30,000 --> 00:20:32,760 Speaker 8: an outsized impact on overall tech. But if you put 412 00:20:32,760 --> 00:20:36,280 Speaker 8: that into perspective, that was iPhone sixteen years ago, so 413 00:20:36,359 --> 00:20:39,000 Speaker 8: it's been a long time. When you think about the 414 00:20:39,000 --> 00:20:43,480 Speaker 8: transformation of AI, it's understandable that and video has gotten 415 00:20:43,560 --> 00:20:47,200 Speaker 8: attention and the expanding market cap that it's had over 416 00:20:47,240 --> 00:20:49,800 Speaker 8: the past year, because of course it is in a 417 00:20:49,800 --> 00:20:53,960 Speaker 8: poll position. It is benefiting tremendously from this AI infrastructure. 418 00:20:54,440 --> 00:20:56,960 Speaker 8: That of course is all in the rear view mirror, 419 00:20:57,000 --> 00:20:59,879 Speaker 8: and it's all about looking forward. But to answer your question, 420 00:21:00,000 --> 00:21:03,080 Speaker 8: and this is pretty special times we're in one just 421 00:21:03,119 --> 00:21:06,480 Speaker 8: final thought, outside of their earnings here, if I look 422 00:21:06,560 --> 00:21:09,840 Speaker 8: back over the past year and look what's happened to 423 00:21:10,119 --> 00:21:14,120 Speaker 8: Nvidia relative tech expectations, how they've beat expectations, what they've 424 00:21:14,160 --> 00:21:18,359 Speaker 8: done to guidance that period those three quarters, That's something 425 00:21:18,440 --> 00:21:22,080 Speaker 8: I have never seen multi billion dollar company beating by 426 00:21:22,160 --> 00:21:24,959 Speaker 8: thirty forty to fifty percent, guiding up by twenty percent, 427 00:21:25,000 --> 00:21:27,800 Speaker 8: and then beating that upward guide by another thirty forty percent. 428 00:21:28,240 --> 00:21:32,080 Speaker 8: It is simply breathtaking from a tech investors perspective. 429 00:21:32,200 --> 00:21:33,960 Speaker 2: Yeah, folks, so what you just heard is really has 430 00:21:33,960 --> 00:21:38,240 Speaker 2: some gravitusk because Jean's been investing in analyzing tech companies 431 00:21:38,280 --> 00:21:40,840 Speaker 2: for decades here, you've seen them from the cradle to 432 00:21:40,880 --> 00:21:43,320 Speaker 2: the grave, So that means something one point seven bill 433 00:21:43,480 --> 00:21:45,560 Speaker 2: truly in market cap. Company here stocks up up two 434 00:21:45,600 --> 00:21:48,280 Speaker 2: hundred and thirty percent over the trailing twelve months, So Gene, 435 00:21:48,280 --> 00:21:51,680 Speaker 2: that tells me, boy, the bar is extraordinarily high here. 436 00:21:52,440 --> 00:21:54,679 Speaker 2: What's a win for this company? What's a loss for 437 00:21:54,720 --> 00:21:58,400 Speaker 2: this company? Here? After the close, I. 438 00:21:58,320 --> 00:22:00,800 Speaker 8: Don't know what the stock's going to do tomorrow. It's 439 00:22:00,880 --> 00:22:03,240 Speaker 8: hard really when you see that kind of volatility built 440 00:22:03,240 --> 00:22:05,280 Speaker 8: in the options. That means there is a lot of 441 00:22:05,359 --> 00:22:08,880 Speaker 8: jocking beyond what's going on with kind of fundamental investors. 442 00:22:08,920 --> 00:22:11,240 Speaker 8: So anything can happen. The stock could be up big 443 00:22:11,640 --> 00:22:14,280 Speaker 8: on the print and could fade tomorrow. The opposite could 444 00:22:14,320 --> 00:22:18,119 Speaker 8: happen too. From my perspective, what is most important is 445 00:22:18,560 --> 00:22:23,600 Speaker 8: understanding how the commentary for the company is going to 446 00:22:23,720 --> 00:22:27,440 Speaker 8: impact calendar twenty five revenue growth. And just to kind 447 00:22:27,440 --> 00:22:29,760 Speaker 8: of put this in a quick perspective, the company's going 448 00:22:29,840 --> 00:22:32,040 Speaker 8: to grow this quarter at around two hundred and fifty 449 00:22:32,080 --> 00:22:36,040 Speaker 8: percent year ofvery year. The growth expectations for calendar twenty 450 00:22:36,040 --> 00:22:38,840 Speaker 8: four is sixty four percent, a pretty big slode on 451 00:22:38,840 --> 00:22:41,200 Speaker 8: because the law of large numbers and then another big 452 00:22:41,200 --> 00:22:44,960 Speaker 8: slowdown in twenty five down to seventeen percent. So effectively, 453 00:22:45,119 --> 00:22:48,399 Speaker 8: investors recognize this company has been through just a breath 454 00:22:48,440 --> 00:22:52,160 Speaker 8: taking growth period here. But the general consensus is that 455 00:22:52,280 --> 00:22:55,760 Speaker 8: the business is going to hit the wall. And even 456 00:22:55,800 --> 00:22:57,760 Speaker 8: if you look at the valuation right now, it's actually 457 00:22:57,760 --> 00:23:00,639 Speaker 8: a pretty reasonable valuation. It trades essentially in line with 458 00:23:00,680 --> 00:23:04,800 Speaker 8: its earnings growth expectations for twenty five. So to answer questions, 459 00:23:04,800 --> 00:23:08,800 Speaker 8: what I'm looking for tonight is for CFO Jensen Wong 460 00:23:08,960 --> 00:23:11,520 Speaker 8: just to reiterate what he has said related to where 461 00:23:11,520 --> 00:23:14,680 Speaker 8: we are with an AI and just to briefly recap 462 00:23:14,760 --> 00:23:17,960 Speaker 8: that he has this these four talking points. He talks 463 00:23:17,960 --> 00:23:21,280 Speaker 8: about these four waves of AI and the current phase 464 00:23:21,320 --> 00:23:25,160 Speaker 8: that we're just starting in is BAI infrastructure. That's the hyperscalers, 465 00:23:25,160 --> 00:23:29,120 Speaker 8: that's AI startups. Phase two is enterprise applications that would 466 00:23:29,119 --> 00:23:32,480 Speaker 8: be like copilot. Phase three is going to be heavy 467 00:23:32,520 --> 00:23:35,159 Speaker 8: industry getting generit of AI, and he said that is 468 00:23:35,200 --> 00:23:39,399 Speaker 8: the largest opportunity. Phase four is sovereign nations. I mean, 469 00:23:39,400 --> 00:23:42,440 Speaker 8: there's a lot here. So my bottom line is that 470 00:23:42,800 --> 00:23:47,840 Speaker 8: if investors ultimately walk away from this quarter tomorrow, tonight 471 00:23:48,080 --> 00:23:51,040 Speaker 8: next week and say we're still very early in this 472 00:23:51,359 --> 00:23:54,359 Speaker 8: and Nvidia has got a great pole position, then those 473 00:23:54,400 --> 00:23:58,960 Speaker 8: expectations for calendar twenty five probably start moving higher, which 474 00:23:59,000 --> 00:24:02,080 Speaker 8: is ultimately going to be for the stock and gene when. 475 00:24:01,960 --> 00:24:04,520 Speaker 5: We look at it from a valuation standpoint, about thirty 476 00:24:04,560 --> 00:24:06,879 Speaker 5: times twenty twenty five EPs. 477 00:24:07,240 --> 00:24:09,280 Speaker 2: When you look at what the path. 478 00:24:09,040 --> 00:24:11,919 Speaker 5: Forward that you're mentioning Foreign Video looks like, is it 479 00:24:12,040 --> 00:24:14,480 Speaker 5: just continuing to grow the AI PI, if you will, 480 00:24:14,560 --> 00:24:17,560 Speaker 5: or is it being able to fend off would be rivals. 481 00:24:20,359 --> 00:24:23,200 Speaker 8: Well, I think that just the pie the TAM expansion. 482 00:24:23,200 --> 00:24:25,200 Speaker 8: I mean, this has been one of the talking points 483 00:24:25,240 --> 00:24:28,000 Speaker 8: from AMD. If you look at what they've said at 484 00:24:28,000 --> 00:24:31,240 Speaker 8: their analyst day last fall versus what they've said a 485 00:24:31,320 --> 00:24:36,080 Speaker 8: month ago. They've basically said that their addressable market would 486 00:24:36,119 --> 00:24:38,720 Speaker 8: four x, and then that was three four months ago, 487 00:24:38,760 --> 00:24:40,480 Speaker 8: and a month ago they said it with two x 488 00:24:40,480 --> 00:24:42,720 Speaker 8: from that four x. I mean, these are just it's 489 00:24:42,800 --> 00:24:45,520 Speaker 8: mind boggling kind of how fast these numbers are going up. 490 00:24:45,520 --> 00:24:47,920 Speaker 8: And the reason why they're saying that is they're seeing 491 00:24:47,960 --> 00:24:52,040 Speaker 8: the odor flow and so ultimately, and Video has got 492 00:24:52,040 --> 00:24:55,280 Speaker 8: an amazing product. They've got a product cycle coming up 493 00:24:55,359 --> 00:24:59,160 Speaker 8: they have basically a code and operating system that works 494 00:24:59,200 --> 00:25:02,280 Speaker 8: around what these chips do. It's a developer platform, that's 495 00:25:02,280 --> 00:25:05,360 Speaker 8: a better way to say it. So, but if they've 496 00:25:05,400 --> 00:25:08,000 Speaker 8: got such high market share right now eighty five percent 497 00:25:08,080 --> 00:25:11,440 Speaker 8: in the GPU market, it's really about continuing to expand 498 00:25:11,480 --> 00:25:13,440 Speaker 8: the TAM and I think that that's ultimately going to happen. 499 00:25:13,520 --> 00:25:17,000 Speaker 8: I mean, I'm in the camp that AI is going 500 00:25:17,080 --> 00:25:20,360 Speaker 8: to be more transformative. Twice is transformative what the Internet 501 00:25:20,880 --> 00:25:24,600 Speaker 8: has been, which is hard to wrap your head around that, 502 00:25:24,680 --> 00:25:27,600 Speaker 8: but I think that there's and video is just in 503 00:25:27,640 --> 00:25:30,080 Speaker 8: a great position relative to that opportunity. 504 00:25:30,560 --> 00:25:33,280 Speaker 2: Well, you know, gen, one of my questions is, you know, 505 00:25:33,440 --> 00:25:35,520 Speaker 2: just as a layperson here as it relates to tech spending, 506 00:25:35,520 --> 00:25:38,399 Speaker 2: how much of this tech spending associated with AI do 507 00:25:38,440 --> 00:25:42,560 Speaker 2: you believe is incremental versus maybe just shifting it around 508 00:25:42,560 --> 00:25:43,920 Speaker 2: from other budgets Here. 509 00:25:45,640 --> 00:25:48,920 Speaker 8: The most commentary we've heard is from those big tech companies. 510 00:25:48,920 --> 00:25:53,920 Speaker 8: Those are the hyperscalers. That's the companies like Google and Meta, Microsoft. 511 00:25:54,040 --> 00:25:56,200 Speaker 8: Apple hasn't said as much, but they're going to get 512 00:25:56,200 --> 00:25:58,800 Speaker 8: more into this, but what they've shared is that it 513 00:25:58,880 --> 00:26:03,240 Speaker 8: is incremental. I've talked about you know, their typical run 514 00:26:03,320 --> 00:26:07,280 Speaker 8: rate of CAPEX. Let's just call that at a typical 515 00:26:07,320 --> 00:26:10,920 Speaker 8: growth rate of ten fifteen percent a year, and those 516 00:26:10,960 --> 00:26:13,520 Speaker 8: growth rates, the spending in CAPEX is going to go up, 517 00:26:13,600 --> 00:26:16,080 Speaker 8: call it twenty five thirty percent. This is an average 518 00:26:16,080 --> 00:26:17,639 Speaker 8: if you look at some of those big companies. So 519 00:26:18,160 --> 00:26:21,520 Speaker 8: this is incremental. I mean they're seeing this as you 520 00:26:21,600 --> 00:26:24,320 Speaker 8: have to pay to play to invest in the future, 521 00:26:24,359 --> 00:26:26,880 Speaker 8: and so I think it is incremental. When you when 522 00:26:26,920 --> 00:26:30,680 Speaker 8: you kind of process, like go through the theory of 523 00:26:31,040 --> 00:26:35,199 Speaker 8: this incremental spend, that's how you get expanding addressable markets. 524 00:26:35,240 --> 00:26:37,639 Speaker 8: Is when you get that incremental spend. When things are 525 00:26:37,640 --> 00:26:40,119 Speaker 8: shuffling around, it's hard to get those expanding markets. But 526 00:26:40,280 --> 00:26:42,440 Speaker 8: in this case, I think it is. It is true. 527 00:26:42,480 --> 00:26:46,000 Speaker 8: This is just a whole new infrastructure that's being built 528 00:26:46,440 --> 00:26:49,560 Speaker 8: largely on GPUs versus the old infrastructure on CPUs, and 529 00:26:49,600 --> 00:26:51,360 Speaker 8: that is incremental spend. 530 00:26:51,520 --> 00:26:54,399 Speaker 5: And gene As we've seen the valuation skyrocket and it's 531 00:26:54,520 --> 00:26:57,879 Speaker 5: leaping above a number of well known names, the Metas 532 00:26:57,880 --> 00:26:58,120 Speaker 5: and the. 533 00:26:58,040 --> 00:26:59,080 Speaker 2: Berkshires of the world. 534 00:26:59,400 --> 00:27:03,040 Speaker 5: Can we catch Microsoft Microsoft just south of three trillion 535 00:27:03,040 --> 00:27:05,720 Speaker 5: dollars in market value compared to Nvidia's one point seven. 536 00:27:08,560 --> 00:27:11,280 Speaker 8: I think the AI opportunity is big enough that it 537 00:27:11,400 --> 00:27:14,720 Speaker 8: can catch that. I mean if in fact I'm right, 538 00:27:15,000 --> 00:27:17,280 Speaker 8: and I mean our firm is the firm deep water 539 00:27:17,480 --> 00:27:20,000 Speaker 8: firm believes that this is you know, ninety nine out 540 00:27:20,000 --> 00:27:22,760 Speaker 8: of a scale of zero to one hundred. Is AI 541 00:27:22,920 --> 00:27:27,119 Speaker 8: electricity is one hundred. It's that close and the internet's fifty. 542 00:27:27,119 --> 00:27:31,360 Speaker 8: If that's true, Yes, there is continues to be this 543 00:27:31,520 --> 00:27:34,400 Speaker 8: upside to I don't want to get carried away by 544 00:27:34,400 --> 00:27:36,120 Speaker 8: the way in the moment of kind of the hype. 545 00:27:36,160 --> 00:27:38,760 Speaker 8: I'm just trying to step back and again, I don't 546 00:27:38,760 --> 00:27:40,560 Speaker 8: know what the stock is going to do tomorrow, but 547 00:27:40,640 --> 00:27:44,119 Speaker 8: I do have a sense about how impactful AI is 548 00:27:44,200 --> 00:27:47,120 Speaker 8: ultimately going to be. And so what is that kind 549 00:27:47,119 --> 00:27:50,280 Speaker 8: of that high end of the market cap expansion When 550 00:27:50,320 --> 00:27:53,400 Speaker 8: I was talking about that fourth point sovereign nations, this 551 00:27:53,480 --> 00:27:57,240 Speaker 8: is countries needing to have their own AI to really 552 00:27:57,280 --> 00:28:01,040 Speaker 8: reflect their intelligence and their culture. There are some pretty 553 00:28:01,400 --> 00:28:05,600 Speaker 8: bold and big objectives that these very deep pockets are 554 00:28:05,600 --> 00:28:08,520 Speaker 8: going after. When you think about that relative to the 555 00:28:08,560 --> 00:28:10,520 Speaker 8: market cap, you can build a case that it can 556 00:28:10,520 --> 00:28:11,200 Speaker 8: go much higher. 557 00:28:11,240 --> 00:28:13,119 Speaker 2: Gene, thanks so much again, always appreciate getting your time. 558 00:28:13,200 --> 00:28:15,280 Speaker 2: Gen Munster, managing partner and co founder of deep Water 559 00:28:15,320 --> 00:28:18,239 Speaker 2: Asset Management in Nvidia. After the close gene Monster, one 560 00:28:18,240 --> 00:28:20,080 Speaker 2: of the best voice coming out of the valley. 561 00:28:21,600 --> 00:28:25,480 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 562 00:28:25,560 --> 00:28:29,080 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 563 00:28:29,119 --> 00:28:31,879 Speaker 1: Auto with the Bloomberg Business app. You can also listen 564 00:28:32,000 --> 00:28:35,080 Speaker 1: live on Amazon Alexa from our flagship New York station, 565 00:28:35,440 --> 00:28:38,240 Speaker 1: Just Say Alexa playing Bloomberg eleven thirty. 566 00:28:39,480 --> 00:28:41,600 Speaker 2: Potentially a big day in the market today. After the clothes, 567 00:28:41,640 --> 00:28:43,480 Speaker 2: we get in Vidia reporting. We'll see what it means 568 00:28:43,480 --> 00:28:46,120 Speaker 2: for that stock, for the tech sector, for the market overall. 569 00:28:46,760 --> 00:28:48,320 Speaker 2: So let's just get a sense of what's happening out 570 00:28:48,320 --> 00:28:49,600 Speaker 2: there in this market place. 571 00:28:49,640 --> 00:28:49,880 Speaker 4: Here. 572 00:28:50,080 --> 00:28:52,440 Speaker 2: Carol Pepper joins us. She's a founder and CEO of 573 00:28:52,520 --> 00:28:58,080 Speaker 2: Pepper International. Joining us on a zoom call from NYC. Carol, 574 00:28:58,080 --> 00:29:00,360 Speaker 2: thanks so much for joining us here. I don't know 575 00:29:00,400 --> 00:29:02,760 Speaker 2: if you're a tech geek or you're into this old 576 00:29:03,120 --> 00:29:05,560 Speaker 2: in vidio thing, but boy, it's certainly had an impact 577 00:29:06,120 --> 00:29:08,240 Speaker 2: on this market. Certainly the AI has been a big, 578 00:29:08,240 --> 00:29:10,880 Speaker 2: big narrative for this market. How do you think about that? 579 00:29:12,240 --> 00:29:15,560 Speaker 9: Well, AI is the next large trend that people need 580 00:29:15,600 --> 00:29:16,120 Speaker 9: to ride. 581 00:29:16,960 --> 00:29:19,480 Speaker 10: As you know, I manage money for family offices that 582 00:29:19,600 --> 00:29:21,960 Speaker 10: have greater than one hundred million dollars in net worth, 583 00:29:22,040 --> 00:29:25,200 Speaker 10: So we're always looking for the important long term trends. 584 00:29:25,280 --> 00:29:28,480 Speaker 10: And when Vidias burst on the scene and began to 585 00:29:28,560 --> 00:29:33,360 Speaker 10: support the development of AI, it became a very interesting stock. 586 00:29:34,240 --> 00:29:36,880 Speaker 10: The reporting today whether it's up or down, and whether 587 00:29:36,920 --> 00:29:39,640 Speaker 10: the market likes it short term, it's a long term play. 588 00:29:39,720 --> 00:29:40,440 Speaker 9: So I tell. 589 00:29:40,280 --> 00:29:42,800 Speaker 10: People on a fear day when in video is perhaps 590 00:29:42,800 --> 00:29:45,840 Speaker 10: down a bit, even perhaps after earnings are announced, it 591 00:29:45,920 --> 00:29:47,880 Speaker 10: might go down slightly for a few days. 592 00:29:48,000 --> 00:29:51,400 Speaker 9: That's what happens. That's a stock to buy and hold 593 00:29:51,480 --> 00:29:51,960 Speaker 9: long term. 594 00:29:52,000 --> 00:29:54,120 Speaker 10: Ten years from now, you'll be very glad you bought 595 00:29:54,120 --> 00:29:57,040 Speaker 10: that security because it's it's really a way to start 596 00:29:57,080 --> 00:29:59,520 Speaker 10: riding the trend, as is Microsoft, by the way, because 597 00:29:59,520 --> 00:30:03,080 Speaker 10: Microsoft is not going to let Nvidia take that whole market. 598 00:30:03,120 --> 00:30:06,280 Speaker 10: They're starting to develop some new technology as well toward AI. 599 00:30:06,960 --> 00:30:09,320 Speaker 5: So caro, what else do you like in the call 600 00:30:09,360 --> 00:30:13,480 Speaker 5: it AI semiconductor space. Then if buying the dip or 601 00:30:13,680 --> 00:30:16,160 Speaker 5: sell off on Nvidia and kind of the ripple effects 602 00:30:16,360 --> 00:30:18,080 Speaker 5: does play out, where else would you be looking to 603 00:30:18,080 --> 00:30:18,880 Speaker 5: put money to work. 604 00:30:19,680 --> 00:30:22,320 Speaker 9: Well, I just think you want to go with a 605 00:30:22,360 --> 00:30:23,760 Speaker 9: big basket if you can. 606 00:30:23,840 --> 00:30:26,200 Speaker 10: So for a lot of the investors out there that 607 00:30:26,240 --> 00:30:28,920 Speaker 10: aren't necessarily buying single stocks, you can look at even 608 00:30:29,280 --> 00:30:32,360 Speaker 10: baskets like QQQ. There are other AI baskets that are 609 00:30:32,360 --> 00:30:34,680 Speaker 10: going to be coming out very shortly, you know. 610 00:30:35,200 --> 00:30:37,040 Speaker 9: I think you buy market leaders right now. 611 00:30:37,080 --> 00:30:39,760 Speaker 10: So I would stick with Nvidia for your main play 612 00:30:39,800 --> 00:30:42,680 Speaker 10: on AI and Microsoft at the moment. It doesn't mean 613 00:30:42,680 --> 00:30:45,720 Speaker 10: there won't be new players that are interesting coming forward, 614 00:30:45,760 --> 00:30:49,240 Speaker 10: but at the moment, market leaders have continued to lead. 615 00:30:49,400 --> 00:30:52,440 Speaker 10: So this has been a market where the biggest, biggest 616 00:30:52,440 --> 00:30:55,440 Speaker 10: caps with the most money whatever sector you're looking at, 617 00:30:55,520 --> 00:30:58,640 Speaker 10: or leading. So don't get too cute, buy the leaders 618 00:30:58,720 --> 00:31:00,680 Speaker 10: just on a fear day when you can get in 619 00:31:00,680 --> 00:31:01,600 Speaker 10: at a decent price. 620 00:31:01,680 --> 00:31:04,800 Speaker 5: All right, Carol, So you're mentioning in Nvidia, Microsoft two 621 00:31:04,840 --> 00:31:07,560 Speaker 5: of the Magnificent seven people wanting to call it the 622 00:31:07,760 --> 00:31:12,440 Speaker 5: Fab five. Is a shout out to the Michigan basketball team. 623 00:31:12,800 --> 00:31:16,040 Speaker 5: What's your take on the rest of the group, just 624 00:31:16,160 --> 00:31:19,440 Speaker 5: giving kind of the divide that we've seen within Nvidia 625 00:31:19,720 --> 00:31:21,640 Speaker 5: really kind of carrying the baton at this point. 626 00:31:22,840 --> 00:31:25,240 Speaker 10: Yeah, Well, the one I would toss out, which is 627 00:31:25,480 --> 00:31:27,800 Speaker 10: which I think will get tossed out itself, is Tesla. 628 00:31:28,440 --> 00:31:30,520 Speaker 9: I mean, I think Elon musk is. 629 00:31:30,640 --> 00:31:33,280 Speaker 10: You know, his attention is to divide between too many things, 630 00:31:33,360 --> 00:31:36,680 Speaker 10: and he's becoming a political liability. He's putting himself far 631 00:31:36,760 --> 00:31:39,640 Speaker 10: out on the spectrum. So that's the one that I 632 00:31:39,680 --> 00:31:41,360 Speaker 10: would toss. I don't think they're going to be a 633 00:31:41,360 --> 00:31:43,920 Speaker 10: market leader five years from now at all, because his 634 00:31:44,400 --> 00:31:47,640 Speaker 10: attention is too split and he's too troublesome. So I 635 00:31:47,720 --> 00:31:49,840 Speaker 10: get rid of Tesla and I'd buy the others as 636 00:31:49,840 --> 00:31:52,640 Speaker 10: a basket. My favorite stock for years and yours. 637 00:31:52,360 --> 00:31:53,160 Speaker 9: Has been Amazon. 638 00:31:53,320 --> 00:31:56,120 Speaker 10: I think that will continue to be a strong leader. 639 00:31:56,120 --> 00:32:00,360 Speaker 10: They're continuing to expand, and that they will take. 640 00:32:00,200 --> 00:32:03,000 Speaker 9: Over the pharmacy spase eventually. That's something they're trying to do, 641 00:32:03,200 --> 00:32:04,920 Speaker 9: and that's the stock to watch. 642 00:32:05,160 --> 00:32:07,720 Speaker 2: Hey, Carol, you've been in this managing you know, the 643 00:32:07,720 --> 00:32:12,080 Speaker 2: wealth of these high networth families for decades. Now. How 644 00:32:12,080 --> 00:32:14,600 Speaker 2: does that change? How's that business change? What are your clients? 645 00:32:14,800 --> 00:32:16,880 Speaker 2: Are your clients today different than maybe they were twenty 646 00:32:16,960 --> 00:32:17,360 Speaker 2: years ago? 647 00:32:18,360 --> 00:32:21,160 Speaker 10: Yeah, I think family offices and high net worth individuals 648 00:32:21,200 --> 00:32:24,680 Speaker 10: have become extremely sophisticated. Over the last twenty years, most 649 00:32:24,720 --> 00:32:28,520 Speaker 10: of them have pulled the acid allocation decision and the 650 00:32:28,560 --> 00:32:32,520 Speaker 10: stock selection decision inside of their own private family offices. 651 00:32:32,560 --> 00:32:34,880 Speaker 10: That's what I do. I act as a CIO to 652 00:32:35,000 --> 00:32:38,240 Speaker 10: the single family offices. They used to give all of 653 00:32:38,240 --> 00:32:40,640 Speaker 10: those decisions to the banks, but that's like you know, 654 00:32:40,800 --> 00:32:42,760 Speaker 10: handing the fox the keys to the henhouse. 655 00:32:42,800 --> 00:32:44,240 Speaker 9: They understand that. 656 00:32:44,280 --> 00:32:47,560 Speaker 10: Banks are actually like supermarkets, and you should go shopping 657 00:32:47,600 --> 00:32:49,360 Speaker 10: at a bank with a list of what you want. 658 00:32:49,800 --> 00:32:52,240 Speaker 10: For example, don't let the bank tell you how much 659 00:32:52,320 --> 00:32:55,040 Speaker 10: large cap growth to put in your portfolios. You tell 660 00:32:55,080 --> 00:32:57,320 Speaker 10: the bank what you want and you let them show 661 00:32:57,360 --> 00:32:58,320 Speaker 10: you the products that they have. 662 00:32:58,480 --> 00:33:02,800 Speaker 9: So the power balance has really changed. Now we see family. 663 00:33:02,480 --> 00:33:06,480 Speaker 10: Offices taking control of their risk appetite, their asset allocation. 664 00:33:07,080 --> 00:33:09,920 Speaker 9: They're not following every trend that comes out on the street. 665 00:33:10,000 --> 00:33:13,480 Speaker 10: You know, suddenly Germany's gonna outperform the US, or some 666 00:33:13,800 --> 00:33:15,720 Speaker 10: trend will be pushed by Wall Street for a few 667 00:33:15,720 --> 00:33:18,640 Speaker 10: months and then fizzle. The families aren't buying it. You know, 668 00:33:18,760 --> 00:33:21,479 Speaker 10: the families were out of China long before the general 669 00:33:21,520 --> 00:33:24,720 Speaker 10: market was. Because the bankers don't like to admit mistakes 670 00:33:24,720 --> 00:33:27,960 Speaker 10: so they don't pivot very quickly. But the family offices 671 00:33:28,000 --> 00:33:30,760 Speaker 10: can pivot in a day and change their mind about something. 672 00:33:30,880 --> 00:33:34,320 Speaker 10: So that's why they tend to be really leading investors. 673 00:33:34,920 --> 00:33:38,320 Speaker 10: They're into these trends long before everybody else is because 674 00:33:38,320 --> 00:33:40,160 Speaker 10: they have no one to answer to about themselves. 675 00:33:40,840 --> 00:33:44,040 Speaker 5: And Carol, with kind of that topic in mind, how 676 00:33:44,040 --> 00:33:45,800 Speaker 5: far out are you going at this point in time 677 00:33:46,040 --> 00:33:48,040 Speaker 5: on the risk curve you mentioned in video really kind 678 00:33:48,040 --> 00:33:49,800 Speaker 5: of setting the tone for AI and being a long 679 00:33:49,880 --> 00:33:52,640 Speaker 5: term buying opportunity. You're focusing on some of these big 680 00:33:52,680 --> 00:33:56,200 Speaker 5: tech names. Are you dabbling and putting exposure into smaller 681 00:33:56,520 --> 00:33:58,760 Speaker 5: maybe emerging technologies. 682 00:33:59,320 --> 00:34:00,320 Speaker 9: Yeah, I mean Eaton. 683 00:34:00,480 --> 00:34:03,440 Speaker 10: Family offices tend to look at direct smaller place, so 684 00:34:03,480 --> 00:34:06,000 Speaker 10: we go in at the very early stage, sometimes pre 685 00:34:06,080 --> 00:34:09,520 Speaker 10: seed or seat stage, into venture capital. We don't tend 686 00:34:09,600 --> 00:34:12,440 Speaker 10: to be you know, in the pink sheets or the 687 00:34:12,480 --> 00:34:15,200 Speaker 10: small publics. Those are in difficult places. That's why you 688 00:34:15,239 --> 00:34:17,640 Speaker 10: see now a lot more companies staying private and then 689 00:34:17,680 --> 00:34:21,640 Speaker 10: going public with a billion dollar valuation because there's a graveyard. 690 00:34:21,719 --> 00:34:24,120 Speaker 10: Unfortunately with a lot of small caps. They'll rally for 691 00:34:24,160 --> 00:34:27,920 Speaker 10: a few days and then they'll die again. So we 692 00:34:28,000 --> 00:34:30,880 Speaker 10: take the bets in the small companies, in directs or 693 00:34:30,920 --> 00:34:33,880 Speaker 10: in private equity not so much fun sometimes funds, but 694 00:34:33,960 --> 00:34:37,920 Speaker 10: more direct frankly, and then go for the market leaders 695 00:34:37,960 --> 00:34:41,200 Speaker 10: in the market. And that's how we sort of split 696 00:34:41,239 --> 00:34:44,480 Speaker 10: the risk reward scenario. 697 00:34:44,160 --> 00:34:45,880 Speaker 9: There than cal on the side. 698 00:34:45,960 --> 00:34:48,520 Speaker 2: How much what do your clients ask of you as 699 00:34:48,520 --> 00:34:51,560 Speaker 2: it relates to alternative investments and if to the extent 700 00:34:51,600 --> 00:34:53,279 Speaker 2: they have that, how do you scratch that? 701 00:34:54,440 --> 00:34:54,640 Speaker 4: Oh? 702 00:34:54,680 --> 00:34:58,239 Speaker 10: Well, it's Alternatives are a huge part of family office portfolios. 703 00:34:58,320 --> 00:35:01,520 Speaker 10: Sometimes they're thirty to forty percent of portfolios. Why because again, 704 00:35:01,600 --> 00:35:04,680 Speaker 10: family offices can go into things like venture debt, they 705 00:35:04,680 --> 00:35:07,640 Speaker 10: can go into private lending, they can go into all 706 00:35:07,719 --> 00:35:11,080 Speaker 10: kinds of you know, esoteric areas or very specialized real 707 00:35:11,200 --> 00:35:13,880 Speaker 10: estate plays in an area that they know well. So 708 00:35:14,239 --> 00:35:18,719 Speaker 10: alternatives are huge for family offices because generally there's more risk, 709 00:35:18,760 --> 00:35:21,600 Speaker 10: there's less liquidity, but there's more return and alternatives and 710 00:35:21,640 --> 00:35:24,720 Speaker 10: that's something family offices can definitely handle. 711 00:35:25,160 --> 00:35:26,920 Speaker 9: You know, my family offices, I always. 712 00:35:26,640 --> 00:35:29,040 Speaker 10: Have them have at least two years worth of expenses 713 00:35:29,080 --> 00:35:32,160 Speaker 10: set aside in cash and money markets earning four or 714 00:35:32,160 --> 00:35:34,480 Speaker 10: five percent, and then we go take risk with longer 715 00:35:34,560 --> 00:35:36,000 Speaker 10: term money so they're. 716 00:35:35,920 --> 00:35:38,320 Speaker 9: Very open and very interested on alternatives. 717 00:35:38,680 --> 00:35:42,520 Speaker 10: Alternatives in real estate funding, biotechs funding, you know. 718 00:35:42,520 --> 00:35:44,160 Speaker 9: Research, genetic research. 719 00:35:44,200 --> 00:35:47,239 Speaker 10: There's all sorts of very very interesting deals that go 720 00:35:47,360 --> 00:35:49,920 Speaker 10: family office to family office and never see the inside 721 00:35:49,920 --> 00:35:51,160 Speaker 10: of JP Morgan or. 722 00:35:51,239 --> 00:35:52,720 Speaker 4: Oldman Sachs Carol. 723 00:35:53,000 --> 00:35:54,759 Speaker 5: During my day job, when I'm not hanging out with Paul, 724 00:35:54,760 --> 00:35:57,719 Speaker 5: I read about the IPO market and it still very 725 00:35:57,800 --> 00:36:00,640 Speaker 5: much feels when I talk to venture cap less investors 726 00:36:00,640 --> 00:36:02,520 Speaker 5: as well as kind of some of the crossover funds, 727 00:36:02,520 --> 00:36:05,839 Speaker 5: that it is a investor friendly market where you can 728 00:36:05,920 --> 00:36:08,799 Speaker 5: walk away on valuation or pick up some of these 729 00:36:08,960 --> 00:36:11,920 Speaker 5: shares of companies in the private markets at a steep discount. 730 00:36:12,040 --> 00:36:14,400 Speaker 5: How are you putting money to work in the private 731 00:36:14,840 --> 00:36:18,240 Speaker 5: arena and how has that really shifted from a peak, 732 00:36:18,360 --> 00:36:20,239 Speaker 5: you know, just over two years ago. 733 00:36:21,160 --> 00:36:24,840 Speaker 10: Yeah, I think the private market obviously you can't expect 734 00:36:24,840 --> 00:36:27,120 Speaker 10: a big and quick in and out right now. 735 00:36:27,520 --> 00:36:29,160 Speaker 9: Markets drifts still very tenuous. 736 00:36:29,200 --> 00:36:31,439 Speaker 10: I think they'll get less tenuous when rates come down 737 00:36:31,440 --> 00:36:33,680 Speaker 10: a bit so that financing gets easier. 738 00:36:34,560 --> 00:36:35,960 Speaker 9: But things have not. 739 00:36:36,120 --> 00:36:37,960 Speaker 10: You know, people are out there trying to beat up 740 00:36:37,960 --> 00:36:40,400 Speaker 10: the small companies and get in at the good valuation. 741 00:36:40,640 --> 00:36:42,920 Speaker 10: And you know, evaluation for a company that might have 742 00:36:42,920 --> 00:36:45,480 Speaker 10: been twenty million is now five and it's heartbreaking for 743 00:36:45,520 --> 00:36:48,960 Speaker 10: the entrepreneurs. So you can pick up some discounts in 744 00:36:49,000 --> 00:36:51,720 Speaker 10: that respect because they're just people that couldn't get funded. 745 00:36:52,800 --> 00:36:55,239 Speaker 10: But you still have to look for the fundamentals, which 746 00:36:55,280 --> 00:36:58,239 Speaker 10: is a very strong team, a very strong you know, 747 00:36:58,560 --> 00:37:01,960 Speaker 10: go back to Michael Porter Competitive Advantage. You know, Harvard 748 00:37:01,960 --> 00:37:04,880 Speaker 10: Business School, read that book. It's a classic. Why is 749 00:37:04,880 --> 00:37:08,399 Speaker 10: this company in existence? And why should it win? Because 750 00:37:08,440 --> 00:37:10,839 Speaker 10: if there's no winning strategy, it doesn't matter how cheap 751 00:37:10,840 --> 00:37:13,080 Speaker 10: you get the company, it's just going to die. Because 752 00:37:13,120 --> 00:37:15,400 Speaker 10: a lot of these companies are dying now because they can't. 753 00:37:15,719 --> 00:37:18,319 Speaker 10: The old model was you just live on rounds and 754 00:37:18,400 --> 00:37:20,760 Speaker 10: rounds of financing until eventually you pop. 755 00:37:21,320 --> 00:37:22,120 Speaker 9: That model's gone. 756 00:37:22,200 --> 00:37:26,280 Speaker 10: There's less tolerance for continually refunding. A company that can't 757 00:37:26,320 --> 00:37:30,440 Speaker 10: earn can't make earnings unless it's led by somebody huge, 758 00:37:30,480 --> 00:37:32,560 Speaker 10: you know, like the founder of Uber or something where 759 00:37:32,600 --> 00:37:34,040 Speaker 10: you know that guy knows how to do it. But 760 00:37:34,400 --> 00:37:37,160 Speaker 10: for new startups, you're looking for cash flow a lot earlier, 761 00:37:37,680 --> 00:37:40,319 Speaker 10: and that gives and people are raising smaller rounds, so 762 00:37:40,360 --> 00:37:42,520 Speaker 10: you get into a lot of sprinkle into some small 763 00:37:42,520 --> 00:37:45,040 Speaker 10: pre seed rounds and then help the company grow is 764 00:37:45,120 --> 00:37:48,160 Speaker 10: more of the strategy these days in my experience. 765 00:37:48,640 --> 00:37:50,920 Speaker 5: Gotcha, Carol, we only have about thirty seconds left. One 766 00:37:50,920 --> 00:37:52,799 Speaker 5: of the stocks we talked about at the top of 767 00:37:52,800 --> 00:37:55,840 Speaker 5: the show, Palato Networks, down twenty six percent. This is 768 00:37:55,880 --> 00:37:58,840 Speaker 5: a big cybersecurity play. Are those type of selloffs that 769 00:37:58,880 --> 00:38:00,279 Speaker 5: you would look to buy? 770 00:38:01,480 --> 00:38:04,000 Speaker 10: Absolutely, I don't happen to know that company very well, 771 00:38:04,040 --> 00:38:07,279 Speaker 10: but yes, I mean there are the market swings a lot, 772 00:38:07,400 --> 00:38:09,560 Speaker 10: So you should have your favorite names, know why you 773 00:38:09,680 --> 00:38:11,680 Speaker 10: like them, now, how they're going to fit into your portfolio, 774 00:38:11,719 --> 00:38:13,920 Speaker 10: and what size you want, and then wait for the 775 00:38:13,960 --> 00:38:15,880 Speaker 10: fear day. You know, there'll be a fear day for 776 00:38:16,000 --> 00:38:18,799 Speaker 10: Nvidia too. Even though it's so high, people have said 777 00:38:18,840 --> 00:38:20,719 Speaker 10: to me, I can't get in. You know, people were 778 00:38:20,719 --> 00:38:23,080 Speaker 10: saying that about Amazon ten years ago. Oh it's too high, 779 00:38:23,120 --> 00:38:25,840 Speaker 10: I can't get in. So those value guys miss the 780 00:38:26,000 --> 00:38:28,719 Speaker 10: entire run. So just you know, hold your breath, hold 781 00:38:28,760 --> 00:38:31,319 Speaker 10: your nose, and get in on a fear day to 782 00:38:31,400 --> 00:38:32,080 Speaker 10: the stocks that. 783 00:38:32,040 --> 00:38:32,839 Speaker 9: You're interested in. 784 00:38:32,880 --> 00:38:35,279 Speaker 10: And by the way, cybersecurity long term is a very 785 00:38:35,320 --> 00:38:37,600 Speaker 10: important play and trend that is. 786 00:38:37,560 --> 00:38:38,320 Speaker 9: Not going away. 787 00:38:38,560 --> 00:38:40,080 Speaker 2: Hi, Carol, Thank you so much for your time. Really 788 00:38:40,120 --> 00:38:44,480 Speaker 2: appreciate it. Carol Pepper, President, founder and CEO Pepper International, 789 00:38:44,640 --> 00:38:47,680 Speaker 2: joining us via that Zoom thing from New York City. 790 00:38:47,719 --> 00:38:49,200 Speaker 2: I appreciate getting a few minutes of your time. 791 00:38:50,719 --> 00:38:54,600 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 792 00:38:54,680 --> 00:38:58,200 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 793 00:38:58,239 --> 00:39:01,400 Speaker 1: Auto with the Bloomberg Business. You can also listen live 794 00:39:01,520 --> 00:39:04,680 Speaker 1: on Amazon Alexa from our flagship New York station, Just 795 00:39:04,760 --> 00:39:07,640 Speaker 1: Say Alexa playing Bloomberg eleven thirty. 796 00:39:09,160 --> 00:39:13,200 Speaker 2: Looking at bitcoin here memory of Matt Miller boys since 797 00:39:13,239 --> 00:39:16,120 Speaker 2: a March low last year March of last year, except 798 00:39:16,120 --> 00:39:18,560 Speaker 2: about one hundred and fifty five percent. It just had 799 00:39:18,600 --> 00:39:20,320 Speaker 2: such a huge move and there's a lot of reasons 800 00:39:20,320 --> 00:39:23,560 Speaker 2: behind that, including we got to spot bitcoin ETF, which 801 00:39:23,560 --> 00:39:25,640 Speaker 2: I think the crypto kids are all happy about. Cave 802 00:39:25,719 --> 00:39:28,680 Speaker 2: Tagupta joins and she's a founder and managing partner of 803 00:39:28,760 --> 00:39:32,239 Speaker 2: Delta Blockchain Fund. She joins us on Zoom from New 804 00:39:32,320 --> 00:39:36,279 Speaker 2: York City. Coveta, big move here in bitcoin. I'd love 805 00:39:36,320 --> 00:39:38,960 Speaker 2: to get your thoughts about kind of what's really driving 806 00:39:39,000 --> 00:39:41,719 Speaker 2: it here over the last you know, kind of eight 807 00:39:41,719 --> 00:39:43,360 Speaker 2: to nine ten months. 808 00:39:44,600 --> 00:39:46,600 Speaker 11: First of all, paulin Biley, thank you for having me. 809 00:39:48,480 --> 00:39:50,799 Speaker 11: I think it's been a very interesting journey. People in 810 00:39:50,840 --> 00:39:52,600 Speaker 11: the space already knew that. 811 00:39:53,080 --> 00:39:53,799 Speaker 7: Of course, the. 812 00:39:53,880 --> 00:39:58,560 Speaker 11: Anticipation of Bitcoin ETF plus the halving of bitcoin which 813 00:39:58,640 --> 00:40:01,600 Speaker 11: is about to happen in May starting from April, which 814 00:40:01,680 --> 00:40:03,520 Speaker 11: is going to make it more difficult to. 815 00:40:03,520 --> 00:40:04,840 Speaker 7: Produce new bitcoins. 816 00:40:05,480 --> 00:40:08,800 Speaker 11: So the basic principle of economics of supply and demand 817 00:40:08,880 --> 00:40:11,759 Speaker 11: is going to be off. Are going to trigger a 818 00:40:11,800 --> 00:40:15,359 Speaker 11: lot of bitcoin movement in a positive direction to. 819 00:40:15,360 --> 00:40:18,279 Speaker 5: The downside, though with the underlying risk a lot of 820 00:40:18,360 --> 00:40:23,040 Speaker 5: uncertainty from the stock markets perspective. Is fifty thousand a 821 00:40:23,040 --> 00:40:24,960 Speaker 5: support level? Kind of what do you look at when 822 00:40:25,000 --> 00:40:29,239 Speaker 5: you're seeing potential downside, just given how volatile bitcoin historically 823 00:40:29,280 --> 00:40:31,800 Speaker 5: has been pulling back from some of these big rallies. 824 00:40:32,880 --> 00:40:35,919 Speaker 11: Yeah, and I don't think this is all time high. 825 00:40:35,960 --> 00:40:38,360 Speaker 11: As you said that, it is a support point. The 826 00:40:38,400 --> 00:40:42,480 Speaker 11: support point may go down to early forties or mid forties, 827 00:40:42,960 --> 00:40:45,239 Speaker 11: but I doubt it's going to go down before it 828 00:40:45,320 --> 00:40:48,040 Speaker 11: reaches an all time higher. We see a cryptosummer end 829 00:40:48,080 --> 00:40:50,360 Speaker 11: of this year to mid of next year, back to 830 00:40:50,480 --> 00:40:54,520 Speaker 11: sixteen or in twenties anytime soon for an year or two. 831 00:40:55,120 --> 00:40:57,440 Speaker 7: I feel like there is so much of new. 832 00:40:57,239 --> 00:41:00,439 Speaker 11: Capital because of the Bitcoin ETF, which has come into 833 00:41:00,440 --> 00:41:03,759 Speaker 11: the market multi billion dollars, that the there is now 834 00:41:03,800 --> 00:41:05,960 Speaker 11: going to be a continuous demand for bitcoin. 835 00:41:06,400 --> 00:41:09,160 Speaker 2: So come to hell else? I mean, should we expect 836 00:41:09,360 --> 00:41:13,480 Speaker 2: an ethereum bitcoin? I mean e ETF going forward? Is 837 00:41:13,480 --> 00:41:15,400 Speaker 2: that kind of the next thing you guys are looking. 838 00:41:15,160 --> 00:41:19,839 Speaker 11: For Ethereum is the technology and ether ETF. Yes, there 839 00:41:19,880 --> 00:41:22,440 Speaker 11: is a conversation going on. And why not because at 840 00:41:22,480 --> 00:41:24,360 Speaker 11: the end of the day, ETF is the wages for 841 00:41:24,440 --> 00:41:27,720 Speaker 11: the institutional investors within us to be able to hold 842 00:41:27,760 --> 00:41:32,319 Speaker 11: it in a much more credible manner and to have 843 00:41:32,440 --> 00:41:34,000 Speaker 11: more capital injected in it. 844 00:41:34,400 --> 00:41:36,920 Speaker 7: I am, personally, honestly at this point of time, if 845 00:41:36,920 --> 00:41:37,399 Speaker 7: it's just. 846 00:41:37,719 --> 00:41:42,680 Speaker 11: The price or the technology from both perspective, more bullish 847 00:41:42,840 --> 00:41:47,200 Speaker 11: on Ether than Bitcoin. I do feel like the Ether 848 00:41:47,440 --> 00:41:50,320 Speaker 11: has been going between two point nine to three point 849 00:41:50,360 --> 00:41:54,279 Speaker 11: one kin last two three days. Again, I feel like 850 00:41:54,400 --> 00:41:56,120 Speaker 11: even if it goes down a little bit, we're going 851 00:41:56,160 --> 00:41:58,600 Speaker 11: to see the resting price in two But I am 852 00:41:58,719 --> 00:42:02,320 Speaker 11: more bullish on Ether the overall technology for ethereum. 853 00:42:02,640 --> 00:42:05,799 Speaker 5: Okay, so your bullush Ether over bitcoin. Where else are 854 00:42:05,800 --> 00:42:09,160 Speaker 5: you seeing opportunities? It seemed like coinbase was seen as 855 00:42:09,200 --> 00:42:12,040 Speaker 5: a big winner and a number of these other platforms 856 00:42:12,040 --> 00:42:16,160 Speaker 5: and technologies just given the approval of the ETFs that 857 00:42:16,200 --> 00:42:16,840 Speaker 5: Paul mentioned. 858 00:42:17,960 --> 00:42:21,520 Speaker 11: Yeah, I think within the space there is a lot 859 00:42:21,560 --> 00:42:24,600 Speaker 11: of technologies. The other layer twos which I'm really bullish about, 860 00:42:24,680 --> 00:42:27,879 Speaker 11: or the roll ups is optimism is a big one. 861 00:42:28,040 --> 00:42:31,320 Speaker 11: I do see resurrection of Solana when the DeFi institution 862 00:42:31,560 --> 00:42:34,359 Speaker 11: is going to happen, and a lot of defive which 863 00:42:34,400 --> 00:42:37,040 Speaker 11: is very similar to how the hedge funes work with 864 00:42:37,640 --> 00:42:41,560 Speaker 11: USD or different currencies. The same thing with ether, bitcoin 865 00:42:41,960 --> 00:42:46,719 Speaker 11: and with the stable coins. We have decentralized financial products 866 00:42:46,840 --> 00:42:50,759 Speaker 11: like aw A, compound, a lot of lending protococols. I 867 00:42:50,960 --> 00:42:53,719 Speaker 11: do feel like there's going to be an institutional staking 868 00:42:54,080 --> 00:42:57,040 Speaker 11: around that and that's going to really take over a 869 00:42:57,080 --> 00:43:01,279 Speaker 11: lot of technology solutions. So I'm also bid bullish on 870 00:43:01,360 --> 00:43:03,640 Speaker 11: Celestia and different data layers two. 871 00:43:04,239 --> 00:43:08,560 Speaker 2: So who's capta Who are you talking to? You've got 872 00:43:08,560 --> 00:43:11,760 Speaker 2: a fund, you invest in companies, you see very early 873 00:43:11,800 --> 00:43:15,840 Speaker 2: stage companies out there. How broad do you think is 874 00:43:15,920 --> 00:43:19,759 Speaker 2: the support out there for just crypto blockchain because we 875 00:43:19,800 --> 00:43:21,640 Speaker 2: still have the likes of a Jamie Diamond just giving 876 00:43:21,680 --> 00:43:24,960 Speaker 2: it no love whatsoever, and I'm wondering just how deep 877 00:43:25,040 --> 00:43:25,680 Speaker 2: your market is. 878 00:43:27,000 --> 00:43:30,160 Speaker 11: So you do have people like Jamie Diamond who doesn't 879 00:43:30,160 --> 00:43:32,200 Speaker 11: love it and very vocal about it. But at the 880 00:43:32,239 --> 00:43:36,840 Speaker 11: same time, the market continues, right he has been vocal 881 00:43:36,880 --> 00:43:40,160 Speaker 11: against it since sixteen or fifteen if I remember it correctly, 882 00:43:40,719 --> 00:43:44,720 Speaker 11: and we didn't disappear. The market continued, it has become 883 00:43:44,800 --> 00:43:47,640 Speaker 11: more strength, and I don't see a space wear JP 884 00:43:47,719 --> 00:43:50,440 Speaker 11: margat at any given point of time will not offer 885 00:43:50,640 --> 00:43:54,319 Speaker 11: its clients and ETF option. 886 00:43:54,239 --> 00:43:56,439 Speaker 7: On Bitcoin or on Ether over time. 887 00:43:57,640 --> 00:44:01,880 Speaker 11: So I do believe that the technology is here to stay. 888 00:44:02,320 --> 00:44:05,160 Speaker 11: Now what form of it is going to be there 889 00:44:05,200 --> 00:44:07,200 Speaker 11: and what form of token's going to be there? 890 00:44:07,320 --> 00:44:10,800 Speaker 7: Some crypto and some technology tokens that will have to 891 00:44:10,840 --> 00:44:11,800 Speaker 7: see within us. 892 00:44:11,880 --> 00:44:14,520 Speaker 11: But one of the most interesting part about this space 893 00:44:14,640 --> 00:44:18,960 Speaker 11: is it's very global. So one country, even if they 894 00:44:18,960 --> 00:44:21,759 Speaker 11: have tried in the past, has not been able to 895 00:44:21,880 --> 00:44:23,160 Speaker 11: really close. 896 00:44:22,840 --> 00:44:23,799 Speaker 7: The chapter on it. 897 00:44:24,239 --> 00:44:27,719 Speaker 11: So we continues to see countries like Abu Dhabi coming 898 00:44:27,800 --> 00:44:30,920 Speaker 11: up giving licenses, or Singapore trying to be ahead of it, 899 00:44:31,160 --> 00:44:33,960 Speaker 11: or countries in euro from UK to Lisbon trying to 900 00:44:34,000 --> 00:44:35,440 Speaker 11: be an amazing hub. 901 00:44:35,640 --> 00:44:39,040 Speaker 7: For the growth. So I just see a lot of 902 00:44:39,080 --> 00:44:39,960 Speaker 7: growth in the space. 903 00:44:40,320 --> 00:44:44,480 Speaker 5: Well, Kavita, you can't talk about crypto without mentioning binance 904 00:44:44,520 --> 00:44:49,080 Speaker 5: and FTX. How do you approach investing given the fact 905 00:44:49,160 --> 00:44:52,319 Speaker 5: that bulls will argue that bad actors are being flushed out, 906 00:44:52,320 --> 00:44:54,600 Speaker 5: But on the flip side, it feels like that could 907 00:44:54,680 --> 00:44:58,560 Speaker 5: just open up an opportunity for other people to take advantage. 908 00:44:58,920 --> 00:45:02,759 Speaker 11: So I think the game anytime when there is finance 909 00:45:02,800 --> 00:45:05,680 Speaker 11: and money and dollar involved in it, whether it's made 910 00:45:05,680 --> 00:45:09,480 Speaker 11: of scheme or whether it's like anything out there, you 911 00:45:09,680 --> 00:45:12,319 Speaker 11: are going to see scams, some sort of scams or 912 00:45:12,320 --> 00:45:15,200 Speaker 11: some things which you don't have regulations and have a 913 00:45:15,239 --> 00:45:18,399 Speaker 11: great area people really pushing beyond. So we do have 914 00:45:18,560 --> 00:45:21,600 Speaker 11: FTX and finance and to be very honest, and I 915 00:45:21,800 --> 00:45:26,040 Speaker 11: don't take away that what FTX did was completely stupid, 916 00:45:26,320 --> 00:45:28,920 Speaker 11: which was very similar to Bernie. 917 00:45:28,680 --> 00:45:33,280 Speaker 7: Made of scheme, but also the lack of regulations. 918 00:45:33,600 --> 00:45:36,360 Speaker 11: Even though you understand the space is here to stay, 919 00:45:36,400 --> 00:45:39,440 Speaker 11: you are still doing ETFs, you are you have companies 920 00:45:39,480 --> 00:45:43,799 Speaker 11: like Coinbase going IPO which are signed by everyone. Lack 921 00:45:43,840 --> 00:45:47,080 Speaker 11: of regulations from SEC is the biggest thing which hurts 922 00:45:47,160 --> 00:45:49,920 Speaker 11: and push more fear or more. 923 00:45:49,680 --> 00:45:52,240 Speaker 7: Scams around it. And I think that's where we should 924 00:45:52,239 --> 00:45:52,799 Speaker 7: focus on. 925 00:45:53,480 --> 00:45:55,000 Speaker 2: All right, Very good, Covet, I thank you so much 926 00:45:55,040 --> 00:45:58,719 Speaker 2: for joining us. Coveta Gupta, founder and managing partner of 927 00:45:58,960 --> 00:46:01,640 Speaker 2: Delta Blockchain Fund based here in New York, and joining 928 00:46:01,719 --> 00:46:04,880 Speaker 2: us via zoom and again looking at bitcoin here fifty one, 929 00:46:05,320 --> 00:46:08,520 Speaker 2: one hundred and four bitcoin and that whole heaving thing 930 00:46:08,680 --> 00:46:14,319 Speaker 2: ha lvig basically reducing the number of new bitcoins that 931 00:46:14,400 --> 00:46:16,640 Speaker 2: can be mined kind of just puts that a further 932 00:46:16,719 --> 00:46:19,640 Speaker 2: constraint on the supply. And then that's one side of 933 00:46:19,680 --> 00:46:21,480 Speaker 2: the equation. The other side of the equation, as Mike 934 00:46:21,560 --> 00:46:25,120 Speaker 2: mcloan explained it to me years ago, is presumably more 935 00:46:25,440 --> 00:46:29,520 Speaker 2: use cases for bitcoin, so fixed supply, presumably higher demand 936 00:46:29,960 --> 00:46:32,359 Speaker 2: that should push the price up. That's Mike mcloone's pitch 937 00:46:32,400 --> 00:46:33,560 Speaker 2: to me, which I could understand. 938 00:46:33,640 --> 00:46:36,400 Speaker 5: Yeah, I mean that's the kind of economics, right, you know, 939 00:46:36,520 --> 00:46:40,040 Speaker 5: he limit supply, increased demand, prices rise. When you look 940 00:46:40,080 --> 00:46:43,120 Speaker 5: at from a seasonal perspective. One thing that stands out 941 00:46:43,320 --> 00:46:46,839 Speaker 5: over last decade, best two of the three best months 942 00:46:46,840 --> 00:46:49,640 Speaker 5: out of the year April and May. But bitcoin right 943 00:46:49,640 --> 00:46:53,919 Speaker 5: now up twenty percent in February alone, YEP, absent of 944 00:46:53,960 --> 00:46:57,120 Speaker 5: which is really not as in line with big tech 945 00:46:57,239 --> 00:46:58,719 Speaker 5: as it had been historically. 946 00:47:00,040 --> 00:47:02,640 Speaker 2: Seem to see how that plays out. And the spot, 947 00:47:02,680 --> 00:47:06,000 Speaker 2: you know, having that spot ETF is big, and I 948 00:47:06,000 --> 00:47:08,200 Speaker 2: guess there were nine ETFs that think that came out. 949 00:47:09,000 --> 00:47:13,600 Speaker 2: So presumably that's expanding the base of investors in this 950 00:47:13,920 --> 00:47:17,200 Speaker 2: football since it Yeah, that's what the bulls say, so 951 00:47:17,480 --> 00:47:20,960 Speaker 2: we'll have to see. But the again, ETFs, let's do 952 00:47:21,000 --> 00:47:23,799 Speaker 2: a blockchain. Let's do it, you know, crypto ETF, and 953 00:47:23,840 --> 00:47:25,480 Speaker 2: that is perfect XBT. 954 00:47:25,800 --> 00:47:30,279 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 955 00:47:30,520 --> 00:47:33,719 Speaker 1: and anywhere else you get your podcasts. Listen live each 956 00:47:33,719 --> 00:47:37,120 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 957 00:47:37,200 --> 00:47:40,640 Speaker 1: the iHeart Radio app, tune In, and the Bloomberg Business app. 958 00:47:40,719 --> 00:47:43,840 Speaker 1: You can also watch us live every weekday on YouTube 959 00:47:43,960 --> 00:47:45,720 Speaker 1: and always on the Bloomberg terminal