1 00:00:00,120 --> 00:00:03,000 Speaker 1: Well, it is International Women's Day and with us a recognized, 2 00:00:03,080 --> 00:00:06,480 Speaker 1: much talked about, and followed individual, well known investor who 3 00:00:06,480 --> 00:00:08,680 Speaker 1: also happens to be a woman, and safe to say, 4 00:00:08,680 --> 00:00:12,039 Speaker 1: the person who ignited the investment thesis around the innovative 5 00:00:12,080 --> 00:00:16,239 Speaker 1: and disruptive theme and economy just about ten years ago. 6 00:00:16,320 --> 00:00:18,599 Speaker 1: So let's get to our interview. Great to have back 7 00:00:18,600 --> 00:00:21,560 Speaker 1: with us. Kathy Woods. She's the founder, CEO and CIO 8 00:00:21,720 --> 00:00:25,560 Speaker 1: of ARC Investment. She joins us once again from Petersburg, Florida. 9 00:00:25,600 --> 00:00:28,400 Speaker 2: Hey, Kathy, I'm so great to be talking with you again. 10 00:00:28,440 --> 00:00:28,880 Speaker 2: How are you? 11 00:00:29,840 --> 00:00:31,440 Speaker 3: I'm great? How are you doing? Carol? 12 00:00:31,560 --> 00:00:32,040 Speaker 2: Doing well? 13 00:00:32,080 --> 00:00:33,920 Speaker 1: Trying to keep up as you know, of the newsflow 14 00:00:34,280 --> 00:00:38,120 Speaker 1: kind of fast and furious. Let's talk about the economic backdrop. 15 00:00:38,159 --> 00:00:41,320 Speaker 1: Because your roots, right when you started out, you are 16 00:00:41,360 --> 00:00:44,959 Speaker 1: an economist and you think about things the macro environment. 17 00:00:45,040 --> 00:00:49,200 Speaker 1: The jobs report today, some strength, maybe some concerns about 18 00:00:49,200 --> 00:00:52,000 Speaker 1: things starting to slow down. What does the US economic 19 00:00:52,080 --> 00:00:55,120 Speaker 1: environment look like to you, the business environment as well, 20 00:00:55,160 --> 00:00:57,720 Speaker 1: and what it means for some of your investments. 21 00:00:58,400 --> 00:01:04,600 Speaker 4: Sure like that corporations are losing pricing power and we 22 00:01:04,680 --> 00:01:08,000 Speaker 4: are now beginning to see the unemployment rate move up. 23 00:01:08,280 --> 00:01:10,319 Speaker 4: It went up to three point nine percent in this 24 00:01:10,400 --> 00:01:13,760 Speaker 4: latest report from a low of three point four percent, 25 00:01:13,840 --> 00:01:17,440 Speaker 4: So undeniably it's on its way up now, and we 26 00:01:17,480 --> 00:01:21,560 Speaker 4: do think it's because corporations are losing pricing power, their 27 00:01:21,560 --> 00:01:24,560 Speaker 4: margins are getting hit. It's going to it's going to 28 00:01:24,560 --> 00:01:27,920 Speaker 4: cause a couple of things. One, the labor hoarding that 29 00:01:27,959 --> 00:01:32,080 Speaker 4: we've seen since COVID is going to diminish, and that 30 00:01:32,120 --> 00:01:33,720 Speaker 4: will increase the unemployment rate. 31 00:01:34,240 --> 00:01:35,600 Speaker 3: But then the second. 32 00:01:35,200 --> 00:01:41,120 Speaker 4: Thing is it will accelerate the adoption of technologies. Innovation 33 00:01:41,240 --> 00:01:44,199 Speaker 4: solves problems, and one of the things that it does 34 00:01:44,319 --> 00:01:50,200 Speaker 4: is increased productivity, increase efficiency, and create new products and services. 35 00:01:50,280 --> 00:01:54,840 Speaker 4: So we're pretty optimistic about our strategy in this environment 36 00:01:54,920 --> 00:01:57,960 Speaker 4: because interest rates should come down. 37 00:01:58,080 --> 00:02:00,880 Speaker 3: I think I think that the FAT, even the FED. 38 00:02:00,720 --> 00:02:04,360 Speaker 4: Is going to be surprised at how low inflation goes. 39 00:02:04,400 --> 00:02:06,200 Speaker 4: We think it could be negative this year. 40 00:02:06,320 --> 00:02:09,680 Speaker 1: Well, so, Kathy, let me ask you. That's interesting. I mean, 41 00:02:10,040 --> 00:02:13,280 Speaker 1: if the expectations, at least according to traders right now, 42 00:02:13,320 --> 00:02:15,839 Speaker 1: is that the first rate comes in June, is that 43 00:02:16,639 --> 00:02:19,000 Speaker 1: too late in your view for the Fed to start 44 00:02:19,040 --> 00:02:20,160 Speaker 1: cutting rates. 45 00:02:20,919 --> 00:02:24,600 Speaker 4: Well, I think the twenty fourfold increase in interest rates 46 00:02:24,639 --> 00:02:27,800 Speaker 4: and little more than a year has shocked the system. 47 00:02:28,560 --> 00:02:33,360 Speaker 4: We're beginning to see a reverberation of the regional bank issues. 48 00:02:34,240 --> 00:02:37,639 Speaker 4: We don't think they are going away. Deposits are still 49 00:02:37,720 --> 00:02:43,200 Speaker 4: outflowing broadly from the banking system. And there are increasing 50 00:02:43,320 --> 00:02:46,720 Speaker 4: problems with commercial real estate. Most people know about the 51 00:02:46,800 --> 00:02:55,000 Speaker 4: office problems, but multifamily units, multifamily apartments, We're beginning to 52 00:02:55,000 --> 00:02:59,519 Speaker 4: see some distressed sales there as well. So I think 53 00:02:59,600 --> 00:03:04,639 Speaker 4: that's that problem isn't as well understood, I think, and 54 00:03:05,360 --> 00:03:08,079 Speaker 4: it's going to cause the regional banks even more problems. 55 00:03:08,280 --> 00:03:10,640 Speaker 5: Kathy, how quickly do you think unemployment can go up 56 00:03:10,680 --> 00:03:12,680 Speaker 5: this year? What are you forecasting over at ARC? 57 00:03:13,680 --> 00:03:18,000 Speaker 4: Well, I wouldn't be surprised to see the unemployed employment 58 00:03:18,080 --> 00:03:22,359 Speaker 4: rate go above five percent. Now, I'm saying that knowing 59 00:03:22,480 --> 00:03:26,840 Speaker 4: that this is an election year and that this administration 60 00:03:27,240 --> 00:03:32,400 Speaker 4: probably will try and spend more than is currently in 61 00:03:32,440 --> 00:03:37,560 Speaker 4: the budgets through executive order or what have you, But 62 00:03:38,440 --> 00:03:40,840 Speaker 4: above five percent would not surprise us. 63 00:03:43,240 --> 00:03:45,320 Speaker 1: All right, So above five percent, well, that's interesting, all right, 64 00:03:45,320 --> 00:03:48,240 Speaker 1: So we have a good idea of your economic and 65 00:03:48,320 --> 00:03:50,680 Speaker 1: kind of macro backdrop. Having said that, so here we 66 00:03:50,720 --> 00:03:52,880 Speaker 1: are sitting at a day where we're seeing a little 67 00:03:52,880 --> 00:03:54,760 Speaker 1: bit of a pullback in stocks, but you're to date 68 00:03:54,800 --> 00:03:56,680 Speaker 1: the S and P still up more than seven percent. 69 00:03:56,960 --> 00:03:58,920 Speaker 1: We're looking at a Nasdaq one hundred that's also ut 70 00:03:58,920 --> 00:04:02,320 Speaker 1: more than seven percent. You look at something like the 71 00:04:02,360 --> 00:04:04,800 Speaker 1: socks is up around twenty percent year today, picking an 72 00:04:04,800 --> 00:04:07,480 Speaker 1: individual name like an Nvidia more than eighty percent, and 73 00:04:07,520 --> 00:04:09,880 Speaker 1: I could go on and on and on. There are 74 00:04:09,880 --> 00:04:12,640 Speaker 1: many who talk about a bubble, some like in it 75 00:04:12,680 --> 00:04:15,800 Speaker 1: back to ninety nine, two thousand, anything in today's equity 76 00:04:15,840 --> 00:04:17,040 Speaker 1: trade that says bubble to you. 77 00:04:18,760 --> 00:04:21,880 Speaker 4: We do not believe we're in a bubble anything like 78 00:04:22,080 --> 00:04:24,960 Speaker 4: we were in the late nineties. I was there, and 79 00:04:25,240 --> 00:04:28,040 Speaker 4: the technologies weren't ready, The costs were too high, too 80 00:04:28,120 --> 00:04:32,280 Speaker 4: much capital chase, too few opportunities, too soon. The seeds 81 00:04:32,320 --> 00:04:36,400 Speaker 4: for what is happening now were planted during the twenty 82 00:04:36,480 --> 00:04:38,800 Speaker 4: years that ended in the tech and telecom bubble, and 83 00:04:38,800 --> 00:04:43,120 Speaker 4: they've been germinating for twenty five or thirty years. So 84 00:04:43,320 --> 00:04:47,560 Speaker 4: we believe we're ready for primetime. The one place where 85 00:04:47,640 --> 00:04:50,640 Speaker 4: we could see a correction, and it's just a correction. 86 00:04:50,720 --> 00:04:53,520 Speaker 4: We're not calling at the end of this at all. 87 00:04:54,640 --> 00:04:59,560 Speaker 4: Is in the chip space whenever I hear the word shortage, 88 00:04:59,560 --> 00:05:04,240 Speaker 4: and still started hearing about GPU shortages about this time 89 00:05:04,360 --> 00:05:10,280 Speaker 4: last year as chat GPT was capturing the imagination of 90 00:05:10,600 --> 00:05:14,640 Speaker 4: both businesses and consumers. So for about a year we've 91 00:05:14,640 --> 00:05:18,479 Speaker 4: heard that word and now we're seeing lead times we 92 00:05:18,640 --> 00:05:24,520 Speaker 4: believe come down for GPUs for nvidians in particular, from 93 00:05:24,680 --> 00:05:27,919 Speaker 4: the eight to eleven month range to the three to 94 00:05:28,000 --> 00:05:32,719 Speaker 4: four month range. So that is suggesting that there was 95 00:05:32,839 --> 00:05:36,880 Speaker 4: probably a lot of double and triple ordering as the 96 00:05:36,920 --> 00:05:40,839 Speaker 4: word shortage was making the rounds, and that those inventories 97 00:05:40,880 --> 00:05:42,200 Speaker 4: will have to be digestivele But is that. 98 00:05:42,160 --> 00:05:44,400 Speaker 1: Also because of an increase in supply in terms of 99 00:05:44,520 --> 00:05:47,240 Speaker 1: output or is it because you think demand is going down? 100 00:05:47,279 --> 00:05:49,040 Speaker 2: Which one is it? Oh? 101 00:05:49,080 --> 00:05:51,640 Speaker 4: I don't think no, No, demand is not going down, 102 00:05:51,760 --> 00:05:54,960 Speaker 4: though there is something we expect that I don't hear 103 00:05:55,040 --> 00:05:58,560 Speaker 4: discussion very much. And it harkens back to the early 104 00:05:58,640 --> 00:06:01,960 Speaker 4: days of the Internet. There was a moment when the 105 00:06:01,960 --> 00:06:05,760 Speaker 4: Internet was taking off, when Cisco was all the rage, 106 00:06:06,040 --> 00:06:12,840 Speaker 4: and then enterprises started thinking seriously about the need to 107 00:06:12,920 --> 00:06:17,080 Speaker 4: spend aggressively on this new thing called the Internet and 108 00:06:17,120 --> 00:06:22,360 Speaker 4: the backbone, and they paused as a lot of competitions 109 00:06:22,400 --> 00:06:26,400 Speaker 4: started to make the rounds, and Cisco went down fifty 110 00:06:26,440 --> 00:06:28,840 Speaker 4: percent plus as. 111 00:06:28,400 --> 00:06:29,599 Speaker 3: Enterprises were pausing. 112 00:06:30,040 --> 00:06:34,320 Speaker 4: Now, why are enterprises likely to pause or at least 113 00:06:35,080 --> 00:06:39,159 Speaker 4: go through an assessment. They have to integrate all of 114 00:06:39,200 --> 00:06:43,960 Speaker 4: their data first, proprietary data is the secret to AI's success. 115 00:06:44,640 --> 00:06:46,400 Speaker 3: And they have to map out in. 116 00:06:46,600 --> 00:06:52,960 Speaker 4: Excruciating detail their workflows internally and with suppliers and customers 117 00:06:53,000 --> 00:06:55,760 Speaker 4: and so forth. And this is going to take time. 118 00:06:56,720 --> 00:06:59,760 Speaker 4: So we think this is this movement is real, is 119 00:06:59,760 --> 00:07:04,200 Speaker 4: going to be massive, but we think there's been a 120 00:07:04,279 --> 00:07:06,440 Speaker 4: little bit too much too soon. 121 00:07:06,720 --> 00:07:09,000 Speaker 5: Well, it's interesting to hear you say that, Kathy, because 122 00:07:09,040 --> 00:07:12,720 Speaker 5: you and at ARC were very early to acknowledge the 123 00:07:12,760 --> 00:07:17,160 Speaker 5: impact of AI. Yet your flagship Ark Innovation ETF has 124 00:07:17,160 --> 00:07:21,600 Speaker 5: not held shares of Nvidia in about a year. You 125 00:07:21,640 --> 00:07:23,840 Speaker 5: do own some of it in your other ETFs. Do 126 00:07:23,840 --> 00:07:26,280 Speaker 5: you have any regrets about not having held onto the 127 00:07:26,360 --> 00:07:29,760 Speaker 5: stock or actually increasing your exposure in the last couple 128 00:07:29,800 --> 00:07:31,880 Speaker 5: of years after more than five hundred and thirty percent 129 00:07:31,960 --> 00:07:34,920 Speaker 5: gains since twenty twenty two since the end of twenty twenty. 130 00:07:34,640 --> 00:07:39,320 Speaker 4: Two, Yes, so you're right, we were very early into 131 00:07:39,560 --> 00:07:42,680 Speaker 4: Nvidia ten years ago when it was five dollars. Now 132 00:07:42,720 --> 00:07:49,000 Speaker 4: it's roughly eight hundred dollars, and we wrote it most 133 00:07:49,000 --> 00:07:50,960 Speaker 4: of the way up. But I'll tell you what we did, 134 00:07:50,960 --> 00:07:54,600 Speaker 4: and this is as a portfolio manager. It's not one action, 135 00:07:54,880 --> 00:08:01,119 Speaker 4: but what it causes in terms of another act. Last 136 00:08:01,200 --> 00:08:06,320 Speaker 4: year we sold in the flagship in Vidia and. 137 00:08:06,280 --> 00:08:07,360 Speaker 3: Put it into Coinbase. 138 00:08:08,520 --> 00:08:12,960 Speaker 4: Coinbase, I believe is up as at least as much 139 00:08:13,520 --> 00:08:19,560 Speaker 4: as in VideA, and it is much less well understood. 140 00:08:20,600 --> 00:08:22,200 Speaker 3: The whole crypto. 141 00:08:22,560 --> 00:08:25,920 Speaker 4: Movement, the crypto asset movement, Bitcoin as a new asset 142 00:08:25,960 --> 00:08:30,640 Speaker 4: class and so forth is not well understood or completely 143 00:08:30,680 --> 00:08:34,000 Speaker 4: accepted out there. So we prefer to go where others 144 00:08:34,960 --> 00:08:38,000 Speaker 4: are not traveling as much. And you know, as we 145 00:08:38,000 --> 00:08:40,800 Speaker 4: were moving out of in Video, we were saying, okay, 146 00:08:41,280 --> 00:08:45,360 Speaker 4: regulators are trying to crush coinbase here, and we were 147 00:08:45,400 --> 00:08:46,560 Speaker 4: buying it on every dip. 148 00:08:46,640 --> 00:08:49,600 Speaker 3: In Vidia happen to be one of the. 149 00:08:49,520 --> 00:08:53,720 Speaker 4: Sources for that purchase. So it's not just what we 150 00:08:53,800 --> 00:08:55,679 Speaker 4: do on the cell side, it is what we do 151 00:08:55,720 --> 00:08:59,040 Speaker 4: on the buy side that you have to look at. 152 00:09:00,000 --> 00:09:03,360 Speaker 4: And yes, we do hold it in the more specialized funds, 153 00:09:03,400 --> 00:09:06,840 Speaker 4: but we've been taking profits there as well, for reasons 154 00:09:06,880 --> 00:09:07,720 Speaker 4: I just described. 155 00:09:08,160 --> 00:09:10,160 Speaker 1: Yeah, And to be fair, you're right, Coinbase is up 156 00:09:10,160 --> 00:09:12,200 Speaker 1: about six hundred and twenty percent since the end of 157 00:09:12,240 --> 00:09:14,760 Speaker 1: twenty twenty two, so that compares with about five hundred 158 00:09:14,760 --> 00:09:17,680 Speaker 1: and thirty percent gain in nvideo. Is there anything, though, 159 00:09:17,800 --> 00:09:21,840 Speaker 1: Kathy in the Nvidio story that would make you we 160 00:09:22,080 --> 00:09:24,400 Speaker 1: think the name and want to become more aggressive on it. 161 00:09:25,640 --> 00:09:29,320 Speaker 4: Yeah, if the price came down a lot, we would 162 00:09:29,800 --> 00:09:32,800 Speaker 4: you know, the rate of return expectations or split? 163 00:09:32,920 --> 00:09:33,760 Speaker 3: Would a split do it? 164 00:09:33,760 --> 00:09:35,600 Speaker 2: Because I know we've been No, no. 165 00:09:35,679 --> 00:09:38,199 Speaker 3: No, that wouldn't change. That wouldn't change anything. 166 00:09:38,480 --> 00:09:45,040 Speaker 4: No, no, split adjusted than the price. So you know, 167 00:09:45,160 --> 00:09:48,160 Speaker 4: if you look at our portfolio, is what we're trying 168 00:09:48,200 --> 00:09:52,280 Speaker 4: to capitalize on with a palanteer for example. Are the 169 00:09:52,320 --> 00:09:57,840 Speaker 4: next stages of this AI revolution? What we're seeing in 170 00:09:57,880 --> 00:10:01,880 Speaker 4: the GPU side of things is Nvidia All praise to 171 00:10:01,960 --> 00:10:08,480 Speaker 4: Jensen one. I mean, just unbelievable company execution, vision and 172 00:10:08,559 --> 00:10:09,160 Speaker 4: so forth. 173 00:10:09,280 --> 00:10:10,600 Speaker 3: And it's not over. 174 00:10:10,760 --> 00:10:13,720 Speaker 4: It's going to last a long time, but there are 175 00:10:13,760 --> 00:10:17,760 Speaker 4: going to be many other companies benefiting from AI. The 176 00:10:17,880 --> 00:10:22,040 Speaker 4: productivity lift alone is going to be massive, the most 177 00:10:22,080 --> 00:10:26,320 Speaker 4: massive productivity lift in history. We believe, and so this 178 00:10:26,480 --> 00:10:29,520 Speaker 4: AI revolution is going to be broad based and is 179 00:10:29,559 --> 00:10:33,800 Speaker 4: going to benefit a lot of companies. On the GPU side, 180 00:10:33,840 --> 00:10:37,640 Speaker 4: of course, we have AMD as competition, but many people 181 00:10:37,679 --> 00:10:42,000 Speaker 4: do not understand that there's a lot of other surreptitious 182 00:10:42,080 --> 00:10:47,920 Speaker 4: competition evolving out there. Each of the hyperscalers is evolving 183 00:10:48,040 --> 00:10:49,440 Speaker 4: its own chip strategy. 184 00:10:49,960 --> 00:10:50,360 Speaker 3: You have a. 185 00:10:50,360 --> 00:10:56,480 Speaker 4: Tesla that has designed its own chip for AI, chip 186 00:10:56,920 --> 00:11:02,880 Speaker 4: for the specialized, more specialized autonomous driving opportunity, and I 187 00:11:02,920 --> 00:11:06,040 Speaker 4: think you're going to see a lot of companies developing 188 00:11:06,080 --> 00:11:10,800 Speaker 4: more specialized chips. We know that Nvidia, of course will 189 00:11:11,080 --> 00:11:14,600 Speaker 4: segment the market as well. So we just think that 190 00:11:15,080 --> 00:11:18,480 Speaker 4: a lot of the assumptions for Invidia, you know that 191 00:11:18,600 --> 00:11:21,800 Speaker 4: this is in Vidia's market, and it's alone that those 192 00:11:21,840 --> 00:11:22,440 Speaker 4: are changing. 193 00:11:22,600 --> 00:11:25,040 Speaker 5: Well, we're speaking with Kathy Wood if you're just joining us. 194 00:11:25,080 --> 00:11:28,280 Speaker 5: She's the founder and CEO and chief investment officer of 195 00:11:28,400 --> 00:11:31,200 Speaker 5: ARC invest. She joins us from Saint Petersburg, Florida. 196 00:11:31,400 --> 00:11:34,360 Speaker 1: So it's interesting, Kathy two to you know, right, everybody 197 00:11:34,440 --> 00:11:36,439 Speaker 1: seems to be out there making chips, and it's funny. 198 00:11:36,440 --> 00:11:40,240 Speaker 1: We had a conversation yesterday with Chris Miller, who wrote 199 00:11:40,240 --> 00:11:43,400 Speaker 1: the book Chip Wars, and we talked about TSMC that 200 00:11:43,679 --> 00:11:46,040 Speaker 1: everybody can kind of design what they want, but ultimately, 201 00:11:46,120 --> 00:11:47,960 Speaker 1: right now they've got to come back to TSMC as 202 00:11:47,960 --> 00:11:50,240 Speaker 1: the fabricator to make them. So as you say that, 203 00:11:50,280 --> 00:11:52,079 Speaker 1: I mean you guys, and one of your funds I 204 00:11:52,120 --> 00:11:56,480 Speaker 1: think late last month was selling shares of TSMC. I 205 00:11:56,559 --> 00:11:59,480 Speaker 1: am curious about then you're thinking around TSMC. There's a 206 00:11:59,480 --> 00:12:02,480 Speaker 1: story today to about TSMC winning more than five billion 207 00:12:02,520 --> 00:12:05,440 Speaker 1: in grants for their US chip plant, so money, you know, 208 00:12:05,520 --> 00:12:07,719 Speaker 1: certainly being devoted to them. 209 00:12:08,080 --> 00:12:09,559 Speaker 2: Why maybe pull. 210 00:12:09,400 --> 00:12:11,439 Speaker 1: Back a little bit on TSMC or what is your 211 00:12:11,480 --> 00:12:13,280 Speaker 1: case for TSMC in the long run. 212 00:12:14,200 --> 00:12:18,520 Speaker 4: Well, the case for TSMC is, yes, it is the 213 00:12:18,520 --> 00:12:23,880 Speaker 4: manufacturer of these merchant chips, so very big story there. 214 00:12:24,200 --> 00:12:28,880 Speaker 4: But this is simply a cyclical call and it has 215 00:12:28,920 --> 00:12:32,480 Speaker 4: to do with that word shortage and TSMC. For example, 216 00:12:32,520 --> 00:12:36,720 Speaker 4: Broadcamcom reported last night I listened to that call. In 217 00:12:36,760 --> 00:12:40,760 Speaker 4: the semiconductor solutions part of their business, they were up 218 00:12:40,760 --> 00:12:44,240 Speaker 4: only four percent, AI up thirty five percent, but everything 219 00:12:44,240 --> 00:12:50,240 Speaker 4: else down. So there there are some cyclical phenomenon out there, 220 00:12:50,280 --> 00:12:54,560 Speaker 4: phenomena out there that we think are not they're not 221 00:12:54,600 --> 00:13:02,719 Speaker 4: being integrated into the short term expectations a number of stocks. 222 00:13:02,400 --> 00:13:04,600 Speaker 2: Hey in counting including Yeah. 223 00:13:04,640 --> 00:13:06,520 Speaker 5: So, Kathy, I want to move on to Tesla because 224 00:13:06,559 --> 00:13:09,679 Speaker 5: you brought it up a moment ago. You've been a 225 00:13:09,720 --> 00:13:13,559 Speaker 5: long time bull on Tesla. You have been buying shares 226 00:13:13,600 --> 00:13:17,120 Speaker 5: recently after selling them for most of twenty twenty three, 227 00:13:17,559 --> 00:13:20,679 Speaker 5: to stock down about thirty percent so far this year. 228 00:13:20,960 --> 00:13:23,000 Speaker 5: We covered the news this week that ship beens from 229 00:13:23,000 --> 00:13:25,240 Speaker 5: Tesla shang High factory sank to the lowest and over 230 00:13:25,559 --> 00:13:28,680 Speaker 5: a year in February. The challenges facing the EV industry 231 00:13:28,880 --> 00:13:31,840 Speaker 5: have been well documented. We've talked about those a lot. 232 00:13:32,080 --> 00:13:35,320 Speaker 5: Why do you still like Tesla considering all of the 233 00:13:35,400 --> 00:13:38,079 Speaker 5: challenges in the EV space and also what many critics 234 00:13:38,120 --> 00:13:39,920 Speaker 5: would say are disappointing fundamentals. 235 00:13:41,520 --> 00:13:42,720 Speaker 3: So, yes, you're right. 236 00:13:42,760 --> 00:13:45,600 Speaker 4: We were selling last year as it was in the 237 00:13:45,679 --> 00:13:48,360 Speaker 4: three hundred to four hundred dollars range. It's back to 238 00:13:48,440 --> 00:13:52,840 Speaker 4: one seventy five. And this is what portfolio managers do. 239 00:13:52,880 --> 00:13:56,319 Speaker 4: We have a five year investment time horizon for Tesla 240 00:13:56,520 --> 00:14:00,480 Speaker 4: and our price expectations I'm here. 241 00:14:00,600 --> 00:14:03,000 Speaker 3: I mean we see roughly. 242 00:14:04,320 --> 00:14:07,880 Speaker 4: A seven to tenfold increase. I know we're in the 243 00:14:07,880 --> 00:14:12,040 Speaker 4: process of revising our model. So I'm not at liberty 244 00:14:12,080 --> 00:14:13,079 Speaker 4: to give you the new number. 245 00:14:13,160 --> 00:14:15,360 Speaker 5: But would that new number be higher or lower than 246 00:14:15,400 --> 00:14:16,359 Speaker 5: two thousand. 247 00:14:17,080 --> 00:14:18,680 Speaker 3: Well, we're pushing it out a year, and. 248 00:14:20,440 --> 00:14:24,479 Speaker 4: Therefore it will be higher because the autonomous taxi platform 249 00:14:25,040 --> 00:14:26,960 Speaker 4: opportunity will be. 250 00:14:26,880 --> 00:14:27,600 Speaker 3: In full force. 251 00:14:27,760 --> 00:14:30,560 Speaker 4: We think and we believe that Tesla will get the 252 00:14:30,640 --> 00:14:34,600 Speaker 4: lion's share of that market here in the US, if 253 00:14:34,640 --> 00:14:41,080 Speaker 4: not elsewhere. Autonomous taxi platforms are sas models. Tesla's current 254 00:14:41,240 --> 00:14:44,640 Speaker 4: gross margin is well, it's in the teens right now 255 00:14:44,680 --> 00:14:48,120 Speaker 4: because it's been cutting prices, but we think normalized the 256 00:14:48,320 --> 00:14:53,000 Speaker 4: ev margin is in the thirty percent range. Sas margins 257 00:14:53,080 --> 00:14:57,160 Speaker 4: are in the eighty percent range. Most analysts focusing on 258 00:14:57,200 --> 00:15:02,120 Speaker 4: the stock have nothing in their models little for autonomous. 259 00:15:02,360 --> 00:15:08,160 Speaker 4: Our confidence that autonomous is going to happen has increased 260 00:15:08,280 --> 00:15:11,840 Speaker 4: because it has happened. We see way most successful. We 261 00:15:11,880 --> 00:15:15,280 Speaker 4: see a lot of success and commercial success. That is 262 00:15:15,400 --> 00:15:19,200 Speaker 4: in China. It can be done. We think Tesla will 263 00:15:19,240 --> 00:15:22,920 Speaker 4: launch a national service and Tesla this is where AI 264 00:15:23,040 --> 00:15:27,360 Speaker 4: comes in. Tesla has orders of magnitude more data than 265 00:15:27,480 --> 00:15:31,640 Speaker 4: all of the other auto and tech company companies going 266 00:15:31,680 --> 00:15:36,440 Speaker 4: after this market combined. And what's important about that is 267 00:15:36,520 --> 00:15:40,040 Speaker 4: that it has corner cases that nobody else has, rare, 268 00:15:40,320 --> 00:15:47,520 Speaker 4: rare occurrences on the roads that it has recorded, and 269 00:15:47,640 --> 00:15:50,120 Speaker 4: it is prepared for it, but others aren't. 270 00:15:50,320 --> 00:15:50,560 Speaker 3: Just don't. 271 00:15:51,000 --> 00:15:52,440 Speaker 5: I just want to jump in. It's kind of like 272 00:15:52,440 --> 00:15:55,560 Speaker 5: a running joke with the Tesla community because Elon Musk 273 00:15:55,600 --> 00:15:59,080 Speaker 5: says every year we're going to have this autonomous driving 274 00:15:59,120 --> 00:16:01,920 Speaker 5: technology in every year since he started saying it, what 275 00:16:02,040 --> 00:16:06,520 Speaker 5: twenty seventeen, twenty eighteen, it has failed to materialize. Why 276 00:16:06,560 --> 00:16:07,960 Speaker 5: are you so confident it's going to happen in the 277 00:16:08,000 --> 00:16:08,560 Speaker 5: near future. 278 00:16:09,280 --> 00:16:12,680 Speaker 4: Well, because it has happened, as I just said, and 279 00:16:13,000 --> 00:16:17,360 Speaker 4: so it's not. It's not if it is when that's 280 00:16:17,440 --> 00:16:22,680 Speaker 4: the most important reason. Interestingly, in his last conference call, 281 00:16:22,760 --> 00:16:25,840 Speaker 4: Tesla's last conference call, Elon said, yeah, I know I've 282 00:16:25,880 --> 00:16:27,120 Speaker 4: been wrong about it, so I'm not. 283 00:16:27,120 --> 00:16:28,280 Speaker 3: Even going to make a projection. 284 00:16:28,400 --> 00:16:30,600 Speaker 4: I actually thought that was good and maybe I have 285 00:16:30,680 --> 00:16:33,760 Speaker 4: a better shot now. And we're looking at some of 286 00:16:33,800 --> 00:16:38,040 Speaker 4: their hiring and their job postings and seeing rumblings in 287 00:16:38,080 --> 00:16:41,120 Speaker 4: different cities that they're starting to get ready. 288 00:16:41,200 --> 00:16:43,520 Speaker 1: Hey, Kathy something, I know I've brought up this with 289 00:16:43,560 --> 00:16:45,760 Speaker 1: you before, but I think back to are you and 290 00:16:46,000 --> 00:16:48,000 Speaker 1: my first interview back in May of twenty fourteen, so 291 00:16:48,000 --> 00:16:50,600 Speaker 1: almost ten years ago. But you brought up Elon Musk 292 00:16:50,640 --> 00:16:53,560 Speaker 1: when he wasn't a household name or what his company 293 00:16:53,600 --> 00:16:56,600 Speaker 1: was doing, and you likened him to Thomas Edison. And 294 00:16:56,640 --> 00:16:58,600 Speaker 1: I guess what I want to ask you. You know 295 00:16:58,680 --> 00:17:01,240 Speaker 1: this individual, you talk with him, you followed him obviously 296 00:17:01,240 --> 00:17:01,920 Speaker 1: for a long time. 297 00:17:02,160 --> 00:17:04,600 Speaker 2: Do you ever feel, you know, do you. 298 00:17:04,560 --> 00:17:07,240 Speaker 1: Feel that way still about him in terms of likening 299 00:17:07,280 --> 00:17:09,520 Speaker 1: to someone like Thomas Edison? And how do you find 300 00:17:09,560 --> 00:17:12,439 Speaker 1: clarity and feel comfort in some of the questionable and 301 00:17:12,520 --> 00:17:16,800 Speaker 1: controversial things that that Elon comments on or that he says. 302 00:17:17,960 --> 00:17:25,399 Speaker 4: Yes, well, we we're focused on the technology and we're 303 00:17:26,560 --> 00:17:30,439 Speaker 4: as is he. He is the inventor of our age. 304 00:17:30,560 --> 00:17:34,480 Speaker 4: And this age is a very special age because the 305 00:17:34,800 --> 00:17:38,760 Speaker 4: five major innovation platforms around which we have centered our 306 00:17:38,800 --> 00:17:44,639 Speaker 4: research are converging, and three of them he is helping 307 00:17:44,680 --> 00:17:50,080 Speaker 4: to converge. This autonomous taxi platform opportunity is the convergence 308 00:17:50,119 --> 00:17:55,359 Speaker 4: of robotics. Autonomous vehicles are robots, energy storage they will 309 00:17:55,359 --> 00:17:59,560 Speaker 4: be electric right, and artificial intelligence. Where those are three 310 00:17:59,640 --> 00:18:04,720 Speaker 4: steps brit es curves feeding each other and should lead 311 00:18:04,800 --> 00:18:09,159 Speaker 4: to super exponential growth. He has understood this idea that 312 00:18:09,280 --> 00:18:13,719 Speaker 4: technologies are going to converge with one another, and that 313 00:18:13,880 --> 00:18:17,000 Speaker 4: is the way he's been thinking his first principles research. 314 00:18:17,520 --> 00:18:18,880 Speaker 3: Just because something's. 315 00:18:18,480 --> 00:18:21,360 Speaker 4: Been done one way for a very long time, think autos, 316 00:18:21,840 --> 00:18:24,159 Speaker 4: doesn't mean it's going to remain that way. 317 00:18:24,600 --> 00:18:25,760 Speaker 3: And that's why he's going to win. 318 00:18:25,880 --> 00:18:28,399 Speaker 2: Do you ever feel though that he gets distracted or 319 00:18:29,080 --> 00:18:29,960 Speaker 2: or candidate to it. 320 00:18:30,480 --> 00:18:36,280 Speaker 4: Yeah, he is so laser focused on technology and and 321 00:18:36,480 --> 00:18:40,000 Speaker 4: he in the case of Tesla, the electric vehicle side 322 00:18:40,080 --> 00:18:43,080 Speaker 4: that is on automatic pilot. They are just scaling, and 323 00:18:43,440 --> 00:18:48,400 Speaker 4: what he is doing is becoming, you know, the manufacturer 324 00:18:48,440 --> 00:18:52,280 Speaker 4: of factories. He's trying to figure out how to automate 325 00:18:52,400 --> 00:18:56,120 Speaker 4: and continue to drive down the costs there. His focus 326 00:18:56,200 --> 00:19:00,720 Speaker 4: is on autonomous now certainly, and of course you can 327 00:19:00,760 --> 00:19:03,840 Speaker 4: say on X he's distracted, but he's really more focused 328 00:19:03,880 --> 00:19:07,159 Speaker 4: on the innovation. How can I go back to the 329 00:19:07,200 --> 00:19:10,399 Speaker 4: future where I started, which was in the payments app 330 00:19:10,440 --> 00:19:15,560 Speaker 4: Space sold to PayPal. How can I turn this into 331 00:19:16,000 --> 00:19:20,000 Speaker 4: not only a payments app, but an everything app? And 332 00:19:20,080 --> 00:19:23,240 Speaker 4: I think he's hard at work doing that in ways. 333 00:19:22,920 --> 00:19:23,920 Speaker 3: That we don't know yet. 334 00:19:24,040 --> 00:19:25,600 Speaker 2: We are, of course talking with Kathy Woods. 335 00:19:25,640 --> 00:19:28,160 Speaker 1: She's the CEO, CIO and of course founder of ARC 336 00:19:28,160 --> 00:19:29,640 Speaker 1: invest joining us from Florida. 337 00:19:29,800 --> 00:19:32,600 Speaker 5: Hey, Kathy, you're talking about the future of transportation, we 338 00:19:32,680 --> 00:19:35,040 Speaker 5: got to talk about Archer Aviation. One of the most 339 00:19:35,080 --> 00:19:37,920 Speaker 5: read stories today is about the company that you've been 340 00:19:37,920 --> 00:19:41,320 Speaker 5: buying up. It's a developer of air taxis Archer Aviation. 341 00:19:41,440 --> 00:19:44,680 Speaker 5: Your stake around ten percent across several of your ETFs. 342 00:19:45,400 --> 00:19:48,560 Speaker 5: You're the third largest investor in the name. We should 343 00:19:48,600 --> 00:19:51,199 Speaker 5: note shares down roughly thirty percent so far this year. 344 00:19:51,240 --> 00:19:53,640 Speaker 5: As our own Sam Potter writes today, you are once 345 00:19:53,680 --> 00:19:55,960 Speaker 5: again on the other side of a short call made 346 00:19:56,040 --> 00:19:58,240 Speaker 5: by Grizzly Research. Last time you were in a similar 347 00:19:58,240 --> 00:20:00,840 Speaker 5: spot regarding a different name, Too Simple. You lost a 348 00:20:00,840 --> 00:20:03,560 Speaker 5: lot and eventually sold most of your position. So talk 349 00:20:03,600 --> 00:20:06,560 Speaker 5: to us about why you believe in Archer and does 350 00:20:06,600 --> 00:20:09,399 Speaker 5: it ever worry you to go against the short sellers. 351 00:20:11,720 --> 00:20:19,720 Speaker 4: So our investment process is centered around research and original research. 352 00:20:20,880 --> 00:20:25,240 Speaker 4: I'll start with Too Simple. We sold Too Simple after 353 00:20:25,960 --> 00:20:33,239 Speaker 4: the CEO who was the technology visionary, left and so 354 00:20:33,840 --> 00:20:37,120 Speaker 4: Grizzly got that right. I don't think for the right reasons. 355 00:20:37,480 --> 00:20:40,240 Speaker 4: Although we were in the teeth of a massive bear 356 00:20:40,359 --> 00:20:44,080 Speaker 4: market as well. If that CEO had not left, I 357 00:20:44,119 --> 00:20:46,480 Speaker 4: don't think we would have sold that stock. In the 358 00:20:46,520 --> 00:20:50,000 Speaker 4: case of Archer, we have a high degree of confidence 359 00:20:50,080 --> 00:20:53,320 Speaker 4: in Archer. One thing to understand about ARC is we 360 00:20:53,400 --> 00:20:56,040 Speaker 4: are the closest ARC is the closest you'll find to 361 00:20:56,080 --> 00:21:00,960 Speaker 4: a venture capital company in the public equity markets, and 362 00:21:01,320 --> 00:21:06,199 Speaker 4: we tread where others in the traditional asset management world 363 00:21:06,400 --> 00:21:09,760 Speaker 4: will not go, at least on the public side, when 364 00:21:09,840 --> 00:21:12,919 Speaker 4: we see a real opportunity. As we're doing our work 365 00:21:13,240 --> 00:21:18,600 Speaker 4: on autonomous vehicles, we concluded that the cost is going 366 00:21:18,640 --> 00:21:21,719 Speaker 4: to drop so much that roads are going to become 367 00:21:22,200 --> 00:21:25,480 Speaker 4: very congested in the future, much more congested if you 368 00:21:25,480 --> 00:21:29,400 Speaker 4: can imagine New York City, and so we then started 369 00:21:29,400 --> 00:21:34,920 Speaker 4: doing work about transportation in the skies. Is it possible, Yes, 370 00:21:34,960 --> 00:21:38,520 Speaker 4: it is possible. The FAA is the gating factor from 371 00:21:38,560 --> 00:21:42,000 Speaker 4: a regulatory point of view. There are two companies the 372 00:21:42,080 --> 00:21:45,560 Speaker 4: FAA is working very closely with, and I think because 373 00:21:45,600 --> 00:21:50,520 Speaker 4: of successes elsewhere in the world other companies are having 374 00:21:50,560 --> 00:21:54,720 Speaker 4: success where regulators have not been as strict, I think 375 00:21:54,720 --> 00:21:57,720 Speaker 4: there's been a little more pressure on the FAA to 376 00:21:57,800 --> 00:21:59,080 Speaker 4: pay close attention here. 377 00:21:59,800 --> 00:22:02,479 Speaker 3: The two are Archer and Jobi. 378 00:22:03,160 --> 00:22:08,040 Speaker 4: Our confidence went up when Boeing, which was suing it 379 00:22:08,240 --> 00:22:12,480 Speaker 4: for patent infringement, settled the case and actually took an 380 00:22:12,480 --> 00:22:19,920 Speaker 4: ownership position in Archers, as has Stilantis and United Airlines. 381 00:22:20,520 --> 00:22:25,680 Speaker 4: So three very deep pocketed partners who are also trying 382 00:22:25,680 --> 00:22:30,240 Speaker 4: to figure out the future of transportation, and we know 383 00:22:31,400 --> 00:22:35,120 Speaker 4: that they're on their way. Both Jobi and Archer two 384 00:22:35,560 --> 00:22:40,160 Speaker 4: FAA certification. Seems like the process is in motion and 385 00:22:40,600 --> 00:22:44,919 Speaker 4: we haven't had a hiccup. And it has an MoU 386 00:22:45,200 --> 00:22:48,119 Speaker 4: with Abu Dhabi to launch an air taxi service in 387 00:22:48,200 --> 00:22:53,280 Speaker 4: twenty six and pending regulation, it has an MoU with 388 00:22:53,520 --> 00:22:57,080 Speaker 4: inter Globe to launch an air taxi service in India. 389 00:22:57,200 --> 00:23:00,280 Speaker 4: Both of those have been much better for from a 390 00:23:00,400 --> 00:23:01,720 Speaker 4: regulatory point of view. 391 00:23:01,760 --> 00:23:03,360 Speaker 5: But how big of a concern is it to you 392 00:23:03,760 --> 00:23:06,280 Speaker 5: that regulators here in the US could drag their feet. 393 00:23:06,320 --> 00:23:09,520 Speaker 5: We did speak with an airline executive recently who is 394 00:23:09,640 --> 00:23:13,080 Speaker 5: concerned that the FA is moving slower than other regulatory 395 00:23:13,080 --> 00:23:14,879 Speaker 5: bodies when it comes to this type of technology. 396 00:23:15,880 --> 00:23:18,119 Speaker 4: Yes, and that is why we paid a lot of 397 00:23:18,119 --> 00:23:22,959 Speaker 4: attention to regulatory arbitrage. We've seen innovation move abroad to 398 00:23:23,040 --> 00:23:28,960 Speaker 4: other countries, even Amazon. The FAA wouldn't let Amazon fly 399 00:23:29,119 --> 00:23:33,880 Speaker 4: its drones ninth generation nearly ten years ago on its 400 00:23:33,920 --> 00:23:37,920 Speaker 4: own property outside, so it went to India and elsewhere. 401 00:23:37,960 --> 00:23:42,360 Speaker 4: I think the pressures on the FAA now. And I 402 00:23:42,440 --> 00:23:45,240 Speaker 4: also think that the bear market of twenty one and 403 00:23:45,320 --> 00:23:49,679 Speaker 4: twenty two eliminated a lot of other competition that was 404 00:23:49,720 --> 00:23:54,320 Speaker 4: brewing just the funding markets were closed. And so I 405 00:23:54,359 --> 00:24:01,359 Speaker 4: think this market is much more is that both Jobie 406 00:24:01,400 --> 00:24:03,240 Speaker 4: and Archer are going to have much more share than 407 00:24:03,359 --> 00:24:07,080 Speaker 4: otherwise would have been the case. So we're pretty excited 408 00:24:07,560 --> 00:24:09,000 Speaker 4: about the possibilities here. 409 00:24:09,160 --> 00:24:10,879 Speaker 1: Hey, Kathy, as you said, you know, one of the 410 00:24:10,960 --> 00:24:12,919 Speaker 1: things about ARC it certainly and it's the DNA, is 411 00:24:12,920 --> 00:24:15,639 Speaker 1: that you go places and take positions that other people 412 00:24:15,680 --> 00:24:18,480 Speaker 1: maybe don't do. And one of the things though that 413 00:24:18,520 --> 00:24:22,160 Speaker 1: increasingly I feel like the financial establishment again is interested 414 00:24:22,240 --> 00:24:24,200 Speaker 1: very much so is in crypto. And I want to 415 00:24:24,240 --> 00:24:26,280 Speaker 1: talk about your spot bitcoin ETF if I may the 416 00:24:26,359 --> 00:24:29,560 Speaker 1: RC twenty one shares Bitcoin ETF. What can you tell 417 00:24:29,600 --> 00:24:32,160 Speaker 1: us about institutional interest in it? 418 00:24:32,240 --> 00:24:33,320 Speaker 2: Is there or is it. 419 00:24:33,320 --> 00:24:36,800 Speaker 1: Mostly the funds that are going into it are mostly 420 00:24:36,840 --> 00:24:37,919 Speaker 1: from the retail side. 421 00:24:39,760 --> 00:24:44,960 Speaker 4: Well, we are we know there's institutional interest because we're 422 00:24:45,000 --> 00:24:48,560 Speaker 4: talking to a lot of institutions, including state treasures and 423 00:24:49,960 --> 00:24:55,040 Speaker 4: public pension funds. And why is this Because they're trying 424 00:24:55,080 --> 00:24:58,560 Speaker 4: to figure out if this truly is a new asset class, 425 00:24:58,640 --> 00:25:01,240 Speaker 4: and if it is, they must have a point of 426 00:25:01,320 --> 00:25:05,919 Speaker 4: view as a fiduciary if there's a new asset class 427 00:25:06,000 --> 00:25:10,160 Speaker 4: which is uncorrelated or shows very low correlation in terms 428 00:25:10,200 --> 00:25:15,600 Speaker 4: of returns relative to other asset classes, than what an 429 00:25:15,640 --> 00:25:20,919 Speaker 4: asset allocator does is it will take a position to 430 00:25:21,200 --> 00:25:24,560 Speaker 4: increase returns per unit of risk. That's what happens with 431 00:25:24,680 --> 00:25:28,399 Speaker 4: low correlation of returns. So definitely, now are they moving 432 00:25:28,560 --> 00:25:29,120 Speaker 4: whole hog. 433 00:25:29,240 --> 00:25:31,640 Speaker 3: Not yet. Nor are the. 434 00:25:31,680 --> 00:25:37,440 Speaker 4: Big wirehouses like the Morgan, Stanleys and Ubs as wells Fargo, 435 00:25:37,480 --> 00:25:41,480 Speaker 4: marri Lynch b of A. They are all waiting to 436 00:25:41,560 --> 00:25:45,159 Speaker 4: see who are the winners in terms of the ETFs 437 00:25:45,200 --> 00:25:48,160 Speaker 4: because they do not want to commit to an ETF 438 00:25:48,240 --> 00:25:54,160 Speaker 4: that will close down and make sense and right so 439 00:25:54,600 --> 00:25:57,280 Speaker 4: and they they they're going to give it from what 440 00:25:57,359 --> 00:26:00,640 Speaker 4: we're hearing three to six to nine months. So the 441 00:26:00,680 --> 00:26:07,639 Speaker 4: net inflows that we've seen and are away from those 442 00:26:07,760 --> 00:26:11,919 Speaker 4: two spaces, really it's part of it is our client 443 00:26:11,960 --> 00:26:17,280 Speaker 4: base switching from GPTC into and other client basis into 444 00:26:17,760 --> 00:26:20,120 Speaker 4: the ETFs, which are much lower fee. 445 00:26:20,280 --> 00:26:21,600 Speaker 1: All right, but I do want to also then go 446 00:26:21,640 --> 00:26:24,280 Speaker 1: to the next level, and that is an ether ETF 447 00:26:24,960 --> 00:26:28,040 Speaker 1: being approved maybe in May. Are you optimistic that it's 448 00:26:28,040 --> 00:26:31,040 Speaker 1: going to happen by that made deadline or what obstacles 449 00:26:31,080 --> 00:26:33,320 Speaker 1: might be still out there that it won't make that deadline? 450 00:26:34,160 --> 00:26:39,320 Speaker 4: Yeah, So the biggest obstacle is staking, and I don't 451 00:26:39,400 --> 00:26:43,600 Speaker 4: think the regulators will allow staking in this first round 452 00:26:43,640 --> 00:26:47,199 Speaker 4: if they allow the first round at all. Now, we 453 00:26:47,359 --> 00:26:52,200 Speaker 4: and one other firm are we'll see our final deadline 454 00:26:52,440 --> 00:26:57,040 Speaker 4: in May if they reject. If they reject our filings, 455 00:26:57,119 --> 00:26:58,920 Speaker 4: then we'll have to refile. 456 00:26:59,000 --> 00:27:00,000 Speaker 3: But my guess is. 457 00:27:01,680 --> 00:27:04,399 Speaker 4: My guess is they will move more now to a 458 00:27:04,440 --> 00:27:08,359 Speaker 4: first come, first serve when this next round goes through. 459 00:27:08,920 --> 00:27:12,960 Speaker 4: So if it's May, it'll be without staking. If it's later, 460 00:27:13,480 --> 00:27:19,879 Speaker 4: there's a better chance for staking. If it's in I 461 00:27:19,880 --> 00:27:24,359 Speaker 4: would say twenty twenty five, because I think legislators and 462 00:27:24,560 --> 00:27:29,320 Speaker 4: legislation is starting to get involved here and taking it 463 00:27:29,359 --> 00:27:32,960 Speaker 4: away from simply the regulators. 464 00:27:33,280 --> 00:27:35,720 Speaker 1: Hey, Kathy, I don't want to leave without asking you. 465 00:27:35,800 --> 00:27:38,600 Speaker 1: It is international Women's Day, and I think about your path. 466 00:27:39,320 --> 00:27:40,760 Speaker 1: We Tim and I have been talking a lot to 467 00:27:41,840 --> 00:27:45,159 Speaker 1: many women who have made their way in male dominated fields, 468 00:27:45,240 --> 00:27:49,480 Speaker 1: and I'm just curious how you think about your trajectory 469 00:27:49,520 --> 00:27:52,000 Speaker 1: from where you started and what you've achieved. You started 470 00:27:52,000 --> 00:27:54,439 Speaker 1: two firms or have co found one and started your 471 00:27:54,440 --> 00:27:58,600 Speaker 1: own firm, how you think about that path and what 472 00:27:58,720 --> 00:28:02,560 Speaker 1: is top of mind in terms of those other individuals 473 00:28:02,560 --> 00:28:04,080 Speaker 1: and other women that are out there that are maybe 474 00:28:04,119 --> 00:28:04,920 Speaker 1: trying to do the same. 475 00:28:06,720 --> 00:28:10,520 Speaker 4: Yes, well, I think the most important thing in early 476 00:28:10,640 --> 00:28:14,600 Speaker 4: years is to make your own bosses look brilliant because 477 00:28:14,960 --> 00:28:19,560 Speaker 4: younger people, younger people coming into the business know so 478 00:28:19,720 --> 00:28:23,240 Speaker 4: much more about technology and where the world is going 479 00:28:23,640 --> 00:28:28,480 Speaker 4: almost innately then shall I say, more seasoned investors. So 480 00:28:28,640 --> 00:28:32,920 Speaker 4: just make your bosses look brilliant and educate them and 481 00:28:33,160 --> 00:28:39,400 Speaker 4: you know, generate enthusiasm, enthusiasm, excitement, energy around around ideas 482 00:28:40,280 --> 00:28:42,600 Speaker 4: and make sure you have good mentors. 483 00:28:42,600 --> 00:28:44,040 Speaker 3: If they're not giving you a good shot. 484 00:28:44,160 --> 00:28:47,000 Speaker 4: After you've made them look brilliant, you know, time to 485 00:28:47,080 --> 00:28:50,680 Speaker 4: move on. So that's one thing. As far as starting 486 00:28:51,520 --> 00:28:55,760 Speaker 4: a business, I would say, make sure there's an unmet 487 00:28:55,800 --> 00:28:59,480 Speaker 4: need in our case, in the case of ARC. What 488 00:28:59,520 --> 00:29:03,560 Speaker 4: we saw was the traditional world going more passive or 489 00:29:03,600 --> 00:29:09,600 Speaker 4: benchmark sensitive, when we saw an explosion of innovation thanks 490 00:29:09,640 --> 00:29:13,040 Speaker 4: to the five major innovation platforms around which we have 491 00:29:13,120 --> 00:29:17,400 Speaker 4: centered our research and investing. And so I said to myself, 492 00:29:17,840 --> 00:29:22,280 Speaker 4: you know, someone has to do this, and so we 493 00:29:22,360 --> 00:29:25,200 Speaker 4: went off, and honestly, I think most people thought we 494 00:29:25,240 --> 00:29:28,560 Speaker 4: would fail for a couple of reasons. One, we put 495 00:29:28,600 --> 00:29:34,240 Speaker 4: a truly active, fully transparent equity portfolio inside an ETF 496 00:29:34,280 --> 00:29:37,400 Speaker 4: wrapper and that had not been done at scale at all, 497 00:29:38,080 --> 00:29:41,640 Speaker 4: and no one it was a passive world that we 498 00:29:41,720 --> 00:29:46,080 Speaker 4: had entered. And then the second was we're benchmark agnostic. 499 00:29:47,320 --> 00:29:50,400 Speaker 4: You can put us against any benchmark, and you're going 500 00:29:50,480 --> 00:29:53,680 Speaker 4: to have to give us some time after the massive 501 00:29:53,800 --> 00:29:56,640 Speaker 4: interest rate shock that we went through and now we're 502 00:29:56,720 --> 00:30:00,280 Speaker 4: on the other side and you know, performing better as 503 00:30:00,280 --> 00:30:04,280 Speaker 4: a result over the last year. But over time, these 504 00:30:04,920 --> 00:30:08,960 Speaker 4: innovations are going to transform the world and create massive 505 00:30:09,400 --> 00:30:15,600 Speaker 4: wealth with ai ASA back to that topic as the 506 00:30:15,680 --> 00:30:19,400 Speaker 4: main catalyst, so we could be more optimistic about innovation. 507 00:30:19,760 --> 00:30:20,840 Speaker 2: All right, Gonda, leave it there. 508 00:30:20,920 --> 00:30:23,440 Speaker 1: Kathy as always so appreciate all the time that you 509 00:30:23,520 --> 00:30:24,080 Speaker 1: do give us. 510 00:30:24,120 --> 00:30:24,880 Speaker 2: Have a great weekend. 511 00:30:24,960 --> 00:30:28,160 Speaker 1: Kathy would of course, the founder, CEO, and CIO of 512 00:30:28,200 --> 00:30:30,120 Speaker 1: oar Co Invest, joining us from Florida. 513 00:30:30,200 --> 00:30:30,800 Speaker 2: Kathy, thank you