1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,320 --> 00:00:09,840 Speaker 2: Carol Master along with Tim Stenovik, live here at Bloomberg 3 00:00:09,880 --> 00:00:12,000 Speaker 2: Headquarters in New York City. Well, twenty twenty six, as 4 00:00:12,039 --> 00:00:14,680 Speaker 2: you know, oft and running follows three years of double 5 00:00:14,680 --> 00:00:16,720 Speaker 2: digit gains for the S and P five hundred, a 6 00:00:16,760 --> 00:00:19,680 Speaker 2: total gain of around eighty percent over those three years. 7 00:00:19,920 --> 00:00:23,200 Speaker 2: Three years of back to back gains as well, that's 8 00:00:23,239 --> 00:00:25,280 Speaker 2: the S and P. Three years of back to back 9 00:00:25,320 --> 00:00:28,000 Speaker 2: gains also for the Nasdaq one hundred, a total gain 10 00:00:28,040 --> 00:00:30,560 Speaker 2: of about one hundred and thirty percent there. And yet 11 00:00:30,640 --> 00:00:32,839 Speaker 2: even with the stock market gains in the US in 12 00:00:32,880 --> 00:00:37,200 Speaker 2: twenty twenty five last year, measured against equities worldwide minus 13 00:00:37,240 --> 00:00:40,680 Speaker 2: the US stocks have risen around thirty percent, roughly double 14 00:00:40,800 --> 00:00:42,800 Speaker 2: the S and P five hundreds gain. That's according to 15 00:00:42,800 --> 00:00:46,240 Speaker 2: the MSCIS Index. Here to talk about twenty twenty six 16 00:00:46,320 --> 00:00:49,640 Speaker 2: the economy investment ideas. Great to have back with us 17 00:00:49,680 --> 00:00:52,080 Speaker 2: the founder, CEO and CIO of ARC invest Kathy, which 18 00:00:52,120 --> 00:00:54,200 Speaker 2: he joins us from Saint Petersburg, Florida. 19 00:00:54,280 --> 00:00:56,080 Speaker 3: Kathy, great to have you your happy new year. 20 00:00:57,320 --> 00:00:59,960 Speaker 1: Happy new year, Carol and Tim. Very happy to be 21 00:01:00,160 --> 00:01:00,600 Speaker 1: here again. 22 00:01:00,720 --> 00:01:02,120 Speaker 2: Well, it's great to have you here, And I want 23 00:01:02,120 --> 00:01:04,520 Speaker 2: to start with what stocks did here in the US 24 00:01:04,560 --> 00:01:07,240 Speaker 2: really well last year, But if you look at global stocks, 25 00:01:07,480 --> 00:01:10,240 Speaker 2: you could say that there was certainly some underperformance by 26 00:01:10,280 --> 00:01:10,880 Speaker 2: the US. 27 00:01:11,160 --> 00:01:12,479 Speaker 3: You've invested in a. 28 00:01:12,400 --> 00:01:14,840 Speaker 2: Lot of US names, but also a lot outside the US, 29 00:01:14,880 --> 00:01:18,560 Speaker 2: And I think about Chinese companies buid by Ali Baba. 30 00:01:18,720 --> 00:01:21,399 Speaker 2: Are you looking for more opportunities outside the US at 31 00:01:21,400 --> 00:01:24,039 Speaker 2: this point or And I wonder if you think it's 32 00:01:24,080 --> 00:01:25,679 Speaker 2: time for maybe US stocks a takele. 33 00:01:26,319 --> 00:01:32,800 Speaker 1: I think we're very focused on the deregulation, lower taxes 34 00:01:33,560 --> 00:01:36,440 Speaker 1: and what we believe will be lower inflation, much lower 35 00:01:36,520 --> 00:01:40,360 Speaker 1: inflation and lower interest rates in the US. And we 36 00:01:40,440 --> 00:01:44,679 Speaker 1: think the combination of those is actually going to drive 37 00:01:44,720 --> 00:01:49,640 Speaker 1: the returns on invested capital in the US up relative 38 00:01:49,880 --> 00:01:51,200 Speaker 1: to those in the rest. 39 00:01:50,960 --> 00:01:51,360 Speaker 3: Of the world. 40 00:01:51,440 --> 00:01:55,120 Speaker 1: And I think many people are underestimating, especially on the 41 00:01:55,120 --> 00:02:00,480 Speaker 1: corporate tax side, that thanks to the new depreciations schedules, 42 00:02:01,080 --> 00:02:05,720 Speaker 1: our effective corporate TEX rate not the statutory, but the 43 00:02:05,800 --> 00:02:09,240 Speaker 1: effective will drop to one of the lowest in the 44 00:02:09,280 --> 00:02:14,079 Speaker 1: world at roughly ten percent, certainly near a record low 45 00:02:14,120 --> 00:02:14,720 Speaker 1: for the US. 46 00:02:14,960 --> 00:02:17,080 Speaker 4: So do you think, Kathy, that's not priced in yet 47 00:02:17,280 --> 00:02:20,400 Speaker 4: to US equities like have investors not realized that and 48 00:02:20,480 --> 00:02:21,360 Speaker 4: therefore it's not pricing. 49 00:02:21,600 --> 00:02:26,440 Speaker 1: You know, it's very interesting. Maybe a lot of your 50 00:02:26,480 --> 00:02:33,359 Speaker 1: guests have been talking about the depreciation schedules, how massively 51 00:02:33,800 --> 00:02:37,960 Speaker 1: they are going to encourage capital investment here in the 52 00:02:38,040 --> 00:02:42,880 Speaker 1: United States. So we've never had full depreciation in year 53 00:02:43,040 --> 00:02:48,760 Speaker 1: one of manufacturing facilities, full depreciation in the first year 54 00:02:48,840 --> 00:02:54,560 Speaker 1: of service. That means corporations will get huge tax refunds 55 00:02:54,639 --> 00:02:59,880 Speaker 1: that they will be able to reinvest into innovation because 56 00:02:59,880 --> 00:03:06,640 Speaker 1: we also equipment domestic R and D and software those 57 00:03:06,720 --> 00:03:12,240 Speaker 1: three full depreciation first year of service that has been legislated. 58 00:03:12,639 --> 00:03:15,720 Speaker 1: Normally we get oh, a few years of this, you 59 00:03:15,720 --> 00:03:19,400 Speaker 1: know this cut and not cut, but that has been legislated. 60 00:03:19,520 --> 00:03:24,120 Speaker 1: Now it's all the time. So we don't think people 61 00:03:24,200 --> 00:03:27,400 Speaker 1: understand how profound some of these tax changes are. 62 00:03:28,280 --> 00:03:30,240 Speaker 2: So what does that mean for something like the AI 63 00:03:30,480 --> 00:03:33,359 Speaker 2: trade specifically, Kathy, where I think people are worried about 64 00:03:34,000 --> 00:03:35,720 Speaker 2: pockets of it with a you know, being in a 65 00:03:35,720 --> 00:03:39,880 Speaker 2: bit of a bubble. Does it benefit everyone who is 66 00:03:39,920 --> 00:03:43,040 Speaker 2: somehow associated, whether it's the chip companies, whether it's the 67 00:03:43,160 --> 00:03:45,640 Speaker 2: energy companies. Do you see the benefits playing out there 68 00:03:45,680 --> 00:03:49,080 Speaker 2: and giving it more room to move to the upside. 69 00:03:50,280 --> 00:03:55,560 Speaker 1: Absolutely absolutely. I mean we're having huge buildouts of data 70 00:03:55,640 --> 00:04:00,880 Speaker 1: centers and power facilities, all of that, all of those 71 00:04:01,320 --> 00:04:07,440 Speaker 1: depreciation schedules will apply to this boom in investment and 72 00:04:07,480 --> 00:04:12,160 Speaker 1: contribute to it. So yes, any time in fact, Carol, Yeah, yeah, 73 00:04:12,200 --> 00:04:14,160 Speaker 1: I was just going to say, many people think we're 74 00:04:14,160 --> 00:04:17,960 Speaker 1: in a bubble, and yes, the data center spending last 75 00:04:18,040 --> 00:04:21,400 Speaker 1: year was about five hundred billion dollars and you can 76 00:04:21,400 --> 00:04:23,560 Speaker 1: see all of this in our Big Ideas Report. We 77 00:04:23,720 --> 00:04:26,840 Speaker 1: just released it yesterday and thank you Bloomberg for featuring it. 78 00:04:27,279 --> 00:04:29,920 Speaker 1: But five hundred billion dollars is a two and a 79 00:04:29,920 --> 00:04:34,880 Speaker 1: half time's increase from where it had been trending for years. 80 00:04:35,680 --> 00:04:38,400 Speaker 1: So big increase, no doubt about it. But we think 81 00:04:38,520 --> 00:04:41,880 Speaker 1: that number needs to go to one point four trillion 82 00:04:42,440 --> 00:04:46,440 Speaker 1: in the next five years to accommodate the AI boom 83 00:04:47,279 --> 00:04:49,440 Speaker 1: that is now under way and is going to drive 84 00:04:49,480 --> 00:04:51,400 Speaker 1: productivity gains incredibly. 85 00:04:51,680 --> 00:04:53,040 Speaker 3: I want to get into that in just a moment. 86 00:04:53,080 --> 00:04:56,480 Speaker 2: I'm really also pequked or interested in the healthcare aspect 87 00:04:56,560 --> 00:04:57,880 Speaker 2: of it, because I feel like there's a lot going 88 00:04:57,920 --> 00:05:00,760 Speaker 2: on before we do so we also so have your 89 00:05:00,760 --> 00:05:03,919 Speaker 2: twenty twenty six outlook. And what's interesting is you note 90 00:05:03,960 --> 00:05:07,200 Speaker 2: that this is an important economic historical moment. 91 00:05:07,640 --> 00:05:08,279 Speaker 3: How so. 92 00:05:10,320 --> 00:05:15,839 Speaker 1: Well, we are in a technology revolution, and many people 93 00:05:16,040 --> 00:05:19,840 Speaker 1: thought that the Internet was a technology revolution, and to 94 00:05:19,839 --> 00:05:24,240 Speaker 1: some extent it was. But today instead of just one 95 00:05:24,360 --> 00:05:30,600 Speaker 1: major platform evolving, we have five so robotics, energy storage, AI, 96 00:05:31,080 --> 00:05:36,640 Speaker 1: blockchain technology, and multiomic sequencing in the life science space, 97 00:05:36,760 --> 00:05:41,800 Speaker 1: which which we believe is the most profound application of 98 00:05:42,000 --> 00:05:47,839 Speaker 1: AI healthcare. And so this boom. If you look back 99 00:05:47,880 --> 00:05:54,880 Speaker 1: at the railroad boom, the amount of investment that we 100 00:05:54,960 --> 00:05:58,280 Speaker 1: saw back then was about six percent of GDP at 101 00:05:58,279 --> 00:06:03,200 Speaker 1: its peak five to six percent. The Internet boom was 102 00:06:03,320 --> 00:06:06,560 Speaker 1: more like the auto boom in the early nineteen hundreds, 103 00:06:07,040 --> 00:06:10,359 Speaker 1: was more in the three to four percent of GDP range. 104 00:06:10,880 --> 00:06:19,000 Speaker 1: We believe this this five platform innovation strategy or boom, 105 00:06:20,160 --> 00:06:25,240 Speaker 1: is going to move to twelve percent of GDP, and 106 00:06:25,279 --> 00:06:30,719 Speaker 1: we do believe also that productivity growth will accelerate to 107 00:06:30,880 --> 00:06:35,120 Speaker 1: the four to six percent range and be sustained there. 108 00:06:35,160 --> 00:06:38,600 Speaker 1: Normally we see a cyclical peak around there and then 109 00:06:38,640 --> 00:06:41,840 Speaker 1: it falls back. We think it will be sustained and 110 00:06:41,880 --> 00:06:45,520 Speaker 1: we think that by the end of this decade, real 111 00:06:45,680 --> 00:06:51,080 Speaker 1: GDP growth could be averaging more than seven percent per year, 112 00:06:51,160 --> 00:06:54,200 Speaker 1: and I know that sounds shocking, given that we've been 113 00:06:54,200 --> 00:06:56,760 Speaker 1: at three percent for one hundred and twenty five years, 114 00:06:57,600 --> 00:07:01,880 Speaker 1: but it is the history associated with technology revolutions. A 115 00:07:01,920 --> 00:07:04,880 Speaker 1: step change up in GDP. 116 00:07:04,600 --> 00:07:07,720 Speaker 4: Growthw the productivity increase, the GDP growth that you are 117 00:07:07,760 --> 00:07:12,640 Speaker 4: forecasting as a result of these disruptive technologies. To what 118 00:07:12,760 --> 00:07:16,280 Speaker 4: extent is that the result of fewer people doing more? 119 00:07:16,480 --> 00:07:18,880 Speaker 4: My question is about job losses as a result of 120 00:07:18,880 --> 00:07:22,280 Speaker 4: this technology, because if everything that investors are betting on 121 00:07:22,320 --> 00:07:24,920 Speaker 4: when it comes to this AI revolution comes true, it 122 00:07:24,960 --> 00:07:27,200 Speaker 4: means that companies aren't going to need as many people 123 00:07:27,480 --> 00:07:29,320 Speaker 4: to do a lot more. What does that look like. 124 00:07:31,520 --> 00:07:36,160 Speaker 1: Well, GDP growth at seven percent plus per year tells 125 00:07:36,200 --> 00:07:39,120 Speaker 1: you there's going to be a lot of economic activity, 126 00:07:39,200 --> 00:07:44,520 Speaker 1: more economic activity from a sustained growth point of view 127 00:07:44,520 --> 00:07:47,320 Speaker 1: than we've seen in quite some time. The history of 128 00:07:47,440 --> 00:07:53,440 Speaker 1: technology is it's a net job creator. In the early nineties, 129 00:07:53,760 --> 00:07:57,600 Speaker 1: when developers were evolving the Internet, we could not have 130 00:07:57,720 --> 00:08:03,440 Speaker 1: imagined uber or B and B back then, and I 131 00:08:03,440 --> 00:08:06,240 Speaker 1: think the same as true now. We cannot imagine the 132 00:08:06,360 --> 00:08:10,520 Speaker 1: kinds of jobs that are going to exist in the future. 133 00:08:10,880 --> 00:08:13,200 Speaker 1: And the other thing that we're excited about from a 134 00:08:13,280 --> 00:08:17,840 Speaker 1: job creation point of view is we're seeing new worlds 135 00:08:17,920 --> 00:08:20,560 Speaker 1: being created. And by that I mean most of us 136 00:08:20,600 --> 00:08:26,280 Speaker 1: think about Earth, but now we're moving into space, even 137 00:08:26,400 --> 00:08:31,040 Speaker 1: data centers. We think elon leading that charge will start 138 00:08:31,080 --> 00:08:33,960 Speaker 1: moving into space and we won't have the not in 139 00:08:34,000 --> 00:08:39,440 Speaker 1: my backyard and the bureaucracy associated with data centers. There's 140 00:08:39,480 --> 00:08:44,559 Speaker 1: going to be huge job creation around the space exploration 141 00:08:44,720 --> 00:08:47,120 Speaker 1: and all of the opportunities out there. And then the 142 00:08:47,240 --> 00:08:51,480 Speaker 1: other one, and you'll find this in our Digital Assets 143 00:08:51,760 --> 00:08:57,240 Speaker 1: section of Big Ideas is the digital world immutable private 144 00:08:57,360 --> 00:09:01,680 Speaker 1: property rights. We know from economic history the best way 145 00:09:01,800 --> 00:09:07,120 Speaker 1: to lift people and countries out of poverty is with 146 00:09:07,640 --> 00:09:12,560 Speaker 1: private property rights that are immutable. Well, that is now 147 00:09:12,640 --> 00:09:16,079 Speaker 1: moving into the digital world for the first time thanks 148 00:09:16,120 --> 00:09:21,280 Speaker 1: to blockchain technology. So we're not worried about job creation, 149 00:09:21,400 --> 00:09:24,880 Speaker 1: but for those who are, because there is something happening 150 00:09:25,760 --> 00:09:31,920 Speaker 1: that I know is concerning to many people. The unemployment 151 00:09:32,040 --> 00:09:37,160 Speaker 1: rate for sixteen to twenty four year old has moved 152 00:09:37,240 --> 00:09:42,600 Speaker 1: to twelve percent. Twelve percent, big increase. And what is 153 00:09:42,640 --> 00:09:46,840 Speaker 1: that saying. That's saying that entry level jobs are not 154 00:09:46,960 --> 00:09:50,679 Speaker 1: being created the way they used to be. To those people, 155 00:09:51,160 --> 00:09:54,840 Speaker 1: I say, you know, you must have in your mind 156 00:09:55,280 --> 00:09:59,080 Speaker 1: an idea for a new business, something that frustrates you, 157 00:10:00,080 --> 00:10:02,640 Speaker 1: an unmet need. Well, now you can go to chat 158 00:10:02,760 --> 00:10:06,440 Speaker 1: chebut you can go to Grock and you can have 159 00:10:06,520 --> 00:10:09,440 Speaker 1: an assistant to help you build out that business. Just 160 00:10:09,840 --> 00:10:13,720 Speaker 1: interview for jobs, but also think about new business ideas. 161 00:10:13,800 --> 00:10:16,560 Speaker 1: I think we're going to see entrepreneurial explosion here. 162 00:10:16,720 --> 00:10:19,520 Speaker 2: Well, and you know, speaking of entrepreneurial explosion, I think about, 163 00:10:19,600 --> 00:10:22,720 Speaker 2: you know how long you have certainly been with Tesla 164 00:10:23,120 --> 00:10:24,839 Speaker 2: and a backer of Elon. 165 00:10:24,720 --> 00:10:25,480 Speaker 3: Musk a long time. 166 00:10:25,520 --> 00:10:27,559 Speaker 2: And I think about, you know when we first talked 167 00:10:27,559 --> 00:10:31,360 Speaker 2: and you likened him to mister Einstein, Albert Einstein. But 168 00:10:31,360 --> 00:10:35,560 Speaker 2: I just wonder Elin at Davos earlier today and he 169 00:10:35,640 --> 00:10:39,560 Speaker 2: talked about the Carmaker's fortunes will be increasingly dependent on 170 00:10:39,640 --> 00:10:43,040 Speaker 2: humanoid machines. Kathy, how are you modeling this, I mean 171 00:10:43,200 --> 00:10:45,640 Speaker 2: into the thesis of Tesla, and is that where the 172 00:10:45,720 --> 00:10:48,679 Speaker 2: growth is more so than EV's for Tesla going. 173 00:10:48,520 --> 00:10:51,160 Speaker 3: Forward without a doubt. 174 00:10:51,600 --> 00:10:55,120 Speaker 1: We've always said Tesla is not an auto company. It 175 00:10:55,200 --> 00:10:58,640 Speaker 1: is actually the convergence of three of the platforms I 176 00:10:58,760 --> 00:11:03,320 Speaker 1: mentioned so robotics, energy storage, and AI. Each one of 177 00:11:03,360 --> 00:11:08,559 Speaker 1: those technologies it has its own s curve, and now 178 00:11:08,600 --> 00:11:12,120 Speaker 1: they're feeding each other and we're seeing that in robotaxis. 179 00:11:13,080 --> 00:11:17,920 Speaker 1: Robotaxis we believe will account for ninety percent of Tesla's 180 00:11:18,000 --> 00:11:21,720 Speaker 1: valuation by the end of the decade. We're in print 181 00:11:21,840 --> 00:11:27,359 Speaker 1: at twenty six hundred. That includes nothing for Optimist robots, 182 00:11:27,840 --> 00:11:33,760 Speaker 1: and we're beginning to understand how quickly Tesla is moving 183 00:11:33,840 --> 00:11:37,120 Speaker 1: on that front. Why because it's the convergence of the 184 00:11:37,200 --> 00:11:44,679 Speaker 1: same three technologies, robotics, energy storage, and AI. So I 185 00:11:44,720 --> 00:11:49,679 Speaker 1: think that price target Obviously, if optimism is successful, and 186 00:11:50,360 --> 00:11:54,559 Speaker 1: we believe it will be, we think that humanoid robots 187 00:11:54,720 --> 00:12:00,280 Speaker 1: is evolving into a twenty six trillion dollar opportunity in 188 00:12:00,280 --> 00:12:04,319 Speaker 1: the home half in manufacturing plans. 189 00:12:05,040 --> 00:12:07,880 Speaker 4: We're speaking with Kathy Woods, CEO and CIO of ARC 190 00:12:07,920 --> 00:12:12,079 Speaker 4: and Vest. Kathy, you mentioned Tesla. We're talking about Tesla 191 00:12:12,400 --> 00:12:16,360 Speaker 4: the regulatory environment. Certainly, it's a less favorable regulatory environment 192 00:12:16,400 --> 00:12:20,480 Speaker 4: for Tesla than it was just a few years ago, 193 00:12:20,559 --> 00:12:23,319 Speaker 4: just two years ago, just one year ago. You also 194 00:12:23,360 --> 00:12:27,280 Speaker 4: talked about the Trump administration and the ease of regulations 195 00:12:27,280 --> 00:12:29,200 Speaker 4: that we're going to see through the Trump administration. You've 196 00:12:29,240 --> 00:12:32,079 Speaker 4: talked about that with us in the past. I'm wondering, 197 00:12:32,160 --> 00:12:35,520 Speaker 4: a year into his presidency, what do you still want 198 00:12:35,520 --> 00:12:38,000 Speaker 4: to see in terms of deregulation. What have you not 199 00:12:38,040 --> 00:12:40,679 Speaker 4: seen yet that you want to see. 200 00:12:41,040 --> 00:12:47,600 Speaker 1: Well, I think it's constant shipping away in his first administration. 201 00:12:47,840 --> 00:12:53,160 Speaker 1: I think I think President Trump said for every for 202 00:12:53,320 --> 00:12:57,400 Speaker 1: every regulation you put in place, you have to take 203 00:12:57,440 --> 00:13:02,120 Speaker 1: away too. And so it's a mindset in this administration, 204 00:13:02,280 --> 00:13:07,120 Speaker 1: and I think we have it. We're seeing amazing deregulation 205 00:13:07,400 --> 00:13:11,439 Speaker 1: in the healthcare on the healthcare front, and I don't 206 00:13:11,480 --> 00:13:17,400 Speaker 1: think many people understand that the FDA has decided that 207 00:13:17,600 --> 00:13:26,199 Speaker 1: animal testing is no longer necessary for monoclonal antibodies, and 208 00:13:26,440 --> 00:13:32,160 Speaker 1: I don't think they're as aware of how the FDA 209 00:13:32,480 --> 00:13:39,360 Speaker 1: is harnessing AI itself and encouraging the companies it regulates 210 00:13:39,800 --> 00:13:45,080 Speaker 1: to start using AI. So I think it's a mindset shift, 211 00:13:45,200 --> 00:13:47,880 Speaker 1: and I think it is happening. I think the most 212 00:13:47,920 --> 00:13:54,960 Speaker 1: profound deregulation is taking place in the energy realm, and 213 00:13:55,520 --> 00:13:59,960 Speaker 1: that's not just oil and gas and so forth. 214 00:14:00,120 --> 00:14:01,000 Speaker 3: It's nuclear. 215 00:14:02,120 --> 00:14:07,840 Speaker 1: If we in the seventies had not started regulating nuclear 216 00:14:07,920 --> 00:14:12,760 Speaker 1: the way we did and driving construction costs up. Electricity 217 00:14:12,840 --> 00:14:17,560 Speaker 1: prices today would be forty percent lower than they are, 218 00:14:18,240 --> 00:14:22,600 Speaker 1: and so we think as nuclear comes on stream that 219 00:14:22,760 --> 00:14:26,720 Speaker 1: it will serve to take some of the edge off 220 00:14:26,920 --> 00:14:31,920 Speaker 1: of the increase to electricity prices that data centers are causing. 221 00:14:32,000 --> 00:14:35,080 Speaker 2: Now, Hey, Kathy, just big broad in terms of you 222 00:14:35,120 --> 00:14:37,120 Speaker 2: know all of the different funds that you have in 223 00:14:37,160 --> 00:14:40,320 Speaker 2: the exposure. I'm just curious where you're seeing flows in 224 00:14:40,400 --> 00:14:42,480 Speaker 2: and out. We've done some reporting on this, and we 225 00:14:42,520 --> 00:14:46,080 Speaker 2: know some of your funds certainly showing some interest among investors. 226 00:14:46,080 --> 00:14:49,080 Speaker 2: But we also talked about earlier this week about some 227 00:14:49,160 --> 00:14:51,440 Speaker 2: of the withdrawals from the ARC innovation. What can you 228 00:14:51,520 --> 00:14:55,480 Speaker 2: tell us specifically when it comes to flows and performance 229 00:14:55,520 --> 00:14:56,720 Speaker 2: so far this year? 230 00:14:56,800 --> 00:14:58,840 Speaker 3: What's working? What are investors interested in? 231 00:15:00,320 --> 00:15:03,200 Speaker 1: Well, we have had a year to date. I think 232 00:15:03,360 --> 00:15:08,640 Speaker 1: our ETFs have roughly a billion dollars in inflows. Heavily 233 00:15:08,680 --> 00:15:17,480 Speaker 1: skewed to space exploration and defense for obvious reasons, and 234 00:15:17,520 --> 00:15:24,920 Speaker 1: then autonomous technology and robotics. I think that autonomous taxis 235 00:15:25,000 --> 00:15:30,120 Speaker 1: and drones very big parts of that fund as well. 236 00:15:30,560 --> 00:15:35,359 Speaker 1: And then our flagship strategy is also starting to inflow. 237 00:15:36,280 --> 00:15:40,440 Speaker 1: It had been held down by the multi omics theme. 238 00:15:40,600 --> 00:15:44,160 Speaker 1: So this is what we used to call the genomic revolution, 239 00:15:45,360 --> 00:15:49,280 Speaker 1: and it was a very difficult space even though the 240 00:15:50,280 --> 00:15:54,960 Speaker 1: even though the innovation was taking place, the investment markets 241 00:15:55,080 --> 00:15:57,880 Speaker 1: were not interested in it for a couple of reasons. 242 00:15:57,960 --> 00:16:04,400 Speaker 1: One lots of investment now necessary, therefore not very high 243 00:16:04,520 --> 00:16:12,080 Speaker 1: if any cash flows, and the cash cushions needed to 244 00:16:12,160 --> 00:16:15,840 Speaker 1: be built up. We think they've done a lot in 245 00:16:15,880 --> 00:16:20,240 Speaker 1: the last few years to become more efficient, and so 246 00:16:20,400 --> 00:16:23,200 Speaker 1: we're beginning to see outperformance from that space as well, 247 00:16:23,240 --> 00:16:26,680 Speaker 1: because now many people are beginning to understand we're seeing 248 00:16:26,840 --> 00:16:31,040 Speaker 1: cures to disease, we're seeing early diagnosis thanks to AI 249 00:16:31,400 --> 00:16:33,080 Speaker 1: and sequencing technologies. 250 00:16:33,160 --> 00:16:35,800 Speaker 2: I want to pursue this further with you at a 251 00:16:35,920 --> 00:16:37,480 Speaker 2: later date in some of the companies that are in 252 00:16:37,480 --> 00:16:39,960 Speaker 2: that just thirty seconds, though, what's your best idea. 253 00:16:39,720 --> 00:16:42,160 Speaker 3: You think for twenty twenty six at this point? 254 00:16:42,200 --> 00:16:44,280 Speaker 2: And I know there's a lot in your research, but 255 00:16:44,360 --> 00:16:46,280 Speaker 2: is there a best idea or narrative just quickly if 256 00:16:46,280 --> 00:16:49,320 Speaker 2: you could well, So, the. 257 00:16:49,240 --> 00:16:54,720 Speaker 1: Top three stocks in our flagship are Tesla. We think 258 00:16:54,760 --> 00:16:57,600 Speaker 1: it has miles to go. We do take profits from 259 00:16:57,600 --> 00:17:00,280 Speaker 1: time to time, but it could break out here in 260 00:17:00,320 --> 00:17:02,280 Speaker 1: a big way as more and more analysts do their 261 00:17:02,320 --> 00:17:08,200 Speaker 1: homework on robotaxis. Chrisper Therapeutics has moved into this second position. 262 00:17:08,760 --> 00:17:13,040 Speaker 1: That company is curing sickle cell disease and beta thalasmia 263 00:17:13,520 --> 00:17:17,600 Speaker 1: and has its eyes set on not just rare diseases, 264 00:17:18,480 --> 00:17:25,000 Speaker 1: but curing the bad cholesterol problem, especially for those who 265 00:17:25,280 --> 00:17:28,880 Speaker 1: have hereditary issues in that realm. That could be an 266 00:17:29,080 --> 00:17:32,639 Speaker 1: enormous market and I don't think anyone is doing the 267 00:17:32,680 --> 00:17:34,320 Speaker 1: modeling work there the way we are. 268 00:17:34,520 --> 00:17:36,440 Speaker 2: I love it all right. Hopefully we can check back 269 00:17:36,440 --> 00:17:38,919 Speaker 2: with you as the year plays out. Kathy, Thank you 270 00:17:38,960 --> 00:17:41,800 Speaker 2: so much, really appreciate it. Kathy would of course be 271 00:17:41,880 --> 00:17:45,959 Speaker 2: while former CEO, former founder, CEO of course, and CIO 272 00:17:46,000 --> 00:17:47,160 Speaker 2: of ARC Invest joining us