1 00:00:02,520 --> 00:00:07,920 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, the. 2 00:00:07,960 --> 00:00:10,920 Speaker 2: ARC and Vest CEO Kathy would one of Tensela's biggest bulls, 3 00:00:10,920 --> 00:00:13,880 Speaker 2: the ev Maaker, the top holding in her flagship Art 4 00:00:13,960 --> 00:00:17,040 Speaker 2: Innovation ETF, has this to say, I do not understand 5 00:00:17,040 --> 00:00:19,520 Speaker 2: why Vest is a voting against Elon's pay package when 6 00:00:19,560 --> 00:00:22,400 Speaker 2: they and their clients would benefit enormously if he and 7 00:00:22,480 --> 00:00:25,560 Speaker 2: his incredible team meet such high goals. Kathy joint us 8 00:00:25,560 --> 00:00:27,120 Speaker 2: Now for more, Kathy, thanks for making some time for 9 00:00:27,160 --> 00:00:29,800 Speaker 2: us this morning. Good morning to you all. Do you think, Kathy, 10 00:00:29,840 --> 00:00:31,720 Speaker 2: the incentives are well aligned? 11 00:00:33,680 --> 00:00:38,920 Speaker 1: Yes, we do. I do not believe any company anywhere 12 00:00:38,960 --> 00:00:45,040 Speaker 1: near this size has ever delivered a compound annual rate 13 00:00:45,280 --> 00:00:48,920 Speaker 1: of growth for ebit dot, which is a bottom line 14 00:00:49,000 --> 00:00:53,760 Speaker 1: number of forty one percent over ten years. No company 15 00:00:53,760 --> 00:00:57,200 Speaker 1: has done that. So yes, indeed the incentives are aligned. 16 00:00:57,280 --> 00:01:01,240 Speaker 1: If he and his team are able to deliver on 17 00:01:01,280 --> 00:01:05,880 Speaker 1: that number, the stock is going to outperform enormously. 18 00:01:06,480 --> 00:01:10,880 Speaker 3: Kathy, If by chance this proposal is rejected, would you 19 00:01:10,920 --> 00:01:12,759 Speaker 3: consider shedding some of your TESLA position. 20 00:01:15,319 --> 00:01:19,680 Speaker 1: So I'm happy that the prediction markets are at ninety 21 00:01:19,800 --> 00:01:22,479 Speaker 1: to ninety five percent in terms of this is going 22 00:01:22,520 --> 00:01:26,280 Speaker 1: through so we don't have to think about that clearly. 23 00:01:26,319 --> 00:01:30,480 Speaker 1: If Elon left, we think about it in two ways. One, 24 00:01:30,600 --> 00:01:35,720 Speaker 1: we think robotaxis, he has them at the starting gate 25 00:01:35,760 --> 00:01:39,440 Speaker 1: as of June, and now they're rolling out, and that 26 00:01:39,640 --> 00:01:44,800 Speaker 1: AI project is well underway. If he had left five 27 00:01:44,880 --> 00:01:48,320 Speaker 1: years ago, three years ago, it probably wouldn't be anywhere 28 00:01:48,360 --> 00:01:52,280 Speaker 1: near where it is. What we now think, though, is 29 00:01:52,320 --> 00:01:56,640 Speaker 1: in order to capitalize on humanoid robots, which that's a 30 00:01:56,760 --> 00:02:03,040 Speaker 1: much more difficult project. Yes, Elon's brilliance and the team 31 00:02:03,200 --> 00:02:07,920 Speaker 1: he has attracted around him are going to be necessary 32 00:02:08,040 --> 00:02:11,320 Speaker 1: to pull that off. Our price target twenty six hundred 33 00:02:11,680 --> 00:02:16,680 Speaker 1: dollars in twenty thirty is ninety percent of that valuation 34 00:02:16,960 --> 00:02:21,240 Speaker 1: is ROBOTAXI. We have very little for humanoid robots. If 35 00:02:21,320 --> 00:02:27,520 Speaker 1: humanoid robots evolve as quickly as Elon things. Now, remember 36 00:02:27,600 --> 00:02:30,840 Speaker 1: that's Elon time, but he already has a running start 37 00:02:30,960 --> 00:02:37,519 Speaker 1: because robotaxis are robots, they're electric, they're powered by AI. 38 00:02:37,880 --> 00:02:41,400 Speaker 1: Those are the three innovation platforms that will power humanoid 39 00:02:41,480 --> 00:02:44,040 Speaker 1: robots as well. So he's ahead of the game on 40 00:02:44,040 --> 00:02:46,480 Speaker 1: that one as well. But I do believe he's the 41 00:02:46,560 --> 00:02:49,400 Speaker 1: right leader to bring that part of the story to 42 00:02:49,480 --> 00:02:50,079 Speaker 1: life as well. 43 00:02:50,160 --> 00:02:51,800 Speaker 2: Kathy, I've got to watcher this though. To follow up 44 00:02:51,800 --> 00:02:55,040 Speaker 2: on Lisa's question, if you wouldn't sell if he wasn't CEO, 45 00:02:55,919 --> 00:02:57,840 Speaker 2: then why should we pay him that much to be 46 00:02:57,919 --> 00:02:58,400 Speaker 2: the CEO. 47 00:03:00,800 --> 00:03:05,280 Speaker 1: What I'm saying is we would feel comfortable with the 48 00:03:06,000 --> 00:03:09,560 Speaker 1: ROBOTEXI part of the model, but we would not be 49 00:03:09,600 --> 00:03:13,880 Speaker 1: able to build with confidence the humanoid robot part of 50 00:03:14,040 --> 00:03:18,520 Speaker 1: the model. So over time, of course, as the story 51 00:03:18,880 --> 00:03:22,440 Speaker 1: would depend more and more on that leg of the story, 52 00:03:22,680 --> 00:03:24,360 Speaker 1: we would be taking our position down. 53 00:03:24,639 --> 00:03:27,720 Speaker 3: You talked earlier, Kathy, in the past couple of days 54 00:03:27,880 --> 00:03:30,800 Speaker 3: about this reality check that's going on in the tech sector, 55 00:03:31,320 --> 00:03:33,960 Speaker 3: and I understand that Tesla is sort of in its 56 00:03:34,040 --> 00:03:36,760 Speaker 3: own place that you do hold them for the long term. 57 00:03:37,240 --> 00:03:39,800 Speaker 3: How do you understand the reality check that's currently going 58 00:03:39,920 --> 00:03:42,840 Speaker 3: on within a lot of the biggest tech stocks, and 59 00:03:42,880 --> 00:03:45,320 Speaker 3: this sense of skepticism about whether they can keep growing 60 00:03:45,360 --> 00:03:48,800 Speaker 3: at that rate versus the long term bullish bet. 61 00:03:50,600 --> 00:03:53,560 Speaker 1: You know, I'm really happy that there is so much 62 00:03:53,600 --> 00:03:56,840 Speaker 1: skepticism out there. Anyone who went through the late nineties 63 00:03:57,720 --> 00:04:01,760 Speaker 1: will remember there was no skepticism, and we had valuations 64 00:04:02,200 --> 00:04:06,120 Speaker 1: based on the number of eyeballs on a website maybe 65 00:04:06,200 --> 00:04:11,200 Speaker 1: ten years from then. We're not seeing that right now. 66 00:04:11,240 --> 00:04:14,640 Speaker 1: We are seeing Wait a minute, they're spending a lot 67 00:04:14,640 --> 00:04:19,000 Speaker 1: of money on these data centers. This is a little 68 00:04:19,000 --> 00:04:22,359 Speaker 1: bit of a different story than I was investing in, 69 00:04:22,440 --> 00:04:25,280 Speaker 1: certainly in terms of when I say I the average 70 00:04:25,320 --> 00:04:29,400 Speaker 1: investor was investing in with the mag six, those were 71 00:04:29,520 --> 00:04:36,880 Speaker 1: just cash cows and had huge cash positions. Something's changing here. 72 00:04:37,040 --> 00:04:43,600 Speaker 1: It's making the typical investor a little more I'll say skeptical. 73 00:04:44,360 --> 00:04:47,760 Speaker 1: This is not just the cash register ringing anymore. This 74 00:04:47,920 --> 00:04:50,960 Speaker 1: is wait, a big bet on the future. So I'm 75 00:04:50,960 --> 00:04:53,120 Speaker 1: happy there's skepticism. I think it's a good thing. 76 00:04:53,360 --> 00:04:55,560 Speaker 3: Are you buying right now? Are you seeing a skepticism 77 00:04:55,560 --> 00:04:58,000 Speaker 3: as a chance to build some of your portfolio? 78 00:04:59,200 --> 00:04:59,479 Speaker 2: Oh? 79 00:04:59,520 --> 00:05:04,920 Speaker 1: Sure, you know. And probably the most undervalued part of 80 00:05:04,960 --> 00:05:09,160 Speaker 1: our portfolios is in life sciences healthcare, because we think 81 00:05:09,680 --> 00:05:14,120 Speaker 1: that is going to present the most profound application of 82 00:05:14,720 --> 00:05:19,320 Speaker 1: AI out there, and yet it is highly underappreciated because 83 00:05:19,920 --> 00:05:22,680 Speaker 1: you know, healthcare analysts aren't comfortable with tech, and tech 84 00:05:22,680 --> 00:05:26,120 Speaker 1: analysts aren't comfortable with healthcare, and you know, we've got 85 00:05:26,120 --> 00:05:29,080 Speaker 1: a very siloed ecosystem in terms of the way research 86 00:05:29,160 --> 00:05:33,400 Speaker 1: is done at ARC. We're very focused on the technologies 87 00:05:33,440 --> 00:05:36,120 Speaker 1: first and how they're going to scale across sector. So 88 00:05:36,160 --> 00:05:39,960 Speaker 1: our analysts are organized by technology and we think there's 89 00:05:39,960 --> 00:05:41,279 Speaker 1: a huge inefficiency there. 90 00:05:41,480 --> 00:05:43,520 Speaker 2: Kathy, thanks for being so generous with your time this morning. 91 00:05:43,560 --> 00:05:46,120 Speaker 2: We appreciate it. Counthy, with that the unconvested CEO only 92 00:05:46,200 --> 00:05:47,880 Speaker 2: on mask of Tesla, and a whole lot more