1 00:00:00,240 --> 00:00:03,800 Speaker 1: All right, well, some guests need no introduction and joining 2 00:00:03,840 --> 00:00:08,160 Speaker 1: us right now on Bloomberg Radio and also on Bloomberg Television. 3 00:00:08,520 --> 00:00:10,080 Speaker 2: We're delighted to have back with us. 4 00:00:10,440 --> 00:00:14,600 Speaker 1: Of course our convest founder, CEO and CIO, Kathy would 5 00:00:14,800 --> 00:00:16,639 Speaker 1: we wanted to actually talk to her because there's so 6 00:00:16,720 --> 00:00:19,320 Speaker 1: much going on, certainly this week, whether it's today when 7 00:00:19,320 --> 00:00:22,239 Speaker 1: it comes to the jobs report, but it's also what's 8 00:00:22,280 --> 00:00:25,919 Speaker 1: been going on with open AI. So looking forward to 9 00:00:25,920 --> 00:00:29,040 Speaker 1: just bringing her in and welcoming her, I should say, 10 00:00:29,320 --> 00:00:32,680 Speaker 1: on Bloomberg Radio, but also on Bloomberg Television. All right, 11 00:00:32,760 --> 00:00:35,720 Speaker 1: let's get to Kathy Wood joining us. Kathy, great to 12 00:00:35,720 --> 00:00:36,479 Speaker 1: have you here with us. 13 00:00:36,479 --> 00:00:40,000 Speaker 2: How are you. I'm great, Carol, thank you so much 14 00:00:40,040 --> 00:00:41,879 Speaker 2: for inviting me. Well, it's good to have you here. 15 00:00:41,920 --> 00:00:43,880 Speaker 1: There is a lot going on, and we were saying, 16 00:00:44,360 --> 00:00:46,559 Speaker 1: obviously we want to kind of start macro, which we 17 00:00:46,640 --> 00:00:50,040 Speaker 1: often do with you. And first up the upbeat labor market, 18 00:00:50,120 --> 00:00:52,880 Speaker 1: the Fed finally now cutting interest rates. You've been beating 19 00:00:52,920 --> 00:00:56,200 Speaker 1: the drum for some time about the Fed to cut rates. 20 00:00:56,520 --> 00:00:59,360 Speaker 1: At the same time, we had Treasury Secretary former Treasury 21 00:00:59,360 --> 00:01:02,880 Speaker 1: Secretary Loarry Summers out saying the half a point cut 22 00:01:02,920 --> 00:01:07,080 Speaker 1: was a mistake. Stanley Druckenmailer, the hedge fund billionaire. He 23 00:01:07,200 --> 00:01:09,600 Speaker 1: believes the FED shin of cut rates at the most 24 00:01:10,200 --> 00:01:12,920 Speaker 1: most recent meeting. He thinks that the Central Bank has 25 00:01:12,959 --> 00:01:16,200 Speaker 1: boxed itself into a corner by guiding for even more 26 00:01:16,400 --> 00:01:18,680 Speaker 1: rate cuts ahead. Do you think the FED rate cut 27 00:01:18,760 --> 00:01:19,320 Speaker 1: was a mistake. 28 00:01:20,840 --> 00:01:25,760 Speaker 2: Absolutely not, not at all. It's been very interesting to 29 00:01:25,840 --> 00:01:31,000 Speaker 2: watch the revisions in economic activity. Until this report, their 30 00:01:31,080 --> 00:01:34,360 Speaker 2: revisions in the employment numbers had been down, and they 31 00:01:34,400 --> 00:01:39,959 Speaker 2: were much weaker than had originally been reported. You know, 32 00:01:40,040 --> 00:01:44,319 Speaker 2: we look at earnings reports and look at their revenues, 33 00:01:44,400 --> 00:01:48,920 Speaker 2: and we're seeing a lot of companies showing negative revenues. 34 00:01:48,960 --> 00:01:54,480 Speaker 2: So you know, the headline numbers are heavily influenced recently, 35 00:01:55,080 --> 00:01:58,560 Speaker 2: certainly in terms of some of the upward revisions in 36 00:01:58,720 --> 00:02:05,080 Speaker 2: personal income by transfer payments. That's government stimulus and interestingly dividends. 37 00:02:05,120 --> 00:02:09,240 Speaker 2: But if you look at the economy, the cyclical part 38 00:02:09,320 --> 00:02:12,920 Speaker 2: of the economy is sick. It's sick. If you look 39 00:02:13,120 --> 00:02:16,760 Speaker 2: at the sectors in the economy, one by one, they've 40 00:02:16,800 --> 00:02:19,280 Speaker 2: been falling into a recession no matter what the headline 41 00:02:19,360 --> 00:02:24,280 Speaker 2: numbers say. Housing went down immediately when the Fed started 42 00:02:24,400 --> 00:02:28,600 Speaker 2: raising rates. We're down twenty to forty percent. Still, that's 43 00:02:28,639 --> 00:02:34,280 Speaker 2: a recession. You've got non residential construction in recession autos. 44 00:02:34,280 --> 00:02:36,520 Speaker 3: Very week, Kathy. I know it's a backward looking number, 45 00:02:36,520 --> 00:02:38,880 Speaker 3: But then what do you make of today's payrolls report 46 00:02:38,919 --> 00:02:41,080 Speaker 3: two hudred and fifty four thousand jobs added to the 47 00:02:41,120 --> 00:02:44,320 Speaker 3: economy for the month of September. Now, it doesn't sat 48 00:02:44,400 --> 00:02:47,559 Speaker 3: seem recessionary. 49 00:02:47,760 --> 00:02:50,880 Speaker 2: So if you just let me finish him, I'll get 50 00:02:50,960 --> 00:02:55,000 Speaker 2: to that in one minute. So we've got those sectors, 51 00:02:55,040 --> 00:02:59,080 Speaker 2: and then you've got the small and medium business sector. 52 00:03:00,240 --> 00:03:04,399 Speaker 2: Their confidence is at eight to nine levels. And we've 53 00:03:04,440 --> 00:03:09,560 Speaker 2: got certain pricing measures, certainly the cyclical ones that have 54 00:03:09,720 --> 00:03:14,799 Speaker 2: been deflationary. Actually, so one thing that I do think 55 00:03:14,919 --> 00:03:18,200 Speaker 2: is going on that is helping is as prices are 56 00:03:18,240 --> 00:03:21,560 Speaker 2: coming down and the consumers getting better and better deals 57 00:03:22,240 --> 00:03:27,520 Speaker 2: and they're spending, So I think that is sustaining. You 58 00:03:27,560 --> 00:03:31,040 Speaker 2: know a lot of people say real growth causes inflation. 59 00:03:31,680 --> 00:03:36,080 Speaker 2: In this case, and actually in history most times, if 60 00:03:36,120 --> 00:03:41,080 Speaker 2: you cut prices, you'll get more activity the consumer as 61 00:03:41,120 --> 00:03:44,960 Speaker 2: long as the labor market hangs in here, and yes, 62 00:03:45,080 --> 00:03:48,680 Speaker 2: today was very reassuring that way, as long as the 63 00:03:48,760 --> 00:03:55,160 Speaker 2: labor market hangs in here and companies like Walmart and 64 00:03:55,280 --> 00:04:01,160 Speaker 2: Costco and auto companies either increase their discounts or cut 65 00:04:01,200 --> 00:04:04,720 Speaker 2: their prices, I think the activity will come and the 66 00:04:04,800 --> 00:04:08,040 Speaker 2: labor market will continue to hang in, but if they 67 00:04:08,120 --> 00:04:11,119 Speaker 2: try and jack prices back up. It was very interesting 68 00:04:11,160 --> 00:04:16,360 Speaker 2: to see FedEx, after turning positive in revenues and then 69 00:04:16,440 --> 00:04:20,839 Speaker 2: turning negative year over year on revenues, basically saying they're 70 00:04:20,839 --> 00:04:23,560 Speaker 2: going to use prices to make it up. I think 71 00:04:23,600 --> 00:04:27,400 Speaker 2: that's going to backfire, and I'll think I think during 72 00:04:27,440 --> 00:04:30,720 Speaker 2: the next year you'll under that many people will understand 73 00:04:31,240 --> 00:04:35,560 Speaker 2: how deflationary the undercurrents are in the economy. Now, deflation 74 00:04:35,720 --> 00:04:40,159 Speaker 2: is not always bad. Part of it is because of innovation, 75 00:04:40,800 --> 00:04:44,960 Speaker 2: technologically enabled innovation. The car prices EV prices are coming down, 76 00:04:45,160 --> 00:04:50,760 Speaker 2: their costs are coming down too. So I think there's 77 00:04:50,800 --> 00:04:53,520 Speaker 2: a lot of confusion in terms of what's going on 78 00:04:53,760 --> 00:04:58,920 Speaker 2: out there because productivity is stronger than expected, giving companies 79 00:04:58,960 --> 00:05:03,600 Speaker 2: the latitude to cut prices and salvage margins, so that 80 00:05:03,880 --> 00:05:05,000 Speaker 2: if that sustains. 81 00:05:05,320 --> 00:05:08,200 Speaker 1: Great Kathy, when we talked with you earlier this year, 82 00:05:08,279 --> 00:05:09,960 Speaker 1: let's go back to March for a moment. You mentioned 83 00:05:09,960 --> 00:05:12,760 Speaker 1: the possibility of inflation going negative this year. You also 84 00:05:12,760 --> 00:05:15,360 Speaker 1: talked about unemployment going above five percent. Are those still 85 00:05:15,400 --> 00:05:16,280 Speaker 1: your calls? 86 00:05:16,839 --> 00:05:20,560 Speaker 2: Yeah, we would this year. I mean, we're going to 87 00:05:20,600 --> 00:05:24,880 Speaker 2: have to push it out because inflation did levitate as 88 00:05:24,920 --> 00:05:28,840 Speaker 2: companies tried to price to make up for shortfalls and 89 00:05:29,000 --> 00:05:31,560 Speaker 2: unit growth. It levitated in the three and a half 90 00:05:31,600 --> 00:05:35,839 Speaker 2: to four percent range. Now it's broken below three and 91 00:05:36,600 --> 00:05:40,000 Speaker 2: we're hearing more and more companies, you know, basically trying 92 00:05:40,040 --> 00:05:43,720 Speaker 2: to attract consumer attention with lower prices. So yes, if 93 00:05:43,760 --> 00:05:47,320 Speaker 2: you look at money growth on a year over year basis, 94 00:05:47,720 --> 00:05:50,720 Speaker 2: it was negative for I think about a year and 95 00:05:50,760 --> 00:05:55,760 Speaker 2: a half. Maybe more money is a leading indicator for inflation, 96 00:05:55,960 --> 00:05:59,799 Speaker 2: and we do believe that inflation will go much lower 97 00:05:59,800 --> 00:06:03,599 Speaker 2: than people expect right now. Wouldn't be surprised to see 98 00:06:03,640 --> 00:06:10,839 Speaker 2: it go negative, especially especially if the consumer is worried 99 00:06:11,080 --> 00:06:16,200 Speaker 2: about job loss, whether because of AI and automation generally 100 00:06:17,440 --> 00:06:19,919 Speaker 2: or what have you. So the saving rate tends to 101 00:06:19,960 --> 00:06:23,800 Speaker 2: go up during those periods, and that will mean we 102 00:06:23,920 --> 00:06:26,960 Speaker 2: believe that companies will have to price even more aggressively. 103 00:06:27,400 --> 00:06:32,640 Speaker 2: In terms of over five percent unemployment rate, we could 104 00:06:32,720 --> 00:06:35,680 Speaker 2: see it. We could see it. I will say today 105 00:06:37,040 --> 00:06:41,520 Speaker 2: gave me pause in terms of this productivity dynamic and 106 00:06:41,640 --> 00:06:45,280 Speaker 2: sort of the Okay, companies may not if they get 107 00:06:45,279 --> 00:06:49,440 Speaker 2: the productivity growth from existing employees, they may not feel 108 00:06:49,440 --> 00:06:54,520 Speaker 2: like laying them off. They can lower prices to keep 109 00:06:54,839 --> 00:06:56,120 Speaker 2: consumer demand going. 110 00:06:56,240 --> 00:07:00,640 Speaker 3: Hey, Kathy, Election Front Center. We're just month and change 111 00:07:00,680 --> 00:07:03,440 Speaker 3: out from the election here in the US, and I'm 112 00:07:03,440 --> 00:07:06,640 Speaker 3: wondering how this dynamic, in your view changes whether President 113 00:07:06,680 --> 00:07:09,560 Speaker 3: Trump is re elected or we see a Harris administration. 114 00:07:10,000 --> 00:07:12,840 Speaker 1: And I wonder who you would support to in terms 115 00:07:12,880 --> 00:07:15,720 Speaker 1: of what you think is good for the US economy 116 00:07:16,040 --> 00:07:17,880 Speaker 1: and America. 117 00:07:19,400 --> 00:07:23,880 Speaker 2: Okay, So our focus is on innovation, and something very 118 00:07:23,920 --> 00:07:29,520 Speaker 2: important happened this past year. We were very concerned that 119 00:07:29,720 --> 00:07:35,640 Speaker 2: excessive regulation was driving innovation off our shores, particularly when 120 00:07:35,640 --> 00:07:40,280 Speaker 2: it came to crypto or digital assets. We've had a 121 00:07:40,440 --> 00:07:45,200 Speaker 2: very hostile regulator, and the same I would say is 122 00:07:45,240 --> 00:07:51,000 Speaker 2: true of the FTC in terms of denying M and A, 123 00:07:51,240 --> 00:07:56,520 Speaker 2: because that has prevented a lot of innovative companies from 124 00:07:56,800 --> 00:08:01,400 Speaker 2: enjoying liquidity events by selling out to bigger companies. I 125 00:08:01,440 --> 00:08:07,240 Speaker 2: think we're hearing from both both candidates that those two 126 00:08:07,320 --> 00:08:10,720 Speaker 2: jobs are on the line maybe for that reason, and 127 00:08:11,040 --> 00:08:17,440 Speaker 2: we're seeing more alignment that innovation solves problems and so 128 00:08:17,520 --> 00:08:20,360 Speaker 2: we should not discourage it. So from that point of view, 129 00:08:22,040 --> 00:08:25,840 Speaker 2: you know, I'm happy to see the bipartisan movement here. 130 00:08:27,040 --> 00:08:30,600 Speaker 2: You know, we'll favor lower regulations every day when it 131 00:08:30,680 --> 00:08:35,079 Speaker 2: comes to innovation. I don't think tariffs are a great 132 00:08:35,880 --> 00:08:41,760 Speaker 2: a great thing at all for innovation and for economic activity. 133 00:08:42,480 --> 00:08:46,560 Speaker 2: So there's something on both sides that will give us pause. 134 00:08:46,720 --> 00:08:51,560 Speaker 2: But the most important thing is the biggest impedience to innovation. 135 00:08:51,760 --> 00:08:55,920 Speaker 2: We think that that we're developing clarity around what's going 136 00:08:55,960 --> 00:08:59,800 Speaker 2: to happen at the SEC and the FTC. 137 00:09:00,960 --> 00:09:03,800 Speaker 1: So do you think one thing is better than one 138 00:09:03,800 --> 00:09:06,760 Speaker 1: of the candidates, I should say, is better for the 139 00:09:06,840 --> 00:09:10,880 Speaker 1: investment environment for companies versus the other. 140 00:09:13,600 --> 00:09:17,240 Speaker 2: So here I'm going to revert to being the CEO 141 00:09:17,400 --> 00:09:21,520 Speaker 2: of a company, where you know I'm representing both sides, 142 00:09:21,760 --> 00:09:27,120 Speaker 2: and I'm focusing therefore on innovation, which is of primary 143 00:09:27,200 --> 00:09:30,120 Speaker 2: concern to us. And I've given you a sense of 144 00:09:30,120 --> 00:09:36,599 Speaker 2: where we think both sides are on innovation regulations. That 145 00:09:36,760 --> 00:09:39,800 Speaker 2: the one the one that will lower more regulations because 146 00:09:39,880 --> 00:09:45,280 Speaker 2: regulations are strangling this economy. Strangling small business, strangling big business. 147 00:09:46,160 --> 00:09:49,440 Speaker 2: That's a very important one. Wells would be as well. 148 00:09:49,480 --> 00:09:52,000 Speaker 1: So fair enough, fair enough, Well, let's talk innovation. Which 149 00:09:52,120 --> 00:09:53,000 Speaker 1: is your world? 150 00:09:53,520 --> 00:09:53,800 Speaker 2: AI? 151 00:09:53,960 --> 00:09:57,400 Speaker 1: Big news this week Open Aiyes, raising six and a 152 00:09:57,440 --> 00:10:00,760 Speaker 1: half billion a new funding, one hundred fifty seven billion 153 00:10:00,800 --> 00:10:05,040 Speaker 1: dollar valuation. Are put in two hundred and fifty million dollars, 154 00:10:05,080 --> 00:10:07,400 Speaker 1: the Wall Street Journal reminding us that that's the minimum 155 00:10:07,440 --> 00:10:11,880 Speaker 1: amount required to open up their financial document. So why 156 00:10:11,920 --> 00:10:14,600 Speaker 1: this investment, Why are you interested? And what did you 157 00:10:14,800 --> 00:10:18,640 Speaker 1: learn about the company and its growth trajectory or about 158 00:10:18,679 --> 00:10:23,640 Speaker 1: the business to be quite fair looking at those financial documents. 159 00:10:23,480 --> 00:10:26,680 Speaker 2: Well, we've been doing research on AI for ten years now. 160 00:10:26,840 --> 00:10:31,480 Speaker 2: That's why we were so early into in Vidia, and 161 00:10:32,080 --> 00:10:36,560 Speaker 2: you know we've obviously taken it down in most of 162 00:10:36,600 --> 00:10:40,040 Speaker 2: our portfolios out of the flagship. One of the things 163 00:10:40,080 --> 00:10:45,200 Speaker 2: that we've been looking for is the next big play, 164 00:10:46,400 --> 00:10:49,840 Speaker 2: and you know, we think Nvidia is still a fine stock, 165 00:10:50,480 --> 00:10:55,560 Speaker 2: but in terms of the unexpected out there, we do 166 00:10:55,640 --> 00:10:59,079 Speaker 2: think it's going to be in the software layers. And 167 00:10:59,480 --> 00:11:03,280 Speaker 2: as you know, Palenteer has been a big position for 168 00:11:03,400 --> 00:11:06,959 Speaker 2: us in the top ten UiPath as well. It had 169 00:11:06,960 --> 00:11:09,959 Speaker 2: a stumble, but it's coming back now, and I think 170 00:11:10,000 --> 00:11:13,240 Speaker 2: as more and more people understand how well positioned it is, 171 00:11:14,200 --> 00:11:16,440 Speaker 2: it will do very well. But a lot of the 172 00:11:16,480 --> 00:11:19,720 Speaker 2: software companies that we think are going to benefit are 173 00:11:19,720 --> 00:11:22,480 Speaker 2: in the private sector. And I'm thrilled that we have 174 00:11:22,520 --> 00:11:29,719 Speaker 2: a venture fund. That is really our purpose here is 175 00:11:30,000 --> 00:11:35,160 Speaker 2: to democratize venture capital, so that for five hundred dollars, 176 00:11:35,280 --> 00:11:39,120 Speaker 2: you know, anyone can get access to open ai, which 177 00:11:39,200 --> 00:11:42,440 Speaker 2: is the third largest position, or SpaceX, which is the 178 00:11:42,559 --> 00:11:47,360 Speaker 2: largest position. But if you look at software, many people say, well, 179 00:11:47,360 --> 00:11:51,520 Speaker 2: we have so many software companies in the public markets, 180 00:11:51,559 --> 00:11:55,000 Speaker 2: what do you mean? And what we mean by that 181 00:11:55,160 --> 00:11:58,640 Speaker 2: is we think that the software world's going to change 182 00:11:58,679 --> 00:12:02,360 Speaker 2: fairly dramatically, and we're going to see a shift, maybe 183 00:12:02,640 --> 00:12:06,600 Speaker 2: a share shift, away from software as a service towards 184 00:12:06,720 --> 00:12:11,720 Speaker 2: platform as a service, so so think about Palenteer and 185 00:12:11,840 --> 00:12:16,360 Speaker 2: Foundation models an infrastructure as a service so cloud. And 186 00:12:16,400 --> 00:12:20,240 Speaker 2: the reason for that is because engineers are going to 187 00:12:20,280 --> 00:12:23,880 Speaker 2: be made so much more productive, developers so much more 188 00:12:23,920 --> 00:12:30,599 Speaker 2: productive by open ai and Anthropic and XAI and and 189 00:12:31,120 --> 00:12:35,920 Speaker 2: Google and Meta Meta's Lama three. We're going to see 190 00:12:35,960 --> 00:12:42,320 Speaker 2: companies customizing their own software, customizing software for their own 191 00:12:42,440 --> 00:12:47,960 Speaker 2: companies as opposed to just going automatically to know one 192 00:12:48,000 --> 00:12:50,040 Speaker 2: size fits all software as a service. 193 00:12:50,120 --> 00:12:51,839 Speaker 3: Hey, Kathy, forgive me. We only have a couple of 194 00:12:51,840 --> 00:12:53,000 Speaker 3: minutes left, so I want to get in a few 195 00:12:53,000 --> 00:12:55,000 Speaker 3: more questions here. I don't mean to keep interrupting you, 196 00:12:55,120 --> 00:12:57,560 Speaker 3: but you mentioned closing out your stake in nvidio. You 197 00:12:57,600 --> 00:13:00,720 Speaker 3: did that in the Flagship Arc Innovation Fund last year, 198 00:13:01,880 --> 00:13:03,480 Speaker 3: but you also told us back in March that you 199 00:13:03,559 --> 00:13:05,840 Speaker 3: use some of that to buy into Coinbase. Since February 200 00:13:05,840 --> 00:13:08,000 Speaker 3: of twenty twenty three, Coinbase is up a bit more 201 00:13:08,040 --> 00:13:11,080 Speaker 3: than one hundred and fifty percent, no question, a great return. 202 00:13:11,320 --> 00:13:14,560 Speaker 3: But in Vidia up nearly five hundred percent since that time. 203 00:13:14,640 --> 00:13:16,200 Speaker 3: Do you regret that move last year? 204 00:13:17,600 --> 00:13:22,040 Speaker 2: If you had Look, if I had bought both Coinbase 205 00:13:22,160 --> 00:13:24,920 Speaker 2: and Innvidia and sold something else, would I have been 206 00:13:25,160 --> 00:13:29,240 Speaker 2: happier about that decision? Sure, I would have been happier. Actually, 207 00:13:29,679 --> 00:13:33,080 Speaker 2: from the time we bought Coinbase to the time maybe 208 00:13:33,120 --> 00:13:35,520 Speaker 2: we were talking to you, or whenever we measured it, 209 00:13:35,800 --> 00:13:38,480 Speaker 2: Coinbase actually had done better than in Nvidia. It has 210 00:13:38,559 --> 00:13:41,720 Speaker 2: come back in in Vidia has had another big run. 211 00:13:42,559 --> 00:13:47,719 Speaker 2: But we're now really focused on the future, and so 212 00:13:47,720 --> 00:13:51,679 Speaker 2: software to us is going to be a huge opportunity. 213 00:13:51,760 --> 00:13:59,400 Speaker 2: Foundation models. We think we'll deliver fifteen trillion dollars around 214 00:13:59,440 --> 00:14:03,439 Speaker 2: that in the next five to ten years in market cap. 215 00:14:03,960 --> 00:14:08,840 Speaker 2: That's from a standing start, So and we'll see what 216 00:14:08,880 --> 00:14:11,920 Speaker 2: happens to video over that time. You know, I think, is. 217 00:14:11,840 --> 00:14:14,559 Speaker 1: There something that could make you buy into Envideo at 218 00:14:14,559 --> 00:14:18,560 Speaker 1: this point or added to your flag jat, I mean, 219 00:14:18,559 --> 00:14:20,239 Speaker 1: I know you owe some but yeah. 220 00:14:20,760 --> 00:14:23,720 Speaker 2: Yeah, yeah, if the if the price came down. You know, again, 221 00:14:23,840 --> 00:14:29,960 Speaker 2: I think I must say one of perhaps my weaknesses 222 00:14:30,200 --> 00:14:35,320 Speaker 2: in a momentum market is watching, you know, watching a 223 00:14:35,400 --> 00:14:38,560 Speaker 2: lot of momentum drive the stock and realizing that a 224 00:14:38,600 --> 00:14:41,200 Speaker 2: lot of people who never owned it are getting in 225 00:14:41,240 --> 00:14:46,400 Speaker 2: and my weak holders. So you know that that factored 226 00:14:46,440 --> 00:14:49,840 Speaker 2: into my thinking. But you know, we enjoyed if you 227 00:14:50,040 --> 00:14:53,880 Speaker 2: if we got into Nvidia forty cents based on this 228 00:14:54,080 --> 00:14:59,160 Speaker 2: stock in twenty fourteen, so you know, wherever we got out, 229 00:14:59,280 --> 00:15:02,120 Speaker 2: we were extremely happy with what It's been the third 230 00:15:02,240 --> 00:15:06,640 Speaker 2: largest contributor to our flagship fund. So you know, tactically 231 00:15:06,800 --> 00:15:09,920 Speaker 2: sure we would have loved to still have it, you know, 232 00:15:10,160 --> 00:15:13,600 Speaker 2: at you know, a bigger position in the portfolios. But 233 00:15:14,000 --> 00:15:17,400 Speaker 2: again We're all about the future, and our research is 234 00:15:17,520 --> 00:15:22,360 Speaker 2: focusing us on this software layer that has has huge 235 00:15:22,360 --> 00:15:23,560 Speaker 2: amounts of appreciation. 236 00:15:23,640 --> 00:15:26,000 Speaker 1: Ahead, let's go to Tesla, number one holding in your 237 00:15:26,000 --> 00:15:29,600 Speaker 1: flagship our innovation ETF. It's down about forty percent. It's 238 00:15:29,640 --> 00:15:32,240 Speaker 1: an all time high back in November of twenty twenty one. 239 00:15:32,280 --> 00:15:36,240 Speaker 1: Little change here to date. You know, when when do 240 00:15:36,240 --> 00:15:39,520 Speaker 1: you decide? You know, in terms of Tesla, you know 241 00:15:39,600 --> 00:15:42,600 Speaker 1: it's a different marketed EV market. You understand, you know 242 00:15:42,640 --> 00:15:45,400 Speaker 1: what's going on in that marketplace more than ever. You know, 243 00:15:45,680 --> 00:15:46,920 Speaker 1: what is your thinking. 244 00:15:46,640 --> 00:15:48,320 Speaker 2: About Tesla today? 245 00:15:49,600 --> 00:15:51,440 Speaker 1: You've got an estimate of twenty six hundred dollars a 246 00:15:51,440 --> 00:15:53,640 Speaker 1: share for twenty twenty nine. What gets us there? And 247 00:15:53,720 --> 00:15:56,760 Speaker 1: just quickly sorry, we've only got about thirty seconds. 248 00:15:56,920 --> 00:16:01,480 Speaker 2: Autonomous mobility think ten ten October ten. Here that is 249 00:16:01,520 --> 00:16:05,920 Speaker 2: going to focus analysts not just on a VS but 250 00:16:06,240 --> 00:16:10,880 Speaker 2: on the autonomous opportunity. Tesla is the largest AI project 251 00:16:10,920 --> 00:16:16,000 Speaker 2: in the world. Talk about shifting resources from Nvidia into Tesla. 252 00:16:16,320 --> 00:16:19,200 Speaker 2: We think longer term that is going to prove to 253 00:16:19,240 --> 00:16:20,560 Speaker 2: be a very good view. 254 00:16:20,720 --> 00:16:23,040 Speaker 1: We know you have to run, so appreciate your time. 255 00:16:23,120 --> 00:16:23,480 Speaker 2: B well. 256 00:16:23,720 --> 00:16:25,880 Speaker 1: Kathy Wood. Of course, of ARC invests, joining us right 257 00:16:25,920 --> 00:16:28,120 Speaker 1: here on Bloomberg BusinessWeek, on radio and TV,