1 00:00:02,520 --> 00:00:09,120 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Daniel Ives joining us. Dan, 2 00:00:09,160 --> 00:00:10,680 Speaker 1: I want to get this out of the way right away. 3 00:00:10,720 --> 00:00:14,120 Speaker 1: You're in registration on an ETF. Come on top of 4 00:00:14,160 --> 00:00:16,160 Speaker 1: the market. You just want to be on the cover 5 00:00:16,239 --> 00:00:19,119 Speaker 1: of Barons. Why is your ETF going to be different 6 00:00:19,400 --> 00:00:22,439 Speaker 1: than the four thousand others out there that don't wear 7 00:00:22,520 --> 00:00:23,560 Speaker 1: pink coats? 8 00:00:24,960 --> 00:00:27,000 Speaker 2: Yeah, and it'll get launch yesterday. 9 00:00:27,120 --> 00:00:31,520 Speaker 3: And look to me, it's twenty five years covering tech, right, 10 00:00:31,560 --> 00:00:35,199 Speaker 3: I mean, it's it's all the research we do in 11 00:00:35,280 --> 00:00:37,120 Speaker 3: tech and all the investors around the world that have 12 00:00:37,240 --> 00:00:38,000 Speaker 3: followed us. 13 00:00:38,320 --> 00:00:40,400 Speaker 2: Now it's an ETF focused on AI. 14 00:00:41,159 --> 00:00:43,760 Speaker 1: What do you what do you envision a portfolio turnover 15 00:00:43,880 --> 00:00:45,360 Speaker 1: rate will be? Is this going to be buy and 16 00:00:45,400 --> 00:00:48,040 Speaker 1: hold stodgy ETF or you're going to be in their 17 00:00:48,120 --> 00:00:48,760 Speaker 1: day trading. 18 00:00:49,560 --> 00:00:52,440 Speaker 2: No, it's gonna be It's gonna be pretty long term, right. 19 00:00:52,440 --> 00:00:54,520 Speaker 3: I mean we could have changes in terms of our 20 00:00:54,720 --> 00:00:59,360 Speaker 3: ives AI thirty that meet this up, but look this 21 00:00:59,640 --> 00:01:01,920 Speaker 3: it's a living organism, right, and I think the AI 22 00:01:01,960 --> 00:01:05,000 Speaker 3: revolution we've talked about the reason we're doing it now 23 00:01:05,360 --> 00:01:09,000 Speaker 3: this is only Remember it's only ten pm in the 24 00:01:09,080 --> 00:01:11,759 Speaker 3: AI party that goes to four am. 25 00:01:12,200 --> 00:01:15,319 Speaker 1: Okay, Dan, Michael Purvis just in with us here on 26 00:01:15,400 --> 00:01:18,840 Speaker 1: the Microsoft moonshot. You know, he's saying it's techs up 27 00:01:18,880 --> 00:01:21,360 Speaker 1: text down that I don't buy it. What I see 28 00:01:21,400 --> 00:01:25,319 Speaker 1: here as a bet on future earnings persistency. Can the 29 00:01:25,400 --> 00:01:30,679 Speaker 1: tech group sustain up thirty percent growth or do they 30 00:01:30,760 --> 00:01:34,560 Speaker 1: have that still whopping up sixteen percent growth? What's your 31 00:01:34,680 --> 00:01:37,520 Speaker 1: bundled growth rate for tech Forward? 32 00:01:38,720 --> 00:01:41,160 Speaker 2: I mean, look, I think it's acceleration here. 33 00:01:41,200 --> 00:01:43,720 Speaker 3: I mean to me, I think Street's under estimating tech 34 00:01:43,760 --> 00:01:47,000 Speaker 3: growth by three to five hundred BIPs for the rest 35 00:01:47,000 --> 00:01:50,040 Speaker 3: of the year. I mean, look, what's happening in terms 36 00:01:50,080 --> 00:01:52,840 Speaker 3: of the AI spending trend, and when it comes to 37 00:01:52,880 --> 00:01:56,920 Speaker 3: what's happened Redmond, that's right in their backyard. That's why 38 00:01:57,040 --> 00:01:59,400 Speaker 3: Microsoft is going to be the one that I think 39 00:01:59,440 --> 00:02:02,560 Speaker 3: that's a stop. Five hundred's next stop. And ultimately, you know, 40 00:02:02,680 --> 00:02:04,960 Speaker 3: five fifty six hundred does not out of the question. 41 00:02:05,280 --> 00:02:05,440 Speaker 4: JN. 42 00:02:05,600 --> 00:02:10,400 Speaker 1: Paul up Tucker told me time, Oh, by Redman there exactly. 43 00:02:10,440 --> 00:02:11,720 Speaker 1: I didn't do well. 44 00:02:11,800 --> 00:02:14,640 Speaker 4: There you go exactly. Hey, Dan, Alex Steele and I 45 00:02:14,880 --> 00:02:16,560 Speaker 4: you know, we just spent two days with the folks 46 00:02:16,600 --> 00:02:19,040 Speaker 4: at Bank of New York at one of their offsite 47 00:02:19,200 --> 00:02:22,000 Speaker 4: conferences with their wealth management clients and the B and 48 00:02:22,120 --> 00:02:26,120 Speaker 4: Y people, to a person said, the most important thing 49 00:02:26,160 --> 00:02:30,200 Speaker 4: in their business is AI. Just help us step back 50 00:02:30,280 --> 00:02:34,120 Speaker 4: thirty thousand feet. Now that you've got this ETF, where 51 00:02:34,160 --> 00:02:38,800 Speaker 4: are we in kind of the ETF deployment, adoption spending. 52 00:02:38,880 --> 00:02:40,320 Speaker 4: Give us a thirty thousand foot view. 53 00:02:41,320 --> 00:02:43,679 Speaker 2: Yeah, I mean, look, I but I agree with what 54 00:02:44,480 --> 00:02:45,079 Speaker 2: they're saying. 55 00:02:45,160 --> 00:02:48,280 Speaker 3: I mean, I think this is the biggest tech trend 56 00:02:48,480 --> 00:02:51,160 Speaker 3: that we've seen, not just in twenty five years for us, 57 00:02:51,200 --> 00:02:53,520 Speaker 3: but I think that we've seen the last forty fifty years. 58 00:02:53,800 --> 00:02:57,560 Speaker 3: And I think it Look, it's changing the investing climate, right, 59 00:02:57,880 --> 00:03:01,520 Speaker 3: it's changing the appetite for risk and Paul, my view 60 00:03:01,639 --> 00:03:05,400 Speaker 3: is that both from the operations, from the use cases 61 00:03:05,480 --> 00:03:09,560 Speaker 3: perspective they're excluding across financial services, and the appetite for 62 00:03:09,639 --> 00:03:13,440 Speaker 3: investors globally when it comes to AI again, you want 63 00:03:13,480 --> 00:03:15,440 Speaker 3: to be in the left lane of Ferrari in terms 64 00:03:15,520 --> 00:03:18,080 Speaker 3: of big tech going ninety five miles an hour not 65 00:03:18,600 --> 00:03:20,440 Speaker 3: you know, a lot of these are sort of value 66 00:03:20,560 --> 00:03:21,640 Speaker 3: thirty miles an hour. 67 00:03:21,800 --> 00:03:24,480 Speaker 2: Right, Lan in a minivan to me, I just continue 68 00:03:24,560 --> 00:03:25,480 Speaker 2: right on tech. 69 00:03:25,639 --> 00:03:28,440 Speaker 1: Dan, I the time we've got left the one lagger here. 70 00:03:28,480 --> 00:03:32,079 Speaker 1: The chart is amazing, folks. Apple is so different from 71 00:03:32,120 --> 00:03:34,840 Speaker 1: the other mag seven's and there's this thing in this 72 00:03:34,880 --> 00:03:36,800 Speaker 1: thing Ives. I'm sure he'll be in the third row 73 00:03:37,400 --> 00:03:40,320 Speaker 1: at the conference coming up for Apple. I'm looking at 74 00:03:40,320 --> 00:03:44,120 Speaker 1: the screen, Dan Ives, and I'm modeling ninety two one 75 00:03:44,240 --> 00:03:48,240 Speaker 1: eleven one o eight, ninety eight, one oh four, maybe 76 00:03:48,280 --> 00:03:51,320 Speaker 1: a modeled one hundred and twenty one billion of free 77 00:03:51,400 --> 00:03:55,800 Speaker 1: cash flow out in the next eighteen months. Did you 78 00:03:55,960 --> 00:03:59,160 Speaker 1: just see that financial performance coming right back over to 79 00:03:59,200 --> 00:04:02,880 Speaker 1: a stock lift or is it a product China issue? 80 00:04:04,040 --> 00:04:07,000 Speaker 2: Well, first off, I think free cash is being underestimated 81 00:04:07,320 --> 00:04:10,200 Speaker 2: in terms of those numbers. And look, we'll be there 82 00:04:10,240 --> 00:04:10,840 Speaker 2: on Monday. 83 00:04:12,280 --> 00:04:15,720 Speaker 3: It comes down to like they were late on AI, 84 00:04:16,200 --> 00:04:20,039 Speaker 3: but the consumer AI revolutions coming through Apple, and I 85 00:04:20,040 --> 00:04:22,920 Speaker 3: think what you will see laid out Monday is now 86 00:04:23,160 --> 00:04:26,599 Speaker 3: sort of going to be the blueprint for how developers 87 00:04:26,640 --> 00:04:29,200 Speaker 3: are going to be building AI on top Apple. And 88 00:04:29,240 --> 00:04:31,880 Speaker 3: then my view is like this overhead and net we're 89 00:04:31,880 --> 00:04:36,320 Speaker 3: seeing here, this will be short lived as the growth 90 00:04:36,400 --> 00:04:38,720 Speaker 3: comes back to this story, and I continue to think 91 00:04:38,760 --> 00:04:42,440 Speaker 3: it's just it's a China driven caught in this category 92 00:04:42,520 --> 00:04:43,520 Speaker 3: five Tariff. 93 00:04:43,240 --> 00:04:49,320 Speaker 4: Storm, DAN the Dan ives webbush AI Revolution ETF. Who 94 00:04:49,400 --> 00:04:52,640 Speaker 4: is the target audience for this? Do you guys think? 95 00:04:52,760 --> 00:04:55,200 Speaker 4: And and then second, just gud, what's the timing? When 96 00:04:55,279 --> 00:04:56,760 Speaker 4: is this coming to market? 97 00:04:57,040 --> 00:05:00,679 Speaker 3: Yeah, it came to market yesterday and obviously very exciting 98 00:05:00,760 --> 00:05:04,800 Speaker 3: first day. Look, it's institutional, but obviously it's retail allowed 99 00:05:04,800 --> 00:05:07,040 Speaker 3: of investors from around the world. Right, I mean, wherever 100 00:05:07,080 --> 00:05:10,000 Speaker 3: I go, people say, how do you play AI? Now 101 00:05:10,040 --> 00:05:14,440 Speaker 3: you're given the vehicle to play my research that ultimately 102 00:05:14,440 --> 00:05:15,640 Speaker 3: builds this AI theme. 103 00:05:15,720 --> 00:05:18,520 Speaker 2: That's what really I think what differentiates is, so, how. 104 00:05:18,360 --> 00:05:21,640 Speaker 1: Has your day changed now that you're a portfolio manager 105 00:05:21,720 --> 00:05:22,440 Speaker 1: A wise one? 106 00:05:23,520 --> 00:05:27,640 Speaker 2: But Tom, it doesn't change because this is all built 107 00:05:27,680 --> 00:05:28,440 Speaker 2: in a research. 108 00:05:28,880 --> 00:05:31,799 Speaker 3: If I add, if I'm upgrading, if I'm adding names, 109 00:05:31,880 --> 00:05:35,359 Speaker 3: all of the research, the AI thirty the ETF is 110 00:05:35,400 --> 00:05:39,400 Speaker 3: the first TTF built on an analyst research. And I 111 00:05:39,440 --> 00:05:42,640 Speaker 3: think that's one where investors around the world that follow 112 00:05:42,760 --> 00:05:46,320 Speaker 3: us and they navigate us for decades, this is now 113 00:05:46,400 --> 00:05:49,320 Speaker 3: the actual vehicle to play our research in a theme. 114 00:05:49,640 --> 00:05:51,680 Speaker 1: Look at you with the waitings. I've got it on 115 00:05:51,680 --> 00:05:54,600 Speaker 1: the Bloomberg terminal. Of course, folks, that's the way reroll. 116 00:05:54,640 --> 00:05:56,680 Speaker 1: I'm gonna do the math. We gotta go to bar. 117 00:05:56,800 --> 00:05:59,000 Speaker 1: But come on, Dan, what are you old? Like eight 118 00:06:00,240 --> 00:06:01,919 Speaker 1: eight holdings in your ATF. 119 00:06:03,279 --> 00:06:07,120 Speaker 3: It's the AI thirty, it's the the ives AI thirty, 120 00:06:07,279 --> 00:06:09,599 Speaker 3: thirty names that make. 121 00:06:09,480 --> 00:06:11,240 Speaker 2: Up what I've used the AI Revolution. 122 00:06:11,400 --> 00:06:16,119 Speaker 3: And look it's like this is just it's the second, third, 123 00:06:16,240 --> 00:06:17,360 Speaker 3: fourth derivatives. 124 00:06:17,520 --> 00:06:21,720 Speaker 1: Right, That's why I listened to day Night's congratulations on that, 125 00:06:21,800 --> 00:06:26,279 Speaker 1: really really major, major congratulations. May you survive the first 126 00:06:26,680 --> 00:06:27,359 Speaker 1: ninety days