1 00:00:02,360 --> 00:00:16,480 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, single best idea on 2 00:00:16,520 --> 00:00:19,439 Speaker 1: a Friday. We're supposed to slide into the holiday weekend. 3 00:00:20,000 --> 00:00:23,400 Speaker 1: No we didn't. Michael Barr couldn't focus because of Bills 4 00:00:23,480 --> 00:00:27,080 Speaker 1: Lions this weekend big football game. I'm rooting for the 5 00:00:27,120 --> 00:00:29,400 Speaker 1: Bills and mister Barr of course with the Lions. But 6 00:00:30,040 --> 00:00:33,199 Speaker 1: far more than that was a hugely anticipated conversation with 7 00:00:33,280 --> 00:00:36,640 Speaker 1: Dan Ives and Gene Munster about what we're all living, 8 00:00:36,840 --> 00:00:40,600 Speaker 1: which is this Mag seven juggernaut. We opened it with 9 00:00:40,920 --> 00:00:44,240 Speaker 1: all sorts of people to talk about MAG seven. Away 10 00:00:44,240 --> 00:00:49,600 Speaker 1: from Ives and Munster, here is Michael Purvis of tallbacking 11 00:00:50,320 --> 00:00:53,800 Speaker 1: on institutional ownership of the Mag seven. They're not. 12 00:00:53,840 --> 00:00:56,000 Speaker 2: No, I don't think they're under owned in any any 13 00:00:56,040 --> 00:01:00,720 Speaker 2: significant way. Of that said, you know, if you look 14 00:01:00,760 --> 00:01:03,920 Speaker 2: at a lot of different valuation metrics relative to their 15 00:01:03,960 --> 00:01:07,240 Speaker 2: growth rates, you know they're a little bit more easier 16 00:01:07,240 --> 00:01:09,759 Speaker 2: to own right now than I think the Russell two thousand, 17 00:01:09,800 --> 00:01:13,039 Speaker 2: for example, which has been you know, everyone's favorite rotation trade, 18 00:01:13,080 --> 00:01:17,039 Speaker 2: but it's simply not. It doesn't have the fundamental underpinnings there. 19 00:01:17,560 --> 00:01:19,160 Speaker 2: And I think the other thing that you have to 20 00:01:19,200 --> 00:01:22,880 Speaker 2: think about as you're talking about twenty twenty five, is 21 00:01:22,920 --> 00:01:26,480 Speaker 2: that there simply is sort of a higher political risk 22 00:01:26,520 --> 00:01:29,479 Speaker 2: premium if you will, that's going to bleed into some 23 00:01:29,560 --> 00:01:33,600 Speaker 2: of the economic forces that underscore those earnings and some 24 00:01:33,680 --> 00:01:36,320 Speaker 2: of the more smaller domestic companies. So I think that 25 00:01:36,520 --> 00:01:39,199 Speaker 2: that begs for the question about whether there is sort 26 00:01:39,200 --> 00:01:42,000 Speaker 2: of a political risk premium, if you will, on some 27 00:01:42,120 --> 00:01:45,120 Speaker 2: of those more domestic shares. The other path of that 28 00:01:45,200 --> 00:01:47,280 Speaker 2: question is is what's going to sort of, you know, 29 00:01:47,720 --> 00:01:50,720 Speaker 2: blaze the path forwards next year. I'm going to be 30 00:01:50,720 --> 00:01:54,320 Speaker 2: boring Tom and say it's going to be those magnificent 31 00:01:54,400 --> 00:01:55,720 Speaker 2: six or seven synocks there. 32 00:01:56,200 --> 00:01:59,040 Speaker 1: Michael Purvis getting a set for the conversation with Dan 33 00:01:59,080 --> 00:02:03,480 Speaker 1: Ives of Webbush Gene Monster of deep Water. Dan Ives 34 00:02:03,640 --> 00:02:06,440 Speaker 1: on the path for Apple to four trillion. 35 00:02:06,720 --> 00:02:09,840 Speaker 3: It's like with Apple originally, and Jean's talking about it 36 00:02:09,880 --> 00:02:12,639 Speaker 3: as well. You just looked at Apple as a hardware 37 00:02:12,680 --> 00:02:15,519 Speaker 3: player smartphone. But what's been the key to the evaluation 38 00:02:15,560 --> 00:02:17,240 Speaker 3: why it's gonna be the first one the four trillion 39 00:02:17,280 --> 00:02:21,120 Speaker 3: dollar mark club. It's because of services. It's because so 40 00:02:21,160 --> 00:02:24,600 Speaker 3: when you think about Tesla, I would compare autonomous the 41 00:02:24,760 --> 00:02:29,040 Speaker 3: software FSD to Apple Services relative to that cup of 42 00:02:29,120 --> 00:02:32,639 Speaker 3: Tino story. That's why it's so important seven million vehicles 43 00:02:32,639 --> 00:02:35,079 Speaker 3: out that you have ten million vehicles over next year 44 00:02:35,120 --> 00:02:37,320 Speaker 3: or two. And even when you look at Waimo, which 45 00:02:37,360 --> 00:02:39,839 Speaker 3: is a Google play, tho's a two hundred thousand hours. 46 00:02:40,360 --> 00:02:42,600 Speaker 1: Paul Sweeney and I look at the ceiling, going wait, 47 00:02:42,680 --> 00:02:45,400 Speaker 1: the dees screen has Tesla with a one hundred and 48 00:02:45,400 --> 00:02:48,919 Speaker 1: seventy two price to earnings ratio. We get a DAN. 49 00:02:49,080 --> 00:02:51,720 Speaker 1: I mean we understand it as well. And of course 50 00:02:51,760 --> 00:02:54,880 Speaker 1: the emotion that we see on Bloomberg surveillance sometimes I'm 51 00:02:54,919 --> 00:02:58,560 Speaker 1: overwhelmed to tears gene monster on daan. 52 00:02:58,680 --> 00:03:00,760 Speaker 4: Iives it's gonna say one thing about Dan for a 53 00:03:00,760 --> 00:03:05,200 Speaker 4: second before I answer that no one illustrates as a 54 00:03:05,240 --> 00:03:08,560 Speaker 4: better language of kind of illustrating what goes on than DAN. 55 00:03:08,680 --> 00:03:11,119 Speaker 4: So I just appreciate that at the party because that's 56 00:03:11,160 --> 00:03:15,480 Speaker 4: exactly what's going on in terms of Google. Basically, the 57 00:03:15,480 --> 00:03:18,480 Speaker 4: pressure point on this is I don't think it's around regulation. 58 00:03:18,520 --> 00:03:20,079 Speaker 4: I don't think anything's gonna happen there. I think it's 59 00:03:20,120 --> 00:03:23,200 Speaker 4: really what happens with search, and coming back to what 60 00:03:23,360 --> 00:03:25,880 Speaker 4: happened in the September quarter, I think was the most 61 00:03:25,960 --> 00:03:29,359 Speaker 4: important number, that search number that Google has had in 62 00:03:29,360 --> 00:03:31,960 Speaker 4: the last decade. Specifically is that they saw on acceleration 63 00:03:32,040 --> 00:03:35,440 Speaker 4: in the US after one full quarter of these AI overviews. 64 00:03:35,440 --> 00:03:38,160 Speaker 4: And so what that meant is by them injecting a 65 00:03:38,160 --> 00:03:40,080 Speaker 4: at the top of the search results, that they were 66 00:03:40,080 --> 00:03:42,920 Speaker 4: still getting more search revenue. And that's kind of the 67 00:03:43,200 --> 00:03:46,520 Speaker 4: keeps what has been keeping investors up at night. The 68 00:03:46,560 --> 00:03:50,720 Speaker 4: other beautiful part about the Google story is, you know 69 00:03:50,720 --> 00:03:53,640 Speaker 4: they have these other bets. I think what happened related to, 70 00:03:54,240 --> 00:03:56,480 Speaker 4: you know, their quantum computing that at two hundred and 71 00:03:56,520 --> 00:03:58,680 Speaker 4: fifty billion in market cap this week, that was probably 72 00:03:58,680 --> 00:04:01,280 Speaker 4: a little bit of a stretch. But what they have 73 00:04:01,360 --> 00:04:03,400 Speaker 4: around Weymo we can talk about in the next segment 74 00:04:03,400 --> 00:04:06,160 Speaker 4: what's going on there. And re loved to to Tesla. 75 00:04:06,240 --> 00:04:09,080 Speaker 4: But I just think Google's in a great position for 76 00:04:09,120 --> 00:04:09,960 Speaker 4: this AI party. 77 00:04:10,320 --> 00:04:13,840 Speaker 1: Gene Monster and Dana ives there on Technology, thank you 78 00:04:13,880 --> 00:04:18,160 Speaker 1: for the huge response, particularly on YouTube nationwide and indeed 79 00:04:18,160 --> 00:04:22,440 Speaker 1: worldwide today, big big international audience. Good morning to all 80 00:04:22,480 --> 00:04:26,360 Speaker 1: of you on your commute. We're on Apple CarPlay, Android Auto, 81 00:04:27,080 --> 00:04:30,280 Speaker 1: ninety nine one FM in Washington, ninety two nine FM 82 00:04:30,520 --> 00:04:33,760 Speaker 1: in Boston. It's great to talk about the mill Hill 83 00:04:33,839 --> 00:04:37,720 Speaker 1: Club today that was a few years back, and Bloomberg 84 00:04:37,720 --> 00:04:41,840 Speaker 1: eleven three to zero AM in New York City as 85 00:04:42,000 --> 00:04:45,880 Speaker 1: well on YouTube podcasts. This is a single best idea